import pandas as pd
import sys


def parse_holdings_correct(file_path):
    """修正版持仓解析器 - 支持.csv和.xls格式"""
    try:
        # 尝试检测文件类型并用相应方式读取
        if file_path.lower().endswith(".csv") or "\t" in open(file_path, "rb").read(
            100
        ).decode("utf-8", errors="ignore"):
            # 尝试作为CSV读取（制表符分隔）
            try:
                df = pd.read_csv(file_path, encoding="utf-8", sep="\t")
                print("成功以UTF-8制表符分隔方式读取")
            except:
                try:
                    df = pd.read_csv(file_path, encoding="gbk", sep="\t")
                    print("成功以GBK制表符分隔方式读取")
                except:
                    df = pd.read_csv(file_path, encoding="gb2312", sep="\t")
                    print("成功以GB2312制表符分隔方式读取")
        elif file_path.lower().endswith(".xls"):
            # 使用xlrd读取xls文件
            try:
                df = pd.read_excel(file_path, engine="xlrd", encoding="gbk")
                print("成功以.xls格式读取")
            except:
                # 尝试作为制表符分隔的文本文件读取
                df = pd.read_csv(file_path, sep="\t", encoding="gbk")
                print("成功以制表符分隔文本格式读取.xls文件")
        elif file_path.lower().endswith(".xlsx"):
            df = pd.read_excel(file_path, engine="openpyxl")
            print("成功以.xlsx格式读取")
        else:
            # 尝试作为普通CSV读取
            try:
                df = pd.read_csv(file_path, encoding="utf-8")
                print("成功以UTF-8 CSV格式读取")
            except:
                df = pd.read_csv(file_path, encoding="gbk")
                print("成功以GBK CSV格式读取")

        print(f"数据形状: {df.shape}")
        print("列名:")
        for i, col in enumerate(df.columns):
            print(f"  {i}: {col}")

        print("\n前5行数据:")
        print(df.head())

        return df

    except Exception as e:
        print(f"解析失败: {e}")
        return None


if __name__ == "__main__":
    if len(sys.argv) < 2:
        print("用法: python parse_holdings_correct.py <file_path>")
        sys.exit(1)

    file_path = sys.argv[1]
    parse_holdings_correct(file_path)