Update scoring_calculation_system.py

scoring_calculation_system.py

@@ -943,27 +943,43 @@ def calculate_compatibility_score(breed_info: dict, user_prefs: UserPreferences)
         if user_prefs.has_children:
             family_safety = calculate_family_safety_score(breed_info, user_prefs.children_age)
             
-            # 根據家庭安全分數調整其他分數
-            # 空間適應性調整：大型犬在有幼童時需要更多考慮
-            scores['space'] *= (0.7 + (family_safety * 0.3))
+            # 根據孩童年齡設定不同的調整強度
+            age_adjustments = {
+                'toddler': {
+                    'space': (0.5, 0.5),      # (基礎係數, 安全係數權重)
+                    'experience': (0.4, 0.6),  # 幼童需要更嚴格的經驗要求
+                    'exercise': (0.6, 0.4),
+                    'noise': (0.5, 0.5)
+                },
+                'school_age': {
+                    'space': (0.6, 0.4),
+                    'experience': (0.5, 0.5),
+                    'exercise': (0.7, 0.3),
+                    'noise': (0.6, 0.4)
+                },
+                'teenager': {
+                    'space': (0.7, 0.3),
+                    'experience': (0.6, 0.4),
+                    'exercise': (0.8, 0.2),
+                    'noise': (0.7, 0.3)
+                }
+            }
             
-            # 經驗需求調整：有孩童時經驗要求提高
-            scores['experience'] *= (0.6 + (family_safety * 0.4))
+            adjustments = age_adjustments[user_prefs.children_age]
             
-            # 運動需求調整：過於活潑的品種需要更謹慎
-            scores['exercise'] *= (0.8 + (family_safety * 0.2))
+            # 應用更嚴格的調整
+            for category, (base_coef, safety_weight) in adjustments.items():
+                scores[category] *= (base_coef + (family_safety * safety_weight))
             
-            # 噪音容忍度調整：對幼童更敏感
-            scores['noise'] *= (0.7 + (family_safety * 0.3))
-
-        # 計算加權總分
+            # 品種加分也需要根據年齡組進行調整
+            breed_bonus_adjustments = {
+                'toddler': 0.4,      # 幼童情況下品種加分影響最小
+                'school_age': 0.6,
+                'teenager': 0.8
+            }
+            breed_bonus *= (breed_bonus_adjustments[user_prefs.children_age] * family_safety)
+        
         weighted_score = sum(score * weights[category] for category, score in scores.items())
-
-        # 加入品種額外加分的影響
-        breed_bonus = calculate_breed_bonus(breed_info, user_prefs)
-        # 如果有孩童，品種加分的影響要考慮家庭因素
-        if user_prefs.has_children:
-            breed_bonus *= family_safety
         weighted_score *= (1 + breed_bonus * 0.2)
 
         def amplify_score(score):