import asyncio async def fetch(session, url): async with session.get(url) as response: return await response.text() # Client code, provided for reference async def main(): async with aiohttp.ClientSession() as session: html = await fetch(session, 'http://python.org') print(html) loop ...
from tenacity import retry,stop_after_delay @retry(stop=stop_after_delay(10)) def stop_after_10_s(): print("10秒后停止重试") raise Exception 组合多个停止条件: @retry(stop=(stop_after_delay(10) | stop_after_attempt(5))) def stop_after_10_s_or_5_retries(): print("10秒后或者5次...
retry实现如下,利用装饰器模式 importloggingfromfunctoolsimportwraps log= logging.getLogger(__name__)defretry(*exceptions, retries=3, cooldown=1, verbose=True):"""Decorate an async function to execute it a few times before giving up. Hopes that problem is resolved by another side shortly. Args:...
import trio import asks import tornado from tenacity import retry @retry async def my_async_function(loop): await loop.getaddrinfo('8.8.8.8', 53) @retry @tornado.gen.coroutine def my_async_function(http_client, url): yield http_client.fetch(url) @retry(sleep=trio.sleep) async def my_as...
async def main():async with aiohttp.ClientSession() as session:html = await fetch(session, 'http://python.org')print(html)loop = asyncio.get_event_loop()loop.run_until_complete(main())fetch函数并不是可靠的服务,可能存在失败的情况，这时候根据上⽂所列的情况实现重试机制,代码如下:import ...
or not"""@riprova.retryasyncdeftask():"""Asynchronous coroutines are also supported :)""" Retry failed HTTP requests: importpookimportrequestsfromriprovaimportretry# Define HTTP mocks to simulate failed requestspook.get('server.com').times(3).reply(503)pook.get('server.com').times(1)....
retry async def async_function_with_problem(): raise Exception('Something bad happens here') # This will be attempted 5 times, each time with a delay increasing by 5 seconds. await async_function_with_problem()Retry with custom logic
async def embed_and_store_with_limit_and_check( self, semaphore, id, vector_store, text_future_func = None, text: Union[str, list[str]] = "", **additional_properties ): async with semaphore: retry_count = ( 3 # Task failed with exception Response payload is not completed ...
import asyncio async def async_send(data): """ 模拟异步发送操作,可能会失败。 """ # 这里简单模拟发送失败的情况 if data == "fail": raise Exception("发送失败") print(f"成功发送数据: {data}") async def with_retry(func, retries=3, delay=1): """ 带有重试机制的装饰器,用于包装异步发送...
def my_async_operation(): # your async operation here ``` 在这个例子中,如果 my_async_operation() 失败,那么它将会被重试 3 次。 4.retry 参数的优点和局限性 retry 参数的优点在于,它可以帮助开发者轻松地实现重试功能,从而提高程序的稳定性和可靠性。同时,retry 参数也可以控制重试的次数,避免无限制地...