mirror of https://github.com/django/django.git
598 lines
27 KiB
Python
598 lines
27 KiB
Python
import unittest
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from django.contrib.gis.db.models.functions import (
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Area, Distance, Length, Perimeter, Transform, Union,
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)
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from django.contrib.gis.geos import GEOSGeometry, LineString, Point
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from django.contrib.gis.measure import D # alias for Distance
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from django.db import NotSupportedError, connection
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from django.db.models import Exists, F, OuterRef, Q
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from django.test import TestCase, skipIfDBFeature, skipUnlessDBFeature
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from ..utils import (
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FuncTestMixin, mysql, no_oracle, oracle, postgis, spatialite,
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)
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from .models import (
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AustraliaCity, CensusZipcode, Interstate, SouthTexasCity, SouthTexasCityFt,
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SouthTexasInterstate, SouthTexasZipcode,
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)
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class DistanceTest(TestCase):
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fixtures = ['initial']
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def setUp(self):
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# A point we are testing distances with -- using a WGS84
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# coordinate that'll be implicitly transformed to that to
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# the coordinate system of the field, EPSG:32140 (Texas South Central
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# w/units in meters)
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self.stx_pnt = GEOSGeometry('POINT (-95.370401017314293 29.704867409475465)', 4326)
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# Another one for Australia
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self.au_pnt = GEOSGeometry('POINT (150.791 -34.4919)', 4326)
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def get_names(self, qs):
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cities = [c.name for c in qs]
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cities.sort()
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return cities
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def test_init(self):
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"""
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Test initialization of distance models.
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"""
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self.assertEqual(9, SouthTexasCity.objects.count())
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self.assertEqual(9, SouthTexasCityFt.objects.count())
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self.assertEqual(11, AustraliaCity.objects.count())
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self.assertEqual(4, SouthTexasZipcode.objects.count())
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self.assertEqual(4, CensusZipcode.objects.count())
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self.assertEqual(1, Interstate.objects.count())
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self.assertEqual(1, SouthTexasInterstate.objects.count())
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@skipUnlessDBFeature("supports_dwithin_lookup")
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def test_dwithin(self):
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"""
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Test the `dwithin` lookup type.
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"""
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# Distances -- all should be equal (except for the
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# degree/meter pair in au_cities, that's somewhat
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# approximate).
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tx_dists = [(7000, 22965.83), D(km=7), D(mi=4.349)]
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au_dists = [(0.5, 32000), D(km=32), D(mi=19.884)]
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# Expected cities for Australia and Texas.
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tx_cities = ['Downtown Houston', 'Southside Place']
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au_cities = ['Mittagong', 'Shellharbour', 'Thirroul', 'Wollongong']
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# Performing distance queries on two projected coordinate systems one
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# with units in meters and the other in units of U.S. survey feet.
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for dist in tx_dists:
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if isinstance(dist, tuple):
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dist1, dist2 = dist
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else:
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dist1 = dist2 = dist
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qs1 = SouthTexasCity.objects.filter(point__dwithin=(self.stx_pnt, dist1))
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qs2 = SouthTexasCityFt.objects.filter(point__dwithin=(self.stx_pnt, dist2))
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for qs in qs1, qs2:
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with self.subTest(dist=dist, qs=qs):
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self.assertEqual(tx_cities, self.get_names(qs))
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# With a complex geometry expression
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self.assertFalse(SouthTexasCity.objects.exclude(point__dwithin=(Union('point', 'point'), 0)))
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# Now performing the `dwithin` queries on a geodetic coordinate system.
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for dist in au_dists:
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with self.subTest(dist=dist):
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type_error = isinstance(dist, D) and not oracle
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if isinstance(dist, tuple):
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if oracle or spatialite:
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# Result in meters
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dist = dist[1]
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else:
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# Result in units of the field
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dist = dist[0]
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# Creating the query set.
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qs = AustraliaCity.objects.order_by('name')
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if type_error:
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# A ValueError should be raised on PostGIS when trying to
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# pass Distance objects into a DWithin query using a
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# geodetic field.
