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299 lines
14 KiB
Python
299 lines
14 KiB
Python
from django.contrib.gis.db.models import Collect, Count, Extent, F, Union
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from django.contrib.gis.geometry.backend import Geometry
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from django.contrib.gis.geos import GEOSGeometry, MultiPoint, Point
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from django.db import connection
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from django.test import TestCase, skipUnlessDBFeature
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from django.test.utils import override_settings
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from django.utils import timezone
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from ..utils import no_oracle
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from .models import (
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Article, Author, Book, City, DirectoryEntry, Event, Location, Parcel,
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)
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class RelatedGeoModelTest(TestCase):
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fixtures = ['initial']
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def test02_select_related(self):
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"Testing `select_related` on geographic models (see #7126)."
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qs1 = City.objects.order_by('id')
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qs2 = City.objects.order_by('id').select_related()
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qs3 = City.objects.order_by('id').select_related('location')
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# Reference data for what's in the fixtures.
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cities = (
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('Aurora', 'TX', -97.516111, 33.058333),
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('Roswell', 'NM', -104.528056, 33.387222),
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('Kecksburg', 'PA', -79.460734, 40.18476),
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)
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for qs in (qs1, qs2, qs3):
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for ref, c in zip(cities, qs):
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nm, st, lon, lat = ref
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self.assertEqual(nm, c.name)
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self.assertEqual(st, c.state)
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self.assertEqual(Point(lon, lat, srid=c.location.point.srid), c.location.point)
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@skipUnlessDBFeature("supports_extent_aggr")
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def test_related_extent_aggregate(self):
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"Testing the `Extent` aggregate on related geographic models."
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# This combines the Extent and Union aggregates into one query
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aggs = City.objects.aggregate(Extent('location__point'))
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# One for all locations, one that excludes New Mexico (Roswell).
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all_extent = (-104.528056, 29.763374, -79.460734, 40.18476)
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txpa_extent = (-97.516111, 29.763374, -79.460734, 40.18476)
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e1 = City.objects.aggregate(Extent('location__point'))['location__point__extent']
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e2 = City.objects.exclude(state='NM').aggregate(Extent('location__point'))['location__point__extent']
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e3 = aggs['location__point__extent']
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# The tolerance value is to four decimal places because of differences
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# between the Oracle and PostGIS spatial backends on the extent calculation.
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tol = 4
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for ref, e in [(all_extent, e1), (txpa_extent, e2), (all_extent, e3)]:
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for ref_val, e_val in zip(ref, e):
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self.assertAlmostEqual(ref_val, e_val, tol)
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@skipUnlessDBFeature("supports_extent_aggr")
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def test_related_extent_annotate(self):
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"""
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Test annotation with Extent GeoAggregate.
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"""
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cities = City.objects.annotate(points_extent=Extent('location__point')).order_by('name')
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tol = 4
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self.assertAlmostEqual(
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cities[0].points_extent,
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(-97.516111, 33.058333, -97.516111, 33.058333),
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tol
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)
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@skipUnlessDBFeature('supports_union_aggr')
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def test_related_union_aggregate(self):
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"Testing the `Union` aggregate on related geographic models."
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# This combines the Extent and Union aggregates into one query
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aggs = City.objects.aggregate(Union('location__point'))
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# These are the points that are components of the aggregate geographic
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# union that is returned. Each point # corresponds to City PK.
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p1 = Point(-104.528056, 33.387222)
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p2 = Point(-97.516111, 33.058333)
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p3 = Point(-79.460734, 40.18476)
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p4 = Point(-96.801611, 32.782057)
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p5 = Point(-95.363151, 29.763374)
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# The second union aggregate is for a union
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# query that includes limiting information in the WHERE clause (in other
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# words a `.filter()` precedes the call to `.aggregate(Union()`).
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ref_u1 = MultiPoint(p1, p2, p4, p5, p3, srid=4326)
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ref_u2 = MultiPoint(p2, p3, srid=4326)
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u1 = City.objects.aggregate(Union('location__point'))['location__point__union']
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u2 = City.objects.exclude(
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name__in=('Roswell', 'Houston', 'Dallas', 'Fort Worth'),
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).aggregate(Union('location__point'))['location__point__union']
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u3 = aggs['location__point__union']
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self.assertEqual(type(u1), MultiPoint)
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self.assertEqual(type(u3), MultiPoint)
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# Ordering of points in the result of the union is not defined and
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# implementation-dependent (DB backend, GEOS version)
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self.assertEqual({p.ewkt for p in ref_u1}, {p.ewkt for p in u1})
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self.assertEqual({p.ewkt for p in ref_u2}, {p.ewkt for p in u2})
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self.assertEqual({p.ewkt for p in ref_u1}, {p.ewkt for p in u3})
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def test05_select_related_fk_to_subclass(self):
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"Testing that calling select_related on a query over a model with an FK to a model subclass works"
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# Regression test for #9752.
