#!/usr/bin/env python
# -*- coding:utf-8 -*-
"""
Date: 2024/7/22 17:30
Desc: 申万宏源研究-行业分类
http://www.swhyresearch.com/institute_sw/allIndex/downloadCenter/industryType
"""

import io

import pandas as pd
import requests

from akshare.utils.cons import headers


def stock_industry_clf_hist_sw() -> pd.DataFrame:
    """
    申万宏源研究-行业分类-全部行业分类
    https://www.swsresearch.com/swindex/pdf/SwClass2021/StockClassifyUse_stock.xls
    :return: 个股行业分类变动历史
    :rtype: pandas.DataFrame
    """
    url = "https://www.swsresearch.com/swindex/pdf/SwClass2021/StockClassifyUse_stock.xls"  # 此处为 https
    r = requests.get(url, headers=headers)
    temp_df = pd.read_excel(
        io.BytesIO(r.content), dtype={"股票代码": "str", "行业代码": "str"}
    )
    temp_df.rename(
        columns={
            "股票代码": "symbol",
            "计入日期": "start_date",
            "行业代码": "industry_code",
            "更新日期": "update_time",
        },
        inplace=True,
    )
    temp_df["start_date"] = pd.to_datetime(
        temp_df["start_date"], errors="coerce"
    ).dt.date
    temp_df["update_time"] = pd.to_datetime(
        temp_df["update_time"], errors="coerce"
    ).dt.date
    return temp_df


if __name__ == "__main__":
    stock_industry_clf_hist_sw_df = stock_industry_clf_hist_sw()
    print(stock_industry_clf_hist_sw_df)