# SPDX-License-Identifier: GPL-3.0-or-later # # This file is part of Nominatim. (https://nominatim.org) # # Copyright (C) 2025 by the Nominatim developer community. # For a full list of authors see the git log. """ Tests for running the named place searcher. """ import json import pytest import nominatim_api as napi from nominatim_api.types import SearchDetails from nominatim_api.search.db_searches import PlaceSearch from nominatim_api.search.db_search_fields import WeightedStrings, WeightedCategories, \ FieldLookup, FieldRanking, RankedTokens from nominatim_api.search.db_search_lookups import LookupAll, LookupAny, Restrict APIOPTIONS = ['search'] def run_search(apiobj, frontend, global_penalty, lookup, ranking, count=2, pcs=[], ccodes=[], quals=[], has_address=False, details=SearchDetails()): class MySearchData: penalty = global_penalty postcodes = WeightedStrings(pcs, [0.0] * len(pcs)) countries = WeightedStrings(ccodes, [0.0] * len(ccodes)) qualifiers = WeightedCategories(quals, [0.0] * len(quals)) lookups = lookup rankings = ranking housenumbers = None search = PlaceSearch(0.0, MySearchData(), count, has_address) if frontend is None: api = apiobj else: api = frontend(apiobj, options=APIOPTIONS) async def run(): async with api._async_api.begin() as conn: return await search.lookup(conn, details) results = api._loop.run_until_complete(run()) results.sort(key=lambda r: r.accuracy) return results class TestNameOnlySearches: @pytest.fixture(autouse=True) def fill_database(self, apiobj): apiobj.add_placex(place_id=100, country_code='us', centroid=(5.6, 4.3)) apiobj.add_search_name(100, names=[1, 2, 10, 11], country_code='us', centroid=(5.6, 4.3)) apiobj.add_placex(place_id=101, country_code='mx', centroid=(-10.3, 56.9)) apiobj.add_search_name(101, names=[1, 2, 20, 21], country_code='mx', centroid=(-10.3, 56.9)) @pytest.mark.parametrize('lookup_type', [LookupAll, Restrict]) @pytest.mark.parametrize('rank,res', [([10], [100, 101]), ([20], [101, 100])]) def test_lookup_all_match(self, apiobj, frontend, lookup_type, rank, res): lookup = FieldLookup('name_vector', [1, 2], lookup_type) ranking = FieldRanking('name_vector', 0.4, [RankedTokens(0.0, rank)]) results = run_search(apiobj, frontend, 0.1, [lookup], [ranking]) assert [r.place_id for r in results] == res @pytest.mark.parametrize('lookup_type', [LookupAll, Restrict]) def test_lookup_all_partial_match(self, apiobj, frontend, lookup_type): lookup = FieldLookup('name_vector', [1, 20], lookup_type) ranking = FieldRanking('name_vector', 0.4, [RankedTokens(0.0, [21])]) results = run_search(apiobj, frontend, 0.1, [lookup], [ranking]) assert len(results) == 1 assert results[0].place_id == 101 @pytest.mark.parametrize('rank,res', [([10], [100, 101]), ([20], [101, 100])]) def test_lookup_any_match(self, apiobj, frontend, rank, res): lookup = FieldLookup('name_vector', [11, 21], LookupAny) ranking = FieldRanking('name_vector', 0.4, [RankedTokens(0.0, rank)]) results = run_search(apiobj, frontend, 0.1, [lookup], [ranking]) assert [r.place_id for r in results] == res def test_lookup_any_partial_match(self, apiobj, frontend): lookup = FieldLookup('name_vector', [20], LookupAll) ranking = FieldRanking('name_vector', 0.4, [RankedTokens(0.0, [21])]) results = run_search(apiobj, frontend, 0.1, [lookup], [ranking]) assert len(results) == 1 assert results[0].place_id == 101 @pytest.mark.parametrize('cc,res', [('us', 100), ('mx', 101)]) def test_lookup_restrict_country(self, apiobj, frontend, cc, res): lookup = FieldLookup('name_vector', [1, 2], LookupAll) ranking = FieldRanking('name_vector', 0.4, [RankedTokens(0.0, [10])]) results = run_search(apiobj, frontend, 0.1, [lookup], [ranking], ccodes=[cc]) assert [r.place_id