3D 打板部署

app/api/api_route.py

@@ -11,6 +11,7 @@ from app.api import api_precompute
 from app.api import api_prompt_generation
 from app.api import api_recommendation
 from app.api import api_test
+from app.api import api_sketch_to_garment
 
 router = APIRouter()
 
@@ -26,6 +27,7 @@ router.include_router(api_precompute.router, tags=['api_precompute'], prefix="/a
 router.include_router(api_mannequins_edit.router, tags=['api_mannequins_edit'], prefix="/api")
 router.include_router(api_pose_transform.router, tags=['api_pose_transform'], prefix="/api")
 router.include_router(api_clothing_seg.router, tags=['api_clothing_seg'], prefix="/api")
+router.include_router(api_sketch_to_garment.router, tags=['sketch_to_garment'], prefix="/api")
 
 """停用"""
 # from app.api import api_chat_robot

app/api/api_sketch_to_garment.py

@@ -0,0 +1,104 @@
+import json
+import logging
+
+from fastapi import APIRouter, HTTPException
+
+from app.schemas.response_template import ResponseModel
+from app.schemas.sketch_to_garment_schemas import SketchToGarmentModel
+from app.service.sketch2garment.server import submit_sketch_to_garment_task
+
+logger = logging.getLogger()
+router = APIRouter()
+
+
+@router.post("/sketch_to_garment")
+def sketch_to_garment_api(request_item: SketchToGarmentModel):
+    """
+        ### 接口说明:
+        将图片转换为3D模型（异步处理）。接口接收请求后立即返回任务ID，后台通过 Celery 处理，处理完成后结果会通过 RabbitMQ 发送。
+
+        ### 参数说明:
+        - **input_image_path**: 输入图片路径
+        - **bucket_name**: bucket name
+        - **user_id**: 用户id
+        - **callback_url**: 回调url
+        - **task_id**: 任务id
+        - **model**: 转换模式 文本和图片 ,默认只有图片
+
+        ### 请求体示例:
+        **单张图片模式:**
+        ```json
+        {
+          "input_image_path": "test/53d38bd5-f77b-4034-ada2-45f1e2ebe00c.png",
+          "bucket_name": "test",
+          "user_id": "string-456",
+          "callback_url": "http://18.167.251.121:10015/api/image/webhook/img-to-3d",
+          "task_id": "string12",
+          "model": "picture"
+        }
+        ```
+
+
+        ### 输出示例:
+
+        ```json
+        {
+          "code": 200,
+          "msg": "OK!",
+          "data": {
+            "state": "success",
+            "task_id": "string12",
+            "message": "任务已成功提交，正在后台处理..."
+          }
+        }
+        ```
+        ### 错误输出
+        参考文档:    https://platform.tripo3d.ai/docs/error-handling
+        ```json
+        {
+            "code": 500,
+            "message": "You don’t have enough credit to create this task",
+            "data": {
+                "status": "fail",
+                "task_id": "123",
+                "message": "You don’t have enough credit to create this task",
+                "error": str(e)
+            }
+        }
+        ```
+
+        回调请求参数例子:
+        ```json
+        {
+            "task_id": "string12",
+            "status": "success",
+            "result": {
+                "pattern": "test/string-456/pattern_making/now_string-456_pattern.png",
+                "texture": "test/string-456/pattern_making/now_string-456_texture.png",
+                "glb": "test/string-456/pattern_making/now_string-456_sim.glb",
+                "texture_fabric": "test/string-456/pattern_making/now_string-456_texture_fabric.png"
+            }
+        }
+        ```
+        """
+    try:
+        logger.info(f"sketch_to_garment request item is : @@@@@@:{json.dumps(request_item.model_dump(), indent=4)}")
+        result = submit_sketch_to_garment_task(
+            task_id=request_item.task_id,
+            callback_url=request_item.callback_url,
+            bucket_name=request_item.bucket_name,
+            input_image_path=request_item.input_image_path,
+            user_id=request_item.user_id,
+            model=request_item.model
+        )
+        result = {
+            "state": "success",
+            "task_id": request_item.task_id,
+            "message": "任务已成功提交，正在后台处理...",
+        }
+        state_code = 200
+        return ResponseModel(data=result, code=state_code)
+
+    except Exception as e:
+        logger.warning(f"super_resolution Run Exception @@@@@@:{e}")
+        raise HTTPException(status_code=404, detail=str(e))

