285 lines
14 KiB
Python
285 lines
14 KiB
Python
from django.test import TestCase
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from django.contrib.gis.geos import GEOSGeometry, Point, MultiPoint
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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.tests.utils import mysql, oracle, no_mysql, no_oracle, no_spatialite
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from models import City, Location, DirectoryEntry, Parcel, Book, Author, Article
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class RelatedGeoModelTest(TestCase):
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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.all()
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qs2 = City.objects.select_related()
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qs3 = City.objects.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), c.location.point)
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@no_mysql
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def test03_transform_related(self):
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"Testing the `transform` GeoQuerySet method on related geographic models."
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# All the transformations are to state plane coordinate systems using
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# US Survey Feet (thus a tolerance of 0 implies error w/in 1 survey foot).
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tol = 0
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def check_pnt(ref, pnt):
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self.assertAlmostEqual(ref.x, pnt.x, tol)
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self.assertAlmostEqual(ref.y, pnt.y, tol)
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self.assertEqual(ref.srid, pnt.srid)
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# Each city transformed to the SRID of their state plane coordinate system.
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transformed = (('Kecksburg', 2272, 'POINT(1490553.98959621 314792.131023984)'),
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('Roswell', 2257, 'POINT(481902.189077221 868477.766629735)'),
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('Aurora', 2276, 'POINT(2269923.2484839 7069381.28722222)'),
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)
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for name, srid, wkt in transformed:
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# Doing this implicitly sets `select_related` select the location.
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# TODO: Fix why this breaks on Oracle.
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qs = list(City.objects.filter(name=name).transform(srid, field_name='location__point'))
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check_pnt(GEOSGeometry(wkt, srid), qs[0].location.point)
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@no_mysql
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@no_spatialite
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def test04a_related_extent_aggregate(self):
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"Testing the `extent` GeoQuerySet aggregates 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.extent(field_name='location__point')
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e2 = City.objects.exclude(state='NM').extent(field_name='location__point')
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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): self.assertAlmostEqual(ref_val, e_val, tol)
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@no_mysql
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def test04b_related_union_aggregate(self):
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"Testing the `unionagg` GeoQuerySet aggregates 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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# Creating the reference union geometry depending on the spatial backend,
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# as Oracle will have a different internal ordering of the component
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# geometries than PostGIS. 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 `.unionagg()`).
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if oracle:
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ref_u1 = MultiPoint(p4, p5, p3, p1, p2, srid=4326)
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ref_u2 = MultiPoint(p3, p2, srid=4326)
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else:
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# Looks like PostGIS points by longitude value.
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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.unionagg(field_name='location__point')
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u2 = City.objects.exclude(name__in=('Roswell', 'Houston', 'Dallas', 'Fort Worth')).unionagg(field_name='location__point')
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u3 = aggs['location__point__union']
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self.assertEqual(ref_u1, u1)
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self.assertEqual(ref_u2, u2)
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self.assertEqual(ref_u1, 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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l = 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('POLYGON((-97.501205 33.052520,-97.501205 33.052576,-97.501150 33.052576,-97.501150 33.052520,-97.501205 33.052520))', srid=4326)
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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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p1 = 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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# the 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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p2 = 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 not mysql:
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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 not mysql:
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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() and GeoQuerySets."
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# GeoQuerySet and GeoValuesQuerySet, and GeoValuesListQuerySet respectively.
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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 the different types of GeoQuerySets.
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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.failUnless(isinstance(d['point'], Geometry))
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self.failUnless(isinstance(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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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 GeoQuerySets. See #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.failUnless('Aurora' in names)
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self.failUnless('Kecksburg' in names)
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def test11_geoquery_pickle(self):
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"Ensuring GeoQuery objects are unpickled correctly. See #10839."
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import pickle
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from django.contrib.gis.db.models.sql import GeoQuery
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qs = City.objects.all()
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q_str = pickle.dumps(qs.query)
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q = pickle.loads(q_str)
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self.assertEqual(GeoQuery, q.__class__)
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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 use with the `GeoManager` 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 use with the `GeoManager` on non geo-fields. See #11087."
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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 `GeoValuesQuerySet`, 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: 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 via `GeoManager`. See #11381."
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no_author = 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.assertEqual(None, b.author)
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@no_mysql
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@no_oracle
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@no_spatialite
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def test14_collect(self):
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"Testing the `collect` GeoQuerySet method and `Collect` aggregate."
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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('MULTIPOINT(-97.516111 33.058333,-96.801611 32.782057,-95.363151 29.763374,-96.801611 32.782057)')
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c1 = City.objects.filter(state='TX').collect(field_name='location__point')
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c2 = City.objects.filter(state='TX').aggregate(Collect('location__point'))['location__point__collect']
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for coll in (c1, c2):
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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.assertEqual(ref_geom, 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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sql = str(qs.query)
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# TODO: Related tests for KML, GML, and distance lookups.
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