[Grok-dev] Persistence issue with grok.Model
Robert Marianski
rmarianski at openplans.org
Mon Dec 29 15:16:48 EST 2008
On Mon, 2008-12-29 at 20:43 +0100, Andreas Jung wrote:
> Hi there,
>
> I am current encountering a persistence issue with the following:
> A Grok app "Server" contains a container "Accounting" holding instances
> of "Job":
>
> class Server(grok.Application, grok.Container):
> """ This is the base of all evil """
>
> interface.implements(IServer)
>
> title = u''
> spool_directory = default_tempdir
>
> def addJob(self, *args, **kw):
> if not 'accounting' in self:
> self['accounting'] = Accounting()
> self['accounting'].addJob(*args, **kw)
> self._p_changed = 1
>
> class Accounting(grok.Container):
> """ A folder for Job objects """
>
> num_items = 0
>
> def addJob(self, *args, **kw):
> self.num_items += 1
> self[str(self.num_items)] = Job(*args, **kw)
> self._p_changed = 1
>
>
> class Job(grok.Model):
> """ Holds informations about each conversion job """
>
> def __init__(self, *args, **kw):
> super(Job, self).__init__()
> for k,v in kw.items():
> setattr(self, k, v)
>
>
> So Server.addJob(**kw) create a new Job instance within the Accouting
> container where the **kw parameters are added as instances attributes
> (I need this very generic approach).
>
> The mess starts after having created a view for displaying the jobs:
>
> class ShowJobs(grok.View):
> grok.context(Zopyx_smartprintng_server)
>
> def getJobs(self):
> lst = list()
> for id, job in self.context['accounting'].items():
> print id, job.__dict__
> lst.append(job.__dict__.copy())
> return lst
>
> The instance dict of a Job instance holds the **kw dict until I restart
> my Grok instance. After the restart the instance dict is empty. Is there
> something I am missing or some further magic involved (do I need a
> schema for a Grok Model in order for having the instance dict properly
> persisted)?
>
> Andreas
Are you using python2.5? I've heard of persistence problems at some
point with python 2.5 like you describe. I think it had something to do
with python2.5 and 64 bit linux machines. I don't remember the details
now though.
Robert
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