import pandas as pd
import numpy as np
import os
from tqdm import tqdm

def update_metadata_frames(metadata_path, features_root_path):
    """更新metadata文件中的实际帧数"""
    # 读取metadata
    metadata = pd.read_csv(metadata_path)
    
    print(f"Processing {len(metadata)} entries from {metadata_path}")
    
    # 更新每个文件的帧数
    actual_frames = []
    error_count = 0
    
    for idx, row in tqdm(metadata.iterrows(), total=len(metadata)):
        # 构建特征文件路径
        feature_path = os.path.join(features_root_path, row['path'])
        
        try:
            # 加载特征文件获取实际帧数
            features = np.load(feature_path, allow_pickle=True)
            actual_frames.append(features['visual'].shape[0])
        except Exception as e:
            print(f"Error loading {feature_path}: {e}")
            actual_frames.append(0)
            error_count += 1
    
    # 更新metadata中的帧数
    metadata['num_frames'] = actual_frames
    
    # 保存更新后的metadata
    metadata.to_csv(metadata_path, index=False)
    
    print(f"Updated {metadata_path} with actual frame counts")
    print(f"Errors: {error_count}, Success: {len(metadata) - error_count}")
    print(f"Frame count statistics: min={min(actual_frames)}, max={max(actual_frames)}, avg={np.mean(actual_frames):.1f}")

if __name__ == "__main__":
    features_root = '/apdcephfs_gy5/share_303628665/joyewu/research/AVH-Align/ft_work_features'
    
    # 更新训练集metadata
    update_metadata_frames(
        '/apdcephfs_gy5/share_303628665/joyewu/research/AVH-Align/ft_work_metadata/train_metadata.csv',
        os.path.join(features_root, 'train')
    )
    
    # 更新验证集metadata
    update_metadata_frames(
        '/apdcephfs_gy5/share_303628665/joyewu/research/AVH-Align/ft_work_metadata/val_metadata.csv',
        os.path.join(features_root, 'val')
    )