import json import os from pathlib import Path from concurrent.futures import ThreadPoolExecutor def convert_medical_json(input_file, output_file, config=None): """医疗数据格式转换器(扁平化输出版本)""" default_config = { "task_type": "Visual_Question_Answering", "source": "OmniMedVQA" } cfg = {**default_config, **(config or {})} try: with open(input_file, 'r', encoding='utf-8') as f: raw_data = json.load(f) converted = [] for index, item in enumerate(raw_data if isinstance(raw_data, list) else [raw_data]): # 重构媒体路径 img_path = item['image_path'].split('Images/', 1)[-1] media_path = f"./{cfg['source']}/{img_path}" # 构建选项结构 options = [] for opt_id in ['A', 'B', 'C', 'D']: if text := item.get(f'option_{opt_id}', ''): options.append({"id": opt_id, "text": text.strip()}) # 匹配正确答案 gt_answer = str(item['gt_answer']).strip() correct_ids = [opt['id'] for opt in options if opt['text'] == gt_answer] converted.append({ "index": index, "media_type": "image", "media_paths": media_path, "description": "", "task_type": cfg['task_type'], "question": [item['question']], "question_type": "multi-choice", "options": options, "annotations": [], "answer": correct_ids, "source": cfg['source'], "domain": "Biomedical" }) with open(output_file, 'w', encoding='utf-8') as f: json.dump(converted, f, indent=2, ensure_ascii=False) return True except Exception as e: print(f"转换失败: {input_file} → {str(e)}") return False def process_single_file(input_path, output_dir, config): """单个文件处理函数(扁平化输出)""" try: # 生成输出路径:输出目录 + 原文件名 output_file = output_dir / input_path.name return convert_medical_json( input_file=str(input_path), output_file=str(output_file), config=config ) except Exception as e: print(f"文件处理异常: {input_path} → {str(e)}") return False def batch_convert_json(input_dir, output_dir, config=None, max_workers=8): """扁平化批量处理器""" input_path = Path(input_dir) output_path = Path(output_dir) # 创建输出目录(只需创建一次) output_path.mkdir(parents=True, exist_ok=True) if not input_path.exists(): raise FileNotFoundError(f"输入目录不存在: {input_dir}") success_count = 0 failure_count = 0 with ThreadPoolExecutor(max_workers=max_workers) as executor: futures = [] # 遍历所有JSON文件(忽略目录结构) for root, _, files in os.walk(input_dir): for filename in files: if filename.lower().endswith('.json'): input_file = Path(root) / filename futures.append( executor.submit( process_single_file, input_path=input_file, output_dir=output_path, config=config ) ) # 统计处理结果 for future in futures: if future.result(): success_count += 1 else: failure_count += 1 print(f"\n处理完成: 成功 {success_count} 个文件,失败 {failure_count} 个文件") print(f"输出目录: {output_path.resolve()}") if __name__ == "__main__": custom_config = { "source": "OmniMedVQA", "task_type": "Visual_Question_Answering" } try: batch_convert_json( input_dir="/mnt/data/users/zys/proj/vlm_reasoning/unprocessed_data/biomedical/medvqa/OmniMedVQA/QA_information", output_dir="/mnt/data/users/zys/proj/vlm_reasoning/unprocessed_data/biomedical/medvqa", config=custom_config, max_workers=min(os.cpu_count() * 2, 32) ) except Exception as e: print(f"批量处理异常终止: {str(e)}")