from PIL import Image
import io
import numpy as np


def resize_image_to_kb(input_image: np.ndarray, output_image_path, target_size_kb):
    """
    Resize an image to a target size in KB.
    将图像调整大小至目标文件大小（KB）。

    :param input_image_path: Path to the input image. 输入图像的路径。
    :param output_image_path: Path to save the resized image. 保存调整大小后的图像的路径。
    :param target_size_kb: Target size in KB. 目标文件大小（KB）。

    Example:
    resize_image_to_kb('input_image.jpg', 'output_image.jpg', 50)
    """

    # Open an image file
    with Image.fromarray(input_image) as img:
        # Convert image to RGB mode if it's not
        if img.mode != "RGB":
            img = img.convert("RGB")

        # Initial quality value
        quality = 95

        while True:
            # Create a BytesIO object to hold the image data in memory
            img_byte_arr = io.BytesIO()

            # Save the image to the BytesIO object with the current quality
            img.save(img_byte_arr, format="JPEG", quality=quality)

            # Get the size of the image in KB
            img_size_kb = len(img_byte_arr.getvalue()) / 1024

            # Check if the image size is within the target size
            if img_size_kb <= target_size_kb:
                # If the image is smaller than the target size, add padding
                if img_size_kb < target_size_kb:
                    padding_size = int(
                        (target_size_kb * 1024) - len(img_byte_arr.getvalue())
                    )
                    padding = b"\x00" * padding_size
                    img_byte_arr.write(padding)

                # Save the image to the output path
                with open(output_image_path, "wb") as f:
                    f.write(img_byte_arr.getvalue())
                break

            # Reduce the quality if the image is still too large
            quality -= 5

            # Ensure quality does not go below 1
            if quality < 1:
                quality = 1