1 import os, unittest

     2 from django.contrib.gis.geos import *

     3 from django.contrib.gis.db.models import Collect, Count, Extent, F, Union

     4 from django.contrib.gis.geometry.backend import Geometry

     5 from django.contrib.gis.tests.utils import mysql, oracle, postgis, spatialite, no_mysql, no_oracle, no_spatialite

     6 from django.conf import settings

     7 from models import City, Location, DirectoryEntry, Parcel, Book, Author

     8 

     9 cities = (('Aurora', 'TX', -97.516111, 33.058333),

    10           ('Roswell', 'NM', -104.528056, 33.387222),

    11           ('Kecksburg', 'PA',  -79.460734, 40.18476),

    12            )

    13 

    14 class RelatedGeoModelTest(unittest.TestCase):

    15 

    16     def test01_setup(self):

    17         "Setting up for related model tests."

    18         for name, state, lon, lat in cities:

    19             loc = Location.objects.create(point=Point(lon, lat))

    20             c = City.objects.create(name=name, state=state, location=loc)

    21 

    22     def test02_select_related(self):

    23         "Testing `select_related` on geographic models (see #7126)."

    24         qs1 = City.objects.all()

    25         qs2 = City.objects.select_related()

    26         qs3 = City.objects.select_related('location')

    27 

    28         for qs in (qs1, qs2, qs3):

    29             for ref, c in zip(cities, qs):

    30                 nm, st, lon, lat = ref

    31                 self.assertEqual(nm, c.name)

    32                 self.assertEqual(st, c.state)

    33                 self.assertEqual(Point(lon, lat), c.location.point)

    34 

    35     @no_mysql

    36     def test03_transform_related(self):

    37         "Testing the `transform` GeoQuerySet method on related geographic models."

    38         # All the transformations are to state plane coordinate systems using

    39         # US Survey Feet (thus a tolerance of 0 implies error w/in 1 survey foot).

    40         tol = 0

    41 

    42         def check_pnt(ref, pnt):

    43             self.assertAlmostEqual(ref.x, pnt.x, tol)

    44             self.assertAlmostEqual(ref.y, pnt.y, tol)

    45             self.assertEqual(ref.srid, pnt.srid)

    46 

    47         # Each city transformed to the SRID of their state plane coordinate system.

    48         transformed = (('Kecksburg', 2272, 'POINT(1490553.98959621 314792.131023984)'),

    49                        ('Roswell', 2257, 'POINT(481902.189077221 868477.766629735)'),

    50                        ('Aurora', 2276, 'POINT(2269923.2484839 7069381.28722222)'),

    51                        )

    52 

    53         for name, srid, wkt in transformed:

    54             # Doing this implicitly sets `select_related` select the location.

    55             # TODO: Fix why this breaks on Oracle.

    56             qs = list(City.objects.filter(name=name).transform(srid, field_name='location__point'))

    57             check_pnt(GEOSGeometry(wkt, srid), qs[0].location.point)

    58 

    59     @no_mysql

    60     @no_spatialite

    61     def test04a_related_extent_aggregate(self):

    62         "Testing the `extent` GeoQuerySet aggregates on related geographic models."

    63         # This combines the Extent and Union aggregates into one query

    64         aggs = City.objects.aggregate(Extent('location__point'))

    65 

    66         # One for all locations, one that excludes Roswell.

    67         all_extent = (-104.528060913086, 33.0583305358887,-79.4607315063477, 40.1847610473633)

    68         txpa_extent = (-97.51611328125, 33.0583305358887,-79.4607315063477, 40.1847610473633)

    69         e1 = City.objects.extent(field_name='location__point')

    70         e2 = City.objects.exclude(name='Roswell').extent(field_name='location__point')

    71         e3 = aggs['location__point__extent']

    72 

    73         # The tolerance value is to four decimal places because of differences

    74         # between the Oracle and PostGIS spatial backends on the extent calculation.

