[MNT] Convert dist_list to score_list

examples/example_market_db/example_db.py

@@ -159,11 +159,11 @@ def test_stat_search():
         user_info = BaseUserInfo(
             id="user_0", semantic_spec=user_senmantic, stat_info={"RKMEStatSpecification": user_spec}
         )
-        sorted_dist_list, single_learnware_list, mixture_learnware_list = easy_market.search_learnware(user_info)
+        sorted_score_list, single_learnware_list, mixture_learnware_list = easy_market.search_learnware(user_info)
 
         print(f"search result of user{idx}:")
-        for dist, learnware in zip(sorted_dist_list, single_learnware_list):
-            print(f"dist: {dist}, learnware_id: {learnware.id}")
+        for score, learnware in zip(sorted_score_list, single_learnware_list):
+            print(f"score: {score}, learnware_id: {learnware.id}")
         mixture_id = " ".join([learnware.id for learnware in mixture_learnware_list])
         print(f"mixture_learnware: {mixture_id}\n")
 

learnware/market/easy.py

@@ -123,6 +123,24 @@ class EasyMarket(BaseMarket):
                 folder_path=target_folder_dir,
             )
             return id, True
+    
+    def _convert_dist_to_score(self, dist_list: List[float]) -> List[float]:
+        """Convert mmd dist list into min_max score list
+
+        Parameters
+        ----------
+        dist_list : List[float]
+            The list of mmd distances from learnware rkmes to user rkme
+
+        Returns
+        -------
+        List[float]
+            The list of min_max scores of each learnware
+        """
+        score_list = [(max(dist_list) - dist) / (max(dist_list) - min(dist_list)) for dist in dist_list]
+
+        return score_list
+        
 
     def _calculate_rkme_spec_mixture_weight(
         self,
@@ -244,7 +262,7 @@ class EasyMarket(BaseMarket):
         learnware_num = len(learnware_list)
         if learnware_num == 0:
             return [], []
-        if learnware_num <  search_num:
+        if learnware_num < search_num:
             logger.warning("Available Learnware num less than search_num")
             search_num = learnware_num
 
@@ -382,10 +400,11 @@ class EasyMarket(BaseMarket):
         else:
             user_rkme = user_info.stat_info["RKMEStatSpecification"]
             sorted_dist_list, single_learnware_list = self._search_by_rkme_spec_single(learnware_list, user_rkme)
+            sorted_score_list = self._convert_dist_to_score(sorted_dist_list)
             weight_list, mixture_learnware_list = self._search_by_rkme_spec_mixture(
                 learnware_list, user_rkme, search_num
             )
-            return sorted_dist_list, single_learnware_list, mixture_learnware_list
+            return sorted_score_list, single_learnware_list, mixture_learnware_list
 
     def delete_learnware(self, id: str) -> bool:
         """Delete Learnware from market