import json import math import os import threading from concurrent.futures import ThreadPoolExecutor, as_completed from PIL import Image from tqdm import tqdm import torchaudio from vita.config import * from vita.config import AudioFolder, FolderDict from vita.config.dataset_config import * # 定义文件路径 output_file_path = "lost_file_name.txt" dur_thre1 = 30 dur_thre2 = 0.5 # 将所有字典放入一个列表中 # datasets = NLP + HumanCentric + VideoQA + NaturalQA +VideoCap + OCRCap + NaturalCap # datasets = NaturalCap + VideoCap + OCRCap + NaturalQA + VideoQA + HumanCentric + [TextSFT] datasets = NaturalCap + VideoCap datasets = OCRCap + NaturalQA datasets = VideoQA + HumanCentric + [TextSFT] datasets = [TextSFT] # 初始化一个列表来存储丢失的文件名 lost_files = [] lock = threading.Lock() def get_wav_duration(file_path): waveform, sample_rate = torchaudio.load(file_path) duration = waveform.size(1) / sample_rate return duration def check_audio(audio_file_name, audio_directory): audio_file_path = os.path.join(audio_directory, "audio", audio_file_name) if not os.path.exists(audio_file_path): print(f"{audio_file_path} lost!!!!!!!!") return audio_file_name else: try: duration = get_wav_duration(audio_file_path) if duration > dur_thre1 or duration < dur_thre2: print(f"{audio_file_path} duration {duration}, too long!!!!!!!") return audio_file_name except Exception as e: print(f"{audio_file_path} is broken!!!!!!!!") return audio_file_name return None # 遍历每个字典 for dataset in datasets: keys = list(dataset.keys()) json_file_path = dataset["chat_path"] print(json_file_path) # 读取JSON文件 with open(json_file_path, "r", encoding="utf-8") as f: data = json.load(f) # 遍历每条数据,使用tqdm显示进度条 with ThreadPoolExecutor(max_workers=10) as executor: futures = [] for item in data: audio_files = item.get("audio") audio_directory = AudioFolder # 如果 audio_files 是字符串,将其转换为列表 if isinstance(audio_files, str): audio_files = [audio_files] # 如果 audio_files 是列表,处理每个文件 if isinstance(audio_files, list): for audio_file_name in audio_files: futures.append(executor.submit(check_audio, audio_file_name, audio_directory)) for future in tqdm( as_completed(futures), total=len(futures), desc="Processing", unit="file" ): result = future.result() if result: with lock: lost_files.append(result) # 将丢失的文件名写入到lost_file_name.txt中 with open(output_file_path, "w", encoding="utf-8") as f: for file_name in lost_files: f.write(file_name + "\n") print(f"检查完成,共有 {len(lost_files)} 个文件丢失或无法读取,结果已保存到 {output_file_path}")