HealthBridge / main.py
Arpit-Bansal's picture
Updated Query Classifier
975d8af
from fastapi import FastAPI, Request
from fastapi.middleware.cors import CORSMiddleware
import os
from fastapi import HTTPException
# from agent import agent_with_db
from langgraph_agent import agent_with_db
from schemas import request
from dotenv import load_dotenv
load_dotenv()
app = FastAPI()
allowed_origins = os.getenv("ALLOWED_ORIGINS").split(',')
app.add_middleware(
CORSMiddleware,
allow_origins=allowed_origins,
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
global agent
agent = agent_with_db()
async def parse_user_data(user_data):
if user_data is None:
return "No user data available"
# Ensure input is a dictionary
if not isinstance(user_data, dict):
raise ValueError("Input must be a dictionary or None")
# Create user info dictionary with default values
user_info = {
"state_user_belongs_to": (
user_data.get("state") if user_data.get("state") is not None
else "No state information available"
),
"sex_of_user": (
user_data.get("gender") if user_data.get("gender") is not None
else "Information not available"
)
}
return user_info
@app.post("/retrieve", status_code=200)
async def retrieve(request:request, url:Request):
try:
prev_conv = request.previous_state
user_info = await parse_user_data(request.user_data)
if prev_conv is None:
prev_conv = "No previous conversation available, first time"
query = request.query
prev_conv = str(prev_conv)
# user_info = str(user_info) # Was needed in Old-Rag not needed in LangGraph-Rag.
# Did a mistake by choosing to string format for Old-Rag
response = agent({"query": query, "previous_conversation": prev_conv, "user_data": user_info, "style": request.user_data["style"]})
origin = url.headers.get('origin')
if origin is None:
origin = url.headers.get('referer')
print("origin: ", origin)
return {"response": response["result"]}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))