feat(search): retrieve and parse both similar_items and outfit_recommendations

backend/agent/tools/tool_module/search_engine.py

@@ -46,6 +46,7 @@ SELECT_COLUMNS = """
     description_text,
     tags,
     similar_items,
+    outfit_recommendations,
     description_text_full
 """
 
@@ -346,6 +347,20 @@ class SearchEngine:
                 p["similar_items"] = []
         return products
 
+    @staticmethod
+    def _parse_outfit_recommendations(products: list) -> list:
+        """Parse outfit_recommendations JSON string from One Big Table into list[dict]."""
+        for p in products:
+            raw = p.get("outfit_recommendations")
+            if raw and isinstance(raw, str):
+                try:
+                    p["outfit_recommendations"] = json.loads(raw)
+                except (json.JSONDecodeError, TypeError):
+                    p["outfit_recommendations"] = []
+            elif not raw:
+                p["outfit_recommendations"] = []
+        return products
+
     async def search(self, literal: str, inferred: Dict[str, Any], check_stock: bool = True) -> Dict[str, Any]:
         inf = InferredSearch(**inferred)
         _apply_event_fallback(inf, literal)
@@ -364,6 +379,7 @@ class SearchEngine:
         if products:
             if check_stock: products = await enrich_with_stock(products)
             products = self._parse_similar_items(products)
+            products = self._parse_outfit_recommendations(products)
             for p in products:
                 raw_size = p.get("size_scale", "")
                 parsed = [s.strip() for s in str(raw_size).replace("[", "").replace("]", "").replace('"', '').split(",") if s.strip()]