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with self.assertRaises(ValueError):
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AustraliaCity.objects.filter(point__dwithin=(self.au_pnt, dist)).count()
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else:
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self.assertEqual(au_cities, self.get_names(qs.filter(point__dwithin=(self.au_pnt, dist))))
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@skipUnlessDBFeature("supports_distances_lookups")
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def test_distance_lookups(self):
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"""
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Test the `distance_lt`, `distance_gt`, `distance_lte`, and `distance_gte` lookup types.
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"""
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# Retrieving the cities within a 20km 'donut' w/a 7km radius 'hole'
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# (thus, Houston and Southside place will be excluded as tested in
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# the `test02_dwithin` above).
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for model in [SouthTexasCity, SouthTexasCityFt]:
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stx_pnt = self.stx_pnt.transform(model._meta.get_field('point').srid, clone=True)
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qs = model.objects.filter(point__distance_gte=(stx_pnt, D(km=7))).filter(
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point__distance_lte=(stx_pnt, D(km=20)),
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)
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cities = self.get_names(qs)
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self.assertEqual(cities, ['Bellaire', 'Pearland', 'West University Place'])
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# Doing a distance query using Polygons instead of a Point.
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z = SouthTexasZipcode.objects.get(name='77005')
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qs = SouthTexasZipcode.objects.exclude(name='77005').filter(poly__distance_lte=(z.poly, D(m=275)))
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self.assertEqual(['77025', '77401'], self.get_names(qs))
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# If we add a little more distance 77002 should be included.
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qs = SouthTexasZipcode.objects.exclude(name='77005').filter(poly__distance_lte=(z.poly, D(m=300)))
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self.assertEqual(['77002', '77025', '77401'], self.get_names(qs))
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@skipUnlessDBFeature("supports_distances_lookups", "supports_distance_geodetic")
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def test_geodetic_distance_lookups(self):
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"""
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Test distance lookups on geodetic coordinate systems.
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"""
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# Line is from Canberra to Sydney. Query is for all other cities within
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# a 100km of that line (which should exclude only Hobart & Adelaide).
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line = GEOSGeometry('LINESTRING(144.9630 -37.8143,151.2607 -33.8870)', 4326)
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dist_qs = AustraliaCity.objects.filter(point__distance_lte=(line, D(km=100)))
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expected_cities = [
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'Batemans Bay', 'Canberra', 'Hillsdale',
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'Melbourne', 'Mittagong', 'Shellharbour',
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'Sydney', 'Thirroul', 'Wollongong',
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]
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if spatialite:
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# SpatiaLite is less accurate and returns 102.8km for Batemans Bay.
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expected_cities.pop(0)
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self.assertEqual(expected_cities, self.get_names(dist_qs))
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msg = "2, 3, or 4-element tuple required for 'distance_lte' lookup."
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with self.assertRaisesMessage(ValueError, msg): # Too many params.
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len(AustraliaCity.objects.filter(point__distance_lte=('POINT(5 23)', D(km=100), 'spheroid', '4', None)))
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with self.assertRaisesMessage(ValueError, msg): # Too few params.
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len(AustraliaCity.objects.filter(point__distance_lte=('POINT(5 23)',)))
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msg = "For 4-element tuples the last argument must be the 'spheroid' directive."
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with self.assertRaisesMessage(ValueError, msg):
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len(AustraliaCity.objects.filter(point__distance_lte=('POINT(5 23)', D(km=100), 'spheroid', '4')))
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# Getting all cities w/in 550 miles of Hobart.
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hobart = AustraliaCity.objects.get(name='Hobart')
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qs = AustraliaCity.objects.exclude(name='Hobart').filter(point__distance_lte=(hobart.point, D(mi=550)))
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cities = self.get_names(qs)
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self.assertEqual(cities, ['Batemans Bay', 'Canberra', 'Melbourne'])
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# Cities that are either really close or really far from Wollongong --
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# and using different units of distance.
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wollongong = AustraliaCity.objects.get(name='Wollongong')
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d1, d2 = D(yd=19500), D(nm=400) # Yards (~17km) & Nautical miles.
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# Normal geodetic distance lookup (uses `distance_sphere` on PostGIS.
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gq1 = Q(point__distance_lte=(wollongong.point, d1))
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gq2 = Q(point__distance_gte=(wollongong.point, d2))
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qs1 = AustraliaCity.objects.exclude(name='Wollongong').filter(gq1 | gq2)
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# Geodetic distance lookup but telling GeoDjango to use `distance_spheroid`
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# instead (we should get the same results b/c accuracy variance won't matter
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# in this test case).
