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491 lines
21 KiB
Python
491 lines
21 KiB
Python
# SPDX-License-Identifier: GPL-3.0-or-later
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#
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# This file is part of Nominatim. (https://nominatim.org)
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#
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# Copyright (C) 2023 by the Nominatim developer community.
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# For a full list of authors see the git log.
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"""
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Tests for running the generic place searcher.
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"""
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import json
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import pytest
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import nominatim.api as napi
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from nominatim.api.types import SearchDetails
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from nominatim.api.search.db_searches import PlaceSearch
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from nominatim.api.search.db_search_fields import WeightedStrings, WeightedCategories,\
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FieldLookup, FieldRanking, RankedTokens
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def run_search(apiobj, global_penalty, lookup, ranking, count=2,
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hnrs=[], pcs=[], ccodes=[], quals=[],
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details=SearchDetails()):
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class MySearchData:
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penalty = global_penalty
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postcodes = WeightedStrings(pcs, [0.0] * len(pcs))
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countries = WeightedStrings(ccodes, [0.0] * len(ccodes))
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housenumbers = WeightedStrings(hnrs, [0.0] * len(hnrs))
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qualifiers = WeightedCategories(quals, [0.0] * len(quals))
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lookups = lookup
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rankings = ranking
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search = PlaceSearch(0.0, MySearchData(), count)
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async def run():
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async with apiobj.api._async_api.begin() as conn:
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return await search.lookup(conn, details)
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results = apiobj.async_to_sync(run())
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results.sort(key=lambda r: r.accuracy)
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return results
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class TestNameOnlySearches:
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@pytest.fixture(autouse=True)
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def fill_database(self, apiobj):
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apiobj.add_placex(place_id=100, country_code='us',
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centroid=(5.6, 4.3))
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apiobj.add_search_name(100, names=[1,2,10,11], country_code='us',
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centroid=(5.6, 4.3))
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apiobj.add_placex(place_id=101, country_code='mx',
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centroid=(-10.3, 56.9))
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apiobj.add_search_name(101, names=[1,2,20,21], country_code='mx',
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centroid=(-10.3, 56.9))
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@pytest.mark.parametrize('lookup_type', ['lookup_all', 'restrict'])
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@pytest.mark.parametrize('rank,res', [([10], [100, 101]),
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([20], [101, 100])])
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def test_lookup_all_match(self, apiobj, lookup_type, rank, res):
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lookup = FieldLookup('name_vector', [1,2], lookup_type)
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ranking = FieldRanking('name_vector', 0.9, [RankedTokens(0.0, rank)])
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results = run_search(apiobj, 0.1, [lookup], [ranking])
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assert [r.place_id for r in results] == res
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@pytest.mark.parametrize('lookup_type', ['lookup_all', 'restrict'])
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def test_lookup_all_partial_match(self, apiobj, lookup_type):
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lookup = FieldLookup('name_vector', [1,20], lookup_type)
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ranking = FieldRanking('name_vector', 0.9, [RankedTokens(0.0, [21])])
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results = run_search(apiobj, 0.1, [lookup], [ranking])
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assert len(results) == 1
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assert results[0].place_id == 101
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@pytest.mark.parametrize('rank,res', [([10], [100, 101]),
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([20], [101, 100])])
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def test_lookup_any_match(self, apiobj, rank, res):
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lookup = FieldLookup('name_vector', [11,21], 'lookup_any')
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ranking = FieldRanking('name_vector', 0.9, [RankedTokens(0.0, rank)])
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results = run_search(apiobj, 0.1, [lookup], [ranking])
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assert [r.place_id for r in results] == res
