Update app.py

app.py

@@ -80,63 +80,41 @@ def sync_google_maps(url):
         return
 
     try:
-        yield "🚀 [1/4] 啟動瀏覽器並準備抓取實景圖..."
+        yield "🚀 [1/4] 啟動瀏覽器..."
         with sync_playwright() as p:
             browser = p.chromium.launch(headless=True)
             page = browser.new_page()
+            yield "🌐 [2/4] 連線中..."
             page.goto(clean_url, wait_until="domcontentloaded", timeout=60000)
-            time.sleep(10) # 等待圖片加載
-            
-            yield "📄 [2/4] 正在解析餐廳資訊與圖片..."
-            
-            # 定位所有的餐廳卡片
-            items = page.locator('div[role="article"]').all()
+            yield "⏳ [3/4] 等待加載 (10秒)..."
+            time.sleep(10) 
+            yield "📄 [4/4] 解析中..."
+            titles = page.locator('div.fontHeadlineSmall').all_inner_texts()
+            details = page.locator('div.fontBodyMedium').all_inner_texts()
             
             restaurant_list = []
-            for item in items:
-                try:
-                    # 抓取店名
-                    name_el = item.locator('div.fontHeadlineSmall')
-                    if name_el.count() == 0: continue
-                    name = name_el.inner_text().strip()
-                    
-                    # 抓取地址/描述
-                    detail_el = item.locator('div.fontBodyMedium').first
-                    addr = detail_el.inner_text().strip() if detail_el.count() > 0 else "位置詳見地圖"
-                    
-                    # ✅ 抓取圖片網址 (Google Maps 的縮圖通常在 img 標籤中)
-                    img_el = item.locator('img').first
-                    img_url = None
-                    if img_el.count() > 0:
-                        img_url = img_el.get_attribute('src')
-                    
-                    # 如果圖片是 Data URL (base64) 或太小，通常代表沒載入成功，可以設個預設圖
-                    if not img_url or img_url.startswith('data:'):
-                        img_url = "https://images.unsplash.com/photo-1517248135467-4c7edcad34c4?q=80&w=400" # 預設餐廳美圖
-
+            for i, name in enumerate(titles):
+                name = name.strip()
+                if name:
+                    addr = details[i].strip() if i < len(details) else "詳情見地圖"
                     restaurant_list.append({
                         "Name": name,
                         "Address": addr,
-                        "Image_URL": img_url, # ✅ 新增欄位
-                        "RAG_Content": f"餐廳：{name}，資訊：{addr}",
+                        "RAG_Content": f"餐廳：{name}，地址：{addr}",
                         "URL": f"https://www.google.com/search?q={urllib.parse.quote(name)}"
                     })
-                except:
-                    continue
-                    
             browser.close()
 
             if not restaurant_list:
-                yield "⚠️ 找不到餐廳資訊，請確認連結格式。"
+                yield "⚠️ 找不到餐廳。請確認連結已設為「共用」。"
                 return
 
-            # 更新向量資料庫
             global_df = pd.DataFrame(restaurant_list)
             embeddings = HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2")
             vectorstore = FAISS.from_texts(global_df['RAG_Content'].tolist(), embeddings, metadatas=global_df.to_dict('records'))
             global_retriever = vectorstore.as_retriever(search_kwargs={"k": 3})
             rag_initialized = True
-            yield f"✅ 同步成功！已載入 {len(restaurant_list)} 間包含實景圖的餐廳。"
+            yield f"✅ 同步成功！共有 {len(restaurant_list)} 間餐廳。"
     except Exception as e:
         yield f"❌ 系統錯誤：{str(e)}"
 
@@ -197,27 +175,24 @@ def mood_agent_logic(score_input, food_input, diary_input, debug_mode):
         yield "⚠️ 請先同步地圖清單！", None, ""
         return
 
-    # 取得推薦資料
     restaurant, is_match, rec_categories, mood_reason, all_names = get_restaurant_data(score_input, food_input)
     
+    # 增加告知訊息
     prefix = ""
+    status_hint = ""
     if not is_match and food_input != "隨便":
-        prefix = f"> 💡 **溫馨提示**：名單中沒找到『{food_input}』，目前清單有：**{all_names}**。為您挑選了這一間：\n\n"
+        prefix = f"> 💡 **溫馨提示**：您的清單目前只有：**{all_names}**，沒找到符合『{food_input}』的店。我先幫您從現有名單挑一間最讚的！\n\n"
+        status_hint = f"\n(注意：清單中無 '{food_input}'，請幽默解釋為何先推薦這間。)"
 
-    name = restaurant['Name']
-    url = restaurant.get('URL', '#')
-    real_img_url = restaurant.get('Image_URL') # ✅ 取得抓到的真實圖片
-    rag_info = str(restaurant.get('RAG_Content', ''))
+    name = restaurant['Name']; url = restaurant.get('URL', '#')
+    rag_info = str(restaurant.get('RAG_Content', '')) + status_hint
     
-    # 產生 AI 回應
     ai_text = generate_content_with_groq(name, rag_info, diary_input, score_input, mood_reason)
     
     final_response = f"{prefix}### 🍽️ 推薦：{name}\n\n{ai_text}"
-    map_html = f'<div style="text-align:center"><a href="{url}" target="_blank" style="background:#4CAF50;color:white;padding:8px 16px;border-radius:20px;text-decoration:none">🗺️ 開啟 Google Map 導航</a></div>'
+    map_html = f'<div style="text-align:center"><a href="{url}" target="_blank" style="background:#4CAF50;color:white;padding:8px 16px;border-radius:20px;text-decoration:none">🗺️ 導航</a></div>'
     
-    # ✅ 直接回傳圖片網址給 Gradio 的 image_output
-    # 注意：Gradio 的 gr.Image 可以直接接收 URL 字串
-    yield final_response, real_img_url, map_html
+    yield final_response, None, map_html
 
 # ==========================================
 # 3. 橋接邏輯 (保留原本情緒辨識部分)