[EMAIL PROTECTED] wrote: > > Ian Bicking wrote: > >>Sometime a while ago someone asked about an option to have the schema >>fill in values that are missing. I can't remember who. Anyway, it took >>a while, but now it's there in r1218 as an option on Schemas: >> >> # If this is given, then any keys that aren't available but >> # are expected will be replaced with this value (and then >> # validated!) This does not override a present .if_missing >> # attribute on validators: >> if_key_missing = NoDefault > > > This change doesn't fit my usage scenario. What I have is like this : > > a=dict(a set of keyword string values from web page) > s_a = schema(build from SQLObject data validators) > s_b = schema(a subset of fields in a, that is not in s_a) > > I want to validate: > > o = s_a.to_python(a) > o = s_b.to_python(o) > > That is, fill in o in sequence. The problem is, s_a may contains fields > not in a and I just want it to be skipped as a can be just a subset of > s_a fields. The current if_key_missing still force me to fill in > something for keys that I have no interest in this sequence or that it > may be specified in s_b.
That sounds like you want allow_extra_fields=True, filter_extra_fields=False. That will ignore, but pass through, any keys that are not defined in the schema. -- Ian Bicking | [EMAIL PROTECTED] | http://blog.ianbicking.org
