| import os, unittest |
| from decimal import Decimal |
| |
| from django.db.models import Q |
| from django.contrib.gis.gdal import DataSource |
| from django.contrib.gis.geos import GEOSGeometry, Point, LineString |
| from django.contrib.gis.measure import D # alias for Distance |
| from django.contrib.gis.db.models import GeoQ |
| from django.contrib.gis.tests.utils import oracle, postgis, no_oracle |
| |
| from models import AustraliaCity, Interstate, SouthTexasCity, SouthTexasCityFt, CensusZipcode, SouthTexasZipcode |
| from data import au_cities, interstates, stx_cities, stx_zips |
| |
| class DistanceTest(unittest.TestCase): |
| |
| # A point we are testing distances with -- using a WGS84 |
| # coordinate that'll be implicitly transormed to that to |
| # the coordinate system of the field, EPSG:32140 (Texas South Central |
| # w/units in meters) |
| stx_pnt = GEOSGeometry('POINT (-95.370401017314293 29.704867409475465)', 4326) |
| # Another one for Australia |
| au_pnt = GEOSGeometry('POINT (150.791 -34.4919)', 4326) |
| |
| def get_names(self, qs): |
| cities = [c.name for c in qs] |
| cities.sort() |
| return cities |
| |
| def test01_init(self): |
| "Initialization of distance models." |
| |
| # Loading up the cities. |
| def load_cities(city_model, data_tup): |
| for name, x, y in data_tup: |
| c = city_model(name=name, point=Point(x, y, srid=4326)) |
| c.save() |
| |
| load_cities(SouthTexasCity, stx_cities) |
| load_cities(SouthTexasCityFt, stx_cities) |
| load_cities(AustraliaCity, au_cities) |
| |
| self.assertEqual(9, SouthTexasCity.objects.count()) |
| self.assertEqual(9, SouthTexasCityFt.objects.count()) |
| self.assertEqual(11, AustraliaCity.objects.count()) |
| |
| # Loading up the South Texas Zip Codes. |
| for name, wkt in stx_zips: |
| poly = GEOSGeometry(wkt, srid=4269) |
| SouthTexasZipcode(name=name, poly=poly).save() |
| CensusZipcode(name=name, poly=poly).save() |
| self.assertEqual(4, SouthTexasZipcode.objects.count()) |
| self.assertEqual(4, CensusZipcode.objects.count()) |
| |
| # Loading up the Interstates. |
| for name, wkt in interstates: |
| Interstate(name=name, line=GEOSGeometry(wkt, srid=4326)).save() |
| self.assertEqual(1, Interstate.objects.count()) |
| |
| def test02_dwithin(self): |
| "Testing the `dwithin` lookup type." |
| # Distances -- all should be equal (except for the |
| # degree/meter pair in au_cities, that's somewhat |
| # approximate). |
| tx_dists = [(7000, 22965.83), D(km=7), D(mi=4.349)] |
| au_dists = [(0.5, 32000), D(km=32), D(mi=19.884)] |
| |
| # Expected cities for Australia and Texas. |
| tx_cities = ['Downtown Houston', 'Southside Place'] |
| au_cities = ['Mittagong', 'Shellharbour', 'Thirroul', 'Wollongong'] |
| |
| # Performing distance queries on two projected coordinate systems one |
| # with units in meters and the other in units of U.S. survey feet. |
| for dist in tx_dists: |
| if isinstance(dist, tuple): dist1, dist2 = dist |
| else: dist1 = dist2 = dist |
| qs1 = SouthTexasCity.objects.filter(point__dwithin=(self.stx_pnt, dist1)) |
| qs2 = SouthTexasCityFt.objects.filter(point__dwithin=(self.stx_pnt, dist2)) |
| for qs in qs1, qs2: |
| self.assertEqual(tx_cities, self.get_names(qs)) |
| |
| # Now performing the `dwithin` queries on a geodetic coordinate system. |
| for dist in au_dists: |
| if isinstance(dist, D) and not oracle: type_error = True |
| else: type_error = False |
| |
| if isinstance(dist, tuple): |
| if oracle: dist = dist[1] |
| else: dist = dist[0] |
| |
| # Creating the query set. |
| qs = AustraliaCity.objects.order_by('name') |
| if type_error: |
