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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
This commit is contained in:
Justin Bronn 2008-02-20 21:15:43 +00:00
parent bdab7abe2c
commit 6fef560d97
5 changed files with 52 additions and 23 deletions

View File

@ -12,7 +12,7 @@ from django.contrib.gis.oldforms import WKTField
# Attempting to get the spatial reference system.
try:
from django.contrib.gis.models import SpatialRefSys
except NotImplementedError:
except ImportError:
SpatialRefSys = None
#TODO: Flesh out widgets; consider adding support for OGR Geometry proxies.
@ -22,6 +22,9 @@ class GeometryField(SpatialBackend.Field):
# The OpenGIS Geometry name.
_geom = 'GEOMETRY'
# Geodetic units.
geodetic_units = ('Decimal Degree', 'degree')
def __init__(self, srid=4326, spatial_index=True, dim=2, **kwargs):
"""
The initialization function for geometry fields. Takes the following
@ -82,8 +85,9 @@ class GeometryField(SpatialBackend.Field):
`D(km=1)` was passed in and the units of the field were in meters,
then 1000 would be returned.
"""
if isinstance(dist, Distance):
if self._unit_name in ('Decimal Degree', 'degree'):
if self._unit_name in self.geodetic_units:
# Spherical distance calculation parameter should be in meters.
dist_param = dist.m
else:
@ -93,7 +97,7 @@ class GeometryField(SpatialBackend.Field):
dist_param = dist
# Sphereical distance query; returning meters.
if SpatialBackend.name == 'postgis' and self._unit_name == 'degree':
if SpatialBackend.name == 'postgis' and self._unit_name in self.geodetic_units:
return [gqn(self._spheroid), dist_param]
else:
return [dist_param]

View File

@ -4,10 +4,10 @@ from django.db import connection
from django.db.models.query import EmptyResultSet, Q, QuerySet, handle_legacy_orderlist, quote_only_if_word, orderfield2column, fill_table_cache
from django.db.models.fields import FieldDoesNotExist
from django.utils.datastructures import SortedDict
from django.contrib.gis.db.models.fields import GeometryField
from django.contrib.gis.db.models.fields import GeometryField, PointField
# parse_lookup depends on the spatial database backend.
from django.contrib.gis.db.backend import gqn, parse_lookup, SpatialBackend
from django.contrib.gis.geos import GEOSGeometry
from django.contrib.gis.geos import GEOSGeometry, Point
# Shortcut booleans for determining the backend.
oracle = SpatialBackend.name == 'oracle'
@ -279,24 +279,27 @@ class GeoQuerySet(QuerySet):
# `distance_lte` lookup type.
where, params = geo_field.get_db_prep_lookup('distance_lte', (geom, 0))
if oracle:
# The `tolerance` keyword may be used for Oracle.
# The `tolerance` keyword may be used for Oracle; the tolerance is
# in meters -- a default of 5 centimeters is used.
tolerance = kwargs.get('tolerance', 0.05)
# More legwork here because the OracleSpatialAdaptor doesn't do
# quoting of the WKT.
tmp_params = [gqn(str(params[0]))]
tmp_params.extend(params[1:])
dsql = where[0] % tuple(tmp_params)
dist_select = {'distance' : '%s(%s, %s, %s)' % (DISTANCE, geo_col, dsql, tolerance)}
dist_select = {'distance' : '%s(%s, %s, %s)' % (DISTANCE, geo_col, where[0], tolerance)}
else:
dsql = where[0] % tuple(params)
if len(where) == 3:
# Spherical distance calculation was requested (b/c spheroid
# parameter was attached) However, the PostGIS ST_distance_spheroid()
# procedure may only do queries from point columns to point geometries
# some error checking is required.
if not isinstance(geo_field, PointField):
raise TypeError('Spherical distance calculation only supported on PointFields.')
if not isinstance(GEOSGeometry(params[0].wkb), Point):
raise TypeError('Spherical distance calculation only supported with Point Geometry parameters')
# Call to distance_spheroid() requires the spheroid as well.
dist_sql = '%s(%s, %s, %s)' % (SpatialBackend.distance_spheroid, geo_col, dsql, where[1])
dist_sql = '%s(%s, %s, %s)' % (SpatialBackend.distance_spheroid, geo_col, where[0], where[1])
else:
dist_sql = '%s(%s, %s)' % (DISTANCE, geo_col, dsql)
dist_sql = '%s(%s, %s)' % (DISTANCE, geo_col, where[0])
dist_select = {'distance' : dist_sql}
return self.extra(select=dist_select)
return self.extra(select=dist_select, params=params)
def extent(self, field_name=None):
"""

