"""东方财富 CHOICE API 公司介绍 + 所属行业抓取工具。
- 输入: 股票代码列表 (如 ['603233.SH'])
- 输出: pandas DataFrame (公司基本资料 / 所属行业)
- 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


def _fetch_one(secucode: str, params: dict[str, str]) -> pd.DataFrame:
    """按给定参数拉一只股票的数据."""
    rows = fetch_report(params)
    df = pd.DataFrame(rows)
    if not df.empty:
        df["SECUCODE"] = secucode
    return df


def _concat(frames: list[pd.DataFrame]) -> pd.DataFrame:
    if not frames:
        return pd.DataFrame()
    return pd.concat(frames, ignore_index=True)


# ---------------------------------------------------------------- 公司介绍

def _build_company_params(secucode: str) -> dict[str, str]:
    """构造 RPT_HSF9_BASIC_ORGINFO 查询参数 (公司基本资料)."""
    return {
        "source": "CHOICE",
        "reportName": "RPT_HSF9_BASIC_ORGINFO",
        "columns": "HSF9_ORGINFO",
        "quoteColumns": "",
        "filter": f'(SECUCODE="{secucode}")',
        "pageNumber": "1",
        "pageSize": "200",
        "client": "SW",
    }


def get_company_info(secucodes: list[str]) -> pd.DataFrame:
    """抓取指定股票的公司介绍 (基本资料, 每只 1 行)."""
    codes = [code.strip() for code in secucodes if code.strip()]
    if not codes:
        return pd.DataFrame()

    frames = [_fetch_one(code, _build_company_params(code)) for code in codes]
    return _concat([df for df in frames if not df.empty])


# ---------------------------------------------------------------- 所属行业

def _build_industry_params(secucode: str) -> dict[str, str]:
    """构造 RPT_STOCKF9_INDUSTRY 查询参数 (当前生效的行业分类)."""
    return {
        "reportName": "RPT_STOCKF9_INDUSTRY",
        "columns": (
            "SECUCODE,SECURITY_CODE,SECURITY_NAME_ABBR,INDUSTRY_TYPE_CODE,"
            "INDUSTRY_TYPE,INDUSTRY_NAME,INDUSTRY_CODE,SECURITY_INNER_CODE,"
            "INDUSTRY_NAME_MIN,INDUSTRY_CODE_MIN,ENTRY_DATE,OUT_DATE,"
            "SECURITY_TYPE_CODE,STATE,STATE_CODE,RN"
        ),
        "quoteColumns": "",
        "filter": f'(SECUCODE="{secucode}")(STATE_CODE="1")',
        "pageNumber": "",
        "pageSize": "",
        "sortTypes": "1",
        "sortColumns": "RN",
        "source": "CHOICE",
        "client": "SW",
    }


def get_industry(secucodes: list[str]) -> pd.DataFrame:
    """抓取指定股票的所属行业 (当前生效分类)."""
    codes = [code.strip() for code in secucodes if code.strip()]
    if not codes:
        return pd.DataFrame()

    frames = [_fetch_one(code, _build_industry_params(code)) for code in codes]
    return _concat([df for df in frames if not df.empty])