初始化换发型项目:3个微服务代码 + 部署脚本
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。
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from __future__ import annotations
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import io
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import subprocess
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import git
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class Git(git.Git):
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"""
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Git subclassed to never use persistent processes.
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"""
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def _get_persistent_cmd(self, attr_name, cmd_name, *args, **kwargs):
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raise NotImplementedError(f"Refusing to use persistent process: {attr_name} ({cmd_name} {args} {kwargs})")
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def get_object_header(self, ref: str | bytes) -> tuple[str, str, int]:
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ret = subprocess.check_output(
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[self.GIT_PYTHON_GIT_EXECUTABLE, "cat-file", "--batch-check"],
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input=self._prepare_ref(ref),
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cwd=self._working_dir,
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timeout=2,
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)
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return self._parse_object_header(ret)
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def stream_object_data(self, ref: str) -> tuple[str, str, int, Git.CatFileContentStream]:
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# Not really streaming, per se; this buffers the entire object in memory.
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# Shouldn't be a problem for our use case, since we're only using this for
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# object headers (commit objects).
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ret = subprocess.check_output(
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[self.GIT_PYTHON_GIT_EXECUTABLE, "cat-file", "--batch"],
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input=self._prepare_ref(ref),
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cwd=self._working_dir,
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timeout=30,
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)
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bio = io.BytesIO(ret)
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hexsha, typename, size = self._parse_object_header(bio.readline())
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return (hexsha, typename, size, self.CatFileContentStream(size, bio))
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class Repo(git.Repo):
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GitCommandWrapperType = Git
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