+ ]
+
+
+def test_lookup_in_tiger(apiobj):
+ apiobj.add_tiger(place_id=4924,
+ parent_place_id=12,
+ startnumber=1, endnumber=4, step=1,
+ postcode='34425',
+ geometry='LINESTRING(23 34, 23 35)')
+
+ result = apiobj.api.lookup(napi.PlaceID(4924), napi.LookupDetails())
+
+ assert result is not None
+
+ assert result.source_table.name == 'TIGER'
+ assert result.category == ('place', 'houses')
+ assert result.centroid == (pytest.approx(23.0), pytest.approx(34.5))
+
+ assert result.place_id == 4924
+ assert result.parent_place_id == 12
+ assert result.linked_place_id is None
+ assert result.osm_object is None
+ assert result.admin_level == 15
+
+ assert result.names is None
+ assert result.address is None
+ assert result.extratags == {'startnumber': '1', 'endnumber': '4', 'step': '1'}
+
+ assert result.housenumber is None
+ assert result.postcode == '34425'
+ assert result.wikipedia is None
+
+ assert result.rank_search == 30
+ assert result.rank_address == 30
+ assert result.importance is None
+
+ assert result.country_code == 'us'
+ assert result.indexed_date is None
+
+ assert result.address_rows is None
+ assert result.linked_rows is None
+ assert result.parented_rows is None
+ assert result.name_keywords is None
+ assert result.address_keywords is None
+
+ assert result.geometry == {'type': 'ST_LineString'}
+
+
+def test_lookup_tiger_with_address_details(apiobj):
+ apiobj.add_tiger(place_id=9000,
+ startnumber=2, endnumber=4, step=1,
+ parent_place_id=332)
+ apiobj.add_placex(place_id=332, osm_type='W', osm_id=4,
+ class_='highway', type='residential', name='Street',
+ country_code='us',
+ rank_search=27, rank_address=26)
+ apiobj.add_address_placex(332, fromarea=False, isaddress=False,
+ distance=0.0034,
+ place_id=1000, osm_type='N', osm_id=3333,
+ class_='place', type='suburb', name='Smallplace',
+ country_code='us', admin_level=13,
+ rank_search=24, rank_address=23)
+ apiobj.add_address_placex(332, fromarea=True, isaddress=True,
+ place_id=1001, osm_type='N', osm_id=3334,
+ class_='place', type='city', name='Bigplace',
+ country_code='us',
+ rank_search=17, rank_address=16)
+
+ result = apiobj.api.lookup(napi.PlaceID(9000),
+ napi.LookupDetails(address_details=True))
+
+ assert result.address_rows == [
+ napi.AddressLine(place_id=None, osm_object=None,
+ category=('place', 'house_number'),
+ names={'ref': '2'}, extratags={},
+ admin_level=None, fromarea=True, isaddress=True,
+ rank_address=28, distance=0.0),
+ napi.AddressLine(place_id=332, osm_object=('W', 4),
+ category=('highway', 'residential'),
+ names={'name': 'Street'}, extratags={},
+ admin_level=15, fromarea=True, isaddress=True,
+ rank_address=26, distance=0.0),
+ napi.AddressLine(place_id=1000, osm_object=('N', 3333),
+ category=('place', 'suburb'),
+ names={'name': 'Smallplace'}, extratags={},
+ admin_level=13, fromarea=False, isaddress=True,
+ rank_address=23, distance=0.0034),
+ napi.AddressLine(place_id=1001, osm_object=('N', 3334),
+ category=('place', 'city'),
+ names={'name': 'Bigplace'}, extratags={},
+ admin_level=15, fromarea=True, isaddress=True,
+ rank_address=16, distance=0.0),
+ napi.AddressLine(place_id=None, osm_object=None,
+ category=('place', 'country_code'),
+ names={'ref': 'us'}, extratags={},
+ admin_level=None, fromarea=True, isaddress=False,
+ rank_address=4, distance=0.0)
+ ]
+
+
+def test_lookup_in_postcode(apiobj):
+ import_date = dt.datetime(2022, 12, 7, 14, 14, 46, 0)
+ apiobj.add_postcode(place_id=554,
+ parent_place_id=152,
+ postcode='34 425',
+ country_code='gb',
+ rank_search=20, rank_address=22,
+ indexed_date=import_date,
+ geometry='POINT(-9.45 5.6)')
+
+ result = apiobj.api.lookup(napi.PlaceID(554), napi.LookupDetails())
+
+ assert result is not None
+
+ assert result.source_table.name == 'POSTCODE'
+ assert result.category == ('place', 'postcode')
+ assert result.centroid == (pytest.approx(-9.45), pytest.approx(5.6))
+
+ assert result.place_id == 554
+ assert result.parent_place_id == 152
+ assert result.linked_place_id is None
+ assert result.osm_object is None
+ assert result.admin_level == 15
+
+ assert result.names == {'ref': '34 425'}
+ assert result.address is None
+ assert result.extratags is None
+
+ assert result.housenumber is None
+ assert result.postcode is None
+ assert result.wikipedia is None
+
+ assert result.rank_search == 20
+ assert result.rank_address == 22
+ assert result.importance is None