Files
zjdataai-app/backend/app/api/routers/app.py
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2024-08-29 19:52:53 +08:00

491 lines
17 KiB
Python

import asyncio
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
from fastapi.responses import StreamingResponse
from llama_index.core import BaseCallbackHandler
from llama_index.core.base.llms.types import ChatMessage
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,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
logger = logging.getLogger("uvicorn")
api_router = r = APIRouter()
v1_router = v = APIRouter()
class ChatCallbackEvent(BaseModel):
event_type: ChatEventType
payload: Optional[Dict[str, Any]] = 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_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 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_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
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 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 "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:
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,**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
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,
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
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,
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 = 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."""
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))
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:
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_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, data: dict):
data_str = json.dumps(data)
return f"{cls.DATA_PREFIX}{data_str}\n\n"
def __init__(
self,
request: Request,
event_handler: ChatEventCallbackHandler,
response: StreamingAgentChatResponse,
data: ChatRequestData,
ids:Dict[str,Any]
):
ChatStreamResponse.ids = ids
ChatStreamResponse.data = data
content = ChatStreamResponse.content_generator(
request, event_handler, response, data
)
super().__init__(content=content)
@classmethod
async def content_generator(
cls,
request: Request,
event_handler: ChatEventCallbackHandler,
response: StreamingAgentChatResponse,
data: ChatRequestData
):
# Yield the text response
async def _chat_response_generator():
final_response = ""
async for token in response.async_response_gen():
final_response += 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
# 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_Event(event_response)
combine = stream.merge(_chat_response_generator(), _event_generator())
is_stream_started = False
async with combine.stream() as streamer:
async for output in streamer:
if not is_stream_started:
is_stream_started = True
yield output
if await request.is_disconnected():
break
@v.post("/chat-messages")
async def post_conversations(request: Request, data: ChatRequestData):
userMng.findNoExistCreate(data.user)
data.conversation_id = data.conversation_id if data.conversation_id else str(uuid.uuid4())
conversaObj = conversations()
conversationinfo = conversaObj.get(data.conversation_id)
if conversationinfo is None:
conversationinfo = conversaObj.add(data.conversation_id, data.user, "新建会话")
# 生成聊天参数
last_message_content = ChatMessage.from_str(data.query)
filters = None
params = data.inputs or {}
# 获取聊天引擎对象
chat_engine = get_chat_engine(filters=filters, params=params)
# 启动聊天事件监听
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,ids)
@v.get("/messages")
async def query_messages(user:str, conversation_id:str):
#conversation_id = default_conversation_id if conversation_id is None else conversation_id
datas = []
records = message().gets(user,conversation_id)
if records is None:
return {
"limit": 20,
"has_more": False,
"data": []
}
for record in records:
res = record.dict()
feeds = feedback().query(res['id'])
res["message_files"] = []
res["feedback"] = {'rating':feeds['rating'] } if feeds != None else ''
res["retriever_resources"] = []
res["created_at"] = 1723444905
res["agent_thoughts"] = []
res["status"] = "normal"
res["error"] = ''
datas.append(res)
return {
"limit": 20,
"has_more": False,
"data": datas
}
@v.post("/conversations/{itemid}/name")
async def post_conversations(request: Request,itemid:str,params:Dict[str,Any]):
consaObj = conversations()
consaObj.rename(itemid,'知识问答')
cond = {
'id':itemid,
'user_id':params['user']
}
results = consaObj.query(**cond)
if len(results) > 0:
res = results[0]
return {
"id": res['id'],
"name": res['name'],
"inputs": res['inputs'],
"status": res['status'],
"introduction": res['introduction'],
"created_at": res['created_at'],
#"工程位置"
}
return 'null'
@v.get("/conversations")
async def query_conversations(user:str, first_id:str = None, limit:str = None, pinned:str = None):
user_id = '' if user is None else user
userMng.findNoExistCreate(user_id)
return {
"limit": 20,
"has_more": False,
"data": conversations().gets(user_id)
}
@v.get("/parameters")
async def query_parameters(user:str):
params = parameter().get(user)
if len(params) == 0:
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