backend/app/api/routers/app.py

@@ -3,6 +3,7 @@ import json
 import logging
 import time
 from typing import Dict, List, Any, Optional, AsyncGenerator
+from collections import deque
 
 from aiostream import stream
 from fastapi import APIRouter, Request
@@ -13,7 +14,8 @@ from llama_index.core.callbacks import CBEventType
 from llama_index.core.chat_engine.types import StreamingAgentChatResponse
 from llama_index.core.tools import ToolOutput
 from pydantic import BaseModel
-from app.api.routers.request.base import userMng, conversations,message,parameter
+from app.api.routers.request.base import userMng, conversations,message,parameter,feedback
+from app.api.routers.request.baseConfig import *
 from app.api.routers.request.models import ChatRequestData,ChatFileUploadRequest
 from app.engine import get_chat_engine
 import uuid
@@ -102,77 +104,6 @@ class ChatCallbackEvent(BaseModel):
             logger.error(f"转换回应时间时发生错误，原因: {e}")
             return None
 
-class ChatEventCallbackHandler(BaseCallbackHandler):
-    _aqueue: asyncio.Queue
-    is_done: bool = False
-
-    def __init__(
-            self,
-    ):
-        """Initialize the base callback handler."""
-        ignored_events = [
-            # CBEventType.CHUNKING,
-            # CBEventType.NODE_PARSING,
-            # CBEventType.EMBEDDING,
-            # CBEventType.LLM,
-            # CBEventType.TEMPLATING,
-        ]
-        super().__init__(ignored_events, ignored_events)
-        self._aqueue = asyncio.Queue()
-
-    def on_event_start(
-            self,
-            event_type: CBEventType,
-            payload: Optional[Dict[str, Any]] = None,
-            event_id: str = "",
-            **kwargs: Any,
-    ) -> str:
-        logger.info("event_start:{} type:{} payload:{}\n".format(event_id, event_type, payload))
-
-        event = ChatCallbackEvent(event_id=event_id, event_type=event_type, payload=payload)
-        if event.to_response() is not None:
-            self._aqueue.put_nowait(event)
-
-    def on_event_end(
-            self,
-            event_type: CBEventType,
-            payload: Optional[Dict[str, Any]] = None,
-            event_id: str = "",
-            **kwargs: Any,
-    ) -> None:
-        logger.info("event_end:{} type:{} payload:{}\n".format(event_id, event_type, payload))
-        event = ChatCallbackEvent(event_id=event_id, event_type=event_type, payload=payload)
-        if event.to_response() is not None:
-            self._aqueue.put_nowait(event)
-
-    def start_trace(self, trace_id: Optional[str] = None) -> None:
-        """No-op."""
-        logger.info("trace_start:{}\n".format(trace_id))
-
-    def end_trace(
-            self,
-            trace_id: Optional[str] = None,
-            trace_map: Optional[Dict[str, List[str]]] = None,
-    ) -> None:
-        """No-op."""
-        logger.info("trace_end:{} trace_map:{}\n".format(trace_id, trace_map))
-
-    async def async_event_gen(self) -> AsyncGenerator[ChatCallbackEvent, None]:
-        while not self._aqueue.empty() or not self.is_done:
-            try:
-                yield await asyncio.wait_for(self._aqueue.get(), timeout=0.1)
-            except asyncio.TimeoutError:
-                pass
-
-class IDManager:
-    def createID(self):
-        return {
-            "message_id" : str(uuid.uuid4()),
-            'task_id':str(uuid.uuid4()),
-            'workflow_run_id': str(uuid.uuid4()),
-            "workflow_id": str(uuid.uuid4())
-        }
-
 class DifyChatResponseEvent(BaseModel):
     event: str
     conversation_id: str 
@@ -180,7 +111,11 @@ class DifyChatResponseEvent(BaseModel):
     created_at: int = int(time.time())
     task_id: str 
 
