Update scoring_calculation_system.py

scoring_calculation_system.py

@@ -211,7 +211,6 @@ def calculate_compatibility_score(breed_info: dict, user_prefs: UserPreferences)
         print(f"Processing breed: {breed_info.get('Breed', 'Unknown')}")
         print(f"Breed info keys: {breed_info.keys()}")
         
-        # 在計算每個分數之前添加檢查
         if 'Size' not in breed_info:
             print("Missing Size information")
             raise KeyError("Size information missing")
@@ -249,7 +248,6 @@ def calculate_compatibility_score(breed_info: dict, user_prefs: UserPreferences)
 
         def calculate_exercise_score(breed_needs: str, user_time: int) -> float:
             """運動需求計算"""
-            # 更精確的運動需求定義
             exercise_needs = {
                 'VERY HIGH': {'min': 120, 'ideal': 150, 'max': 180},
                 'HIGH': {'min': 90, 'ideal': 120, 'max': 150},
@@ -293,51 +291,7 @@ def calculate_compatibility_score(breed_info: dict, user_prefs: UserPreferences)
                 base_score = max(0.2, base_score + adjustment)
                 
             return base_score
-
-        # def calculate_experience_score(care_level: str, user_experience: str, temperament: str) -> float:
-        #     """飼養經驗需求計算"""
-        #     # 降低初學者的基礎分數
-        #     base_scores = {
-        #         "High": {"beginner": 0.15, "intermediate": 0.70, "advanced": 1.0},     
-        #         "Moderate": {"beginner": 0.40, "intermediate": 0.85, "advanced": 1.0}, 
-        #         "Low": {"beginner": 0.75, "intermediate": 0.95, "advanced": 1.0}       
-        #     }
-            
-        #     score = base_scores.get(care_level, base_scores["Moderate"])[user_experience]
-            
-        #     # 擴展性格特徵評估
-        #     temperament_lower = temperament.lower()
-            
-        #     if user_experience == "beginner":
-        #         # 增加更多特徵評估
-        #         difficult_traits = {
-        #             'stubborn': -0.12,     
-        #             'independent': -0.10,
-        #             'dominant': -0.10,
-        #             'strong-willed': -0.08,
-        #             'protective': -0.06,     
-        #             'energetic': -0.05      
-        #         }
-                
-        #         easy_traits = {
-        #             'gentle': 0.06,         
-        #             'friendly': 0.06,
-        #             'eager to please': 0.06,
-        #             'patient': 0.05,
-        #             'adaptable': 0.05,      
-        #             'calm': 0.04           
-        #         }
-                
-        #         # 更精確的特徵影響計算
-        #         temperament_adjustments = sum(value for trait, value in easy_traits.items() if trait in temperament_lower)
-        #         temperament_adjustments += sum(value for trait, value in difficult_traits.items() if trait in temperament_lower)
-                
-        #         # 品種特定調整
-        #         if "terrier" in breed_info['Description'].lower():
-        #             temperament_adjustments -= 0.1  # 梗類犬對新手不友善
             
-        #     final_score = max(0.2, min(1.0, score + temperament_adjustments))
-        #     return final_score
 
         def calculate_experience_score(care_level: str, user_experience: str, temperament: str) -> float:
             """飼養經驗需求計算"""