ADD function, brand restriction

.gitignore

@@ -8,3 +8,4 @@ data/
 .prod_env
 google_application_credentials.json
 *.bash
+app/google_application_credentials.json

app/server/ChatbotAgent/agent_server.py

@@ -320,14 +320,19 @@ if __name__ == "__main__":
         # 2. 准备请求数据
         import json
         stylist_agent_kwages = agent_api.stylist_agent_kwages.copy()
-        with open("/mnt/data/workspace/Code/lc_stylist_agent/data/2025_q4/request_test.json", "r") as f:
+        if settings.LOCAL == 1:
+            request_file_path = "./data/2025_q4/request_test.json"
+        else:
+            request_file_path = "/mnt/data/workspace/Code/lc_stylist_agent/data/2025_q4/request_test.json"
+        
+        with open(request_file_path, "r") as f:
             request_data = json.load(f)
 
         tasks_with_metadata = []
-        for test_content in request_data[20:25]:
+        for test_content in request_data[0:10]:
             occasions = test_content['occasions']
             request_summary = test_content['request_summary']
-            for stylist_name in ["edi", "vera"]:
+            for stylist_name in ["quincy"]:
                 stylist_agent_kwages['outfit_id'] = test_content['test_case_id'] + "_" + "_".join(occasions) + f"_{stylist_name}"
                 stylist_agent_kwages['stylist_name'] = stylist_name
                 stylist_agent_kwages['gender'] = "female"

app/server/ChatbotAgent/core/stylist_agent_server.py

@@ -200,6 +200,7 @@ class AsyncStylistAgent:
             "category": best_meta['category'],
             'description': best_meta['description'],
             "subcategory": best_meta['subcategory'],
+            "brand": best_meta['brand'],
             "gpt_description": item_description,
             "gpt_subcategory": subcategory,
             # 假设 'item_path' 存储在 metadata 中，或从 'item_id' 推导

app/server/ChatbotAgent/core/vector_database.py

@@ -5,7 +5,7 @@ from PIL import Image
 from typing import List, Dict, Any
 from transformers import CLIPProcessor, CLIPModel
 
-from app.taxonomy import OCCASION, CATEGORY_LIST, IGNORE_SUBCATEGORY
+from app.taxonomy import OCCASION, CATEGORY_LIST, IGNORE_SUBCATEGORY, BRAND_WHITELIST
 
 
 class VectorDatabase():
@@ -59,6 +59,12 @@ class VectorDatabase():
             ]},
             {"subcategory": {"$nin": IGNORE_SUBCATEGORY}}
         ]
+
+        # 加了一条限制，但是部署到生产的时候把他设定为False
+        brand_strication = True
+        if brand_strication:
+            and_conditions.append({"brand": {"$in": BRAND_WHITELIST}})
+
         if batch_sources and len(batch_sources) > 0:
             if len(batch_sources) == 1:
                 and_conditions.append({"batch_source": batch_sources[0]})

app/taxonomy.py

@@ -92,3 +92,42 @@ CATEGORY_LIST = list(FASHION_TAXONOMY.keys())
 ALL_SUBCATEGORY_LIST = sum(FASHION_TAXONOMY.values(), [])
 
 IGNORE_SUBCATEGORY = ['socks']
+
+BRAND_WHITELIST = [
+    "ALAÏA",
+    "BALENCIAGA",
+    "BALMAIN",
+    "BARBOUR",
+    "BOTTEGA VENETA",
+    "BRUNELLO CUCINELLI",
+    "ALEXANDERWANG",
+    "CHLOÉ",
+    "DIOR",
+    "FEAR OF GOD",
+    "FENDI",
+    "GIA STUDIOS",
+    "GUCCI",
+    "HELMUT LANG",
+    "JACQUEMUS",
+    "JIMMY CHOO",
+    "JW ANDERSON",
+    "KHAITE",
+    "LEMAIRE",
+    "LOEWE",
+    "MAISON MARGIELA",
+    "MIU MIU",
+    "MM6 MAISON MARGIELA",
+    "MONCLER",
+    "PEDDER RED",
+    "PETER DO",
+    "PHOEBE PHILO",
+    "PRADA",
+    "RICK OWENS",
+    "SACAI",
+    "SKIMS",
+    "THE ROW",
+    "THEORY",
+    "THOM BROWNE",
+    "THE FRANKIE SHOP",
+    "TOTEME",
+]

stylist_guide/quincy_acc.md

@@ -0,0 +1,4 @@
+# Accessory Guide
+## Prohibitions
+1. Watches: No watches are permitted in any outfit.
+2. Hats: The use of hats is strictly prohibited.

stylist_guide/quincy_en.md

@@ -0,0 +1,7 @@
+# Outfit Style Guide
+1. Limit outfit in three main colours with same colour tone
+2. Could be two neutrals and one accent colour
+3. Do not show any mid-calf length pants
+4. Cropped pants pair with loafers, or ankle boots
+5. Loose on top pair with fitted bottom
+6. Fitted top pair with loose bottom