    75         tol = 4

    76         for ref, e in [(all_extent, e1), (txpa_extent, e2), (all_extent, e3)]:

    77             for ref_val, e_val in zip(ref, e): self.assertAlmostEqual(ref_val, e_val, tol)

    78 

    79     @no_mysql

    80     def test04b_related_union_aggregate(self):

    81         "Testing the `unionagg` GeoQuerySet aggregates on related geographic models."

    82         # This combines the Extent and Union aggregates into one query

    83         aggs = City.objects.aggregate(Union('location__point'))

    84 

    85         # These are the points that are components of the aggregate geographic

    86         # union that is returned.

    87         p1 = Point(-104.528056, 33.387222)

    88         p2 = Point(-97.516111, 33.058333)

    89         p3 = Point(-79.460734, 40.18476)

    90 

    91         # Creating the reference union geometry depending on the spatial backend,

    92         # as Oracle will have a different internal ordering of the component

    93         # geometries than PostGIS.  The second union aggregate is for a union

    94         # query that includes limiting information in the WHERE clause (in other

    95         # words a `.filter()` precedes the call to `.unionagg()`).

    96         if oracle:

    97             ref_u1 = MultiPoint(p3, p1, p2, srid=4326)

    98             ref_u2 = MultiPoint(p3, p2, srid=4326)

    99         else:

   100             ref_u1 = MultiPoint(p1, p2, p3, srid=4326)

   101             ref_u2 = MultiPoint(p2, p3, srid=4326)

   102 

   103         u1 = City.objects.unionagg(field_name='location__point')

   104         u2 = City.objects.exclude(name='Roswell').unionagg(field_name='location__point')

   105         u3 = aggs['location__point__union']

   106 

   107         self.assertEqual(ref_u1, u1)

   108         self.assertEqual(ref_u2, u2)

   109         self.assertEqual(ref_u1, u3)

   110 

   111     def test05_select_related_fk_to_subclass(self):

   112         "Testing that calling select_related on a query over a model with an FK to a model subclass works"

   113         # Regression test for #9752.

   114         l = list(DirectoryEntry.objects.all().select_related())

   115 

   116     def test06_f_expressions(self):

   117         "Testing F() expressions on GeometryFields."

   118         # Constructing a dummy parcel border and getting the City instance for

   119         # assigning the FK.

   120         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)

   121         pcity = City.objects.get(name='Aurora')

   122 

   123         # First parcel has incorrect center point that is equal to the City;

   124         # it also has a second border that is different from the first as a

   125         # 100ft buffer around the City.

   126         c1 = pcity.location.point

   127         c2 = c1.transform(2276, clone=True)

   128         b2 = c2.buffer(100)

   129         p1 = Parcel.objects.create(name='P1', city=pcity, center1=c1, center2=c2, border1=b1, border2=b2)

   130 

   131         # Now creating a second Parcel where the borders are the same, just

   132         # in different coordinate systems.  The center points are also the

   133         # the same (but in different coordinate systems), and this time they

   134         # actually correspond to the centroid of the border.

   135         c1 = b1.centroid

   136         c2 = c1.transform(2276, clone=True)

   137         p2 = Parcel.objects.create(name='P2', city=pcity, center1=c1, center2=c2, border1=b1, border2=b1)

   138 

   139         # Should return the second Parcel, which has the center within the

   140         # border.

   141         qs = Parcel.objects.filter(center1__within=F('border1'))

   142         self.assertEqual(1, len(qs))

   143         self.assertEqual('P2', qs[0].name)

   144 

   145         if not mysql:

   146             # This time center2 is in a different coordinate system and needs

   147             # to be wrapped in transformation SQL.

   148             qs = Parcel.objects.filter(center2__within=F('border1'))

   149             self.assertEqual(1, len(qs))

   150             self.assertEqual('P2', qs[0].name)

   151 

   152         # Should return the first Parcel, which has the center point equal

   153         # to the point in the City ForeignKey.

