--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/web/lib/django/contrib/gis/tests/relatedapp/tests.py Wed Jan 20 00:34:04 2010 +0100
@@ -0,0 +1,301 @@
+import os, unittest
+from django.contrib.gis.geos import *
+from django.contrib.gis.db.backend import SpatialBackend
+from django.contrib.gis.db.models import Collect, Count, Extent, F, Union
+from django.contrib.gis.tests.utils import no_mysql, no_oracle, no_spatialite
+from django.conf import settings
+from models import City, Location, DirectoryEntry, Parcel, Book, Author
+
+cities = (('Aurora', 'TX', -97.516111, 33.058333),
+ ('Roswell', 'NM', -104.528056, 33.387222),
+ ('Kecksburg', 'PA', -79.460734, 40.18476),
+ )
+
+class RelatedGeoModelTest(unittest.TestCase):
+
+ def test01_setup(self):
+ "Setting up for related model tests."
+ for name, state, lon, lat in cities:
+ loc = Location.objects.create(point=Point(lon, lat))
+ c = City.objects.create(name=name, state=state, location=loc)
+
+ @no_oracle # TODO: Fix select_related() problems w/Oracle and pagination.
+ def test02_select_related(self):
+ "Testing `select_related` on geographic models (see #7126)."
+ qs1 = City.objects.all()
+ qs2 = City.objects.select_related()
+ qs3 = City.objects.select_related('location')
+
+ for qs in (qs1, qs2, qs3):
+ for ref, c in zip(cities, qs):
+ nm, st, lon, lat = ref
+ self.assertEqual(nm, c.name)
+ self.assertEqual(st, c.state)
+ self.assertEqual(Point(lon, lat), c.location.point)
+
+ @no_mysql
+ @no_oracle # Pagination problem is implicated in this test as well.
+ def test03_transform_related(self):
+ "Testing the `transform` GeoQuerySet method on related geographic models."
+ # All the transformations are to state plane coordinate systems using
+ # US Survey Feet (thus a tolerance of 0 implies error w/in 1 survey foot).
+ tol = 0
+
+ def check_pnt(ref, pnt):
+ self.assertAlmostEqual(ref.x, pnt.x, tol)
+ self.assertAlmostEqual(ref.y, pnt.y, tol)
+ self.assertEqual(ref.srid, pnt.srid)
+
+ # Each city transformed to the SRID of their state plane coordinate system.
+ transformed = (('Kecksburg', 2272, 'POINT(1490553.98959621 314792.131023984)'),
+ ('Roswell', 2257, 'POINT(481902.189077221 868477.766629735)'),
+ ('Aurora', 2276, 'POINT(2269923.2484839 7069381.28722222)'),
+ )
+
+ for name, srid, wkt in transformed:
+ # Doing this implicitly sets `select_related` select the location.
+ # TODO: Fix why this breaks on Oracle.
+ qs = list(City.objects.filter(name=name).transform(srid, field_name='location__point'))
+ check_pnt(GEOSGeometry(wkt, srid), qs[0].location.point)
+
+ @no_mysql
+ @no_spatialite
+ def test04a_related_extent_aggregate(self):
+ "Testing the `extent` GeoQuerySet aggregates on related geographic models."
+ # This combines the Extent and Union aggregates into one query
+ aggs = City.objects.aggregate(Extent('location__point'))
+
+ # One for all locations, one that excludes Roswell.
+ all_extent = (-104.528060913086, 33.0583305358887,-79.4607315063477, 40.1847610473633)
+ txpa_extent = (-97.51611328125, 33.0583305358887,-79.4607315063477, 40.1847610473633)
+ e1 = City.objects.extent(field_name='location__point')
+ e2 = City.objects.exclude(name='Roswell').extent(field_name='location__point')
+ e3 = aggs['location__point__extent']
+
+ # The tolerance value is to four decimal places because of differences
+ # between the Oracle and PostGIS spatial backends on the extent calculation.
+ tol = 4
+ for ref, e in [(all_extent, e1), (txpa_extent, e2), (all_extent, e3)]:
+ for ref_val, e_val in zip(ref, e): self.assertAlmostEqual(ref_val, e_val, tol)
+
+ @no_mysql
+ def test04b_related_union_aggregate(self):
+ "Testing the `unionagg` GeoQuerySet aggregates on related geographic models."
+ # This combines the Extent and Union aggregates into one query
+ aggs = City.objects.aggregate(Union('location__point'))
+
+ # These are the points that are components of the aggregate geographic
+ # union that is returned.
+ p1 = Point(-104.528056, 33.387222)
+ p2 = Point(-97.516111, 33.058333)
+ p3 = Point(-79.460734, 40.18476)
+
+ # Creating the reference union geometry depending on the spatial backend,
+ # as Oracle will have a different internal ordering of the component
+ # geometries than PostGIS. The second union aggregate is for a union
+ # query that includes limiting information in the WHERE clause (in other
+ # words a `.filter()` precedes the call to `.unionagg()`).
