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import os
import shutil
import torch
import cv2
from pathlib import Path
import logging
from tqdm import tqdm
import concurrent.futures
from threading import Lock
import time
class FileChecker:
def __init__(self, source_dir, corrupted_dir, max_workers=32):
self.source_dir = Path(source_dir)
self.corrupted_dir = Path(corrupted_dir)
self.max_workers = max_workers
self.lock = Lock()
# 统计信息
self.stats = {
'total_pt': 0,
'total_mp4': 0,
'corrupted_pt': 0,
'corrupted_mp4': 0,
'moved_files': [],
'failed_moves': []
}
self.setup_logging()
def setup_logging(self):
"""设置日志记录"""
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(levelname)s - %(message)s',
handlers=[
logging.FileHandler('file_check.log'),
logging.StreamHandler()
]
)
self.logger = logging.getLogger(__name__)
def check_pt_file(self, file_path):
"""检查.pt文件是否损坏"""
try:
# 尝试加载torch文件
data = torch.load(file_path, map_location='cpu')
# 额外检查：确保数据不为空
if data is None:
return False
return True
except Exception as e:
return False
def check_mp4_file(self, file_path):
"""检查.mp4文件是否损坏"""
try:
# 尝试打开视频文件
cap = cv2.VideoCapture(str(file_path))
if not cap.isOpened():
return False
# 检查视频属性
frame_count = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
fps = cap.get(cv2.CAP_PROP_FPS)
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
# 基本属性检查
if frame_count <= 0 or fps <= 0 or width <= 0 or height <= 0:
cap.release()
return False
# 尝试读取几帧来验证
frames_to_check = min(3, frame_count)
for i in range(frames_to_check):
ret, frame = cap.read()
if not ret or frame is None:
cap.release()
return False
cap.release()
return True
except Exception as e:
return False
def move_corrupted_file(self, file_path, file_type):
"""移动损坏的文件"""
try:
# 保持原有的目录结构
relative_path = file_path.relative_to(self.source_dir)
new_path = self.corrupted_dir / relative_path
new_path.parent.mkdir(parents=True, exist_ok=True)
# 移动文件
shutil.move(str(file_path), str(new_path))
with self.lock:
self.stats['moved_files'].append(str(file_path))
if file_type == 'pt':
self.stats['corrupted_pt'] += 1
else:
self.stats['corrupted_mp4'] += 1
self.logger.info(f"已移动损坏文件: {file_path} -> {new_path}")
return True
except Exception as e:
with self.lock:
self.stats['failed_moves'].append(str(file_path))
self.logger.error(f"移动文件失败 {file_path}: {e}")
return False
def process_pt_file(self, file_path):
"""处理单个.pt文件"""
with self.lock:
self.stats['total_pt'] += 1
if not self.check_pt_file(file_path):
self.logger.warning(f"发现损坏的 .pt 文件: {file_path}")
return self.move_corrupted_file(file_path, 'pt')
return True
def process_mp4_file(self, file_path):
"""处理单个.mp4文件"""
with self.lock:
self.stats['total_mp4'] += 1
if not self.check_mp4_file(file_path):
self.logger.warning(f"发现损坏的 .mp4 文件: {file_path}")
return self.move_corrupted_file(file_path, 'mp4')
return True
def process_files(self):
"""多线程处理文件"""
# 创建损坏文件存储目录
self.corrupted_dir.mkdir(parents=True, exist_ok=True)
# 收集所有目标文件
pt_files = list(self.source_dir.rglob('*.pt'))
# mp4_files = list(self.source_dir.rglob('*.mp4'))
self.logger.info(f"找到 {len(pt_files)} 个 .pt 文件")
# self.logger.info(f"找到 {len(mp4_files)} 个 .mp4 文件")
self.logger.info(f"使用 {self.max_workers} 个线程进行处理")
start_time = time.time()
# 处理.pt文件
if pt_files:
self.logger.info("开始多线程检查 .pt 文件...")
with concurrent.futures.ThreadPoolExecutor(max_workers=self.max_workers) as executor:
# 提交所有任务
future_to_file = {executor.submit(self.process_pt_file, file_path): file_path
for file_path in pt_files}
# 使用tqdm显示进度
for future in tqdm(concurrent.futures.as_completed(future_to_file),
total=len(pt_files), desc="检查 .pt 文件"):
file_path = future_to_file[future]
try:
future.result()
except Exception as e:
self.logger.error(f"处理文件 {file_path} 时出错: {e}")
# # 处理.mp4文件
# if mp4_files:
# self.logger.info("开始多线程检查 .mp4 文件...")
# with concurrent.futures.ThreadPoolExecutor(max_workers=self.max_workers) as executor:
# # 提交所有任务
# future_to_file = {executor.submit(self.process_mp4_file, file_path): file_path
# for file_path in mp4_files}
# # 使用tqdm显示进度
# for future in tqdm(concurrent.futures.as_completed(future_to_file),
# total=len(mp4_files), desc="检查 .mp4 文件"):
# file_path = future_to_file[future]
# try:
# future.result()
# except Exception as e:
# self.logger.error(f"处理文件 {file_path} 时出错: {e}")
end_time = time.time()
processing_time = end_time - start_time
# 输出统计结果
self.print_statistics(processing_time)
return self.stats
def print_statistics(self, processing_time):
"""输出统计结果"""
self.logger.info("=" * 60)
self.logger.info("检查完成！统计结果:")
self.logger.info(f"处理时间: {processing_time:.2f} 秒")
self.logger.info(f"使用线程数: {self.max_workers}")
self.logger.info(f"总 .pt 文件数: {self.stats['total_pt']}")
self.logger.info(f"损坏 .pt 文件数: {self.stats['corrupted_pt']}")
self.logger.info(f"总 .mp4 文件数: {self.stats['total_mp4']}")
self.logger.info(f"损坏 .mp4 文件数: {self.stats['corrupted_mp4']}")
self.logger.info(f"成功移动文件数: {len(self.stats['moved_files'])}")
self.logger.info(f"移动失败文件数: {len(self.stats['failed_moves'])}")
if self.stats['total_pt'] + self.stats['total_mp4'] > 0:
total_files = self.stats['total_pt'] + self.stats['total_mp4']
files_per_second = total_files / processing_time
self.logger.info(f"平均处理速度: {files_per_second:.2f} 文件/秒")
self.logger.info("=" * 60)
def main():
# 配置参数
source_dir = "/mnt/bn/yufan-dev-my/ysh/Ckpts/Lixsp11/0_final_sekai_dataset"
corrupted_dir = "/mnt/bn/yufan-dev-my/ysh/Datasets/corrupted_files"
max_workers = 8
print(f"源目录: {source_dir}")
print(f"损坏文件将移动到: {corrupted_dir}")
print(f"并发线程数: {max_workers}")
print("=" * 50)
# 创建文件检查器并执行
checker = FileChecker(source_dir, corrupted_dir, max_workers)
stats = checker.process_files()
# 保存移动文件列表
if stats['moved_files']:
with open('moved_files_list.txt', 'w') as f:
for file_path in stats['moved_files']:
f.write(f"{file_path}\n")
print(f"已将移动的文件列表保存到 moved_files_list.txt")
# 保存失败文件列表
if stats['failed_moves']:
with open('failed_moves_list.txt', 'w') as f:
for file_path in stats['failed_moves']:
f.write(f"{file_path}\n")
print(f"已将移动失败的文件列表保存到 failed_moves_list.txt")
if __name__ == "__main__":
main()
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