breed_recommendation.py

import sqlite3
import gradio as gr
import asyncio
from typing import Generator
from dog_database import get_dog_description, dog_data
from breed_health_info import breed_health_info
from breed_noise_info import breed_noise_info
from scoring_calculation_system import UserPreferences, calculate_compatibility_score
from recommendation_html_format import format_recommendation_html, get_breed_recommendations
from search_history import create_history_tab, create_history_component


# def create_recommendation_tab(UserPreferences, get_breed_recommendations, format_recommendation_html, history_component):

#     with gr.TabItem("Breed Recommendation"):
#         with gr.Tabs():
#             with gr.Tab("Find by Criteria"):
#                 gr.HTML("""
#                     <div style='
#                         text-align: center;
#                         position: relative;
#                         padding: 20px 0;
#                         margin: 15px 0;
#                         background: linear-gradient(to right, rgba(66, 153, 225, 0.1), rgba(72, 187, 120, 0.1));
#                         border-radius: 10px;
#                     '>
#                         <!-- BETA 標籤 -->
#                         <div style='
#                             position: absolute;
#                             top: 10px;
#                             right: 20px;
#                             background: linear-gradient(90deg, #4299e1, #48bb78);
#                             color: white;
#                             padding: 4px 12px;
#                             border-radius: 15px;
#                             font-size: 0.85em;
#                             font-weight: 600;
#                             letter-spacing: 1px;
#                             box-shadow: 0 2px 4px rgba(0,0,0,0.1);
#                         '>BETA</div>
                        
#                         <!-- 主標題 -->
#                         <p style='
#                             font-size: 1.2em;
#                             margin: 0;
#                             padding: 0 20px;
#                             line-height: 1.5;
#                             background: linear-gradient(90deg, #4299e1, #48bb78);
#                             -webkit-background-clip: text;
#                             -webkit-text-fill-color: transparent;
#                             font-weight: 600;
#                         '>
#                             Tell us about your lifestyle, and we'll recommend the perfect dog breeds for you!
#                         </p>

#                         <!-- 提示訊息 -->
#                         <div style='
#                             margin-top: 15px;
#                             padding: 10px 20px;
#                             background: linear-gradient(to right, rgba(66, 153, 225, 0.15), rgba(72, 187, 120, 0.15));
#                             border-radius: 8px;
#                             font-size: 0.9em;
#                             color: #2D3748;
#                             display: flex;
#                             align-items: center;
#                             justify-content: center;
#                             gap: 8px;
#                         '>
#                             <span style="font-size: 1.2em;">🔬</span>
#                             <span style="
#                                 letter-spacing: 0.3px;
#                                 line-height: 1.4;
#                             "><strong>Beta Feature:</strong> Our matching algorithm is continuously improving. Results are for reference only.</span>
#                         </div>
#                     </div>
#                 """)

#                 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"
#                         )

#                         yard_access = gr.Radio(
#                             choices=["no_yard", "shared_yard", "private_yard"],
#                             label="Yard Access Type",
#                             info="Available outdoor space",
#                             value="no_yard"
#                         )

#                         exercise_time = gr.Slider(
#                             minimum=0,
#                             maximum=180,
#                             value=60,
#                             label="Daily exercise time (minutes)",
#                             info="Consider walks, play time, and training"
#                         )

#                         exercise_type = gr.Radio(
#                             choices=["light_walks", "moderate_activity", "active_training"],
#                             label="Exercise Style",
#                             info="What kind of activities do you prefer?",
#                             value="moderate_activity"
#                         )


#                         grooming_commitment = gr.Radio(
#                             choices=["low", "medium", "high"],
#                             label="Grooming commitment level",
#                             info="Low: monthly, Medium: weekly, High: daily",
#                             value="medium"
#                         )

