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Merge branch 'dev' of https://git.97id.com/ly/zjdataai-app into dev

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This commit is contained in:
chentianrui
2024-08-30 18:40:32 +08:00
parent 6663ee8976 03c4eb1af1
commit 680e24c516
7 changed files with 362 additions and 294 deletions
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backend/.env.example
+1
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@@ -80,3 +80,4 @@ SYSTEM_PROMPT="You are a weather forecast agent. You help users to get the weath
- You can install any pip package (if it exists) by running a cell with pip install.
"
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！"
backend/.env.xinference
+1
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@@ -111,3 +111,4 @@ SYSTEM_PROMPT="You are a weather forecast agent. You help users to get the weath
- You can install any pip package (if it exists) by running a cell with pip install.
"
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！"
backend/app/api/routers/app.py
+231 -228
View File
@@ -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
@@ -24,78 +26,138 @@ api_router = r = APIRouter()
v1_router = v = APIRouter()
class ChatCallbackEvent(BaseModel):
event_type: CBEventType
event_type: ChatEventType
payload: Optional[Dict[str, Any]] = None
event_id: str = ""
def get_retrieval_message(self) -> dict | None:
if self.payload:
nodes = self.payload.get("nodes")
if nodes:
msg = f"根据查询检索到 {len(nodes)} 源文件"
else:
msg = f"查询检索中: '{self.payload.get('query_str')}'"
return {
"type": "events",
"data": {"title": msg},
}
else:
return None
def get_common_param(self)-> dict:
return {
'event': self.event_type.name,
'conversation_id':self.payload.get("conversation_id"),
'message_id': self.payload.get("message_id"),
'created_at': int(time.time()),
'task_id': self.payload.get("task_id")
}
def get_tool_message(self) -> dict | None:
func_call_args = self.payload.get("function_call")
if func_call_args is not None and "tool" in self.payload:
tool = self.payload.get("tool")
return {
"type": "events",
"data": {
"title": f"调用工具 {tool.name} ，参数: {func_call_args}",
def get_WorkflowStart_param(self) -> dict:
params = self.get_common_param()
params.update({
'workflow_run_id':self.payload.get('workflow_run_id'),
'data':{
"id": self.payload.get('workflow_run_id'),
"workflow_id": self.payload.get('workflow_id'),
"sequence_number": 1709,
"inputs": {
"sys.query": self.payload.get('query'),
"sys.files": [],
"sys.conversation_id": self.payload.get('conversation_id'),
"sys.user_id": self.payload.get('use_id')
},
"created_at": int(time.time())
}
})
return params
def _is_output_serializable(self, output: Any) -> bool:
try:
json.dumps(output)
return True
except TypeError:
return False
def get_WorkflowFinished_param(self) -> dict:
params = self.get_common_param()
params.update({
'workflow_run_id':self.payload.get('workflow_run_id'),
'data':{
"id": self.payload.get('workflow_run_id'),
"workflow_id": self.payload.get('workflow_id'),
"sequence_number": 1709,
"status": "succeeded",
"outputs": {
"answer": self.payload.get('response')
},
"error": '',
"elapsed_time": 36.03764106379822,
"total_tokens": 11707,
"total_steps": 10,
"created_by": {
"id": str(uuid.uuid4()),
"user": self.payload.get('use_id')
},
"created_at": int(time.time()),
"finished_at": int(time.time()),
"files": []
}
})
return params
def get_agent_tool_response(self) -> dict | None:
response = self.payload.get("response")
if response is not None:
sources = response.sources
for source in sources:
# Return the tool response here to include the toolCall information
if isinstance(source, ToolOutput):
if self._is_output_serializable(source.raw_output):
output = source.raw_output
else:
output = source.content
def get_NodeStart_param(self) -> dict:
params = self.get_common_param()
params.update({
'workflow_run_id':self.payload.get('workflow_run_id'),
'data':{
"id": self.payload.get('nodeid'),
"node_id": self.payload.get('nodeid'),
"node_type": "http-request",
"title": self.payload.get('title'),
"index": self.payload.get('index'),
"predecessor_node_id": self.payload.get('predecessor_node_id'),
"inputs": '',
"created_at": 1724398751,
"extras": {}
}
})
return params
return {
"type": "tools",
"data": {
"toolOutput": {
"output": output,
"isError": source.is_error,
},
"toolCall": {
"id": None, # There is no tool id in the ToolOutput
"name": source.tool_name,
"input": source.raw_input,
},
},
}
def get_NodeFinished_param(self) -> dict:
params = self.get_common_param()
params.update({
'workflow_run_id':self.payload.get('workflow_run_id'),
'data':{
"id": self.payload.get('nodeid'),
"node_id": self.payload.get('nodeid'),
"node_type": "http-request",
"title": self.payload.get('title'),
"index": self.payload.get('index'),
"predecessor_node_id": self.payload.get('predecessor_node_id'),
"inputs": '',
"process_data": '',
"outputs": '',
"status": "succeeded",
"error": '',
"elapsed_time": 0.10402441816404462,
"execution_metadata": '',
"created_at": 1724398751,
"finished_at": 1724398751,
"files": []
}
})
return params
def to_response(self):
def get_Message_param(self) -> dict:
params = self.get_common_param()
params.update({
'id':self.payload.get('message_id'),
'answer':self.payload.get('answer')
})
return params
def get_MessageEnd_param(self) -> dict:
params = self.get_common_param()
params.update({
'id':self.payload.get('message_id'),
'metadata':self.payload.get('metadata')
})
return params
def to_response(self)-> dict|None:
try:
match self.event_type:
case "retrieve":
return self.get_retrieval_message()
case "function_call":
return self.get_tool_message()
case "agent_step":
return self.get_agent_tool_response()
case "workflow_started":
return self.get_WorkflowStart_param()
case "workflow_finished":
return self.get_WorkflowFinished_param()
case "node_started":
return self.get_NodeStart_param()
case 'node_finished':
return self.get_NodeFinished_param()
case 'message':
return self.get_Message_param()
case 'message_end':
return self.get_MessageEnd_param()
case _:
return None
except Exception as e:
@@ -106,9 +168,7 @@ class ChatEventCallbackHandler(BaseCallbackHandler):
_aqueue: asyncio.Queue
is_done: bool = False
def __init__(
self,
):
def __init__(self,**params):
"""Initialize the base callback handler."""
