colomi
0eb61f3e60
包含： - hair_service_sd: 换发型/换发色算法服务 (端口 8801) - photo_service: LoRA 训练调度服务 (端口 32678) - stable-diffusion-webui: SD WebUI 推理服务 (端口 57860) - kohya_ss_home: 训练环境代码 - meidaojia: 监控测试脚本 - setup.sh: 一键部署脚本 (conda环境恢复 + 配置生成 + 完整性检查) - start_all_services.sh: 启动3个服务 - configure.ini.template: 路径模板化 (BASE_DIR自动推导) - conda_envs/py310.yml: py310 环境定义 大文件 (weights/, models/, data/, conda_envs/*.tar.gz 等) 通过 .gitignore 排除， 由网盘单独上传。
59 lines
1.5 KiB
Python
Executable File
59 lines
1.5 KiB
Python
Executable File
import logging
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import os
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try:
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from tqdm import tqdm
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class TqdmLoggingHandler(logging.Handler):
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def __init__(self, fallback_handler: logging.Handler):
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super().__init__()
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self.fallback_handler = fallback_handler
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def emit(self, record):
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try:
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# If there are active tqdm progress bars,
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# attempt to not interfere with them.
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if tqdm._instances:
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tqdm.write(self.format(record))
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else:
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self.fallback_handler.emit(record)
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except Exception:
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self.fallback_handler.emit(record)
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except ImportError:
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TqdmLoggingHandler = None
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def setup_logging(loglevel):
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if loglevel is None:
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loglevel = os.environ.get("SD_WEBUI_LOG_LEVEL")
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if not loglevel:
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return
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if logging.root.handlers:
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# Already configured, do not interfere
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return
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formatter = logging.Formatter(
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'%(asctime)s %(levelname)s [%(name)s] %(message)s',
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'%Y-%m-%d %H:%M:%S',
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)
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if os.environ.get("SD_WEBUI_RICH_LOG"):
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from rich.logging import RichHandler
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handler = RichHandler()
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else:
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handler = logging.StreamHandler()
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handler.setFormatter(formatter)
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if TqdmLoggingHandler:
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handler = TqdmLoggingHandler(handler)
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handler.setFormatter(formatter)
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log_level = getattr(logging, loglevel.upper(), None) or logging.INFO
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logging.root.setLevel(log_level)
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logging.root.addHandler(handler)
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