Update sentiment.py

sentiment.py

@@ -1,24 +1,27 @@
 import requests
+import logging
 from config import HEADERS
 
-# 📌 預設載入的模型
+# 設定 logging
+logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
+
 CURRENT_MODEL = "cardiffnlp/twitter-xlm-roberta-base-sentiment"
 API_URL = f"https://api-inference.huggingface.co/models/{CURRENT_MODEL}"
 
 def analyze_sentiment(text, model_id=None):
     global CURRENT_MODEL, API_URL
 
-    # 📌 **只在模型變更時更新 API URL**
     if model_id and model_id != CURRENT_MODEL:
         CURRENT_MODEL = model_id
         API_URL = f"https://api-inference.huggingface.co/models/{CURRENT_MODEL}"
-        print(f"🔄 重新載入模型: {CURRENT_MODEL}")
+        logging.info(f" 重新載入模型: {CURRENT_MODEL}")
 
     try:
-        print("🚀 發送 API 請求...")
+        logging.info(" 發送 API 請求...")
         response = requests.post(API_URL, headers=HEADERS, json={"inputs": text})
+        response.raise_for_status()  # 檢查 HTTP 狀態碼
         result = response.json()
-        print(f"✅ API 回應: {result}")
+        logging.info(f"✅ API 回應: {result}")
 
         if isinstance(result, list) and len(result) > 0:
             sentiment = result[0]["label"]
@@ -26,7 +29,16 @@ def analyze_sentiment(text, model_id=None):
             return f"**情緒分類**: {sentiment}\n**AI 信心度**: {confidence*100:.2f}%", confidence
         else:
             return "⚠️ **無法分析文本，請稍後再試**", 0.0
-    
+
+    except requests.exceptions.RequestException as e:
+        logging.error(f"❌ API 請求錯誤: {e}")
+        return f"❌ **API 請求錯誤**: {str(e)}", 0.0
+    except ValueError as e:
+        logging.error(f"❌ JSON 解碼錯誤: {e}")
+        return f"❌ **JSON 解碼錯誤**: {str(e)}", 0.0
+    except KeyError as e:
+        logging.error(f"❌ 字典鍵錯誤: {e}")
+        return f"❌ **字典鍵錯誤**: {str(e)}", 0.0
     except Exception as e:
-        print(f"❌ API 錯誤: {e}")
-        return f"❌ **錯誤**: {str(e)}", 0.0
+        logging.error(f"❌ 未知錯誤: {e}")
+        return f"❌ **未知錯誤**: {str(e)}", 0.0