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querysets = [qs1]
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if connection.features.has_DistanceSpheroid_function:
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gq3 = Q(point__distance_lte=(wollongong.point, d1, 'spheroid'))
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gq4 = Q(point__distance_gte=(wollongong.point, d2, 'spheroid'))
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qs2 = AustraliaCity.objects.exclude(name='Wollongong').filter(gq3 | gq4)
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querysets.append(qs2)
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for qs in querysets:
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cities = self.get_names(qs)
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self.assertEqual(cities, ['Adelaide', 'Hobart', 'Shellharbour', 'Thirroul'])
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@skipUnlessDBFeature("supports_distances_lookups")
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def test_distance_lookups_with_expression_rhs(self):
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stx_pnt = self.stx_pnt.transform(SouthTexasCity._meta.get_field('point').srid, clone=True)
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qs = SouthTexasCity.objects.filter(
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point__distance_lte=(stx_pnt, F('radius')),
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).order_by('name')
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self.assertEqual(
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self.get_names(qs),
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['Bellaire', 'Downtown Houston', 'Southside Place', 'West University Place']
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)
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# With a combined expression
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qs = SouthTexasCity.objects.filter(
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point__distance_lte=(stx_pnt, F('radius') * 2),
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).order_by('name')
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self.assertEqual(len(qs), 5)
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self.assertIn('Pearland', self.get_names(qs))
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# With spheroid param
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if connection.features.supports_distance_geodetic:
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hobart = AustraliaCity.objects.get(name='Hobart')
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qs = AustraliaCity.objects.filter(
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point__distance_lte=(hobart.point, F('radius') * 70, 'spheroid'),
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).order_by('name')
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self.assertEqual(self.get_names(qs), ['Canberra', 'Hobart', 'Melbourne'])
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# With a complex geometry expression
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self.assertFalse(SouthTexasCity.objects.filter(point__distance_gt=(Union('point', 'point'), 0)))
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self.assertEqual(
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SouthTexasCity.objects.filter(point__distance_lte=(Union('point', 'point'), 0)).count(),
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SouthTexasCity.objects.count(),
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)
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@unittest.skipUnless(mysql, 'This is a MySQL-specific test')
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def test_mysql_geodetic_distance_error(self):
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msg = 'Only numeric values of degree units are allowed on geodetic distance queries.'
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with self.assertRaisesMessage(ValueError, msg):
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AustraliaCity.objects.filter(point__distance_lte=(Point(0, 0), D(m=100))).exists()
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@skipUnlessDBFeature('supports_dwithin_lookup')
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def test_dwithin_subquery(self):
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"""dwithin lookup in a subquery using OuterRef as a parameter."""
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qs = CensusZipcode.objects.annotate(
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annotated_value=Exists(SouthTexasCity.objects.filter(
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point__dwithin=(OuterRef('poly'), D(m=10)),
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))
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).filter(annotated_value=True)
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self.assertEqual(self.get_names(qs), ['77002', '77025', '77401'])
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@skipUnlessDBFeature('supports_dwithin_lookup', 'supports_dwithin_distance_expr')
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def test_dwithin_with_expression_rhs(self):
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# LineString of Wollongong and Adelaide coords.
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ls = LineString(((150.902, -34.4245), (138.6, -34.9258)), srid=4326)
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qs = AustraliaCity.objects.filter(
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point__dwithin=(ls, F('allowed_distance')),
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).order_by('name')
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self.assertEqual(
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self.get_names(qs),
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['Adelaide', 'Mittagong', 'Shellharbour', 'Thirroul', 'Wollongong'],
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)
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@skipIfDBFeature('supports_dwithin_distance_expr')
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def test_dwithin_with_expression_rhs_not_supported(self):
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ls = LineString(((150.902, -34.4245), (138.6, -34.9258)), srid=4326)
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msg = (
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'This backend does not support expressions for specifying '
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'distance in the dwithin lookup.'
