import datetime
import sys
import traceback

import pytz
import io
import math
import os
from collections import namedtuple
import re

import numpy as np
import piexif
import piexif.helper
from PIL import Image, ImageFont, ImageDraw, PngImagePlugin
from fonts.ttf import Roboto
import string
import json
import hashlib

from modules import sd_samplers, shared, script_callbacks, errors
from modules.shared import opts, cmd_opts


from pathlib import Path
from huggingface_hub import HfApi, login

LANCZOS = (Image.Resampling.LANCZOS if hasattr(Image, 'Resampling') else Image.LANCZOS)


def image_grid(imgs, batch_size=1, rows=None):
    if rows is None:
        if opts.n_rows > 0:
            rows = opts.n_rows
        elif opts.n_rows == 0:
            rows = batch_size
        elif opts.grid_prevent_empty_spots:
            rows = math.floor(math.sqrt(len(imgs)))
            while len(imgs) % rows != 0:
                rows -= 1
        else:
            rows = math.sqrt(len(imgs))
            rows = round(rows)
    if rows > len(imgs):
        rows = len(imgs)

    cols = math.ceil(len(imgs) / rows)

    params = script_callbacks.ImageGridLoopParams(imgs, cols, rows)
    script_callbacks.image_grid_callback(params)

    w, h = imgs[0].size
    grid = Image.new('RGB', size=(params.cols * w, params.rows * h), color='black')

    for i, img in enumerate(params.imgs):
        grid.paste(img, box=(i % params.cols * w, i // params.cols * h))

    return grid


Grid = namedtuple("Grid", ["tiles", "tile_w", "tile_h", "image_w", "image_h", "overlap"])


def split_grid(image, tile_w=512, tile_h=512, overlap=64):
    w = image.width
    h = image.height

    non_overlap_width = tile_w - overlap
    non_overlap_height = tile_h - overlap

    cols = math.ceil((w - overlap) / non_overlap_width)
    rows = math.ceil((h - overlap) / non_overlap_height)

    dx = (w - tile_w) / (cols - 1) if cols > 1 else 0
    dy = (h - tile_h) / (rows - 1) if rows > 1 else 0

    grid = Grid([], tile_w, tile_h, w, h, overlap)
    for row in range(rows):
        row_images = []

        y = int(row * dy)

        if y + tile_h >= h:
            y = h - tile_h

        for col in range(cols):
            x = int(col * dx)

            if x + tile_w >= w:
                x = w - tile_w

            tile = image.crop((x, y, x + tile_w, y + tile_h))

            row_images.append([x, tile_w, tile])

        grid.tiles.append([y, tile_h, row_images])

    return grid


def combine_grid(grid):
    def make_mask_image(r):
        r = r * 255 / grid.overlap
        r = r.astype(np.uint8)
        return Image.fromarray(r, 'L')

    mask_w = make_mask_image(np.arange(grid.overlap, dtype=np.float32).reshape((1, grid.overlap)).repeat(grid.tile_h, axis=0))
    mask_h = make_mask_image(np.arange(grid.overlap, dtype=np.float32).reshape((grid.overlap, 1)).repeat(grid.image_w, axis=1))

    combined_image = Image.new("RGB", (grid.image_w, grid.image_h))
    for y, h, row in grid.tiles:
        combined_row = Image.new("RGB", (grid.image_w, h))
        for x, w, tile in row:
            if x == 0:
                combined_row.paste(tile, (0, 0))
                continue

            combined_row.paste(tile.crop((0, 0, grid.overlap, h)), (x, 0), mask=mask_w)
            combined_row.paste(tile.crop((grid.overlap, 0, w, h)), (x + grid.overlap, 0))

        if y == 0:
            combined_image.paste(combined_row, (0, 0))
            continue

        combined_image.paste(combined_row.crop((0, 0, combined_row.width, grid.overlap)), (0, y), mask=mask_h)
        combined_image.paste(combined_row.crop((0, grid.overlap, combined_row.width, h)), (0, y + grid.overlap))

    return combined_image


class GridAnnotation:
    def __init__(self, text='', is_active=True):
        self.text = text
        self.is_active = is_active
        self.size = None


def draw_grid_annotations(im, width, height, hor_texts, ver_texts, margin=0):
    def wrap(drawing, text, font, line_length):
        lines = ['']
        for word in text.split():
            line = f'{lines[-1]} {word}'.strip()
            if drawing.textlength(line, font=font) <= line_length:
                lines[-1] = line
            else:
                lines.append(word)
        return lines

