With the current trunk you should be able to:
class MyDandyFields(WidgetsDeclaration):
name = TextField(validator=X)
age = TextField(validator=Y)
class MyForm(TableForm):
validator = Schema(chained_validators=[C1, C2], pre_validators=[P1,
P2])
fields = MyDandyFields()
Of course, MyDandyFields' individual validators will be merged into a
*copy* (so you can define more complex schemas and reuse) of the
Schema instance attached to the Form.
The autogenerated schema should look like:
class ZZZ(Schema):
chained_validators=[C1, C2]
pre_validators=[P1, P2
name = X
age = Y
The tests for this are at:
http://trac.turbogears.org/turbogears/browser/trunk/turbogears/
widgets/tests/test_new_validation.py
and
http://trac.turbogears.org/turbogears/browser/trunk/turbogears/
widgets/tests/test_nested_widgets.py
and
Does this satisfy your request or did I miss your point?
On 10/03/2006, at 23:46, Karl Guertin wrote:
>
> On 3/10/06, Alberto Valverde <[EMAIL PROTECTED]> wrote:
>> Yep, we don't need a validator for strings, but the point is that we
>> need some way to tell generate_schema to know which fields expect
>> input.
>
> If I'm following this thread correctly (I'm honestly only skimming it)
> then you're creating a schema from a a WidgetsMeta and using that for
> validation. If you're doing this, I request that I be able to define
> the formencode pre_validators and post_validators for the form
> directly instead of having to create a different schema to do so.
>
> This would allow a much simpler way to perform cross-field checks
> (e.g. if one of these fields has a value, they all must be filled)
> than the current solution of creating and maintaining a schema by hand
> just because you want chained_validators.
>
>
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