| # A TypeError should be raised on PostGIS when trying to pass |
| # Distance objects into a DWithin query using a geodetic field. |
| self.assertRaises(TypeError, AustraliaCity.objects.filter, point__dwithin=(self.au_pnt, dist)) |
| else: |
| self.assertEqual(au_cities, self.get_names(qs.filter(point__dwithin=(self.au_pnt, dist)))) |
| |
| def test03a_distance_method(self): |
| "Testing the `distance` GeoQuerySet method on projected coordinate systems." |
| # The point for La Grange, TX |
| lagrange = GEOSGeometry('POINT(-96.876369 29.905320)', 4326) |
| # Reference distances in feet and in meters. Got these values from |
| # using the provided raw SQL statements. |
| # SELECT ST_Distance(point, ST_Transform(ST_GeomFromText('POINT(-96.876369 29.905320)', 4326), 32140)) FROM distapp_southtexascity; |
| m_distances = [147075.069813, 139630.198056, 140888.552826, |
| 138809.684197, 158309.246259, 212183.594374, |
| 70870.188967, 165337.758878, 139196.085105] |
| # SELECT ST_Distance(point, ST_Transform(ST_GeomFromText('POINT(-96.876369 29.905320)', 4326), 2278)) FROM distapp_southtexascityft; |
| ft_distances = [482528.79154625, 458103.408123001, 462231.860397575, |
| 455411.438904354, 519386.252102563, 696139.009211594, |
| 232513.278304279, 542445.630586414, 456679.155883207] |
| |
| # Testing using different variations of parameters and using models |
| # with different projected coordinate systems. |
| dist1 = SouthTexasCity.objects.distance(lagrange, field_name='point') |
| dist2 = SouthTexasCity.objects.distance(lagrange) # Using GEOSGeometry parameter |
| dist3 = SouthTexasCityFt.objects.distance(lagrange.ewkt) # Using EWKT string parameter. |
| dist4 = SouthTexasCityFt.objects.distance(lagrange) |
| |
| # Original query done on PostGIS, have to adjust AlmostEqual tolerance |
| # for Oracle. |
| if oracle: tol = 2 |
| else: tol = 5 |
| |
| # Ensuring expected distances are returned for each distance queryset. |
| for qs in [dist1, dist2, dist3, dist4]: |
| for i, c in enumerate(qs): |
| self.assertAlmostEqual(m_distances[i], c.distance.m, tol) |
| self.assertAlmostEqual(ft_distances[i], c.distance.survey_ft, tol) |
| |
| def test03b_distance_method(self): |
| "Testing the `distance` GeoQuerySet method on geodetic coordnate systems." |
| if oracle: tol = 2 |
| else: tol = 5 |
| |
| # Now testing geodetic distance aggregation. |
| hillsdale = AustraliaCity.objects.get(name='Hillsdale') |
| if not oracle: |
| # PostGIS is limited to disance queries only to/from point geometries, |
| # ensuring a TypeError is raised if something else is put in. |
| self.assertRaises(TypeError, AustraliaCity.objects.distance, 'LINESTRING(0 0, 1 1)') |
| self.assertRaises(TypeError, AustraliaCity.objects.distance, LineString((0, 0), (1, 1))) |
| |
| # Got the reference distances using the raw SQL statements: |
| # SELECT ST_distance_spheroid(point, ST_GeomFromText('POINT(151.231341 -33.952685)', 4326), 'SPHEROID["WGS 84",6378137.0,298.257223563]') FROM distapp_australiacity WHERE (NOT (id = 11)); |
| spheroid_distances = [60504.0628825298, 77023.948962654, 49154.8867507115, 90847.435881812, 217402.811862568, 709599.234619957, 640011.483583758, 7772.00667666425, 1047861.7859506, 1165126.55237647] |
| # SELECT ST_distance_sphere(point, ST_GeomFromText('POINT(151.231341 -33.952685)', 4326)) FROM distapp_australiacity WHERE (NOT (id = 11)); st_distance_sphere |
| sphere_distances = [60580.7612632291, 77143.7785056615, 49199.2725132184, 90804.4414289463, 217712.63666124, 709131.691061906, 639825.959074112, 7786.80274606706, 1049200.46122281, 1162619.7297006] |
| |
| # Testing with spheroid distances first. |
