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
117 lines
3.1 KiB
Python
117 lines
3.1 KiB
Python
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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"""
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Date: 2024/10/14 22:00
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Desc: 巨潮资讯-个股-公司概况
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https://webapi.cninfo.com.cn/#/company
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"""
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import pandas as pd
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import py_mini_racer
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import requests
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from akshare.datasets import get_ths_js
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def _get_file_content_ths(file: str = "cninfo.js") -> str:
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"""
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获取 JS 文件的内容
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:param file: JS 文件名
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:type file: str
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:return: 文件内容
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:rtype: str
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"""
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setting_file_path = get_ths_js(file)
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with open(setting_file_path, encoding="utf-8") as f:
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file_data = f.read()
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return file_data
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def stock_profile_cninfo(symbol: str = "600030") -> pd.DataFrame:
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"""
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巨潮资讯-个股-公司概况
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https://webapi.cninfo.com.cn/#/company
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:param symbol: 股票代码
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:type symbol: str
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:return: 公司概况
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:rtype: pandas.DataFrame
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:raise: Exception，如果服务器返回的数据无法被解析
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"""
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url = "https://webapi.cninfo.com.cn/api/sysapi/p_sysapi1133"
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params = {
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"scode": symbol,
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}
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js_code = py_mini_racer.MiniRacer()
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js_content = _get_file_content_ths("cninfo.js")
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js_code.eval(js_content)
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mcode = js_code.call("getResCode1")
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headers = {
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"Accept": "*/*",
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"Accept-Encoding": "gzip, deflate",
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"Accept-Language": "zh-CN,zh;q=0.9,en;q=0.8",
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"Cache-Control": "no-cache",
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"Content-Length": "0",
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"Host": "webapi.cninfo.com.cn",
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"Accept-Enckey": mcode,
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"Origin": "https://webapi.cninfo.com.cn",
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"Pragma": "no-cache",
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"Proxy-Connection": "keep-alive",
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"Referer": "https://webapi.cninfo.com.cn/",
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"X-Requested-With": "XMLHttpRequest",
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}
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r = requests.post(url, params=params, headers=headers)
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data_json = r.json()
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columns = [
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"公司名称",
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"英文名称",
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"曾用简称",
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"A股代码",
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"A股简称",
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"B股代码",
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"B股简称",
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"H股代码",
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"H股简称",
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"入选指数",
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"所属市场",
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"所属行业",
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"法人代表",
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"注册资金",
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"成立日期",
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"上市日期",
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"官方网站",
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"电子邮箱",
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"联系电话",
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"传真",
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"注册地址",
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"办公地址",
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"邮政编码",
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"主营业务",
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"经营范围",
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"机构简介",
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]
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count = data_json["count"]
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if count == 1:
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# 有公司概况的
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redundant_json = data_json["records"][0]
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records_json = {}
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i = 0
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for k, v in redundant_json.items():
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if i == (len(redundant_json) - 4):
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break
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records_json[k] = v
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i += 1
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del i
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temp_df = pd.Series(records_json).to_frame().T
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temp_df.columns = columns
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elif count == 0:
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# 没公司概况的
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temp_df = pd.DataFrame(columns=columns)
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else:
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raise Exception("数据错误！")
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return temp_df
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if __name__ == "__main__":
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stock_profile_cninfo_df = stock_profile_cninfo(symbol="600030")
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print(stock_profile_cninfo_df)
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