But if you want to useasync/awaitwithout FastAPI, you can do it as well. Write your own async code¶ Starlette (andFastAPI) are based onAnyIO, which makes it compatible with both Python's standard libraryasyncioandTrio. In particular, you can directly useAnyIOfor your advanced concurrency ...
import asyncio async def func1(): print(1) await asyncio.sleep(2) print(2) async def func2(): print(3) await asyncio.sleep(2) print(4) if __name__ == '__main__': tasks = [ asyncio.ensure_future(func1()), asyncio.ensure_future(func2()) ] loop = asyncio.get_event_loop()...
```pythonasync def main():coroutines = [my_coroutine() for _ in range(10)]results = await ...
urls)consumers=[consumer(queue)for_inrange(3)]awaitasyncio.gather(*consumers)asyncio.run(main())...
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task2 = asyncio.create_task(coro_2)awaittask1awaittask2 协程的主要使用场景 协程的主要应用场景是 IO 密集型任务,总结几个常见的使用场景: 网络请求,比如爬虫,大量使用 aiohttp 文件读取, aiofile web 框架, aiohttp, fastapi 数据库查询, asyncpg, databases ...
As the testing function is now asynchronous, you can now also call (andawait) otherasyncfunctions apart from sending requests to your FastAPI application in your tests, exactly as you would call them anywhere else in your code. Tip If you encounter aRuntimeError: Task attached to a different...
python async def main(): result = await async_func() print(result) asyncio.run(main()) 三、异步请求处理 1.使用async处理请求 FastAPI支持异步处理请求,可以在路由处理函数中加入async关键字定义异步函数。 python from fastapi import FastAPI app = FastAPI() @app.get("/users") async def get_users...
await task1 await task2 协程的主要使用场景 协程的主要应用场景是 IO 密集型任务,总结几个常见的使用场景: •网络请求,比如爬虫,大量使用 aiohttp•文件读取, aiofile•web 框架, aiohttp, fastapi•数据库查询, asyncpg, databases 进一步学习方向(接下来的文章) ...
tasks = [run_curl_command(command) for command in commands] results = await asyncio.gather(*tasks) return results if __name__ == "__main__": # Define your curl commands here curl_commands = [ 'curl -X POST http://127.0.0.1:8000/run_flow -H "Content-Type: application/json" -d...