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Running
on
Zero
Delete breed_recommendation.py
Browse files- breed_recommendation.py +0 -330
breed_recommendation.py
DELETED
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import sqlite3
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import gradio as gr
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from typing import Generator
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from dog_database import get_dog_description, dog_data
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from breed_health_info import breed_health_info
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from breed_noise_info import breed_noise_info
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from scoring_calculation_system import UserPreferences, calculate_compatibility_score
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from recommendation_html_format import format_recommendation_html, get_breed_recommendations
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from search_history import create_history_tab, create_history_component
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def create_custom_button_style():
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return """
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<style>
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/* 確保有匹配到 */
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button#find-match-btn {
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background: linear-gradient(90deg, #ff5f6d 0%, #ffc371 100%) !important;
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border: none !important;
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border-radius: 30px !important;
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padding: 12px 24px !important;
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color: white !important;
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font-weight: bold !important;
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cursor: pointer !important;
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transition: all 0.3s ease !important;
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box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1) !important;
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width: 100% !important;
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margin: 20px 0 !important;
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font-size: 1.1em !important;
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}
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button#find-match-btn:hover {
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background: linear-gradient(90deg, #ff4f5d 0%, #ffb361 100%) !important;
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box-shadow: 0 6px 12px rgba(0, 0, 0, 0.2) !important;
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transform: translateY(-2px) !important;
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}
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button#find-match-btn:active {
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transform: translateY(1px) !important;
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box-shadow: 0 2px 4px rgba(0, 0, 0, 0.2) !important;
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}
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#search-status {
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text-align: center;
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padding: 15px;
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font-size: 1.1em;
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color: #666;
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margin: 10px 0;
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border-radius: 8px;
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background: rgba(200, 200, 200, 0.1); # 中性的背景色
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transition: opacity 0.3s ease; # 平滑過渡效果
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}
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/* 強制覆蓋任何其他樣式 */
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.gradio-button {
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position: relative !important;
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overflow: visible !important;
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}
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</style>
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"""
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def create_recommendation_tab(UserPreferences, get_breed_recommendations, format_recommendation_html, history_component):
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with gr.TabItem("Breed Recommendation"):
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with gr.Tabs():
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with gr.Tab("Find by Criteria"):
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gr.HTML("""
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<div style='
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text-align: center;
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position: relative;
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padding: 20px 0;
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margin: 15px 0;
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background: linear-gradient(to right, rgba(66, 153, 225, 0.1), rgba(72, 187, 120, 0.1));
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border-radius: 10px;
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'>
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<!-- BETA 標籤 -->
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<div style='
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position: absolute;
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top: 10px;
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right: 20px;
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background: linear-gradient(90deg, #4299e1, #48bb78);
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color: white;
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padding: 4px 12px;
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border-radius: 15px;
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font-size: 0.85em;
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font-weight: 600;
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letter-spacing: 1px;
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box-shadow: 0 2px 4px rgba(0,0,0,0.1);
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'>BETA</div>
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<!-- 主標題 -->
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<p style='
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font-size: 1.2em;
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margin: 0;
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padding: 0 20px;
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line-height: 1.5;
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background: linear-gradient(90deg, #4299e1, #48bb78);
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-webkit-background-clip: text;
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-webkit-text-fill-color: transparent;
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font-weight: 600;
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'>
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Tell us about your lifestyle, and we'll recommend the perfect dog breeds for you!
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</p>
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<!-- 提示訊息 -->
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<div style='
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margin-top: 15px;
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padding: 10px 20px;
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background: linear-gradient(to right, rgba(66, 153, 225, 0.15), rgba(72, 187, 120, 0.15));
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border-radius: 8px;
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font-size: 0.9em;
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color: #2D3748;
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display: flex;
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align-items: center;
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justify-content: center;
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gap: 8px;
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'>
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<span style="font-size: 1.2em;">🔬</span>
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<span style="
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letter-spacing: 0.3px;
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line-height: 1.4;
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"><strong>Beta Feature:</strong> Our matching algorithm is continuously improving. Results are for reference only.</span>
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</div>
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</div>
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""")
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with gr.Row():
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with gr.Column():
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living_space = gr.Radio(
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choices=["apartment", "house_small", "house_large"],
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label="What type of living space do you have?",
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info="Choose your current living situation",
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value="apartment"
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)
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yard_access = gr.Radio(
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choices=["no_yard", "shared_yard", "private_yard"],
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label="Yard Access Type",
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info="Available outdoor space",
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value="no_yard"
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)
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exercise_time = gr.Slider(
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minimum=0,
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maximum=180,
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value=60,
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label="Daily exercise time (minutes)",
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info="Consider walks, play time, and training"
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)
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exercise_type = gr.Radio(
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choices=["light_walks", "moderate_activity", "active_training"],
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label="Exercise Style",
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info="What kind of activities do you prefer?",
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value="moderate_activity"
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)
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grooming_commitment = gr.Radio(
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choices=["low", "medium", "high"],
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label="Grooming commitment level",
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info="Low: monthly, Medium: weekly, High: daily",
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value="medium"
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)