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list(DirectoryEntry.objects.all().select_related())
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def test06_f_expressions(self):
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"Testing F() expressions on GeometryFields."
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# Constructing a dummy parcel border and getting the City instance for
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# assigning the FK.
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b1 = GEOSGeometry(
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'POLYGON((-97.501205 33.052520,-97.501205 33.052576,'
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'-97.501150 33.052576,-97.501150 33.052520,-97.501205 33.052520))',
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srid=4326
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)
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pcity = City.objects.get(name='Aurora')
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# First parcel has incorrect center point that is equal to the City;
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# it also has a second border that is different from the first as a
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# 100ft buffer around the City.
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c1 = pcity.location.point
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c2 = c1.transform(2276, clone=True)
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b2 = c2.buffer(100)
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Parcel.objects.create(name='P1', city=pcity, center1=c1, center2=c2, border1=b1, border2=b2)
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# Now creating a second Parcel where the borders are the same, just
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# in different coordinate systems. The center points are also the
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# same (but in different coordinate systems), and this time they
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# actually correspond to the centroid of the border.
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c1 = b1.centroid
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c2 = c1.transform(2276, clone=True)
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Parcel.objects.create(name='P2', city=pcity, center1=c1, center2=c2, border1=b1, border2=b1)
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# Should return the second Parcel, which has the center within the
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# border.
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qs = Parcel.objects.filter(center1__within=F('border1'))
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self.assertEqual(1, len(qs))
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self.assertEqual('P2', qs[0].name)
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if connection.features.supports_transform:
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# This time center2 is in a different coordinate system and needs
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# to be wrapped in transformation SQL.
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qs = Parcel.objects.filter(center2__within=F('border1'))
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self.assertEqual(1, len(qs))
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self.assertEqual('P2', qs[0].name)
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# Should return the first Parcel, which has the center point equal
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# to the point in the City ForeignKey.
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qs = Parcel.objects.filter(center1=F('city__location__point'))
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self.assertEqual(1, len(qs))
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self.assertEqual('P1', qs[0].name)
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if connection.features.supports_transform:
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# This time the city column should be wrapped in transformation SQL.
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qs = Parcel.objects.filter(border2__contains=F('city__location__point'))
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self.assertEqual(1, len(qs))
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self.assertEqual('P1', qs[0].name)
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def test07_values(self):
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"Testing values() and values_list()."
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gqs = Location.objects.all()
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gvqs = Location.objects.values()
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gvlqs = Location.objects.values_list()
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# Incrementing through each of the models, dictionaries, and tuples
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# returned by each QuerySet.
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for m, d, t in zip(gqs, gvqs, gvlqs):
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# The values should be Geometry objects and not raw strings returned
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# by the spatial database.
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self.assertIsInstance(d['point'], Geometry)
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self.assertIsInstance(t[1], Geometry)
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self.assertEqual(m.point, d['point'])
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self.assertEqual(m.point, t[1])
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@override_settings(USE_TZ=True)
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def test_07b_values(self):
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"Testing values() and values_list() with aware datetime. See #21565."
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Event.objects.create(name="foo", when=timezone.now())
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list(Event.objects.values_list('when'))
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def test08_defer_only(self):
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"Testing defer() and only() on Geographic models."
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qs = Location.objects.all()
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def_qs = Location.objects.defer('point')
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for loc, def_loc in zip(qs, def_qs):
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self.assertEqual(loc.point, def_loc.point)
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def test09_pk_relations(self):
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"Ensuring correct primary key column is selected across relations. See #10757."
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# The expected ID values -- notice the last two location IDs
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# are out of order. Dallas and Houston have location IDs that differ
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# from their PKs -- this is done to ensure that the related location
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# ID column is selected instead of ID column for the city.
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city_ids = (1, 2, 3, 4, 5)
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loc_ids = (1, 2, 3, 5, 4)
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ids_qs = City.objects.order_by('id').values('id', 'location__id')
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for val_dict, c_id, l_id in zip(ids_qs, city_ids, loc_ids):
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self.assertEqual(val_dict['id'], c_id)
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self.assertEqual(val_dict['location__id'], l_id)
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# TODO: fix on Oracle -- qs2 returns an empty result for an unknown reason
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@no_oracle
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def test10_combine(self):
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"Testing the combination of two QuerySets (#10807)."