app/core/config.py

@@ -1,5 +1,21 @@
+import logging
+from typing import Dict, Any
+
+import yaml
 from pydantic import Field
 from pydantic_settings import BaseSettings, SettingsConfigDict
+from v2.nacos import ClientConfigBuilder, GRPCConfig, NacosConfigService, ConfigParam, NacosNamingService, RegisterInstanceParam, DeregisterInstanceParam
+
+logger = logging.getLogger(__name__)
+
+# ====================== Nacos 配置 ======================
+NACOS_SERVER_ADDRESSES = "18.167.251.121:28848"
+NACOS_NAMESPACE = "zcr"
+NACOS_USERNAME = "nacos"
+NACOS_PASSWORD = "Aidlab123123!"
+NACOS_GROUP = "LOCAL"
+NACOS_DATA_ID = "aida.python"
+SERVICE_NAME = "fastapi-service"  # ←←← 必须修改！建议格式：项目名-环境，例如 ai-image-service-dev
 
 
 class Settings(BaseSettings):
@@ -71,6 +87,9 @@ class Settings(BaseSettings):
     A6000_SERVICE_HOST: str = Field(default='', description="")
     B_4_X_4090_SERVICE_HOST: str = Field(default='', description="")
 
+    # --- sketch to garment 模型url ---
+    SKETCH_TO_GARMENT_URL: str = Field(default='', description="")
+
     # --- 其他配置信息 以下均为Docker容器内配置---
     LOGS_PATH: str = Field(default="/logs/", description="")
     CATEGORY_PATH: str = Field(default="/app/service/attribute/config/descriptor/category/category_dis.csv", description="")

app/main.py

@@ -1,5 +1,8 @@
 # 1. 这里的顺序至关重要！必须在最顶端
 import sys
+from contextlib import asynccontextmanager
+
+# from app.core.nacos_config import load_nacos_config, register_server, deregister_server
 
 try:
     import asyncore
@@ -30,8 +33,21 @@ logger = logging.getLogger(__name__)
 load_dotenv()
 
 
+# @asynccontextmanager
+# async def lifespan(app: FastAPI):
+#     try:
+#         load_nacos_config()
+#         register_server()
+#
+#         yield
+#     finally:
+#         deregister_server()
+#         logger.info("lifespan down")
+
+
 def get_application() -> FastAPI:
     application = FastAPI(
+        # lifespan=lifespan,
         docs_url="/docs",
         redoc_url='/re-docs',
         openapi_url=f"/openapi.json",
@@ -64,5 +80,11 @@ async def http_exception_handler(exc: HTTPException):
     )
 
 
+@app.get("/health", operation_id="health")
+async def health():
+    logger.info("health check")
+    return {"ok": True, "env": settings.APP_ENV}
+
+
 if __name__ == '__main__':
     uvicorn.run(app, host="0.0.0.0", port=settings.PORT)

app/schemas/sketch_to_garment_schemas.py

@@ -0,0 +1,12 @@
+from typing import List
+
+from pydantic import BaseModel, Field
+
+
+class SketchToGarmentModel(BaseModel):
+    input_image_path: str = Field(..., description="输入图片路径列表")
+    bucket_name: str = Field(..., description="输入图片路径列表")
+    user_id: str = Field(..., description="用户id")
+    callback_url: str  # 必填，客户端提供的回调地址
+    task_id: str = Field()
+    model: str = Field(default="single", description="模型类型: single 或 multi")

app/service/design_fast/pipeline/no_seg_print_painting.py

@@ -27,7 +27,7 @@ class NoSegPrintPainting:
             # 获取平铺 + 旋转 的overall print
             painting_dict = self.painting_collection(painting_dict, overall_print)
             result['no_seg_sketch_overall'] = result['no_seg_sketch_print'] = self.printpaint(result, painting_dict, print_=True)
-            result['pattern_image'] = result['no_seg_sketch_overall']
+            # result['pattern_image'] = result['no_seg_sketch_overall']
 
