新增 取消agent配饰（保留鞋子）推荐，改为默认随机配饰搭配

app/server/ChatbotAgent/core/stylist_agent_server.py

@@ -20,9 +20,9 @@ logger = logging.getLogger(__name__)
 
 class AsyncStylistAgent:
     CATEGORY_SET = {
-        'Activewear', 'Dresses', 'Outerwear', 'Pants', 'Shirts & Tops', 'Skirts', 'Suits', 'Swimwear', 'Underwear'
+        'Activewear', 'Dresses', 'Outerwear', 'Pants', 'Shirts & Tops', 'Skirts', 'Suits', 'Swimwear', 'Underwear', 'Shoes',
         # 取消推荐配饰
-        # , 'Watches', 'Shopping Totes', 'Sunglasses', 'Handbags', 'Backpacks', 'Belts', 'Hats', 'Jewelry', 'Briefcases', 'Socks', 'Neckties', 'Shoes', 'Scarves & Shawls'
+        # , 'Watches', 'Shopping Totes', 'Sunglasses', 'Handbags', 'Backpacks', 'Belts', 'Hats', 'Jewelry', 'Briefcases', 'Socks', 'Neckties',  'Scarves & Shawls'
     }
     CATEGORY_SET_ALL = {
         'Activewear', 'Dresses', 'Outerwear', 'Pants', 'Shirts & Tops', 'Skirts', 'Suits', 'Swimwear', 'Underwear',
@@ -108,8 +108,8 @@ class AsyncStylistAgent:
 
         ## Your Workflow and Constraints
 
-        1.  **Style Adherence**: You must strictly observe all rules in the Style Guide concerning **color palette, fit, layering principles, pattern restrictions coordination**.
-        2.  **Step Planning**: The styling sequence must follow a **top-down, inside-out** approach:  major garments (tops/outerwear/bottoms/dresses).
+        1.  **Style Adherence**: You must strictly observe all rules in the Style Guide concerning **color palette, fit, layering principles, pattern restrictions , shoe coordination**.
+        2.  **Step Planning**: The styling sequence must follow a **top-down, inside-out** approach: First major garments (tops/outerwear/bottoms/dresses)  then shoes.
         3.  **Structured Output**: Every response must recommend the **next single item**. You must strictly use the **JSON format** for your output, as follows:
 
         ```json
@@ -129,7 +129,10 @@ class AsyncStylistAgent:
             * **Role in the Outfit** (e.g., serves as the innermost base layer for layering; acts as the crucial tie accent for the smart casual look)
 
         4.  **Termination Condition**: Only when you deem the entire outfit complete and **all mandatory elements stipulated in the Style Guide are met**, you must output the following JSON format to terminate the process:
-
+start 10:59:36,396
+fitst image 10:59:51,551
+fitst 完成11:00:34,672
+all 完成11:02:57,355
         ```json
         {{
         "action": "stop",
@@ -260,7 +263,7 @@ class AsyncStylistAgent:
             print(f"An error occurred during item retrieval: {e}")
             return None
 
-    def _get_random_accessories(self):
+    async def _get_random_accessories(self):
         results = self.local_db.random_get_accessories()
 
         # 3. 模拟 Agent 审核(实际应用中,你需要将图片发回给 Agent进行审核)
@@ -343,7 +346,7 @@ class AsyncStylistAgent:
                 logger.info(f"request data ：{response_data} | JAVA callback info -> status:{response.status_code} | message:{response.text}")
 
                 # 新增配饰
-                new_item = self._get_random_accessories()
+                new_item = await self._get_random_accessories()
                 self.outfit_items.append(new_item)
                 user_input = self._build_user_input()
                 gemini_response_text, response_data['path'] = await self._call_gemini(user_input, user_id)
@@ -425,7 +428,7 @@ class AsyncStylistAgent:
                 logger.info(f"request data ：{response_data} | JAVA callback info -> status:{response.status_code} | message:{response.text}")
 
                 #  新增配饰
-                new_item = self._get_random_accessories()
+                new_item = await self._get_random_accessories()
                 self.outfit_items.append(new_item)
                 user_input = self._build_user_input()
                 gemini_response_text, response_data['path'] = await self._call_gemini(user_input, user_id)

app/server/ChatbotAgent/core/system_prompt.py

@@ -53,4 +53,4 @@ JSON FIELD REQUIREMENTS:
 -   **style (string):** The overall aesthetic description (e.g., "Classic elegance", "Modern minimalist", "Bohemian vibe", "Edgy and contemporary").
 -   **color_preference (string or list):** User's preferred or excluded colors/tones (e.g., "Light colors only", "Avoid deep shades", "['Cream', 'Pale Blue']", "No preference").
 -   **clothing_type (string):** User's preference for specific garment types, material, or silhouette (e.g., "Lightweight maxi dress", "Skirt with silk blouse", "Tailored wide-leg pants", "Floral print").
--   **vibe_or_details (string):** Any other details, mood requirements, or specific constraints (e.g., "Needs to be comfortable and breathable", "Accent on accessories", "Must cover shoulders")."""
+-   **vibe_or_details (string):** Any other details, mood requirements, or specific constraints (e.g., "Needs to be comfortable and breathable", "Must cover shoulders")."""

app/server/ChatbotAgent/core/vector_database.py

@@ -68,6 +68,7 @@ class VectorDatabase():
         FILTER_CRITERIA = {
             "$and": [
                 {"item_group_id": {"$ne": "Clothing"}},
+                {"item_group_id": {"$ne": "Shoes"}},  # 新增：过滤 Shoes
                 {"modality": "image"},
             ]
         }