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buf1 = City.objects.get(name='Aurora').location.point.buffer(0.1)
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buf2 = City.objects.get(name='Kecksburg').location.point.buffer(0.1)
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qs1 = City.objects.filter(location__point__within=buf1)
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qs2 = City.objects.filter(location__point__within=buf2)
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combined = qs1 | qs2
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names = [c.name for c in combined]
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self.assertEqual(2, len(names))
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self.assertIn('Aurora', names)
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self.assertIn('Kecksburg', names)
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# TODO: fix on Oracle -- get the following error because the SQL is ordered
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# by a geometry object, which Oracle apparently doesn't like:
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# ORA-22901: cannot compare nested table or VARRAY or LOB attributes of an object type
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@no_oracle
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def test12a_count(self):
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"Testing `Count` aggregate on geo-fields."
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# The City, 'Fort Worth' uses the same location as Dallas.
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dallas = City.objects.get(name='Dallas')
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# Count annotation should be 2 for the Dallas location now.
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loc = Location.objects.annotate(num_cities=Count('city')).get(id=dallas.location.id)
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self.assertEqual(2, loc.num_cities)
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def test12b_count(self):
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"Testing `Count` aggregate on non geo-fields."
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# Should only be one author (Trevor Paglen) returned by this query, and
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# the annotation should have 3 for the number of books, see #11087.
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# Also testing with a values(), see #11489.
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qs = Author.objects.annotate(num_books=Count('books')).filter(num_books__gt=1)
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vqs = Author.objects.values('name').annotate(num_books=Count('books')).filter(num_books__gt=1)
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self.assertEqual(1, len(qs))
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self.assertEqual(3, qs[0].num_books)
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self.assertEqual(1, len(vqs))
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self.assertEqual(3, vqs[0]['num_books'])
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# TODO: fix on Oracle -- get the following error because the SQL is ordered
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# by a geometry object, which Oracle apparently doesn't like:
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# ORA-22901: cannot compare nested table or VARRAY or LOB attributes of an object type
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@no_oracle
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def test13c_count(self):
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"Testing `Count` aggregate with `.values()`. See #15305."
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qs = Location.objects.filter(id=5).annotate(num_cities=Count('city')).values('id', 'point', 'num_cities')
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self.assertEqual(1, len(qs))
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self.assertEqual(2, qs[0]['num_cities'])
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self.assertIsInstance(qs[0]['point'], GEOSGeometry)
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# TODO: The phantom model does appear on Oracle.
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@no_oracle
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def test13_select_related_null_fk(self):
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"Testing `select_related` on a nullable ForeignKey."
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Book.objects.create(title='Without Author')
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b = Book.objects.select_related('author').get(title='Without Author')
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# Should be `None`, and not a 'dummy' model.
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self.assertIsNone(b.author)
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@skipUnlessDBFeature("supports_collect_aggr")
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def test_collect(self):
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"""
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Testing the `Collect` aggregate.
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"""
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# Reference query:
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# SELECT AsText(ST_Collect("relatedapp_location"."point")) FROM "relatedapp_city" LEFT OUTER JOIN
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# "relatedapp_location" ON ("relatedapp_city"."location_id" = "relatedapp_location"."id")
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# WHERE "relatedapp_city"."state" = 'TX';
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ref_geom = GEOSGeometry(
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'MULTIPOINT(-97.516111 33.058333,-96.801611 32.782057,'
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'-95.363151 29.763374,-96.801611 32.782057)'
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)
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coll = City.objects.filter(state='TX').aggregate(Collect('location__point'))['location__point__collect']
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# Even though Dallas and Ft. Worth share same point, Collect doesn't
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# consolidate -- that's why 4 points in MultiPoint.
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self.assertEqual(4, len(coll))
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self.assertTrue(ref_geom.equals(coll))
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def test15_invalid_select_related(self):
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"Testing doing select_related on the related name manager of a unique FK. See #13934."
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qs = Article.objects.select_related('author__article')
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# This triggers TypeError when `get_default_columns` has no `local_only`
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# keyword. The TypeError is swallowed if QuerySet is actually
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# evaluated as list generation swallows TypeError in CPython.
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str(qs.query)
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def test16_annotated_date_queryset(self):
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"Ensure annotated date querysets work if spatial backend is used. See #14648."
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birth_years = [dt.year for dt in
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list(Author.objects.annotate(num_books=Count('books')).dates('dob', 'year'))]
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birth_years.sort()
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self.assertEqual([1950, 1974], birth_years)
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# TODO: Related tests for KML, GML, and distance lookups.
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