我的芹菜任务如下:
@celery.task(name='tasks.ht_run', default_retry_delay=30, max_retries=15, time_limit=1)
def ht_run(str_command):
try:
f = os.popen(str_command)
output = f.read()
if output == '':
raise Exception
except Exception as exc:
raise ht_run.retry(exc=exc)
return output.split('\n')
它被称为: appserver.ht_run.delay(字符串)
虽然我希望它在超时时重试,但是如果失败了。在Celery窗口中,我收到以下错误:
[2014-12-10 11:50:22,128: ERROR/MainProcess] Task tasks.ht_run[6a83793a-8bd6-47fc-bf74-0b673bf961f2] raised unexpected: TimeLimitExceeded(1,)
Traceback (most recent call last):
File "/Users/andy.terhune/cgenv/lib/python2.6/site-packages/billiard/pool.py", line 639, in on_hard_timeout
raise TimeLimitExceeded(job._timeout)
TimeLimitExceeded: TimeLimitExceeded(1,)
[2014-12-10 11:50:22,128: ERROR/MainProcess] Hard time limit (1s) exceeded for tasks.ht_run[6a83793a-8bd6-47fc-bf74-0b673bf961f2]
[2014-12-10 11:50:23,644: ERROR/MainProcess] Process 'Worker-28' pid:2081 exited with 'signal 9 (SIGKILL)'
如何让它超时并在重试时重试?
答案 0 :(得分:4)
感谢user2097159,
尝试了一个软超时,就像一个魅力,
@celery.task(
name='tasks.ht_run',
default_retry_delay=30,
max_retries=15,
soft_time_limit=1)
def ht_run(str_command):
try:
f = os.popen(str_command)
output = f.read()
if output == '':
raise Exception
except Exception as exc:
raise ht_run.retry(exc=exc)
return output.split('\n')
...
[2014-12-10 12:16:55,580: WARNING/MainProcess] Soft time limit (1s) exceeded for tasks.ht_run[f31bbd15-e755-440c-9261-cd0864ceb3a9]
[2014-12-10 12:16:55,603: INFO/MainProcess] Received task: tasks.ht_run[f31bbd15-e755-440c-9261-cd0864ceb3a9] eta:[2014-12-10 18:17:25.593613+00:00]
[2014-12-10 12:16:55,603: DEBUG/MainProcess] basic.qos: prefetch_count->121
[2014-12-10 12:16:56,897: INFO/MainProcess] Task tasks.ht_run[f31bbd15-e755-440c-9261-cd0864ceb3a9] retry: Retry in 30s: SoftTimeLimitExceeded()
答案 1 :(得分:1)
现在在4.0版中,您可以为装饰器中的特定异常指定autoretry。以下是文档中的示例:
from twitter.exceptions import FailWhaleError
@app.task(autoretry_for=(FailWhaleError,))
def refresh_timeline(user):
return twitter.refresh_timeline(user)
其中一个例外可以SoftTimeLimitExceeded
来满足您的情况。