Недавно делал быстрый прототип асинхронного приложения в котором требовалось вызывать много синхронного кода. Да, я знаю, что это не лучший дизайн, но нужно было быстрое решение на один процесс и без очередей. Поэтому я выполнял код в потоках.
Выглядело это примерно так:
from fastapi.concurrency import run_in_threadpool
async def execute(data: DataRequest) -> DataResponse:
try:
result = await run_in_threadpool(sync_function, data)
return DataResponse(data=result)
except Exception as e:
return DataResponse(
error=str(e),
success=False,
)
В общем работает нормально. Для всех вызовов под капотом используется общий тредпул, всё работает предсказуемо.
Но потребовалось изменить количество запускаемых в пуле потоков (по умолчанию создается 40 воркеров).
Так как дело происходит с FastAPI, делается это через lifespan используя настройки anyio:
import anyio
@asynccontextmanager
async def lifespan(app: FastAPI):
limiter = anyio.to_thread.current_default_thread_limiter()
limiter.total_tokens = 100
yield
# если вдруг нужно вернуть обратно
limiter.total_tokens = 40
Зачем менять количество воркеров?
- уменьшить, если оперативки мало (один тред занимает ~8мб)
- увеличить чтобы выдержать нагрузку
Если есть предложения получше при тех же вводных - предлагайте😉
#async
Good morning, everyone! 🌄
🤔 The cue ball froze around 69.500, but the #Ether, despite the sideways bitcoin, is trying to grow and is trading around 3800. I think that they will try to get through the Air today or tomorrow to the 3.850-3.870 area. But then everything will depend on #Bitcoin: if the cue ball supports the market with growth, then the #Ether will be able to go above $ 4,000.
😎In general, nothing has been dented on the market since yesterday and the alignment is still the same.
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#Ether#Crypto#Ethereum#Undervaluation#PriceIncrease#Investment#CryptoTrading#NS3AI#ETH
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#Bitcoin#Ether#Cryptocurrency#MarketAnalysis#SustainableGrowth#MacroEconomics#CPI#Inflation#BTC#ETH