X-Git-Url: https://git.openstreetmap.org./nominatim.git/blobdiff_plain/bd2c64876f7ddc99da14ea78a652f797e17134f4..fa1c402b47bdd1f76b8528885c0e3a5e90731cdc:/test/python/api/test_result_formatting_v1.py?ds=sidebyside diff --git a/test/python/api/test_result_formatting_v1.py b/test/python/api/test_result_formatting_v1.py index 0c54667e..6ac1bb6d 100644 --- a/test/python/api/test_result_formatting_v1.py +++ b/test/python/api/test_result_formatting_v1.py @@ -1,8 +1,8 @@ -# SPDX-License-Identifier: GPL-2.0-only +# SPDX-License-Identifier: GPL-3.0-or-later # # This file is part of Nominatim. (https://nominatim.org) # -# Copyright (C) 2023 by the Nominatim developer community. +# Copyright (C) 2024 by the Nominatim developer community. # For a full list of authors see the git log. """ Tests for formatting results for the V1 API. @@ -15,9 +15,8 @@ import json import pytest -import nominatim.api.v1 as api_impl -import nominatim.api as napi -from nominatim.version import NOMINATIM_VERSION +import nominatim_api.v1 as api_impl +import nominatim_api as napi STATUS_FORMATS = {'text', 'json'} @@ -49,7 +48,8 @@ def test_status_format_json_minimal(): result = api_impl.format_result(status, 'json', {}) - assert result == '{"status":700,"message":"Bad format.","software_version":"%s"}' % (NOMINATIM_VERSION, ) + assert result == \ + f'{{"status":700,"message":"Bad format.","software_version":"{napi.__version__}"}}' def test_status_format_json_full(): @@ -59,7 +59,8 @@ def test_status_format_json_full(): result = api_impl.format_result(status, 'json', {}) - assert result == '{"status":0,"message":"OK","data_updated":"2010-02-07T20:20:03+00:00","software_version":"%s","database_version":"5.6"}' % (NOMINATIM_VERSION, ) + assert result == \ + f'{{"status":0,"message":"OK","data_updated":"2010-02-07T20:20:03+00:00","software_version":"{napi.__version__}","database_version":"5.6"}}' # DetailedResult @@ -77,7 +78,7 @@ def test_search_details_minimal(): 'admin_level': 15, 'names': {}, 'localname': '', - 'calculated_importance': pytest.approx(0.0000001), + 'calculated_importance': pytest.approx(0.00001), 'rank_address': 30, 'rank_search': 30, 'isarea': False,