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
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Don't avoid the cliches - they always work because they are clichés.
In this post, you may face the author's offensive views about people's excessive repeated utterances that are widespread, calling attention to avert them. Basically, let it be on Instagram stories or Facebook profile pictures, you see people who post a picture of Yale, write Yale class of 2029 on the bio, and many similar actions.
Holders could have no issue with posting them, and they are entitled to publish anything they care to do unless they don't publish political statements that can be conceived as an opposing point. By talking with people who already know the ups and downs of US admissions and hearing things I wasn't aware of, I realized that getting into a TOP-20 school requires hard work: nighttime study sessions, countless drafts of the final masterpiece, and dreadful deadlines. But everyone, not just me, can sense that people ignore the pain of those mentioned above and end up somewhere else where they have no desire to pursue their 4-year life.
Rather than writing cool bio captions for NYU'28 or whichever college you dream of, spend time working on crucial components of the college application, check your essays to the expert, scrutinize what actions "99%" applicants are doing, and do the opposite or a bizarreness. My utterances may hurt souls, but I'm showing the truth (ridiculous actions).
Now, get off this app and finalize your college list, which you care less to do. Two months left to catch the golden fish!
#deep
#Deep Research #分享
分享:三款OpenAI Deep Research替代开源项目
https://github.com/nickscamara/open-deep-research
https://github.com/mshumer/OpenDeepResearcher
https://github.com/dzhng/deep-research
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Happiness always look small while you hold it in your hands,
but let it go,
and you will learn at once
how big and precious it is.
– Maxim Gorky
#happiness#deep@quietworld🍃