Files
MoFin/venv/lib/python3.12/site-packages/akshare/stock/stock_cg_lawsuit.py
T
知微 fa45d8aa5f fix: 小果地址统一node122(兼容LAN+EasyTier)
- 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
2026-06-30 02:56:35 +08:00

122 lines
4.0 KiB
Python

#!/usr/bin/env python
# -*- coding:utf-8 -*-
"""
Date: 2021/9/29 16:19
Desc: 巨潮资讯-数据中心-专题统计-公司治理-公司诉讼
http://webapi.cninfo.com.cn/#/thematicStatistics
"""
import time
import pandas as pd
import requests
import py_mini_racer
js_str = """
function mcode(input) {
var keyStr = "ABCDEFGHIJKLMNOP" + "QRSTUVWXYZabcdef" + "ghijklmnopqrstuv" + "wxyz0123456789+/" + "=";
var output = "";
var chr1, chr2, chr3 = "";
var enc1, enc2, enc3, enc4 = "";
var i = 0;
do {
chr1 = input.charCodeAt(i++);
chr2 = input.charCodeAt(i++);
chr3 = input.charCodeAt(i++);
enc1 = chr1 >> 2;
enc2 = ((chr1 & 3) << 4) | (chr2 >> 4);
enc3 = ((chr2 & 15) << 2) | (chr3 >> 6);
enc4 = chr3 & 63;
if (isNaN(chr2)) {
enc3 = enc4 = 64;
} else if (isNaN(chr3)) {
enc4 = 64;
}
output = output + keyStr.charAt(enc1) + keyStr.charAt(enc2)
+ keyStr.charAt(enc3) + keyStr.charAt(enc4);
chr1 = chr2 = chr3 = "";
enc1 = enc2 = enc3 = enc4 = "";
} while (i < input.length);
return output;
}
"""
def stock_cg_lawsuit_cninfo(
symbol: str = "全部", start_date: str = "20180630", end_date: str = "20210927"
) -> pd.DataFrame:
"""
巨潮资讯-数据中心-专题统计-公司治理-公司诉讼
http://webapi.cninfo.com.cn/#/thematicStatistics
:param symbol: choice of {"全部", "深市主板", "沪市", "创业板", "科创板"}
:type symbol: str
:param start_date: 开始统计时间
:type start_date: str
:param end_date: 结束统计时间
:type end_date: str
:return: 对外担保
:rtype: pandas.DataFrame
"""
symbol_map = {
"全部": "",
"深市主板": "012002",
"沪市": "012001",
"创业板": "012015",
"科创板": "012029",
}
url = "http://webapi.cninfo.com.cn/api/sysapi/p_sysapi1055"
random_time_str = str(int(time.time()))
js_code = py_mini_racer.MiniRacer()
js_code.eval(js_str)
mcode = js_code.call("mcode", random_time_str)
headers = {
"Accept": "*/*",
"Accept-Encoding": "gzip, deflate",
"Accept-Language": "zh-CN,zh;q=0.9,en;q=0.8",
"Cache-Control": "no-cache",
"Content-Length": "0",
"Host": "webapi.cninfo.com.cn",
"mcode": mcode,
"Origin": "http://webapi.cninfo.com.cn",
"Pragma": "no-cache",
"Proxy-Connection": "keep-alive",
"Referer": "http://webapi.cninfo.com.cn/",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/93.0.4577.63 Safari/537.36",
"X-Requested-With": "XMLHttpRequest",
}
params = {
"sdate": "-".join([start_date[:4], start_date[4:6], start_date[6:]]),
"edate": "-".join([end_date[:4], end_date[4:6], end_date[6:]]),
"market": symbol_map[symbol],
}
r = requests.post(url, headers=headers, params=params)
data_json = r.json()
temp_df = pd.DataFrame(data_json["records"])
temp_df.columns = [
"公告统计区间",
"诉讼金额",
"诉讼次数",
"证券简称",
"证券代码",
]
temp_df = temp_df[
[
"证券代码",
"证券简称",
"公告统计区间",
"诉讼次数",
"诉讼金额",
]
]
temp_df["诉讼次数"] = pd.to_numeric(temp_df["诉讼次数"])
temp_df["诉讼金额"] = pd.to_numeric(temp_df["诉讼金额"])
return temp_df
if __name__ == "__main__":
stock_cg_lawsuit_cninfo_df = stock_cg_lawsuit_cninfo(
symbol="全部", start_date="20180928", end_date="20210927"
)
print(stock_cg_lawsuit_cninfo_df)