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)
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with self.assertRaisesMessage(NotSupportedError, msg):
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list(AustraliaCity.objects.filter(
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point__dwithin=(ls, F('allowed_distance')),
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))
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'''
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=============================
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Distance functions on PostGIS
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=============================
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| Projected Geometry | Lon/lat Geometry | Geography (4326)
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ST_Distance(geom1, geom2) | OK (meters) | :-( (degrees) | OK (meters)
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ST_Distance(geom1, geom2, use_spheroid=False) | N/A | N/A | OK (meters), less accurate, quick
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Distance_Sphere(geom1, geom2) | N/A | OK (meters) | N/A
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Distance_Spheroid(geom1, geom2, spheroid) | N/A | OK (meters) | N/A
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ST_Perimeter(geom1) | OK | :-( (degrees) | OK
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================================
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Distance functions on SpatiaLite
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================================
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| Projected Geometry | Lon/lat Geometry
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ST_Distance(geom1, geom2) | OK (meters) | N/A
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ST_Distance(geom1, geom2, use_ellipsoid=True) | N/A | OK (meters)
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ST_Distance(geom1, geom2, use_ellipsoid=False) | N/A | OK (meters), less accurate, quick
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Perimeter(geom1) | OK | :-( (degrees)
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''' # NOQA
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class DistanceFunctionsTests(FuncTestMixin, TestCase):
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fixtures = ['initial']
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@skipUnlessDBFeature("has_Area_function")
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def test_area(self):
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# Reference queries:
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# SELECT ST_Area(poly) FROM distapp_southtexaszipcode;
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area_sq_m = [5437908.90234375, 10183031.4389648, 11254471.0073242, 9881708.91772461]
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# Tolerance has to be lower for Oracle
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tol = 2
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for i, z in enumerate(SouthTexasZipcode.objects.annotate(area=Area('poly')).order_by('name')):
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self.assertAlmostEqual(area_sq_m[i], z.area.sq_m, tol)
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@skipUnlessDBFeature("has_Distance_function")
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def test_distance_simple(self):
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"""
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Test a simple distance query, with projected coordinates and without
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transformation.
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"""
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lagrange = GEOSGeometry('POINT(805066.295722839 4231496.29461335)', 32140)
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houston = SouthTexasCity.objects.annotate(dist=Distance('point', lagrange)).order_by('id').first()
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tol = 2 if oracle else 5
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self.assertAlmostEqual(
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houston.dist.m,
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147075.069813,
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tol
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)
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@skipUnlessDBFeature("has_Distance_function", "has_Transform_function")
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def test_distance_projected(self):
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"""
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Test the `Distance` function on projected coordinate systems.
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"""
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# The point for La Grange, TX
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lagrange = GEOSGeometry('POINT(-96.876369 29.905320)', 4326)
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# Reference distances in feet and in meters. Got these values from
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# using the provided raw SQL statements.
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# SELECT ST_Distance(point, ST_Transform(ST_GeomFromText('POINT(-96.876369 29.905320)', 4326), 32140))
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# FROM distapp_southtexascity;
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m_distances = [147075.069813, 139630.198056, 140888.552826,
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138809.684197, 158309.246259, 212183.594374,
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70870.188967, 165337.758878, 139196.085105]
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# SELECT ST_Distance(point, ST_Transform(ST_GeomFromText('POINT(-96.876369 29.905320)', 4326), 2278))
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# FROM distapp_southtexascityft;
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ft_distances = [482528.79154625, 458103.408123001, 462231.860397575,
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455411.438904354, 519386.252102563, 696139.009211594,
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232513.278304279, 542445.630586414, 456679.155883207]
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# Testing using different variations of parameters and using models
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# with different projected coordinate systems.
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dist1 = SouthTexasCity.objects.annotate(distance=Distance('point', lagrange)).order_by('id')
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dist2 = SouthTexasCityFt.objects.annotate(distance=Distance('point', lagrange)).order_by('id')
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dist_qs = [dist1, dist2]
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# Original query done on PostGIS, have to adjust AlmostEqual tolerance
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# for Oracle.
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tol = 2 if oracle else 5
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# Ensuring expected distances are returned for each distance queryset.
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for qs in dist_qs:
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for i, c in enumerate(qs):
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with self.subTest(c=c):
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self.assertAlmostEqual(m_distances[i], c.distance.m, tol)
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self.assertAlmostEqual(ft_distances[i], c.distance.survey_ft, tol)
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@skipUnlessDBFeature("has_Distance_function", "supports_distance_geodetic")
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def test_distance_geodetic(self):
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"""
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Test the `Distance` function on geodetic coordinate systems.