+ if SpatialBackend.oracle:
+ ref_u1 = MultiPoint(p3, p1, p2, srid=4326)
+ ref_u2 = MultiPoint(p3, p2, srid=4326)
+ else:
+ ref_u1 = MultiPoint(p1, p2, p3, srid=4326)
+ ref_u2 = MultiPoint(p2, p3, srid=4326)
+
+ u1 = City.objects.unionagg(field_name='location__point')
+ u2 = City.objects.exclude(name='Roswell').unionagg(field_name='location__point')
+ u3 = aggs['location__point__union']
+
+ self.assertEqual(ref_u1, u1)
+ self.assertEqual(ref_u2, u2)
+ self.assertEqual(ref_u1, u3)
+
+ def test05_select_related_fk_to_subclass(self):
+ "Testing that calling select_related on a query over a model with an FK to a model subclass works"
+ # Regression test for #9752.
+ l = list(DirectoryEntry.objects.all().select_related())
+
+ def test06_f_expressions(self):
+ "Testing F() expressions on GeometryFields."
+ # Constructing a dummy parcel border and getting the City instance for
+ # assigning the FK.
+ 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)
+ pcity = City.objects.get(name='Aurora')
+
+ # First parcel has incorrect center point that is equal to the City;
+ # it also has a second border that is different from the first as a
+ # 100ft buffer around the City.
+ c1 = pcity.location.point
+ c2 = c1.transform(2276, clone=True)
+ b2 = c2.buffer(100)
+ p1 = Parcel.objects.create(name='P1', city=pcity, center1=c1, center2=c2, border1=b1, border2=b2)
+
+ # Now creating a second Parcel where the borders are the same, just
+ # in different coordinate systems. The center points are also the
+ # the same (but in different coordinate systems), and this time they
+ # actually correspond to the centroid of the border.
+ c1 = b1.centroid
+ c2 = c1.transform(2276, clone=True)
+ p2 = Parcel.objects.create(name='P2', city=pcity, center1=c1, center2=c2, border1=b1, border2=b1)
+
+ # Should return the second Parcel, which has the center within the
+ # border.
+ qs = Parcel.objects.filter(center1__within=F('border1'))
+ self.assertEqual(1, len(qs))
+ self.assertEqual('P2', qs[0].name)
+
+ if not SpatialBackend.mysql:
+ # This time center2 is in a different coordinate system and needs
+ # to be wrapped in transformation SQL.
+ qs = Parcel.objects.filter(center2__within=F('border1'))
+ self.assertEqual(1, len(qs))
+ self.assertEqual('P2', qs[0].name)
+
+ # Should return the first Parcel, which has the center point equal
+ # to the point in the City ForeignKey.
+ qs = Parcel.objects.filter(center1=F('city__location__point'))
+ self.assertEqual(1, len(qs))
+ self.assertEqual('P1', qs[0].name)
+
+ if not SpatialBackend.mysql:
+ # This time the city column should be wrapped in transformation SQL.
+ qs = Parcel.objects.filter(border2__contains=F('city__location__point'))
+ self.assertEqual(1, len(qs))
+ self.assertEqual('P1', qs[0].name)
+
+ def test07_values(self):
+ "Testing values() and values_list() and GeoQuerySets."
+ # GeoQuerySet and GeoValuesQuerySet, and GeoValuesListQuerySet respectively.
+ gqs = Location.objects.all()
+ gvqs = Location.objects.values()
+ gvlqs = Location.objects.values_list()
+
+ # Incrementing through each of the models, dictionaries, and tuples
+ # returned by the different types of GeoQuerySets.
+ for m, d, t in zip(gqs, gvqs, gvlqs):
+ # The values should be Geometry objects and not raw strings returned
+ # by the spatial database.
+ self.failUnless(isinstance(d['point'], SpatialBackend.Geometry))
+ self.failUnless(isinstance(t[1], SpatialBackend.Geometry))
+ self.assertEqual(m.point, d['point'])
+ self.assertEqual(m.point, t[1])
+
+ def test08_defer_only(self):
+ "Testing defer() and only() on Geographic models."
+ qs = Location.objects.all()
+ def_qs = Location.objects.defer('point')
+ for loc, def_loc in zip(qs, def_qs):
+ self.assertEqual(loc.point, def_loc.point)
+
+ def test09_pk_relations(self):
+ "Ensuring correct primary key column is selected across relations. See #10757."
+ # Adding two more cities, but this time making sure that their location
+ # ID values do not match their City ID values.
+ loc1 = Location.objects.create(point='POINT (-95.363151 29.763374)')
+ loc2 = Location.objects.create(point='POINT (-96.801611 32.782057)')
+ dallas = City.objects.create(name='Dallas', state='TX', location=loc2)
+ houston = City.objects.create(name='Houston', state='TX', location=loc1)
+
+ # The expected ID values -- notice the last two location IDs
+ # are out of order. We want to make sure that the related
+ # location ID column is selected instead of ID column for
+ # the city.
