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.tests.utils import oracle, postgis, spatialite, no_oracle, no_spatialite from models import AustraliaCity, Interstate, SouthTexasInterstate, \ SouthTexasCity, SouthTexasCityFt, CensusZipcode, SouthTexasZipcode from data import au_cities, interstates, stx_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: city_model(name=name, point=Point(x, y, srid=4326)).save() def load_interstates(imodel, data_tup): for name, wkt in data_tup: imodel(name=name, path=wkt).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. load_interstates(Interstate, interstates) load_interstates(SouthTexasInterstate, stx_interstates) self.assertEqual(1, Interstate.objects.count()) self.assertEqual(1, SouthTexasInterstate.objects.count()) @no_spatialite 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 ValueError should be raised on PostGIS when trying to pass # Distance objects into a DWithin query using a geodetic field. self.assertRaises(ValueError, AustraliaCity.objects.filter(point__dwithin=(self.au_pnt, dist)).count) 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; # Oracle 11 thinks this is not a projected coordinate system, so it's s # not tested. 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 if spatialite or oracle: dist_qs = [dist1, dist2] else: dist3 = SouthTexasCityFt.objects.distance(lagrange.ewkt) # Using EWKT string parameter. dist4 = SouthTexasCityFt.objects.distance(lagrange) dist_qs = [dist1, dist2, dist3, dist4] # 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 dist_qs: 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) @no_spatialite 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(ValueError, AustraliaCity.objects.distance, 'LINESTRING(0 0, 1 1)') self.assertRaises(ValueError, 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(ValueError, 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('', 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) ref_zips = ['77002', '77025', '77401'] for buf in [buf1, buf2]: qs = CensusZipcode.objects.exclude(name='77005').transform(32140).distance(buf) self.assertEqual(ref_zips, 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))) # Can't determine the units on SpatiaLite from PROJ.4 string, and # Oracle 11 incorrectly thinks it is not projected. if spatialite or oracle: dist_qs = (qs1,) else: qs2 = SouthTexasCityFt.objects.filter(point__distance_gte=(self.stx_pnt, D(km=7))).filter(point__distance_lte=(self.stx_pnt, D(km=20))) dist_qs = (qs1, qs2) for qs in dist_qs: 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)) @no_spatialite 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(ValueError, len, AustraliaCity.objects.filter(point__distance_lte=(mp, D(km=100)))) # Too many params (4 in this case) should raise a ValueError. self.assertRaises(ValueError, len, AustraliaCity.objects.filter(point__distance_lte=('POINT(5 23)', D(km=100), 'spheroid', '4'))) # Not enough params should raise a ValueError. self.assertRaises(ValueError, len, 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 = Q(point__distance_lte=(wollongong.point, d1)) gq2 = Q(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). 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('', 4326) 'SPHEROID["WGS 84",6378137,298.257223563, AUTHORITY["EPSG","7030"]]'); len_m1 = 473504.769553813 len_m2 = 4617.668 if spatialite: # Does not support geodetic coordinate systems. self.assertRaises(ValueError, Interstate.objects.length) else: qs = Interstate.objects.length() if oracle: tol = 2 else: tol = 5 self.assertAlmostEqual(len_m1, qs[0].length.m, tol) # Now doing length on a projected coordinate system. i10 = SouthTexasInterstate.objects.length().get(name='I-10') self.assertAlmostEqual(len_m2, i10.length.m, 2) @no_spatialite 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