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"""
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# Testing geodetic distance calculation with a non-point geometry
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# (a LineString of Wollongong and Shellharbour coords).
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ls = LineString(((150.902, -34.4245), (150.87, -34.5789)), srid=4326)
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# Reference query:
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# SELECT ST_distance_sphere(point, ST_GeomFromText('LINESTRING(150.9020 -34.4245,150.8700 -34.5789)', 4326))
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# FROM distapp_australiacity ORDER BY name;
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distances = [1120954.92533513, 140575.720018241, 640396.662906304,
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60580.9693849269, 972807.955955075, 568451.8357838,
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40435.4335201384, 0, 68272.3896586844, 12375.0643697706, 0]
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qs = AustraliaCity.objects.annotate(distance=Distance('point', ls)).order_by('name')
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for city, distance in zip(qs, distances):
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with self.subTest(city=city, distance=distance):
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# Testing equivalence to within a meter (kilometer on SpatiaLite).
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tol = -3 if spatialite else 0
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self.assertAlmostEqual(distance, city.distance.m, tol)
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@skipUnlessDBFeature("has_Distance_function", "supports_distance_geodetic")
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def test_distance_geodetic_spheroid(self):
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tol = 2 if oracle else 4
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# Got the reference distances using the raw SQL statements:
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# SELECT ST_distance_spheroid(point, ST_GeomFromText('POINT(151.231341 -33.952685)', 4326),
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# 'SPHEROID["WGS 84",6378137.0,298.257223563]') FROM distapp_australiacity WHERE (NOT (id = 11));
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# SELECT ST_distance_sphere(point, ST_GeomFromText('POINT(151.231341 -33.952685)', 4326))
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# FROM distapp_australiacity WHERE (NOT (id = 11)); st_distance_sphere
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spheroid_distances = [
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60504.0628957201, 77023.9489850262, 49154.8867574404,
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90847.4358768573, 217402.811919332, 709599.234564757,
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640011.483550888, 7772.00667991925, 1047861.78619339,
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1165126.55236034,
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]
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sphere_distances = [
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60580.9693849267, 77144.0435286473, 49199.4415344719,
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90804.7533823494, 217713.384600405, 709134.127242793,
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639828.157159169, 7786.82949717788, 1049204.06569028,
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1162623.7238134,
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]
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# Testing with spheroid distances first.
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hillsdale = AustraliaCity.objects.get(name='Hillsdale')
|
|
qs = AustraliaCity.objects.exclude(id=hillsdale.id).annotate(
|
|
distance=Distance('point', hillsdale.point, spheroid=True)
|
|
).order_by('id')
|
|
for i, c in enumerate(qs):
|
|
with self.subTest(c=c):
|
|
self.assertAlmostEqual(spheroid_distances[i], c.distance.m, tol)
|
|
if postgis or spatialite:
|
|
# PostGIS uses sphere-only distances by default, testing these as well.
|
|
qs = AustraliaCity.objects.exclude(id=hillsdale.id).annotate(
|
|
distance=Distance('point', hillsdale.point)
|
|
).order_by('id')
|
|
for i, c in enumerate(qs):
|
|
with self.subTest(c=c):
|
|
self.assertAlmostEqual(sphere_distances[i], c.distance.m, tol)
|
|
|
|
@skipIfDBFeature("supports_distance_geodetic")
|
|
@skipUnlessDBFeature("has_Distance_function")
|
|
def test_distance_function_raw_result(self):
|
|
distance = Interstate.objects.annotate(
|
|
d=Distance(Point(0, 0, srid=4326), Point(0, 1, srid=4326)),
|
|
).first().d
|
|
self.assertEqual(distance, 1)
|
|
|
|
@skipUnlessDBFeature("has_Distance_function")
|
|
def test_distance_function_d_lookup(self):
|
|
qs = Interstate.objects.annotate(
|
|
d=Distance(Point(0, 0, srid=3857), Point(0, 1, srid=3857)),
|
|
).filter(d=D(m=1))
|
|
self.assertTrue(qs.exists())
|
|
|
|
@unittest.skipUnless(
|
|
connection.vendor == 'oracle',
|
|
'Oracle supports tolerance parameter.',
|
|
)
|
|
def test_distance_function_tolerance_escaping(self):
|
|
qs = Interstate.objects.annotate(
|
|
d=Distance(
|
|
Point(500, 500, srid=3857),
|
|
Point(0, 0, srid=3857),
|
|
tolerance='0.05) = 1 OR 1=1 OR (1+1',
|
|
),
|
|
).filter(d=D(m=1)).values('pk')
|
|
msg = 'The tolerance parameter has the wrong type'
|
|
with self.assertRaisesMessage(TypeError, msg):
|
|
qs.exists()
|
|
|
|
@unittest.skipUnless(
|
|
connection.vendor == 'oracle',
|
|
'Oracle supports tolerance parameter.',
|
|
)
|
|
def test_distance_function_tolerance(self):
