1 # SPDX-License-Identifier: GPL-3.0-or-later
3 # This file is part of Nominatim. (https://nominatim.org)
5 # Copyright (C) 2023 by the Nominatim developer community.
6 # For a full list of authors see the git log.
8 Tests for running the generic place searcher.
14 import nominatim.api as napi
15 from nominatim.api.types import SearchDetails
16 from nominatim.api.search.db_searches import PlaceSearch
17 from nominatim.api.search.db_search_fields import WeightedStrings, WeightedCategories,\
18 FieldLookup, FieldRanking, RankedTokens
19 from nominatim.api.search.db_search_lookups import LookupAll, LookupAny, Restrict
21 APIOPTIONS = ['search']
23 def run_search(apiobj, frontend, global_penalty, lookup, ranking, count=2,
24 hnrs=[], pcs=[], ccodes=[], quals=[],
25 details=SearchDetails()):
27 penalty = global_penalty
28 postcodes = WeightedStrings(pcs, [0.0] * len(pcs))
29 countries = WeightedStrings(ccodes, [0.0] * len(ccodes))
30 housenumbers = WeightedStrings(hnrs, [0.0] * len(hnrs))
31 qualifiers = WeightedCategories(quals, [0.0] * len(quals))
35 search = PlaceSearch(0.0, MySearchData(), count)
40 api = frontend(apiobj, options=APIOPTIONS)
43 async with api._async_api.begin() as conn:
44 return await search.lookup(conn, details)
46 results = api._loop.run_until_complete(run())
47 results.sort(key=lambda r: r.accuracy)
52 class TestNameOnlySearches:
54 @pytest.fixture(autouse=True)
55 def fill_database(self, apiobj):
56 apiobj.add_placex(place_id=100, country_code='us',
58 apiobj.add_search_name(100, names=[1,2,10,11], country_code='us',
60 apiobj.add_placex(place_id=101, country_code='mx',
61 centroid=(-10.3, 56.9))
62 apiobj.add_search_name(101, names=[1,2,20,21], country_code='mx',
63 centroid=(-10.3, 56.9))
66 @pytest.mark.parametrize('lookup_type', [LookupAll, Restrict])
67 @pytest.mark.parametrize('rank,res', [([10], [100, 101]),
69 def test_lookup_all_match(self, apiobj, frontend, lookup_type, rank, res):
70 lookup = FieldLookup('name_vector', [1,2], lookup_type)
71 ranking = FieldRanking('name_vector', 0.9, [RankedTokens(0.0, rank)])
73 results = run_search(apiobj, frontend, 0.1, [lookup], [ranking])
75 assert [r.place_id for r in results] == res
78 @pytest.mark.parametrize('lookup_type', [LookupAll, Restrict])
79 def test_lookup_all_partial_match(self, apiobj, frontend, lookup_type):
80 lookup = FieldLookup('name_vector', [1,20], lookup_type)
81 ranking = FieldRanking('name_vector', 0.9, [RankedTokens(0.0, [21])])
83 results = run_search(apiobj, frontend, 0.1, [lookup], [ranking])
85 assert len(results) == 1
86 assert results[0].place_id == 101
88 @pytest.mark.parametrize('rank,res', [([10], [100, 101]),
90 def test_lookup_any_match(self, apiobj, frontend, rank, res):
91 lookup = FieldLookup('name_vector', [11,21], LookupAny)
92 ranking = FieldRanking('name_vector', 0.9, [RankedTokens(0.0, rank)])
94 results = run_search(apiobj, frontend, 0.1, [lookup], [ranking])
96 assert [r.place_id for r in results] == res
99 def test_lookup_any_partial_match(self, apiobj, frontend):
100 lookup = FieldLookup('name_vector', [20], LookupAll)
101 ranking = FieldRanking('name_vector', 0.9, [RankedTokens(0.0, [21])])
103 results = run_search(apiobj, frontend, 0.1, [lookup], [ranking])
105 assert len(results) == 1
106 assert results[0].place_id == 101
109 @pytest.mark.parametrize('cc,res', [('us', 100), ('mx', 101)])
110 def test_lookup_restrict_country(self, apiobj, frontend, cc, res):
111 lookup = FieldLookup('name_vector', [1,2], LookupAll)
112 ranking = FieldRanking('name_vector', 0.9, [RankedTokens(0.0, [10])])
114 results = run_search(apiobj, frontend, 0.1, [lookup], [ranking], ccodes=[cc])
