|
|
from contextlib import asynccontextmanager |
|
|
import asyncio |
|
|
from typing import Any, Dict |
|
|
|
|
|
from fastapi.responses import JSONResponse |
|
|
|
|
|
from fastapi import FastAPI |
|
|
|
|
|
from app.api.routes import router as api_router |
|
|
from app.core.openai_client import openai_client |
|
|
from app.db.mongo import close_mongo_connection, connect_to_mongo, get_client |
|
|
|
|
|
|
|
|
@asynccontextmanager |
|
|
async def lifespan(_: FastAPI): |
|
|
await connect_to_mongo() |
|
|
try: |
|
|
yield |
|
|
finally: |
|
|
await close_mongo_connection() |
|
|
|
|
|
|
|
|
app = FastAPI( |
|
|
title="Auto Categorizer API", |
|
|
version="1.0.0", |
|
|
lifespan=lifespan, |
|
|
) |
|
|
|
|
|
app.include_router(api_router, prefix="/api/v1") |
|
|
|
|
|
|
|
|
@app.get("/health", tags=["Health"]) |
|
|
async def health_check() -> Dict[str, Any]: |
|
|
checks: Dict[str, bool] = {"mongo": False, "openai": False} |
|
|
errors: Dict[str, str] = {} |
|
|
|
|
|
|
|
|
mongo_ok, mongo_err = await _run_check(_check_mongo) |
|
|
checks["mongo"] = mongo_ok |
|
|
if mongo_err: |
|
|
errors["mongo"] = mongo_err |
|
|
|
|
|
openai_ok, openai_err = await _run_check(_check_openai) |
|
|
checks["openai"] = openai_ok |
|
|
if openai_err: |
|
|
errors["openai"] = openai_err |
|
|
|
|
|
if errors: |
|
|
return JSONResponse(status_code=503, content={"status": "unhealthy", "checks": checks, "errors": errors}) |
|
|
|
|
|
return {"status": "healthy", "checks": checks} |
|
|
|
|
|
|
|
|
async def _run_check(fn, timeout: float = 5.0) -> tuple[bool, str | None]: |
|
|
try: |
|
|
await asyncio.wait_for(fn(), timeout=timeout) |
|
|
return True, None |
|
|
except Exception as exc: |
|
|
return False, str(exc) |
|
|
|
|
|
|
|
|
async def _check_mongo() -> None: |
|
|
await connect_to_mongo() |
|
|
client = get_client() |
|
|
await client.admin.command("ping") |
|
|
|
|
|
|
|
|
async def _check_openai() -> None: |
|
|
await openai_client.models.list() |
|
|
|