ignored_events = [
# CBEventType.CHUNKING,
@@ -119,6 +179,23 @@ class ChatEventCallbackHandler(BaseCallbackHandler):
]
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
data:ChatRequestData = self._params['data']
args:Dict[str,Any] = self._params['ids']
args.update(
{
'use_id': data.user,
'query': data.query,
'conversation_id': data.conversation_id
}
)
wf_event = ChatCallbackEvent(event_type = ChatEventType.WORKFLOW_START,payload = args)
if wf_event.to_response() is not None:
self._aqueue.put_nowait(wf_event)
def on_event_start(
self,
@@ -129,9 +206,21 @@ class ChatEventCallbackHandler(BaseCallbackHandler):
) -> 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)
self._nodeStack.append(event_id)
nindex = self._nodeStack.count() - 1
args:Dict[str,Any] = self._params['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 = ChatCallbackEvent(event_type = ChatEventType.NODE_START,payload = args)
if nd_event.to_response() is not None:
self._aqueue.put_nowait(nd_event)
def on_event_end(
self,
@@ -141,9 +230,25 @@ class ChatEventCallbackHandler(BaseCallbackHandler):
**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)
#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 = ChatCallbackEvent(event_type = ChatEventType.NODE_FINISHED,payload = 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."""
@@ -156,6 +261,23 @@ class ChatEventCallbackHandler(BaseCallbackHandler):
) -> None:
"""No-op."""
logger.info("trace_end:{} trace_map:{}\n".format(trace_id, trace_map))
data:ChatRequestData = self._params['data']
args:Dict[str,Any] = self._params['ids']
args.update(
{
'response':self._response,
'conversation_id': data.conversation_id
}
)
wf_event = ChatCallbackEvent(event_type = ChatEventType.WORKFLOW_FINISHED,payload = args)
if wf_event.to_response() is not None:
self._aqueue.put_nowait(wf_event)
args:Dict[str,Any] = self._params['ids']
msgEnt_event = ChatCallbackEvent(event_type = ChatEventType.MESSAGE_END,payload = 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:
@@ -173,95 +295,26 @@ class IDManager:
"workflow_id": str(uuid.uuid4())
}
class DifyChatResponseEvent(BaseModel):
event: str
conversation_id: str
message_id: str
created_at: int = int(time.time())
task_id: str
class Workflow_started_DifyChatResponseEvent(DifyChatResponseEvent):
workflow_run_id:str
data:Dict[str,Any]
def __init__(self,**args):
args['data'] = {
"id": args['workflow_run_id'],
"workflow_id": args['workflow_id'],
"sequence_number": 1709,
"inputs": {
"sys.query": args['query'],
"sys.files": [],
"sys.conversation_id": args['conversation_id'],
"sys.user_id": args['use_id']
},
"created_at": int(time.time())
}
args['event'] = 'workflow_started'
super().__init__(**args)
class Workflow_finished_DifyChatResponseEvent(DifyChatResponseEvent):
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'],
"sequence_number": 1709,
"status": "succeeded",
"outputs": {
"answer": args['response']
},
"error": '',
"elapsed_time": 36.03764106379822,
"total_tokens": 11707,
"total_steps": 10,
"created_by": {
"id": str(uuid.uuid4()),
"user": args['use_id']
},
"created_at": int(time.time()),
"finished_at": int(time.time()),
"files": []
}
super().__init__(**args)
class Message_DifyChatResponseEvent(DifyChatResponseEvent):
id:str
answer:str
def __init__(self,**args):
args['id'] = args['message_id']
args['event'] = 'message'
super().__init__(**args)
class MessageEnd_DifyChatResponseEvent(DifyChatResponseEvent):
id:str
metadata:Dict[str,Any] = {}
def __init__(self,**args):
args['id'] = args['message_id']
args['event'] = 'message_end'
super().__init__(**args)
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 = ChatCallbackEvent(event_type = ChatEventType.MESSAGE,payload = params)
data_str = json.dumps(event.to_response())
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 +322,11 @@ 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 +340,26 @@ 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 +368,11 @@ 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 +392,15 @@ 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 +416,9 @@ 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 +469,22 @@ 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
+32 -2
View File
@@ -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
+68 -50
View File
@@ -1,62 +1,80 @@
from pydantic import BaseModel
import os
from enum import Enum
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": {
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！")
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": ""
}
}
class ChatEventType(str, Enum):
WORKFLOW_START = "workflow_started"
WORKFLOW_FINISHED = "workflow_finished"
NODE_START = "node_started"
NODE_FINISHED = "node_finished"
MESSAGE = "message"
MESSAGE_END = "message_end"
backend/app/api/routers/request/dbOrm.py
+22 -9
View File
@@ -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
+3 -1
View File
@@ -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