116 assert [r.place_id for r in results] == [res]
119 def test_lookup_restrict_placeid(self, apiobj, frontend):
120 lookup = FieldLookup('name_vector', [1,2], LookupAll)
121 ranking = FieldRanking('name_vector', 0.9, [RankedTokens(0.0, [10])])
123 results = run_search(apiobj, frontend, 0.1, [lookup], [ranking],
124 details=SearchDetails(excluded=[101]))
126 assert [r.place_id for r in results] == [100]
129 @pytest.mark.parametrize('geom', [napi.GeometryFormat.GEOJSON,
130 napi.GeometryFormat.KML,
131 napi.GeometryFormat.SVG,
132 napi.GeometryFormat.TEXT])
133 def test_return_geometries(self, apiobj, frontend, geom):
134 lookup = FieldLookup('name_vector', [20], LookupAll)
135 ranking = FieldRanking('name_vector', 0.9, [RankedTokens(0.0, [21])])
137 results = run_search(apiobj, frontend, 0.1, [lookup], [ranking],
138 details=SearchDetails(geometry_output=geom))
140 assert geom.name.lower() in results[0].geometry
143 @pytest.mark.parametrize('factor,npoints', [(0.0, 3), (1.0, 2)])
144 def test_return_simplified_geometry(self, apiobj, frontend, factor, npoints):
145 apiobj.add_placex(place_id=333, country_code='us',
147 geometry='LINESTRING(8.9 9.0, 9.0 9.0, 9.1 9.0)')
148 apiobj.add_search_name(333, names=[55], country_code='us',
151 lookup = FieldLookup('name_vector', [55], LookupAll)
152 ranking = FieldRanking('name_vector', 0.9, [RankedTokens(0.0, [21])])
154 results = run_search(apiobj, frontend, 0.1, [lookup], [ranking],
155 details=SearchDetails(geometry_output=napi.GeometryFormat.GEOJSON,
156 geometry_simplification=factor))
158 assert len(results) == 1
160 geom = json.loads(result.geometry['geojson'])
162 assert result.place_id == 333
163 assert len(geom['coordinates']) == npoints
166 @pytest.mark.parametrize('viewbox', ['5.0,4.0,6.0,5.0', '5.7,4.0,6.0,5.0'])
167 @pytest.mark.parametrize('wcount,rids', [(2, [100, 101]), (20000, [100])])
168 def test_prefer_viewbox(self, apiobj, frontend, viewbox, wcount, rids):
169 lookup = FieldLookup('name_vector', [1, 2], LookupAll)
170 ranking = FieldRanking('name_vector', 0.2, [RankedTokens(0.0, [21])])
172 api = frontend(apiobj, options=APIOPTIONS)
173 results = run_search(api, None, 0.1, [lookup], [ranking])
174 assert [r.place_id for r in results] == [101, 100]
176 results = run_search(api, None, 0.1, [lookup], [ranking], count=wcount,
177 details=SearchDetails.from_kwargs({'viewbox': viewbox}))
178 assert [r.place_id for r in results] == rids
181 @pytest.mark.parametrize('viewbox', ['5.0,4.0,6.0,5.0', '5.55,4.27,5.62,4.31'])
182 def test_force_viewbox(self, apiobj, frontend, viewbox):
183 lookup = FieldLookup('name_vector', [1, 2], LookupAll)
185 details=SearchDetails.from_kwargs({'viewbox': viewbox,
186 'bounded_viewbox': True})
188 results = run_search(apiobj, frontend, 0.1, [lookup], [], details=details)
189 assert [r.place_id for r in results] == [100]
192 def test_prefer_near(self, apiobj, frontend):
193 lookup = FieldLookup('name_vector', [1, 2], LookupAll)
194 ranking = FieldRanking('name_vector', 0.9, [RankedTokens(0.0, [21])])
196 api = frontend(apiobj, options=APIOPTIONS)
197 results = run_search(api, None, 0.1, [lookup], [ranking])
198 assert [r.place_id for r in results] == [101, 100]
200 results = run_search(api, None, 0.1, [lookup], [ranking],
201 details=SearchDetails.from_kwargs({'near': '5.6,4.3'}))
202 results.sort(key=lambda r: -r.importance)
203 assert [r.place_id for r in results] == [100, 101]
206 @pytest.mark.parametrize('radius', [0.09, 0.11])
207 def test_force_near(self, apiobj, frontend, radius):
208 lookup = FieldLookup('name_vector', [1, 2], LookupAll)
210 details=SearchDetails.from_kwargs({'near': '5.6,4.3',
