Can you give an example as to how this is used? I understand the
purpose, I'm just a little hazy on the calling syntax.
On Aug 24, 5:25 am, Alkis Evlogimenos ('Αλκης Ευλογημένος)
<evlogime...@gmail.com> wrote:
> You can make it into a decorator which will make it easier for your
> functions to code. I use this:
> def retry_on_timeout(retries=3, secs=1):
> """A decorator to retry a given function performing db operations."""
> def _decorator(func):
> def _wrapper(*args, **kwds):
> tries = 0
> while True:
> try:
> tries += 1
> return func(*args, **kwds)
> except db.Timeout, e:
> logging.debug(e)
> if tries > retries:
> raise e
> else:
> wait_secs = secs * tries ** 2
> logging.warning("Retrying function %r in %d secs" % (func,
> wait_secs))
> time.sleep(wait_secs)
> return _wrapper
> return _decorator
>
>
>
> On Mon, Aug 24, 2009 at 1:53 PM, Bemmu <bemmu....@gmail.com> wrote:
>
> > I decided to finally do something about the Timeout exceptions
> > littering my log.
>
> > I read somewhere on this forum that I am supposed to code around data
> > store accesses to try things out several times in case of timeouts. Is
> > this still necessary? Why won't the methods just do that internally?
>
> > This is my first attempt to handle a timeout situation, is there any
> > nicer way to code this?
>
> > retries = 3
> > retry = True
> > while retry:
> > try:
> > retry = False
> > recipient.put()
> > except:
> > retries -= 1
> > if retries > 0:
> > retry = True
> > logging.info("recipient.put() failed,
> > retrying")
> > else:
> > logging.error("failed even after trying
> > recipient.put() three
> > times")
>
> --
>
> Alkis
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