+    def to_response(self):
+        return self.dict()
+
 class Workflow_started_DifyChatResponseEvent(DifyChatResponseEvent):
+    event: str = 'workflow_started'
     workflow_run_id:str 
     data:Dict[str,Any]
     def __init__(self,**args):
@@ -196,14 +131,13 @@ class Workflow_started_DifyChatResponseEvent(DifyChatResponseEvent):
             },
             "created_at": int(time.time())
         }
-        args['event'] = 'workflow_started'
         super().__init__(**args)
    
 class Workflow_finished_DifyChatResponseEvent(DifyChatResponseEvent):
+    event: str = 'workflow_finished'
     workflow_run_id:str 
     data:Dict[str,Any]
     def __init__(self,**args):
-        args['event'] = 'workflow_finished'
         args['data'] =  {
 		    "id": args['workflow_run_id'],
 		    "workflow_id": args['workflow_id'],
@@ -227,41 +161,219 @@ class Workflow_finished_DifyChatResponseEvent(DifyChatResponseEvent):
         super().__init__(**args)
 
 class Message_DifyChatResponseEvent(DifyChatResponseEvent):
+    event: str = 'message'
     id:str 
     answer:str
     def __init__(self,**args):
         args['id'] = args['message_id']
-        args['event'] = 'message'
         super().__init__(**args)
 
 class MessageEnd_DifyChatResponseEvent(DifyChatResponseEvent):
+    event: str = 'message_end'
     id:str
     metadata:Dict[str,Any] = {}
     def __init__(self,**args):
         args['id'] = args['message_id']
-        args['event'] = 'message_end'
         super().__init__(**args)
 
+class Node_started_DifyChatResponseEvent(DifyChatResponseEvent):
+    event: str = 'node_started'
+    workflow_run_id:str
+    data:Dict[str,Any]
+    def __init__(self,**args):
+        args['data'] = {
+            "id": args['nodeid'],
+            "node_id": args['nodeid'],
+            "node_type": "http-request",
+            "title": args['title'],
+            "index": args['index'],
+            "predecessor_node_id": args['predecessor_node_id'],
+            "inputs": '',
+            "created_at": 1724398751,
+            "extras": {}
+        }
+        super().__init__(**args)
+
+class Node_finished_DifyChatResponseEvent(DifyChatResponseEvent):
+    event: str = 'node_finished'
+    workflow_run_id:str
+    data:Dict[str,Any]
+    def __init__(self,**args):
+        args['data'] = {
+            "id": args['nodeid'],
+            "node_id": args['nodeid'],
+            "node_type": "http-request",
+            "title": args['title'],
+            "index": args['index'],
+            "predecessor_node_id": args['predecessor_node_id'],
+            "inputs": '',
+            "process_data": '',
+            "outputs": '',
+            "status": "succeeded",
+            "error": '',
+            "elapsed_time": 0.10402441816404462,
+            "execution_metadata": '',
+            "created_at": 1724398751,
+            "finished_at": 1724398751,
+            "files": []
+        }
+        super().__init__(**args)
+
+class ChatEventCallbackHandler(BaseCallbackHandler):
+    _aqueue: asyncio.Queue
+    is_done: bool = False
+
+    def __init__(self,**params):
+        """Initialize the base callback handler."""
+        ignored_events = [
+            # CBEventType.CHUNKING,
+            # CBEventType.NODE_PARSING,
+            # CBEventType.EMBEDDING,
+            # CBEventType.LLM,
+            # CBEventType.TEMPLATING,
+        ]
+        super().__init__(ignored_events, ignored_events)
+        self._aqueue = asyncio.Queue()
+        self._response:str = ''
+        self._params:Dict[str,Any] = params
+        self._nodeStack:deque = deque()
+
+        #添加工作流开始事件     
+        ids:Dict[str,Any] = self._params['ids']
+        data:ChatRequestData = self._params['data']
+        args = ids
+        args.update(
+            {
+                'use_id': data.user,
+                'query': data.query,
+                'conversation_id': data.conversation_id  
+            }