| qs = AustraliaCity.objects.exclude(id=hillsdale.id).distance(hillsdale.point, spheroid=True) |
| for i, c in enumerate(qs): |
| self.assertAlmostEqual(spheroid_distances[i], c.distance.m, tol) |
| if postgis: |
| # PostGIS uses sphere-only distances by default, testing these as well. |
| qs = AustraliaCity.objects.exclude(id=hillsdale.id).distance(hillsdale.point) |
| for i, c in enumerate(qs): |
| self.assertAlmostEqual(sphere_distances[i], c.distance.m, tol) |
| |
| @no_oracle # Oracle already handles geographic distance calculation. |
| def test03c_distance_method(self): |
| "Testing the `distance` GeoQuerySet method used with `transform` on a geographic field." |
| # Normally you can't compute distances from a geometry field |
| # that is not a PointField (on PostGIS). |
| self.assertRaises(TypeError, CensusZipcode.objects.distance, self.stx_pnt) |
| |
| # We'll be using a Polygon (created by buffering the centroid |
| # of 77005 to 100m) -- which aren't allowed in geographic distance |
| # queries normally, however our field has been transformed to |
| # a non-geographic system. |
| z = SouthTexasZipcode.objects.get(name='77005') |
| |
| # Reference query: |
| # SELECT ST_Distance(ST_Transform("distapp_censuszipcode"."poly", 32140), ST_GeomFromText('<buffer_wkt>', 32140)) FROM "distapp_censuszipcode"; |
| dists_m = [3553.30384972258, 1243.18391525602, 2186.15439472242] |
| |
| # Having our buffer in the SRID of the transformation and of the field |
| # -- should get the same results. The first buffer has no need for |
| # transformation SQL because it is the same SRID as what was given |
| # to `transform()`. The second buffer will need to be transformed, |
| # however. |
| buf1 = z.poly.centroid.buffer(100) |
| buf2 = buf1.transform(4269, clone=True) |
| for buf in [buf1, buf2]: |
| qs = CensusZipcode.objects.exclude(name='77005').transform(32140).distance(buf) |
| self.assertEqual(['77002', '77025', '77401'], self.get_names(qs)) |
| for i, z in enumerate(qs): |
| self.assertAlmostEqual(z.distance.m, dists_m[i], 5) |
| |
| def test04_distance_lookups(self): |
| "Testing the `distance_lt`, `distance_gt`, `distance_lte`, and `distance_gte` lookup types." |
| # Retrieving the cities within a 20km 'donut' w/a 7km radius 'hole' |
| # (thus, Houston and Southside place will be excluded as tested in |
| # the `test02_dwithin` above). |
| qs1 = SouthTexasCity.objects.filter(point__distance_gte=(self.stx_pnt, D(km=7))).filter(point__distance_lte=(self.stx_pnt, D(km=20))) |
| qs2 = SouthTexasCityFt.objects.filter(point__distance_gte=(self.stx_pnt, D(km=7))).filter(point__distance_lte=(self.stx_pnt, D(km=20))) |
| for qs in qs1, qs2: |
| cities = self.get_names(qs) |
| self.assertEqual(cities, ['Bellaire', 'Pearland', 'West University Place']) |
| |
| # Doing a distance query using Polygons instead of a Point. |
| z = SouthTexasZipcode.objects.get(name='77005') |
| qs = SouthTexasZipcode.objects.exclude(name='77005').filter(poly__distance_lte=(z.poly, D(m=275))) |
| self.assertEqual(['77025', '77401'], self.get_names(qs)) |
| # If we add a little more distance 77002 should be included. |
| qs = SouthTexasZipcode.objects.exclude(name='77005').filter(poly__distance_lte=(z.poly, D(m=300))) |
| self.assertEqual(['77002', '77025', '77401'], self.get_names(qs)) |
| |
| def test05_geodetic_distance_lookups(self): |
| "Testing distance lookups on geodetic coordinate systems." |
| if not oracle: |
| # Oracle doesn't have this limitation -- PostGIS only allows geodetic |
| # distance queries from Points to PointFields. |
| mp = GEOSGeometry('MULTIPOINT(0 0, 5 23)') |
