329 lines
14 KiB
Python
329 lines
14 KiB
Python
from django.contrib.gis.db.models import Collect, Count, Extent, F, Union
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from django.contrib.gis.geos import GEOSGeometry, MultiPoint, Point
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from django.db import NotSupportedError, 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 .models import Article, Author, Book, City, DirectoryEntry, Event, Location, Parcel
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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.assertAlmostEqual(lon, c.location.point.x, 6)
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self.assertAlmostEqual(lat, c.location.point.y, 6)
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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"))[
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"location__point__extent"
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]
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e2 = City.objects.exclude(state="NM").aggregate(Extent("location__point"))[
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"location__point__extent"
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]
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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(
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points_extent=Extent("location__point")
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).order_by("name")
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tol = 4
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self.assertAlmostEqual(
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cities[0].points_extent, (-97.516111, 33.058333, -97.516111, 33.058333), 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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"""
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select_related on a query over a model with an FK to a model subclass.
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"""
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# Regression test for #9752.
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list(DirectoryEntry.objects.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(
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name="P1", city=pcity, center1=c1, center2=c2, border1=b1, border2=b2
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)
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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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b2 = (
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b1
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if connection.features.supports_transform
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else b1.transform(2276, clone=True)
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)
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Parcel.objects.create(
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name="P2", city=pcity, center1=c1, center2=c2, border1=b1, border2=b2
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)
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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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# This time center2 is in a different coordinate system and needs to be
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# wrapped in transformation SQL.
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qs = Parcel.objects.filter(center2__within=F("border1"))
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if connection.features.supports_transform:
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self.assertEqual("P2", qs.get().name)
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else:
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msg = "This backend doesn't support the Transform function."
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with self.assertRaisesMessage(NotSupportedError, msg):
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list(qs)
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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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# 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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if connection.features.supports_transform:
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self.assertEqual("P1", qs.get().name)
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else:
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msg = "This backend doesn't support the Transform function."
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with self.assertRaisesMessage(NotSupportedError, msg):
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list(qs)
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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"], GEOSGeometry)
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self.assertIsInstance(t[1], GEOSGeometry)
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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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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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@skipUnlessDBFeature("allows_group_by_lob")
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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(
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id=dallas.location.id
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)
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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 = (
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Author.objects.values("name")
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.annotate(num_books=Count("books"))
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.filter(num_books__gt=1)
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)
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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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@skipUnlessDBFeature("allows_group_by_lob")
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def test13c_count(self):
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"Testing `Count` aggregate with `.values()`. See #15305."
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qs = (
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Location.objects.filter(id=5)
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.annotate(num_cities=Count("city"))
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.values("id", "point", "num_cities")
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)
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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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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"))
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# FROM "relatedapp_city"
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# LEFT OUTER JOIN
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# "relatedapp_location" ON (
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# "relatedapp_city"."location_id" = "relatedapp_location"."id"
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# )
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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"))[
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"location__point__collect"
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]
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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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"""
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select_related on the related name manager of a unique FK.
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"""
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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 = [
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dt.year
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for dt in list(
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Author.objects.annotate(num_books=Count("books")).dates("dob", "year")
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)
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]
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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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