"""
Tests for running the generic place searcher.
"""
+import json
+
import pytest
import nominatim.api as napi
assert geom.name.lower() in results[0].geometry
+ @pytest.mark.parametrize('factor,npoints', [(0.0, 3), (1.0, 2)])
+ def test_return_simplified_geometry(self, apiobj, factor, npoints):
+ apiobj.add_placex(place_id=333, country_code='us',
+ centroid=(9.0, 9.0),
+ geometry='LINESTRING(8.9 9.0, 9.0 9.0, 9.1 9.0)')
+ apiobj.add_search_name(333, names=[55], country_code='us',
+ centroid=(5.6, 4.3))
+
+ lookup = FieldLookup('name_vector', [55], 'lookup_all')
+ ranking = FieldRanking('name_vector', 0.9, [RankedTokens(0.0, [21])])
+
+ results = run_search(apiobj, 0.1, [lookup], [ranking],
+ details=SearchDetails(geometry_output=napi.GeometryFormat.GEOJSON,
+ geometry_simplification=factor))
+
+ assert len(results) == 1
+ result = results[0]
+ geom = json.loads(result.geometry['geojson'])
+
+ assert result.place_id == 333
+ assert len(geom['coordinates']) == npoints
+
+
@pytest.mark.parametrize('viewbox', ['5.0,4.0,6.0,5.0', '5.7,4.0,6.0,5.0'])
- def test_prefer_viewbox(self, apiobj, viewbox):
+ @pytest.mark.parametrize('wcount,rids', [(2, [100, 101]), (20000, [100])])
+ def test_prefer_viewbox(self, apiobj, viewbox, wcount, rids):
lookup = FieldLookup('name_vector', [1, 2], 'lookup_all')
- ranking = FieldRanking('name_vector', 0.9, [RankedTokens(0.0, [21])])
+ ranking = FieldRanking('name_vector', 0.2, [RankedTokens(0.0, [21])])
results = run_search(apiobj, 0.1, [lookup], [ranking])
assert [r.place_id for r in results] == [101, 100]
- results = run_search(apiobj, 0.1, [lookup], [ranking],
+ results = run_search(apiobj, 0.1, [lookup], [ranking], count=wcount,
details=SearchDetails.from_kwargs({'viewbox': viewbox}))
- assert [r.place_id for r in results] == [100, 101]
+ assert [r.place_id for r in results] == rids
- def test_force_viewbox(self, apiobj):
+ @pytest.mark.parametrize('viewbox', ['5.0,4.0,6.0,5.0', '5.55,4.27,5.62,4.31'])
+ def test_force_viewbox(self, apiobj, viewbox):
lookup = FieldLookup('name_vector', [1, 2], 'lookup_all')
- details=SearchDetails.from_kwargs({'viewbox': '5.0,4.0,6.0,5.0',
+ details=SearchDetails.from_kwargs({'viewbox': viewbox,
'bounded_viewbox': True})
results = run_search(apiobj, 0.1, [lookup], [], details=details)
assert [r.place_id for r in results] == [100, 101]
- def test_force_near(self, apiobj):
+ @pytest.mark.parametrize('radius', [0.09, 0.11])
+ def test_force_near(self, apiobj, radius):
lookup = FieldLookup('name_vector', [1, 2], 'lookup_all')
details=SearchDetails.from_kwargs({'near': '5.6,4.3',
- 'near_radius': 0.11})
+ 'near_radius': radius})
results = run_search(apiobj, 0.1, [lookup], [], details=details)
assert [r.place_id for r in results] == [2, 92, 2000]
+ def test_lookup_only_house_qualifier(self, apiobj):
+ lookup = FieldLookup('name_vector', [1,2], 'lookup_all')
+ ranking = FieldRanking('name_vector', 0.3, [RankedTokens(0.0, [10])])
+
+ results = run_search(apiobj, 0.1, [lookup], [ranking], hnrs=['22'],
+ quals=[('place', 'house')])
+
+ assert [r.place_id for r in results] == [2, 92]
+
+
+ def test_lookup_only_street_qualifier(self, apiobj):
+ lookup = FieldLookup('name_vector', [1,2], 'lookup_all')
+ ranking = FieldRanking('name_vector', 0.3, [RankedTokens(0.0, [10])])
+
+ results = run_search(apiobj, 0.1, [lookup], [ranking], hnrs=['22'],
+ quals=[('highway', 'residential')])
+
+ assert [r.place_id for r in results] == [1000, 2000]
+
+
+ @pytest.mark.parametrize('rank,found', [(26, True), (27, False), (30, False)])
+ def test_lookup_min_rank(self, apiobj, rank, found):
+ lookup = FieldLookup('name_vector', [1,2], 'lookup_all')
+ ranking = FieldRanking('name_vector', 0.3, [RankedTokens(0.0, [10])])
+
+ results = run_search(apiobj, 0.1, [lookup], [ranking], hnrs=['22'],
+ details=SearchDetails(min_rank=rank))
+
+ assert [r.place_id for r in results] == ([2, 92, 1000, 2000] if found else [2, 92])
+
+
@pytest.mark.parametrize('geom', [napi.GeometryFormat.GEOJSON,
napi.GeometryFormat.KML,
napi.GeometryFormat.SVG,
assert all(geom.name.lower() in r.geometry for r in results)
+def test_very_large_housenumber(apiobj):
+ apiobj.add_placex(place_id=93, class_='place', type='house',
+ parent_place_id=2000,
+ housenumber='2467463524544', country_code='pt')
+ apiobj.add_placex(place_id=2000, class_='highway', type='residential',
+ rank_search=26, rank_address=26,
+ country_code='pt')
+ apiobj.add_search_name(2000, names=[1,2],
+ search_rank=26, address_rank=26,
+ country_code='pt')
+
+ lookup = FieldLookup('name_vector', [1, 2], 'lookup_all')
+
+ results = run_search(apiobj, 0.1, [lookup], [], hnrs=['2467463524544'],
+ details=SearchDetails())
+
+ assert results
+ assert [r.place_id for r in results] == [93, 2000]
+
+
+@pytest.mark.parametrize('wcount,rids', [(2, [990, 991]), (30000, [990])])
+def test_name_and_postcode(apiobj, wcount, rids):
+ apiobj.add_placex(place_id=990, class_='highway', type='service',
+ rank_search=27, rank_address=27,
+ postcode='11225',
+ centroid=(10.0, 10.0),
+ geometry='LINESTRING(9.995 10, 10.005 10)')
+ apiobj.add_search_name(990, names=[111], centroid=(10.0, 10.0),
+ search_rank=27, address_rank=27)
+ apiobj.add_placex(place_id=991, class_='highway', type='service',
+ rank_search=27, rank_address=27,
+ postcode='11221',
+ centroid=(10.1, 10.1),
+ geometry='LINESTRING(9.995 10.1, 10.005 10.1)')
+ apiobj.add_search_name(991, names=[111], centroid=(10.1, 10.1),
+ search_rank=27, address_rank=27)
+ apiobj.add_postcode(place_id=100, country_code='ch', postcode='11225',
+ geometry='POINT(10 10)')
+
+ lookup = FieldLookup('name_vector', [111], 'lookup_all')
+
+ results = run_search(apiobj, 0.1, [lookup], [], pcs=['11225'], count=wcount,
+ details=SearchDetails())
+
+ assert results
+ assert [r.place_id for r in results] == rids
+
+
class TestInterpolations:
@pytest.fixture(autouse=True)
assert [r.place_id for r in results] == res + [990]
+ @pytest.mark.parametrize('geom', [napi.GeometryFormat.GEOJSON,
+ napi.GeometryFormat.KML,
+ napi.GeometryFormat.SVG,
+ napi.GeometryFormat.TEXT])
+ def test_osmline_with_geometries(self, apiobj, geom):
+ lookup = FieldLookup('name_vector', [111], 'lookup_all')
+
+ results = run_search(apiobj, 0.1, [lookup], [], hnrs=['21'],
+ details=SearchDetails(geometry_output=geom))
+
+ assert results[0].place_id == 992
+ assert geom.name.lower() in results[0].geometry
+
+
+
class TestTiger:
@pytest.fixture(autouse=True)
assert [r.place_id for r in results] == res + [990]
+ @pytest.mark.parametrize('geom', [napi.GeometryFormat.GEOJSON,
+ napi.GeometryFormat.KML,
+ napi.GeometryFormat.SVG,
+ napi.GeometryFormat.TEXT])
+ def test_tiger_with_geometries(self, apiobj, geom):
+ lookup = FieldLookup('name_vector', [111], 'lookup_all')
+
+ results = run_search(apiobj, 0.1, [lookup], [], hnrs=['21'],
+ details=SearchDetails(geometry_output=geom))
+
+ assert results[0].place_id == 992
+ assert geom.name.lower() in results[0].geometry
+
+
class TestLayersRank30:
@pytest.fixture(autouse=True)
projects / nominatim.git / blobdiff