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
312 lines
11 KiB
Python
312 lines
11 KiB
Python
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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"""
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Date: 2025/9/11 13:00
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Desc: 东方财富-港股-公司概况
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https://emweb.securities.eastmoney.com/PC_HKF10/pages/home/index.html?code=03900&type=web&color=w#/CompanyProfile
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"""
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import pandas as pd
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import requests
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def stock_hk_security_profile_em(symbol: str = "03900") -> pd.DataFrame:
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"""
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东方财富-港股-证券资料
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https://emweb.securities.eastmoney.com/PC_HKF10/pages/home/index.html?code=03900&type=web&color=w#/CompanyProfile
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:param symbol: 股票代码
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:type symbol: str
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:return: 证券资料
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:rtype: pandas.DataFrame
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"""
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url = "https://datacenter.eastmoney.com/securities/api/data/v1/get"
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params = {
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"reportName": "RPT_HKF10_INFO_SECURITYINFO",
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"columns": "SECUCODE,SECURITY_CODE,SECURITY_NAME_ABBR,SECURITY_TYPE,LISTING_DATE,ISIN_CODE,BOARD,"
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"TRADE_UNIT,TRADE_MARKET,GANGGUTONGBIAODISHEN,GANGGUTONGBIAODIHU,PAR_VALUE,"
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"ISSUE_PRICE,ISSUE_NUM,YEAR_SETTLE_DAY",
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"quoteColumns": "",
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"filter": f'(SECUCODE="{symbol}.HK")',
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"pageNumber": "1",
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"pageSize": "200",
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"sortTypes": "",
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"sortColumns": "",
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"source": "F10",
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"client": "PC",
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"v": "04748497219912483",
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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["result"]["data"])
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field_mapping = {
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"BOARD": "板块",
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"GANGGUTONGBIAODIHU": "是否沪港通标的",
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"GANGGUTONGBIAODISHEN": "是否深港通标的",
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"ISIN_CODE": "ISIN（国际证券识别编码）",
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"ISSUE_NUM": "发行量(股)",
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"ISSUE_PRICE": "发行价",
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"LISTING_DATE": "上市日期",
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"PAR_VALUE": "每股面值",
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"SECUCODE": "证券代码",
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"SECURITY_NAME_ABBR": "证券简称",
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"SECURITY_TYPE": "证券类型",
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"TRADE_MARKET": "交易所",
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"TRADE_UNIT": "每手股数",
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"YEAR_SETTLE_DAY": "年结日",
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}
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temp_df.rename(columns=field_mapping, inplace=True)
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temp_df = temp_df[
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[
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"证券代码",
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"证券简称",
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"上市日期",
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"证券类型",
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"发行价",
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"发行量(股)",
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"每手股数",
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"每股面值",
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"交易所",
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"板块",
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"年结日",
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"ISIN（国际证券识别编码）",
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"是否沪港通标的",
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"是否深港通标的",
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]
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]
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return temp_df
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def stock_hk_company_profile_em(symbol: str = "03900") -> pd.DataFrame:
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"""
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东方财富-港股-公司资料
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https://emweb.securities.eastmoney.com/PC_HKF10/pages/home/index.html?code=03900&type=web&color=w#/CompanyProfile
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:param symbol: 股票代码
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:type symbol: str
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:return: 公司资料
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:rtype: pandas.DataFrame
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"""
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url = "https://datacenter.eastmoney.com/securities/api/data/v1/get"
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params = {
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"reportName": "RPT_HKF10_INFO_ORGPROFILE",
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"columns": "SECUCODE,SECURITY_CODE,ORG_NAME,ORG_EN_ABBR,BELONG_INDUSTRY,FOUND_DATE,CHAIRMAN,"
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"SECRETARY,ACCOUNT_FIRM,REG_ADDRESS,ADDRESS,YEAR_SETTLE_DAY,EMP_NUM,ORG_TEL,ORG_FAX,ORG_EMAIL,"
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"ORG_WEB,ORG_PROFILE,REG_PLACE",
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"quoteColumns": "",
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"filter": f'(SECUCODE="{symbol}.HK")',
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"pageNumber": "1",
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"pageSize": "200",
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"sortTypes": "",
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"sortColumns": "",
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"source": "F10",
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"client": "PC",
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"v": "04748497219912483",