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def test_lookup_any_partial_match(self, apiobj):
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lookup = FieldLookup('name_vector', [20], 'lookup_all')
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ranking = FieldRanking('name_vector', 0.9, [RankedTokens(0.0, [21])])
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results = run_search(apiobj, 0.1, [lookup], [ranking])
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assert len(results) == 1
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assert results[0].place_id == 101
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@pytest.mark.parametrize('cc,res', [('us', 100), ('mx', 101)])
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def test_lookup_restrict_country(self, apiobj, cc, res):
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lookup = FieldLookup('name_vector', [1,2], 'lookup_all')
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ranking = FieldRanking('name_vector', 0.9, [RankedTokens(0.0, [10])])
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results = run_search(apiobj, 0.1, [lookup], [ranking], ccodes=[cc])
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assert [r.place_id for r in results] == [res]
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def test_lookup_restrict_placeid(self, apiobj):
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lookup = FieldLookup('name_vector', [1,2], 'lookup_all')
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ranking = FieldRanking('name_vector', 0.9, [RankedTokens(0.0, [10])])
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results = run_search(apiobj, 0.1, [lookup], [ranking],
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details=SearchDetails(excluded=[101]))
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assert [r.place_id for r in results] == [100]
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@pytest.mark.parametrize('geom', [napi.GeometryFormat.GEOJSON,
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napi.GeometryFormat.KML,
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napi.GeometryFormat.SVG,
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napi.GeometryFormat.TEXT])
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def test_return_geometries(self, apiobj, geom):
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lookup = FieldLookup('name_vector', [20], 'lookup_all')
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ranking = FieldRanking('name_vector', 0.9, [RankedTokens(0.0, [21])])
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results = run_search(apiobj, 0.1, [lookup], [ranking],
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details=SearchDetails(geometry_output=geom))
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assert geom.name.lower() in results[0].geometry
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@pytest.mark.parametrize('factor,npoints', [(0.0, 3), (1.0, 2)])
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def test_return_simplified_geometry(self, apiobj, factor, npoints):
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apiobj.add_placex(place_id=333, country_code='us',
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centroid=(9.0, 9.0),
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geometry='LINESTRING(8.9 9.0, 9.0 9.0, 9.1 9.0)')
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apiobj.add_search_name(333, names=[55], country_code='us',
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centroid=(5.6, 4.3))
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lookup = FieldLookup('name_vector', [55], 'lookup_all')
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ranking = FieldRanking('name_vector', 0.9, [RankedTokens(0.0, [21])])
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results = run_search(apiobj, 0.1, [lookup], [ranking],
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details=SearchDetails(geometry_output=napi.GeometryFormat.GEOJSON,
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geometry_simplification=factor))
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assert len(results) == 1
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result = results[0]
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geom = json.loads(result.geometry['geojson'])
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assert result.place_id == 333
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assert len(geom['coordinates']) == npoints
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@pytest.mark.parametrize('viewbox', ['5.0,4.0,6.0,5.0', '5.7,4.0,6.0,5.0'])
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@pytest.mark.parametrize('wcount,rids', [(2, [100, 101]), (20000, [100])])
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def test_prefer_viewbox(self, apiobj, viewbox, wcount, rids):
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lookup = FieldLookup('name_vector', [1, 2], 'lookup_all')
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ranking = FieldRanking('name_vector', 0.9, [RankedTokens(0.0, [21])])
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results = run_search(apiobj, 0.1, [lookup], [ranking])
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assert [r.place_id for r in results] == [101, 100]
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results = run_search(apiobj, 0.1, [lookup], [ranking], count=wcount,
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details=SearchDetails.from_kwargs({'viewbox': viewbox}))
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assert [r.place_id for r in results] == rids
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@pytest.mark.parametrize('viewbox', ['5.0,4.0,6.0,5.0', '5.55,4.27,5.62,4.31'])
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def test_force_viewbox(self, apiobj, viewbox):
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lookup = FieldLookup('name_vector', [1, 2], 'lookup_all')
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details=SearchDetails.from_kwargs({'viewbox': viewbox,
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'bounded_viewbox': True})
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results = run_search(apiobj, 0.1, [lookup], [], details=details)
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assert [r.place_id for r in results] == [100]
