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Runtime error
Runtime error
File size: 1,601 Bytes
11e9a40 338ec2d 11e9a40 314b374 338ec2d 11e9a40 | 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 | from contextlib import asynccontextmanager
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import RedirectResponse
from app.config import settings
from app.database import connect_db, close_db
from app.routes import vitals, auth, devices, health, predictions
@asynccontextmanager
async def lifespan(app: FastAPI):
await connect_db(settings.MONGODB_URI, settings.DATABASE_NAME)
# Load ML models (non-blocking — server starts even if models aren't ready)
try:
from app.services.ml_service import load_models
load_models()
except Exception as e:
print(f"[ML] Could not load models: {e}")
print("[ML] Server will run without predictions until models are available.")
yield
await close_db()
app = FastAPI(
title="Cardiac Monitor API",
version="1.0.0",
description="Backend for ESP32 Heart Rate, SpO2 & ECG Monitor",
lifespan=lifespan,
)
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
@app.get("/", include_in_schema=False)
async def root():
return RedirectResponse(url="/docs")
app.include_router(health.router, prefix="/api/v1", tags=["health"])
app.include_router(auth.router, prefix="/api/v1/auth", tags=["auth"])
app.include_router(vitals.router, prefix="/api/v1/vitals", tags=["vitals"])
app.include_router(predictions.router, prefix="/api/v1/predictions", tags=["predictions"])
app.include_router(devices.router, prefix="/api/v1/devices", tags=["devices"])
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