Update app.py

app.py

@@ -1115,63 +1115,114 @@ def send_message(recipient_id, message_text):
 def process_messenger_video(video_url, sender_id):
     """處理來自 Messenger 的影片（HuggingFace 整合版本）"""
     import tempfile
-    
+    import time
+
     try:
         print(f"🎬 開始處理 Messenger 影片：{video_url}")
-        
-        # 下載影片
-        response = requests.get(video_url, stream=True, timeout=30, verify=False)
-        response.raise_for_status()
-        
-        # 使用臨時檔案避免權限問題
-        timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
-        filename = f"messenger_video_{sender_id}_{timestamp}.mp4"
-        
-        # 創建臨時檔案
-        with tempfile.NamedTemporaryFile(delete=False, suffix='.mp4', prefix=f'messenger_{sender_id}_') as temp_file:
-            file_path = temp_file.name
-            
-            # 寫入檔案
-            for chunk in response.iter_content(chunk_size=8192):
-                if chunk:
-                    temp_file.write(chunk)
-        
-        print(f"✅ 影片下載完成：{file_path}")
-        
-        # 初始化影片辨識器
-        model_path = MODEL_PATH
-        video_recognizer = VideoSignLanguageRecognizer(model_path, threshold=0.5)
-        
-        # 處理影片
-        result = video_recognizer.process_video(file_path)
-        
-        # 清理臨時檔案
-        try:
-            os.remove(file_path)
-        except:
-            pass
-        
-        if result:
-            generated_sentence = result.get('generated_sentence', '無法辨識手語內容')
-            confidence = result.get('confidence', 0.0)
-            word_sequence = result.get('word_sequence', [])
-            
-            print(f"✅ 手語辨識完成 - 用戶：{sender_id}")
-            print(f"📝 模型辨識：{word_sequence}")
-            print(f"💬 GPT翻譯：{generated_sentence}")
-            print(f"🎯 信心度：{confidence:.2f}")
-            
-            # 發送GPT翻譯結果給用戶
-            send_message(sender_id, generated_sentence)
-        else:
-            send_message(sender_id, "抱歉，無法辨識您的手語內容，請再試一次。")
-        
-        # 釋放 Mediapipe 資源
+
+        # 驗證影片 URL 格式
+        if not video_url or 'xx.fbcdn.net' in video_url:
+            print(f"❌ 影片 URL 格式無效或包含佔位符：{video_url}")
+            send_message(sender_id, "影片 URL 格式無效，請重新發送影片。")
+            return
+
+        # 檢查 URL 是否可訪問（輕量級檢查）
         try:
-            video_recognizer.feature_extractor.close()
-        except Exception:
-            pass
-            
+            # 使用 HEAD 請求檢查 URL 是否可訪問
+            head_response = requests.head(video_url, timeout=10, verify=False, allow_redirects=True)
+            if head_response.status_code != 200:
+                print(f"❌ 影片 URL 不可訪問，狀態碼：{head_response.status_code}")
+                send_message(sender_id, "影片連結已過期或無法訪問，請重新發送影片。")
+                return
+        except requests.exceptions.RequestException as e:
+            print(f"❌ 影片 URL 檢查失敗：{e}")
+            send_message(sender_id, "影片連結檢查失敗，請重新發送影片。")
+            return
+
+        # 重試下載邏輯
+        max_retries = 3
+        retry_delay = 2  # 初始延遲 2 秒
+
+        for attempt in range(max_retries):
+            try:
+                print(f"📥 嘗試下載影片（第 {attempt + 1} 次）")
+
+                # 下載影片
+                response = requests.get(video_url, stream=True, timeout=60, verify=False)
+                response.raise_for_status()
+
+                # 使用臨時檔案避免權限問題
+                timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+                filename = f"messenger_video_{sender_id}_{timestamp}.mp4"
+
+                # 創建臨時檔案
+                with tempfile.NamedTemporaryFile(delete=False, suffix='.mp4', prefix=f'messenger_{sender_id}_') as temp_file:
+                    file_path = temp_file.name
+
+                    # 寫入檔案
+                    downloaded_size = 0
+                    for chunk in response.iter_content(chunk_size=8192):
+                        if chunk:
+                            temp_file.write(chunk)
+                            downloaded_size += len(chunk)
+
+                    # 檢查下載的檔案大小
+                    if downloaded_size < 1024:  # 小於 1KB 可能是錯誤
+                        raise ValueError(f"下載的檔案太小：{downloaded_size} bytes")
+
+                print(f"✅ 影片下載完成：{file_path} ({downloaded_size} bytes)")
+
+                # 初始化影片辨識器
+                model_path = MODEL_PATH
+                video_recognizer = VideoSignLanguageRecognizer(model_path, threshold=0.5)
+
+                # 處理影片
+                result = video_recognizer.process_video(file_path)
+
+                # 清理臨時檔案
+                try:
+                    os.remove(file_path)
+                except:
+                    pass
+
+                if result:
+                    generated_sentence = result.get('generated_sentence', '無法辨識手語內容')
+                    confidence = result.get('confidence', 0.0)
+                    word_sequence = result.get('word_sequence', [])
+
+                    print(f"✅ 手語辨識完成 - 用戶：{sender_id}")
+                    print(f"📝 模型辨識：{word_sequence}")
+                    print(f"💬 GPT翻譯：{generated_sentence}")
+                    print(f"🎯 信心度：{confidence:.2f}")
+
+                    # 發送GPT翻譯結果給用戶
+                    send_message(sender_id, generated_sentence)
+                else:
+                    send_message(sender_id, "抱歉，無法辨識您的手語內容，請再試一次。")
+
+                # 釋放 Mediapipe 資源
+                try:
+                    video_recognizer.feature_extractor.close()
+                except Exception:
+                    pass
+
+                return  # 成功處理，退出函數
+
+            except requests.exceptions.RequestException as e:
+                print(f"❌ 下載失敗（第 {attempt + 1} 次）：{e}")
+                if attempt < max_retries - 1:
+                    print(f"⏳ {retry_delay} 秒後重試...")
+                    time.sleep(retry_delay)
+                    retry_delay *= 2  # 指數退避
+                else:
+                    print("❌ 所有重試次數已用完")
+                    send_message(sender_id, "影片下載失敗，請檢查網路連線後重新發送影片。")
+
+            except Exception as e:
+                print(f"❌ 處理影片時發生錯誤：{e}")
+                send_message(sender_id, "處理影片時發生錯誤，請稍後再試。")
+                return
+
     except Exception as e:
         print(f"處理 Messenger 影片時發生錯誤：{e}")
         send_message(sender_id, "處理影片時發生錯誤，請稍後再試。")