   154         qs = Parcel.objects.filter(center1=F('city__location__point'))

   155         self.assertEqual(1, len(qs))

   156         self.assertEqual('P1', qs[0].name)

   157 

   158         if not mysql:

   159             # This time the city column should be wrapped in transformation SQL.

   160             qs = Parcel.objects.filter(border2__contains=F('city__location__point'))

   161             self.assertEqual(1, len(qs))

   162             self.assertEqual('P1', qs[0].name)

   163 

   164     def test07_values(self):

   165         "Testing values() and values_list() and GeoQuerySets."

   166         # GeoQuerySet and GeoValuesQuerySet, and GeoValuesListQuerySet respectively.

   167         gqs = Location.objects.all()

   168         gvqs = Location.objects.values()

   169         gvlqs = Location.objects.values_list()

   170 

   171         # Incrementing through each of the models, dictionaries, and tuples

   172         # returned by the different types of GeoQuerySets.

   173         for m, d, t in zip(gqs, gvqs, gvlqs):

   174             # The values should be Geometry objects and not raw strings returned

   175             # by the spatial database.

   176             self.failUnless(isinstance(d['point'], Geometry))

   177             self.failUnless(isinstance(t[1], Geometry))

   178             self.assertEqual(m.point, d['point'])

   179             self.assertEqual(m.point, t[1])

   180 

   181     def test08_defer_only(self):

   182         "Testing defer() and only() on Geographic models."

   183         qs = Location.objects.all()

   184         def_qs = Location.objects.defer('point')

   185         for loc, def_loc in zip(qs, def_qs):

   186             self.assertEqual(loc.point, def_loc.point)

   187 

   188     def test09_pk_relations(self):

   189         "Ensuring correct primary key column is selected across relations. See #10757."

   190         # Adding two more cities, but this time making sure that their location

   191         # ID values do not match their City ID values.

   192         loc1 = Location.objects.create(point='POINT (-95.363151 29.763374)')

   193         loc2 = Location.objects.create(point='POINT (-96.801611 32.782057)')

   194         dallas = City.objects.create(name='Dallas', state='TX', location=loc2)

   195         houston = City.objects.create(name='Houston', state='TX', location=loc1)

   196 

   197         # The expected ID values -- notice the last two location IDs

   198         # are out of order.  We want to make sure that the related

   199         # location ID column is selected instead of ID column for

   200         # the city.

   201         city_ids = (1, 2, 3, 4, 5)

   202         loc_ids = (1, 2, 3, 5, 4)

   203         ids_qs = City.objects.order_by('id').values('id', 'location__id')

   204         for val_dict, c_id, l_id in zip(ids_qs, city_ids, loc_ids):

   205             self.assertEqual(val_dict['id'], c_id)

   206             self.assertEqual(val_dict['location__id'], l_id)

   207 

   208     def test10_combine(self):

   209         "Testing the combination of two GeoQuerySets.  See #10807."

   210         buf1 = City.objects.get(name='Aurora').location.point.buffer(0.1)

   211         buf2 = City.objects.get(name='Kecksburg').location.point.buffer(0.1)

   212         qs1 = City.objects.filter(location__point__within=buf1)

   213         qs2 = City.objects.filter(location__point__within=buf2)

   214         combined = qs1 | qs2

   215         names = [c.name for c in combined]

   216         self.assertEqual(2, len(names))

   217         self.failUnless('Aurora' in names)

   218         self.failUnless('Kecksburg' in names)

   219 

   220     def test11_geoquery_pickle(self):

   221         "Ensuring GeoQuery objects are unpickled correctly.  See #10839."

   222         import pickle

   223         from django.contrib.gis.db.models.sql import GeoQuery

   224         qs = City.objects.all()

   225         q_str = pickle.dumps(qs.query)

   226         q = pickle.loads(q_str)

   227         self.assertEqual(GeoQuery, q.__class__)

   228 

   229     # TODO: fix on Oracle -- get the following error because the SQL is ordered

   230     # by a geometry object, which Oracle apparently doesn't like:

   231     #  ORA-22901: cannot compare nested table or VARRAY or LOB attributes of an object type

   232     @no_oracle

   233     def test12a_count(self):

   234         "Testing `Count` aggregate use with the `GeoManager` on geo-fields."