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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["result"]["data"])
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field_mapping = {
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"ACCOUNT_FIRM": "核数师",
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"ADDRESS": "办公地址",
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"BELONG_INDUSTRY": "所属行业",
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"CHAIRMAN": "董事长",
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"EMP_NUM": "员工人数",
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"FOUND_DATE": "公司成立日期",
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"ORG_EMAIL": "E-MAIL",
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"ORG_EN_ABBR": "英文名称",
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"ORG_FAX": "传真",
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"ORG_NAME": "公司名称",
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"ORG_PROFILE": "公司介绍",
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"ORG_TEL": "联系电话",
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"ORG_WEB": "公司网址",
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"REG_ADDRESS": "注册地址",
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"REG_PLACE": "注册地",
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"SECRETARY": "公司秘书",
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"SECUCODE": "股票代码",
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"SECURITY_CODE": "证券代码",
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"YEAR_SETTLE_DAY": "年结日",
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}
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temp_df.rename(columns=field_mapping, inplace=True)
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temp_df = temp_df[
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[
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"公司名称",
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"英文名称",
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"注册地",
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"注册地址",
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"公司成立日期",
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"所属行业",
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"董事长",
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"公司秘书",
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"员工人数",
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"办公地址",
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"公司网址",
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"E-MAIL",
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"年结日",
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"联系电话",
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"核数师",
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"传真",
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"公司介绍",
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]
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]
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return temp_df
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def stock_hk_financial_indicator_em(symbol: str = "03900") -> pd.DataFrame:
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"""
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东方财富-港股-核心必读-最新指标
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https://emweb.securities.eastmoney.com/PC_HKF10/pages/home/index.html?code=03900&type=web&color=w#/CoreReading
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:param symbol: 股票代码
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:type symbol: str
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:return: 财务指标
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:rtype: pandas.DataFrame
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"""
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url = "https://datacenter.eastmoney.com/securities/api/data/v1/get"
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params = {
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"reportName": "RPT_CUSTOM_HKF10_FN_MAININDICATORMAX",
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"columns": "ORG_CODE,SECUCODE,SECURITY_CODE,SECURITY_NAME_ABBR,SECURITY_INNER_CODE,REPORT_DATE,BASIC_EPS,"
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"PER_NETCASH_OPERATE,BPS,BPS_NEDILUTED,COMMON_ACS,PER_SHARES,ISSUED_COMMON_SHARES,HK_COMMON_SHARES,"
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"TOTAL_MARKET_CAP,HKSK_MARKET_CAP,OPERATE_INCOME,OPERATE_INCOME_SQ,OPERATE_INCOME_QOQ,"
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"OPERATE_INCOME_QOQ_SQ,HOLDER_PROFIT,HOLDER_PROFIT_SQ,HOLDER_PROFIT_QOQ,HOLDER_PROFIT_QOQ_SQ,PE_TTM,"
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"PE_TTM_SQ,PB_TTM,PB_TTM_SQ,NET_PROFIT_RATIO,NET_PROFIT_RATIO_SQ,ROE_AVG,ROE_AVG_SQ,ROA,"
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"ROA_SQ,DIVIDEND_TTM,DIVIDEND_LFY,DIVI_RATIO,DIVIDEND_RATE,IS_CNY_CODE",
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"quoteColumns": "",
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"filter": f'(SECUCODE="{symbol}.HK")',
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"pageNumber": "1",
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"pageSize": "200",
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"sortTypes": "-1",
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"sortColumns": "REPORT_DATE",
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"source": "F10",
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"client": "PC",
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"v": "07945646099062258",
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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["result"]["data"])
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field_mapping = {
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"SECURITY_CODE": "股票代码",
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"BASIC_EPS": "基本每股收益(元)",
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"BPS": "每股净资产(元)",
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"COMMON_ACS": "法定股本(股)",
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"PER_SHARES": "每手股",
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"DIVIDEND_TTM": "每股股息TTM(港元)",
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"DIVI_RATIO": "派息比率(%)",
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"ISSUED_COMMON_SHARES": "已发行股本(股)",
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"HK_COMMON_SHARES": "已发行股本-H股(股)",
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"PER_NETCASH_OPERATE": "每股经营现金流(元)",
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"DIVIDEND_RATE": "股息率TTM(%)",
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"TOTAL_MARKET_CAP": "总市值(港元)",
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"HKSK_MARKET_CAP": "港股市值(港元)",
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"OPERATE_INCOME": "营业总收入",
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"OPERATE_INCOME_QOQ": "营业总收入滚动环比增长(%)",
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"NET_PROFIT_RATIO": "销售净利率(%)",
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"HOLDER_PROFIT": "净利润",
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"HOLDER_PROFIT_QOQ": "净利润滚动环比增长(%)",
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"ROE_AVG": "股东权益回报率(%)",
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"PE_TTM": "市盈率",
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"PB_TTM": "市净率",