    def get_font(fontsize):
        try:
            return ImageFont.truetype(opts.font or Roboto, fontsize)
        except Exception:
            return ImageFont.truetype(Roboto, fontsize)

    def draw_texts(drawing, draw_x, draw_y, lines, initial_fnt, initial_fontsize):
        for i, line in enumerate(lines):
            fnt = initial_fnt
            fontsize = initial_fontsize
            while drawing.multiline_textsize(line.text, font=fnt)[0] > line.allowed_width and fontsize > 0:
                fontsize -= 1
                fnt = get_font(fontsize)
            drawing.multiline_text((draw_x, draw_y + line.size[1] / 2), line.text, font=fnt, fill=color_active if line.is_active else color_inactive, anchor="mm", align="center")

            if not line.is_active:
                drawing.line((draw_x - line.size[0] // 2, draw_y + line.size[1] // 2, draw_x + line.size[0] // 2, draw_y + line.size[1] // 2), fill=color_inactive, width=4)

            draw_y += line.size[1] + line_spacing

    fontsize = (width + height) // 25
    line_spacing = fontsize // 2

    fnt = get_font(fontsize)

    color_active = (0, 0, 0)
    color_inactive = (153, 153, 153)

    pad_left = 0 if sum([sum([len(line.text) for line in lines]) for lines in ver_texts]) == 0 else width * 3 // 4

    cols = im.width // width
    rows = im.height // height

    assert cols == len(hor_texts), f'bad number of horizontal texts: {len(hor_texts)}; must be {cols}'
    assert rows == len(ver_texts), f'bad number of vertical texts: {len(ver_texts)}; must be {rows}'

    calc_img = Image.new("RGB", (1, 1), "white")
    calc_d = ImageDraw.Draw(calc_img)

    for texts, allowed_width in zip(hor_texts + ver_texts, [width] * len(hor_texts) + [pad_left] * len(ver_texts)):
        items = [] + texts
        texts.clear()

        for line in items:
            wrapped = wrap(calc_d, line.text, fnt, allowed_width)
            texts += [GridAnnotation(x, line.is_active) for x in wrapped]

        for line in texts:
            bbox = calc_d.multiline_textbbox((0, 0), line.text, font=fnt)
            line.size = (bbox[2] - bbox[0], bbox[3] - bbox[1])
            line.allowed_width = allowed_width

    hor_text_heights = [sum([line.size[1] + line_spacing for line in lines]) - line_spacing for lines in hor_texts]
    ver_text_heights = [sum([line.size[1] + line_spacing for line in lines]) - line_spacing * len(lines) for lines in ver_texts]

    pad_top = 0 if sum(hor_text_heights) == 0 else max(hor_text_heights) + line_spacing * 2

    result = Image.new("RGB", (im.width + pad_left + margin * (cols-1), im.height + pad_top + margin * (rows-1)), "white")

    for row in range(rows):
        for col in range(cols):
            cell = im.crop((width * col, height * row, width * (col+1), height * (row+1)))
            result.paste(cell, (pad_left + (width + margin) * col, pad_top + (height + margin) * row))

    d = ImageDraw.Draw(result)

    for col in range(cols):
        x = pad_left + (width + margin) * col + width / 2
        y = pad_top / 2 - hor_text_heights[col] / 2

        draw_texts(d, x, y, hor_texts[col], fnt, fontsize)

    for row in range(rows):
        x = pad_left / 2
        y = pad_top + (height + margin) * row + height / 2 - ver_text_heights[row] / 2

        draw_texts(d, x, y, ver_texts[row], fnt, fontsize)

    return result


def draw_prompt_matrix(im, width, height, all_prompts, margin=0):
    prompts = all_prompts[1:]
    boundary = math.ceil(len(prompts) / 2)

    prompts_horiz = prompts[:boundary]
    prompts_vert = prompts[boundary:]

    hor_texts = [[GridAnnotation(x, is_active=pos & (1 << i) != 0) for i, x in enumerate(prompts_horiz)] for pos in range(1 << len(prompts_horiz))]
    ver_texts = [[GridAnnotation(x, is_active=pos & (1 << i) != 0) for i, x in enumerate(prompts_vert)] for pos in range(1 << len(prompts_vert))]

    return draw_grid_annotations(im, width, height, hor_texts, ver_texts, margin)


def resize_image(resize_mode, im, width, height, upscaler_name=None):
    """
    Resizes an image with the specified resize_mode, width, and height.