         if single_print:
             print_background = np.zeros((result['pattern_image'].shape[0], result['pattern_image'].shape[1], 3), dtype=np.uint8)
@@ -166,15 +166,17 @@ class NoSegPrintPainting:
         dim_max = max(painting_dict['dim_image_h'], painting_dict['dim_image_w'])
         dim_pattern = (int(dim_max * print_['scale'] / 5), int(dim_max * print_['scale'] / 5))
         gap = print_dict.get('gap', [[0, 0]])[0]
-        painting_dict['tile_print'] = tile_image(pattern=print_['image'],
+        painting_dict['tile_print'], painting_dict['mask_inv_print'] = tile_image(pattern=print_['image'],
-                                                 dim=dim_pattern,
+                                                                                  mask=print_['mask'],
-                                                 gap_x=gap[0],
+                                                                                  dim=dim_pattern,
-                                                 gap_y=gap[1],
+                                                                                  gap_x=gap[0],
-                                                 canvas_h=painting_dict['dim_image_h'],
+                                                                                  gap_y=gap[1],
-                                                 canvas_w=painting_dict['dim_image_w'],
+                                                                                  canvas_h=painting_dict['dim_image_h'],
-                                                 location=painting_dict['location'],
+                                                                                  canvas_w=painting_dict['dim_image_w'],
-                                                 angle=int(print_.get('print_angle_list', [0])[0]))
+                                                                                  location=painting_dict['location'],
-        painting_dict['mask_inv_print'] = np.zeros(painting_dict['tile_print'].shape[:2], dtype=np.uint8)
+                                                                                  angle=int(print_.get('print_angle_list', [0])[0]))
+        # painting_dict['mask_inv_print'] = np.zeros(painting_dict['tile_print'].shape[:2], dtype=np.uint8)
+        # painting_dict['mask_inv_print'] = self.get_mask_inv(painting_dict['tile_print'])
         return painting_dict
 
     def tile_image(self, pattern, dim, scale, dim_image_h, dim_image_w, location, trigger=False):
@@ -255,10 +257,15 @@ class NoSegPrintPainting:
         image = oss_get_image(oss_client=self.minio_client, bucket=bucket_name, object_name=object_name, data_type="PIL")
         # 判断图片格式，如果是RGBA 则贴在一张纯白图片上 防止透明转黑
         if image.mode == "RGBA":
+            mask_pil = image.split()[3]
             new_background = Image.new('RGB', image.size, (255, 255, 255))
             new_background.paste(image, mask=image.split()[3])
             image = new_background
+        else:
+            mask_pil = Image.new('L', image.size, 255)  # L=灰度图，255=纯白
         print_dict['image'] = cv2.cvtColor(np.asarray(image), cv2.COLOR_RGB2BGR)
+        print_dict['mask'] = cv2.threshold(np.array(mask_pil), 127, 255, cv2.THRESH_BINARY)[1]
+
         return print_dict
 
     def crop_image(self, image, image_size_h, image_size_w, location, print_shape):
@@ -408,9 +415,12 @@ class NoSegPrintPainting:
         return cropped_img
 
 
-def tile_image(pattern, dim, gap_x, gap_y, canvas_h, canvas_w, location, angle=0):
+def tile_image(pattern, mask, dim, gap_x, gap_y, canvas_h, canvas_w, location, angle=0):
     """
     按照指定的 X/Y 间距平铺印花，并支持旋转
+    【修改版】以被平铺图案的【中心】作为平铺基准点
+
+    :param location: [[center_y, center_x]]  → 第一个图案中心的坐标
     :param angle: 旋转角度 (度数, 逆时针)
     """
     # 1. 确保输入是 RGBA
@@ -422,35 +432,54 @@ def tile_image(pattern, dim, gap_x, gap_y, canvas_h, canvas_w, location, angle=0
     rotated_p = rotate_image(resized_p, angle)
     p_h, p_w = rotated_p.shape[:2]
 
