更新pyproject.toml和uv.lock文件，新增ijson和langfuse依赖，同时在对话到工单的分析流程中添加时间范围过滤功能，优化日志记录，支持按时间范围过滤会话数据。新增获取工作流运行信息的方法，并更新意图识别API以支持使用jieba分词。

rag2_0/dify/AnswerType.py

@@ -84,17 +84,18 @@ async def health_check():
     return {"status": "ok"}
 
 @app.get("/query_type", summary="异步检索API")
-async def query_type(query: str, query_type: str):
+async def query_type(query: str, query_type: str, workflow_run_id:str):
     try:
         # 记录请求
-        logger.info(f"接收到请求: {query}, 类型: {query_type}")
+        logger.info(f"接收到请求: {query}, 类型: {query_type}, workflow_run_id: {workflow_run_id}")
         
         # 保存 提问、问题类型、当前时间戳到json
         timestamp = datetime.datetime.now().isoformat()
         query_data = {
             "query": query,
             "query_type": query_type,
-            "timestamp": timestamp
+            "timestamp": timestamp,
+            "workflow_run_id": workflow_run_id
         }
         success = True
         try:

rag2_0/dify/DifyQueryRetrieval.py

@@ -197,6 +197,8 @@ class DifyQueryRetrieval:
         # 将去重后的文档转换为列表
         deduplicated_documents = list(unique_documents.values())
         
+        if len(deduplicated_documents) == 0:
+            return []
         # 对所有检索出来的文档进行重排序
         time_start = time.time()
         processed_documents = await self.data_post_processor_async(original_query, deduplicated_documents, top_k)

rag2_0/dify/dify_tool.py

@@ -244,6 +244,29 @@ class PgSql:
                 raise Exception(f"Error while getting conversation_messages: {error}")
             return rating
 
+    def get_workflow_run_info(self, workflow_run_id):
+        """
+        通过msg_id从message_feedbacks中找到对应的rating。
+        :param msg_id: 消息ID (UUID格式)
+        :return: rating 字符串
+        """
+        with self.pg_sql_lock:
+            rating = None
+            try:
+                with self.connection.cursor() as cursor:
+                    # 构建查询语句
+                    cursor.execute("""
+                        SELECT * FROM workflow_runs WHERE id=%s;
+                    """,
+                    (workflow_run_id,))
+                    # 执行查询
+                    result = cursor.fetchone()
+                    if result:
+                        colnames = [desc[0] for desc in cursor.description]
+                        return dict(zip(colnames, result))
+            except (Exception, psycopg2.Error) as error:
+                raise Exception(f"Error while getting conversation_messages: {error}")
+            return None
 
 class DifyTool:
     """
@@ -337,6 +360,9 @@ class DifyTool:
     def get_message_rating(self, msg_id):
         return self.dify_pgsql.get_message_rating(msg_id)
 
+    def get_workflow_run_info(self, workflow_run_id):
+        return self.dify_pgsql.get_workflow_run_info(workflow_run_id)
+
 class BaseWorkflowChat:
     """
     工作流对话基类，封装了与Dify API交互的基本功能

rag2_0/dify/intent_recognition_api.py

@@ -109,7 +109,7 @@ async def intent_recognize(request: IntentRecognizeRequest):
             conversation_context=request.conversation_context, 
             chat_history=request.chat_history, 
             previous_slots=request.previous_slots,
-            use_jieba=False,
+            use_jieba=True,
             enable_query_expansion=True
         )
         
@@ -175,7 +175,7 @@ if __name__ == "__main__":
         "rag2_0.dify.intent_recognition_api:app", 
         host="0.0.0.0", 
         port=8001, 
-        reload=False,  # 开发环境启用热重载
+        reload=True,  # 开发环境启用热重载
         workers=1     # 生产环境可以增加worker数量
     )
     # 生产环境可以使用以下命令启动: