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724 lines
35 KiB
Python
724 lines
35 KiB
Python
from __future__ import unicode_literals
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from unittest import skipUnless
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from django.contrib.gis.db.models.functions import (
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Area, Distance, Length, Perimeter, Transform,
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)
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from django.contrib.gis.gdal import HAS_GDAL
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from django.contrib.gis.geos import GEOSGeometry, LineString, Point
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from django.contrib.gis.measure import D # alias for Distance
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from django.db import connection
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from django.db.models import F, Q
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from django.test import TestCase, ignore_warnings, mock, skipUnlessDBFeature
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from django.utils.deprecation import RemovedInDjango20Warning
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from ..utils import no_oracle, oracle, postgis
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from .models import (
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AustraliaCity, CensusZipcode, Interstate, SouthTexasCity, SouthTexasCityFt,
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SouthTexasInterstate, SouthTexasZipcode,
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)
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@skipUnlessDBFeature("gis_enabled")
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class DistanceTest(TestCase):
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fixtures = ['initial']
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def setUp(self):
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# A point we are testing distances with -- using a WGS84
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# coordinate that'll be implicitly transformed to that to
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# the coordinate system of the field, EPSG:32140 (Texas South Central
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# w/units in meters)
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self.stx_pnt = GEOSGeometry('POINT (-95.370401017314293 29.704867409475465)', 4326)
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# Another one for Australia
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self.au_pnt = GEOSGeometry('POINT (150.791 -34.4919)', 4326)
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def get_names(self, qs):
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cities = [c.name for c in qs]
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cities.sort()
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return cities
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def test_init(self):
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"""
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Test initialization of distance models.
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"""
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self.assertEqual(9, SouthTexasCity.objects.count())
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self.assertEqual(9, SouthTexasCityFt.objects.count())
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self.assertEqual(11, AustraliaCity.objects.count())
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self.assertEqual(4, SouthTexasZipcode.objects.count())
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self.assertEqual(4, CensusZipcode.objects.count())
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self.assertEqual(1, Interstate.objects.count())
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self.assertEqual(1, SouthTexasInterstate.objects.count())
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@skipUnlessDBFeature("supports_dwithin_lookup")
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def test_dwithin(self):
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"""
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Test the `dwithin` lookup type.
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"""
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# Distances -- all should be equal (except for the
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# degree/meter pair in au_cities, that's somewhat
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# approximate).
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tx_dists = [(7000, 22965.83), D(km=7), D(mi=4.349)]
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au_dists = [(0.5, 32000), D(km=32), D(mi=19.884)]
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# Expected cities for Australia and Texas.
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tx_cities = ['Downtown Houston', 'Southside Place']
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au_cities = ['Mittagong', 'Shellharbour', 'Thirroul', 'Wollongong']
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# Performing distance queries on two projected coordinate systems one
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# with units in meters and the other in units of U.S. survey feet.
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for dist in tx_dists:
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if isinstance(dist, tuple):
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dist1, dist2 = dist
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else:
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dist1 = dist2 = dist
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qs1 = SouthTexasCity.objects.filter(point__dwithin=(self.stx_pnt, dist1))
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qs2 = SouthTexasCityFt.objects.filter(point__dwithin=(self.stx_pnt, dist2))
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for qs in qs1, qs2:
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self.assertEqual(tx_cities, self.get_names(qs))
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# Now performing the `dwithin` queries on a geodetic coordinate system.
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for dist in au_dists:
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if isinstance(dist, D) and not oracle:
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type_error = True
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else:
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type_error = False
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if isinstance(dist, tuple):
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if oracle:
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dist = dist[1]
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else:
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dist = dist[0]
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# Creating the query set.
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qs = AustraliaCity.objects.order_by('name')
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if type_error:
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# A ValueError should be raised on PostGIS when trying to pass
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# Distance objects into a DWithin query using a geodetic field.
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self.assertRaises(ValueError, AustraliaCity.objects.filter(point__dwithin=(self.au_pnt, dist)).count)
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else:
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self.assertListEqual(au_cities, self.get_names(qs.filter(point__dwithin=(self.au_pnt, dist))))
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@skipUnlessDBFeature("has_distance_method")
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@ignore_warnings(category=RemovedInDjango20Warning)
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def test_distance_projected(self):
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"""
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Test the `distance` GeoQuerySet method on projected coordinate systems.
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"""
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# The point for La Grange, TX
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lagrange = GEOSGeometry('POINT(-96.876369 29.905320)', 4326)
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# Reference distances in feet and in meters. Got these values from
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# using the provided raw SQL statements.
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# SELECT ST_Distance(point, ST_Transform(ST_GeomFromText('POINT(-96.876369 29.905320)', 4326), 32140))
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# FROM distapp_southtexascity;
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m_distances = [147075.069813, 139630.198056, 140888.552826,
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138809.684197, 158309.246259, 212183.594374,
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70870.188967, 165337.758878, 139196.085105]
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# SELECT ST_Distance(point, ST_Transform(ST_GeomFromText('POINT(-96.876369 29.905320)', 4326), 2278))
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# FROM distapp_southtexascityft;
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# Oracle 11 thinks this is not a projected coordinate system, so it's
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# not tested.
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ft_distances = [482528.79154625, 458103.408123001, 462231.860397575,
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455411.438904354, 519386.252102563, 696139.009211594,
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232513.278304279, 542445.630586414, 456679.155883207]
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# Testing using different variations of parameters and using models
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# with different projected coordinate systems.
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dist1 = SouthTexasCity.objects.distance(lagrange, field_name='point').order_by('id')
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dist2 = SouthTexasCity.objects.distance(lagrange).order_by('id') # Using GEOSGeometry parameter
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if oracle:
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dist_qs = [dist1, dist2]
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else:
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dist3 = SouthTexasCityFt.objects.distance(lagrange.ewkt).order_by('id') # Using EWKT string parameter.
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dist4 = SouthTexasCityFt.objects.distance(lagrange).order_by('id')
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dist_qs = [dist1, dist2, dist3, dist4]
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# Original query done on PostGIS, have to adjust AlmostEqual tolerance
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# for Oracle.
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tol = 2 if oracle else 5
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# Ensuring expected distances are returned for each distance queryset.
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for qs in dist_qs:
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for i, c in enumerate(qs):
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self.assertAlmostEqual(m_distances[i], c.distance.m, tol)
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self.assertAlmostEqual(ft_distances[i], c.distance.survey_ft, tol)
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@skipUnlessDBFeature("has_distance_method", "supports_distance_geodetic")
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@ignore_warnings(category=RemovedInDjango20Warning)
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def test_distance_geodetic(self):
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"""
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Test the `distance` GeoQuerySet method on geodetic coordinate systems.
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"""
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tol = 2 if oracle else 5
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# Testing geodetic distance calculation with a non-point geometry
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# (a LineString of Wollongong and Shellharbour coords).
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ls = LineString(((150.902, -34.4245), (150.87, -34.5789)))
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# Reference query:
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# SELECT ST_distance_sphere(point, ST_GeomFromText('LINESTRING(150.9020 -34.4245,150.8700 -34.5789)', 4326))
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# FROM distapp_australiacity ORDER BY name;
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distances = [1120954.92533513, 140575.720018241, 640396.662906304,
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60580.9693849269, 972807.955955075, 568451.8357838,
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40435.4335201384, 0, 68272.3896586844, 12375.0643697706, 0]
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qs = AustraliaCity.objects.distance(ls).order_by('name')
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for city, distance in zip(qs, distances):
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# Testing equivalence to within a meter.
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self.assertAlmostEqual(distance, city.distance.m, 0)
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# Got the reference distances using the raw SQL statements:
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# SELECT ST_distance_spheroid(point, ST_GeomFromText('POINT(151.231341 -33.952685)', 4326),
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# 'SPHEROID["WGS 84",6378137.0,298.257223563]') FROM distapp_australiacity WHERE (NOT (id = 11));
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# SELECT ST_distance_sphere(point, ST_GeomFromText('POINT(151.231341 -33.952685)', 4326))
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# FROM distapp_australiacity WHERE (NOT (id = 11)); st_distance_sphere
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if connection.ops.postgis and connection.ops.proj_version_tuple() >= (4, 7, 0):
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# PROJ.4 versions 4.7+ have updated datums, and thus different
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# distance values.
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spheroid_distances = [60504.0628957201, 77023.9489850262, 49154.8867574404,
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90847.4358768573, 217402.811919332, 709599.234564757,
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640011.483550888, 7772.00667991925, 1047861.78619339,
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1165126.55236034]
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sphere_distances = [60580.9693849267, 77144.0435286473, 49199.4415344719,
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90804.7533823494, 217713.384600405, 709134.127242793,
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639828.157159169, 7786.82949717788, 1049204.06569028,
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1162623.7238134]
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else:
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spheroid_distances = [60504.0628825298, 77023.948962654, 49154.8867507115,
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90847.435881812, 217402.811862568, 709599.234619957,
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640011.483583758, 7772.00667666425, 1047861.7859506,
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1165126.55237647]
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sphere_distances = [60580.7612632291, 77143.7785056615, 49199.2725132184,
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90804.4414289463, 217712.63666124, 709131.691061906,
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639825.959074112, 7786.80274606706, 1049200.46122281,
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1162619.7297006]
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# Testing with spheroid distances first.
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hillsdale = AustraliaCity.objects.get(name='Hillsdale')
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qs = AustraliaCity.objects.exclude(id=hillsdale.id).distance(hillsdale.point, spheroid=True).order_by('id')
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for i, c in enumerate(qs):
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self.assertAlmostEqual(spheroid_distances[i], c.distance.m, tol)
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if postgis:
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# PostGIS uses sphere-only distances by default, testing these as well.
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qs = AustraliaCity.objects.exclude(id=hillsdale.id).distance(hillsdale.point).order_by('id')
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for i, c in enumerate(qs):
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self.assertAlmostEqual(sphere_distances[i], c.distance.m, tol)
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@no_oracle # Oracle already handles geographic distance calculation.
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@skipUnlessDBFeature("has_distance_method")
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@ignore_warnings(category=RemovedInDjango20Warning)
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def test_distance_transform(self):
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"""
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Test the `distance` GeoQuerySet method used with `transform` on a geographic field.
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"""
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# We'll be using a Polygon (created by buffering the centroid
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# of 77005 to 100m) -- which aren't allowed in geographic distance
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# queries normally, however our field has been transformed to
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# a non-geographic system.
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z = SouthTexasZipcode.objects.get(name='77005')
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# Reference query:
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# SELECT ST_Distance(ST_Transform("distapp_censuszipcode"."poly", 32140),
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# ST_GeomFromText('<buffer_wkt>', 32140))
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# FROM "distapp_censuszipcode";
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dists_m = [3553.30384972258, 1243.18391525602, 2186.15439472242]
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# Having our buffer in the SRID of the transformation and of the field
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# -- should get the same results. The first buffer has no need for
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# transformation SQL because it is the same SRID as what was given
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# to `transform()`. The second buffer will need to be transformed,
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# however.
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buf1 = z.poly.centroid.buffer(100)
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buf2 = buf1.transform(4269, clone=True)
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ref_zips = ['77002', '77025', '77401']
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for buf in [buf1, buf2]:
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qs = CensusZipcode.objects.exclude(name='77005').transform(32140).distance(buf).order_by('name')
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self.assertListEqual(ref_zips, self.get_names(qs))
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for i, z in enumerate(qs):
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self.assertAlmostEqual(z.distance.m, dists_m[i], 5)
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@skipUnlessDBFeature("supports_distances_lookups")
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def test_distance_lookups(self):
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"""
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Test the `distance_lt`, `distance_gt`, `distance_lte`, and `distance_gte` lookup types.
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"""
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# Retrieving the cities within a 20km 'donut' w/a 7km radius 'hole'
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# (thus, Houston and Southside place will be excluded as tested in
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# the `test02_dwithin` above).
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qs1 = SouthTexasCity.objects.filter(point__distance_gte=(self.stx_pnt, D(km=7))).filter(
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point__distance_lte=(self.stx_pnt, D(km=20)),
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)
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# Oracle 11 incorrectly thinks it is not projected.
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if oracle:
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dist_qs = (qs1,)
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else:
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qs2 = SouthTexasCityFt.objects.filter(point__distance_gte=(self.stx_pnt, D(km=7))).filter(
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point__distance_lte=(self.stx_pnt, D(km=20)),
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)
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dist_qs = (qs1, qs2)
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for qs in dist_qs:
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cities = self.get_names(qs)
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self.assertEqual(cities, ['Bellaire', 'Pearland', 'West University Place'])
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# Doing a distance query using Polygons instead of a Point.
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z = SouthTexasZipcode.objects.get(name='77005')
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qs = SouthTexasZipcode.objects.exclude(name='77005').filter(poly__distance_lte=(z.poly, D(m=275)))
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self.assertEqual(['77025', '77401'], self.get_names(qs))
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# If we add a little more distance 77002 should be included.
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qs = SouthTexasZipcode.objects.exclude(name='77005').filter(poly__distance_lte=(z.poly, D(m=300)))
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self.assertEqual(['77002', '77025', '77401'], self.get_names(qs))
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@skipUnlessDBFeature("supports_distances_lookups", "supports_distance_geodetic")
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def test_geodetic_distance_lookups(self):
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"""
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Test distance lookups on geodetic coordinate systems.
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"""
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# Line is from Canberra to Sydney. Query is for all other cities within
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# a 100km of that line (which should exclude only Hobart & Adelaide).
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line = GEOSGeometry('LINESTRING(144.9630 -37.8143,151.2607 -33.8870)', 4326)
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dist_qs = AustraliaCity.objects.filter(point__distance_lte=(line, D(km=100)))
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self.assertEqual(9, dist_qs.count())
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self.assertEqual(['Batemans Bay', 'Canberra', 'Hillsdale',
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'Melbourne', 'Mittagong', 'Shellharbour',
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'Sydney', 'Thirroul', 'Wollongong'],
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self.get_names(dist_qs))
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# Too many params (4 in this case) should raise a ValueError.
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queryset = AustraliaCity.objects.filter(point__distance_lte=('POINT(5 23)', D(km=100), 'spheroid', '4'))
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self.assertRaises(ValueError, len, queryset)
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# Not enough params should raise a ValueError.
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self.assertRaises(ValueError, len,
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AustraliaCity.objects.filter(point__distance_lte=('POINT(5 23)',)))
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# Getting all cities w/in 550 miles of Hobart.
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hobart = AustraliaCity.objects.get(name='Hobart')
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qs = AustraliaCity.objects.exclude(name='Hobart').filter(point__distance_lte=(hobart.point, D(mi=550)))
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cities = self.get_names(qs)
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self.assertEqual(cities, ['Batemans Bay', 'Canberra', 'Melbourne'])
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# Cities that are either really close or really far from Wollongong --
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# and using different units of distance.
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wollongong = AustraliaCity.objects.get(name='Wollongong')
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d1, d2 = D(yd=19500), D(nm=400) # Yards (~17km) & Nautical miles.
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# Normal geodetic distance lookup (uses `distance_sphere` on PostGIS.
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gq1 = Q(point__distance_lte=(wollongong.point, d1))
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gq2 = Q(point__distance_gte=(wollongong.point, d2))
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qs1 = AustraliaCity.objects.exclude(name='Wollongong').filter(gq1 | gq2)
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# Geodetic distance lookup but telling GeoDjango to use `distance_spheroid`
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# instead (we should get the same results b/c accuracy variance won't matter
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# in this test case).
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querysets = [qs1]
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if connection.features.has_distance_spheroid_method:
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gq3 = Q(point__distance_lte=(wollongong.point, d1, 'spheroid'))
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gq4 = Q(point__distance_gte=(wollongong.point, d2, 'spheroid'))
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qs2 = AustraliaCity.objects.exclude(name='Wollongong').filter(gq3 | gq4)
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querysets.append(qs2)
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for qs in querysets:
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cities = self.get_names(qs)
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self.assertEqual(cities, ['Adelaide', 'Hobart', 'Shellharbour', 'Thirroul'])
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@skipUnlessDBFeature("supports_distances_lookups")
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def test_distance_lookups_with_expression_rhs(self):
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qs = SouthTexasCity.objects.filter(
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point__distance_lte=(self.stx_pnt, F('radius')),
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).order_by('name')
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self.assertEqual(
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self.get_names(qs),
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['Bellaire', 'Downtown Houston', 'Southside Place', 'West University Place']
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)
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# With a combined expression
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qs = SouthTexasCity.objects.filter(
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point__distance_lte=(self.stx_pnt, F('radius') * 2),
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).order_by('name')
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self.assertEqual(len(qs), 5)
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self.assertIn('Pearland', self.get_names(qs))
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# With spheroid param
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if connection.features.supports_distance_geodetic:
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hobart = AustraliaCity.objects.get(name='Hobart')
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qs = AustraliaCity.objects.filter(
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point__distance_lte=(hobart.point, F('radius') * 70, 'spheroid'),
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).order_by('name')
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self.assertEqual(self.get_names(qs), ['Canberra', 'Hobart', 'Melbourne'])
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@skipUnlessDBFeature("has_area_method")
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@ignore_warnings(category=RemovedInDjango20Warning)
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def test_area(self):
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"""
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Test the `area` GeoQuerySet method.
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"""
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# Reference queries:
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# SELECT ST_Area(poly) FROM distapp_southtexaszipcode;
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area_sq_m = [5437908.90234375, 10183031.4389648, 11254471.0073242, 9881708.91772461]
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# Tolerance has to be lower for Oracle
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tol = 2
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for i, z in enumerate(SouthTexasZipcode.objects.order_by('name').area()):
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self.assertAlmostEqual(area_sq_m[i], z.area.sq_m, tol)
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@skipUnlessDBFeature("has_length_method")
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@ignore_warnings(category=RemovedInDjango20Warning)
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def test_length(self):
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"""
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Test the `length` GeoQuerySet method.
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"""
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# Reference query (should use `length_spheroid`).
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# SELECT ST_length_spheroid(ST_GeomFromText('<wkt>', 4326) 'SPHEROID["WGS 84",6378137,298.257223563,
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# AUTHORITY["EPSG","7030"]]');
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len_m1 = 473504.769553813
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len_m2 = 4617.668
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if connection.features.supports_distance_geodetic:
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qs = Interstate.objects.length()
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tol = 2 if oracle else 3
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self.assertAlmostEqual(len_m1, qs[0].length.m, tol)
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else:
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# Does not support geodetic coordinate systems.
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self.assertRaises(ValueError, Interstate.objects.length)
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# Now doing length on a projected coordinate system.
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i10 = SouthTexasInterstate.objects.length().get(name='I-10')
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self.assertAlmostEqual(len_m2, i10.length.m, 2)
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@skipUnlessDBFeature("has_perimeter_method")
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@ignore_warnings(category=RemovedInDjango20Warning)
|
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def test_perimeter(self):
|
|
"""
|
|
Test 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]
|
|
tol = 2 if oracle else 7
|
|
for i, z in enumerate(SouthTexasZipcode.objects.order_by('name').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)
|
|
|
|
@skipUnlessDBFeature("has_area_method", "has_distance_method")
|
|
@ignore_warnings(category=RemovedInDjango20Warning)
|
|
def test_measurement_null_fields(self):
|
|
"""
|
|
Test the measurement GeoQuerySet methods on fields with NULL values.
|
|
"""
|
|
# Creating SouthTexasZipcode w/NULL value.
|
|
SouthTexasZipcode.objects.create(name='78212')
|
|
# Performing distance/area queries against the NULL PolygonField,
|
|
# and ensuring the result of the operations is None.
|
|
htown = SouthTexasCity.objects.get(name='Downtown Houston')
|
|
z = SouthTexasZipcode.objects.distance(htown.point).area().get(name='78212')
|
|
self.assertIsNone(z.distance)
|
|
self.assertIsNone(z.area)
|
|
|
|
@skipUnlessDBFeature("has_distance_method")
|
|
@ignore_warnings(category=RemovedInDjango20Warning)
|
|
def test_distance_order_by(self):
|
|
qs = SouthTexasCity.objects.distance(Point(3, 3)).order_by(
|
|
'distance'
|
|
).values_list('name', flat=True).filter(name__in=('San Antonio', 'Pearland'))
|
|
self.assertQuerysetEqual(qs, ['San Antonio', 'Pearland'], lambda x: x)
|
|
|
|
|
|
'''
|
|
=============================
|
|
Distance functions on PostGIS
|
|
=============================
|
|
|
|
| Projected Geometry | Lon/lat Geometry | Geography (4326)
|
|
|
|
ST_Distance(geom1, geom2) | OK (meters) | :-( (degrees) | OK (meters)
|
|
|
|
ST_Distance(geom1, geom2, use_spheroid=False) | N/A | N/A | OK (meters), less accurate, quick
|
|
|
|
Distance_Sphere(geom1, geom2) | N/A | OK (meters) | N/A
|
|
|
|
Distance_Spheroid(geom1, geom2, spheroid) | N/A | OK (meters) | N/A
|
|
|
|
ST_Perimeter(geom1) | OK | :-( (degrees) | OK
|
|
|
|
|
|
================================
|
|
Distance functions on Spatialite
|
|
================================
|
|
|
|
| Projected Geometry | Lon/lat Geometry
|
|
|
|
ST_Distance(geom1, geom2) | OK (meters) | N/A
|
|
|
|
ST_Distance(geom1, geom2, use_ellipsoid=True) | N/A | OK (meters)
|
|
|
|
ST_Distance(geom1, geom2, use_ellipsoid=False) | N/A | OK (meters), less accurate, quick
|
|
|
|
Perimeter(geom1) | OK | :-( (degrees)
|
|
|
|
''' # NOQA
|
|
|
|
|
|
@skipUnlessDBFeature("gis_enabled")
|
|
class DistanceFunctionsTests(TestCase):
|
|
fixtures = ['initial']
|
|
|
|
@skipUnlessDBFeature("has_Area_function")
|
|
def test_area(self):
|
|
# 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
|
|
tol = 2
|
|
for i, z in enumerate(SouthTexasZipcode.objects.annotate(area=Area('poly')).order_by('name')):
|
|
# MySQL is returning a raw float value
|
|
self.assertAlmostEqual(area_sq_m[i], z.area.sq_m if hasattr(z.area, 'sq_m') else z.area, tol)
|
|
|
|
@skipUnlessDBFeature("has_Distance_function")
|
|
def test_distance_simple(self):
|
|
"""
|
|
Test a simple distance query, with projected coordinates and without
|
|
transformation.
|
|
"""
|
|
lagrange = GEOSGeometry('POINT(805066.295722839 4231496.29461335)', 32140)
|
|
houston = SouthTexasCity.objects.annotate(dist=Distance('point', lagrange)).order_by('id').first()
|
|
tol = 2 if oracle else 5
|
|
self.assertAlmostEqual(
|
|
houston.dist.m if hasattr(houston.dist, 'm') else houston.dist,
|
|
147075.069813,
|
|
tol
|
|
)
|
|
|
|
@skipUnless(HAS_GDAL, "GDAL is required.")
|
|
@skipUnlessDBFeature("has_Distance_function", "has_Transform_function")
|
|
def test_distance_projected(self):
|
|
"""
|
|
Test the `Distance` function 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
|
|
# not tested.
|
|
ft_distances = [482528.79154625, 458103.408123001, 462231.860397575,
|
|
455411.438904354, 519386.252102563, 696139.009211594,
|
|
232513.278304279, 542445.630586414, 456679.155883207]
|
|
|
|
for has_gdal in [False, True]:
|
|
with mock.patch('django.contrib.gis.gdal.HAS_GDAL', has_gdal):
|
|
# Testing using different variations of parameters and using models
|
|
# with different projected coordinate systems.
|
|
dist1 = SouthTexasCity.objects.annotate(distance=Distance('point', lagrange)).order_by('id')
|
|
if oracle:
|
|
dist_qs = [dist1]
|
|
else:
|
|
dist2 = SouthTexasCityFt.objects.annotate(distance=Distance('point', lagrange)).order_by('id')
|
|
dist_qs = [dist1, dist2]
|
|
|
|
# Original query done on PostGIS, have to adjust AlmostEqual tolerance
|
|
# for Oracle.
|
|
tol = 2 if oracle else 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)
|
|
|
|
@skipUnlessDBFeature("has_Distance_function", "supports_distance_geodetic")
|
|
def test_distance_geodetic(self):
|
|
"""
|
|
Test the `Distance` function on geodetic coordinate systems.
|
|
"""
|
|
# Testing geodetic distance calculation with a non-point geometry
|
|
# (a LineString of Wollongong and Shellharbour coords).
|
|
ls = LineString(((150.902, -34.4245), (150.87, -34.5789)), srid=4326)
|
|
|
|
# Reference query:
|
|
# SELECT ST_distance_sphere(point, ST_GeomFromText('LINESTRING(150.9020 -34.4245,150.8700 -34.5789)', 4326))
|
|
# FROM distapp_australiacity ORDER BY name;
|
|
distances = [1120954.92533513, 140575.720018241, 640396.662906304,
|
|
60580.9693849269, 972807.955955075, 568451.8357838,
|
|
40435.4335201384, 0, 68272.3896586844, 12375.0643697706, 0]
|
|
qs = AustraliaCity.objects.annotate(distance=Distance('point', ls)).order_by('name')
|
|
for city, distance in zip(qs, distances):
|
|
# Testing equivalence to within a meter.
|
|
self.assertAlmostEqual(distance, city.distance.m, 0)
|
|
|
|
@skipUnlessDBFeature("has_Distance_function", "supports_distance_geodetic")
|
|
def test_distance_geodetic_spheroid(self):
|
|
tol = 2 if oracle else 5
|
|
|
|
# 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));
|
|
# SELECT ST_distance_sphere(point, ST_GeomFromText('POINT(151.231341 -33.952685)', 4326))
|
|
# FROM distapp_australiacity WHERE (NOT (id = 11)); st_distance_sphere
|
|
if connection.ops.postgis and connection.ops.proj_version_tuple() >= (4, 7, 0):
|
|
# PROJ.4 versions 4.7+ have updated datums, and thus different
|
|
# distance values.
|
|
spheroid_distances = [60504.0628957201, 77023.9489850262, 49154.8867574404,
|
|
90847.4358768573, 217402.811919332, 709599.234564757,
|
|
640011.483550888, 7772.00667991925, 1047861.78619339,
|
|
1165126.55236034]
|
|
sphere_distances = [60580.9693849267, 77144.0435286473, 49199.4415344719,
|
|
90804.7533823494, 217713.384600405, 709134.127242793,
|
|
639828.157159169, 7786.82949717788, 1049204.06569028,
|
|
1162623.7238134]
|
|
|
|
else:
|
|
spheroid_distances = [60504.0628825298, 77023.948962654, 49154.8867507115,
|
|
90847.435881812, 217402.811862568, 709599.234619957,
|
|
640011.483583758, 7772.00667666425, 1047861.7859506,
|
|
1165126.55237647]
|
|
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.
|
|
hillsdale = AustraliaCity.objects.get(name='Hillsdale')
|
|
qs = AustraliaCity.objects.exclude(id=hillsdale.id).annotate(
|
|
distance=Distance('point', hillsdale.point, spheroid=True)
|
|
).order_by('id')
|
|
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).annotate(
|
|
distance=Distance('point', hillsdale.point)
|
|
).order_by('id')
|
|
for i, c in enumerate(qs):
|
|
self.assertAlmostEqual(sphere_distances[i], c.distance.m, tol)
|
|
|
|
@no_oracle # Oracle already handles geographic distance calculation.
|
|
@skipUnlessDBFeature("has_Distance_function", 'has_Transform_function')
|
|
def test_distance_transform(self):
|
|
"""
|
|
Test the `Distance` function used with `Transform` on a geographic field.
|
|
"""
|
|
# 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)
|
|
ref_zips = ['77002', '77025', '77401']
|
|
|
|
for buf in [buf1, buf2]:
|
|
qs = CensusZipcode.objects.exclude(name='77005').annotate(
|
|
distance=Distance(Transform('poly', 32140), buf)
|
|
).order_by('name')
|
|
self.assertEqual(ref_zips, sorted([c.name for c in qs]))
|
|
for i, z in enumerate(qs):
|
|
self.assertAlmostEqual(z.distance.m, dists_m[i], 5)
|
|
|
|
@skipUnlessDBFeature("has_Distance_function")
|
|
def test_distance_order_by(self):
|
|
qs = SouthTexasCity.objects.annotate(distance=Distance('point', Point(3, 3, srid=32140))).order_by(
|
|
'distance'
|
|
).values_list('name', flat=True).filter(name__in=('San Antonio', 'Pearland'))
|
|
self.assertQuerysetEqual(qs, ['San Antonio', 'Pearland'], lambda x: x)
|
|
|
|
@skipUnlessDBFeature("has_Length_function")
|
|
def test_length(self):
|
|
"""
|
|
Test the `Length` function.
|
|
"""
|
|
# Reference query (should use `length_spheroid`).
|
|
# SELECT ST_length_spheroid(ST_GeomFromText('<wkt>', 4326) 'SPHEROID["WGS 84",6378137,298.257223563,
|
|
# AUTHORITY["EPSG","7030"]]');
|
|
len_m1 = 473504.769553813
|
|
len_m2 = 4617.668
|
|
|
|
if connection.features.supports_length_geodetic:
|
|
qs = Interstate.objects.annotate(length=Length('path'))
|
|
tol = 2 if oracle else 3
|
|
self.assertAlmostEqual(len_m1, qs[0].length.m, tol)
|
|
# TODO: test with spheroid argument (True and False)
|
|
else:
|
|
# Does not support geodetic coordinate systems.
|
|
with self.assertRaises(NotImplementedError):
|
|
list(Interstate.objects.annotate(length=Length('path')))
|
|
|
|
# Now doing length on a projected coordinate system.
|
|
i10 = SouthTexasInterstate.objects.annotate(length=Length('path')).get(name='I-10')
|
|
self.assertAlmostEqual(len_m2, i10.length.m if isinstance(i10.length, D) else i10.length, 2)
|
|
self.assertTrue(
|
|
SouthTexasInterstate.objects.annotate(length=Length('path')).filter(length__gt=4000).exists()
|
|
)
|
|
|
|
@skipUnlessDBFeature("has_Perimeter_function")
|
|
def test_perimeter(self):
|
|
"""
|
|
Test the `Perimeter` function.
|
|
"""
|
|
# Reference query:
|
|
# SELECT ST_Perimeter(distapp_southtexaszipcode.poly) FROM distapp_southtexaszipcode;
|
|
perim_m = [18404.3550889361, 15627.2108551001, 20632.5588368978, 17094.5996143697]
|
|
tol = 2 if oracle else 7
|
|
qs = SouthTexasZipcode.objects.annotate(perimeter=Perimeter('poly')).order_by('name')
|
|
for i, z in enumerate(qs):
|
|
self.assertAlmostEqual(perim_m[i], z.perimeter.m, tol)
|
|
|
|
# Running on points; should return 0.
|
|
qs = SouthTexasCity.objects.annotate(perim=Perimeter('point'))
|
|
for city in qs:
|
|
self.assertEqual(0, city.perim.m)
|
|
|
|
@skipUnlessDBFeature("has_Perimeter_function")
|
|
def test_perimeter_geodetic(self):
|
|
# Currently only Oracle supports calculating the perimeter on geodetic
|
|
# geometries (without being transformed).
|
|
qs1 = CensusZipcode.objects.annotate(perim=Perimeter('poly'))
|
|
if connection.features.supports_perimeter_geodetic:
|
|
self.assertAlmostEqual(qs1[0].perim.m, 18406.3818954314, 3)
|
|
else:
|
|
with self.assertRaises(NotImplementedError):
|
|
list(qs1)
|
|
# But should work fine when transformed to projected coordinates
|
|
qs2 = CensusZipcode.objects.annotate(perim=Perimeter(Transform('poly', 32140))).filter(name='77002')
|
|
self.assertAlmostEqual(qs2[0].perim.m, 18404.355, 3)
|
|
|
|
@skipUnlessDBFeature("supports_null_geometries", "has_Area_function", "has_Distance_function")
|
|
def test_measurement_null_fields(self):
|
|
"""
|
|
Test the measurement functions on fields with NULL values.
|
|
"""
|
|
# Creating SouthTexasZipcode w/NULL value.
|
|
SouthTexasZipcode.objects.create(name='78212')
|
|
# Performing distance/area queries against the NULL PolygonField,
|
|
# and ensuring the result of the operations is None.
|
|
htown = SouthTexasCity.objects.get(name='Downtown Houston')
|
|
z = SouthTexasZipcode.objects.annotate(
|
|
distance=Distance('poly', htown.point), area=Area('poly')
|
|
).get(name='78212')
|
|
self.assertIsNone(z.distance)
|
|
self.assertIsNone(z.area)
|