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with gr.Column():
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size_preference = gr.Radio(
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choices=["no_preference", "small", "medium", "large", "giant"],
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label="Preference Dog Size",
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info="Select your preferred dog size - this will strongly filter the recommendations",
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value = "no_preference"
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)
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experience_level = gr.Radio(
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choices=["beginner", "intermediate", "advanced"],
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label="Dog ownership experience",
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info="Be honest - this helps find the right match",
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value="beginner"
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)
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time_availability = gr.Radio(
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choices=["limited", "moderate", "flexible"],
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label="Time Availability",
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info="Time available for dog care daily",
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value="moderate"
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)
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has_children = gr.Checkbox(
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label="Have children at home",
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info="Helps recommend child-friendly breeds"
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)
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children_age = gr.Radio(
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choices=["toddler", "school_age", "teenager"],
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label="Children's Age Group",
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info="Helps match with age-appropriate breeds",
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visible=False # 默認隱藏,只在has_children=True時顯示
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)
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noise_tolerance = gr.Radio(
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choices=["low", "medium", "high"],
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label="Noise tolerance level",
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info="Some breeds are more vocal than others",
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value="medium"
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)
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def update_children_age_visibility(has_children):
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return gr.update(visible=has_children)
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has_children.change(
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fn=update_children_age_visibility,
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inputs=has_children,
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outputs=children_age
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)
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gr.HTML(create_custom_button_style())
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get_recommendations_btn = gr.Button(
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"Find My Perfect Match! 🔍",
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elem_id="find-match-btn"
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)
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search_status = gr.HTML(
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'<div id="search-status">🔍 Sniffing out your perfect furry companion...</div>',
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visible=False,
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elem_id="search-status-container"
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)
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recommendation_output = gr.HTML(
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label="Breed Recommendations",
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visible=True, # 確保可��性
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elem_id="recommendation-output"
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)
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def on_find_match_click(*args):
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try:
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print("Starting breed matching process...")
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user_prefs = UserPreferences(
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living_space=args[0],
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yard_access=args[1],
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exercise_time=args[2],
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exercise_type=args[3],
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grooming_commitment=args[4],
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size_preference=args[5],
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experience_level=args[6],
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time_availability=args[7],
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has_children=args[8],
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children_age=args[9] if args[8] else None,
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noise_tolerance=args[10],
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space_for_play=True if args[0] != "apartment" else False,
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other_pets=False,
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climate="moderate",
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health_sensitivity="medium",
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barking_acceptance=args[10]
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)
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recommendations = get_breed_recommendations(user_prefs, top_n=15)
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history_results = [{
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'breed': rec['breed'],
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'rank': rec['rank'],
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'overall_score': rec['final_score'],
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'base_score': rec['base_score'],
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'bonus_score': rec['bonus_score'],
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'scores': rec['scores']
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} for rec in recommendations]
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history_component.save_search(
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user_preferences={
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'living_space': args[0],
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'yard_access': args[1],
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'exercise_time': args[2],
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'exercise_type': args[3],
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'grooming_commitment': args[4],
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'size_preference': args[5],
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'experience_level': args[6],
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'time_availability': args[7],
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'has_children': args[8],
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'children_age': args[9] if args[8] else None,
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'noise_tolerance': args[10],
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'search_type': 'Criteria'
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},
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results=history_results
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)
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return [
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format_recommendation_html(recommendations, is_description_search=False),
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gr.update(visible=False)
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]
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except Exception as e:
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print(f"Error in find match: {str(e)}")
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import traceback
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print(traceback.format_exc())
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return ["Error getting recommendations", gr.HTML.update(visible=False)]
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def update_status_and_process(*args):
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return [
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gr.update(value=None, visible=True), # 更新可見性
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gr.update(visible=True)
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]
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get_recommendations_btn.click(
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fn=update_status_and_process, # 先執行狀態更新
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outputs=[recommendation_output, search_status],
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queue=False # 確保狀態更新立即執行
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).then( # 然後執行主要處理邏輯
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fn=on_find_match_click,
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inputs=[
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living_space,
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yard_access,
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exercise_time,
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exercise_type,
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grooming_commitment,
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size_preference,
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experience_level,
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time_availability,
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has_children,
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children_age,
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noise_tolerance
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],
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outputs=[recommendation_output, search_status]
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)
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return {
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'living_space': living_space,
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'exercise_time': exercise_time,
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'grooming_commitment': grooming_commitment,
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'experience_level': experience_level,
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'has_children': has_children,
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'noise_tolerance': noise_tolerance,
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'get_recommendations_btn': get_recommendations_btn,
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'recommendation_output': recommendation_output,
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}
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