Update breed_recommendation.py

breed_recommendation.py

@@ -215,64 +215,6 @@ def create_recommendation_tab(UserPreferences, get_breed_recommendations, format
                 error_msg = f"Error processing your description. Details: {str(e)}"
                 return [gr.update(value=error_msg), gr.update(visible=False)]
                     
-            #         # 最終分數計算
-            #         is_preferred = smart_rec.get('is_preferred', False)
-            #         base_score = compatibility_scores.get('overall', 0.7)
-            #         smart_score = smart_rec['score']
-                    
-            #         # 根據是否為偏好品種調整分數
-            #         if is_preferred:
-            #             final_score = 0.95  # 確保最高分
-            #         else:
-            #             # 相似品種的分數計算
-            #             final_score = min(0.90, (base_score * 0.6 + smart_score * 0.4))
-                    
-            #         final_recommendations.append({
-            #             'rank': 0,  # 稍後更新
-            #             'breed': breed_name,
-            #             'base_score': round(base_score, 4),
-            #             'smart_match_score': round(smart_score, 4),
-            #             'final_score': round(final_score, 4),
-            #             'scores': compatibility_scores,
-            #             'match_reason': smart_rec['reason'],
-            #             'info': breed_info,
-            #             'noise_info': breed_noise_info.get(breed_name, {}),
-            #             'health_info': breed_health_info.get(breed_name, {})
-            #         })
-                
-            #     # 根據final_score重新排序
-            #     final_recommendations.sort(key=lambda x: (-x['final_score'], x['breed']))
-                
-            #     # 更新排名
-            #     for i, rec in enumerate(final_recommendations, 1):
-            #         rec['rank'] = i
-                
-            #     # 驗證排序
-            #     print("\nFinal Rankings:")
-            #     for rec in final_recommendations:
-            #         print(f"#{rec['rank']} {rec['breed']}")
-            #         print(f"Base Score: {rec['base_score']:.4f}")
-            #         print(f"Smart Match Score: {rec['smart_match_score']:.4f}")
-            #         print(f"Final Score: {rec['final_score']:.4f}")
-            #         print(f"Reason: {rec['match_reason']}\n")
-                    
-            #         # 確保分數按降序排列
-            #         if rec['rank'] > 1:
-            #             prev_score = final_recommendations[rec['rank']-2]['final_score']
-            #             if rec['final_score'] > prev_score:
-            #                 print(f"Warning: Ranking inconsistency detected!")
-            #                 print(f"#{rec['rank']-1} score: {prev_score:.4f}")
-            #                 print(f"#{rec['rank']} score: {rec['final_score']:.4f}")
-
-            #     result = format_recommendation_html(final_recommendations)
-            #     return [gr.update(value=result), gr.update(visible=False)]
-                
-                
-            # except Exception as e:
-            #     error_msg = f"Error processing your description. Details: {str(e)}"
-            #     return [gr.update(value=error_msg), gr.update(visible=False)]
-                
-
         def show_loading():
             return [gr.update(value=""), gr.update(visible=True)]