diff --git a/app/service/generate_image/service_pose_transform.py b/app/service/generate_image/service_pose_transform.py
index 07da8de..2bd81ac 100644
--- a/app/service/generate_image/service_pose_transform.py
+++ b/app/service/generate_image/service_pose_transform.py
@@ -29,9 +29,6 @@ logger = logging.getLogger()
 
 class PoseTransformService:
     def __init__(self, request_data):
-        if DEBUG is False:
-            self.connection = pika.BlockingConnection(pika.ConnectionParameters(**RABBITMQ_PARAMS))
-            self.channel = self.connection.channel()
         self.grpc_client = grpcclient.InferenceServerClient(url=PT_MODEL_URL)
         self.redis_client = redis.StrictRedis(host=REDIS_HOST, port=REDIS_PORT, db=REDIS_DB, decode_responses=True)
         self.category = "pose_transform"
@@ -40,7 +37,8 @@ class PoseTransformService:
         self.image = pre_processing_image(request_data.image_url)
         self.tasks_id = request_data.tasks_id
         self.user_id = self.tasks_id[self.tasks_id.rfind('-') + 1:]
-        self.pose_transform_data = {'tasks_id': self.tasks_id, 'status': 'PENDING', 'message': "pending", 'gif_url': '', 'video_url': '', 'image_url': ''}
+        self.pose_transform_data = {'tasks_id': self.tasks_id, 'status': 'PENDING', 'message': "pending", 'gif_url': '',
+                                    'video_url': '', 'image_url': ''}
 
         self.redis_client.set(self.tasks_id, json.dumps(self.pose_transform_data))
         self.redis_client.expire(self.tasks_id, 600)
@@ -55,16 +53,20 @@ class PoseTransformService:
 
             # 第一帧图像
             first_image = Image.fromarray(result_data[0])
-            first_image_url = upload_first_image(first_image, user_id=self.user_id, category=f"{self.category}_first_img", file_name=f"{self.tasks_id}.png")
+            first_image_url = upload_first_image(first_image, user_id=self.user_id,
+                                                 category=f"{self.category}_first_img",
+                                                 file_name=f"{self.tasks_id}.png")
 
             # 上传GIF
             gif_buffer = BytesIO()
             imageio.mimsave(gif_buffer, result_data, format='GIF', fps=5)
             gif_buffer.seek(0)
-            gif_url = upload_gif(gif_buffer=gif_buffer, user_id=self.user_id, category=f"{self.category}_gif", file_name=f"{self.tasks_id}.gif")
+            gif_url = upload_gif(gif_buffer=gif_buffer, user_id=self.user_id, category=f"{self.category}_gif",
+                                 file_name=f"{self.tasks_id}.gif")
 
             # 上传video
-            video_url = upload_video(frames=result_data, user_id=self.user_id, category=f"{self.category}_video", file_name=f"{self.tasks_id}.mp4")
+            video_url = upload_video(frames=result_data, user_id=self.user_id, category=f"{self.category}_video",
+                                     file_name=f"{self.tasks_id}.mp4")
 
             self.pose_transform_data['status'] = "SUCCESS"
             self.pose_transform_data['message'] = "success"
@@ -82,7 +84,8 @@ class PoseTransformService:
         try:
             pose_num = [self.pose_num] * 1
             pose_num_obj = np.array(pose_num, dtype="object").reshape((-1, 1))
-            input_pose_num = grpcclient.InferInput("pose_num", pose_num_obj.shape, np_to_triton_dtype(pose_num_obj.dtype))
+            input_pose_num = grpcclient.InferInput("pose_num", pose_num_obj.shape,
+                                                   np_to_triton_dtype(pose_num_obj.dtype))
             input_pose_num.set_data_from_numpy(pose_num_obj)
 
             image_files = [self.image.astype(np.uint8)] * 1
@@ -90,7 +93,8 @@ class PoseTransformService:
             input_image_files = grpcclient.InferInput("image_file", image_files_obj.shape, "UINT8")
             input_image_files.set_data_from_numpy(image_files_obj)
 
-            ctx = self.grpc_client.async_infer(model_name="animatex_1", inputs=[input_pose_num, input_image_files], callback=self.callback, client_timeout=60000)
+            ctx = self.grpc_client.async_infer(model_name="animatex_1", inputs=[input_pose_num, input_image_files],
+                                               callback=self.callback, client_timeout=60000)
             time_out = 60000
             while time_out > 0:
                 pose_transform_data, _ = self.read_tasks_status()
@@ -111,9 +115,22 @@ class PoseTransformService:
         finally:
             dict_pose_transform_data, str_pose_transform_data = self.read_tasks_status()
             if DEBUG is False:
-                self.channel.basic_publish(exchange='', routing_key=PS_RABBITMQ_QUEUES, body=str_pose_transform_data)
-                self.connection.close()
-            logger.info(f" [x] Sent to： {PS_RABBITMQ_QUEUES} data：@@@@  {json.dumps(dict_pose_transform_data, indent=4)}")
+                publish_status(str_pose_transform_data)
+            logger.info(
+                f" [x] Sent to： {PS_RABBITMQ_QUEUES} data：@@@@  {json.dumps(dict_pose_transform_data, indent=4)}")
+
+
+def publish_status(message):
+    connection = pika.BlockingConnection(pika.ConnectionParameters(**RABBITMQ_PARAMS))
+    channel = connection.channel()
+    channel.queue_declare(queue=PS_RABBITMQ_QUEUES, durable=True)
+    channel.basic_publish(exchange='',
+                          routing_key=PS_RABBITMQ_QUEUES,
+                          body=json.dumps(message),
+                          properties=pika.BasicProperties(
+                              delivery_mode=2,
+                          ))
+    connection.close()
 
 
 def infer_cancel(tasks_id):
@@ -125,7 +142,8 @@ def infer_cancel(tasks_id):
 
 
 def pre_processing_image(image_url):
-    image = oss_get_image(bucket=image_url.split('/')[0], object_name=image_url[image_url.find('/') + 1:], data_type="PIL")
+    image = oss_get_image(bucket=image_url.split('/')[0], object_name=image_url[image_url.find('/') + 1:],
+                          data_type="PIL")
     # 目标图片的尺寸
     target_width = 512
     target_height = 768