Skip to content

HTTPS clone URL

Subversion checkout URL

You can clone with
or
.
Download ZIP
Geospatial Extensions for Pyramid
Python
Tree: c65bbcdcc2

Fetching latest commit…

Cannot retrieve the latest commit at this time

Failed to load latest commit information.
papyrus
.gitignore
CHANGES.rst
MANIFEST.in
README.rst
TODO.rst
setup.cfg
setup.py

README.rst

Papyrus

Geospatial Extensions for the Pyramid web framework.

Install

Papyrus can be installed with easy_install:

$ easy_install papyrus

(Installing Papyrus in an isolated virtualenv is recommended.)

Often you'll want to make Papyrus a dependency of your Pyramid application. For that add papyrus to the install_requires list defined in the Pyramid application setup.py. Example:

install_requires = [
    'pyramid',
    'pyramid_handlers',
    'pyramid_tm',
    'SQLAlchemy',
    'WebError',
    'papyrus'
    ]

Notes:

  • the pyramid_handlers package is required for creating handlers and actions, in place view callable. Handlers basically emulate Pylons' controllers, so people coming from Pylons may want to use pyramid_handlers in their Pyramid applications.

Run Papyrus Tests

To run the Papyrus tests the nose, mock, psycopg2, and pyramid_handlers packages must be installed in the Python environment. Also install coverage to be able to get a coverage report when running the tests.

To run the tests and get a coverage report use the following command at the root of the Papyrus tree:

$ nosetests --with-coverage

Currently, 100% of the Papyrus code is covered by tests, I'd like to preserve that.

GeoJSON Renderer

Papyrus provides a GeoJSON renderer, based on Sean Gillies' geojson package.

To be able to use the GeoJSON renderer the GeoJSON renderer factory must be added to the application configuration.

For that you can either pass the factory to the Configurator constructor:

from pyramid.mako_templating import renderer_factory as mako_renderer_factory
from papyrus.renderers import geojson_renderer_factory
config = Configurator(
    renderers=(('.mako', mako_renderer_factory),
               ('geojson', geojson_renderer_factory))
    )

Or you can apply the add_renderer method to the Configurator instance:

from papyrus.renderers import geojson_renderer_factory
config.add_renderer('geojson', geojson_renderer_factory)

Make sure that add_renderer is called before any add_view call that names geojson as an argument.

To use the GeoJSON renderer in a view set renderer to geojson in the view config. Here is a simple example:

@view_config(renderer='geojson')
def hello_world(request):
    return {
        'type': 'Feature',
        'id': 1,
        'geometry': {'type': 'Point', 'coordinates': [53, -4]},
        'properties': {'title': 'Dict 1'},
        }

Views configured with the geojson renderer must return objects that implement the Python Geo Interface.

Here's another example where the returned object is an SQLAlchemy (or GeoAlchemy) mapped object:

@view_config(renderer='geojson')
def features(request):
    return Session().query(Spot).all()

In the above example the Spot objects returned by the query call must implement the Python Geo Interface.

MapFish Web Services

Papyrus provides an implementation of the MapFish Protocol. This implementation relies on GeoAlchemy.

This section provides an example describing how to build a MapFish web service in a Pyramid application. (A MapFish web service is an web service that conforms to the MapFish Protocol.)

We assume we want to create a spots MapFish web service that relies on a spots database table.

Set up the database Model

First of all we need an SQLAlchemy/GeoAlchemy mapping for that table. To be compliant with Papyrus' MapFish Protocol implementation the mapped class must implement the Python Geo Interface (typically through the __geo_interface__ property), and must define __init__ and __update__ methods.

Implementing the Python Geo Interface is required for being able to serialize Spot objects into GeoJSON (using Papyrus' GeoJSON renderer). The __init__ and __update__ methods are required for inserting and updating objects, respectively. Both the __init__ and __update__ methods receive a GeoJSON feature (geojson.Feature) as an argument.

With GeoInterface

Papyrus provides a mixin to help create SQLAlchemy/GeoAlchemy mapped classes that implement the Python Geo Interface, and define __init__ and __update__ as expected by the MapFish protocol. The mixin is named GeoInterface, and is provided by the papyrus.geo_interface module.

Using GeoInterface our Spot class looks like this:

from papyrus.geo_interface import GeoInterface

class Spot(GeoInterface, Base):
    __tablename__ = 'spots'
    id = Column(Integer, primary_key=True)
    name = Column(Unicode, nullable=False)
    geom = GeometryColumn('the_geom', Point(srid=4326))

GeoInterface represents a convenience method. Often, implementing one's own __geo_interface__, __init__, and __update__ definitions is a better choice than relying on GeoInterface.

When using GeoInterface understanding its code can be useful. It can also be a source of inspiration for those who don't use it.