-    # 3. 创建透明单元格
+    # 3. 创建透明单元格（图案放在单元格中心）
-    cell_h, cell_w = p_h + gap_y, p_w + gap_x
+    cell_h = p_h + gap_y
+    cell_w = p_w + gap_x
+
     unit_cell = np.zeros((cell_h, cell_w, 4), dtype=np.uint8)
-    unit_cell[:p_h, :p_w, :] = rotated_p
+
+    # 计算图案在单元格中的左上角位置（让图案居中）
+    start_y = (cell_h - p_h) // 2
+    start_x = (cell_w - p_w) // 2
+    unit_cell[start_y:start_y + p_h, start_x:start_x + p_w, :] = rotated_p
 
     # 4. 执行平铺
-    tiles_y = (canvas_h // cell_h) + 2
+    tiles_y = (canvas_h // cell_h) + 3  # 多加一点余量更安全
-    tiles_x = (canvas_w // cell_w) + 2
+    tiles_x = (canvas_w // cell_w) + 3
     full_tiled = np.tile(unit_cell, (tiles_y, tiles_x, 1))
 
-    # 5. 裁剪平铺层
+    # 5. 计算偏移（关键修改：以中心为基准）
-    offset_x = int(location[0][1] % cell_w)
+    center_y, center_x = location[0][0], location[0][1]  # 第一个图案的中心位置
-    offset_y = int(location[0][0] % cell_h)
+
+    # 计算从哪个位置开始裁剪，才能让中心落在指定坐标
+    offset_y = int((center_y - (p_h // 2)) % cell_h)
+    offset_x = int((center_x - (p_w // 2)) % cell_w)
+
     tiled_layer = full_tiled[offset_y: offset_y + canvas_h,
     offset_x: offset_x + canvas_w]
 
-    # 6. 创建纯白色背景并合成
+    # 6. 创建纯白色背景并合成（保持你原来的风格）
-    # 创建一个纯白色的 BGR 画布
     white_background = np.full((canvas_h, canvas_w, 3), 255, dtype=np.uint8)
 
-    # 分离平铺层的颜色通道和 Alpha 通道
     tiled_bgr = tiled_layer[:, :, :3]
-    alpha_mask = tiled_layer[:, :, 3] / 255.0  # 归一化到 0-1
+    alpha_mask = tiled_layer[:, :, 3] / 255.0
-    alpha_mask = cv2.merge([alpha_mask, alpha_mask, alpha_mask])  # 扩展到 3 通道
+    alpha_mask = cv2.merge([alpha_mask, alpha_mask, alpha_mask])
 
-    # 执行 Alpha 混合：结果 = 平铺层 * alpha + 背景 * (1 - alpha)
+    tiled_print = (tiled_bgr * alpha_mask + white_background * (1 - alpha_mask)).astype(np.uint8)
-    result = (tiled_bgr * alpha_mask + white_background * (1 - alpha_mask)).astype(np.uint8)
 
-    return result
+    # ====================== 处理 Mask ======================
+    # Mask 也同样居中处理
+    resized_mask = cv2.resize(mask, dim, interpolation=cv2.INTER_NEAREST)
+    rotated_mask = rotate_image(resized_mask, angle)  # 注意：mask也需要旋转
+
+    unit_mask = np.zeros((cell_h, cell_w), dtype=np.uint8)
+    unit_mask[start_y:start_y + p_h, start_x:start_x + p_w] = rotated_mask
+
+    full_mask_tiled = np.tile(unit_mask, (tiles_y, tiles_x))
+    tiled_mask = full_mask_tiled[offset_y: offset_y + canvas_h,
+    offset_x: offset_x + canvas_w]
+
+    return tiled_print, cv2.bitwise_not(tiled_mask)
 
 
 def rotate_image(image, angle):

