我正在尝试使用韧性(没有装饰器)进行重试。我的代码看起来像here中所述。
import logging
from tenacity import retry
import tenacity
def print_msg():
try:
logging.info('Hello')
logging.info("World")
raise Exception('Test error')
except Exception as e:
logging.error('caught error')
raise e
if __name__ == '__main__':
logging.basicConfig(
format='%(asctime)s,%(msecs)d %(levelname)-8s [%(filename)s:%(lineno)d] %(message)s',
datefmt='%d-%m-%Y:%H:%M:%S',
level=logging.INFO)
logging.info('Starting')
try:
r = tenacity.Retrying(
tenacity.stop_after_attempt(2),
tenacity.wait_incrementing(start=10, increment=100, max=1000),
reraise=True
)
try:
r.call(print_msg)
except Exception:
logging.error('Test error 2')
except Exception:
logging.error('Received Exception')
执行上述代码时。输出如下所示,无重试
/Users/dmanna/PycharmProjects/demo/venv/bin/python /Users/dmanna/PycharmProjects/demo/retrier.py
25-11-2018:00:29:47,140 INFO [retrier.py:21] Starting
25-11-2018:00:29:47,140 INFO [retrier.py:8] Hello
25-11-2018:00:29:47,140 INFO [retrier.py:9] World
25-11-2018:00:29:47,140 ERROR [retrier.py:12] caught error
25-11-2018:00:29:47,141 ERROR [retrier.py:31] Test error 2
Process finished with exit code 0
有人可以让我知道发生了什么问题吗,因为我没有在上面的代码中看到任何重试?
答案 0 :(得分:0)
已回答here。交叉发布答案
哼,我认为您在此处使用的API不正确:
r = tenacity.Retrying( tenacity.stop_after_attempt(2), tenacity.wait_incrementing(start=10, increment=100, max=1000), reraise=True )
这意味着:
r = tenacity.Retrying( sleep=tenacity.stop_after_attempt(2), stop=tenacity.wait_incrementing(start=10, increment=100, max=1000), reraise=True )
哪个都不打算做你想做的事。
您要
r = tenacity.Retrying( stop=tenacity.stop_after_attempt(2), wait=tenacity.wait_incrementing(start=10, increment=100, max=1000), reraise=True )
答案 1 :(得分:0)
对于Python 3.4+用户(支持批注)的注释,要显式强制进行Tenacity重试,一般用例是使用简单的@retry
对其进行注释,然后引发特殊的异常TryAgain
。
@retry
def do_something():
result = something_else()
if result == 23:
raise TryAgain
也可以实现类似于Python 2.7 on this page的答案:
import tenacity
def do_something():
result = something_else()
if result == 23:
raise TryAgain
r = tenacity.Retrying(
stop=tenacity.stop_after_attempt(2),
wait=tenacity.wait_incrementing(start=10, increment=100, max=1000)
)
r.wraps(do_something)
有关更多详细信息,请参见API documentation on whether to retry或source that defines annotations。