#                     with gr.Column():
#                         size_preference = gr.Radio(
#                             choices=["no_preference", "small", "medium", "large", "giant"],
#                             label="Preference Dog Size",
#                             info="Select your preferred dog size - this will strongly filter the recommendations",
#                             value = "no_preference"
#                         )
#                         experience_level = gr.Radio(
#                             choices=["beginner", "intermediate", "advanced"],
#                             label="Dog ownership experience",
#                             info="Be honest - this helps find the right match",
#                             value="beginner"
#                         )

#                         time_availability = gr.Radio(
#                             choices=["limited", "moderate", "flexible"],
#                             label="Time Availability",
#                             info="Time available for dog care daily",
#                             value="moderate"
#                         )

#                         has_children = gr.Checkbox(
#                             label="Have children at home",
#                             info="Helps recommend child-friendly breeds"
#                         )

#                         children_age = gr.Radio(
#                             choices=["toddler", "school_age", "teenager"],
#                             label="Children's Age Group",
#                             info="Helps match with age-appropriate breeds",
#                             visible=False  # 默認隱藏，只在has_children=True時顯示
#                         )

#                         noise_tolerance = gr.Radio(
#                             choices=["low", "medium", "high"],
#                             label="Noise tolerance level",
#                             info="Some breeds are more vocal than others",
#                             value="medium"
#                         )
                        
#                 def update_children_age_visibility(has_children):
#                     return gr.update(visible=has_children)

#                 has_children.change(
#                     fn=update_children_age_visibility,
#                     inputs=has_children,
#                     outputs=children_age
#                 )

#                 get_recommendations_btn = gr.Button("Find My Perfect Match! 🔍", variant="primary")
            
#                 recommendation_output = gr.HTML(
#                     label="Breed Recommendations",
#                     visible=True,  # 確保可見性
#                     elem_id="recommendation-output"  
#                 )

#         def on_find_match_click(*args):
#             try:
#                 user_prefs = UserPreferences(
#                 living_space=args[0],
#                 yard_access=args[1],       
#                 exercise_time=args[2],
#                 exercise_type=args[3],      
#                 grooming_commitment=args[4],
#                 size_preference=args[5],     
#                 experience_level=args[6],    
#                 time_availability=args[7],   
#                 has_children=args[8],
#                 children_age=args[9] if args[8] else None,
#                 noise_tolerance=args[10],
#                 space_for_play=True if args[0] != "apartment" else False,
#                 other_pets=False,
#                 climate="moderate",
#                 health_sensitivity="medium",
#                 barking_acceptance=args[10]
#             )

#                 recommendations = get_breed_recommendations(user_prefs, top_n=15)

#                 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]

#                 history_component.save_search(
#                     user_preferences={
#                         'living_space': args[0],
#                         'yard_access': args[1],
#                         'exercise_time': args[2],
#                         'exercise_type': args[3],
#                         'grooming_commitment': args[4],
#                         'size_preference': args[5],        
#                         'experience_level': args[6],       
#                         'time_availability': args[7],
#                         'has_children': args[8],
#                         'children_age': args[9] if args[8] else None,
#                         'noise_tolerance': args[10],
#                         'search_type': 'Criteria'  
#                     },
#                     results=history_results
#                 )

#                 return format_recommendation_html(recommendations, is_description_search=False)

#             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,
#                 yard_access,        
#                 exercise_time,
#                 exercise_type,      
#                 grooming_commitment,
#                 size_preference,
#                 experience_level,
#                 time_availability, 
#                 has_children,
#                 children_age,
#                 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,
#     }

def create_recommendation_tab(UserPreferences, get_breed_recommendations, format_recommendation_html, history_component):

    with gr.TabItem("Breed Recommendation"):
        with gr.Tabs():
            with gr.Tab("Find by Criteria"):
                gr.HTML("""
                    <div style='
                        text-align: center;
                        position: relative;
                        padding: 20px 0;
                        margin: 15px 0;
                        background: linear-gradient(to right, rgba(66, 153, 225, 0.1), rgba(72, 187, 120, 0.1));
                        border-radius: 10px;
                    '>
                        <!-- BETA 標籤 -->
                        <div style='
                            position: absolute;
                            top: 10px;
                            right: 20px;
                            background: linear-gradient(90deg, #4299e1, #48bb78);
                            color: white;
                            padding: 4px 12px;
                            border-radius: 15px;
                            font-size: 0.85em;
                            font-weight: 600;
                            letter-spacing: 1px;
                            box-shadow: 0 2px 4px rgba(0,0,0,0.1);
                        '>BETA</div>
                        
