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。
2026-07-11 18:11:49 +08:00
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+import requests
+import json
+from common.logger import config
+
+version = config.get('default', 'version')
+if version == "local":
+    current_photo_service_url = 'http://192.168.1.57:32678/'
+else:
+    current_photo_service_url = 'http://0.0.0.0:32678/'
+
+def call_hair_infer(task_id, hair_id, hair_material_dir, infer_req, is_hr, inference_port):
+    url = f"{current_photo_service_url}api/hair/inference"
+    payload = json.dumps({
+        "task_id": task_id,
+        "hair_id": hair_id,
+        "hd_version_flag":is_hr,
+        "hair_material_dir": hair_material_dir,
+        "request_json": infer_req,
+        "inference_port": inference_port
+    })
+    headers = {
+      'Content-Type': 'application/json'
+    }
+    # print("---call infer payload:", payload)
+
+    response = requests.request("POST", url, headers=headers, data=payload)
+
+    # print(response.json())
+
+    return response.json()
+
+def call_hair_infer_diy(task_id, infer_req, inference_port):
+    url = f"{current_photo_service_url}api/hair/inference_diy"
+    payload = json.dumps({
+        "task_id": task_id,
+        "request_json": infer_req,
+        "inference_port": inference_port
+    })
+    headers = {
+      'Content-Type': 'application/json'
+    }
+    # print("---call infer payload:", payload)
+
+    response = requests.request("POST", url, headers=headers, data=payload)
+
+    # print(response.json())
+
+    return response.json()
+
+
+
+def call_hair_enhance(img_path, mask_path, task_id, in_gender):
+    url = "http://127.0.0.1:7393/hairEnhance/v1"
+    payload = json.dumps({
+        "img_path": img_path,
+        "mask_path": mask_path,
+        "req_id": task_id,
+        "gender": in_gender
+    })
+    headers = {
+      'Content-Type': 'application/json'
+    }
+    # print("---call infer payload:", payload)
+
+    response = requests.request("POST", url, headers=headers, data=payload)
+
+    # print(response.json())
+
+    return response.json()
+
+def face_info(img_path):
+    url = "http://127.0.0.1:7393/faceInfo/v1"
+    payload = json.dumps({
+        "img": img_path,
+        "userId": 'fff',
+        "isLocal": True,
+    })
+    headers = {
+      'Content-Type': 'application/json'
+    }
+    # print("---call infer payload:", payload)
+
+    response = requests.request("POST", url, headers=headers, data=payload)
+
+    print(response.json())
+
+    return response.json()
+
+def is_same(img_url1, img_url2):
+    url = "http://127.0.0.1:7393/faceInfo/same"
+    payload = json.dumps({
+        "img_url1": img_url1,
+        "img_url2": img_url2,
+        # "isLocal": True,
+    })
+    headers = {
+      'Content-Type': 'application/json'
+    }
+    # print("---call infer payload:", payload)
+
+    response = requests.request("POST", url, headers=headers, data=payload)
+
+    print(response.json())
+
+    return response.json()
+
+def hair_select(img_url):
+    url = "http://127.0.0.1:7393/hairStyle/hair_select"
+    payload = json.dumps({
+        "img_url": img_url,
+        # "isLocal": True,
+    })
+    headers = {
+      'Content-Type': 'application/json'
+    }
+    # print("---call infer payload:", payload)
+
+    response = requests.request("POST", url, headers=headers, data=payload)
+
+    print(response.json())
+
+    return response.json()
+# test_url = 'https://ydapp-1317132355.cos.ap-beijing.myqcloud.com/hair_mz/images/hairstyle/fb7d7a58-3228-40f2-84a6-337088ee31e2/2023031623425988.jpg'
+# test_url = 'https://ydapp-1317132355.cos.ap-beijing.myqcloud.com/hair_mz/images/vaffflue12.png'
+# hair_select(test_url)