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。

hair_service_sd/common/callback.py

@@ -0,0 +1,46 @@
+import requests
+import json
+
+callback_hairstyle_url = "https://puton.meidaojia.com/api/cloth/callBack"
+
+def callback_color(color_id, cover_img, success):
+    url = "http://172.21.0.3:8080/ydapp/system/platform/complete_color_model"
+    payload = json.dumps({
+      "success": success,
+      "colorId": color_id,
+      "coverImg": cover_img
+    })
+    headers = {
+      'X-MZ-API-TOKEN': '98bcf37c942a2240ba2d907c96ed1137',
+      'Content-Type': 'application/json'
+    }
+    response = requests.request("POST", url, headers=headers, data=payload)
+    return response
+    # print(response.text)
+
+
+def callback_hairstyle(req_id, state, message, clothId):
+    url = callback_hairstyle_url
+    payload = json.dumps({
+        "taskId": req_id,
+        "status": state,
+        "clothId": clothId,
+        "msg": message
+    })
+
+    status = -1
+
+    print(f"url:{url},complete_hair_model payload:{payload}")
+
+    headers = {
+      'X-MZ-API-TOKEN': '98bcf37c942a2240ba2d907c96ed1137',
+      'Content-Type': 'application/json'
+    }
+    try:
+        response = requests.request("POST", url, headers=headers, data=payload)
+        print("response:", response.text)
+        status = 0
+    except Exception as e:
+        print(e)
+
+    return response.text, status

hair_service_sd/common/gpu_process.py

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+import pynvml
+threshold = 0.9
+def get_gpu(need_gpu_id):
+    used = get_gpu_threshold(need_gpu_id)
+    #小于一定的
+    if used > threshold:
+        need_use = get_use_gpu()
+        return need_use[0]
+    else:
+        return need_gpu_id
+
+def get_use_gpu():
+    use=[]
+    for index in range(pynvml.nvmlDeviceGetCount()):
+        used = get_gpu_threshold(index)
+        if used > threshold:
+            use.append(index)
+    return use
+
+def get_gpu_count():
+    return pynvml.nvmlDeviceGetCount()
+
+def get_gpu_threshold(index):
+    handle = pynvml.nvmlDeviceGetHandleByIndex(index)
+    meminfo = pynvml.nvmlDeviceGetMemoryInfo(handle)
+    used = meminfo.used / meminfo.total
+    return used

hair_service_sd/common/logger.py

@@ -0,0 +1,63 @@
+#!/usr/bin/python
+# coding=utf-8
+import os
+from logging.handlers import TimedRotatingFileHandler
+import logging
+import configparser
+config = configparser.ConfigParser()   # 创建对象
+config.read("config/configure.ini", encoding="utf-8")  # 读取配置文件，如果配置文件不存在则创建
+
+"""
+  自定义日志处理
+"""
+
+
+class LogFactory(object):
+
+    @staticmethod
+    def getLogger(log_name,log_level=None):
+        if log_level is None:
+           log_level = LogFactory.getLogLevel(getLevel())
+        logger = logging.getLogger(log_name)
+        path = getPath()
+        isExists=os.path.exists(path)
+        if not isExists:
+           os.makedirs(path)
+        log_file = os.path.join(path, '{}.log'.format(log_name))
+        if len(logger.handlers) <= 0:
+            handler = TimedRotatingFileHandler(log_file, when='D', interval=1)
+        else:
+            handler = logger.handlers[0]
+        formatter = logging.Formatter("%(asctime)s-%(thread)d-%(filename)s-%(levelname)s-%(message)s", "%Y-%m-%d %H:%M:%S")
+        handler.setFormatter(formatter)
+        logger.addHandler(handler)
+        logger.setLevel(log_level)
+        return logger
+
+    @staticmethod
+    def getLogLevel(log_level):
+        log_level = getattr(logging, log_level.upper(), None)
+        if log_level is None:
+            raise Exception("No such log level.")
+        return log_level
+
+
+def getPath():
+    import sys
+    process_order = sys.argv[1] if len(sys.argv) > 1 else None
+    logpath = config.get('logger', "logpath")
+    logpath = logpath.rstrip("/")
+
+    if process_order is None:
+        return logpath
+
+    return logpath
+
+
+def getLevel():
+    return config.get('logger', "level")
+
+
+
+
+