.. -*- coding: utf-8 -*-

Introduction

============

`Google AppEngine` is provided with a partial port of the `Django`

framework, but Google stated at Google IO 2008 that it would not

support a specific Python web framework and that all

community-supported frameworks would be more than welcome[1]_. 

.. _Logilab: http://www.logilab.fr/

.. [1] for more on this matter, read our blog at http://www.logilab.org/blog/5216

Essentials

----------

Schema

  The schema defines the data model of an application as entities and

  relationships. It is the core of an application.  Entities and

  relationships are modeled with a comprehensive language made of

  Python classes. 

Query language

  A full-blown query language named RQL is used to formulate 

  requests to the datastore.

Result set

  A resultset encapsulates the results of a request sent to

  the datastore and informations about this request.  

Views 

  A view is applied to a `result set` to present it as HTML, XML,

  JSON, CSV, etc. Views are implemented as Python classes. There is no

  templating language.

Generated user interface

  A user interface is generated on-the-fly from the schema definition:

  entities can be created, displayed, updated and deleted. As display

  views are not very fancy, it is usually necessary to develop your

  own. Any generated view can be overridden by defining a new one with

  the same identifier.

Components

  Pieces of schema and sets of views can be combined into

  components. Larger applications can be built faster by importing

  components, adding entities and relationships and overriding the

  views that need to display or edit informations not provided by

  components.