Minimize images for web: resize to max width and convert to webp

convert.py

from PIL import Image
import os

def add_transparent_border(img: Image.Image) -> Image.Image:
    border_size = 50
    new_size = (img.width + 2 * border_size, img.height + 2 * border_size)
    new_img = Image.new('RGBA', new_size)
    new_img.paste(img, (border_size, border_size))
    return new_img

def add_background(img: Image.Image) -> Image.Image:
    bg_color = (28, 28, 28)
    if img.mode != 'RGBA':
        img = img.convert('RGBA')
    background = Image.new('RGBA', img.size, bg_color + (255,))
    combined = Image.alpha_composite(background, img)
    return combined.convert('RGB')

def resize_image(img: Image.Image, max_width: int) -> Image.Image:
    if img.width > max_width:
        scale_ratio = max_width / img.width
        new_height = int(img.height * scale_ratio)
        img = img.resize((max_width, new_height), Image.LANCZOS)
    return img

def convert_to_webp(img: Image.Image, output_path: str) -> None:
    img.save(output_path, 'WEBP')

def print_image_stats(name: str, before_size: int, after_size: int, before_dims: tuple, after_dims: tuple) -> None:
    before_size_mb = before_size / (1024 * 1024)
    after_size_mb = after_size / (1024 * 1024)
    pixel_reduction = int((after_dims[0] * after_dims[1]) / (before_dims[0] * before_dims[1]) * 100)
    print(f'\n{name}')
    print(f'Before: {before_dims[0]}x{before_dims[1]}, {before_size_mb:.2f} MB')
    print(f'After: {after_dims[0]}x{after_dims[1]}, {after_size_mb:.2f} MB')
    print(f'Size reduction: {100 - pixel_reduction}%')

def process_image(img_path: str, directory: str, max_width: int) -> None:
    before_size = os.path.getsize(img_path)
    with Image.open(img_path) as img:
        before_dims = img.size
        img = add_transparent_border(img)
        img = add_background(img)
        img = resize_image(img, max_width)
        after_dims = img.size
        output_path = img_path.rsplit('.', 1)[0] + '.webp'
        convert_to_webp(img, output_path)
        after_size = os.path.getsize(output_path)
        print_image_stats(img_path, before_size, after_size, before_dims, after_dims)
        os.remove(img_path)

def resize_and_convert_directory(directory: str, max_width: int) -> None:
    total_before_size = 0
    total_after_size = 0
    num_images = 0

    for filename in os.listdir(directory):
        if filename.lower().endswith(('.png', '.jpg', '.jpeg')):
            num_images += 1
            img_path = os.path.join(directory, filename)
            before_size = os.path.getsize(img_path)
            total_before_size += before_size
            process_image(img_path, directory, max_width)
            new_filename = filename.rsplit('.', 1)[0] + '.webp'
            new_path = os.path.join(directory, new_filename)
            after_size = os.path.getsize(new_path)
            total_after_size += after_size

    if num_images > 0:
        avg_reduction = int((total_after_size / total_before_size) * 100)
        total_before_mb = total_before_size / (1024 * 1024)
        total_after_mb = total_after_size / (1024 * 1024)
        print(f'\n--------------\nTotal Before: {total_before_mb:.2f} MB, Total After: {total_after_mb:.2f} MB')
        print(f'Average Size Reduction: {100 - avg_reduction}%')
        print(f'Total Images Processed: {num_images}')

def adapt_bg_directory(directory: str) -> None:
    for filename in os.listdir(directory):
        if filename.lower().endswith(('.png', '.jpg', '.jpeg', '.webp')):
            img_path = os.path.join(directory, filename)
            with Image.open(img_path) as img:
                img = add_transparent_border(img)
                img = add_background(img)
                img.save(img_path)

if __name__ == '__main__':
    resize_and_convert_directory('public/images/articles/welcome-to-majordom', 1010)