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def test_prefer_near(self, apiobj):
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lookup = FieldLookup('name_vector', [1, 2], 'lookup_all')
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ranking = FieldRanking('name_vector', 0.9, [RankedTokens(0.0, [21])])
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results = run_search(apiobj, 0.1, [lookup], [ranking])
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assert [r.place_id for r in results] == [101, 100]
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results = run_search(apiobj, 0.1, [lookup], [ranking],
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details=SearchDetails.from_kwargs({'near': '5.6,4.3'}))
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results.sort(key=lambda r: -r.importance)
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assert [r.place_id for r in results] == [100, 101]
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@pytest.mark.parametrize('radius', [0.09, 0.11])
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def test_force_near(self, apiobj, radius):
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lookup = FieldLookup('name_vector', [1, 2], 'lookup_all')
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details=SearchDetails.from_kwargs({'near': '5.6,4.3',
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'near_radius': radius})
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results = run_search(apiobj, 0.1, [lookup], [], details=details)
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assert [r.place_id for r in results] == [100]
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class TestStreetWithHousenumber:
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@pytest.fixture(autouse=True)
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def fill_database(self, apiobj):
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apiobj.add_placex(place_id=1, class_='place', type='house',
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parent_place_id=1000,
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housenumber='20 a', country_code='es')
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apiobj.add_placex(place_id=2, class_='place', type='house',
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parent_place_id=1000,
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housenumber='21;22', country_code='es')
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apiobj.add_placex(place_id=1000, class_='highway', type='residential',
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rank_search=26, rank_address=26,
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country_code='es')
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apiobj.add_search_name(1000, names=[1,2,10,11],
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search_rank=26, address_rank=26,
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country_code='es')
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apiobj.add_placex(place_id=91, class_='place', type='house',
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parent_place_id=2000,
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housenumber='20', country_code='pt')
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apiobj.add_placex(place_id=92, class_='place', type='house',
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parent_place_id=2000,
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housenumber='22', country_code='pt')
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apiobj.add_placex(place_id=93, class_='place', type='house',
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parent_place_id=2000,
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housenumber='24', country_code='pt')
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apiobj.add_placex(place_id=2000, class_='highway', type='residential',
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rank_search=26, rank_address=26,
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country_code='pt')
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apiobj.add_search_name(2000, names=[1,2,20,21],
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search_rank=26, address_rank=26,
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country_code='pt')
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@pytest.mark.parametrize('hnr,res', [('20', [91, 1]), ('20 a', [1]),
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('21', [2]), ('22', [2, 92]),
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('24', [93]), ('25', [])])
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def test_lookup_by_single_housenumber(self, apiobj, hnr, res):
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lookup = FieldLookup('name_vector', [1,2], 'lookup_all')
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ranking = FieldRanking('name_vector', 0.3, [RankedTokens(0.0, [10])])
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results = run_search(apiobj, 0.1, [lookup], [ranking], hnrs=[hnr])
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assert [r.place_id for r in results] == res + [1000, 2000]
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@pytest.mark.parametrize('cc,res', [('es', [2, 1000]), ('pt', [92, 2000])])
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def test_lookup_with_country_restriction(self, apiobj, cc, res):
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lookup = FieldLookup('name_vector', [1,2], 'lookup_all')
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ranking = FieldRanking('name_vector', 0.3, [RankedTokens(0.0, [10])])
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results = run_search(apiobj, 0.1, [lookup], [ranking], hnrs=['22'],
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ccodes=[cc])
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assert [r.place_id for r in results] == res
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def test_lookup_exclude_housenumber_placeid(self, apiobj):
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lookup = FieldLookup('name_vector', [1,2], 'lookup_all')
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ranking = FieldRanking('name_vector', 0.3, [RankedTokens(0.0, [10])])
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results = run_search(apiobj, 0.1, [lookup], [ranking], hnrs=['22'],
