| #!/usr/bin/env python |
| # -*- encoding: utf-8 -*- |
| |
| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you 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. |
| |
| |
| # pylint: disable=missing-docstring |
| |
| import unittest |
| |
| from heronpy.api.metrics import (CountMetric, MultiCountMetric, |
| MeanReducedMetric, MultiMeanReducedMetric) |
| |
| class MetricsTest(unittest.TestCase): |
| def test_count_metric(self): |
| metric = CountMetric() |
| for _ in range(10): |
| metric.incr() |
| self.assertEqual(metric.get_value_and_reset(), 10) |
| |
| for _ in range(10): |
| metric.incr(to_add=10) |
| self.assertEqual(metric.get_value_and_reset(), 100) |
| self.assertEqual(metric.get_value_and_reset(), 0) |
| |
| def test_multi_count_metric(self): |
| metric = MultiCountMetric() |
| key_list = ["key1", "key2", "key3"] |
| for _ in range(10): |
| for key in key_list: |
| metric.incr(key=key) |
| self.assertEqual(metric.get_value_and_reset(), dict(zip(key_list, [10] * 3))) |
| self.assertEqual(metric.get_value_and_reset(), dict(zip(key_list, [0] * 3))) |
| |
| metric.add_key("key4") |
| ret = metric.get_value_and_reset() |
| self.assertIn("key4", ret) |
| self.assertEqual(ret["key4"], 0) |
| |
| def test_mean_reduced_metric(self): |
| metric = MeanReducedMetric() |
| # update from 1 to 10 |
| for i in range(1, 11): |
| metric.update(i) |
| self.assertEqual(metric.get_value_and_reset(), 5.5) |
| self.assertIsNone(metric.get_value_and_reset()) |
| |
| for i in range(1, 11): |
| metric.update(i * 10) |
| self.assertEqual(metric.get_value_and_reset(), 55) |
| |
| def test_multi_mean_reduced_metric(self): |
| metric = MultiMeanReducedMetric() |
| key_list = ["key1", "key2", "key3"] |
| for i in range(1, 11): |
| metric.update(key=key_list[0], value=i) |
| metric.update(key=key_list[1], value=i * 2) |
| metric.update(key=key_list[2], value=i * 3) |
| self.assertEqual(metric.get_value_and_reset(), dict(zip(key_list, [5.5, 11, 16.5]))) |
| self.assertEqual(metric.get_value_and_reset(), dict(zip(key_list, [None] * 3))) |
| |
| metric.add_key("key4") |
| ret = metric.get_value_and_reset() |
| self.assertIn("key4", ret) |
| self.assertIsNone(ret["key4"]) |