| self.assertRaises(TypeError, |
| AustraliaCity.objects.filter(point__distance_lte=(mp, D(km=100)))) |
| # Too many params (4 in this case) should raise a ValueError. |
| self.assertRaises(ValueError, |
| AustraliaCity.objects.filter, point__distance_lte=('POINT(5 23)', D(km=100), 'spheroid', '4')) |
| |
| # Not enough params should raise a ValueError. |
| self.assertRaises(ValueError, |
| AustraliaCity.objects.filter, point__distance_lte=('POINT(5 23)',)) |
| |
| # Getting all cities w/in 550 miles of Hobart. |
| hobart = AustraliaCity.objects.get(name='Hobart') |
| qs = AustraliaCity.objects.exclude(name='Hobart').filter(point__distance_lte=(hobart.point, D(mi=550))) |
| cities = self.get_names(qs) |
| self.assertEqual(cities, ['Batemans Bay', 'Canberra', 'Melbourne']) |
| |
| # Cities that are either really close or really far from Wollongong -- |
| # and using different units of distance. |
| wollongong = AustraliaCity.objects.get(name='Wollongong') |
| d1, d2 = D(yd=19500), D(nm=400) # Yards (~17km) & Nautical miles. |
| |
| # Normal geodetic distance lookup (uses `distance_sphere` on PostGIS. |
| gq1 = GeoQ(point__distance_lte=(wollongong.point, d1)) |
| gq2 = GeoQ(point__distance_gte=(wollongong.point, d2)) |
| qs1 = AustraliaCity.objects.exclude(name='Wollongong').filter(gq1 | gq2) |
| |
| # Geodetic distance lookup but telling GeoDjango to use `distance_spheroid` |
| # instead (we should get the same results b/c accuracy variance won't matter |
| # in this test case). Using `Q` instead of `GeoQ` to be different (post-qsrf |
| # it doesn't matter). |
| if postgis: |
| gq3 = Q(point__distance_lte=(wollongong.point, d1, 'spheroid')) |
| gq4 = Q(point__distance_gte=(wollongong.point, d2, 'spheroid')) |
| qs2 = AustraliaCity.objects.exclude(name='Wollongong').filter(gq3 | gq4) |
| querysets = [qs1, qs2] |
| else: |
| querysets = [qs1] |
| |
| for qs in querysets: |
| cities = self.get_names(qs) |
| self.assertEqual(cities, ['Adelaide', 'Hobart', 'Shellharbour', 'Thirroul']) |
| |
| def test06_area(self): |
| "Testing the `area` GeoQuerySet method." |
| # Reference queries: |
| # SELECT ST_Area(poly) FROM distapp_southtexaszipcode; |
| area_sq_m = [5437908.90234375, 10183031.4389648, 11254471.0073242, 9881708.91772461] |
| # Tolerance has to be lower for Oracle and differences |
| # with GEOS 3.0.0RC4 |
| tol = 2 |
| for i, z in enumerate(SouthTexasZipcode.objects.area()): |
| self.assertAlmostEqual(area_sq_m[i], z.area.sq_m, tol) |
| |
| def test07_length(self): |
| "Testing the `length` GeoQuerySet method." |
| # Reference query (should use `length_spheroid`). |
| # SELECT ST_length_spheroid(ST_GeomFromText('<wkt>', 4326) 'SPHEROID["WGS 84",6378137,298.257223563, AUTHORITY["EPSG","7030"]]'); |
| len_m = 473504.769553813 |
| qs = Interstate.objects.length() |
| if oracle: tol = 2 |
| else: tol = 5 |
| self.assertAlmostEqual(len_m, qs[0].length.m, tol) |
| |
| def test08_perimeter(self): |
| "Testing the `perimeter` GeoQuerySet method." |
| # Reference query: |
| # SELECT ST_Perimeter(distapp_southtexaszipcode.poly) FROM distapp_southtexaszipcode; |
| perim_m = [18404.3550889361, 15627.2108551001, 20632.5588368978, 17094.5996143697] |
| if oracle: tol = 2 |
| else: tol = 7 |
| for i, z in enumerate(SouthTexasZipcode.objects.perimeter()): |
| self.assertAlmostEqual(perim_m[i], z.perimeter.m, tol) |
| |
| # Running on points; should return 0. |
| for i, c in enumerate(SouthTexasCity.objects.perimeter(model_att='perim')): |
| self.assertEqual(0, c.perim.m) |
| |
| def suite(): |
| s = unittest.TestSuite() |
| s.addTest(unittest.makeSuite(DistanceTest)) |
| return s |