+        )
+        wf_event = Workflow_started_DifyChatResponseEvent(**args)
+        if wf_event.to_response() is not None:
+            self._aqueue.put_nowait(wf_event)
+
+    def on_event_start(
+            self,
+            event_type: CBEventType,
+            payload: Optional[Dict[str, Any]] = None,
+            event_id: str = "",
+            **kwargs: Any,
+    ) -> str:
+        logger.info("event_start:{} type:{} payload:{}\n".format(event_id, event_type, payload))
+
+        self._nodeStack.append(event_id)      
+        nindex = self._nodeStack.count() - 1
+
+        ids:Dict[str,Any] = self._params['ids']
+        args = ids
+        args.update(
+            {
+                'nodeid':event_id,
+                'title':event_type.name,
+                'index':nindex + 1,
+                'predecessor_node_id': self._nodeStack[nindex - 1] if nindex > 0 else ''
+            }
+        )
+        nd_event = Node_started_DifyChatResponseEvent(**args)
+        if nd_event.to_response() is not None:
+            self._aqueue.put_nowait(nd_event)
+
+
+    def on_event_end(
+            self,
+            event_type: CBEventType,
+            payload: Optional[Dict[str, Any]] = None,
+            event_id: str = "",
+            **kwargs: Any,
+    ) -> None:
+        logger.info("event_end:{} type:{} payload:{}\n".format(event_id, event_type, payload))
+        
+        #self.response = payload.get("response","")
+        args:Dict[str,Any] = self._params['ids']
+        nodeID = self._nodeStack[-1]
+        if nodeID == event_id:
+            nindex = self._nodeStack.count() - 1
+            args.update(
+                {
+                    'nodeid':event_id,
+                    'title':event_type.name,
+                    'index':nindex + 1,
+                    'predecessor_node_id':self._nodeStack[nindex - 1] if nindex > 0 else ''
+                }
+            )
+            nd_event = Node_finished_DifyChatResponseEvent(**args)
+            if nd_event.to_response() is not None:
+                self._aqueue.put_nowait(nd_event)
+            self._nodeStack.pop()
+
+
+    def start_trace(self, trace_id: Optional[str] = None) -> None:
+        """No-op."""
+        logger.info("trace_start:{}\n".format(trace_id))
+
+    def end_trace(
+            self,
+            trace_id: Optional[str] = None,
+            trace_map: Optional[Dict[str, List[str]]] = None,
+    ) -> None:
+        """No-op."""
+        logger.info("trace_end:{} trace_map:{}\n".format(trace_id, trace_map))
+        ids:Dict[str,Any] = self._params['ids']
+        data:ChatRequestData = self._params['data']    
+        args = ids
+        args.update(
+            {
+                'response':self._response,
+                'conversation_id': data.conversation_id
+            }
+        )
+        wf_event = Workflow_finished_DifyChatResponseEvent(**args)
+        if wf_event.to_response() is not None:
+            self._aqueue.put_nowait(wf_event)
+
+        
+        args = ids
+        msgEnt_event = MessageEnd_DifyChatResponseEvent(**args)
+        if msgEnt_event.to_response() is not None:
+            self._aqueue.put_nowait(msgEnt_event)                 
+
+    async def async_event_gen(self) -> AsyncGenerator[ChatCallbackEvent, None]:
+        while not self._aqueue.empty() or not self.is_done:
+            try:
+                yield await asyncio.wait_for(self._aqueue.get(), timeout=0.1)
+            except asyncio.TimeoutError:
+                pass
+
+class IDManager:
+    def createID(self):
+        return {
+            "message_id" : str(uuid.uuid4()),
+            'task_id':str(uuid.uuid4()),
+            'workflow_run_id': str(uuid.uuid4()),
+            "workflow_id": str(uuid.uuid4())
+        }
+
 class ChatStreamResponse(StreamingResponse):
     TEXT_PREFIX = "data: "
     DATA_PREFIX = "data: "
+    ids:Dict[str,Any] = {}
+    data:ChatRequestData = None
 