    Args:
        resize_mode: The mode to use when resizing the image.
            0: Resize the image to the specified width and height.
            1: Resize the image to fill the specified width and height, maintaining the aspect ratio, and then center the image within the dimensions, cropping the excess.
            2: Resize the image to fit within the specified width and height, maintaining the aspect ratio, and then center the image within the dimensions, filling empty with data from image.
        im: The image to resize.
        width: The width to resize the image to.
        height: The height to resize the image to.
        upscaler_name: The name of the upscaler to use. If not provided, defaults to opts.upscaler_for_img2img.
    """

    upscaler_name = upscaler_name or opts.upscaler_for_img2img

    def resize(im, w, h):
        if upscaler_name is None or upscaler_name == "None" or im.mode == 'L':
            return im.resize((w, h), resample=LANCZOS)

        scale = max(w / im.width, h / im.height)

        if scale > 1.0:
            upscalers = [x for x in shared.sd_upscalers if x.name == upscaler_name]
            if len(upscalers) == 0:
                upscaler = shared.sd_upscalers[0]
                print(f"could not find upscaler named {upscaler_name or '<empty string>'}, using {upscaler.name} as a fallback")
            else:
                upscaler = upscalers[0]

            im = upscaler.scaler.upscale(im, scale, upscaler.data_path)

        if im.width != w or im.height != h:
            im = im.resize((w, h), resample=LANCZOS)

        return im

    if resize_mode == 0:
        res = resize(im, width, height)

    elif resize_mode == 1:
        ratio = width / height
        src_ratio = im.width / im.height

        src_w = width if ratio > src_ratio else im.width * height // im.height
        src_h = height if ratio <= src_ratio else im.height * width // im.width

        resized = resize(im, src_w, src_h)
        res = Image.new("RGB", (width, height))
        res.paste(resized, box=(width // 2 - src_w // 2, height // 2 - src_h // 2))

    else:
        ratio = width / height
        src_ratio = im.width / im.height

        src_w = width if ratio < src_ratio else im.width * height // im.height
        src_h = height if ratio >= src_ratio else im.height * width // im.width

        resized = resize(im, src_w, src_h)
        res = Image.new("RGB", (width, height))
        res.paste(resized, box=(width // 2 - src_w // 2, height // 2 - src_h // 2))

        if ratio < src_ratio:
            fill_height = height // 2 - src_h // 2
            res.paste(resized.resize((width, fill_height), box=(0, 0, width, 0)), box=(0, 0))
            res.paste(resized.resize((width, fill_height), box=(0, resized.height, width, resized.height)), box=(0, fill_height + src_h))
        elif ratio > src_ratio:
            fill_width = width // 2 - src_w // 2
            res.paste(resized.resize((fill_width, height), box=(0, 0, 0, height)), box=(0, 0))
            res.paste(resized.resize((fill_width, height), box=(resized.width, 0, resized.width, height)), box=(fill_width + src_w, 0))

    return res


invalid_filename_chars = '<>:"/\\|?*\n'
invalid_filename_prefix = ' '
invalid_filename_postfix = ' .'
re_nonletters = re.compile(r'[\s' + string.punctuation + ']+')
re_pattern = re.compile(r"(.*?)(?:\[([^\[\]]+)\]|$)")
re_pattern_arg = re.compile(r"(.*)<([^>]*)>$")
max_filename_part_length = 128
NOTHING_AND_SKIP_PREVIOUS_TEXT = object()


def sanitize_filename_part(text, replace_spaces=True):
    if text is None:
        return None

    if replace_spaces:
        text = text.replace(' ', '_')

    text = text.translate({ord(x): '_' for x in invalid_filename_chars})
    text = text.lstrip(invalid_filename_prefix)[:max_filename_part_length]
    text = text.rstrip(invalid_filename_postfix)
    return text


