mirror of
https://github.com/osm-search/Nominatim.git
synced 2026-02-16 05:18:00 +00:00
add output formatters for ReverseResults
These formatters are written in a way that they can be reused for search results later.
This commit is contained in:
@@ -6,6 +6,9 @@
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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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These test only ensure that the Python code is correct.
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For functional tests see BDD test suite.
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"""
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import datetime as dt
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import json
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@@ -165,6 +168,28 @@ def test_search_details_with_geometry():
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assert js['isarea'] == False
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def test_search_details_with_icon_available():
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search = napi.DetailedResult(napi.SourceTable.PLACEX,
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('amenity', 'restaurant'),
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napi.Point(1.0, 2.0))
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result = api_impl.format_result(search, 'json', {'icon_base_url': 'foo'})
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js = json.loads(result)
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assert js['icon'] == 'foo/food_restaurant.p.20.png'
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def test_search_details_with_icon_not_available():
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search = napi.DetailedResult(napi.SourceTable.PLACEX,
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('amenity', 'tree'),
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napi.Point(1.0, 2.0))
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result = api_impl.format_result(search, 'json', {'icon_base_url': 'foo'})
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js = json.loads(result)
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assert 'icon' not in js
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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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@@ -193,28 +218,32 @@ def test_search_details_with_address_minimal():
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'isaddress': False}]
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def test_search_details_with_address_full():
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@pytest.mark.parametrize('field,outfield', [('address_rows', 'address'),
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('linked_rows', 'linked_places'),
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('parented_rows', 'hierarchy')
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])
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def test_search_details_with_further_infos(field, outfield):
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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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napi.Point(1.0, 2.0))
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setattr(search, field, [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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assert js[outfield] == [{'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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@@ -225,3 +254,70 @@ def test_search_details_with_address_full():
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'rank_address': 10,
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'distance': 0.034,
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'isaddress': True}]
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def test_search_details_grouped_hierarchy():
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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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parented_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', {'group_hierarchy': True})
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js = json.loads(result)
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assert js['hierarchy'] == {'note': [{'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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def test_search_details_keywords_name():
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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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name_keywords=[
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napi.WordInfo(23, 'foo', 'mefoo'),
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napi.WordInfo(24, 'foo', 'bafoo')])
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result = api_impl.format_result(search, 'json', {'keywords': True})
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js = json.loads(result)
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assert js['keywords'] == {'name': [{'id': 23, 'token': 'foo'},
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{'id': 24, 'token': 'foo'}],
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'address': []}
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def test_search_details_keywords_address():
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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_keywords=[
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napi.WordInfo(23, 'foo', 'mefoo'),
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napi.WordInfo(24, 'foo', 'bafoo')])
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result = api_impl.format_result(search, 'json', {'keywords': True})
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js = json.loads(result)
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assert js['keywords'] == {'address': [{'id': 23, 'token': 'foo'},
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{'id': 24, 'token': 'foo'}],
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'name': []}
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