View File

@ -214,4 +214,4 @@ if settings.DATABASE_ENGINE == 'postgresql_psycopg2':
elif settings.DATABASE_ENGINE == 'oracle':
from django.contrib.gis.db.backend.oracle.models import GeometryColumns, SpatialRefSys
else:
raise NotImplementedError('No SpatialRefSys or GeometryColumns models for backend: %s' % settings.DATABASE_ENGINE)
pass

View File

@ -8,6 +8,7 @@ au_cities = (('Wollongong', 150.902, -34.4245),
('Sydney', 151.26071, -33.887034),
('Hobart', 147.33, -42.8827),
('Adelaide', 138.6, -34.9258),
('Hillsdale', 151.231341, -33.952685),
)
stx_cities = (('Downtown Houston', 951640.547328, 4219369.26172),

View File

@ -2,7 +2,7 @@ import os, unittest
from decimal import Decimal
from django.contrib.gis.gdal import DataSource
from django.contrib.gis.geos import GEOSGeometry, Point
from django.contrib.gis.geos import GEOSGeometry, Point, LineString
from django.contrib.gis.measure import D # alias for Distance
from django.contrib.gis.db.models import GeoQ
from django.contrib.gis.tests.utils import oracle
@ -35,7 +35,7 @@ class DistanceTest(unittest.TestCase):
load_cities(AustraliaCity, 4326, au_cities)
self.assertEqual(10, SouthTexasCity.objects.count())
self.assertEqual(10, AustraliaCity.objects.count())
self.assertEqual(11, AustraliaCity.objects.count())
def test02_dwithin(self):
"Testing the `dwithin` lookup type."
@ -56,18 +56,39 @@ class DistanceTest(unittest.TestCase):
138809.684197, 158309.246259, 212183.594374,
70870.188967, 165337.758878, 102128.654360,
139196.085105]
# Testing when the field name is explicitly set.
dist1 = SouthTexasCity.objects.distance('point', lagrange)
dist2 = SouthTexasCity.objects.distance(lagrange)
dist2 = SouthTexasCity.objects.distance(lagrange) # Using GEOSGeometry parameter
dist3 = SouthTexasCity.objects.distance(lagrange.ewkt) # Using EWKT string parameter.
# Original query done on PostGIS, have to adjust AlmostEqual tolerance
# for Oracle.
if oracle: tol = 3
if oracle: tol = 2
else: tol = 5
for qs in [dist1, dist2]:
# Ensuring expected distances are returned for each distance queryset.
for qs in [dist1, dist2, dist3]:
for i, c in enumerate(qs):
self.assertAlmostEqual(distances[i], c.distance, tol)
# Now testing geodetic distance aggregation.
hillsdale = AustraliaCity.objects.get(name='Hillsdale')
if not oracle:
# PostGIS is limited to disance queries only to/from point geometries,
# ensuring a TypeError is raised if something else is put in.
self.assertRaises(TypeError, AustraliaCity.objects.distance, 'LINESTRING(0 0, 1 1)')
self.assertRaises(TypeError, AustraliaCity.objects.distance, LineString((0, 0), (1, 1)))
# Got these distances using the raw SQL statement:
# 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));
geodetic_distances = [60504.0628825298, 77023.948962654, 49154.8867507115, 90847.435881812, 217402.811862568, 709599.234619957, 640011.483583758, 7772.00667666425, 1047861.7859506, 1165126.55237647]
# Ensuring the expected distances are returned.
qs = AustraliaCity.objects.exclude(id=hillsdale.id).distance(hillsdale.point)
for i, c in enumerate(qs):
self.assertAlmostEqual(geodetic_distances[i], c.distance, tol)
def test04_distance_lookups(self):
"Testing the `distance_lt`, `distance_gt`, `distance_lte`, and `distance_gte` lookup types."
# Only two cities (Houston and Southside Place) should be