class FilenameGenerator:
    replacements = {
        'seed': lambda self: self.seed if self.seed is not None else '',
        'steps': lambda self:  self.p and self.p.steps,
        'cfg': lambda self: self.p and self.p.cfg_scale,
        'width': lambda self: self.image.width,
        'height': lambda self: self.image.height,
        'styles': lambda self: self.p and sanitize_filename_part(", ".join([style for style in self.p.styles if not style == "None"]) or "None", replace_spaces=False),
        'sampler': lambda self: self.p and sanitize_filename_part(self.p.sampler_name, replace_spaces=False),
        'model_hash': lambda self: getattr(self.p, "sd_model_hash", shared.sd_model.sd_model_hash),
        'model_name': lambda self: sanitize_filename_part(shared.sd_model.sd_checkpoint_info.model_name, replace_spaces=False),
        'date': lambda self: datetime.datetime.now().strftime('%Y-%m-%d'),
        'datetime': lambda self, *args: self.datetime(*args),  # accepts formats: [datetime], [datetime<Format>], [datetime<Format><Time Zone>]
        'job_timestamp': lambda self: getattr(self.p, "job_timestamp", shared.state.job_timestamp),
        'prompt_hash': lambda self: hashlib.sha256(self.prompt.encode()).hexdigest()[0:8],
        'prompt': lambda self: sanitize_filename_part(self.prompt),
        'prompt_no_styles': lambda self: self.prompt_no_style(),
        'prompt_spaces': lambda self: sanitize_filename_part(self.prompt, replace_spaces=False),
        'prompt_words': lambda self: self.prompt_words(),
        'batch_number': lambda self: NOTHING_AND_SKIP_PREVIOUS_TEXT if self.p.batch_size == 1 else self.p.batch_index + 1,
        'generation_number': lambda self: NOTHING_AND_SKIP_PREVIOUS_TEXT if self.p.n_iter == 1 and self.p.batch_size == 1 else self.p.iteration * self.p.batch_size + self.p.batch_index + 1,
        'hasprompt': lambda self, *args: self.hasprompt(*args),  # accepts formats:[hasprompt<prompt1|default><prompt2>..]
        'clip_skip': lambda self: opts.data["CLIP_stop_at_last_layers"],
    }
    default_time_format = '%Y%m%d%H%M%S'

    def __init__(self, p, seed, prompt, image):
        self.p = p
        self.seed = seed
        self.prompt = prompt
        self.image = image
        
    def hasprompt(self, *args):
        lower = self.prompt.lower()
        if self.p is None or self.prompt is None:
            return None
        outres = ""
        for arg in args:
            if arg != "":
                division = arg.split("|")
                expected = division[0].lower()
                default = division[1] if len(division) > 1 else ""
                if lower.find(expected) >= 0:
                    outres = f'{outres}{expected}'
                else:
                    outres = outres if default == "" else f'{outres}{default}'
        return sanitize_filename_part(outres)

    def prompt_no_style(self):
        if self.p is None or self.prompt is None:
            return None

        prompt_no_style = self.prompt
        for style in shared.prompt_styles.get_style_prompts(self.p.styles):
            if len(style) > 0:
                for part in style.split("{prompt}"):
                    prompt_no_style = prompt_no_style.replace(part, "").replace(", ,", ",").strip().strip(',')

                prompt_no_style = prompt_no_style.replace(style, "").strip().strip(',').strip()

        return sanitize_filename_part(prompt_no_style, replace_spaces=False)

    def prompt_words(self):
        words = [x for x in re_nonletters.split(self.prompt or "") if len(x) > 0]
        if len(words) == 0:
            words = ["empty"]
        return sanitize_filename_part(" ".join(words[0:opts.directories_max_prompt_words]), replace_spaces=False)

    def datetime(self, *args):
        time_datetime = datetime.datetime.now()

        time_format = args[0] if len(args) > 0 and args[0] != "" else self.default_time_format
        try:
            time_zone = pytz.timezone(args[1]) if len(args) > 1 else None
        except pytz.exceptions.UnknownTimeZoneError as _:
            time_zone = None

        time_zone_time = time_datetime.astimezone(time_zone)
        try:
            formatted_time = time_zone_time.strftime(time_format)
        except (ValueError, TypeError) as _:
            formatted_time = time_zone_time.strftime(self.default_time_format)

        return sanitize_filename_part(formatted_time, replace_spaces=False)

    def apply(self, x):
        res = ''

        for m in re_pattern.finditer(x):
            text, pattern = m.groups()

