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
223 lines
7.2 KiB
Python
223 lines
7.2 KiB
Python
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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"""
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Date: 2025/8/26 15:00
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Desc: REITs 行情及信息
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https://quote.eastmoney.com/center/gridlist.html#fund_reits_all
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https://www.jisilu.cn/data/cnreits/#CnReits
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"""
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from functools import lru_cache
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from typing import Dict
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import pandas as pd
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import requests
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@lru_cache()
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def __reits_code_market_map() -> Dict:
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"""
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东方财富网-行情中心-REITs-沪深 REITs
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https://quote.eastmoney.com/center/gridlist.html#fund_reits_all
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:return: 沪深 REITs-实时行情
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:rtype: pandas.DataFrame
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"""
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url = "https://95.push2.eastmoney.com/api/qt/clist/get"
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params = {
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"pn": "1",
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"pz": "100",
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"po": "1",
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"np": "1",
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"ut": "bd1d9ddb04089700cf9c27f6f7426281",
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"fltt": "2",
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"invt": "2",
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"fid": "f3",
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"fs": "m:1 t:9 e:97,m:0 t:10 e:97",
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"fields": "f12,f13",
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}
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r = requests.get(url, params=params)
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data_json = r.json()
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temp_df = pd.DataFrame(data_json["data"]["diff"])
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temp_dict = dict(zip(temp_df["f12"], temp_df["f13"]))
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return temp_dict
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def reits_realtime_em() -> pd.DataFrame:
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"""
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东方财富网-行情中心-REITs-沪深 REITs
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https://quote.eastmoney.com/center/gridlist.html#fund_reits_all
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:return: 沪深 REITs-实时行情
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:rtype: pandas.DataFrame
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"""
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url = "https://95.push2.eastmoney.com/api/qt/clist/get"
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params = {
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"pn": "1",
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"pz": "100",
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"po": "1",
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"np": "1",
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"ut": "bd1d9ddb04089700cf9c27f6f7426281",
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"fltt": "2",
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"invt": "2",
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"fid": "f3",
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"fs": "m:1 t:9 e:97,m:0 t:10 e:97",
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"fields": "f2,f3,f4,f5,f6,f12,f14,f15,f16,f17,f18",
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}
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r = requests.get(url, params=params)
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data_json = r.json()
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temp_df = pd.DataFrame(data_json["data"]["diff"])
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temp_df.reset_index(inplace=True)
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temp_df["index"] = range(1, len(temp_df) + 1)
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temp_df.rename(
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columns={
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"index": "序号",
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"f2": "最新价",
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"f3": "涨跌幅",
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"f4": "涨跌额",
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"f5": "成交量",
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"f6": "成交额",
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"f12": "代码",
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"f14": "名称",
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"f15": "最高价",
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"f16": "最低价",
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"f17": "开盘价",
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"f18": "昨收",
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"f13": "市场标识",
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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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"序号",
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"代码",
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"名称",
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"最新价",
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"涨跌额",
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"涨跌幅",
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"成交量",
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"成交额",
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"开盘价",
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"最高价",
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"最低价",
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"昨收",
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]
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]
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temp_df["最新价"] = pd.to_numeric(temp_df["最新价"], errors="coerce")
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temp_df["涨跌额"] = pd.to_numeric(temp_df["涨跌额"], errors="coerce")
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temp_df["涨跌幅"] = pd.to_numeric(temp_df["涨跌幅"], errors="coerce")
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temp_df["成交量"] = pd.to_numeric(temp_df["成交量"], errors="coerce")
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temp_df["成交额"] = pd.to_numeric(temp_df["成交额"], errors="coerce")
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temp_df["开盘价"] = pd.to_numeric(temp_df["开盘价"], errors="coerce")
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temp_df["最高价"] = pd.to_numeric(temp_df["最高价"], errors="coerce")
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temp_df["最低价"] = pd.to_numeric(temp_df["最低价"], errors="coerce")
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temp_df["昨收"] = pd.to_numeric(temp_df["昨收"], errors="coerce")
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return temp_df
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def reits_hist_em(symbol: str = "508097") -> pd.DataFrame:
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"""
