from PIL import Image, ImageFilter, ImageOps


def get_crop_region(mask, pad=0):
    """
    finds a rectangular region that contains all masked ares in an image.
    Returns (x1, y1, x2, y2) coordinates of the rectangle.
    For example, if a user has painted the top-right part of a 512x512 image, the result may be (256, 0, 512, 256)
    """
    mask_img = mask if isinstance(mask, Image.Image) else Image.fromarray(mask)
    box = mask_img.getbbox()
    if box:
        x1, y1, x2, y2 = box
    else:
        x1, y1 = mask_img.size
        x2 = y2 = 0
    return max(x1 - pad, 0), max(y1 - pad, 0), min(x2 + pad, mask_img.size[0]), min(y2 + pad, mask_img.size[1])


def expand_crop_region(crop_region, processing_width, processing_height, image_width, image_height):
    """
    expands crop region get_crop_region() to match the ratio of the image the region will processed in; returns expanded region.
    eg. If user drew mask in a 128x32 region, and the dimensions for processing are 512x512, the region will be expanded to 128x128.
    """

    x1, y1, x2, y2 = crop_region

    ratio_crop_region = (x2 - x1) / (y2 - y1)
    ratio_processing = processing_width / processing_height

    if ratio_crop_region > ratio_processing:
        desired_height = (x2 - x1) / ratio_processing
        desired_height_diff = int(desired_height - (y2 - y1))
        y1 -= desired_height_diff // 2
        y2 += desired_height_diff - desired_height_diff // 2
        if y2 >= image_height:
            diff = y2 - image_height
            y2 -= diff
            y1 -= diff
        if y1 < 0:
            y2 -= y1
            y1 -= y1
        if y2 >= image_height:
            y2 = image_height
    else:
        desired_width = (y2 - y1) * ratio_processing
        desired_width_diff = int(desired_width - (x2 - x1))
        x1 -= desired_width_diff // 2
        x2 += desired_width_diff - desired_width_diff // 2
        if x2 >= image_width:
            diff = x2 - image_width
            x2 -= diff
            x1 -= diff
        if x1 < 0:
            x2 -= x1
            x1 -= x1
        if x2 >= image_width:
            x2 = image_width

    return x1, y1, x2, y2


def fill(image, mask):
    """fills masked regions with colors from image using blur. Not extremely effective"""

    image_mod = Image.new("RGBA", (image.width, image.height))

    image_masked = Image.new("RGBa", (image.width, image.height))
    image_masked.paste(image.convert("RGBA").convert("RGBa"), mask=ImageOps.invert(mask.convert("L")))

    image_masked = image_masked.convert("RGBa")

    for radius, repeats in [(256, 1), (64, 1), (16, 2), (4, 4), (2, 2), (0, 1)]:
        blurred = image_masked.filter(ImageFilter.GaussianBlur(radius)).convert("RGBA")
        for _ in range(repeats):
            image_mod.alpha_composite(blurred)

    return image_mod.convert("RGB")