                        <!-- 主標題 -->
                        <p style='
                            font-size: 1.2em;
                            margin: 0;
                            padding: 0 20px;
                            line-height: 1.5;
                            background: linear-gradient(90deg, #4299e1, #48bb78);
                            -webkit-background-clip: text;
                            -webkit-text-fill-color: transparent;
                            font-weight: 600;
                        '>
                            Tell us about your lifestyle, and we'll recommend the perfect dog breeds for you!
                        </p>

                        <!-- 提示訊息 -->
                        <div style='
                            margin-top: 15px;
                            padding: 10px 20px;
                            background: linear-gradient(to right, rgba(66, 153, 225, 0.15), rgba(72, 187, 120, 0.15));
                            border-radius: 8px;
                            font-size: 0.9em;
                            color: #2D3748;
                            display: flex;
                            align-items: center;
                            justify-content: center;
                            gap: 8px;
                        '>
                            <span style="font-size: 1.2em;">🔬</span>
                            <span style="
                                letter-spacing: 0.3px;
                                line-height: 1.4;
                            "><strong>Beta Feature:</strong> Our matching algorithm is continuously improving. Results are for reference only.</span>
                        </div>
                    </div>
                """)

                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"
                        )

                        yard_access = gr.Radio(
                            choices=["no_yard", "shared_yard", "private_yard"],
                            label="Yard Access Type",
                            info="Available outdoor space",
                            value="no_yard"
                        )

                        exercise_time = gr.Slider(
                            minimum=0,
                            maximum=180,
                            value=60,
                            label="Daily exercise time (minutes)",
                            info="Consider walks, play time, and training"
                        )

                        exercise_type = gr.Radio(
                            choices=["light_walks", "moderate_activity", "active_training"],
                            label="Exercise Style",
                            info="What kind of activities do you prefer?",
                            value="moderate_activity"
                        )


                        grooming_commitment = gr.Radio(
                            choices=["low", "medium", "high"],
                            label="Grooming commitment level",
                            info="Low: monthly, Medium: weekly, High: daily",
                            value="medium"
                        )

                    with gr.Column():
                        size_preference = gr.Radio(
                            choices=["no_preference", "small", "medium", "large", "giant"],
                            label="Preference Dog Size",
                            info="Select your preferred dog size - this will strongly filter the recommendations",
                            value = "no_preference"
                        )
                        experience_level = gr.Radio(
                            choices=["beginner", "intermediate", "advanced"],
                            label="Dog ownership experience",
                            info="Be honest - this helps find the right match",
                            value="beginner"
                        )

                        time_availability = gr.Radio(
                            choices=["limited", "moderate", "flexible"],
                            label="Time Availability",
                            info="Time available for dog care daily",
                            value="moderate"
                        )

                        has_children = gr.Checkbox(
                            label="Have children at home",
                            info="Helps recommend child-friendly breeds"
                        )

                        children_age = gr.Radio(
                            choices=["toddler", "school_age", "teenager"],
                            label="Children's Age Group",
                            info="Helps match with age-appropriate breeds",
                            visible=False  # 默認隱藏，只在has_children=True時顯示
                        )