            if pattern is None:
                res += text
                continue

            pattern_args = []
            while True:
                m = re_pattern_arg.match(pattern)
                if m is None:
                    break

                pattern, arg = m.groups()
                pattern_args.insert(0, arg)

            fun = self.replacements.get(pattern.lower())
            if fun is not None:
                try:
                    replacement = fun(self, *pattern_args)
                except Exception:
                    replacement = None
                    print(f"Error adding [{pattern}] to filename", file=sys.stderr)
                    print(traceback.format_exc(), file=sys.stderr)

                if replacement == NOTHING_AND_SKIP_PREVIOUS_TEXT:
                    continue
                elif replacement is not None:
                    res += text + str(replacement)
                    continue

            res += f'{text}[{pattern}]'

        return res


def get_next_sequence_number(path, basename):
    """
    Determines and returns the next sequence number to use when saving an image in the specified directory.

    The sequence starts at 0.
    """
    result = -1
    if basename != '':
        basename = basename + "-"

    prefix_length = len(basename)
    for p in os.listdir(path):
        if p.startswith(basename):
            l = os.path.splitext(p[prefix_length:])[0].split('-')  # splits the filename (removing the basename first if one is defined, so the sequence number is always the first element)
            try:
                result = max(int(l[0]), result)
            except ValueError:
                pass

    return result + 1
#功能函数，删除图片
def delsdimg(fullfn_without_extension, extension):
    fullfn_without_extension = fullfn_without_extension
    extension = extension
    hgfilename = f"{fullfn_without_extension}{extension}"
    hgpath, tempfilename = os.path.split(hgfilename)
    hgname, hghzm = os.path.splitext(tempfilename)
    hgnames =f'{hgname}{extension}' 
    os.chdir(f'{hgpath}')
    os.remove(hgnames)
    print(f'成功删除图片:{hgnames}')

#功能函数，上传图片
def uploadhg(fullfn_without_extension, extension):
    fullfn_without_extension = fullfn_without_extension
    extension = extension
    hgfilename = f"{fullfn_without_extension}{extension}"

    hgpath, tempfilename = os.path.split(hgfilename)
    hgname, hghzm = os.path.splitext(tempfilename)

    print(f'hgpath:{hgpath}')

    print(f'hgname:{hgname}')

    print(f'hghzm:{hghzm}')

    hgnames =f'{hgname}{extension}' 
    huggingface_use = True
    huggingface_token_file = '/kaggle/working/hugfacetoken.txt'
    huggiingface_repo_id = 'xiemoxiaoshaso/image'
    # 将会同步的文件
    yun_files = [
    f'{hgnames}',
    ]
    if huggingface_use == True:
            hgurl = hugface_upload(huggingface_token_file,yun_files,huggiingface_repo_id,hgpath)
            return hgurl
    
#功能函数，上传图片
def hugface_upload(huggingface_token_file, yun_files, repo_id, hgpath):
    if Path(huggingface_token_file).exists():
        with open(huggingface_token_file, encoding="utf-8") as nkfile:
            hugToken = nkfile.readline()
        if hugToken != '':
            # 使用您的 Hugging Face 访问令牌登录
            login(token=hugToken)
            # 实例化 HfApi 类
            api = HfApi()
            print("HfApi 类已实例化")
            dqml = "/kaggle/working/stable-diffusion-webui/"
            #hgpaths = f'{dqml}{hgpath}'
            os.chdir(f'{hgpath}')
            # 使用 upload_file() 函数上传文件
            print("开始上传文件...")
            for yun_file in yun_files:
                if Path(yun_file).exists():
                    response = api.upload_file(
                        path_or_fileobj=yun_file,
                        path_in_repo=yun_file,
                        repo_id=repo_id,
                        repo_type="dataset"
                    )
                    print(f"文件上传完成{response}")
                    os.chdir(f'{dqml}')
                    return response
                else:
                    print(f'Error: File {yun_file} does not exist')
                    return
                    os.chdir(f'{dqml}')
    else:
        print(f'Error: File {huggingface_token_file} does not exist')
        os.chdir(f'{dqml}')



def save_image(image, path, basename, seed=None, prompt=None, extension='png', info=None, short_filename=False, no_prompt=False, grid=False, pnginfo_section_name='parameters', p=None, existing_info=None, forced_filename=None, suffix="", save_to_dirs=None):
    """Save an image.