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东方财富网-行情中心-REITs-沪深 REITs-历史行情
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https://quote.eastmoney.com/sh508097.html
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:param symbol: REITs 代码
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:type symbol: str
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:return: 沪深 REITs-历史行情
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:rtype: pandas.DataFrame
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"""
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url = "https://push2his.eastmoney.com/api/qt/stock/kline/get"
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code_market_dict = __reits_code_market_map()
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params = {
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"secid": f"{code_market_dict[symbol]}.{symbol}",
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"klt": "101",
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"fqt": "1",
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"lmt": "10000",
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"end": "20500000",
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"iscca": "1",
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"fields1": "f1,f2,f3,f4,f5,f6,f7,f8",
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"fields2": "f51,f52,f53,f54,f55,f56,f57,f58,f59,f60,f61,f62,f63,f64",
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"ut": "f057cbcbce2a86e2866ab8877db1d059",
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"forcect": "1",
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}
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r = requests.get(url, params=params)
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data_json = r.json()
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temp_df = pd.DataFrame([item.split(",") for item in data_json["data"]["klines"]])
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temp_df.columns = [
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"日期",
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"今开",
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"最新价",
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"最高",
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"最低",
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"成交量",
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"成交额",
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"振幅",
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"-",
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"-",
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"换手",
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"-",
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"-",
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"-",
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]
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temp_df = temp_df[
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["日期", "今开", "最高", "最低", "最新价", "成交量", "成交额", "振幅", "换手"]
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]
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temp_df["今开"] = pd.to_numeric(temp_df["今开"], errors="coerce")
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temp_df["最高"] = pd.to_numeric(temp_df["最高"], errors="coerce")
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temp_df["最低"] = pd.to_numeric(temp_df["最低"], errors="coerce")
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temp_df["最新价"] = pd.to_numeric(temp_df["最新价"], errors="coerce")
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temp_df["成交量"] = pd.to_numeric(temp_df["成交量"], errors="coerce")
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temp_df["成交额"] = pd.to_numeric(temp_df["成交额"], errors="coerce")
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temp_df["振幅"] = pd.to_numeric(temp_df["振幅"], errors="coerce")
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temp_df["换手"] = pd.to_numeric(temp_df["换手"], errors="coerce")
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temp_df["日期"] = pd.to_datetime(temp_df["日期"], errors="coerce").dt.date
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return temp_df
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def reits_hist_min_em(symbol: str = "508097") -> pd.DataFrame:
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"""
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东方财富网-行情中心-REITs-沪深 REITs-历史行情
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https://quote.eastmoney.com/sh508097.html
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:param symbol: REITs 代码
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:type symbol: str
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:return: 沪深 REITs-历史行情
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:rtype: pandas.DataFrame
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"""
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url = "https://push2.eastmoney.com/api/qt/stock/trends2/get"
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code_market_dict = __reits_code_market_map()
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params = {
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"secid": f"{code_market_dict[symbol]}.{symbol}",
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"fields1": "f1,f2,f3,f4,f5,f6,f7,f8,f9,f10,f11,f12,f13,f14,f17",
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"fields2": "f51,f53,f54,f55,f56,f57,f58",
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"iscr": "0",
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"iscca": "0",
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"ut": "f057cbcbce2a86e2866ab8877db1d059",
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"ndays": "5",
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}
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r = requests.get(url, params=params)
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data_json = r.json()
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temp_df = pd.DataFrame([item.split(",") for item in data_json["data"]["trends"]])
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temp_df.columns = [
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"时间",
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"最新价",
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"最高",
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"最低",
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"成交量",
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"成交额",
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"昨收",
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]
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temp_df["最高"] = pd.to_numeric(temp_df["最高"], errors="coerce")
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temp_df["最低"] = pd.to_numeric(temp_df["最低"], errors="coerce")
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temp_df["最新价"] = pd.to_numeric(temp_df["最新价"], errors="coerce")
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temp_df["成交量"] = pd.to_numeric(temp_df["成交量"], errors="coerce")
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temp_df["成交额"] = pd.to_numeric(temp_df["成交额"], errors="coerce")
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return temp_df
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if __name__ == "__main__":
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reits_realtime_em_df = reits_realtime_em()
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print(reits_realtime_em_df)
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reits_hist_em_df = reits_hist_em(symbol="508097")
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print(reits_hist_em_df)
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reits_hist_min_em_df = reits_hist_min_em(symbol="508097")
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print(reits_hist_min_em_df)
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