On Jan 12, 2009, at 6:09 PM, PacSci wrote:
>
> I've decided that for a WSGI framework I'm working on (based on
> Werkzeug, if that helps) that SQLAlchemy will be the official ORM - as
> in, the framework will handle the database side of the equation and
> the user just provides the models. However, I am trying to figure out
> how to make sure that the tables, all imported from distinct apps, all
> use the same metadata. Whatever solution I use, I want to make sure
> that:
>
> - Every model is on the same, pre-bound metadata
> - Both table/object/mapper and ext.declarative are usable
> - It will run both on the Web and from command line tools
>
> What I was thinking about doing was making every app have a "models"
> function like this:
>
> def models(metadata, AlchemyObject)
> foo_table = Table("myapp_foos", metadata...)
> class Foo(object): pass
> foo_mapper = mapper(Foo, foo_table)
> class Bar(AlchemyObject):
> ...
> return [foo_mapper, Bar]
>
> But that is ugly and non-Pythonic. Does anyone know of a way that I
> can make sure that every app is using the same metadata for its
> models, but doesn't put too much of a burden on the users?
Why not just have a blank application setup include a file, such as
"meta.py" to quote from what Pylons does, which includes the
"official" MetaData object to be used ? You'd put the
declarative_base there, and potentially the engine/Session setup. A
good idea would be to check out a Pylons 0.9.7 application and see
what it does. You just have a few files that establish the official
entrypoints.
> (PS: Is it possible to access the underlying tables and classes from
> mapper objects? I can't find anything about it in the docs.)
the mapper has accessors on it for this stuff like class_ and
mapped_table. There's some others too which can be gleaned from the
source.
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