app/service/design_fast/pipeline/print_painting.py

@@ -41,7 +41,7 @@ class PrintPainting:
         if overall_print['print_path_list']:
             overall_print['location'][0] = [x * y for x, y in zip(overall_print['location'][0], result['resize_scale'])]
             painting_dict = {'dim_image_h': result['pattern_image'].shape[0], 'dim_image_w': result['pattern_image'].shape[1]}
-            result['print_image'] = result['pattern_image']
+            result['print_image'] = result['pattern_image'].copy()
             # 获取平铺 + 旋转 的overall print
             painting_dict = self.painting_collection(painting_dict, overall_print)
             result['print_image'] = self.printpaint(result, painting_dict, print_=True)
@@ -229,15 +229,15 @@ class PrintPainting:
         dim_max = max(painting_dict['dim_image_h'], painting_dict['dim_image_w'])
         dim_pattern = (int(dim_max * print_['scale'] / 5), int(dim_max * print_['scale'] / 5))
         gap = print_dict.get('gap', [[0, 0]])[0]
-        painting_dict['tile_print'] = tile_image(pattern=print_['image'],
+        painting_dict['tile_print'], painting_dict['mask_inv_print'] = tile_image(pattern=print_['image'],
-                                                 dim=dim_pattern,
+                                                                                  mask=print_['mask'],
-                                                 gap_x=gap[0],
+                                                                                  dim=dim_pattern,
-                                                 gap_y=gap[1],
+                                                                                  gap_x=gap[0],
-                                                 canvas_h=painting_dict['dim_image_h'],
+                                                                                  gap_y=gap[1],
-                                                 canvas_w=painting_dict['dim_image_w'],
+                                                                                  canvas_h=painting_dict['dim_image_h'],
-                                                 location=painting_dict['location'],
+                                                                                  canvas_w=painting_dict['dim_image_w'],
-                                                 angle=int(print_.get('print_angle_list', [0])[0]))
+                                                                                  location=painting_dict['location'],
-        painting_dict['mask_inv_print'] = np.zeros(painting_dict['tile_print'].shape[:2], dtype=np.uint8)
+                                                                                  angle=int(print_.get('print_angle_list', [0])[0]))
         return painting_dict
 
     def tile_image(self, pattern, dim, scale, dim_image_h, dim_image_w, location, trigger=False):
@@ -318,10 +318,15 @@ class PrintPainting:
         image = oss_get_image(oss_client=self.minio_client, bucket=bucket_name, object_name=object_name, data_type="PIL")
         # 判断图片格式，如果是RGBA 则贴在一张纯白图片上 防止透明转黑
         if image.mode == "RGBA":
+            mask_pil = image.split()[3]
             new_background = Image.new('RGB', image.size, (255, 255, 255))
             new_background.paste(image, mask=image.split()[3])
             image = new_background
+        else:
+            mask_pil = Image.new('L', image.size, 255)  # L=灰度图，255=纯白
         print_dict['image'] = cv2.cvtColor(np.asarray(image), cv2.COLOR_RGB2BGR)
+        print_dict['mask'] = cv2.threshold(np.array(mask_pil), 127, 255, cv2.THRESH_BINARY)[1]
+
         return print_dict
 
     def crop_image(self, image, image_size_h, image_size_w, location, print_shape):
@@ -471,9 +476,12 @@ class PrintPainting:
         return cropped_img
 
 
-def tile_image(pattern, dim, gap_x, gap_y, canvas_h, canvas_w, location, angle=0):
+def tile_image(pattern, mask, dim, gap_x, gap_y, canvas_h, canvas_w, location, angle=0):
     """
     按照指定的 X/Y 间距平铺印花，并支持旋转
+    【修改版】以被平铺图案的【中心】作为平铺基准点
+
+    :param location: [[center_y, center_x]]  → 第一个图案中心的坐标
     :param angle: 旋转角度 (度数, 逆时针)
     """
     # 1. 确保输入是 RGBA
@@ -485,35 +493,54 @@ def tile_image(pattern, dim, gap_x, gap_y, canvas_h, canvas_w, location, angle=0
     rotated_p = rotate_image(resized_p, angle)
     p_h, p_w = rotated_p.shape[:2]
 
