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00e3a752c9
Use adapted types for the different result types. This makes it easier to have adapted output formatting and means there are only result fields that are filled.
228 lines
8.7 KiB
Python
228 lines
8.7 KiB
Python
# SPDX-License-Identifier: GPL-2.0-only
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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 formatting results for the V1 API.
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"""
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import datetime as dt
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import json
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import pytest
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import nominatim.api.v1 as api_impl
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import nominatim.api as napi
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from nominatim.version import NOMINATIM_VERSION
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STATUS_FORMATS = {'text', 'json'}
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# StatusResult
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def test_status_format_list():
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assert set(api_impl.list_formats(napi.StatusResult)) == STATUS_FORMATS
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@pytest.mark.parametrize('fmt', list(STATUS_FORMATS))
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def test_status_supported(fmt):
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assert api_impl.supports_format(napi.StatusResult, fmt)
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def test_status_unsupported():
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assert not api_impl.supports_format(napi.StatusResult, 'gagaga')
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def test_status_format_text():
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assert api_impl.format_result(napi.StatusResult(0, 'message here'), 'text', {}) == 'OK'
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def test_status_format_text():
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assert api_impl.format_result(napi.StatusResult(500, 'message here'), 'text', {}) == 'ERROR: message here'
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def test_status_format_json_minimal():
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status = napi.StatusResult(700, 'Bad format.')
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result = api_impl.format_result(status, 'json', {})
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assert result == '{"status":700,"message":"Bad format.","software_version":"%s"}' % (NOMINATIM_VERSION, )
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def test_status_format_json_full():
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status = napi.StatusResult(0, 'OK')
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status.data_updated = dt.datetime(2010, 2, 7, 20, 20, 3, 0, tzinfo=dt.timezone.utc)
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status.database_version = '5.6'
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result = api_impl.format_result(status, 'json', {})
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assert result == '{"status":0,"message":"OK","data_updated":"2010-02-07T20:20:03+00:00","software_version":"%s","database_version":"5.6"}' % (NOMINATIM_VERSION, )
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# DetailedResult
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def test_search_details_minimal():
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search = napi.DetailedResult(napi.SourceTable.PLACEX,
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('place', 'thing'),
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napi.Point(1.0, 2.0))
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result = api_impl.format_result(search, 'json', {})
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assert json.loads(result) == \
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{'category': 'place',
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'type': 'thing',
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'admin_level': 15,
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'localname': '',
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'calculated_importance': pytest.approx(0.0000001),
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'rank_address': 30,
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'rank_search': 30,
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'isarea': False,
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'centroid': {'type': 'Point', 'coordinates': [1.0, 2.0]},
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'geometry': {'type': 'Point', 'coordinates': [1.0, 2.0]},
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}
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def test_search_details_full():
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import_date = dt.datetime(2010, 2, 7, 20, 20, 3, 0, tzinfo=dt.timezone.utc)
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search = napi.DetailedResult(
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source_table=napi.SourceTable.PLACEX,
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category=('amenity', 'bank'),
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centroid=napi.Point(56.947, -87.44),
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place_id=37563,
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parent_place_id=114,
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linked_place_id=55693,
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osm_object=('W', 442100),
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admin_level=14,
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names={'name': 'Bank', 'name:fr': 'Banque'},
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address={'city': 'Niento', 'housenumber': ' 3'},
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extratags={'atm': 'yes'},
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housenumber='3',
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postcode='556 X23',
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wikipedia='en:Bank',
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rank_address=29,
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rank_search=28,
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importance=0.0443,
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country_code='ll',
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indexed_date = import_date
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)
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result = api_impl.format_result(search, 'json', {})
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assert json.loads(result) == \
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{'place_id': 37563,
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'parent_place_id': 114,
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'osm_type': 'W',
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'osm_id': 442100,
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'category': 'amenity',
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'type': 'bank',
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'admin_level': 14,
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'localname': 'Bank',
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'names': {'name': 'Bank', 'name:fr': 'Banque'},
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'addresstags': {'city': 'Niento', 'housenumber': ' 3'},
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'housenumber': '3',
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'calculated_postcode': '556 X23',
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'country_code': 'll',
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'indexed_date': '2010-02-07T20:20:03+00:00',
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'importance': pytest.approx(0.0443),
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'calculated_importance': pytest.approx(0.0443),
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'extratags': {'atm': 'yes'},
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'calculated_wikipedia': 'en:Bank',
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'rank_address': 29,
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'rank_search': 28,
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'isarea': False,
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'centroid': {'type': 'Point', 'coordinates': [56.947, -87.44]},
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'geometry': {'type': 'Point', 'coordinates': [56.947, -87.44]},
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}
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@pytest.mark.parametrize('gtype,isarea', [('ST_Point', False),
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('ST_LineString', False),
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('ST_Polygon', True),
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('ST_MultiPolygon', True)])
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def test_search_details_no_geometry(gtype, isarea):
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search = napi.DetailedResult(napi.SourceTable.PLACEX,
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('place', 'thing'),
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napi.Point(1.0, 2.0),
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geometry={'type': gtype})
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result = api_impl.format_result(search, 'json', {})
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js = json.loads(result)
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assert js['geometry'] == {'type': 'Point', 'coordinates': [1.0, 2.0]}
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assert js['isarea'] == isarea
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def test_search_details_with_geometry():
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search = napi.DetailedResult(napi.SourceTable.PLACEX,
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('place', 'thing'),
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napi.Point(1.0, 2.0),
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geometry={'geojson': '{"type":"Point","coordinates":[56.947,-87.44]}'})
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result = api_impl.format_result(search, 'json', {})
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js = json.loads(result)
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assert js['geometry'] == {'type': 'Point', 'coordinates': [56.947, -87.44]}
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assert js['isarea'] == False
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def test_search_details_with_address_minimal():
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search = napi.DetailedResult(napi.SourceTable.PLACEX,
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('place', 'thing'),
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napi.Point(1.0, 2.0),
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address_rows=[
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napi.AddressLine(place_id=None,
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osm_object=None,
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category=('bnd', 'note'),
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names={},
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extratags=None,
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admin_level=None,
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fromarea=False,
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isaddress=False,
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rank_address=10,
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distance=0.0)
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])
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result = api_impl.format_result(search, 'json', {})
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js = json.loads(result)
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assert js['address'] == [{'localname': '',
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'class': 'bnd',
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'type': 'note',
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'rank_address': 10,
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'distance': 0.0,
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'isaddress': False}]
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def test_search_details_with_address_full():
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search = napi.DetailedResult(napi.SourceTable.PLACEX,
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('place', 'thing'),
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napi.Point(1.0, 2.0),
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address_rows=[
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napi.AddressLine(place_id=3498,
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osm_object=('R', 442),
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category=('bnd', 'note'),
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names={'name': 'Trespass'},
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extratags={'access': 'no',
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'place_type': 'spec'},
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admin_level=4,
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fromarea=True,
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isaddress=True,
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rank_address=10,
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distance=0.034)
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])
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result = api_impl.format_result(search, 'json', {})
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js = json.loads(result)
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assert js['address'] == [{'localname': 'Trespass',
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'place_id': 3498,
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'osm_id': 442,
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'osm_type': 'R',
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'place_type': 'spec',
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'class': 'bnd',
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'type': 'note',
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'admin_level': 4,
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'rank_address': 10,
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'distance': 0.034,
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'isaddress': True}]
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