|
|
# Tolerance is greater than distance.
|
|
qs = Interstate.objects.annotate(
|
|
d=Distance(
|
|
Point(0, 0, srid=3857),
|
|
Point(1, 1, srid=3857),
|
|
tolerance=1.5,
|
|
),
|
|
).filter(d=0).values('pk')
|
|
self.assertIs(qs.exists(), True)
|
|
|
|
@skipIfDBFeature("supports_distance_geodetic")
|
|
@skipUnlessDBFeature("has_Distance_function")
|
|
def test_distance_function_raw_result_d_lookup(self):
|
|
qs = Interstate.objects.annotate(
|
|
d=Distance(Point(0, 0, srid=4326), Point(0, 1, srid=4326)),
|
|
).filter(d=D(m=1))
|
|
msg = 'Distance measure is supplied, but units are unknown for result.'
|
|
with self.assertRaisesMessage(ValueError, msg):
|
|
list(qs)
|
|
|
|
@no_oracle # Oracle already handles geographic distance calculation.
|
|
@skipUnlessDBFeature("has_Distance_function", 'has_Transform_function')
|
|
def test_distance_transform(self):
|
|
"""
|
|
Test the `Distance` function used with `Transform` on a geographic field.
|
|
"""
|
|
# We'll be using a Polygon (created by buffering the centroid
|
|
# of 77005 to 100m) -- which aren't allowed in geographic distance
|
|
# queries normally, however our field has been transformed to
|
|
# a non-geographic system.
|
|
z = SouthTexasZipcode.objects.get(name='77005')
|
|
|
|
# Reference query:
|
|
# SELECT ST_Distance(ST_Transform("distapp_censuszipcode"."poly", 32140),
|
|
# ST_GeomFromText('<buffer_wkt>', 32140))
|
|
# FROM "distapp_censuszipcode";
|
|
dists_m = [3553.30384972258, 1243.18391525602, 2186.15439472242]
|
|
|
|
# Having our buffer in the SRID of the transformation and of the field
|
|
# -- should get the same results. The first buffer has no need for
|
|
# transformation SQL because it is the same SRID as what was given
|
|
# to `transform()`. The second buffer will need to be transformed,
|
|
# however.
|
|
buf1 = z.poly.centroid.buffer(100)
|
|
buf2 = buf1.transform(4269, clone=True)
|
|
ref_zips = ['77002', '77025', '77401']
|
|
|
|
for buf in [buf1, buf2]:
|
|
qs = CensusZipcode.objects.exclude(name='77005').annotate(
|
|
distance=Distance(Transform('poly', 32140), buf)
|
|
).order_by('name')
|
|
self.assertEqual(ref_zips, sorted(c.name for c in qs))
|
|
for i, z in enumerate(qs):
|
|
self.assertAlmostEqual(z.distance.m, dists_m[i], 5)
|
|
|
|
@skipUnlessDBFeature("has_Distance_function")
|
|
def test_distance_order_by(self):
|
|
qs = SouthTexasCity.objects.annotate(distance=Distance('point', Point(3, 3, srid=32140))).order_by(
|
|
'distance'
|
|
).values_list('name', flat=True).filter(name__in=('San Antonio', 'Pearland'))
|
|
self.assertSequenceEqual(qs, ['San Antonio', 'Pearland'])
|
|
|
|
@skipUnlessDBFeature("has_Length_function")
|
|
def test_length(self):
|
|
"""
|
|
Test the `Length` function.