    Args:
        image (`PIL.Image`):
            The image to be saved.
        path (`str`):
            The directory to save the image. Note, the option `save_to_dirs` will make the image to be saved into a sub directory.
        basename (`str`):
            The base filename which will be applied to `filename pattern`.
        seed, prompt, short_filename,
        extension (`str`):
            Image file extension, default is `png`.
        pngsectionname (`str`):
            Specify the name of the section which `info` will be saved in.
        info (`str` or `PngImagePlugin.iTXt`):
            PNG info chunks.
        existing_info (`dict`):
            Additional PNG info. `existing_info == {pngsectionname: info, ...}`
        no_prompt:
            TODO I don't know its meaning.
        p (`StableDiffusionProcessing`)
        forced_filename (`str`):
            If specified, `basename` and filename pattern will be ignored.
        save_to_dirs (bool):
            If true, the image will be saved into a subdirectory of `path`.

    Returns: (fullfn, txt_fullfn)
        fullfn (`str`):
            The full path of the saved imaged.
        txt_fullfn (`str` or None):
            If a text file is saved for this image, this will be its full path. Otherwise None.
    """
    namegen = FilenameGenerator(p, seed, prompt, image)

    if save_to_dirs is None:
        save_to_dirs = (grid and opts.grid_save_to_dirs) or (not grid and opts.save_to_dirs and not no_prompt)

    if save_to_dirs:
        dirname = namegen.apply(opts.directories_filename_pattern or "[prompt_words]").lstrip(' ').rstrip('\\ /')
        path = os.path.join(path, dirname)

    os.makedirs(path, exist_ok=True)

    if forced_filename is None:
        if short_filename or seed is None:
            file_decoration = ""
        elif opts.save_to_dirs:
            file_decoration = opts.samples_filename_pattern or "[seed]"
        else:
            file_decoration = opts.samples_filename_pattern or "[seed]-[prompt_spaces]"

        add_number = opts.save_images_add_number or file_decoration == ''

        if file_decoration != "" and add_number:
            file_decoration = "-" + file_decoration

        file_decoration = namegen.apply(file_decoration) + suffix

        if add_number:
            basecount = get_next_sequence_number(path, basename)
            fullfn = None
            for i in range(500):
                fn = f"{basecount + i:05}" if basename == '' else f"{basename}-{basecount + i:04}"
                fullfn = os.path.join(path, f"{fn}{file_decoration}.{extension}")
                if not os.path.exists(fullfn):
                    break
        else:
            fullfn = os.path.join(path, f"{file_decoration}.{extension}")
    else:
        fullfn = os.path.join(path, f"{forced_filename}.{extension}")

    pnginfo = existing_info or {}
    if info is not None:
        pnginfo[pnginfo_section_name] = info

    params = script_callbacks.ImageSaveParams(image, p, fullfn, pnginfo)
    script_callbacks.before_image_saved_callback(params)

    image = params.image
    fullfn = params.filename
    info = params.pnginfo.get(pnginfo_section_name, None)

    def _atomically_save_image(image_to_save, filename_without_extension, extension):
        # save image with .tmp extension to avoid race condition when another process detects new image in the directory
        temp_file_path = filename_without_extension + ".tmp"
        image_format = Image.registered_extensions()[extension]

        if extension.lower() == '.png':
            pnginfo_data = PngImagePlugin.PngInfo()
            if opts.enable_pnginfo:
                for k, v in params.pnginfo.items():
                    pnginfo_data.add_text(k, str(v))

            image_to_save.save(temp_file_path, format=image_format, quality=opts.jpeg_quality, pnginfo=pnginfo_data)

        elif extension.lower() in (".jpg", ".jpeg", ".webp"):
            if image_to_save.mode == 'RGBA':
                image_to_save = image_to_save.convert("RGB")
            elif image_to_save.mode == 'I;16':
                image_to_save = image_to_save.point(lambda p: p * 0.0038910505836576).convert("RGB" if extension.lower() == ".webp" else "L")

            image_to_save.save(temp_file_path, format=image_format, quality=opts.jpeg_quality, lossless=opts.webp_lossless)

            if opts.enable_pnginfo and info is not None:
                exif_bytes = piexif.dump({
                    "Exif": {
                        piexif.ExifIFD.UserComment: piexif.helper.UserComment.dump(info or "", encoding="unicode")
                    },
                })

                piexif.insert(exif_bytes, temp_file_path)
        else:
            image_to_save.save(temp_file_path, format=image_format, quality=opts.jpeg_quality)