Without GeoInterface

Without using GeoInterface our Spot class could look like this:

class Spot(Base):
    __tablename__ = 'spots'
    id = Column(Integer, primary_key=True)
    name = Column(Unicode, nullable=False)
    geom = GeometryColumn('the_geom', Point(srid=4326))

    def __init__(self, feature):
        self.id = feature.id
        self.__update__(feature)

    def __update__(self, feature):
        geometry = feature.geometry
        if geometry is not None and \
           not isinstance(geometry, geojson.geometry.Default):
            shape = asShape(geometry)
            self.geom = WKBSpatialElement(buffer(shape.wkb), srid=4326)
            self._shape = shape
        self.name = feature.properties.get('name', None)

    @property
    def __geo_interface__(self):
        id = self.id
        if hasattr(self, '_shape') and self._shape is not None:
            geometry = self_shape
        else:
            geometry = loads(str(self.geom.geom_wkb))
        properties = dict(name=self.name)
        return geojson.Feature(id=id, geometry=geometry, properties=properties)

Notes:

  • the pyramid_routesalchemy template, provided by Pyramid, places SQLAlchemy models in a models.py file located at the root of the application's main module (myapp.models).
  • the akhet template, provided by the Akhet package, places SQLAlchemy models in the __init__.py file of the models module.

Set up the web service

Now that database model is defined we can now create the core of our MapFish web service.

The web service can be defined through view callables, or through an handler class. View callables are a concept of Pyramid itself. Handler classes are a concept of the pyramid_handlers package, which is an official Pyramid add-on.

With view callables

Using view functions here's how our web service implementation would look like:

from myproject.models import Session, Spot
from papyrus.protocol import Protocol

# 'geom' is the name of the mapped class' geometry property
proto = Protocol(Session, Spot, 'geom')

@view_config(route_name='spots_read_many', renderer='geojson')
def read_many(request):
    return proto.read(request)

@view_config(route_name='spots_read_one', renderer='geojson')
def read_one(request):
    id = request.matchdict.get('id', None)
    return proto.read(request, id=id)

@view_config(route_name='spots_count', renderer='string')
def count(request):
    return proto.count(request)

@view_config(route_name='spots_create', renderer='geojson')
def create(request):
    return proto.create(request)

@view_config(route_name='spots_update', renderer='geojson')
def update(request):
    id = request.matchdict['id']
    return proto.update(request, id)

@view_config(route_name='spots_delete')
def delete(request):
    id = request.matchdict['id']
    return proto.delete(request, id)

These six view functions, typically defined in views.py, entirely define our MapFish web service.

We now need to provide routes to these actions. This is done by calling add_papyrus_routes() on the Configurator (in __init__.py):

import papyrus
from papyrus.renderers import geojson_renderer_factory
config.include(papyrus.includeme)
config.add_renderer('geojson', geojson_renderer_factory)
config.add_papyrus_routes('spots', '/spots')
config.scan()

add_papyrus_routes is a convenience method, here's what it basically does:

config.add_route('spots_read_many', '/spots', request_method='GET')
config.add_route('spots_read_one', '/spots/{id}', request_method='GET')
config.add_route('spots_count', '/spots/count', request_method='GET')
config.add_route('spots_create', '/spots', request_method='POST')
config.add_route('spots_update', '/spots/{id}', request_method='PUT')
config.add_route('spots_delete', '/spots/{id}', request_method='DELETE')

With a handler

Using a handler here's what our web service implementation would look like:

from pyramid_handlers import action

from myproject.models import Session, Spot
from papyrus.protocol import Protocol

# create the protocol object. 'geom' is the name
# of the geometry attribute in the Spot model class
proto = Protocol(Session, Spot, 'geom')

class SpotHandler(object):
    def __init__(self, request):
        self.request = request

    @action(renderer='geojson')
    def read_many(self):
        return proto.read(self.request)

    @action(renderer='geojson')
    def read_one(self):
        id = self.request.matchdict.get('id', None)
        return proto.read(self.request, id=id)

    @action(renderer='string')
    def count(self):
        return proto.count(self.request)

    @action(renderer='geojson')
    def create(self):
        return proto.create(self.request)

    @action(renderer='geojson')
    def update(self):
        id = self.request.matchdict['id']
        return proto.update(self.request, id)

    @action()
    def delete(self):
        id = self.request.matchdict['id']
        return proto.delete(self.request, id)

The six actions of the SpotHandler class entirely define our MapFish web service.

We now need to provide routes to these actions. This is done by calling add_papyrus_handler() on the Configurator:

import papyrus
from papyrus.renderers import geojson_renderer_factory
config.include(papyrus)
config.add_renderer('geojson', geojson_renderer_factory)
config.add_papyrus_handler('spots', '/spots',
                           'myproject.handlers:SpotHandler')

Likewise add_papyrus_routes add_papyrus_handler is a convenience method. Here's what it basically does:

config.add_handler('spots_read_many', '/spots',
                   'myproject.handlers:SpotHandler',
                   action='read_many', request_method='GET')
config.add_handler('spots_read_one', '/spots/{id}',
                   'myproject.handlers:SpotHandler',
                   action='read_one', request_method='GET')
config.add_handler('spots_count', '/spots/count',
                   'myproject.handlers:SpotHandler',
                   action='count', request_method='GET')
config.add_handler('spots_create', '/spots',
                   'myproject.handlers:SpotHandler',
                   action='create', request_method='POST')
config.add_handler('spots_update', '/spots/{id}',
                   'myproject.handlers:SpotHandler',
                   action='update', request_method='PUT')
config.add_handler('spots_delete', '/spots/{id}',
                   'myproject.handlers:SpotHandler',
                   action='delete', request_method='DELETE')

Note: when using handlers the pyramid_handlers package must be set as an application's dependency.

Something went wrong with that request. Please try again.