159 lines
6.9 KiB
Python
159 lines
6.9 KiB
Python
"""
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Tests for geography support in PostGIS
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"""
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import os
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from django.contrib.gis.db import models
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from django.contrib.gis.db.models.functions import Area, Distance
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from django.contrib.gis.measure import D
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from django.db import NotSupportedError, connection
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from django.db.models.functions import Cast
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from django.test import TestCase, skipIfDBFeature, skipUnlessDBFeature
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from ..utils import FuncTestMixin
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from .models import City, County, Zipcode
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class GeographyTest(TestCase):
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fixtures = ['initial']
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def test01_fixture_load(self):
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"Ensure geography features loaded properly."
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self.assertEqual(8, City.objects.count())
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@skipUnlessDBFeature("supports_distances_lookups", "supports_distance_geodetic")
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def test02_distance_lookup(self):
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"Testing distance lookup support on non-point geography fields."
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z = Zipcode.objects.get(code='77002')
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cities1 = list(City.objects
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.filter(point__distance_lte=(z.poly, D(mi=500)))
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.order_by('name')
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.values_list('name', flat=True))
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cities2 = list(City.objects
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.filter(point__dwithin=(z.poly, D(mi=500)))
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.order_by('name')
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.values_list('name', flat=True))
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for cities in [cities1, cities2]:
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self.assertEqual(['Dallas', 'Houston', 'Oklahoma City'], cities)
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def test04_invalid_operators_functions(self):
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"Ensuring exceptions are raised for operators & functions invalid on geography fields."
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if not connection.ops.postgis:
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self.skipTest('This is a PostGIS-specific test.')
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# Only a subset of the geometry functions & operator are available
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# to PostGIS geography types. For more information, visit:
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# http://postgis.refractions.net/documentation/manual-1.5/ch08.html#PostGIS_GeographyFunctions
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z = Zipcode.objects.get(code='77002')
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# ST_Within not available.
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with self.assertRaises(ValueError):
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City.objects.filter(point__within=z.poly).count()
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# `@` operator not available.
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with self.assertRaises(ValueError):
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City.objects.filter(point__contained=z.poly).count()
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# Regression test for #14060, `~=` was never really implemented for PostGIS.
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htown = City.objects.get(name='Houston')
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with self.assertRaises(ValueError):
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City.objects.get(point__exact=htown.point)
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def test05_geography_layermapping(self):
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"Testing LayerMapping support on models with geography fields."
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# There is a similar test in `layermap` that uses the same data set,
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# but the County model here is a bit different.
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from django.contrib.gis.utils import LayerMapping
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# Getting the shapefile and mapping dictionary.
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shp_path = os.path.realpath(os.path.join(os.path.dirname(__file__), '..', 'data'))
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co_shp = os.path.join(shp_path, 'counties', 'counties.shp')
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co_mapping = {
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'name': 'Name',
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'state': 'State',
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'mpoly': 'MULTIPOLYGON',
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}
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# Reference county names, number of polygons, and state names.
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names = ['Bexar', 'Galveston', 'Harris', 'Honolulu', 'Pueblo']
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num_polys = [1, 2, 1, 19, 1] # Number of polygons for each.
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st_names = ['Texas', 'Texas', 'Texas', 'Hawaii', 'Colorado']
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lm = LayerMapping(County, co_shp, co_mapping, source_srs=4269, unique='name')
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lm.save(silent=True, strict=True)
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for c, name, num_poly, state in zip(County.objects.order_by('name'), names, num_polys, st_names):
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self.assertEqual(4326, c.mpoly.srid)
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self.assertEqual(num_poly, len(c.mpoly))
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self.assertEqual(name, c.name)
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self.assertEqual(state, c.state)
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class GeographyFunctionTests(FuncTestMixin, TestCase):
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fixtures = ['initial']
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@skipUnlessDBFeature("supports_extent_aggr")
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def test_cast_aggregate(self):
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"""
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Cast a geography to a geometry field for an aggregate function that
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expects a geometry input.
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"""
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if not connection.features.supports_geography:
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self.skipTest("This test needs geography support")
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expected = (-96.8016128540039, 29.7633724212646, -95.3631439208984, 32.782058715820)
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res = City.objects.filter(
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name__in=('Houston', 'Dallas')
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).aggregate(extent=models.Extent(Cast('point', models.PointField())))
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for val, exp in zip(res['extent'], expected):
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self.assertAlmostEqual(exp, val, 4)
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@skipUnlessDBFeature("has_Distance_function", "supports_distance_geodetic")
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def test_distance_function(self):
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"""
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Testing Distance() support on non-point geography fields.
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"""
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if connection.ops.oracle:
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ref_dists = [0, 4899.68, 8081.30, 9115.15]
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elif connection.ops.spatialite:
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if connection.ops.spatial_version < (5,):
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# SpatiaLite < 5 returns non-zero distance for polygons and points
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# covered by that polygon.
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ref_dists = [326.61, 4899.68, 8081.30, 9115.15]
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else:
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ref_dists = [0, 4899.68, 8081.30, 9115.15]
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else:
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ref_dists = [0, 4891.20, 8071.64, 9123.95]
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htown = City.objects.get(name='Houston')
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qs = Zipcode.objects.annotate(
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distance=Distance('poly', htown.point),
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distance2=Distance(htown.point, 'poly'),
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)
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for z, ref in zip(qs, ref_dists):
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self.assertAlmostEqual(z.distance.m, ref, 2)
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if connection.ops.postgis:
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# PostGIS casts geography to geometry when distance2 is calculated.
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ref_dists = [0, 4899.68, 8081.30, 9115.15]
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for z, ref in zip(qs, ref_dists):
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self.assertAlmostEqual(z.distance2.m, ref, 2)
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if not connection.ops.spatialite:
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# Distance function combined with a lookup.
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hzip = Zipcode.objects.get(code='77002')
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self.assertEqual(qs.get(distance__lte=0), hzip)
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@skipUnlessDBFeature("has_Area_function", "supports_area_geodetic")
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def test_geography_area(self):
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"""
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Testing that Area calculations work on geography columns.
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"""
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# SELECT ST_Area(poly) FROM geogapp_zipcode WHERE code='77002';
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z = Zipcode.objects.annotate(area=Area('poly')).get(code='77002')
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# Round to the nearest thousand as possible values (depending on
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# the database and geolib) include 5439084, 5439100, 5439101.
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rounded_value = z.area.sq_m
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rounded_value -= z.area.sq_m % 1000
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self.assertEqual(rounded_value, 5439000)
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@skipUnlessDBFeature("has_Area_function")
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@skipIfDBFeature("supports_area_geodetic")
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def test_geodetic_area_raises_if_not_supported(self):
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with self.assertRaisesMessage(NotSupportedError, 'Area on geodetic coordinate systems not supported.'):
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Zipcode.objects.annotate(area=Area('poly')).get(code='77002')
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