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details=SearchDetails(excluded=[92]))
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assert [r.place_id for r in results] == [2, 1000, 2000]
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def test_lookup_exclude_street_placeid(self, apiobj):
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lookup = FieldLookup('name_vector', [1,2], 'lookup_all')
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ranking = FieldRanking('name_vector', 0.3, [RankedTokens(0.0, [10])])
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results = run_search(apiobj, 0.1, [lookup], [ranking], hnrs=['22'],
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details=SearchDetails(excluded=[1000]))
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assert [r.place_id for r in results] == [2, 92, 2000]
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@pytest.mark.parametrize('geom', [napi.GeometryFormat.GEOJSON,
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napi.GeometryFormat.KML,
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napi.GeometryFormat.SVG,
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napi.GeometryFormat.TEXT])
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def test_return_geometries(self, apiobj, geom):
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lookup = FieldLookup('name_vector', [1, 2], 'lookup_all')
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results = run_search(apiobj, 0.1, [lookup], [], hnrs=['20', '21', '22'],
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details=SearchDetails(geometry_output=geom))
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assert results
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assert all(geom.name.lower() in r.geometry for r in results)
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def test_very_large_housenumber(apiobj):
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apiobj.add_placex(place_id=93, class_='place', type='house',
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parent_place_id=2000,
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housenumber='2467463524544', country_code='pt')
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apiobj.add_placex(place_id=2000, class_='highway', type='residential',
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rank_search=26, rank_address=26,
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country_code='pt')
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apiobj.add_search_name(2000, names=[1,2],
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search_rank=26, address_rank=26,
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country_code='pt')
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lookup = FieldLookup('name_vector', [1, 2], 'lookup_all')
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results = run_search(apiobj, 0.1, [lookup], [], hnrs=['2467463524544'],
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details=SearchDetails())
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assert results
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assert [r.place_id for r in results] == [93, 2000]
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@pytest.mark.parametrize('wcount,rids', [(2, [990, 991]), (30000, [990])])
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def test_name_and_postcode(apiobj, wcount, rids):
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apiobj.add_placex(place_id=990, class_='highway', type='service',
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rank_search=27, rank_address=27,
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postcode='11225',
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centroid=(10.0, 10.0),
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geometry='LINESTRING(9.995 10, 10.005 10)')
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apiobj.add_search_name(990, names=[111], centroid=(10.0, 10.0),
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search_rank=27, address_rank=27)
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apiobj.add_placex(place_id=991, class_='highway', type='service',
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rank_search=27, rank_address=27,
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postcode='11221',
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centroid=(10.1, 10.1),
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geometry='LINESTRING(9.995 10.1, 10.005 10.1)')
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apiobj.add_search_name(991, names=[111], centroid=(10.1, 10.1),
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search_rank=27, address_rank=27)
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apiobj.add_postcode(place_id=100, country_code='ch', postcode='11225',
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geometry='POINT(10 10)')
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lookup = FieldLookup('name_vector', [111], 'lookup_all')
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results = run_search(apiobj, 0.1, [lookup], [], pcs=['11225'], count=wcount,
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details=SearchDetails())
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assert results
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assert [r.place_id for r in results] == rids
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class TestInterpolations:
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@pytest.fixture(autouse=True)
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def fill_database(self, apiobj):
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apiobj.add_placex(place_id=990, class_='highway', type='service',
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rank_search=27, rank_address=27,
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centroid=(10.0, 10.0),
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geometry='LINESTRING(9.995 10, 10.005 10)')
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apiobj.add_search_name(990, names=[111],
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search_rank=27, address_rank=27)
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apiobj.add_placex(place_id=991, class_='place', type='house',