                        noise_tolerance = gr.Radio(
                            choices=["low", "medium", "high"],
                            label="Noise tolerance level",
                            info="Some breeds are more vocal than others",
                            value="medium"
                        )
                        
                def update_children_age_visibility(has_children):
                    return gr.update(visible=has_children)

                has_children.change(
                    fn=update_children_age_visibility,
                    inputs=has_children,
                    outputs=children_age
                )

                with gr.Column():
                    # 添加自定義 CSS
                    gr.HTML("""
                        <style>
                            .custom-match-button {
                                background: linear-gradient(to right, #ff8c42, #ff6b2b) !important;
                                border-radius: 50px !important;
                                padding: 12px 24px !important;
                                border: none !important;
                                color: white !important;
                                font-weight: 600 !important;
                                transition: all 0.3s ease !important;
                                box-shadow: 0 4px 15px rgba(255, 107, 43, 0.2) !important;
                            }
                
                            .custom-match-button:hover {
                                transform: translateY(-2px) !important;
                                box-shadow: 0 6px 20px rgba(255, 107, 43, 0.3) !important;
                                background: linear-gradient(to right, #ff6b2b, #ff5722) !important;
                            }
                        </style>
                    """)
                    
                    # 創建新的按鈕
                    get_recommendations_btn = gr.Button(
                        "Find My Perfect Match 🐾",
                        elem_classes="custom-match-button",
                        variant="primary"
                    )

        def on_find_match_click(*args):
            try:
                loading_messages = [
                    "🐕 Sniffing out your perfect match...",
                    "🔍 Searching through our database...",
                    "🎾 Playing fetch with potential matches...",
                    "🦴 Evaluating compatibility scores...",
                    "💭 Getting opinions from our experts..."
                ]
        
                # 顯示初始加載訊息
                yield gr.HTML("""
                    <div style="
                        text-align: center;
                        padding: 20px;
                        background: rgba(255, 255, 255, 0.9);
                        border-radius: 12px;
                        box-shadow: 0 4px 15px rgba(0, 0, 0, 0.1);
                        margin: 20px 0;
                    ">
                        <div style="font-size: 1.1em; color: #4a5568; margin-bottom: 10px;">
                            {}
                        </div>
                        <div style="
                            width: 100%;
                            height: 4px;
                            background: #f0f0f0;
                            border-radius: 2px;
                            overflow: hidden;
                        ">
                            <div style="
                                width: 30%;
                                height: 100%;
                                background: linear-gradient(to right, #ff8c42, #ff6b2b);
                                animation: progress 2s infinite linear;
                            "></div>
                        </div>
                    </div>
                    <style>
                        @keyframes progress {{
                            0% {{ transform: translateX(-100%); }}
                            100% {{ transform: translateX(400%); }}
                        }}
                    </style>
                """.format(loading_messages[0]))

                user_prefs = UserPreferences(
                living_space=args[0],
                yard_access=args[1],       
                exercise_time=args[2],
                exercise_type=args[3],      
                grooming_commitment=args[4],
                size_preference=args[5],     
                experience_level=args[6],    
                time_availability=args[7],   
                has_children=args[8],
                children_age=args[9] if args[8] else None,
                noise_tolerance=args[10],
                space_for_play=True if args[0] != "apartment" else False,
                other_pets=False,
                climate="moderate",
                health_sensitivity="medium",
                barking_acceptance=args[10]
            )

                recommendations = get_breed_recommendations(user_prefs, top_n=15)

                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]

                history_component.save_search(
                    user_preferences={
                        'living_space': args[0],
                        'yard_access': args[1],
                        'exercise_time': args[2],
                        'exercise_type': args[3],
                        'grooming_commitment': args[4],
                        'size_preference': args[5],        
                        'experience_level': args[6],       
                        'time_availability': args[7],
                        'has_children': args[8],
                        'children_age': args[9] if args[8] else None,
                        'noise_tolerance': args[10],
                        'search_type': 'Criteria'  
                    },
                    results=history_results
                )

                return format_recommendation_html(recommendations, is_description_search=False)

            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,
                yard_access,
                exercise_time,
                exercise_type,
                grooming_commitment,
                size_preference,
                experience_level,
                time_availability,
                has_children,
                children_age,
                noise_tolerance
            ],
            outputs=recommendation_output,
            api_name=False  # 支持生成器功能
        )

    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,
    }