211 'near_radius': radius})
213 results = run_search(apiobj, frontend, 0.1, [lookup], [], details=details)
215 assert [r.place_id for r in results] == [100]
218 class TestStreetWithHousenumber:
220 @pytest.fixture(autouse=True)
221 def fill_database(self, apiobj):
222 apiobj.add_placex(place_id=1, class_='place', type='house',
223 parent_place_id=1000,
224 housenumber='20 a', country_code='es')
225 apiobj.add_placex(place_id=2, class_='place', type='house',
226 parent_place_id=1000,
227 housenumber='21;22', country_code='es')
228 apiobj.add_placex(place_id=1000, class_='highway', type='residential',
229 rank_search=26, rank_address=26,
231 apiobj.add_search_name(1000, names=[1,2,10,11],
232 search_rank=26, address_rank=26,
234 apiobj.add_placex(place_id=91, class_='place', type='house',
235 parent_place_id=2000,
236 housenumber='20', country_code='pt')
237 apiobj.add_placex(place_id=92, class_='place', type='house',
238 parent_place_id=2000,
239 housenumber='22', country_code='pt')
240 apiobj.add_placex(place_id=93, class_='place', type='house',
241 parent_place_id=2000,
242 housenumber='24', country_code='pt')
243 apiobj.add_placex(place_id=2000, class_='highway', type='residential',
244 rank_search=26, rank_address=26,
246 apiobj.add_search_name(2000, names=[1,2,20,21],
247 search_rank=26, address_rank=26,
251 @pytest.mark.parametrize('hnr,res', [('20', [91, 1]), ('20 a', [1]),
252 ('21', [2]), ('22', [2, 92]),
253 ('24', [93]), ('25', [])])
254 def test_lookup_by_single_housenumber(self, apiobj, frontend, hnr, res):
255 lookup = FieldLookup('name_vector', [1,2], LookupAll)
256 ranking = FieldRanking('name_vector', 0.3, [RankedTokens(0.0, [10])])
258 results = run_search(apiobj, frontend, 0.1, [lookup], [ranking], hnrs=[hnr])
260 assert [r.place_id for r in results] == res + [1000, 2000]
263 @pytest.mark.parametrize('cc,res', [('es', [2, 1000]), ('pt', [92, 2000])])
264 def test_lookup_with_country_restriction(self, apiobj, frontend, cc, res):
265 lookup = FieldLookup('name_vector', [1,2], LookupAll)
266 ranking = FieldRanking('name_vector', 0.3, [RankedTokens(0.0, [10])])
268 results = run_search(apiobj, frontend, 0.1, [lookup], [ranking], hnrs=['22'],
271 assert [r.place_id for r in results] == res
274 def test_lookup_exclude_housenumber_placeid(self, apiobj, frontend):
275 lookup = FieldLookup('name_vector', [1,2], LookupAll)
276 ranking = FieldRanking('name_vector', 0.3, [RankedTokens(0.0, [10])])
278 results = run_search(apiobj, frontend, 0.1, [lookup], [ranking], hnrs=['22'],
279 details=SearchDetails(excluded=[92]))
281 assert [r.place_id for r in results] == [2, 1000, 2000]
284 def test_lookup_exclude_street_placeid(self, apiobj, frontend):
285 lookup = FieldLookup('name_vector', [1,2], LookupAll)
286 ranking = FieldRanking('name_vector', 0.3, [RankedTokens(0.0, [10])])
288 results = run_search(apiobj, frontend, 0.1, [lookup], [ranking], hnrs=['22'],
289 details=SearchDetails(excluded=[1000]))
291 assert [r.place_id for r in results] == [2, 92, 2000]
294 def test_lookup_only_house_qualifier(self, apiobj, frontend):
295 lookup = FieldLookup('name_vector', [1,2], LookupAll)
296 ranking = FieldRanking('name_vector', 0.3, [RankedTokens(0.0, [10])])
298 results = run_search(apiobj, frontend, 0.1, [lookup], [ranking], hnrs=['22'],
299 quals=[('place', 'house')])
301 assert [r.place_id for r in results] == [2, 92]
304 def test_lookup_only_street_qualifier(self, apiobj, frontend):
305 lookup = FieldLookup('name_vector', [1,2], LookupAll)
306 ranking = FieldRanking('name_vector', 0.3, [RankedTokens(0.0, [10])])
308 results = run_search(apiobj, frontend, 0.1, [lookup], [ranking], hnrs=['22'],
