On Thu, May 3, 2012 at 12:52 AM, HarpB <hsbsi...@gmail.com> wrote:
> I am a big fan of TastyPie. But I don't understand your following
> requirement:
>
> Get/set (conversion) between different schemas
>
> I.e.: No matter the input API, you can get it formatted in whichever output
> API you request
>
> Are you simply trying to create a unified interface for all of you existing
> APIs? If so, are they using Django models?

They seem to be mostly written from C#, all the information they are
giving me is an auto-generated schema page with set/get examples in
SOAP [for one service] and XML [for the other]. I suspect that a few
of the others will be in JSON though.

> TastyPie would only be useful for you if you have existing Django Models.
> You could still use it without having Django models, but then you would
> have to write lot more of the api code yourself. TastyPie is a full-featured,
> drop-in API system. It is meant to simply included into your existing
> code, your attach it to your Django model and it will serve the data
> associated to the models. It provides all of the RESTful options: GET,
> POST, DELETE and PUT.
>
>
> Django-Piston also makes use of django models, but it does not solely relies
> on it. It provides a very basic interface (in comparison to TastyPie) and
> you would need to write all of the RESTful request handles yourself.
>
>
> Both TastyPie and Piston have authentication and authorization system.
>

The functionality I'm providing is as follows:

Server1 >[send as SOAP 1.1]>[My Server]>[Server3 receives as XML in
Server3 schema]
Server3>[Send as XML]>[My Server]>[Server1 receives as SOAP 1.1 in
Server1 schema]

However since they will still need to access the data on demand (and
not wait for a set/get operation from another party) I will need to
create models (database) storing all information received.

What would be the best way of doing this?

Would TastyPie still be a good choice, or would Django-Piston [or some
other] better suit this problem?

Thanks for all suggestions,

Alec Taylor

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