06c6c4691b
In this changeset, I implemented a background scheduler service for Watcher and more particularly for the Decision Engine where I made it create 2 types of job per cluster data model collector plugin: - An initial job that is asynchronously executed upon starting the Decision Engine - A periodical job that gets triggered every configurable interval of time Change-Id: I3f5442f81933a19565217b894bd86c186e339762 Partially-Implements: bluprint cluster-model-objects-wrapper
88 lines
3.2 KiB
Python
88 lines
3.2 KiB
Python
# -*- encoding: utf-8 -*-
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# Copyright (c) 2016 b<>com
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#
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# Authors: Vincent FRANCOISE <vincent.francoise@b-com.com>
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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 apscheduler.schedulers import background
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from apscheduler.triggers import interval as interval_trigger
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import eventlet
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import mock
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from watcher.decision_engine import scheduling
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from watcher.metrics_engine.loading import default as default_loading
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from watcher.tests import base
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from watcher.tests.decision_engine.strategy.strategies import \
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faker_cluster_state
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class TestDecisionEngineSchedulingService(base.TestCase):
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@mock.patch.object(
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default_loading.ClusterDataModelCollectorLoader, 'load')
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@mock.patch.object(
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default_loading.ClusterDataModelCollectorLoader, 'list_available')
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@mock.patch.object(background.BackgroundScheduler, 'start')
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def test_start_de_scheduling_service(self, m_start, m_list_available,
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m_load):
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m_list_available.return_value = {
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'fake': faker_cluster_state.FakerModelCollector}
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fake_collector = faker_cluster_state.FakerModelCollector(
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config=mock.Mock(period=777))
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m_load.return_value = fake_collector
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scheduler = scheduling.DecisionEngineSchedulingService()
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scheduler.start()
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m_start.assert_called_once_with(scheduler)
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jobs = scheduler.get_jobs()
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self.assertEqual(1, len(jobs))
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job = jobs[0]
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self.assertTrue(bool(fake_collector.cluster_data_model))
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self.assertIsInstance(job.trigger, interval_trigger.IntervalTrigger)
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@mock.patch.object(
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default_loading.ClusterDataModelCollectorLoader, 'load')
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@mock.patch.object(
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default_loading.ClusterDataModelCollectorLoader, 'list_available')
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@mock.patch.object(background.BackgroundScheduler, 'start')
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def test_execute_sync_job_fails(self, m_start, m_list_available,
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m_load):
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fake_config = mock.Mock(period=.01)
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fake_collector = faker_cluster_state.FakerModelCollector(
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config=fake_config)
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fake_collector.synchronize = mock.Mock(
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side_effect=lambda: eventlet.sleep(.5))
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m_list_available.return_value = {
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'fake': faker_cluster_state.FakerModelCollector}
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m_load.return_value = fake_collector
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scheduler = scheduling.DecisionEngineSchedulingService()
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scheduler.start()
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m_start.assert_called_once_with(scheduler)
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jobs = scheduler.get_jobs()
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self.assertEqual(1, len(jobs))
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job = jobs[0]
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job.func()
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self.assertFalse(bool(fake_collector.cluster_data_model))
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self.assertIsInstance(job.trigger, interval_trigger.IntervalTrigger)
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