Delete breed_recommendation.py

breed_recommendation.py

@@ -1,133 +0,0 @@
-from typing import Dict, Any
-import traceback
-import gradio as gr
-from recommendation_html_format import (
-    format_recommendation_html, 
-    get_breed_recommendations
-)
-
-def create_recommendation_tab(UserPreferences, get_breed_recommendations, format_recommendation_html, history_component):
- 
-    with gr.TabItem("Breed Recommendation"):
-        gr.HTML("<p style='text-align: center;'>Tell us about your lifestyle, and we'll recommend the perfect dog breeds for you!</p>")
-
-        with gr.Row():
-            with gr.Column():
-                living_space = gr.Radio(
-                    choices=["apartment", "house_small", "house_large"],
-                    label="What type of living space do you have?",
-                    info="Choose your current living situation",
-                    value="apartment"
-                )
-
-                exercise_time = gr.Slider(
-                    minimum=0,
-                    maximum=180,
-                    value=60,
-                    label="Daily exercise time (minutes)",
-                    info="Consider walks, play time, and training"
-                )
-
-                grooming_commitment = gr.Radio(
-                    choices=["low", "medium", "high"],
-                    label="Grooming commitment level",
-                    info="Low: monthly, Medium: weekly, High: daily",
-                    value="medium"
-                )
-
-            with gr.Column():
-                experience_level = gr.Radio(
-                    choices=["beginner", "intermediate", "advanced"],
-                    label="Dog ownership experience",
-                    info="Be honest - this helps find the right match",
-                    value="beginner"
-                )
-
-                has_children = gr.Checkbox(
-                    label="Have children at home",
-                    info="Helps recommend child-friendly breeds"
-                )
-
-                noise_tolerance = gr.Radio(
-                    choices=["low", "medium", "high"],
-                    label="Noise tolerance level",
-                    info="Some breeds are more vocal than others",
-                    value="medium"
-                )
-
-        get_recommendations_btn = gr.Button("Find My Perfect Match! 🔍", variant="primary")
-        recommendation_output = gr.HTML(label="Breed Recommendations")
-
-        def on_find_match_click(*args):
-            try:
-                user_prefs = UserPreferences(
-                    living_space=args[0],
-                    exercise_time=args[1],
-                    grooming_commitment=args[2],
-                    experience_level=args[3],
-                    has_children=args[4],
-                    noise_tolerance=args[5],
-                    space_for_play=True if args[0] != "apartment" else False,
-                    other_pets=False,
-                    climate="moderate",
-                    health_sensitivity="medium",  # 新增: 默認中等敏感度
-                    barking_acceptance=args[5]    # 使用 noise_tolerance 作為 barking_acceptance
-                )
-
-                recommendations = get_breed_recommendations(user_prefs, top_n=10)
-
-                history_results = [{
-                    'breed': rec['breed'],
-                    'rank': rec['rank'],
-                    'overall_score': rec['final_score'],
-                    'base_score': rec['base_score'],
-                    'bonus_score': rec['bonus_score'],
-                    'scores': rec['scores']
-                } for rec in recommendations]
-
-                # 保存到歷史記錄，也需要更新保存的偏好設定
-                history_component.save_search(
-                    user_preferences={
-                        'living_space': args[0],
-                        'exercise_time': args[1],
-                        'grooming_commitment': args[2],
-                        'experience_level': args[3],
-                        'has_children': args[4],
-                        'noise_tolerance': args[5],
-                        'health_sensitivity': "medium",
-                        'barking_acceptance': args[5]
-                    },
-                    results=history_results
-                )
-
-                return format_recommendation_html(recommendations)
-
-            except Exception as e:
-                print(f"Error in find match: {str(e)}")
-                import traceback
-                print(traceback.format_exc())
-                return "Error getting recommendations"
-
-        get_recommendations_btn.click(
-            fn=on_find_match_click,
-            inputs=[
-                living_space,
-                exercise_time,
-                grooming_commitment,
-                experience_level,
-                has_children,
-                noise_tolerance
-            ],
-            outputs=recommendation_output
-        )
-
-    return {
-        'living_space': living_space,
-        'exercise_time': exercise_time,
-        'grooming_commitment': grooming_commitment,
-        'experience_level': experience_level,
-        'has_children': has_children,
-        'noise_tolerance': noise_tolerance,
-        'get_recommendations_btn': get_recommendations_btn,
-        'recommendation_output': recommendation_output
-    }