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gis: Fixed bug in GeoQuerySet.distance
caused by SQL substitution that shouldn't be done there (thanks robotika); an exception is no longer raised when trying to import the spatial metadata models on backends that do not support them (e.g., MySQL).
git-svn-id: http://code.djangoproject.com/svn/django/branches/gis@7138 bcc190cf-cafb-0310-a4f2-bffc1f526a37
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@ -12,7 +12,7 @@ from django.contrib.gis.oldforms import WKTField
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# Attempting to get the spatial reference system.
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try:
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from django.contrib.gis.models import SpatialRefSys
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except NotImplementedError:
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except ImportError:
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SpatialRefSys = None
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#TODO: Flesh out widgets; consider adding support for OGR Geometry proxies.
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@ -22,6 +22,9 @@ class GeometryField(SpatialBackend.Field):
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# The OpenGIS Geometry name.
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_geom = 'GEOMETRY'
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# Geodetic units.
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geodetic_units = ('Decimal Degree', 'degree')
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def __init__(self, srid=4326, spatial_index=True, dim=2, **kwargs):
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"""
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The initialization function for geometry fields. Takes the following
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@ -82,8 +85,9 @@ class GeometryField(SpatialBackend.Field):
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`D(km=1)` was passed in and the units of the field were in meters,
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then 1000 would be returned.
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"""
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if isinstance(dist, Distance):
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if self._unit_name in ('Decimal Degree', 'degree'):
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if self._unit_name in self.geodetic_units:
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# Spherical distance calculation parameter should be in meters.
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dist_param = dist.m
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else:
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@ -93,7 +97,7 @@ class GeometryField(SpatialBackend.Field):
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dist_param = dist
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# Sphereical distance query; returning meters.
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if SpatialBackend.name == 'postgis' and self._unit_name == 'degree':
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if SpatialBackend.name == 'postgis' and self._unit_name in self.geodetic_units:
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return [gqn(self._spheroid), dist_param]
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else:
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return [dist_param]
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@ -4,10 +4,10 @@ from django.db import connection
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from django.db.models.query import EmptyResultSet, Q, QuerySet, handle_legacy_orderlist, quote_only_if_word, orderfield2column, fill_table_cache
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from django.db.models.fields import FieldDoesNotExist
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from django.utils.datastructures import SortedDict
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from django.contrib.gis.db.models.fields import GeometryField
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from django.contrib.gis.db.models.fields import GeometryField, PointField
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# parse_lookup depends on the spatial database backend.
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from django.contrib.gis.db.backend import gqn, parse_lookup, SpatialBackend
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from django.contrib.gis.geos import GEOSGeometry
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from django.contrib.gis.geos import GEOSGeometry, Point
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# Shortcut booleans for determining the backend.
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oracle = SpatialBackend.name == 'oracle'
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@ -279,24 +279,27 @@ class GeoQuerySet(QuerySet):
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# `distance_lte` lookup type.
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where, params = geo_field.get_db_prep_lookup('distance_lte', (geom, 0))
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if oracle:
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# The `tolerance` keyword may be used for Oracle.
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# The `tolerance` keyword may be used for Oracle; the tolerance is
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# in meters -- a default of 5 centimeters is used.
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tolerance = kwargs.get('tolerance', 0.05)
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# More legwork here because the OracleSpatialAdaptor doesn't do
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# quoting of the WKT.
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tmp_params = [gqn(str(params[0]))]
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tmp_params.extend(params[1:])
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dsql = where[0] % tuple(tmp_params)
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dist_select = {'distance' : '%s(%s, %s, %s)' % (DISTANCE, geo_col, dsql, tolerance)}
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dist_select = {'distance' : '%s(%s, %s, %s)' % (DISTANCE, geo_col, where[0], tolerance)}
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else:
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dsql = where[0] % tuple(params)
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if len(where) == 3:
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# Spherical distance calculation was requested (b/c spheroid
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# parameter was attached) However, the PostGIS ST_distance_spheroid()
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# procedure may only do queries from point columns to point geometries
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# some error checking is required.
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if not isinstance(geo_field, PointField):
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raise TypeError('Spherical distance calculation only supported on PointFields.')
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if not isinstance(GEOSGeometry(params[0].wkb), Point):
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raise TypeError('Spherical distance calculation only supported with Point Geometry parameters')
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# Call to distance_spheroid() requires the spheroid as well.