     @classmethod
-    def convert_text(cls, token: str):
-        # Escape newlines and double quotes to avoid breaking the stream
-        #token = json.dumps(token)
-
-        #return f"data: {{"event": "message", "conversation_id": "80d85523-de92-4b9d-aca0-c48a5eacb068", "message_id": "16a06b1b-a89b-49c0-bc15-123bd999f6d6", "created_at": 1724406492, "task_id": "802f3064-030d-42ac-a882-0e1293712d04", "id": "16a06b1b-a89b-49c0-bc15-123bd999f6d6", "answer": "{token}"}}"
-        return "\n"
-
-    @classmethod
-    def convert_data(cls, data: dict):
-        data_str = json.dumps(data)
+    def convert_Message(cls, token: str):
+        params = cls.ids
+        params.update({
+            'answer':token,
+            'conversation_id':cls.data.conversation_id
+        })
+        event = Message_DifyChatResponseEvent(**params)
+        data_str = json.dumps(event.dict())
         return f"{cls.DATA_PREFIX}{data_str}\n\n"
 
     @classmethod
-    def convert_event(cls, event: DifyChatResponseEvent):
-        data_str = json.dumps(event.dict())
+    def convert_Event(cls, data: dict):
+        data_str = json.dumps(data)
         return f"{cls.DATA_PREFIX}{data_str}\n\n"
 
     def __init__(
@@ -269,8 +381,11 @@ class ChatStreamResponse(StreamingResponse):
             request: Request,
             event_handler: ChatEventCallbackHandler,
             response: StreamingAgentChatResponse,
-            data: ChatRequestData
+            data: ChatRequestData,
+            ids:Dict[str,Any]
     ):
+        ChatStreamResponse.ids = ids
+        ChatStreamResponse.data = data
         content = ChatStreamResponse.content_generator(
             request, event_handler, response, data
         )
@@ -284,41 +399,26 @@ class ChatStreamResponse(StreamingResponse):
             response: StreamingAgentChatResponse,
             data: ChatRequestData
     ):
-        ids = IDManager().createID()
+        
         # Yield the text response
         async def _chat_response_generator():
             final_response = ""
             async for token in response.async_response_gen():
                 final_response += token
-                args = ids
-                args['answer'] = token
-                args['conversation_id'] = data.conversation_id
-                event = Message_DifyChatResponseEvent(**args)
-                yield ChatStreamResponse.convert_event(event)
-                #yield ChatStreamResponse.convert_text(token)
+                yield ChatStreamResponse.convert_Message(token)
 
             # 存储消息历史
             message().add(user_id=data.user,conversation_id=data.conversation_id,query=data.query,answer=final_response)
 
             # the text_generator is the leading stream, once it's finished, also finish the event stream
             event_handler.is_done = True
-            # 发送工作流结束事件
-            args = ids
-            args['response'] = final_response
-            args['conversation_id'] = data.conversation_id
-            wf_event = Workflow_finished_DifyChatResponseEvent(**args)
-            yield ChatStreamResponse.convert_event(wf_event)
-
-            msgEnt_event = MessageEnd_DifyChatResponseEvent(**ids)
-            yield ChatStreamResponse.convert_event(msgEnt_event)         
-
        
         # Yield the events from the event handler
         async def _event_generator():
             async for event in event_handler.async_event_gen():
                 event_response = event.to_response()
                 if event_response is not None:
-                    yield ChatStreamResponse.convert_text("")
+                    yield ChatStreamResponse.convert_Event(event_response)
 
         combine = stream.merge(_chat_response_generator(), _event_generator())
         is_stream_started = False
@@ -327,25 +427,11 @@ class ChatStreamResponse(StreamingResponse):
                 if not is_stream_started:
                     is_stream_started = True
 
-                    # 发送工作流开始事件
-                    args = ids
-                    args['use_id'] = data.user
-                    args['query'] = data.query
-                    args['conversation_id'] = data.conversation_id
-                    wf_event = Workflow_started_DifyChatResponseEvent(**args)
-                    yield ChatStreamResponse.convert_event(wf_event)
-
-                    # Stream a blank message to start the stream
-                    # 发送一个空消息事件
-                    #yield ChatStreamResponse.convert_text("")
-
                 yield output
 
                 if await request.is_disconnected():
                     break
 
-
-
 @v.post("/chat-messages")
 async def post_conversations(request: Request, data: ChatRequestData):
     userMng.findNoExistCreate(data.user)
@@ -365,14 +451,15 @@ async def post_conversations(request: Request, data: ChatRequestData):
     chat_engine = get_chat_engine(filters=filters, params=params)
 
     # 启动聊天事件监听
-    event_handler = ChatEventCallbackHandler()
+    ids = IDManager().createID()
+    event_handler = ChatEventCallbackHandler(ids = ids,data = data)
     chat_engine.callback_manager.handlers.append(event_handler)  # type: ignore
 
     # 执行异步聊天
     response = await chat_engine.astream_chat(data.query)
 
     # 返回异步消息回应
-    return ChatStreamResponse(request, event_handler, response, data)
+    return ChatStreamResponse(request, event_handler, response, data,ids)
 
 @v.get("/messages")
 async def query_messages(user:str, conversation_id:str):
@@ -388,8 +475,9 @@ async def query_messages(user:str, conversation_id:str):
 
