csv_to_json_converter.py

import csv
import json
import os
from typing import List, Dict, Any

def csv_to_json(csv_file_path: str, output_json_path: str) -> None:
    """
    将CSV格式的数据集转换为JSON格式用于训练
    
    Args:
        csv_file_path: CSV文件路径
        output_json_path: 输出JSON文件路径
    """
    
    data = []
    
    with open(csv_file_path, 'r', encoding='utf-8') as csvfile:
        reader = csv.DictReader(csvfile)
        
        for row in reader:
            # 构建JSON结构
            json_item = {
                "id": row["id"],
                "prompt_en": row["prompt_en"],
                "image_path": row["path"],
                "persons": [
                    {
                        "person_id": 1,
                        "demographics": row["person1_person"],
                        "clothing": {
                            "upper_clothing": row["person1_upper_clothing"],
                            "upper_clothing_color": row["person1_upper_clothing_color"],
                            "lower_body": row["person1_lower_body"],
                            "lower_body_color": row["person1_lower_body_color"]
                        },
                        "accessory": row["person1_accessory"],
                        "behavior": row["person1_person_behavior"]
                    },
                    {
                        "person_id": 2,
                        "demographics": row["person2_person"],
                        "clothing": {
                            "upper_clothing": row["person2_upper_clothing"],
                            "upper_clothing_color": row["person2_upper_clothing_color"],
                            "lower_body": row["person2_lower_body"],
                            "lower_body_color": row["person2_lower_body_color"]
                        },
                        "accessory": row["person2_accessory"],
                        "behavior": row["person2_person_behavior"]
                    }
                ]
            }
            
            data.append(json_item)
    
    # 保存为JSON文件
    with open(output_json_path, 'w', encoding='utf-8') as jsonfile:
        json.dump(data, jsonfile, ensure_ascii=False, indent=2)
    
    print(f"转换完成！共处理 {len(data)} 条数据")
    print(f"JSON文件已保存至: {output_json_path}")

def create_training_format(csv_file_path: str, output_json_path: str) -> None:
    """
    创建适合机器学习训练的简化JSON格式
    
    Args:
        csv_file_path: CSV文件路径
        output_json_path: 输出JSON文件路径
    """
    
    training_data = []
    
    with open(csv_file_path, 'r', encoding='utf-8') as csvfile:
        reader = csv.DictReader(csvfile)
        
        for row in reader:
            # 简化的训练格式
            training_item = {
                "image_id": row["id"],
                "text": row["prompt_en"],
                "image_path": row["path"],
                "labels": {
                    "person1": {
                        "demographics": row["person1_person"],
                        "upper_clothing": row["person1_upper_clothing"],
                        "upper_color": row["person1_upper_clothing_color"],
                        "lower_clothing": row["person1_lower_body"],
                        "lower_color": row["person1_lower_body_color"],
                        "accessory": row["person1_accessory"],
                        "behavior": row["person1_person_behavior"]
                    },
                    "person2": {
                        "demographics": row["person2_person"],
                        "upper_clothing": row["person2_upper_clothing"],
                        "upper_color": row["person2_upper_clothing_color"],
                        "lower_clothing": row["person2_lower_body"],
                        "lower_color": row["person2_lower_body_color"],
                        "accessory": row["person2_accessory"],
                        "behavior": row["person2_person_behavior"]
                    }
                }
            }
            
            training_data.append(training_item)
    
    # 保存训练格式的JSON
    with open(output_json_path, 'w', encoding='utf-8') as jsonfile:
        json.dump(training_data, jsonfile, ensure_ascii=False, indent=2)
    
    print(f"训练格式转换完成！共处理 {len(training_data)} 条数据")
    print(f"训练JSON文件已保存至: {output_json_path}")

def main():
    # 设置文件路径
    csv_file = "/Volumes/XAI测试用1号机/Cabin_behavior_dataset/pair_5000_prompts_with_details.csv"
    
    # 检查CSV文件是否存在
    if not os.path.exists(csv_file):
        print(f"错误：找不到CSV文件 {csv_file}")
        return
    
    # 转换为详细JSON格式
    detailed_json = "/Volumes/XAI测试用1号机/Cabin_behavior_dataset/dataset_detailed.json"
    csv_to_json(csv_file, detailed_json)
    
    # 转换为训练JSON格式
    training_json = "/Volumes/XAI测试用1号机/Cabin_behavior_dataset/dataset_training.json"
    create_training_format(csv_file, training_json)
    
    print("\n转换完成！生成了两个JSON文件：")
    print(f"1. 详细格式: {detailed_json}")
    print(f"2. 训练格式: {training_json}")

if __name__ == "__main__":
    main()