# Copyright 2016 Rackspace Hosting # All Rights Reserved # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. from unittest import mock from ironic_lib import metrics_collector from ironic_lib.tests import base def connect(family=None, type=None, proto=None): """Dummy function to provide signature for autospec""" pass class TestDictCollectionMetricLogger(base.IronicLibTestCase): def setUp(self): super(TestDictCollectionMetricLogger, self).setUp() self.ml = metrics_collector.DictCollectionMetricLogger( 'prefix', '.') @mock.patch('ironic_lib.metrics_collector.' 'DictCollectionMetricLogger._send', autospec=True) def test_gauge(self, mock_send): self.ml._gauge('metric', 10) mock_send.assert_called_once_with(self.ml, 'metric', 10, 'g') @mock.patch('ironic_lib.metrics_collector.' 'DictCollectionMetricLogger._send', autospec=True) def test_counter(self, mock_send): self.ml._counter('metric', 10) mock_send.assert_called_once_with(self.ml, 'metric', 10, 'c', sample_rate=None) @mock.patch('ironic_lib.metrics_collector.' 'DictCollectionMetricLogger._send', autospec=True) def test_timer(self, mock_send): self.ml._timer('metric', 10) mock_send.assert_called_once_with(self.ml, 'metric', 10, 'ms') def test_send(self): expected = { 'part1.part1': {'count': 2, 'type': 'counter'}, 'part1.part2': {'type': 'gauge', 'value': 66}, 'part1.magic': {'count': 2, 'sum': 22, 'type': 'timer'}, } self.ml._send('part1.part1', 1, 'c') self.ml._send('part1.part1', 1, 'c') self.ml._send('part1.part2', 66, 'g') self.ml._send('part1.magic', 2, 'ms') self.ml._send('part1.magic', 20, 'ms') results = self.ml.get_metrics_data() self.assertEqual(expected, results)