from PIL import Image, ImageDraw, ImageFilter

from utils.gradient import generate_gradient


def create_post_image(file, language):
    grad_image = generate_gradient(language)

    with Image.open(file) as window_image:
        window_image.load()

    new_size = (int(window_image.size[0] * 1.1), int(window_image.size[1] * 1.1))
    resized_image = grad_image.resize(new_size)
    print(resized_image.size)
    print(window_image.size)
    print(
        int((resized_image.size[0] - window_image.size[0]) / 2),
        int((resized_image.size[1] - window_image.size[1]) / 2),
    )
    # resized_image.paste(window_image, (100, 50))

    # Get dimensions of each image
    width1, height1 = resized_image.size
    width2, height2 = window_image.size

    # Find center pixel of outer image
    center_x, center_y = (width1 / 2), (height1 / 2)

    # Offset inner image to align its center
    im2_x = int(center_x - (width2 / 2))
    im2_y = int(center_y - (height2 / 2))

    # Make mask
    mask = Image.new("L", window_image.size, 0)
    draw = ImageDraw.Draw(mask)
    draw.rectangle([5, 5, window_image.width - 5, window_image.height - 5], fill=255)
    mask_blur = mask.filter(ImageFilter.GaussianBlur(2))
    im = Image.composite(window_image, resized_image, mask_blur)

    # Paste inner image over outer image
    back_im = resized_image.copy()
    back_im.paste(window_image, (im2_x, im2_y), mask=mask_blur)

    return back_im