feat：1.通过请求数量区分刷新(num=1)和正常推荐(num>1)

.gitignore

@@ -7,3 +7,4 @@ data/
 *.toml
 .prod_env
 google_application_credentials.json
+*.bash

app/server/ChatbotAgent/agent_server.py

@@ -56,7 +56,6 @@ class AgentRequestModel(BaseModel):
     batch_sources: List[str]
     callback_url: str
     gender: str
-    is_first_request: bool
 
 
 class LCAgent(ls.LitAPI):
@@ -120,8 +119,7 @@ class LCAgent(ls.LitAPI):
             user_id=request.user_id,
             gender=request.gender,
             callback_url=request.callback_url,
-            outfit_ids=outfit_ids,
-            is_first_request=request.is_first_request
+            outfit_ids=outfit_ids
         )
         logger.info("--- Final Recommendation Results ---")
         for i, path in enumerate(recommendation_results.get("successful_outfits", [])):
@@ -174,8 +172,7 @@ class LCAgent(ls.LitAPI):
             user_id: str = "test",
             gender: str = "male",
             callback_url: str = None,
-            outfit_ids=None,
-            is_first_request=False
+            outfit_ids=None
     ):
         """
         基于用户的对话历史和需求，推荐一套搭配。
@@ -190,33 +187,52 @@ class LCAgent(ls.LitAPI):
         task_map = {}
 
         stylist_agent_kwages = self.stylist_agent_kwages.copy()
-        for i in range(num_outfits):
-            stylist_agent_kwages['outfit_id'] = outfit_ids[i]
+        if num_outfits == 1:
+            # 通过请求数量判断 num == 1 单个outfit刷新
+            stylist_agent_kwages['outfit_id'] = outfit_ids[0]
             stylist_agent_kwages['stylist_name'] = stylist_name
             stylist_agent_kwages['gender'] = gender
             agent = AsyncStylistAgent(**stylist_agent_kwages)
-            if is_first_request:
-                # 第一套搭配使用快速方法 一次跑出所有单品
-                task = agent.run_quick_batch_styling(
-                    request_summary=request_summary,
-                    occasions=occasions,
-                    start_outfit=start_outfit,
-                    batch_sources=batch_sources,
-                    user_id=user_id,
-                    callback_url=callback_url,
-                )
-            else:
-                # 后续
-                task = agent.run_iterative_styling(
-                    request_summary=request_summary,
-                    occasions=occasions,
-                    start_outfit=start_outfit,
-                    batch_sources=batch_sources,
-                    user_id=user_id,
-                    callback_url=callback_url,
-                )
+            task = agent.run_iterative_styling(
+                request_summary=request_summary,
+                occasions=occasions,
+                start_outfit=start_outfit,
+                batch_sources=batch_sources,
+                user_id=user_id,
+                callback_url=callback_url,
+            )
             tasks.append(task)
-            task_map[task] = {"outfit_id": outfit_ids[i], "retries": 0}
+            task_map[task] = {"outfit_id": outfit_ids[0], "retries": 0}
+        elif num_outfits > 1:
+            # 通过请求数量判断 num > 1 四套搭配推荐 (1快 , num-1慢)
+            for i in range(num_outfits):
+                stylist_agent_kwages['outfit_id'] = outfit_ids[i]
+                stylist_agent_kwages['stylist_name'] = stylist_name
+                stylist_agent_kwages['gender'] = gender
+                agent = AsyncStylistAgent(**stylist_agent_kwages)
+                if i == 0:
+                    # 第一套搭配使用快速方法 一次跑出所有单品
+                    logger.info(f"fast request outfit_id is : {outfit_ids[i]}")
+                    task = agent.run_quick_batch_styling(
+                        request_summary=request_summary,
+                        occasions=occasions,
+                        start_outfit=start_outfit,
+                        batch_sources=batch_sources,
+                        user_id=user_id,
+                        callback_url=callback_url,
+                    )
+                else:
+                    # 后续
+                    task = agent.run_iterative_styling(
+                        request_summary=request_summary,
+                        occasions=occasions,
+                        start_outfit=start_outfit,
+                        batch_sources=batch_sources,
+                        user_id=user_id,
+                        callback_url=callback_url,
+                    )
+                tasks.append(task)
+                task_map[task] = {"outfit_id": outfit_ids[i], "retries": 0}
         logger.info(f"--- Starting {num_outfits} concurrent outfit generation tasks. ---")
 
         # 2. 任务执行与重试循环