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70 lines
2.0 KiB
70 lines
2.0 KiB
"""东方财富 CHOICE API 营运能力抓取工具。
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- 输入: 股票代码列表 (如 ['603233.SH'])
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- 输出: pandas DataFrame (按报告期的营运能力指标)
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- 不需要登录, 不需要 cookie, 无文件落盘
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"""
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from __future__ import annotations
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import pandas as pd
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from utils._emchoice import fetch_report
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_REPORT_NAME = "RPT_HSF9_FINA_OPERATEABILITY"
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_COLUMNS = "OPERATEABILITY"
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# 报告期: 1=一季报, 3=三季报, 5=中报, 6=年报
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_REPORT_PERIOD_CODES = "1,5,3,6,7"
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def _build_params(
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secucode: str,
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start_date: str,
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end_date: str,
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) -> dict[str, str]:
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"""构造 RPT_HSF9_FINA_OPERATEABILITY 查询参数."""
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return {
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"reportName": _REPORT_NAME,
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"columns": _COLUMNS,
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"quoteColumns": "",
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"filter": (
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f'(SECUCODE="{secucode}")'
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f"((REPORT_DATE>='{start_date}')(REPORT_DATE<='{end_date}')"
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f"(STR_MONTH in({_REPORT_PERIOD_CODES}))(|IS_NEWEST=\"1\") )"
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),
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"pageNumber": "",
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"pageSize": "",
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"sortTypes": "-1",
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"sortColumns": "REPORT_DATE",
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"source": "CHOICE",
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"client": "SW",
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}
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def _fetch_one(secucode: str, years: int) -> pd.DataFrame:
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"""拉一只股票的营运能力指标."""
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today = pd.Timestamp.today()
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start = (today - pd.DateOffset(years=years)).strftime("%Y-%m-%d")
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end = today.strftime("%Y-%m-%d")
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rows = fetch_report(_build_params(secucode, start, end))
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df = pd.DataFrame(rows)
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if not df.empty:
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df["SECUCODE"] = secucode
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return df
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def get_operate_ability(secucodes: list[str], years: int = 3) -> pd.DataFrame:
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"""抓取指定股票的营运能力指标并按股票合并。"""
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codes = [code.strip() for code in secucodes if code.strip()]
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if not codes:
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return pd.DataFrame()
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frames: list[pd.DataFrame] = []
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for code in codes:
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df = _fetch_one(code, years)
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if not df.empty:
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frames.append(df)
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if not frames:
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return pd.DataFrame()
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return pd.concat(frames, ignore_index=True)
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