for r in results] == [res] def test_lookup_restrict_placeid(self, apiobj, frontend): lookup = FieldLookup('name_vector', [1, 2], LookupAll) ranking = FieldRanking('name_vector', 0.4, [RankedTokens(0.0, [10])]) results = run_search(apiobj, frontend, 0.1, [lookup], [ranking], details=SearchDetails(excluded=[101])) assert [r.place_id for r in results] == [100] @pytest.mark.parametrize('geom', [napi.GeometryFormat.GEOJSON, napi.GeometryFormat.KML, napi.GeometryFormat.SVG, napi.GeometryFormat.TEXT]) def test_return_geometries(self, apiobj, frontend, geom): lookup = FieldLookup('name_vector', [20], LookupAll) ranking = FieldRanking('name_vector', 0.4, [RankedTokens(0.0, [21])]) results = run_search(apiobj, frontend, 0.1, [lookup], [ranking], details=SearchDetails(geometry_output=geom)) 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, frontend, 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], LookupAll) ranking = FieldRanking('name_vector', 0.4, [RankedTokens(0.0, [21])]) results = run_search(apiobj, frontend, 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']) @pytest.mark.parametrize('wcount,rids', [(2, [100, 101]), (20000, [100])]) def test_prefer_viewbox(self, apiobj, frontend, viewbox, wcount, rids): lookup = FieldLookup('name_vector', [1, 2], LookupAll) ranking = FieldRanking('name_vector', 0.2, [RankedTokens(0.0, [21])]) api = frontend(apiobj, options=APIOPTIONS) results = run_search(api, None, 0.1, [lookup], [ranking]) assert [r.place_id for r in results] == [101, 100] results = run_search(api, None, 0.1, [lookup], [ranking], count=wcount, details=SearchDetails.from_kwargs({'viewbox': viewbox})) assert [r.place_id for r in results] == rids @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, frontend, viewbox): lookup = FieldLookup('name_vector', [1, 2], LookupAll) details = SearchDetails.from_kwargs({'viewbox': viewbox, 'bounded_viewbox': True}) results = run_search(apiobj, frontend, 0.1, [lookup], [], details=details) assert [r.place_id for r in results] == [100] def test_prefer_near(self, apiobj, frontend): lookup = FieldLookup('name_vector', [1, 2], LookupAll) ranking = FieldRanking('name_vector', 0.4, [RankedTokens(0.0, [21])]) api = frontend(apiobj, options=APIOPTIONS) results = run_search(api, None, 0.1, [lookup], [ranking]) assert [r.place_id for r in results] == [101, 100] results = run_search(api, None, 0.1, [lookup], [ranking], details=SearchDetails.from_kwargs({'near': '5.6,4.3'})) results.sort(key=lambda r: -r.importance) assert [r.place_id for r in results] == [100, 101] @pytest.mark.parametrize('radius', [0.09, 0.11]) def test_force_near(self, apiobj, frontend, radius): lookup = FieldLookup('name_vector', [1, 2], LookupAll) details = SearchDetails.from_kwargs({'near': '5.6,4.3', 'near_radius': radius}) results = run_search(apiobj, frontend, 0.1, [lookup], [], details=details) assert [r.place_id for r in results] == [100] @pytest.mark.parametrize('wcount,rids', [(2, [990, 991]), (30000, [990])]) def test_name_and_postcode(apiobj, frontend, 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=(10.3, 10.3), geometry='LINESTRING(9.995 10.3, 10.005 10.3)') apiobj.add_search_name(991, names=[111], centroid=(10.3, 10.3), 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], LookupAll) results = run_search(apiobj, frontend, 0.1, [lookup], [], pcs=['11225'], count=wcount, details=SearchDetails()) assert results assert [r.place_id for r in results] == rids 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, frontend, layer, res): lookup = FieldLookup('name_vector', [34], LookupAny) results = run_search(apiobj, frontend, 0.1, [lookup], [], details=SearchDetails(layers=layer)) assert [r.place_id for r in results] == res