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
195 lines
6.2 KiB
Python
195 lines
6.2 KiB
Python
# -*- coding:utf-8 -*-
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# !/usr/bin/env python
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"""
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Date: 2026/4/8 16:00
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Desc: 东方财富网-数据中心-公告大全-沪深 A 股公告
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https://data.eastmoney.com/notices/hsa/5.html
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"""
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import math
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import pandas as pd
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import requests
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from akshare.utils.tqdm import get_tqdm
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def _stock_notice_report(
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security: str = None,
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symbol: str = "全部",
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begin_date: str = None,
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end_date: str = None,
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) -> pd.DataFrame:
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"""
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东方财富网-数据中心-公告大全-沪深京 A 股公告
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https://data.eastmoney.com/notices/hsa/5.html
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:param security: 报告类型; choice of {"全部", "重大事项", "财务报告", "融资公告", "风险提示", "资产重组", "信息变更", "持股变动"}
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:type security: str
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:param symbol: 报告类型; choice of {"全部", "重大事项", "财务报告", "融资公告", "风险提示", "资产重组", "信息变更", "持股变动"}
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:type symbol: str
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:param begin_date: 制定日期
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:type begin_date: str
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:param end_date: 制定日期
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:type end_date: str
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:return: 沪深京 A 股公告
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:rtype: pandas.DataFrame
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"""
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url = "https://np-anotice-stock.eastmoney.com/api/security/ann"
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report_map = {
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"全部": "0",
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"财务报告": "1",
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"融资公告": "2",
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"风险提示": "3",
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"信息变更": "4",
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"重大事项": "5",
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"资产重组": "6",
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"持股变动": "7",
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}
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params = {
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"sr": "-1",
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"page_size": "100",
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"page_index": "1",
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"ann_type": "A",
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"client_source": "web",
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"f_node": report_map[symbol],
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"s_node": "0",
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}
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if security:
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params["stock_list"] = security
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if begin_date:
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params["begin_time"] = begin_date
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if end_date:
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params["end_time"] = end_date
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r = requests.get(url, params=params)
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data_json = r.json()
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total_page = math.ceil(data_json["data"]["total_hits"] / 100)
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big_df = pd.DataFrame()
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tqdm = get_tqdm()
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for page in tqdm(range(1, int(total_page) + 1), leave=False):
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params.update(
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{
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"page_index": page,
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}
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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"]["list"])
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temp_code_list = []
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for item in data_json["data"]["list"]:
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if len(item["codes"]) == 1:
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temp_code_list.append(item["codes"][0])
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else:
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for code in item["codes"]:
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if code["ann_type"].startswith("A"):
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temp_code_list.append(code)
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break
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temp_codes_df = pd.DataFrame(temp_code_list)
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try:
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temp_columns_df = pd.DataFrame(
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[item["columns"][0] for item in data_json["data"]["list"]]
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)
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except: # noqa: E722
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continue
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del temp_df["codes"]
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del temp_df["columns"]
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temp_df = pd.concat(objs=[temp_df, temp_columns_df, temp_codes_df], axis=1)
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big_df = pd.concat(objs=[big_df, temp_df], ignore_index=True)
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big_df.rename(
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columns={
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"art_code": "编码",
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"display_time": "-",
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"eiTime": "-",
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"notice_date": "公告日期",
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"title": "公告标题",
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"column_code": "-",
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"column_name": "公告类型",
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"ann_type": "-",
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"inner_code": "-",
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"market_code": "-",
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"short_name": "名称",
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"stock_code": "代码",
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},
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inplace=True,
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)
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url = "https://data.eastmoney.com/notices/detail/"
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big_df["网址"] = url + big_df["代码"] + "/" + big_df["编码"] + ".html"
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big_df = big_df[
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[
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"代码",
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"名称",
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"公告标题",
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"公告类型",
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"公告日期",
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"网址",
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]
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]
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big_df["公告日期"] = pd.to_datetime(big_df["公告日期"], errors="coerce").dt.date
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return big_df
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def stock_notice_report(symbol: str = "全部", date: str = "20220511") -> pd.DataFrame:
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"""
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东方财富网-数据中心-公告大全-沪深京 A 股公告
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https://data.eastmoney.com/notices/hsa/5.html
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:param symbol: 报告类型; choice of {"全部", "重大事项", "财务报告", "融资公告", "风险提示", "资产重组", "信息变更", "持股变动"}
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:type symbol: str
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:param date: 制定日期
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:type date: str
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:return: 沪深京 A 股公告
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:rtype: pandas.DataFrame
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"""
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return _stock_notice_report(
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symbol=symbol,
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begin_date="-".join([date[:4], date[4:6], date[6:]]),
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end_date="-".join([date[:4], date[4:6], date[6:]]),
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)
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def stock_individual_notice_report(
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security: str, symbol: str = "全部", begin_date: str = None, end_date: str = None
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) -> pd.DataFrame:
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"""
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东方财富网-数据中心-公告大全-个股
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https://data.eastmoney.com/notices/stock/300237.html
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:param security: 股票代码
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:type security: str
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:param symbol: 报告类型; choice of {"全部", "重大事项", "财务报告", "融资公告", "风险提示", "资产重组", "信息变更", "持股变动"}
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:type symbol: str
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:param begin_date: 开始日期
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:type begin_date: str
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:param end_date: 结束日期
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:type end_date: str
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:return: 个股公告
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:rtype: pandas.DataFrame
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"""
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return _stock_notice_report(
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security=security, symbol=symbol, begin_date=begin_date, end_date=end_date
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)
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if __name__ == "__main__":
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stock_individual_notice_report_df = stock_individual_notice_report(
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security="300237", symbol="财务报告", begin_date="20250101", end_date="20260101"
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)
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print(stock_individual_notice_report_df)
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stock_notice_report_df = stock_notice_report(symbol="财务报告", date="20240612")
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print(stock_notice_report_df)
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item_list = [
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"全部",
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"财务报告",
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"融资公告",
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"风险提示",
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"信息变更",
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"重大事项",
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"资产重组",
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"持股变动",
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]
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for temp_item in item_list:
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stock_notice_report_df = stock_notice_report(symbol=temp_item, date="20220511")
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print(stock_notice_report_df)
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