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EMWebApi/utils/fin_equity.py

57 lines
1.7 KiB

"""东方财富 CHOICE API 股本结构抓取工具。
- 输入: 股票代码列表 (如 ['603233.SH'])
- 输出: pandas DataFrame (按报告期末的股本结构, 全量历史)
- 不需要登录, 不需要 cookie, 无文件落盘
"""
from __future__ import annotations
import pandas as pd
from utils._emchoice import fetch_report
_REPORT_NAME = "RPT_F10_EH_EQUITY"
_COLUMNS = "CHOICE_F9_EH_EQUITY"
def _build_params(secucode: str, end_date: str) -> dict[str, str]:
"""构造 RPT_F10_EH_EQUITY 查询参数."""
return {
"source": "CHOICE",
"reportName": _REPORT_NAME,
"columns": _COLUMNS,
"quoteColumns": "",
"pageNumber": "1",
"pageSize": "",
"sortColumns": "END_DATE",
"client": "SW",
"filter": f'(SECUCODE="{secucode}")(LISTING_DATE>=\'1900-01-01\')(LISTING_DATE<=\'{end_date}\')',
"sortTypes": "-1",
}
def _fetch_one(secucode: str) -> pd.DataFrame:
"""拉一只股票的股本结构 (全量历史)."""
end_date = pd.Timestamp.today().strftime("%Y-%m-%d")
rows = fetch_report(_build_params(secucode, end_date))
df = pd.DataFrame(rows)
if not df.empty:
df["SECUCODE"] = secucode
return df
def get_equity(secucodes: list[str]) -> pd.DataFrame:
"""抓取指定股票的股本结构(全量历史)并按股票合并。"""
codes = [code.strip() for code in secucodes if code.strip()]
if not codes:
return pd.DataFrame()
frames: list[pd.DataFrame] = []
for code in codes:
df = _fetch_one(code)
if not df.empty:
frames.append(df)
if not frames:
return pd.DataFrame()
return pd.concat(frames, ignore_index=True)