import os
import sys
import folder_paths
import numpy as np
import re
import cv2

sys.path.insert(0, os.path.join(os.path.dirname(os.path.realpath(__file__)), "comfy"))


class SaveImageARGB16PNG:
    def __init__(self):
        self.cv2 = cv2

        self.output_dir = folder_paths.get_output_directory()
        self.type = "output"
        self.prefix_append = ""

    @classmethod
    def INPUT_TYPES(s):
        return {
            "required": {
                "images": ("IMAGE", {"tooltip": "The images to save."}),
                "filename_prefix": ("STRING", {"default": "ComfyUI_EXR", "tooltip": "The prefix for the file to save. This may include formatting information such as %date:yyyy-MM-dd% or %Empty Latent Image.width% to include values from nodes."})
            },
            "hidden": {
                "prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"
            },
        }

    RETURN_TYPES = ()
    FUNCTION = "save_images_exr"

    OUTPUT_NODE = True

    CATEGORY = "image"
    DESCRIPTION = "Saves the input images as EXR files in your ComfyUI output directory."

    def save_images_exr(self, images, filename_prefix="ComfyUI_EXR", prompt=None, extra_pnginfo=None):
        from io import BytesIO
        from PIL import Image
        filename_prefix += self.prefix_append
        full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(
            filename_prefix, self.output_dir, images[0].shape[1], images[0].shape[0]
        )
        results = list()

        def file_counter():
            max_counter = 0
            for existing_file in os.listdir(full_output_folder):
                match = re.fullmatch(f"{filename}_(\d+)_?\.[a-zA-Z0-9]+", existing_file)
                if match:
                    file_counter = int(match.group(1))
                    if file_counter > max_counter:
                        max_counter = file_counter
            return max_counter

        for (batch_number, image) in enumerate(images):
            image_np = image.cpu().numpy()
            image_np = image_np.astype(np.float32)

            counter = file_counter() + 1
            filename_with_batch_num = filename.replace("%batch_num%", str(batch_number))
            file = f"{filename_with_batch_num}_{counter:05}.png"

            # Convert image to RGBA16 PNG and save using OpenCV
            image_rgba16 = (image_np * 65535).astype('uint16')
            rgba_image = self.cv2.merge((
                image_rgba16[:, :, 0],
                image_rgba16[:, :, 1],
                image_rgba16[:, :, 2],
                (image_rgba16[:, :, 0] * 0).astype('uint16') + 65535
            ))  # Add alpha channel with max value
            self.cv2.imwrite(os.path.join(full_output_folder, file), rgba_image)

            results.append({
                "filename": file,
                "subfolder": subfolder,
                "type": self.type
            })
            counter += 1

        return { "ui": { "images": results } }


NODE_CLASS_MAPPINGS = {
    "SaveImageARGB16PNG": SaveImageARGB16PNG
}

NODE_DISPLAY_NAME_MAPPINGS = {
    "SaveImageARGB16PNG": "Save Image RGBA 16 PNG",
}