-    # 3. 创建透明单元格
+    # 3. 创建透明单元格（图案放在单元格中心）
-    cell_h, cell_w = p_h + gap_y, p_w + gap_x
+    cell_h = p_h + gap_y
+    cell_w = p_w + gap_x
+
     unit_cell = np.zeros((cell_h, cell_w, 4), dtype=np.uint8)
-    unit_cell[:p_h, :p_w, :] = rotated_p
+
+    # 计算图案在单元格中的左上角位置（让图案居中）
+    start_y = (cell_h - p_h) // 2
+    start_x = (cell_w - p_w) // 2
+    unit_cell[start_y:start_y + p_h, start_x:start_x + p_w, :] = rotated_p
 
     # 4. 执行平铺
-    tiles_y = (canvas_h // cell_h) + 2
+    tiles_y = (canvas_h // cell_h) + 3  # 多加一点余量更安全
-    tiles_x = (canvas_w // cell_w) + 2
+    tiles_x = (canvas_w // cell_w) + 3
     full_tiled = np.tile(unit_cell, (tiles_y, tiles_x, 1))
 
-    # 5. 裁剪平铺层
+    # 5. 计算偏移（关键修改：以中心为基准）
-    offset_x = int(location[0][1] % cell_w)
+    center_y, center_x = location[0][0], location[0][1]  # 第一个图案的中心位置
-    offset_y = int(location[0][0] % cell_h)
+
+    # 计算从哪个位置开始裁剪，才能让中心落在指定坐标
+    offset_y = int((center_y - (p_h // 2)) % cell_h)
+    offset_x = int((center_x - (p_w // 2)) % cell_w)
+
     tiled_layer = full_tiled[offset_y: offset_y + canvas_h,
     offset_x: offset_x + canvas_w]
 
-    # 6. 创建纯白色背景并合成
+    # 6. 创建纯白色背景并合成（保持你原来的风格）
-    # 创建一个纯白色的 BGR 画布
     white_background = np.full((canvas_h, canvas_w, 3), 255, dtype=np.uint8)
 
-    # 分离平铺层的颜色通道和 Alpha 通道
     tiled_bgr = tiled_layer[:, :, :3]
-    alpha_mask = tiled_layer[:, :, 3] / 255.0  # 归一化到 0-1
+    alpha_mask = tiled_layer[:, :, 3] / 255.0
-    alpha_mask = cv2.merge([alpha_mask, alpha_mask, alpha_mask])  # 扩展到 3 通道
+    alpha_mask = cv2.merge([alpha_mask, alpha_mask, alpha_mask])
 
-    # 执行 Alpha 混合：结果 = 平铺层 * alpha + 背景 * (1 - alpha)
+    tiled_print = (tiled_bgr * alpha_mask + white_background * (1 - alpha_mask)).astype(np.uint8)
-    result = (tiled_bgr * alpha_mask + white_background * (1 - alpha_mask)).astype(np.uint8)
 
-    return result
+    # ====================== 处理 Mask ======================
+    # Mask 也同样居中处理
+    resized_mask = cv2.resize(mask, dim, interpolation=cv2.INTER_NEAREST)
+    rotated_mask = rotate_image(resized_mask, angle)  # 注意：mask也需要旋转
+
+    unit_mask = np.zeros((cell_h, cell_w), dtype=np.uint8)
+    unit_mask[start_y:start_y + p_h, start_x:start_x + p_w] = rotated_mask
+
+    full_mask_tiled = np.tile(unit_mask, (tiles_y, tiles_x))
+    tiled_mask = full_mask_tiled[offset_y: offset_y + canvas_h,
+    offset_x: offset_x + canvas_w]
+
+    return tiled_print, cv2.bitwise_not(tiled_mask)
 
 
 def rotate_image(image, angle):