309 quals=[('highway', 'residential')])
311 assert [r.place_id for r in results] == [1000, 2000]
314 @pytest.mark.parametrize('rank,found', [(26, True), (27, False), (30, False)])
315 def test_lookup_min_rank(self, apiobj, frontend, rank, found):
316 lookup = FieldLookup('name_vector', [1,2], LookupAll)
317 ranking = FieldRanking('name_vector', 0.3, [RankedTokens(0.0, [10])])
319 results = run_search(apiobj, frontend, 0.1, [lookup], [ranking], hnrs=['22'],
320 details=SearchDetails(min_rank=rank))
322 assert [r.place_id for r in results] == ([2, 92, 1000, 2000] if found else [2, 92])
325 @pytest.mark.parametrize('geom', [napi.GeometryFormat.GEOJSON,
326 napi.GeometryFormat.KML,
327 napi.GeometryFormat.SVG,
328 napi.GeometryFormat.TEXT])
329 def test_return_geometries(self, apiobj, frontend, geom):
330 lookup = FieldLookup('name_vector', [1, 2], LookupAll)
332 results = run_search(apiobj, frontend, 0.1, [lookup], [], hnrs=['20', '21', '22'],
333 details=SearchDetails(geometry_output=geom))
336 assert all(geom.name.lower() in r.geometry for r in results)
339 def test_very_large_housenumber(apiobj, frontend):
340 apiobj.add_placex(place_id=93, class_='place', type='house',
341 parent_place_id=2000,
342 housenumber='2467463524544', country_code='pt')
343 apiobj.add_placex(place_id=2000, class_='highway', type='residential',
344 rank_search=26, rank_address=26,
346 apiobj.add_search_name(2000, names=[1,2],
347 search_rank=26, address_rank=26,
350 lookup = FieldLookup('name_vector', [1, 2], LookupAll)
352 results = run_search(apiobj, frontend, 0.1, [lookup], [], hnrs=['2467463524544'],
353 details=SearchDetails())
356 assert [r.place_id for r in results] == [93, 2000]
359 @pytest.mark.parametrize('wcount,rids', [(2, [990, 991]), (30000, [990])])
360 def test_name_and_postcode(apiobj, frontend, wcount, rids):
361 apiobj.add_placex(place_id=990, class_='highway', type='service',
362 rank_search=27, rank_address=27,
364 centroid=(10.0, 10.0),
365 geometry='LINESTRING(9.995 10, 10.005 10)')
366 apiobj.add_search_name(990, names=[111], centroid=(10.0, 10.0),
367 search_rank=27, address_rank=27)
368 apiobj.add_placex(place_id=991, class_='highway', type='service',
369 rank_search=27, rank_address=27,
371 centroid=(10.1, 10.1),
372 geometry='LINESTRING(9.995 10.1, 10.005 10.1)')
373 apiobj.add_search_name(991, names=[111], centroid=(10.1, 10.1),
374 search_rank=27, address_rank=27)
375 apiobj.add_postcode(place_id=100, country_code='ch', postcode='11225',
376 geometry='POINT(10 10)')
378 lookup = FieldLookup('name_vector', [111], LookupAll)
380 results = run_search(apiobj, frontend, 0.1, [lookup], [], pcs=['11225'], count=wcount,
381 details=SearchDetails())
384 assert [r.place_id for r in results] == rids
387 class TestInterpolations:
389 @pytest.fixture(autouse=True)
390 def fill_database(self, apiobj):
391 apiobj.add_placex(place_id=990, class_='highway', type='service',
392 rank_search=27, rank_address=27,
393 centroid=(10.0, 10.0),
394 geometry='LINESTRING(9.995 10, 10.005 10)')
395 apiobj.add_search_name(990, names=[111],
396 search_rank=27, address_rank=27)
397 apiobj.add_placex(place_id=991, class_='place', type='house',
399 rank_search=30, rank_address=30,
401 centroid=(10.0, 10.00002))
402 apiobj.add_osmline(place_id=992,
404 startnumber=21, endnumber=29, step=2,
405 centroid=(10.0, 10.00001),
406 geometry='LINESTRING(9.995 10.00001, 10.005 10.00001)')
409 @pytest.mark.parametrize('hnr,res', [('21', [992]), ('22', []), ('23', [991])])
410 def test_lookup_housenumber(self, apiobj, frontend, hnr, res):
411 lookup = FieldLookup('name_vector', [111], LookupAll)
