"""
Image processing helper functions for OmniParser
"""
import cv2
import numpy as np
from PIL import Image
from pathlib import Path
from typing import Tuple, List


def load_image(image_path: str) -> Image.Image:
    """Load image from file"""
    return Image.open(image_path)


def resize_image(image: Image.Image, max_size: Tuple[int, int] = (1920, 1080)) -> Image.Image:
    """Resize image to max dimensions while maintaining aspect ratio"""
    image.thumbnail(max_size, Image.Resampling.LANCZOS)
    return image


def capture_screenshot() -> Image.Image:
    """Capture screenshot (requires mss or similar)"""
    try:
        import mss
        with mss.mss() as sct:
            monitor = sct.monitors[1]  # Primary monitor
            screenshot = sct.grab(monitor)
            return Image.frombytes('RGB', screenshot.size, screenshot.rgb)
    except ImportError:
        print("⚠️  mss not installed. Install with: pip install mss")
        return None


def annotate_image(image: Image.Image, elements: List[dict]) -> Image.Image:
    """Draw bounding boxes on image for visualization"""
    img_copy = image.copy()
    from PIL import ImageDraw, ImageFont
    
    draw = ImageDraw.Draw(img_copy)
    
    colors = {
        "button": "red",
        "textfield": "blue",
        "icon": "green",
        "text": "yellow",
        "image": "purple"
    }
    
    for i, elem in enumerate(elements):
        bbox = elem.get("bbox", [])
        if len(bbox) >= 4:
            x1, y1, x2, y2 = bbox[:4]
            elem_type = elem.get("element_type", "unknown")
            color = colors.get(elem_type, "white")
            
            # Draw bounding box
            draw.rectangle([x1, y1, x2, y2], outline=color, width=2)
            
            # Draw label
            label = f"{elem.get('label', 'elem')} ({elem.get('confidence', 0):.2f})"
            draw.text((x1, y1 - 10), label, fill=color)
    
    return img_copy


def save_image(image: Image.Image, output_path: str):
    """Save image to file"""
    image.save(output_path)
    print(f"✅ Image saved: {output_path}")


def create_sample_screenshot() -> Image.Image:
    """Create a simple sample image for testing"""
    # Create a blank image with some shapes
    img = Image.new('RGB', (800, 600), color='white')
    from PIL import ImageDraw
    
    draw = ImageDraw.Draw(img)
    
    # Draw some sample UI elements
    # Button
    draw.rectangle([50, 50, 200, 100], fill='lightblue', outline='blue', width=2)
    draw.text((80, 65), "Click Me", fill='black')
    
    # Search box
    draw.rectangle([250, 50, 700, 100], fill='white', outline='gray', width=2)
    draw.text((260, 65), "Search...", fill='gray')
    
    # Menu items
    for i, text in enumerate(['Home', 'About', 'Contact']):
        y = 150 + i * 50
        draw.rectangle([50, y, 200, y + 40], fill='lightgray', outline='black', width=1)
        draw.text((70, y + 10), text, fill='black')
    
    # Status area
    draw.rectangle([250, 150, 700, 500], fill='lightyellow', outline='orange', width=2)
    draw.text((260, 160), "Status Area", fill='black')
    
    return img


if __name__ == "__main__":
    print("Image Processing Examples")
    print("=" * 60)
    
    # Create sample image
    print("📷 Creating sample screenshot...")
    sample_img = create_sample_screenshot()
    sample_img.save("sample_screenshot.png")
    print("✅ Sample saved as: sample_screenshot.png")
    
    # Resize example
    print("\n📐 Resizing image...")
    resized = resize_image(sample_img, (640, 480))
    print(f"✅ Resized to: {resized.size}")
    
    print("\n✅ All examples completed!")