1. 使用run_in_threadpool或asyncio.to_thread 将同步代码放到线程池中执行,避免阻塞事件循环。 fromfastapiimportFastAPIfromfastapi.concurrencyimportrun_in_threadpoolimporttime app=FastAPI()defsync_function(): time.sleep(5)#模拟一个耗时的同步操作return"Done"@app.get("/") asyncdefroot(): result= awai...
使用fastapi.concurrency.run_in_threadpool,这也将在单独的线程中运行它。像这样: from fastapi.concurrency import run_in_threadpool async def task(data): otherdata = await db.fetch("some sql") newdata = await run_in_threadpool(lambda: somelongcomputation(data, otherdata)) await db.execute("so...
from fastapi import FastAPI, Request, HTTPException from fastapi.concurrency import run_in_threadpool from typing import Dict, Optional import asyncio app = FastAPI() # 用于存储每个接口的并发数 concurrent_requests: Dict[str, int] = {} max_concurrency_per_endpoint: Dict[str, int] = {} # 设置...
使用fastapi.concurrency.run_in_threadpool,这也将在单独的线程中运行它。像这样: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 from fastapi.concurrencyimportrun_in_threadpoolasyncdeftask(data):otherdata=awaitdb.fetch("some sql")newdata=awaitrun_in_threadpool(lambda:somelongcomputation(data,otherda...
使用fastapi.concurrency.run_in_threadpool,这也将在单独的线程中运行它。像这样: from fastapi.concurrency import run_in_threadpool async def task(data): otherdata = await db.fetch("some sql") newdata = await run_in_threadpool(lambda: somelongcomputation(data, otherdata)) ...
使用fastapi.concurrency.run_in_threadpool ,这也将在单独的线程中运行它。像这样: from fastapi.concurrency import run_in_threadpool async def task(data): otherdata = await db.fetch("some sql") newdata = await run_in_threadpool(lambda: somelongcomputation(data, otherdata)) await db.execute("...
举个简单的例子,我们可以使用我们著名的来自 starlette 的 run_in_threadpool。 from fastapi import FastAPI from fastapi.concurrency import run_in_threadpool from my_sync_library import SyncAPIClient app = FastAPI() @app.get("/") async def call_my_sync_library(): my_data = await service.get_...
/usr/bin/env python#_*_ coding: utf-8 _*_#创 建人: 李先生#文 件名: tasks.py#创建时间: 2022/9/29 0029 20:32#@Version:V 0.1#@desc :importasynciofromfunctoolsimportwrapsfromasyncioimportensure_futurefromstarlette.concurrencyimportrun_in_threadpoolfromtypingimportAny, Callable, Coroutine, ...
使用fastapi.concurrency.run_in_threadpool,这也将在单独的线程中运行它。像这样: from fastapi.concurrencyimportrun_in_threadpoolasyncdeftask(data):otherdata=awaitdb.fetch("some sql")newdata=awaitrun_in_threadpool(lambda:somelongcomputation(data,otherdata))awaitdb.execute("some sql",newdata) ...
It would take the same amount of time to finish with or without turns (concurrency) and you would have done the same amount of work.But in this case, if you could bring the 8 ex-cashier/cooks/now-cleaners, and each one of them (plus you) could take a zone of the house to clean...