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dist_sql = '%s(%s, %s, %s)' % (SpatialBackend.distance_spheroid, geo_col, dsql, where[1])
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dist_sql = '%s(%s, %s, %s)' % (SpatialBackend.distance_spheroid, geo_col, where[0], where[1])
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else:
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dist_sql = '%s(%s, %s)' % (DISTANCE, geo_col, dsql)
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dist_sql = '%s(%s, %s)' % (DISTANCE, geo_col, where[0])
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dist_select = {'distance' : dist_sql}
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return self.extra(select=dist_select)
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return self.extra(select=dist_select, params=params)
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def extent(self, field_name=None):
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"""
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@ -214,4 +214,4 @@ if settings.DATABASE_ENGINE == 'postgresql_psycopg2':
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elif settings.DATABASE_ENGINE == 'oracle':
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from django.contrib.gis.db.backend.oracle.models import GeometryColumns, SpatialRefSys
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else:
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raise NotImplementedError('No SpatialRefSys or GeometryColumns models for backend: %s' % settings.DATABASE_ENGINE)
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pass
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@ -8,6 +8,7 @@ au_cities = (('Wollongong', 150.902, -34.4245),
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('Sydney', 151.26071, -33.887034),
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('Hobart', 147.33, -42.8827),
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('Adelaide', 138.6, -34.9258),
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('Hillsdale', 151.231341, -33.952685),
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)
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stx_cities = (('Downtown Houston', 951640.547328, 4219369.26172),
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@ -2,7 +2,7 @@ import os, unittest
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from decimal import Decimal
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from django.contrib.gis.gdal import DataSource
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from django.contrib.gis.geos import GEOSGeometry, Point
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from django.contrib.gis.geos import GEOSGeometry, Point, LineString
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from django.contrib.gis.measure import D # alias for Distance
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from django.contrib.gis.db.models import GeoQ
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from django.contrib.gis.tests.utils import oracle
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@ -35,7 +35,7 @@ class DistanceTest(unittest.TestCase):
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load_cities(AustraliaCity, 4326, au_cities)
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self.assertEqual(10, SouthTexasCity.objects.count())
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self.assertEqual(10, AustraliaCity.objects.count())
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self.assertEqual(11, AustraliaCity.objects.count())
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def test02_dwithin(self):
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"Testing the `dwithin` lookup type."
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@ -56,18 +56,39 @@ class DistanceTest(unittest.TestCase):
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138809.684197, 158309.246259, 212183.594374,
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70870.188967, 165337.758878, 102128.654360,
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139196.085105]
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# Testing when the field name is explicitly set.
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dist1 = SouthTexasCity.objects.distance('point', lagrange)
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dist2 = SouthTexasCity.objects.distance(lagrange)
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dist2 = SouthTexasCity.objects.distance(lagrange) # Using GEOSGeometry parameter
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dist3 = SouthTexasCity.objects.distance(lagrange.ewkt) # Using EWKT string parameter.
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# Original query done on PostGIS, have to adjust AlmostEqual tolerance
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# for Oracle.
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if oracle: tol = 3
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if oracle: tol = 2
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else: tol = 5
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for qs in [dist1, dist2]:
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# Ensuring expected distances are returned for each distance queryset.
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for qs in [dist1, dist2, dist3]:
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for i, c in enumerate(qs):
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self.assertAlmostEqual(distances[i], c.distance, tol)
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# Now testing geodetic distance aggregation.
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hillsdale = AustraliaCity.objects.get(name='Hillsdale')
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if not oracle:
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# PostGIS is limited to disance queries only to/from point geometries,
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# ensuring a TypeError is raised if something else is put in.
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self.assertRaises(TypeError, AustraliaCity.objects.distance, 'LINESTRING(0 0, 1 1)')
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self.assertRaises(TypeError, AustraliaCity.objects.distance, LineString((0, 0), (1, 1)))
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# Got these distances using the raw SQL statement:
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# SELECT ST_distance_spheroid(point, ST_GeomFromText('POINT(151.231341 -33.952685)', 4326), 'SPHEROID["WGS 84",6378137.0,298.257223563]') FROM distapp_australiacity WHERE (NOT (id = 11));
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geodetic_distances = [60504.0628825298, 77023.948962654, 49154.8867507115, 90847.435881812, 217402.811862568, 709599.234619957, 640011.483583758, 7772.00667666425, 1047861.7859506, 1165126.55237647]
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# Ensuring the expected distances are returned.
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qs = AustraliaCity.objects.exclude(id=hillsdale.id).distance(hillsdale.point)
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for i, c in enumerate(qs):
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self.assertAlmostEqual(geodetic_distances[i], c.distance, tol)
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def test04_distance_lookups(self):
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"Testing the `distance_lt`, `distance_gt`, `distance_lte`, and `distance_gte` lookup types."
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# Only two cities (Houston and Southside Place) should be
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