   235         # Creating a new City, 'Fort Worth', that uses the same location

   236         # as Dallas.

   237         dallas = City.objects.get(name='Dallas')

   238         ftworth = City.objects.create(name='Fort Worth', state='TX', location=dallas.location)

   239 

   240         # Count annotation should be 2 for the Dallas location now.

   241         loc = Location.objects.annotate(num_cities=Count('city')).get(id=dallas.location.id)

   242         self.assertEqual(2, loc.num_cities)

   243 

   244     def test12b_count(self):

   245         "Testing `Count` aggregate use with the `GeoManager` on non geo-fields. See #11087."

   246         # Creating some data for the Book/Author non-geo models that

   247         # use GeoManager.  See #11087.

   248         tp = Author.objects.create(name='Trevor Paglen')

   249         Book.objects.create(title='Torture Taxi', author=tp)

   250         Book.objects.create(title='I Could Tell You But Then You Would Have to be Destroyed by Me', author=tp)

   251         Book.objects.create(title='Blank Spots on the Map', author=tp)

   252         wp = Author.objects.create(name='William Patry')

   253         Book.objects.create(title='Patry on Copyright', author=wp)

   254 

   255         # Should only be one author (Trevor Paglen) returned by this query, and

   256         # the annotation should have 3 for the number of books.  Also testing

   257         # with a `GeoValuesQuerySet` (see #11489).

   258         qs = Author.objects.annotate(num_books=Count('books')).filter(num_books__gt=1)

   259         vqs = Author.objects.values('name').annotate(num_books=Count('books')).filter(num_books__gt=1)

   260         self.assertEqual(1, len(qs))

   261         self.assertEqual(3, qs[0].num_books)

   262         self.assertEqual(1, len(vqs))

   263         self.assertEqual(3, vqs[0]['num_books'])

   264 

   265     # TODO: The phantom model does appear on Oracle.

   266     @no_oracle

   267     def test13_select_related_null_fk(self):

   268         "Testing `select_related` on a nullable ForeignKey via `GeoManager`. See #11381."

   269         no_author = Book.objects.create(title='Without Author')

   270         b = Book.objects.select_related('author').get(title='Without Author')

   271         # Should be `None`, and not a 'dummy' model.

   272         self.assertEqual(None, b.author)

   273 

   274     @no_mysql

   275     @no_oracle

   276     @no_spatialite

   277     def test14_collect(self):

   278         "Testing the `collect` GeoQuerySet method and `Collect` aggregate."

   279         # Reference query:

   280         # SELECT AsText(ST_Collect("relatedapp_location"."point")) FROM "relatedapp_city" LEFT OUTER JOIN

   281         #    "relatedapp_location" ON ("relatedapp_city"."location_id" = "relatedapp_location"."id")

   282         #    WHERE "relatedapp_city"."state" = 'TX';

   283         ref_geom = fromstr('MULTIPOINT(-97.516111 33.058333,-96.801611 32.782057,-95.363151 29.763374,-96.801611 32.782057)')

   284 

   285         c1 = City.objects.filter(state='TX').collect(field_name='location__point')

   286         c2 = City.objects.filter(state='TX').aggregate(Collect('location__point'))['location__point__collect']

   287 

   288         for coll in (c1, c2):

   289             # Even though Dallas and Ft. Worth share same point, Collect doesn't

   290             # consolidate -- that's why 4 points in MultiPoint.

   291             self.assertEqual(4, len(coll))

   292             self.assertEqual(ref_geom, coll)

   293 

   294     # TODO: Related tests for KML, GML, and distance lookups.

   295 

   296 def suite():

   297     s = unittest.TestSuite()

   298     s.addTest(unittest.makeSuite(RelatedGeoModelTest))

   299     return s