#!/usr/bin/env python3 # # Copyright (C) 2020 VyOS maintainers and contributors # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License version 2 or later as # published by the Free Software Foundation. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program. If not, see . from unittest import TestCase from vyos.util import dict_search data = { 'string': 'fooo', 'nested': {'string': 'bar', 'empty': '', 'list': ['foo', 'bar']}, 'list': ['bar', 'baz'], 'dict': {'key_1': {}, 'key_2': 'vyos'} } class TestDictSearch(TestCase): def setUp(self): pass def test_non_existing_keys(self): """ TestDictSearch: Return False when querying for non-existent key """ self.assertFalse(dict_search('non_existing', data)) def test_string(self): """ TestDictSearch: Return value when querying string """ self.assertEqual(dict_search('string', data), data['string']) def test_list(self): """ TestDictSearch: Return list items when querying list """ self.assertEqual(dict_search('list', data), data['list']) def test_dict_key_value(self): """ TestDictSearch: Return dictionary keys value when value is present """ self.assertEqual(dict_search('dict.key_2', data), data['dict']['key_2']) def test_nested_dict_key_value(self): """ TestDictSearch: Return string value of last key when querying for a nested string """ self.assertEqual(dict_search('nested.string', data), data['nested']['string']) def test_nested_dict_key_empty(self): """ TestDictSearch: Return False when querying for a nested string whose last key is empty """ self.assertFalse(dict_search('nested.empty', data)) def test_nested_list(self): """ TestDictSearch: Return list items when querying nested list """ self.assertEqual(dict_search('nested.list', data), data['nested']['list'])