Hi Andrea

If you're using xmlpipe2, then there's nothing in TS that knows about the index 
structure - so I'm afraid you'll have to figure out a workaround yourself.

Sorry for the slow reply.

-- 
Pat

On 12/04/2011, at 2:31 AM, Andrea S. wrote:

> Hi Pat,
> 
> The solution you suggested looked very much like what I needed.
> Unfortunately, however, the project I'm working on is using xmlpipe2
> as the data source and the method #sphinx_indexes on the individual
> indexed_models returns an empty array. Would you by any chance how I
> can still get to the underlying fields and attributes of a particular
> indexed model? Otherwise, I'll figure out some kind of workaround.
> 
> Thank you,
> 
> Andrea
> 
> On 9 Apr., 02:20, Pat Allan <[email protected]> wrote:
>> Hi Andrea
>> 
>> TS won't figure that out by itself, but you could tell it which classes you 
>> want to search on, using the :classes option. To figure out what to pass in 
>> to that option, you could automate it using a snippet something like this:
>> 
>>  classes = ThinkingSphinx.context.indexed_models.collect { |model|
>>    model.constantize
>>  }.select { |model|
>>    model.sphinx_indexes.first.attributes.any? { |attribute|
>>      attribute.unique_name == params[:attribute]
>>    }
>>  }
>> 
>> Cheers
>> 
>> --
>> Pat
>> 
>> On 08/04/2011, at 8:33 PM, Andrea S. wrote:
>> 
>> 
>> 
>> 
>> 
>> 
>> 
>>> Hi,
>> 
>>> I am building a search/filter form that is supposed to search
>>> application wide over multiple models. However, not all models
>>> actually exhibit the same attributes. Many are in common, but not all.
>>> I saw that some people set up dummy attributes for that purpose, but
>>> in my case that would not be a viable solution.
>> 
>>> I was wondering whether there is a way to conduct a multi-model
>>> search, but limit it to the models that actually have those specified
>>> attributes sent in through the filter form. In other words, can
>>> ThinkingSphinx based on a given attribute figure out which model(s)
>>> have that attribute set up?
>> 
>>> Thanks,
>> 
>>> Andrea
>> 
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