新增AnswerType.py文件，创建FastAPI应用以收集用户提问数据类型，添加健康检查和异步检索API，优化日志记录和错误处理。同时，新增DifyExporter类用于导出Dify系统中的对话和消息数据，支持从查询日志加载数据并保存为Excel文件。

rag2_0/dify/dify_tool.py

@@ -4,6 +4,9 @@ import psycopg2
 import os
 import json
 from concurrent.futures import ThreadPoolExecutor, as_completed
+
+import sys
+sys.path.append(os.getcwd())
 from rag2_0.dify.dify_client import ChatClient
 from pydantic import BaseModel, Field
 from langchain.output_parsers import PydanticOutputParser
@@ -167,6 +170,76 @@ class PgSql:
                     return None
             except (Exception, psycopg2.Error) as error:
                 raise Exception(f"Error while getting workflow_node_executions_info: {error}")
+    
+    def get_app_conversations(self, appid:str)->list[str] | None:
+        """
+        根据应用 ID 从 'conversations' 表中获取应用会话信息。
+        """
+        with self.pg_sql_lock:
+            try:
+                with self.connection.cursor() as cursor:
+                    cursor.execute(
+                        """
+                            SELECT DISTINCT conversation_id
+                            FROM messages
+                            WHERE app_id = %s AND invoke_from != 'debugger';
+                        """,
+                        (appid,)
+                    )
+                    result = cursor.fetchall()
+                    if result:
+                        colnames = [desc[0] for desc in cursor.description]
+                        return [dict(zip(colnames, row)) for row in result]
+                    return None
+            except (Exception, psycopg2.Error) as error:
+                raise Exception(f"Error while getting app_conversations: {error}")
+            
+    def get_conversation_messages(self, conversation_id:str)->list[dict] | None:
+        """
+        根据会话 ID 从 'messages' 表中获取会话消息信息。
+        """
+        with self.pg_sql_lock:
+            try:
+                with self.connection.cursor() as cursor:
+                    cursor.execute(
+                        """
+                            SELECT * FROM messages WHERE conversation_id = %s AND status = 'normal'
+                        """,
+                        (conversation_id,)
+                    )
+                    result = cursor.fetchall()
+                    if result:
+                        colnames = [desc[0] for desc in cursor.description]
+                        return [dict(zip(colnames, row)) for row in result]
+                    return None
+            except (Exception, psycopg2.Error) as error:
+                raise Exception(f"Error while getting conversation_messages: {error}")
+
+    def get_message_rating(self, msg_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 rating
+                        FROM message_feedbacks
+                        WHERE message_id = %s
+                    """,
+                    (msg_id,))
+                    # 执行查询
+                    row = cursor.fetchone()
+
+                    if row:
+                        rating = row[0]
+            except (Exception, psycopg2.Error) as error:
+                raise Exception(f"Error while getting conversation_messages: {error}")
+            return rating
 
 class DifyTool:
     """
@@ -388,7 +461,6 @@ content: "{content}"
         avg_score = total_score / valid_scores if valid_scores > 0 else 0
         return retrieve_title, max_score, min_score, avg_score
 
-
 class NewWorkflowChat(BaseWorkflowChat):
     """
     新工作流对话类，用于调用新工作流发送对话并解析获取相关数据