app/service/sketch2garment/callback.py

@@ -0,0 +1,35 @@
+import logging
+
+import httpx
+
+logger = logging.getLogger("app")
+
+
+async def notify_callback(callback_url: str, task_id: str, status: str, result: dict, ):
+    """
+    调用客户端提供的回调接口
+    """
+    try:
+        payload = {
+            "task_id": task_id,
+            "status": status,
+            "result": result
+        }
+        logger.info(payload)
+        async with httpx.AsyncClient(timeout=30.0) as client:
+            resp = await client.post(
+                str(callback_url),
+                json=payload,
+                headers={"Content-Type": "application/json"}
+            )
+
+            if 200 <= resp.status_code < 300:
+                logger.info(f"回调成功 | task_id: {task_id} | status: {status} | url: {callback_url}")
+                return True
+            else:
+                logger.warning(f"回调返回非2xx状态码 | task_id: {task_id} | status: {resp.status_code} | url: {callback_url}")
+                return False
+
+    except Exception as e:
+        logger.error(f"回调失败 | task_id: {task_id} | url: {callback_url} | error: {e}", exc_info=True)
+        return False

app/service/sketch2garment/celery_app.py

@@ -0,0 +1,46 @@
+from celery import Celery
+from kombu import Queue, Exchange
+
+from app.core.config import settings
+
+celery_app = Celery(
+    "sketch_to_garment",
+    broker=f"redis://{settings.REDIS_HOST}:{settings.REDIS_PORT}/2",
+    backend=f"redis://{settings.REDIS_HOST}:{settings.REDIS_PORT}/{settings.REDIS_DB}",
+    include=["app.service.sketch2garment.tasks"]
+)
+print(f"redis://{settings.REDIS_HOST}:{settings.REDIS_PORT}/3")
+print(f"celery_app: {celery_app}")
+
+celery_app.conf.update(
+    task_serializer="json",
+    accept_content=["json"],
+    result_serializer="json",
+    timezone="Asia/Hong_Kong",
+    enable_utc=True,
+    task_track_started=True,
+    task_time_limit=300,  # 单个任务最长 5 分钟
+    task_soft_time_limit=280,
+    # 定义队列
+    task_queues=(
+        Queue("sketch_to_garment_queue",
+              exchange=Exchange("sketch_to_garment_exchange", type="direct"),
+              durable=True),
+
+    ),
+
+    task_routes={
+        'app.service.sketch2garment.tasks.sketch_to_garment':
+            {
+                'queue': 'sketch_to_garment_queue',
+                'exchange': 'sketch_to_garment_exchange',  # ← 修改这里
+            },
+    },
+    task_default_queue="sketch_to_garment_queue",
+
+    worker_concurrency=1,
+    worker_prefetch_multiplier=1,
+    worker_max_tasks_per_child=1,
+    task_acks_late=True,
+    task_reject_on_worker_lost=True,
+)

app/service/sketch2garment/server.py

@@ -0,0 +1,44 @@
+import logging
+
+from app.service.sketch2garment.tasks import sketch_to_garment
+
+logger = logging.getLogger(__name__)
+
+
+def submit_sketch_to_garment_task(model: str = "single", task_id: str = "", callback_url: str = "", bucket_name: str = "test", user_id: str = "123", input_image_path: str = ""):
+    """提交 img_to_3D 任务（带队列长度限制）"""
+    queue_name = "img_to_3d_queue"
+    max_queue_length = 10
+
+    try:
+        # current_length = get_queue_length(queue_name)
+
+        # if current_length >= max_queue_length:
+        #     return {
+        #         "state": "queue_full",
+        #         "message": "当前 3D 生成请求较多，请稍后重试。",
+        #         "queue_length": current_length,
+        #         "max_length": max_queue_length
+        #     }
+
+        # 提交任务
+        task = sketch_to_garment.apply_async(
+            args=(task_id, callback_url, bucket_name, input_image_path, user_id, model),
+            task_id=task_id,
+            queue="sketch_to_garment_queue")
+
+        # logger.info(f"img_to_3d_task 已提交 | task_id: {task_id} | 当前队列长度: {current_length}")
+
+        return {
+            "state": "success",
+            "task_id": task_id,
+            "message": "任务已成功提交，正在后台处理...",
+        }
+
+    except Exception as e:
+        logger.error(f"提交 img_to_3d_task 失败: {e}", exc_info=True)
+        return {
+            "state": "fail",
+            "message": "提交失败，请稍后重试。",
+            "error": str(e)
+        }

app/service/sketch2garment/tasks.py

@@ -0,0 +1,57 @@
+import asyncio
+import logging
+
+from app.core.config import settings
+from app.service.sketch2garment.callback import notify_callback
+import httpx
+
+from app.service.sketch2garment.celery_app import celery_app
+
+logger = logging.getLogger(__name__)
+
+
+@celery_app.task(bind=True, queue="sketch_to_garment_queue", max_retries=3, name='app.service.sketch2garment.tasks.sketch_to_garment')
+def sketch_to_garment(self, task_id: str, callback_url: str, bucket_name: str, input_image_path: str, user_id: str, category: str = None):
+    payload = {
+        "bucket_name": bucket_name,
+        "category": category or settings.DEFAULT_CATEGORY,
+        "input_image_path": input_image_path,
+        "user_id": user_id
+    }
+    logger.info(f"payload: {payload}")
+
+    try:
+        with httpx.Client(timeout=300.0) as client:  # 注意这里用 AsyncClient 配合 Celery
+            # 如果你的 LitServe 是同步 endpoint，也可以用 httpx.Client()
+            response = client.post(settings.SKETCH_TO_GARMENT_URL, json=payload)
+            if response.status_code == 200:
+                result = response.json()
+                result_json = {
+                    "pattern": result[1],
+                    "texture": result[2],
+                    "glb": result[3],
+                    "texture_fabric": result[4]
+                }
+                asyncio.run(
+                    notify_callback(callback_url=callback_url, task_id=task_id, result=result_json, status="success")
+                )
+            else:
+                asyncio.run(
+                    notify_callback(
+                        callback_url=callback_url,
+                        task_id=task_id,
+                        result={
+                            "status": "fail",
+                            "task_id": task_id,
+                            "message": "fail",
+                            "error": "fail"
+                        },
+                        status="fail")
+                )
+    except Exception as e:
+        return {
+            "status": "failed",
+            "task_id": task_id,
+            "input": payload,
+            "error": str(e)
+        }

pyproject.toml

@@ -24,6 +24,7 @@ dependencies = [
     "loguru>=0.7.3",
     "minio>=7.2.20",
     "moviepy==1.0.3",
+    "nacos-sdk-python==2.0.1",
     "np>=1.0.2",
     "numpy<2",
     "ollama>=0.6.1",

uv.lock

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 ]
 
+[[package]]
+name = "aiofiles"
+version = "25.1.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/41/c3/534eac40372d8ee36ef40df62ec129bee4fdb5ad9706e58a29be53b2c970/aiofiles-25.1.0.tar.gz", hash = "sha256:a8d728f0a29de45dc521f18f07297428d56992a742f0cd2701ba86e44d23d5b2", size = 46354, upload-time = "2025-10-09T20:51:04.358Z" }
+wheels = [
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+]
+
 [[package]]
 name = "aiohappyeyeballs"
 version = "2.6.1"
@@ -131,6 +140,154 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/fb/76/641ae371508676492379f16e2fa48f4e2c11741bd63c48be4b12a6b09cba/aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e", size = 7490, upload-time = "2025-07-03T22:54:42.156Z" },
 ]
 
+[[package]]
+name = "alibabacloud-credentials"
+version = "0.3.6"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "alibabacloud-tea" },
+]
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+
+[[package]]
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+version = "0.1.0"
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+
+[[package]]
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+
+[[package]]
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+
+[[package]]
+name = "alibabacloud-darabonba-signature-util"
+version = "0.0.4"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "cryptography" },
+]
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+
+[[package]]
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+[[package]]
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+    { name = "alibabacloud-darabonba-array" },
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+
 [[package]]
 name = "amqp"
 version = "5.3.1"
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+[[package]]
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@@ -3165,6 +3358,7 @@ dependencies = [
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     { name = "minio" },
     { name = "moviepy" },
+    { name = "nacos-sdk-python" },
     { name = "np" },
     { name = "numpy" },
     { name = "ollama" },
@@ -3216,6 +3410,7 @@ requires-dist = [
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     { name = "moviepy", specifier = "==1.0.3" },
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