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parent_place_id=990,
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rank_search=30, rank_address=30,
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housenumber='23',
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centroid=(10.0, 10.00002))
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apiobj.add_osmline(place_id=992,
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parent_place_id=990,
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startnumber=21, endnumber=29, step=2,
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centroid=(10.0, 10.00001),
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geometry='LINESTRING(9.995 10.00001, 10.005 10.00001)')
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@pytest.mark.parametrize('hnr,res', [('21', [992]), ('22', []), ('23', [991])])
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def test_lookup_housenumber(self, apiobj, hnr, res):
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lookup = FieldLookup('name_vector', [111], 'lookup_all')
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results = run_search(apiobj, 0.1, [lookup], [], hnrs=[hnr])
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assert [r.place_id for r in results] == res + [990]
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@pytest.mark.parametrize('geom', [napi.GeometryFormat.GEOJSON,
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napi.GeometryFormat.KML,
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napi.GeometryFormat.SVG,
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napi.GeometryFormat.TEXT])
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def test_osmline_with_geometries(self, apiobj, geom):
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lookup = FieldLookup('name_vector', [111], 'lookup_all')
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results = run_search(apiobj, 0.1, [lookup], [], hnrs=['21'],
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details=SearchDetails(geometry_output=geom))
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assert results[0].place_id == 992
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assert geom.name.lower() in results[0].geometry
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class TestTiger:
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@pytest.fixture(autouse=True)
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def fill_database(self, apiobj):
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apiobj.add_placex(place_id=990, class_='highway', type='service',
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rank_search=27, rank_address=27,
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country_code='us',
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centroid=(10.0, 10.0),
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geometry='LINESTRING(9.995 10, 10.005 10)')
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apiobj.add_search_name(990, names=[111], country_code='us',
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search_rank=27, address_rank=27)
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apiobj.add_placex(place_id=991, class_='place', type='house',
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parent_place_id=990,
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rank_search=30, rank_address=30,
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housenumber='23',
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country_code='us',
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centroid=(10.0, 10.00002))
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apiobj.add_tiger(place_id=992,
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parent_place_id=990,
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startnumber=21, endnumber=29, step=2,
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centroid=(10.0, 10.00001),
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geometry='LINESTRING(9.995 10.00001, 10.005 10.00001)')
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@pytest.mark.parametrize('hnr,res', [('21', [992]), ('22', []), ('23', [991])])
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def test_lookup_housenumber(self, apiobj, hnr, res):
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lookup = FieldLookup('name_vector', [111], 'lookup_all')
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|
|
|
results = run_search(apiobj, 0.1, [lookup], [], hnrs=[hnr])
|
|
|
|
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)
|
|
def fill_database(self, apiobj):
|
|
apiobj.add_placex(place_id=223, class_='place', type='house',
|
|
housenumber='1',
|
|
rank_address=30,
|
|
rank_search=30)
|
|
apiobj.add_search_name(223, names=[34],
|
|
importance=0.0009,
|
|
address_rank=30, search_rank=30)
|
|
apiobj.add_placex(place_id=224, class_='amenity', type='toilet',
|
|
rank_address=30,
|
|
rank_search=30)
|
|
apiobj.add_search_name(224, names=[34],
|
|
importance=0.0008,
|
|
address_rank=30, search_rank=30)
|
|
apiobj.add_placex(place_id=225, class_='man_made', type='tower',
|
|
rank_address=0,
|
|
rank_search=30)
|
|
apiobj.add_search_name(225, names=[34],
|
|
importance=0.0007,
|
|
address_rank=0, search_rank=30)
|
|
apiobj.add_placex(place_id=226, class_='railway', type='station',
|
|
rank_address=0,
|
|
rank_search=30)
|
|
apiobj.add_search_name(226, names=[34],
|
|
importance=0.0006,
|
|
address_rank=0, search_rank=30)
|
|
apiobj.add_placex(place_id=227, class_='natural', type='cave',
|
|
rank_address=0,
|
|
rank_search=30)
|
|
apiobj.add_search_name(227, names=[34],
|
|
importance=0.0005,
|
|
address_rank=0, search_rank=30)
|
|
|
|
|
|
@pytest.mark.parametrize('layer,res', [(napi.DataLayer.ADDRESS, [223]),
|
|
(napi.DataLayer.POI, [224]),
|
|
(napi.DataLayer.ADDRESS | napi.DataLayer.POI, [223, 224]),
|
|
(napi.DataLayer.MANMADE, [225]),
|
|
(napi.DataLayer.RAILWAY, [226]),
|
|
(napi.DataLayer.NATURAL, [227]),
|
|
(napi.DataLayer.MANMADE | napi.DataLayer.NATURAL, [225, 227]),
|
|
(napi.DataLayer.MANMADE | napi.DataLayer.RAILWAY, [225, 226])])
|
|
def test_layers_rank30(self, apiobj, layer, res):
|
|
lookup = FieldLookup('name_vector', [34], 'lookup_any')
|
|
|
|
results = run_search(apiobj, 0.1, [lookup], [],
|
|
details=SearchDetails(layers=layer))
|
|
|
|
assert [r.place_id for r in results] == res
|