     for record in records:
         res = record.dict()
+        feeds = feedback().query(res['id'])  
         res["message_files"] = []
-        res["feedback"] = ''
+        res["feedback"] = {'rating':feeds['rating'] } if feeds != None else ''
         res["retriever_resources"] = []
         res["created_at"] = 1723444905
         res["agent_thoughts"] = []
@@ -440,48 +528,22 @@ async def query_conversations(user:str, first_id:str = None, limit:str = None, p
 async def query_parameters(user:str):
     params = parameter().get(user)
     if len(params) == 0:
-        params = {
-                "opening_statement": "您好，我是配网D3造价软件小助手，您可以问我有关配网造价软件的相关问题！",
-                "suggested_questions": [],
-                "suggested_questions_after_answer": {
-                    "enabled": False
-                },
-                "speech_to_text": {
-                    "enabled": False
-                },
-                "text_to_speech": {
-                    "enabled": False,
-                    "language": "",
-                    "voice": ""
-                },
-                "retriever_resource": {
-                    "enabled": True
-                },
-                "annotation_reply": {
-                    "enabled": False
-                },
-                "more_like_this": {
-                    "enabled": False
-                },
-                "user_input_form": [],
-                "sensitive_word_avoidance": {
-                    "enabled": False
-                },
-                "file_upload": {
-                    "image": {
-                        "enabled": False,
-                        "number_limits": 3,
-                        "transfer_methods": [
-                            "remote_url"
-                        ]
-                    }
-                },
-                "system_parameters": {
-                    "image_file_size_limit": "10"
-                }
-            }  
+        params = BaseConfig().ParamterCfg() 
     return params
 
+@v.post("/messages/{message_id}/feedbacks")
+async def post_feedbacks(request: Request,message_id:str,params:Dict[str,Any]):
+    if params['rating'] =='null':
+        feedback().delete(message_id)
+    else:
+        condition = {'id':message_id}
+        results = message().query(**condition)
+        if len(results) > 0:
+            result = results[0]
+            feedback().add(message_id=message_id,query=result['query'],
+                        answer=result['answer'],rating=params['rating'])
+
 @r.post("")
 def upload_file(request: ChatFileUploadRequest) -> List[str]:
     pass
+

backend/app/api/routers/request/base.py

@@ -25,7 +25,7 @@ class conversations:
         return None
 
     def add(self,id:str, user_id:str, name:str):
-        template = BaseConfig.ConversationCfg
+        template = BaseConfig().ConversationCfg()
         template['id'] = id
         template['user_id'] = user_id
         template['name'] = name
@@ -111,7 +111,7 @@ class message:
         return datas
 
     def add(self,user_id:str,conversation_id:str,query:str,answer:str):
-        template = BaseConfig.MessageCfg
+        template = BaseConfig.MessageCfg()
         template['id'] = str(uuid.uuid4())
         template['user_id'] = user_id
         template['conversation_id'] = conversation_id
@@ -122,4 +122,34 @@ class message:
     def delete(self,user_id:str):
         dbManage.delete(self._tableName,user_id = user_id)
 
+    def query(self,**condition):
+        results = []
+        records = dbManage.query(self._tableName,**condition)
+        for record in records:
+            results.append(record.dict())
+        return results        
 
+class feedback:
+    def __init__(self) -> None:
+        self._tableName = 'feedbacks'
+        dbManage.createTable(self._tableName)
+
+    def add(self,message_id:str,query:str,answer:str,rating:str):
+        record = {
+            'message_id': message_id,
+            'query': query,  
+            'answer': answer,  
+            'rating': rating,  
+        }
+        dbManage.addRecord(self._tableName,record)
+ 
+    def delete(self,message_id:str):
+        cond = {'message_id':message_id}
+        dbManage.delete(self._tableName,**cond)
+    
+    def query(self,message_id:str):
+        cond = {'message_id':message_id}
+        records = dbManage.query(self._tableName,**cond)
+        if len(records) > 0:
+            return records[0].dict()    
+        return None

backend/app/api/routers/request/baseConfig.py

@@ -1,62 +1,71 @@
+from pydantic import BaseModel
+import os
+class BaseConfig(BaseModel):
+	projectInfo:str = os.getenv("PROJECT_TITLE","您好，我是博微工程理解小助手，您可以问我有关[线路工程]工程数据的相关问题！")
 
