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"""A naive example illustrating techniques to help
embed PostGIS functionality.
The techniques here could be used by a capable developer
as the basis for a comprehensive PostGIS SQLAlchemy extension.
Please note this is an entirely incomplete proof of concept
only, and PostGIS support is *not* a supported feature
of SQLAlchemy.
Includes:
* a DDL extension which allows CREATE/DROP to work in
conjunction with AddGeometryColumn/DropGeometryColumn
* a Geometry type, as well as a few subtypes, which
convert result row values to a GIS-aware object,
and also integrates with the DDL extension.
* a GIS-aware object which stores a raw geometry value
and provides a factory for functions such as AsText().
* an ORM comparator which can override standard column
methods on mapped objects to produce GIS operators.
* an attribute event listener that intercepts strings
and converts to GeomFromText().
* a standalone operator example.
The implementation is limited to only public, well known
and simple to use extension points, with the exception
of one temporary monkeypatch in the DDL extension.
Future SQLAlchemy expansion points may allow more seamless
integration of some features.
"""
from sqlalchemy.orm.interfaces import AttributeExtension
from sqlalchemy.orm.properties import ColumnProperty
from sqlalchemy.types import TypeEngine
from sqlalchemy.sql import expression
# Python datatypes
class GisElement(object):
"""Represents a geometry value."""
@property
def wkt(self):
return func.AsText(literal(self, Geometry))
@property
def wkb(self):
return func.AsBinary(literal(self, Geometry))
def __str__(self):
return self.desc
def __repr__(self):
return "<%s at 0x%x; %r>" % (self.__class__.__name__, id(self), self.desc)
class PersistentGisElement(GisElement):
"""Represents a Geometry value as loaded from the database."""
def __init__(self, desc):
self.desc = desc
class TextualGisElement(GisElement, expression.Function):
"""Represents a Geometry value as expressed within application code; i.e. in wkt format.
Extends expression.Function so that the value is interpreted as
GeomFromText(value) in a SQL expression context.
"""
def __init__(self, desc, srid=-1):
assert isinstance(desc, basestring)
self.desc = desc
expression.Function.__init__(self, "GeomFromText", desc, srid)
# SQL datatypes.
class Geometry(TypeEngine):
"""Base PostGIS Geometry column type.
Converts bind/result values to/from a PersistentGisElement.
"""
name = 'GEOMETRY'
def __init__(self, dimension=None, srid=-1):
self.dimension = dimension
self.srid = srid
def bind_processor(self, dialect):
def process(value):
if value is not None:
return value.desc
else:
return value
return process
def result_processor(self, dialect):
def process(value):
if value is not None:
return PersistentGisElement(value)
else:
return value
return process
# other datatypes can be added as needed, which
# currently only affect DDL statements.
class Point(Geometry):
name = 'POINT'
class Curve(Geometry):
name = 'CURVE'
class LineString(Curve):
name = 'LINESTRING'
# ... etc.
# DDL integration
class GISDDL(object):
"""A DDL extension which integrates SQLAlchemy table create/drop
methods with PostGis' AddGeometryColumn/DropGeometryColumn functions.
Usage::
sometable = Table('sometable', metadata, ...)
GISDDL(sometable)
sometable.create()
"""
def __init__(self, table):
for event in ('before-create', 'after-create', 'before-drop', 'after-drop'):
table.ddl_listeners[event].append(self)
self._stack = []
def __call__(self, event, table, bind):
if event in ('before-create', 'before-drop'):
regular_cols = [c for c in table.c if not isinstance(c.type, Geometry)]
gis_cols = set(table.c).difference(regular_cols)
self._stack.append(table.c)
table._columns = expression.ColumnCollection(*regular_cols)
if event == 'before-drop':
for c in gis_cols:
bind.execute(select([func.DropGeometryColumn('public', table.name, c.name)], autocommit=True))
elif event == 'after-create':
table._columns = self._stack.pop()
for c in table.c:
if isinstance(c.type, Geometry):
bind.execute(select([func.AddGeometryColumn(table.name, c.name, c.type.srid, c.type.name, c.type.dimension)], autocommit=True))
elif event == 'after-drop':
table._columns = self._stack.pop()
# ORM integration
def _to_postgis(value):
"""Interpret a value as a GIS-compatible construct."""
if hasattr(value, '__clause_element__'):
return value.__clause_element__()
elif isinstance(value, (expression.ClauseElement, GisElement)):
return value
elif isinstance(value, basestring):
return TextualGisElement(value)
elif value is None:
return None
else:
raise Exception("Invalid type")
class GisAttribute(AttributeExtension):
"""Intercepts 'set' events on a mapped instance attribute and
converts the incoming value to a GIS expression.