|
|
"""
|
|
# Reference query (should use `length_spheroid`).
|
|
# SELECT ST_length_spheroid(ST_GeomFromText('<wkt>', 4326) 'SPHEROID["WGS 84",6378137,298.257223563,
|
|
# AUTHORITY["EPSG","7030"]]');
|
|
len_m1 = 473504.769553813
|
|
len_m2 = 4617.668
|
|
|
|
if connection.features.supports_length_geodetic:
|
|
qs = Interstate.objects.annotate(length=Length('path'))
|
|
tol = 2 if oracle else 3
|
|
self.assertAlmostEqual(len_m1, qs[0].length.m, tol)
|
|
# TODO: test with spheroid argument (True and False)
|
|
else:
|
|
# Does not support geodetic coordinate systems.
|
|
with self.assertRaises(NotSupportedError):
|
|
list(Interstate.objects.annotate(length=Length('path')))
|
|
|
|
# Now doing length on a projected coordinate system.
|
|
i10 = SouthTexasInterstate.objects.annotate(length=Length('path')).get(name='I-10')
|
|
self.assertAlmostEqual(len_m2, i10.length.m, 2)
|
|
self.assertTrue(
|
|
SouthTexasInterstate.objects.annotate(length=Length('path')).filter(length__gt=4000).exists()
|
|
)
|
|
# Length with an explicit geometry value.
|
|
qs = Interstate.objects.annotate(length=Length(i10.path))
|
|
self.assertAlmostEqual(qs.first().length.m, len_m2, 2)
|
|
|
|
@skipUnlessDBFeature("has_Perimeter_function")
|
|
def test_perimeter(self):
|
|
"""
|
|
Test the `Perimeter` function.
|
|
"""
|
|
# Reference query:
|
|
# SELECT ST_Perimeter(distapp_southtexaszipcode.poly) FROM distapp_southtexaszipcode;
|
|
perim_m = [18404.3550889361, 15627.2108551001, 20632.5588368978, 17094.5996143697]
|
|
tol = 2 if oracle else 7
|
|
qs = SouthTexasZipcode.objects.annotate(perimeter=Perimeter('poly')).order_by('name')
|
|
for i, z in enumerate(qs):
|
|
self.assertAlmostEqual(perim_m[i], z.perimeter.m, tol)
|
|
|
|
# Running on points; should return 0.
|
|
qs = SouthTexasCity.objects.annotate(perim=Perimeter('point'))
|
|
for city in qs:
|
|
self.assertEqual(0, city.perim.m)
|
|
|
|
@skipUnlessDBFeature("has_Perimeter_function")
|
|
def test_perimeter_geodetic(self):
|
|
# Currently only Oracle supports calculating the perimeter on geodetic
|
|
# geometries (without being transformed).
|
|
qs1 = CensusZipcode.objects.annotate(perim=Perimeter('poly'))
|
|
if connection.features.supports_perimeter_geodetic:
|
|
self.assertAlmostEqual(qs1[0].perim.m, 18406.3818954314, 3)
|
|
else:
|
|
with self.assertRaises(NotSupportedError):
|
|
list(qs1)
|
|
# But should work fine when transformed to projected coordinates
|
|
qs2 = CensusZipcode.objects.annotate(perim=Perimeter(Transform('poly', 32140))).filter(name='77002')
|
|
self.assertAlmostEqual(qs2[0].perim.m, 18404.355, 3)
|
|
|
|
@skipUnlessDBFeature("supports_null_geometries", "has_Area_function", "has_Distance_function")
|
|
def test_measurement_null_fields(self):
|
|
"""
|
|
Test the measurement functions on fields with NULL values.
|
|
"""
|
|
# Creating SouthTexasZipcode w/NULL value.
|
|
SouthTexasZipcode.objects.create(name='78212')
|
|
# Performing distance/area queries against the NULL PolygonField,
|
|
# and ensuring the result of the operations is None.
|
|
htown = SouthTexasCity.objects.get(name='Downtown Houston')
|
|
z = SouthTexasZipcode.objects.annotate(
|
|
distance=Distance('poly', htown.point), area=Area('poly')
|
|
).get(name='78212')
|
|
self.assertIsNone(z.distance)
|
|
self.assertIsNone(z.area)
|