from PIL import Image, ImageDraw, ImageFont
import os
from typing import Dict, Any
import cv2
import numpy as np

def add_watermark(image: Image.Image, watermark_text: str, opacity: float = 0.5) -> Image.Image:
    """
    Add a semi-transparent text watermark directly to a PIL Image.

    Args:
        image: PIL Image object to watermark
        watermark_text: Text to use as watermark
        opacity: Opacity of the watermark (0.1-1.0)

    Returns:
        PIL Image with watermark added
    """
    from PIL import ImageDraw, ImageFont

    overlay = Image.new('RGBA', image.size, (255, 255, 255, 0))
    draw = ImageDraw.Draw(overlay)

    try:
        font_size = min(image.width, image.height) // 20
        font = ImageFont.truetype("arial.ttf", font_size)
    except:
        font = ImageFont.load_default()

    bbox = draw.textbbox((0, 0), watermark_text, font=font)
    text_width = bbox[2] - bbox[0]
    text_height = bbox[3] - bbox[1]

    x = (image.width - text_width) // 2
    y = (image.height - text_height) // 2

    alpha_value = int(255 * opacity)
    text_color = (255, 255, 255, alpha_value)
    shadow_color = (0, 0, 0, int(alpha_value * 0.5))

    draw.text((x-2, y-2), watermark_text, fill=shadow_color, font=font)
    draw.text((x, y), watermark_text, fill=text_color, font=font)

    watermarked = Image.alpha_composite(image.convert('RGBA'), overlay)
    return watermarked.convert('RGB')

def remove_watermark(image_path: str, alpha: float = 2.0, beta: float = -160) -> Dict[str, Any]:
    """
    Attempt to remove watermarks from an image using contrast and brightness adjustment.
    
    Args:
        image_path: The path to the input image file.
        alpha: Contrast control (1.0-3.0, default 2.0). Higher values increase contrast.
        beta: Brightness control (-255 to 255, default -160). Negative values decrease brightness.
        
    Returns:
        A dictionary containing success status, file paths, and operation details.
        On success: success=True, input_path, output_path, output_size_bytes, alpha, beta, message.
        On failure: success=False, error message, input_path, output_path=None.
    """
    try:
        img = cv2.imread(image_path)
        
        if img is None:
            raise ValueError("Could not load image")
        
        new = alpha * img + beta
        new = np.clip(new, 0, 255).astype(np.uint8)
        
        base_dir = os.path.dirname(image_path)
        base_name, ext = os.path.splitext(os.path.basename(image_path))
        new_filename = f"{base_name}_cleaned{ext}"
        new_path = os.path.join(base_dir, new_filename)
        
        cv2.imwrite(new_path, new)
        output_size = os.path.getsize(new_path)
        
        return {
            "success": True,
            "message": "Watermark removal attempted successfully",
            "input_path": image_path,
            "output_path": new_path,
            "output_size_bytes": output_size,
            "alpha": alpha,
            "beta": beta
        }
        
    except Exception as e:
        return {
            "success": False,
            "error": str(e),
            "input_path": image_path,
            "output_path": None
        }