413 results = run_search(apiobj, frontend, 0.1, [lookup], [], hnrs=[hnr])
415 assert [r.place_id for r in results] == res + [990]
418 @pytest.mark.parametrize('geom', [napi.GeometryFormat.GEOJSON,
419 napi.GeometryFormat.KML,
420 napi.GeometryFormat.SVG,
421 napi.GeometryFormat.TEXT])
422 def test_osmline_with_geometries(self, apiobj, frontend, geom):
423 lookup = FieldLookup('name_vector', [111], LookupAll)
425 results = run_search(apiobj, frontend, 0.1, [lookup], [], hnrs=['21'],
426 details=SearchDetails(geometry_output=geom))
428 assert results[0].place_id == 992
429 assert geom.name.lower() in results[0].geometry
435 @pytest.fixture(autouse=True)
436 def fill_database(self, apiobj):
437 apiobj.add_placex(place_id=990, class_='highway', type='service',
438 rank_search=27, rank_address=27,
440 centroid=(10.0, 10.0),
441 geometry='LINESTRING(9.995 10, 10.005 10)')
442 apiobj.add_search_name(990, names=[111], country_code='us',
443 search_rank=27, address_rank=27)
444 apiobj.add_placex(place_id=991, class_='place', type='house',
446 rank_search=30, rank_address=30,
449 centroid=(10.0, 10.00002))
450 apiobj.add_tiger(place_id=992,
452 startnumber=21, endnumber=29, step=2,
453 centroid=(10.0, 10.00001),
454 geometry='LINESTRING(9.995 10.00001, 10.005 10.00001)')
457 @pytest.mark.parametrize('hnr,res', [('21', [992]), ('22', []), ('23', [991])])
458 def test_lookup_housenumber(self, apiobj, frontend, hnr, res):
459 lookup = FieldLookup('name_vector', [111], LookupAll)
461 results = run_search(apiobj, frontend, 0.1, [lookup], [], hnrs=[hnr])
463 assert [r.place_id for r in results] == res + [990]
466 @pytest.mark.parametrize('geom', [napi.GeometryFormat.GEOJSON,
467 napi.GeometryFormat.KML,
468 napi.GeometryFormat.SVG,
469 napi.GeometryFormat.TEXT])
470 def test_tiger_with_geometries(self, apiobj, frontend, geom):
471 lookup = FieldLookup('name_vector', [111], LookupAll)
473 results = run_search(apiobj, frontend, 0.1, [lookup], [], hnrs=['21'],
474 details=SearchDetails(geometry_output=geom))
476 assert results[0].place_id == 992
477 assert geom.name.lower() in results[0].geometry
480 class TestLayersRank30:
482 @pytest.fixture(autouse=True)
483 def fill_database(self, apiobj):
484 apiobj.add_placex(place_id=223, class_='place', type='house',
488 apiobj.add_search_name(223, names=[34],
490 address_rank=30, search_rank=30)
491 apiobj.add_placex(place_id=224, class_='amenity', type='toilet',
494 apiobj.add_search_name(224, names=[34],
496 address_rank=30, search_rank=30)
497 apiobj.add_placex(place_id=225, class_='man_made', type='tower',
500 apiobj.add_search_name(225, names=[34],
502 address_rank=0, search_rank=30)
503 apiobj.add_placex(place_id=226, class_='railway', type='station',
506 apiobj.add_search_name(226, names=[34],
508 address_rank=0, search_rank=30)
509 apiobj.add_placex(place_id=227, class_='natural', type='cave',
512 apiobj.add_search_name(227, names=[34],
514 address_rank=0, search_rank=30)
517 @pytest.mark.parametrize('layer,res', [(napi.DataLayer.ADDRESS, [223]),
518 (napi.DataLayer.POI, [224]),
519 (napi.DataLayer.ADDRESS | napi.DataLayer.POI, [223, 224]),
520 (napi.DataLayer.MANMADE, [225]),
521 (napi.DataLayer.RAILWAY, [226]),
522 (napi.DataLayer.NATURAL, [227]),
523 (napi.DataLayer.MANMADE | napi.DataLayer.NATURAL, [225, 227]),
524 (napi.DataLayer.MANMADE | napi.DataLayer.RAILWAY, [225, 226])])
525 def test_layers_rank30(self, apiobj, frontend, layer, res):
526 lookup = FieldLookup('name_vector', [34], LookupAny)
528 results = run_search(apiobj, frontend, 0.1, [lookup], [],
529 details=SearchDetails(layers=layer))
531 assert [r.place_id for r in results] == res