227 lines
6.9 KiB
Python
227 lines
6.9 KiB
Python
from datetime import datetime
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import os
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import platform
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import re
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import tempfile
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import imghdr
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def human_readable_size(size_bytes):
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"""
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Converts bytes to a human-readable format.
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"""
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# define the size units
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units = ('B', 'KB', 'MB', 'GB', 'TB', 'PB', 'EB', 'ZB', 'YB')
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# calculate the logarithm of the input value with base 1024
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size = int(size_bytes)
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if size == 0:
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return '0B'
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i = 0
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while size >= 1024 and i < len(units) - 1:
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size /= 1024
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i += 1
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# round the result to two decimal points and return as a string
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return '{:.2f} {}'.format(size, units[i])
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def get_windows_drives():
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drives = []
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for drive in range(ord('A'), ord('Z')+1):
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drive_name = chr(drive) + ':/'
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if os.path.exists(drive_name):
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drives.append(drive_name)
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return drives
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pattern = re.compile(r'(\d+\.?\d*)([KMGT]?B)', re.IGNORECASE)
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def convert_to_bytes(file_size_str):
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match = re.match(pattern, file_size_str)
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if match:
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size_str, unit_str = match.groups()
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size = float(size_str)
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unit = unit_str.upper()
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if unit == "KB":
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size *= 1024
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elif unit == "MB":
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size *= 1024**2
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elif unit == "GB":
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size *= 1024**3
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elif unit == "TB":
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size *= 1024**4
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return int(size)
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else:
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raise ValueError(f"Invalid file size string '{file_size_str}'")
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import asyncio
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def debounce(delay):
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"""用于优化高频事件的装饰器"""
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def decorator(func):
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from typing import Union
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task: Union[None, asyncio.Task] = None
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async def debounced(*args, **kwargs):
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nonlocal task
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if task:
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task.cancel()
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task = asyncio.create_task(asyncio.sleep(delay))
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await task
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return await func(*args, **kwargs)
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return debounced
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return decorator
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def is_valid_image_path(path):
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"""
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判断给定的路径是否是图像文件
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"""
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abs_path = os.path.abspath(path) # 转为绝对路径
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if not os.path.exists(abs_path): # 判断路径是否存在
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return False
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if not os.path.isfile(abs_path): # 判断是否是文件
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return False
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if not imghdr.what(abs_path): # 判断是否是图像文件
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return False
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return True
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is_dev = "APP_ENV" in os.environ and os.environ["APP_ENV"] == "dev"
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cwd = os.path.normpath(os.path.join(__file__, "../../"))
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is_win = platform.system().lower().find("windows") != -1
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def get_temp_path():
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"""获取跨平台的临时文件目录路径"""
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temp_path = None
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try:
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# 尝试获取系统环境变量中的临时文件目录路径
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temp_path = os.environ.get('TMPDIR') or os.environ.get('TMP') or os.environ.get('TEMP')
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except Exception as e:
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print("获取系统环境变量临时文件目录路径失败，错误信息：", e)
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# 如果系统环境变量中没有设置临时文件目录路径，则使用 Python 的 tempfile 模块创建临时文件目录
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if not temp_path:
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try:
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temp_path = tempfile.gettempdir()
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except Exception as e:
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print("使用 Python 的 tempfile 模块创建临时文件目录失败，错误信息：", e)
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# 确保临时文件目录存在
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if not os.path.exists(temp_path):
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try:
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os.makedirs(temp_path)
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except Exception as e:
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print("创建临时文件目录失败，错误信息：", e)
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return temp_path
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temp_path = get_temp_path()
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def get_locale():
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import locale
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lang, _ = locale.getdefaultlocale()
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return 'zh' if lang.startswith('zh') else 'en'
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locale = get_locale()
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def get_modified_date(folder_path: str):
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return datetime.fromtimestamp(os.path.getmtime(folder_path)).strftime('%Y-%m-%d %H:%M:%S')
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def unique_by(seq, key_func):
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seen = set()
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return [x for x in seq if not (key := key_func(x)) in seen and not seen.add(key)]
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def read_info_from_image(image) -> str:
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import piexif
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import piexif.helper
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items = image.info or {}
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geninfo = items.pop('parameters', None)
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if "exif" in items:
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exif = piexif.load(items["exif"])
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exif_comment = (exif or {}).get("Exif", {}).get(piexif.ExifIFD.UserComment, b'')
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try:
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exif_comment = piexif.helper.UserComment.load(exif_comment)
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except ValueError:
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exif_comment = exif_comment.decode('utf8', errors="ignore")
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if exif_comment:
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items['exif comment'] = exif_comment
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geninfo = exif_comment
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return geninfo
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re_param_code = r'\s*([\w ]+):\s*("(?:\\"[^,]|\\"|\\|[^\"])+"|[^,]*)(?:,|$)'
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re_param = re.compile(re_param_code)
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re_imagesize = re.compile(r"^(\d+)x(\d+)$")
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re_lora_prompt = re.compile("<lora:([\w_]+):([\d.]+)>")
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re_parens = re.compile(r'[\\/\[\](){}]+')
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def parse_prompt(x:str):
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x = re.sub(re_parens, '', x.lower().replace('，',',').replace('-',' ').replace('_', ' '))
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tag_list = [x.strip() for x in x.split(',')]
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res = []
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lora_list = []
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for tag in tag_list:
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if len(tag) == 0:
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continue
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idx_colon = tag.find(':')
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if idx_colon != -1:
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lora_res = re.match(re_lora_prompt, tag)
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if lora_res:
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lora_list.append({ "name": lora_res.group(1), "value": float(lora_res.group(2))})
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else:
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res.append(tag[0:idx_colon])
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else:
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res.append(tag)
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return res, lora_list
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def parse_generation_parameters(x: str):
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res = {}
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prompt = ""
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negative_prompt = ""
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done_with_prompt = False
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if not x:
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return {},[],[],[]
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*lines, lastline = x.strip().split("\n")
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if len(re_param.findall(lastline)) < 3:
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lines.append(lastline)
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lastline = ''
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for i, line in enumerate(lines):
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line = line.strip()
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if line.startswith("Negative prompt:"):
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done_with_prompt = True
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line = line[16:].strip()
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if done_with_prompt:
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negative_prompt += ("" if negative_prompt == "" else "\n") + line
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else:
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prompt += ("" if prompt == "" else "\n") + line
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#res["pos_prompt"] = prompt
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#res["neg_prompt"] = negative_prompt
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for k, v in re_param.findall(lastline):
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v = v[1:-1] if v[0] == '"' and v[-1] == '"' else v
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m = re_imagesize.match(v)
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if m is not None:
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res[k+"-1"] = m.group(1)
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res[k+"-2"] = m.group(2)
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else:
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res[k] = v
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pos_prompt, lora = parse_prompt(prompt)
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neg_prompt = [] # parse_prompt(negative_prompt)[0]
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for k in res:
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k_s = str(k)
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if k_s.startswith("AddNet Module") and str(res[k]).lower() == "lora":
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model = res[k_s.replace("Module", "Model")]
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value = res.get(k_s.replace("Module", "Weight A"), "1")
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lora.append({ "name": model, "value": float(value) })
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return res, unique_by(lora, lambda x:x['name']), unique_by(pos_prompt, lambda x:x), unique_by(neg_prompt, lambda x:x)
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