Spaces:
Running
on
Zero
Running
on
Zero
Update scoring_calculation_system.py
Browse files
scoring_calculation_system.py
CHANGED
@@ -294,8 +294,56 @@ def calculate_compatibility_score(breed_info: dict, user_prefs: UserPreferences)
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return base_score
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def calculate_experience_score(care_level: str, user_experience: str, temperament: str) -> float:
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"""飼養經驗需求計算"""
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# 降低初學者的基礎分數
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base_scores = {
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"High": {"beginner": 0.15, "intermediate": 0.70, "advanced": 1.0},
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@@ -336,6 +384,20 @@ def calculate_compatibility_score(breed_info: dict, user_prefs: UserPreferences)
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if "terrier" in breed_info['Description'].lower():
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temperament_adjustments -= 0.1 # 梗類犬對新手不友善
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final_score = max(0.2, min(1.0, score + temperament_adjustments))
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return final_score
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return base_score
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# def calculate_experience_score(care_level: str, user_experience: str, temperament: str) -> float:
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# """飼養經驗需求計算"""
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# # 降低初學者的基礎分數
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# base_scores = {
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# "High": {"beginner": 0.15, "intermediate": 0.70, "advanced": 1.0},
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# "Moderate": {"beginner": 0.40, "intermediate": 0.85, "advanced": 1.0},
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# "Low": {"beginner": 0.75, "intermediate": 0.95, "advanced": 1.0}
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# }
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# score = base_scores.get(care_level, base_scores["Moderate"])[user_experience]
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# # 擴展性格特徵評估
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# temperament_lower = temperament.lower()
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# if user_experience == "beginner":
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# # 增加更多特徵評估
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# difficult_traits = {
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# 'stubborn': -0.12,
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# 'independent': -0.10,
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# 'dominant': -0.10,
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# 'strong-willed': -0.08,
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# 'protective': -0.06,
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# 'energetic': -0.05
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# }
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# easy_traits = {
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# 'gentle': 0.06,
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# 'friendly': 0.06,
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# 'eager to please': 0.06,
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# 'patient': 0.05,
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# 'adaptable': 0.05,
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# 'calm': 0.04
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# }
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# # 更精確的特徵影響計算
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# temperament_adjustments = sum(value for trait, value in easy_traits.items() if trait in temperament_lower)
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# temperament_adjustments += sum(value for trait, value in difficult_traits.items() if trait in temperament_lower)
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# # 品種特定調整
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# if "terrier" in breed_info['Description'].lower():
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# temperament_adjustments -= 0.1 # 梗類犬對新手不友善
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# final_score = max(0.2, min(1.0, score + temperament_adjustments))
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# return final_score
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def calculate_experience_score(care_level: str, user_experience: str, temperament: str) -> float:
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"""飼養經驗需求計算"""
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# 初始化 temperament_adjustments,確保所有路徑都有值
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temperament_adjustments = 0.0
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# 降低初學者的基礎分數
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base_scores = {
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"High": {"beginner": 0.15, "intermediate": 0.70, "advanced": 1.0},
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if "terrier" in breed_info['Description'].lower():
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temperament_adjustments -= 0.1 # 梗類犬對新手不友善
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elif user_experience == "intermediate":
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# 中級飼主的調整較溫和
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if any(trait in temperament_lower for trait in ['gentle', 'friendly', 'patient']):
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temperament_adjustments += 0.03
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if any(trait in temperament_lower for trait in ['stubborn', 'independent']):
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temperament_adjustments -= 0.02
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else: # advanced
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# 資深飼主能處理更具挑戰性的犬種
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if any(trait in temperament_lower for trait in ['stubborn', 'independent', 'dominant']):
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temperament_adjustments += 0.02 # 反而可能是優點
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if any(trait in temperament_lower for trait in ['protective', 'energetic']):
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temperament_adjustments += 0.03
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final_score = max(0.2, min(1.0, score + temperament_adjustments))
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return final_score
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