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useful_code / dataset_code /move_bad_pt_mp4.py

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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()

	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()