c28756c48b
Python introduced http.HTTPStatus since version 3.5, and Wallaby has targeted a minimum version of python 3.6. Change-Id: I45f732f0f59b8fae831bb6c07f4fdd98cdd7409a
303 lines
12 KiB
Python
303 lines
12 KiB
Python
# -*- encoding: utf-8 -*-
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# Copyright (c) 2019 European Organization for Nuclear Research (CERN)
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#
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# Authors: Corne Lukken <info@dantalion.nl>
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
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# implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from unittest import mock
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from oslo_config import cfg
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from oslo_log import log
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from watcher.common import clients
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from watcher.common import exception
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from watcher.decision_engine.datasources import grafana
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from watcher.tests import base
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from http import HTTPStatus
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import requests
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CONF = cfg.CONF
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LOG = log.getLogger(__name__)
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@mock.patch.object(clients.OpenStackClients, 'nova', mock.Mock())
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class TestGrafana(base.BaseTestCase):
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"""Test the GrafanaHelper datasource
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Objects under test are preceded with t_ and mocked objects are preceded
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with m_ , additionally, patched objects are preceded with p_ no object
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under test should be created in setUp this can influence the results.
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"""
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def setUp(self):
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super(TestGrafana, self).setUp()
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self.p_conf = mock.patch.object(
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grafana, 'CONF',
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new_callable=mock.PropertyMock)
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self.m_conf = self.p_conf.start()
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self.addCleanup(self.p_conf.stop)
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self.m_conf.grafana_client.token = \
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"eyJrIjoiT0tTcG1pUlY2RnVKZTFVaDFsNFZXdE9ZWmNrMkZYbk=="
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self.m_conf.grafana_client.base_url = "https://grafana.proxy/api/"
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self.m_conf.grafana_client.project_id_map = {'host_cpu_usage': 7221}
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self.m_conf.grafana_client.database_map = \
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{'host_cpu_usage': 'mock_db'}
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self.m_conf.grafana_client.attribute_map = \
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{'host_cpu_usage': 'hostname'}
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self.m_conf.grafana_client.translator_map = \
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{'host_cpu_usage': 'influxdb'}
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self.m_conf.grafana_client.query_map = \
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{'host_cpu_usage': 'SELECT 100-{0}("{0}_value") FROM {3}.'
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'cpu_percent WHERE ("host" =~ /^{1}$/ AND '
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'"type_instance" =~/^idle$/ AND time > '
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'(now()-{2}m)'}
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self.m_grafana = grafana.GrafanaHelper(osc=mock.Mock())
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stat_agg_patcher = mock.patch.object(
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self.m_grafana, 'statistic_aggregation',
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spec=grafana.GrafanaHelper.statistic_aggregation)
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self.mock_aggregation = stat_agg_patcher.start()
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self.addCleanup(stat_agg_patcher.stop)
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self.m_compute_node = mock.Mock(
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id='16a86790-327a-45f9-bc82-45839f062fdc',
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hostname='example.hostname.ch'
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)
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self.m_instance = mock.Mock(
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id='73b1ff78-aca7-404f-ac43-3ed16c1fa555',
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human_id='example.hostname'
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)
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def test_configured(self):
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"""Initialize GrafanaHelper and check if configured is true"""
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t_grafana = grafana.GrafanaHelper(osc=mock.Mock())
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self.assertTrue(t_grafana.configured)
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def test_configured_error(self):
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"""Butcher the required configuration and test if configured is false
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"""
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self.m_conf.grafana_client.base_url = ""
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t_grafana = grafana.GrafanaHelper(osc=mock.Mock())
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self.assertFalse(t_grafana.configured)
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def test_configured_raise_error(self):
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"""Test raising error when using improperly configured GrafanHelper
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Assure that the _get_metric method raises errors if the metric is
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missing from the map
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"""
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# Clear the METRIC_MAP of Grafana since it is a static variable that
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# other tests might have set before this test runs.
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grafana.GrafanaHelper.METRIC_MAP = {}
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self.m_conf.grafana_client.base_url = ""
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t_grafana = grafana.GrafanaHelper(osc=mock.Mock())
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self.assertFalse(t_grafana.configured)
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self.assertEqual({}, t_grafana.METRIC_MAP)
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self.assertRaises(
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exception.MetricNotAvailable,
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t_grafana.get_host_cpu_usage,
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self.m_compute_node
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)
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@mock.patch.object(requests, 'get')
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def test_request_raise_error(self, m_request):
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"""Test raising error when status code of request indicates problem
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Assure that the _request method raises errors if the response indicates
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problems.
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"""
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m_request.return_value = mock.Mock(status_code=HTTPStatus.NOT_FOUND)
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t_grafana = grafana.GrafanaHelper(osc=mock.Mock())
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self.assertIsNone(t_grafana.get_host_cpu_usage(self.m_compute_node))
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def test_no_metric_raise_error(self):
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"""Test raising error when specified meter does not exist"""
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t_grafana = grafana.GrafanaHelper(osc=mock.Mock())
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self.assertRaises(exception.MetricNotAvailable,
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t_grafana.statistic_aggregation,
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self.m_compute_node,
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'none existing meter', 60)
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@mock.patch.object(grafana.GrafanaHelper, '_request')
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def test_get_metric_raise_error(self, m_request):
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"""Test raising error when endpoint unable to deliver data for metric
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"""
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m_request.return_value.content = "{}"
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t_grafana = grafana.GrafanaHelper(osc=mock.Mock())
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self.assertRaises(exception.NoSuchMetricForHost,
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t_grafana.get_host_cpu_usage,
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self.m_compute_node, 60)
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def test_metric_builder(self):
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"""Creates valid and invalid sets of configuration for metrics
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Ensures that a valid metric entry can be configured even if multiple
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invalid configurations exist for other metrics.