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"ROA": "总资产回报率(%)",
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}
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temp_df.rename(columns=field_mapping, inplace=True)
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temp_df = temp_df[
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[
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"基本每股收益(元)",
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"每股净资产(元)",
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"法定股本(股)",
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"每手股",
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"每股股息TTM(港元)",
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"派息比率(%)",
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"已发行股本(股)",
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"已发行股本-H股(股)",
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"每股经营现金流(元)",
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"股息率TTM(%)",
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"总市值(港元)",
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"港股市值(港元)",
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"营业总收入",
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"营业总收入滚动环比增长(%)",
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"销售净利率(%)",
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"净利润",
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"净利润滚动环比增长(%)",
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"股东权益回报率(%)",
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"市盈率",
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"市净率",
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"总资产回报率(%)",
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]
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]
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return temp_df
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def stock_hk_dividend_payout_em(symbol: str = "03900") -> pd.DataFrame:
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"""
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东方财富-港股-核心必读-分红派息
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https://emweb.securities.eastmoney.com/PC_HKF10/pages/home/index.html?code=03900&type=web&color=w#/CoreReading
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:param symbol: 股票代码
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:type symbol: str
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:return: 分红派息
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:rtype: pandas.DataFrame
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"""
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url = "https://datacenter.eastmoney.com/securities/api/data/v1/get"
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params = {
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"reportName": "RPT_HKF10_MAIN_DIVBASIC",
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"columns": "SECURITY_CODE,UPDATE_DATE,REPORT_TYPE,EX_DIVIDEND_DATE,DIVIDEND_DATE,"
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"TRANSFER_END_DATE,YEAR,PLAN_EXPLAIN,IS_BFP",
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"quoteColumns": "",
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"filter": f'(SECURITY_CODE="{symbol}")(IS_BFP="0")',
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"pageNumber": "1",
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"pageSize": "200",
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"sortTypes": "-1,-1",
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"sortColumns": "NOTICE_DATE,EX_DIVIDEND_DATE",
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"source": "F10",
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"client": "PC",
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"v": "035584639294227527",
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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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field_mapping = {
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"SECURITY_CODE": "股票代码",
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"UPDATE_DATE": "最新公告日期",
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"REPORT_TYPE": "分配类型",
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"EX_DIVIDEND_DATE": "除净日",
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"DIVIDEND_DATE": "发放日",
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"TRANSFER_END_DATE": "截至过户日",
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"YEAR": "财政年度",
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"PLAN_EXPLAIN": "分红方案",
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"IS_BFP": "IS_BFP",
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}
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columns = [
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"最新公告日期",
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"财政年度",
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"分红方案",
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"分配类型",
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"除净日",
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"截至过户日",
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"发放日",
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]
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temp_df = pd.DataFrame(columns=columns)
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if data_json["result"] is not None:
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temp_df = pd.DataFrame(data_json["result"]["data"])
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temp_df.rename(columns=field_mapping, inplace=True)
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temp_df = temp_df[columns]
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temp_df["最新公告日期"] = pd.to_datetime(
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temp_df["最新公告日期"], errors="coerce"
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).dt.date
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temp_df["除净日"] = pd.to_datetime(temp_df["除净日"], errors="coerce").dt.date
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temp_df["发放日"] = pd.to_datetime(
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temp_df["发放日"], format="%Y/%m/%d", errors="coerce"
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).dt.date
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return temp_df
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if __name__ == "__main__":
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stock_hk_security_profile_em_df = stock_hk_security_profile_em(symbol="03900")
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print(stock_hk_security_profile_em_df)
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stock_hk_company_profile_em_df = stock_hk_company_profile_em(symbol="03900")
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print(stock_hk_company_profile_em_df)
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stock_hk_financial_indicator_em_df = stock_hk_financial_indicator_em(symbol="03900")
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print(stock_hk_financial_indicator_em_df)
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stock_hk_dividend_payout_em_df = stock_hk_dividend_payout_em(symbol="03900")
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print(stock_hk_dividend_payout_em_df)
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