Spaces:
Sleeping
Sleeping
File size: 3,581 Bytes
5a2b2d3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 |
from langchain_core.runnables import Runnable
from langchain_core.callbacks import BaseCallbackHandler
from fastapi import FastAPI, Request, Depends
from sse_starlette.sse import EventSourceResponse
from langserve.serialization import WellKnownLCSerializer
from typing import List
from sqlalchemy.orm import Session
import schemas
from chains import simple_chain
import crud, models, schemas
from database import SessionLocal, engine
from callbacks import LogResponseCallback
models.Base.metadata.create_all(bind=engine)
app = FastAPI()
# def get_db():
# db = SessionLocal()
# try:
# yield db
# finally:
# db.close()
async def generate_stream(input_data: schemas.BaseModel, runnable: Runnable, callbacks: List[BaseCallbackHandler]=[]):
for output in runnable.stream(input_data.dict(), config={"callbacks": callbacks}):
data = WellKnownLCSerializer().dumps(output).decode("utf-8")
yield {'data': data, "event": "data"}
yield {"event": "end"}
@app.post("/simple/stream")
async def simple_stream(request: Request):
data = await request.json()
user_question = schemas.UserQuestion(**data['input'])
return EventSourceResponse(generate_stream(user_question, simple_chain))
# @app.post("/formatted/stream")
# async def formatted_stream(request: Request):
# # TODO: use the formatted_chain to implement the "/formatted/stream" endpoint.
# raise NotImplemented
# def get_db():
# db = SessionLocal()
# try:
# yield db
# finally:
# db.close()
# @app.post("/history/stream")
# async def history_stream(request: Request, db: Session = Depends(get_db)):
# # TODO: Let's implement the "/history/stream" endpoint. The endpoint should follow those steps:
# # - The endpoint receives the request
# # - The request is parsed into a user request
# # - The user request is used to pull the chat history of the user
# # - We add as part of the user history the current question by using add_message.
# # - We create an instance of HistoryInput by using format_chat_history.
# # - We use the history input within the history chain.
# raise NotImplemented
# @app.post("/rag/stream")
# async def rag_stream(request: Request, db: Session = Depends(get_db)):
# # TODO: Let's implement the "/rag/stream" endpoint. The endpoint should follow those steps:
# # - The endpoint receives the request
# # - The request is parsed into a user request
# # - The user request is used to pull the chat history of the user
# # - We add as part of the user history the current question by using add_message.
# # - We create an instance of HistoryInput by using format_chat_history.
# # - We use the history input within the rag chain.
# raise NotImplemented
# @app.post("/filtered_rag/stream")
# async def filtered_rag_stream(request: Request, db: Session = Depends(get_db)):
# # TODO: Let's implement the "/filtered_rag/stream" endpoint. The endpoint should follow those steps:
# # - The endpoint receives the request
# # - The request is parsed into a user request
# # - The user request is used to pull the chat history of the user
# # - We add as part of the user history the current question by using add_message.
# # - We create an instance of HistoryInput by using format_chat_history.
# # - We use the history input within the filtered rag chain.
# raise NotImplemented
if __name__ == "__main__":
import uvicorn
uvicorn.run("main:app", host="localhost", reload=True, port=8000) |