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"""
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self.m_conf.grafana_client.project_id_map = {
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'host_cpu_usage': 7221,
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'host_ram_usage': 7221,
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'instance_ram_allocated': 7221,
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}
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self.m_conf.grafana_client.database_map = {
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'host_cpu_usage': 'mock_db',
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'instance_cpu_usage': 'mock_db',
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'instance_ram_allocated': 'mock_db',
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}
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self.m_conf.grafana_client.attribute_map = {
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'host_cpu_usage': 'hostname',
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'host_power': 'hostname',
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'instance_ram_allocated': 'human_id',
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}
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self.m_conf.grafana_client.translator_map = {
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'host_cpu_usage': 'influxdb',
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'host_inlet_temp': 'influxdb',
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# validate that invalid entries don't get added
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'instance_ram_usage': 'dummy',
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'instance_ram_allocated': 'influxdb',
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}
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self.m_conf.grafana_client.query_map = {
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'host_cpu_usage': 'SHOW SERIES',
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'instance_ram_usage': 'SHOW SERIES',
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'instance_ram_allocated': 'SHOW SERIES',
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}
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expected_result = {
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'host_cpu_usage': {
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'db': 'mock_db',
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'project': 7221,
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'attribute': 'hostname',
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'translator': 'influxdb',
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'query': 'SHOW SERIES'},
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'instance_ram_allocated': {
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'db': 'mock_db',
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'project': 7221,
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'attribute': 'human_id',
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'translator': 'influxdb',
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'query': 'SHOW SERIES'},
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}
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t_grafana = grafana.GrafanaHelper(osc=mock.Mock())
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self.assertEqual(t_grafana.METRIC_MAP, expected_result)
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@mock.patch.object(grafana.GrafanaHelper, '_request')
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def test_statistic_aggregation(self, m_request):
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m_request.return_value.content = "{ \"results\": [{ \"series\": [{ " \
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"\"columns\": [\"time\",\"mean\"]," \
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"\"values\": [[1552500855000, " \
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"67.3550078657577]]}]}]}"
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t_grafana = grafana.GrafanaHelper(osc=mock.Mock())
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result = t_grafana.statistic_aggregation(
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self.m_compute_node, 'compute_node', 'host_cpu_usage', 60)
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self.assertEqual(result, 67.3550078657577)
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def test_get_host_cpu_usage(self):
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self.m_grafana.get_host_cpu_usage(self.m_compute_node, 60, 'min', 15)
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self.mock_aggregation.assert_called_once_with(
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self.m_compute_node, 'compute_node', 'host_cpu_usage', 60, 'min',
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15)
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def test_get_host_ram_usage(self):
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self.m_grafana.get_host_ram_usage(self.m_compute_node, 60,
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'min', 15)
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self.mock_aggregation.assert_called_once_with(
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self.m_compute_node, 'compute_node', 'host_ram_usage', 60, 'min',
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15)
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def test_get_host_outlet_temperature(self):
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self.m_grafana.get_host_outlet_temp(self.m_compute_node, 60,
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'min', 15)
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self.mock_aggregation.assert_called_once_with(
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self.m_compute_node, 'compute_node', 'host_outlet_temp', 60, 'min',
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15)
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def test_get_host_inlet_temperature(self):
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self.m_grafana.get_host_inlet_temp(self.m_compute_node, 60,
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'min', 15)
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self.mock_aggregation.assert_called_once_with(
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self.m_compute_node, 'compute_node', 'host_inlet_temp', 60, 'min',
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15)
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def test_get_host_airflow(self):
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self.m_grafana.get_host_airflow(self.m_compute_node, 60,
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'min', 15)
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self.mock_aggregation.assert_called_once_with(
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self.m_compute_node, 'compute_node', 'host_airflow', 60, 'min',
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15)
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def test_get_host_power(self):
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self.m_grafana.get_host_power(self.m_compute_node, 60,
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'min', 15)
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self.mock_aggregation.assert_called_once_with(
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self.m_compute_node, 'compute_node', 'host_power', 60, 'min',
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15)
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def test_get_instance_cpu_usage(self):
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self.m_grafana.get_instance_cpu_usage(self.m_compute_node, 60,
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'min', 15)
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self.mock_aggregation.assert_called_once_with(
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self.m_compute_node, 'instance', 'instance_cpu_usage', 60,
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'min', 15)
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def test_get_instance_ram_usage(self):
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self.m_grafana.get_instance_ram_usage(self.m_compute_node, 60,
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'min', 15)
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self.mock_aggregation.assert_called_once_with(
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self.m_compute_node, 'instance', 'instance_ram_usage', 60,
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'min', 15)
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def test_get_instance_ram_allocated(self):
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self.m_grafana.get_instance_ram_allocated(self.m_compute_node, 60,
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'min', 15)
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self.mock_aggregation.assert_called_once_with(
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self.m_compute_node, 'instance', 'instance_ram_allocated', 60,
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'min', 15)
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def test_get_instance_l3_cache_usage(self):
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self.m_grafana.get_instance_l3_cache_usage(self.m_compute_node, 60,
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'min', 15)
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self.mock_aggregation.assert_called_once_with(
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self.m_compute_node, 'instance', 'instance_l3_cache_usage', 60,
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'min', 15)
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def test_get_instance_root_disk_allocated(self):
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self.m_grafana.get_instance_root_disk_size(self.m_compute_node, 60,
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'min', 15)
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self.mock_aggregation.assert_called_once_with(
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self.m_compute_node, 'instance', 'instance_root_disk_size', 60,
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'min', 15)
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