        # atomically rename the file with correct extension
        os.replace(temp_file_path, filename_without_extension + extension)

    fullfn_without_extension, extension = os.path.splitext(params.filename)
    if hasattr(os, 'statvfs'):
        max_name_len = os.statvfs(path).f_namemax
        fullfn_without_extension = fullfn_without_extension[:max_name_len - max(4, len(extension))]
        params.filename = fullfn_without_extension + extension
        fullfn = params.filename
    
    dqml = "/kaggle/working/stable-diffusion-webui/"
    os.chdir(f'{dqml}')
    
    _atomically_save_image(image, fullfn_without_extension, extension)
    #上传图片至抱脸
    hgurl = uploadhg(fullfn_without_extension, extension)
    
    
    image.already_saved_as = fullfn

    oversize = image.width > opts.target_side_length or image.height > opts.target_side_length
    if opts.export_for_4chan and (oversize or os.stat(fullfn).st_size > opts.img_downscale_threshold * 1024 * 1024):
        ratio = image.width / image.height

        if oversize and ratio > 1:
            image = image.resize((round(opts.target_side_length), round(image.height * opts.target_side_length / image.width)), LANCZOS)
        elif oversize:
            image = image.resize((round(image.width * opts.target_side_length / image.height), round(opts.target_side_length)), LANCZOS)

        try:
            _atomically_save_image(image, fullfn_without_extension, ".jpg")
        except Exception as e:
            errors.display(e, "saving image as downscaled JPG")

    if opts.save_txt and info is not None:
        txt_fullfn = f"{fullfn_without_extension}.txt"
        with open(txt_fullfn, "w", encoding="utf8") as file:
            file.write(info + "\n")
    else:
        txt_fullfn = None

    script_callbacks.image_saved_callback(params)
    
    #上传成功后删除本地图片
    delsdimg(fullfn_without_extension, extension)
    print(f'fullfn:{fullfn}')
    print(f'hgurl:{hgurl}')
    print(f'txt_fullfn:{txt_fullfn}')
    fullfn = hgurl
    return fullfn, txt_fullfn


def read_info_from_image(image):
    items = image.info or {}

    geninfo = items.pop('parameters', None)

    if "exif" in items:
        exif = piexif.load(items["exif"])
        exif_comment = (exif or {}).get("Exif", {}).get(piexif.ExifIFD.UserComment, b'')
        try:
            exif_comment = piexif.helper.UserComment.load(exif_comment)
        except ValueError:
            exif_comment = exif_comment.decode('utf8', errors="ignore")

        if exif_comment:
            items['exif comment'] = exif_comment
            geninfo = exif_comment

        for field in ['jfif', 'jfif_version', 'jfif_unit', 'jfif_density', 'dpi', 'exif',
                      'loop', 'background', 'timestamp', 'duration']:
            items.pop(field, None)

    if items.get("Software", None) == "NovelAI":
        try:
            json_info = json.loads(items["Comment"])
            sampler = sd_samplers.samplers_map.get(json_info["sampler"], "Euler a")

            geninfo = f"""{items["Description"]}
Negative prompt: {json_info["uc"]}
Steps: {json_info["steps"]}, Sampler: {sampler}, CFG scale: {json_info["scale"]}, Seed: {json_info["seed"]}, Size: {image.width}x{image.height}, Clip skip: 2, ENSD: 31337"""
        except Exception:
            print("Error parsing NovelAI image generation parameters:", file=sys.stderr)
            print(traceback.format_exc(), file=sys.stderr)

    return geninfo, items


def image_data(data):
    import gradio as gr

    try:
        image = Image.open(io.BytesIO(data))
        textinfo, _ = read_info_from_image(image)
        return textinfo, None
    except Exception:
        pass

    try:
        text = data.decode('utf8')
        assert len(text) < 10000
        return text, None

    except Exception:
        pass

    return gr.update(), None


def flatten(img, bgcolor):
    """replaces transparency with bgcolor (example: "#ffffff"), returning an RGB mode image with no transparency"""

    if img.mode == "RGBA":
        background = Image.new('RGBA', img.size, bgcolor)
        background.paste(img, mask=img)
        img = background

    return img.convert('RGB')