.. index:: single: application configuration .. _configuration_narr: Application Configuration ========================= Each deployment of an application written using :mod:`pyramid` implies a specific *configuration* of the framework itself. For example, an application which serves up MP3s for user consumption might plug code into the framework that manages songs, while an application that manages corporate data might plug in code that manages accounting information. :mod:`pyramid` refers to the way in which code is plugged in to it for a specific application as "configuration". Most people understand "configuration" as coarse settings that inform the high-level operation of a specific application deployment. For instance, it's easy to think of the values implied by a ``.ini`` file parsed at application startup time as "configuration". :mod:`pyramid` extends this pattern to application development, using the term "configuration" to express standardized ways that code gets plugged into a deployment of the framework itself. When you plug code into the :mod:`pyramid` framework, you are "configuring" :mod:`pyramid` for the purpose of creating a particular application deployment. .. index:: single: imperative configuration .. _imperative_configuration: Imperative Configuration ------------------------ Here's one of the simplest :mod:`pyramid` applications, configured imperatively: .. code-block:: python :linenos: from paste.httpserver import serve from pyramid.configuration import Configurator from pyramid.response import Response def hello_world(request): return Response('Hello world!') if __name__ == '__main__': config = Configurator() config.begin() config.add_view(hello_world) config.end() app = config.make_wsgi_app() serve(app, host='0.0.0.0') We won't talk much about what this application does yet. Just note that the "configuration' statements take place underneath the ``if __name__ == '__main__':`` stanza in the form of method calls on a :term:`Configurator` object (e.g. ``config.begin()``, ``config.add_view(...)``, and ``config.end()``. These statements take place one after the other, and are executed in order, so the full power of Python, including conditionals, can be employed in this mode of configuration. .. index:: single: view_config single: configuration decoration single: code scanning .. _decorations_and_code_scanning: Configuration Decorations and Code Scanning ------------------------------------------- An alternate mode of configuration lends more *locality of reference* to a :term:`configuration declaration`. It's sometimes painful to have all configuration done in imperative code, because you may need to have two files open at once to see the "big picture": the file that represents the configuration, and the file that contains the implementation objects referenced by the configuration. To avoid this, :mod:`pyramid` allows you to insert :term:`configuration decoration` statements very close to code that is referred to by the declaration itself. For example: .. code-block:: python :linenos: from pyramid.response import Response from pyramid.view import view_config @view_config(name='hello', request_method='GET') def hello(request): return Response('Hello') The mere existence of configuration decoration doesn't cause any configuration registration to be made. Before they have any effect on the configuration of a :mod:`pyramid` application, a configuration decoration within application code must be found through a process known as a :term:`scan`. The :class:`pyramid.view.view_config` decorator above adds an attribute to the ``hello`` function, making it available for a :term:`scan` to find it later. :mod:`pyramid` is willing to :term:`scan` a module or a package and its subpackages for decorations when the :meth:`pyramid.configuration.Configurator.scan` method is invoked: scanning implies searching for configuration declarations in a package and its subpackages. For example: .. topic:: Imperatively Starting A Scan .. code-block:: python :linenos: from paste.httpserver import serve from pyramid.response import Response from pyramid.view import view_config @view_config() def hello(request): return Response('Hello') if __name__ == '__main__': from pyramid.configuration import Configurator config = Configurator() config.begin() config.scan() config.end() app = config.make_wsgi_app() serve(app, host='0.0.0.0') The scanning machinery imports each module and subpackage in a package or module recursively, looking for special attributes attached to objects defined within a module. These special attributes are typically attached to code via the use of a :term:`decorator`. For example, the :class:`pyramid.view.view_config` decorator can be attached to a function or instance method. Once scanning is invoked, and :term:`configuration decoration` is found by the scanner, a set of calls are made to a :term:`Configurator` on behalf of the developer: these calls represent the intent of the configuration decoration. In the example above, this is best represented as the scanner translating the arguments to :class:`pyramid.view.view_config` into a call to the :meth:`pyramid.configuration.Configurator.add_view` method, effectively: .. ignore-next-block .. code-block:: python config.add_view(hello) Declarative Configuration ------------------------- A third mode of configuration can be employed when you create a :mod:`pyramid` application named *declarative configuration*. This mode uses :term:`ZCML` to represent configuration statements rather than Python. ZCML is often used when application extensibility is important. Most of the examples in the narrative portion of this documentation concentrate on imperative configuration rather than ZCML, but almost everything that can be configured imperatively can also be configured via ZCML. See :ref:`declarative_chapter` for more information about ZCML.