+ city_ids = (1, 2, 3, 4, 5)
+ loc_ids = (1, 2, 3, 5, 4)
+ ids_qs = City.objects.order_by('id').values('id', 'location__id')
+ for val_dict, c_id, l_id in zip(ids_qs, city_ids, loc_ids):
+ self.assertEqual(val_dict['id'], c_id)
+ self.assertEqual(val_dict['location__id'], l_id)
+
+ def test10_combine(self):
+ "Testing the combination of two GeoQuerySets. See #10807."
+ buf1 = City.objects.get(name='Aurora').location.point.buffer(0.1)
+ buf2 = City.objects.get(name='Kecksburg').location.point.buffer(0.1)
+ qs1 = City.objects.filter(location__point__within=buf1)
+ qs2 = City.objects.filter(location__point__within=buf2)
+ combined = qs1 | qs2
+ names = [c.name for c in combined]
+ self.assertEqual(2, len(names))
+ self.failUnless('Aurora' in names)
+ self.failUnless('Kecksburg' in names)
+
+ def test11_geoquery_pickle(self):
+ "Ensuring GeoQuery objects are unpickled correctly. See #10839."
+ import pickle
+ from django.contrib.gis.db.models.sql import GeoQuery
+ qs = City.objects.all()
+ q_str = pickle.dumps(qs.query)
+ q = pickle.loads(q_str)
+ self.assertEqual(GeoQuery, q.__class__)
+
+ # TODO: fix on Oracle -- get the following error because the SQL is ordered
+ # by a geometry object, which Oracle apparently doesn't like:
+ # ORA-22901: cannot compare nested table or VARRAY or LOB attributes of an object type
+ @no_oracle
+ def test12a_count(self):
+ "Testing `Count` aggregate use with the `GeoManager` on geo-fields."
+ # Creating a new City, 'Fort Worth', that uses the same location
+ # as Dallas.
+ dallas = City.objects.get(name='Dallas')
+ ftworth = City.objects.create(name='Fort Worth', state='TX', location=dallas.location)
+
+ # Count annotation should be 2 for the Dallas location now.
+ loc = Location.objects.annotate(num_cities=Count('city')).get(id=dallas.location.id)
+ self.assertEqual(2, loc.num_cities)
+
+ def test12b_count(self):
+ "Testing `Count` aggregate use with the `GeoManager` on non geo-fields. See #11087."
+ # Creating some data for the Book/Author non-geo models that
+ # use GeoManager. See #11087.
+ tp = Author.objects.create(name='Trevor Paglen')
+ Book.objects.create(title='Torture Taxi', author=tp)
+ Book.objects.create(title='I Could Tell You But Then You Would Have to be Destroyed by Me', author=tp)
+ Book.objects.create(title='Blank Spots on the Map', author=tp)
+ wp = Author.objects.create(name='William Patry')
+ Book.objects.create(title='Patry on Copyright', author=wp)
+
+ # Should only be one author (Trevor Paglen) returned by this query, and
+ # the annotation should have 3 for the number of books. Also testing
+ # with a `GeoValuesQuerySet` (see #11489).
+ qs = Author.objects.annotate(num_books=Count('books')).filter(num_books__gt=1)
+ vqs = Author.objects.values('name').annotate(num_books=Count('books')).filter(num_books__gt=1)
+ self.assertEqual(1, len(qs))
+ self.assertEqual(3, qs[0].num_books)
+ self.assertEqual(1, len(vqs))
+ self.assertEqual(3, vqs[0]['num_books'])
+
+ # TODO: The phantom model does appear on Oracle.
+ @no_oracle
+ def test13_select_related_null_fk(self):
+ "Testing `select_related` on a nullable ForeignKey via `GeoManager`. See #11381."
+ no_author = Book.objects.create(title='Without Author')
+ b = Book.objects.select_related('author').get(title='Without Author')
+ # Should be `None`, and not a 'dummy' model.
+ self.assertEqual(None, b.author)
+
+ @no_mysql
+ @no_oracle
+ @no_spatialite
+ def test14_collect(self):
+ "Testing the `collect` GeoQuerySet method and `Collect` aggregate."
+ # Reference query:
+ # SELECT AsText(ST_Collect("relatedapp_location"."point")) FROM "relatedapp_city" LEFT OUTER JOIN
+ # "relatedapp_location" ON ("relatedapp_city"."location_id" = "relatedapp_location"."id")
+ # WHERE "relatedapp_city"."state" = 'TX';
+ ref_geom = fromstr('MULTIPOINT(-97.516111 33.058333,-96.801611 32.782057,-95.363151 29.763374,-96.801611 32.782057)')
+
+ c1 = City.objects.filter(state='TX').collect(field_name='location__point')
+ c2 = City.objects.filter(state='TX').aggregate(Collect('location__point'))['location__point__collect']
+
+ for coll in (c1, c2):
+ # Even though Dallas and Ft. Worth share same point, Collect doesn't
+ # consolidate -- that's why 4 points in MultiPoint.
+ self.assertEqual(4, len(coll))
+ self.assertEqual(ref_geom, coll)
+
+ # TODO: Related tests for KML, GML, and distance lookups.
+
+def suite():
+ s = unittest.TestSuite()
+ s.addTest(unittest.makeSuite(RelatedGeoModelTest))
+ return s