Do you mean you will implement a new CacheInRam.__call__(...,
deepcopy=True)?

Or do you mean the current implementation is good enough? Well, I can
live with that, trying to subclass the CacheInRam for my own
shallowcopy-edition. :-)

On Nov6, 2:14pm, mdipierro <[email protected]> wrote:
> I think the default behavor should be that the object is deepcopied.
>
> On Nov 6, 12:08 am, Iceberg <[email protected]> wrote:
>
>
>
> > > On Nov 6, 2:42 am, mdipierro <[email protected]> wrote:
>
> > > > I found the problem.
>
> > > > There is, there always was, a bug in cache.ram. It was caching the
> > > > original object, not a copy, so if the object gets modified the one in
> > > > cache changes too.
>
> > > > This bug only showed up now.
>
> > > > I fixed in trunk and I will post a web2py 1.71.3 asap.
>
> > > > For now you can still use the latest web2py but edit gluon/cache.py
> > > > add
> > > > include copy
> > > > and replace
> > > >         self.storage[key] = (time.time(), value)
> > > > with
> > > >         self.storage[key] = (time.time(), copy.deepcopy(value))
>
> > > > Massimo
>
> > On Nov6, 2:46am, vince <[email protected]> wrote:
>
> > > thanks for your quick fix!
>
> > > vince
>
> > I met the same problem and am happy to see Vince and Massimo combine
> > for a quick debug and fix. Thanks!
>
> > But, do we really need a deepcopy? Or shall we just cache the original
> > copy, so that the cached version is always up-to-date?
>
> > Besides, what if the instance to be cached is not deepcopy-able? It
> > happens in some of my apps, so the latest fix still don't work for
> > me. :-/
>
> > Perhaps we can add one more parameter for CacheInRam.__call__(...,
> > deepcopy=True) for flexibility?
>
> > Hope to hear more feedback on this. Thanks.
>
> > Regards,
> > Iceberg
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