如何从CSV文件中读取给定文件结构的嵌套字典？

import csv
import json

def read_nested_dict_from_csv(csv_file):
    nested_dict = {}  # 存储嵌套字典的数据

    with open(csv_file, 'r') as file:
        reader = csv.reader(file)
        next(reader)  # 跳过表头行

        for row in reader:
            current_dict = nested_dict  # 当前嵌套字典

            # 根据文件结构的字段顺序，逐级构建嵌套字典
            for i, field in enumerate(row):
                if field not in current_dict:
                    if i == len(row) - 1:
                        current_dict[field] = {}
                    else:
                        current_dict[field] = {}
                current_dict = current_dict[field]

    return nested_dict

# 示例用法
csv_file = 'data.csv'
nested_dict = read_nested_dict_from_csv(csv_file)
print(json.dumps(nested_dict, indent=4))