import os
import tempfile
from pathlib import Path
import base64
from PIL import Image
import io
import shutil

def save_uploaded_file(file_obj, extension=".jpg"):
    """
    Save uploaded file to temporary location
    
    Args:
        file_obj: File object or PIL Image
        extension (str): File extension
    
    Returns:
        str: Path to saved file
    """
    try:
        temp_dir = tempfile.mkdtemp()
        
        if isinstance(file_obj, Image.Image):
            # PIL Image
            temp_path = os.path.join(temp_dir, f"upload{extension}")
            file_obj.save(temp_path)
        elif hasattr(file_obj, 'name'):
            # File-like object
            temp_path = os.path.join(temp_dir, f"upload{extension}")
            shutil.copy2(file_obj.name, temp_path)
        else:
            # Assume it's a base64 string or bytes
            temp_path = os.path.join(temp_dir, f"upload{extension}")
            if isinstance(file_obj, str):
                # Base64 string
                if ',' in file_obj:
                    file_data = base64.b64decode(file_obj.split(',')[1])
                else:
                    file_data = base64.b64decode(file_obj)
                
                with open(temp_path, 'wb') as f:
                    f.write(file_data)
            elif isinstance(file_obj, bytes):
                with open(temp_path, 'wb') as f:
                    f.write(file_obj)
        
        return temp_path
        
    except Exception as e:
        print(f"Error saving file: {e}")
        return None

def cleanup_temp_files(file_paths):
    """
    Clean up temporary files
    
    Args:
        file_paths (list): List of file paths to clean up
    """
    for file_path in file_paths:
        try:
            if os.path.exists(file_path):
                if os.path.isfile(file_path):
                    os.remove(file_path)
                elif os.path.isdir(file_path):
                    shutil.rmtree(file_path)
        except Exception as e:
            print(f"Error cleaning up {file_path}: {e}")

def image_to_base64(image, format='JPEG', quality=85):
    """
    Convert PIL Image to base64 string
    
    Args:
        image (PIL.Image): Input image
        format (str): Output format
        quality (int): Compression quality
    
    Returns:
        str: Base64 encoded image string
    """
    buffer = io.BytesIO()
    image.save(buffer, format=format, quality=quality)
    image_data = buffer.getvalue()
    return base64.b64encode(image_data).decode()

def base64_to_image(base64_string):
    """
    Convert base64 string to PIL Image
    
    Args:
        base64_string (str): Base64 encoded image string
    
    Returns:
        PIL.Image: Decoded image
    """
    try:
        if ',' in base64_string:
            base64_string = base64_string.split(',')[1]
        
        image_data = base64.b64decode(base64_string)
        image = Image.open(io.BytesIO(image_data))
        return image
    except Exception as e:
        print(f"Error decoding base64 image: {e}")
        return None

def create_video_preview(video_path, num_frames=4):
    """
    Create preview frames from video
    
    Args:
        video_path (str): Path to video file
        num_frames (int): Number of preview frames
    
    Returns:
        list: List of PIL Images
    """
    try:
        import cv2
        
        cap = cv2.VideoCapture(video_path)
        total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
        fps = cap.get(cv2.CAP_PROP_FPS)
        
        if total_frames == 0:
            return []
        
        # Select frames evenly distributed across the video
        frame_indices = np.linspace(0, total_frames-1, num_frames, dtype=int)
        
        frames = []
        for frame_idx in frame_indices:
            cap.set(cv2.CAP_PROP_POS_FRAMES, frame_idx)
            ret, frame = cap.read()
            if ret:
                frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
                frames.append(Image.fromarray(frame_rgb))
        
        cap.release()
        return frames
        
    except Exception as e:
        print(f"Error creating video preview: {e}")
        return []

def validate_video_file(file_path):
    """
    Validate that the file is a valid video
    
    Args:
        file_path (str): Path to video file
    
    Returns:
        bool: True if valid video file
    """
    try:
        import cv2
        cap = cv2.VideoCapture(file_path)
        ret = cap.isOpened()
        cap.release()
        return ret
    except:
        return False

def validate_image_file(file_path):
    """
    Validate that the file is a valid image
    
    Args:
        file_path (str): Path to image file
    
    Returns:
        bool: True if valid image file
    """
    try:
        from PIL import Image
        with Image.open(file_path) as img:
            img.verify()
        return True
    except:
        return False