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Diffstat (limited to 'lib/python2.7/site-packages/django/contrib/gis/tests/relatedapp/tests.py')
| -rw-r--r-- | lib/python2.7/site-packages/django/contrib/gis/tests/relatedapp/tests.py | 305 |
1 files changed, 0 insertions, 305 deletions
diff --git a/lib/python2.7/site-packages/django/contrib/gis/tests/relatedapp/tests.py b/lib/python2.7/site-packages/django/contrib/gis/tests/relatedapp/tests.py deleted file mode 100644 index d93adbc..0000000 --- a/lib/python2.7/site-packages/django/contrib/gis/tests/relatedapp/tests.py +++ /dev/null @@ -1,305 +0,0 @@ -from __future__ import absolute_import - -from django.contrib.gis.geos import HAS_GEOS -from django.contrib.gis.tests.utils import HAS_SPATIAL_DB, mysql, oracle, no_mysql, no_oracle, no_spatialite -from django.test import TestCase -from django.utils.unittest import skipUnless - -if HAS_GEOS: - from django.contrib.gis.db.models import Collect, Count, Extent, F, Union - from django.contrib.gis.geometry.backend import Geometry - from django.contrib.gis.geos import GEOSGeometry, Point, MultiPoint - - from .models import City, Location, DirectoryEntry, Parcel, Book, Author, Article - - -@skipUnless(HAS_GEOS and HAS_SPATIAL_DB, "Geos and spatial db are required.") -class RelatedGeoModelTest(TestCase): - - 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') - - # Reference data for what's in the fixtures. - cities = ( - ('Aurora', 'TX', -97.516111, 33.058333), - ('Roswell', 'NM', -104.528056, 33.387222), - ('Kecksburg', 'PA', -79.460734, 40.18476), - ) - - 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 - 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 New Mexico (Roswell). - all_extent = (-104.528056, 29.763374, -79.460734, 40.18476) - txpa_extent = (-97.516111, 29.763374, -79.460734, 40.18476) - e1 = City.objects.extent(field_name='location__point') - e2 = City.objects.exclude(state='NM').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. Each point # corresponds to City PK. - p1 = Point(-104.528056, 33.387222) - p2 = Point(-97.516111, 33.058333) - p3 = Point(-79.460734, 40.18476) - p4 = Point(-96.801611, 32.782057) - p5 = Point(-95.363151, 29.763374) - - # 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 oracle: - ref_u1 = MultiPoint(p4, p5, p3, p1, p2, srid=4326) - ref_u2 = MultiPoint(p3, p2, srid=4326) - else: - # Looks like PostGIS points by longitude value. - ref_u1 = MultiPoint(p1, p2, p4, p5, p3, srid=4326) - ref_u2 = MultiPoint(p2, p3, srid=4326) - - u1 = City.objects.unionagg(field_name='location__point') - u2 = City.objects.exclude(name__in=('Roswell', 'Houston', 'Dallas', 'Fort Worth')).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 - # 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 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 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.assertTrue(isinstance(d['point'], Geometry)) - self.assertTrue(isinstance(t[1], 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." - # The expected ID values -- notice the last two location IDs - # are out of order. Dallas and Houston have location IDs that differ - # from their PKs -- this is done to ensure 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.assertTrue('Aurora' in names) - self.assertTrue('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." - # The City, 'Fort Worth' uses the same location as Dallas. - dallas = City.objects.get(name='Dallas') - - # 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." - # Should only be one author (Trevor Paglen) returned by this query, and - # the annotation should have 3 for the number of books, see #11087. - # 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']) - - def test13c_count(self): - "Testing `Count` aggregate with `.values()`. See #15305." - qs = Location.objects.filter(id=5).annotate(num_cities=Count('city')).values('id', 'point', 'num_cities') - self.assertEqual(1, len(qs)) - self.assertEqual(2, qs[0]['num_cities']) - self.assertTrue(isinstance(qs[0]['point'], GEOSGeometry)) - - # 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 = GEOSGeometry('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) - - def test15_invalid_select_related(self): - "Testing doing select_related on the related name manager of a unique FK. See #13934." - qs = Article.objects.select_related('author__article') - # This triggers TypeError when `get_default_columns` has no `local_only` - # keyword. The TypeError is swallowed if QuerySet is actually - # evaluated as list generation swallows TypeError in CPython. - sql = str(qs.query) - - def test16_annotated_date_queryset(self): - "Ensure annotated date querysets work if spatial backend is used. See #14648." - birth_years = [dt.year for dt in - list(Author.objects.annotate(num_books=Count('books')).dates('dob', 'year'))] - birth_years.sort() - self.assertEqual([1950, 1974], birth_years) - - # TODO: Related tests for KML, GML, and distance lookups. |