"""
def set(self, state, value, oldvalue, initiator):
return _to_postgis(value)
class GisComparator(ColumnProperty.ColumnComparator):
"""Intercepts standard Column operators on mapped class attributes
and overrides their behavior.
"""
# override the __eq__() operator
def __eq__(self, other):
return self.__clause_element__().op('~=')(_to_postgis(other))
# add a custom operator
def intersects(self, other):
return self.__clause_element__().op('&&')(_to_postgis(other))
# any number of GIS operators can be overridden/added here
# using the techniques above.
def GISColumn(*args, **kw):
"""Define a declarative column property with GIS behavior.
This just produces orm.column_property() with the appropriate
extension and comparator_factory arguments. The given arguments
are passed through to Column. The declarative module extracts
the Column for inclusion in the mapped table.
"""
return column_property(
Column(*args, **kw),
extension=GisAttribute(),
comparator_factory=GisComparator
)
# illustrate usage
if __name__ == '__main__':
from sqlalchemy import *
from sqlalchemy.orm import *
from sqlalchemy.ext.declarative import declarative_base
engine = create_engine('postgres://scott:tiger@localhost/gistest', echo=True)
metadata = MetaData(engine)
Base = declarative_base(metadata=metadata)
class Road(Base):
__tablename__ = 'roads'
road_id = Column(Integer, primary_key=True)
road_name = Column(String)
road_geom = GISColumn(Geometry(2))
# enable the DDL extension, which allows CREATE/DROP operations
# to work correctly. This is not needed if working with externally
# defined tables.
GISDDL(Road.__table__)
metadata.drop_all()
metadata.create_all()
session = sessionmaker(bind=engine)()
# Add objects. We can use strings...
session.add_all([
Road(road_name='Jeff Rd', road_geom='LINESTRING(191232 243118,191108 243242)'),
Road(road_name='Geordie Rd', road_geom='LINESTRING(189141 244158,189265 244817)'),
Road(road_name='Paul St', road_geom='LINESTRING(192783 228138,192612 229814)'),
Road(road_name='Graeme Ave', road_geom='LINESTRING(189412 252431,189631 259122)'),
Road(road_name='Phil Tce', road_geom='LINESTRING(190131 224148,190871 228134)'),
])
# or use an explicit TextualGisElement (similar to saying func.GeomFromText())
r = Road(road_name='Dave Cres', road_geom=TextualGisElement('LINESTRING(198231 263418,198213 268322)', -1))
session.add(r)
# pre flush, the TextualGisElement represents the string we sent.
assert str(r.road_geom) == 'LINESTRING(198231 263418,198213 268322)'
assert session.scalar(r.road_geom.wkt) == 'LINESTRING(198231 263418,198213 268322)'
session.commit()
# after flush and/or commit, all the TextualGisElements become PersistentGisElements.
assert str(r.road_geom) == "01020000000200000000000000B832084100000000E813104100000000283208410000000088601041"
r1 = session.query(Road).filter(Road.road_name=='Graeme Ave').one()
# illustrate the overridden __eq__() operator.
# strings come in as TextualGisElements
r2 = session.query(Road).filter(Road.road_geom == 'LINESTRING(189412 252431,189631 259122)').one()
# PersistentGisElements work directly
r3 = session.query(Road).filter(Road.road_geom == r1.road_geom).one()
assert r1 is r2 is r3
# illustrate the "intersects" operator
print session.query(Road).filter(Road.road_geom.intersects(r1.road_geom)).all()
# illustrate usage of the "wkt" accessor. this requires a DB
# execution to call the AsText() function so we keep this explicit.
assert session.scalar(r1.road_geom.wkt) == 'LINESTRING(189412 252431,189631 259122)'
session.rollback()
metadata.drop_all()
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