-class BaseConfig:
-	ParamterCfg = {
-		"opening_statement": "您好，我是配网D3造价软件小助手，您可以问我有关配网造价软件的相关问题！",
-		"suggested_questions": [],
-		"suggested_questions_after_answer": {
-			"enabled": False
-		},
-		"speech_to_text": {
-			"enabled": False
-		},
-		"text_to_speech": {
-			"enabled": False,
-			"language": "",
-			"voice": ""
-		},
-		"retriever_resource": {
-			"enabled": True
-		},
-		"annotation_reply": {
-			"enabled": False
-		},
-		"more_like_this": {
-			"enabled": False
-		},
-		"user_input_form": [],
-		"sensitive_word_avoidance": {
-			"enabled": False
-		},
-		"file_upload": {
-			"image": {
+	def ParamterCfg(self):
+		questions = os.getenv("CONVERSATION_STARTERS", "dev")
+		return{
+			"opening_statement": self.projectInfo,
+			"suggested_questions": questions.split('\n'),
+			"suggested_questions_after_answer": {
+				"enabled": False
+			},
+			"speech_to_text": {
+				"enabled": False
+			},
+			"text_to_speech": {
 				"enabled": False,
-				"number_limits": 3,
-				"transfer_methods": [
-					"remote_url"
-				]
+				"language": "",
+				"voice": ""
+			},
+			"retriever_resource": {
+				"enabled": True
+			},
+			"annotation_reply": {
+				"enabled": False
+			},
+			"more_like_this": {
+				"enabled": False
+			},
+			"user_input_form": [],
+			"sensitive_word_avoidance": {
+				"enabled": False
+			},
+			"file_upload": {
+				"image": {
+					"enabled": False,
+					"number_limits": 3,
+					"transfer_methods": [
+						"remote_url"
+					]
+				}
+			},
+			"system_parameters": {
+				"image_file_size_limit": "10"
 			}
-		},
-		"system_parameters": {
-			"image_file_size_limit": "10"
 		}
-	}
 	
-	ConversationCfg = {
-		"id": "",
-		'user_id':'',
-		"name": "",
-		"inputs": {},
-		"status": "normal",
-		"introduction": ParamterCfg['opening_statement'],
-		"created_at":''
-	}
+	def ConversationCfg(self):
+		return{
+			"id": "",
+			'user_id':'',
+			"name": "",
+			"inputs": {},
+			"status": "normal",
+			"introduction": self.projectInfo,
+			"created_at":''
+		}
 
-
-	MessageCfg = {
+	@classmethod 
+	def MessageCfg(cls):
+		return {
 		    "id": "",
 			'user_id':'',
             "conversation_id": "",
             "inputs": {},
             "query": "",
             "answer": ""
-	}
+		}
+
+

backend/app/api/routers/request/dbOrm.py

@@ -2,7 +2,7 @@ import os
 from typing import Dict, List, Any
 
 from pydantic import BaseModel
-from sqlalchemy import create_engine, Column, String, Integer, JSON
+from sqlalchemy import create_engine, Column, String, Integer, JSON,Float
 from sqlalchemy.engine.reflection import Inspector
 from sqlalchemy.orm import sessionmaker, declarative_base
 
@@ -24,10 +24,6 @@ class ConversationOrm(Base):
         if 'name' in data:
             self.name = data['name']
 
-
-
-
-
 class UserOrm(Base):
     __tablename__ = "user"
 
@@ -51,6 +47,14 @@ class MessagesOrm(Base):
     query = Column(String)
     answer = Column(String)
 
+class FeedBackOrm(Base):
+    __tablename__ = "feedbacks"
+
+    message_id = Column(String,primary_key=True)
+    query = Column(String)
+    answer = Column(String)
+    rating = Column(String)
+
 #数据结构
 class ConversationModel(BaseModel):
     id: str
@@ -61,7 +65,6 @@ class ConversationModel(BaseModel):
     created_at: int
 
     class Config:
-        #orm_mode = True
         from_attributes=True
 
     @classmethod
@@ -73,7 +76,6 @@ class UserModel(BaseModel):
     createtime: str
 
     class Config:
-        #orm_mode = True
         from_attributes=True
 
     @classmethod
@@ -86,7 +88,6 @@ class ParametersModel(BaseModel):
     value : Dict[str, Any]
 
     class Config:
-        #orm_mode = True
         from_attributes=True
 
     @classmethod
@@ -101,13 +102,25 @@ class MessagesModel(BaseModel):
     answer : str
 
     class Config:
-        #orm_mode = True
         from_attributes=True
 
     @classmethod
     def orm(cls):
         return MessagesOrm
 
+class FeedBackModel(BaseModel):
+    message_id :str
+    query :str
+    answer :str
+    rating :str
+
+    class Config:
+        from_attributes=True
+
+    @classmethod
+    def orm(cls):
+        return FeedBackOrm
+
 class DBManager:
     def __init__(self) -> None:
         DATABASE_URL = os.getenv("SQLITE_DATABASE_URL")

backend/app/api/routers/request/models.py

@@ -1,7 +1,7 @@
 
 from typing import Dict, Any
 from pydantic import BaseModel
-
+from typing import Optional
 
 class ChatRequestData(BaseModel):
     inputs: Dict[str,Any]
@@ -13,3 +13,5 @@ class ChatRequestData(BaseModel):
 
 class ChatFileUploadRequest(BaseModel):
     base64: str
+
+