Sweet! Thanks for the heads up.
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On 6/13/06, Paul Childs <[EMAIL PROTECTED]> wrote:
>
> Of course it would be nice just to call the save() and delete() methods
> and everything would behave as listed in my first post.
>
This is one of the Summer of Code projects in the works. You can read
about it and offer some input on the dev-
Why bother shuffling data between tables?
I've got a wiki app I've been working on (slowly - hoping to release
soon!), and I add a revision field ( IntegerField ), and just add a new
entry with revision+1. The latest version has the latest revision
number. Easy :-)
Then it's just a matter of som
Hey there Paul.
I'm working with a price comparison website, and we have a similar
system going on. You see, products have 1+ prices, stored in a prices
table. We get prices daily from dealers, and handle historical prices
in a different table, just like Waylan said. The prices_hist table
holds t
I have a similar problem where I want to maintain an audit trail for
"manual overrides" to inputs to our risk loop. I haven't implemented it
in Django yet, but the way I've done this in the past is similar to
Waylan: using a history version of the table. There are a few
differences, however. My ta
Thanks for the input Waylan.
It certainly gives me another angle on the solution.
I have been digging into the docs again and it seems to me that Django
is flexible enough to handle this without having to dive into the
source.
Of course it would be nice just to call the save() and delete() meth
I have been thinking about how to do something similar - specifically,
wikipage history. Note that I have not actually tried any of this yet
but I would split the history out into a second table. Perhaps this
incomplete example to illustrate:
class Page(models.Model):
title = models.C
I have been using Django for about a month now and I just moved over to
the development version.
I am creating an application in which the client has dictated very
stringent database record management in order to have a detailed audit
trail on all changes made data. This does not necessarily mean
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