"
# 對歷史記錄進行反轉，最新的顯示在前面
for entry in reversed(history_data):
timestamp = entry.get('timestamp', 'Unknown time')
search_type = entry.get('search_type', 'criteria')
results = entry.get('results', [])
# 顯示時間戳記和搜尋類型
html += f"""
"""
# 顯示搜尋參數
if search_type == "criteria":
prefs = entry.get('preferences', {})
html += f"""
Search Parameters:
- Living Space: {prefs.get('living_space', 'N/A')}
- Exercise Time: {prefs.get('exercise_time', 'N/A')} minutes
- Grooming: {prefs.get('grooming_commitment', 'N/A')}
- Size Preference: {prefs.get('size_preference', 'N/A')}
- Experience: {prefs.get('experience_level', 'N/A')}
- Children at Home: {"Yes" if prefs.get('has_children') else "No"}
- Noise Tolerance: {prefs.get('noise_tolerance', 'N/A')}
"""
# 關鍵修改：確保結果部分始終顯示
if results: # 只有在有結果時才顯示結果區域
html += """
Top 15 Breed Matches:
"""
# 顯示每個推薦結果
for i, result in enumerate(results[:15], 1):
breed = result.get('breed', 'Unknown breed')
score = result.get('overall_score', 0) # 改用 overall_score
if isinstance(score, (int, float)): # 確保分數是數字
score = float(score) * 100 # 轉換為百分比
html += f"""
#{i}
{breed.replace('_', ' ')}
{score:.1f}%
"""
html += """
"""
html += "
" # 關閉 history-entry div
html += "
Error formatting history. Please try refreshing the page.
Error details: {str(e)}
"""
def clear_history(self) -> str:
"""清除所有搜尋歷史"""
try:
success = self.history_manager.clear_all_history()
print(f"Clear history result: {success}")
return self.format_history_html()
except Exception as e:
print(f"Error in clear_history: {str(e)}")
print(traceback.format_exc())
return "Error clearing history"
def refresh_history(self) -> str:
"""刷新歷史記錄顯示"""
try:
return self.format_history_html()
except Exception as e:
print(f"Error in refresh_history: {str(e)}")
return "Error refreshing history"
def save_search(self, user_preferences: Optional[dict] = None,
results: list = None,
search_type: str = "criteria",
description: str = None) -> bool:
"""
保存搜索結果到歷史記錄
這個方法負責處理搜尋結果的保存，並確保只保存前15個最相關的推薦結果。
在保存之前，會處理結果數據確保格式正確且包含所需的所有資訊。
Args:
user_preferences: 使用者偏好設定 (僅用於criteria搜尋)
包含所有搜尋條件如居住空間、運動時間等
results: 推薦結果列表
包含所有推薦的狗品種及其評分
search_type: 搜尋類型 ("criteria" 或 "description")
用於標識搜尋方式
description: 使用者輸入的描述 (僅用於description搜尋)
用於自然語言搜尋時的描述文本
Returns:
bool: 表示保存是否成功
"""
# 首先確保結果不為空且為列表
if results and isinstance(results, list):
# 只取前15個結果
processed_results = []
for result in results[:15]: # 限制為前15個結果
# 確保每個結果都包含必要的資訊
if isinstance(result, dict):
processed_result = {
'breed': result.get('breed', 'Unknown'),
'overall_score': result.get('overall_score', result.get('final_score', 0)),
'rank': result.get('rank', 0),
'base_score': result.get('base_score', 0),
'bonus_score': result.get('bonus_score', 0),
'scores': result.get('scores', {})
}
processed_results.append(processed_result)
else:
# 如果沒有結果，創建空列表
processed_results = []
# 調用 history_manager 的 save_history 方法保存處理過的結果
return self.history_manager.save_history(
user_preferences=user_preferences,
results=processed_results, # 使用處理過的結果
search_type='criteria'
)
def create_history_component():
"""只創建實例"""
return SearchHistoryComponent()
def create_history_tab(history_component: SearchHistoryComponent):
"""創建歷史紀錄的頁面
Args:
history_component:
"""
with gr.TabItem("Recommendation Search History"):
gr.HTML("""