"""
Utility functions for video processing.
"""

import os
from typing import List, Optional, Tuple, Union

try:
    from PIL import Image
    import numpy as np
except ImportError:
    raise ImportError(
        "Video processing utilities require Pillow and NumPy. "
        "Please install them with: pip install pillow numpy"
    )


def frames_to_video(
    frames: List[Union["Image.Image", np.ndarray]],
    output_path: str,
    fps: float = 24.0,
    codec: str = "libx264",
) -> str:
    """
    Convert a list of frames to a video file.
    
    Args:
        frames: List of PIL Images or numpy arrays
        output_path: Path to save the video
        fps: Frames per second
        codec: Video codec to use
        
    Returns:
        Path to the saved video
        
    Note:
        This is a placeholder function. In a real implementation,
        it would use a library like moviepy or OpenCV to create the video.
    """
    # This is a placeholder for the actual implementation
    print(f"Would save {len(frames)} frames as video to {output_path} at {fps} FPS")
    print("Video creation not yet implemented")
    return output_path


def video_to_frames(
    video_path: str, max_frames: Optional[int] = None, step: int = 1
) -> List["Image.Image"]:
    """
    Extract frames from a video file.
    
    Args:
        video_path: Path to the video file
        max_frames: Maximum number of frames to extract (None for all)
        step: Extract every nth frame
        
    Returns:
        List of PIL Image frames
        
    Note:
        This is a placeholder function. In a real implementation,
        it would use a library like moviepy or OpenCV to extract frames.
    """
    # This is a placeholder for the actual implementation
    if not os.path.exists(video_path):
        raise FileNotFoundError(f"Video file not found: {video_path}")
    
    print(f"Would extract frames from {video_path}")
    print("Frame extraction not yet implemented")
    
    # Return an empty list as a placeholder
    return []


def get_video_info(video_path: str) -> dict:
    """
    Get information about a video file.
    
    Args:
        video_path: Path to the video file
        
    Returns:
        Dictionary with video information
        
    Note:
        This is a placeholder function. In a real implementation,
        it would use a library like moviepy or OpenCV to get video metadata.
    """
    # This is a placeholder for the actual implementation
    if not os.path.exists(video_path):
        raise FileNotFoundError(f"Video file not found: {video_path}")
    
    # Return placeholder info
    return {
        "width": 1280,
        "height": 720,
        "fps": 30,
        "duration": 10.0,
        "codec": "h264",
    } 