新增异步意图识别器和相关功能，优化意图识别和槽位填充逻辑，支持异步处理和多线程检索，改进API调用的错误处理和日志记录，增强文档检索和关键词提取功能。

rag2_0/dify/intent_recognition_api.py

@@ -33,24 +33,10 @@ logger = logging.getLogger(__name__)
 
 app = Flask(__name__)
 
-# 创建线程锁，用于保护共享资源
-recognizer_lock = RLock()
-
-# 使用单例模式创建意图识别器
-class RecognizerSingleton:
-    _instance = None
-    _lock = RLock()
-    
-    @classmethod
-    def get_instance(cls):
-        if cls._instance is None:
-            with cls._lock:
-                if cls._instance is None:
-                    api_key = os.getenv("OPENAI_API_KEY")
-                    base_url = os.getenv("OPENAI_API_BASE")
-                    model_name = os.getenv("LLM_MODEL_NAME", "gpt-3.5-turbo")
-                    cls._instance = IntentRecognizer(api_key=api_key, base_url=base_url, model_name=model_name)
-        return cls._instance
+api_key = os.getenv("OPENAI_API_KEY")
+base_url = os.getenv("OPENAI_API_BASE")
+model_name = os.getenv("LLM_MODEL_NAME", "gpt-3.5-turbo")
+_instance = IntentRecognizer(api_key=api_key, base_url=base_url, model_name=model_name)
 
 @app.route('/intent_recognize', methods=['POST'])
 def intent_recognize():
@@ -65,9 +51,7 @@ def intent_recognize():
         
         start_time = time.time()
         
-        # 获取单例实例并使用线程锁保护关键操作
-        recognizer = RecognizerSingleton.get_instance()
-        result = recognizer.process_query(query=query, 
+        result = _instance.process_query(query=query, 
                                           conversation_context=conversation_context, 
                                           chat_history=chat_history, 
                                           previous_slots=previous_slots,
@@ -89,8 +73,6 @@ def intent_recognize():
             for term in keywords["terms"]:
                 term_info = {
                     "名称": term["name"],
-                    # "同义词": ";".join(term["synonymous"]) if term["synonymous"] else [],
-                    # "描述": term["description"]
                 }
                 term_details.append(term_info)
             keywords_str = term_details