ebc5a6198c
* add API test for complete lifecycle * change existing tests to use deletion-1.1 policy * add functional test for deletion policy with hooks * add integration test for deletion policy with hooks Depends-On: I888a01c4f26959649121d6f82430017858a4c481 Change-Id: I5e2d4b0c073b515d9697cf91cd89ea0e6a3c81b8
130 lines
5.4 KiB
Python
130 lines
5.4 KiB
Python
# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# 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, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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from tempest.lib import decorators
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from senlin_tempest_plugin.common import constants
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from senlin_tempest_plugin.common import utils
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from senlin_tempest_plugin.tests.functional import base
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class TestScalingPolicy(base.BaseSenlinFunctionalTest):
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def setUp(self):
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super(TestScalingPolicy, self).setUp()
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self.profile_id = utils.create_a_profile(self)
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self.addCleanup(utils.delete_a_profile, self, self.profile_id)
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self.cluster_id = utils.create_a_cluster(self, self.profile_id,
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min_size=0, max_size=5,
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desired_capacity=1)
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self.addCleanup(utils.delete_a_cluster, self, self.cluster_id)
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@decorators.attr(type=['functional'])
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@decorators.idempotent_id('6b513a5d-75b6-447a-b95d-e17b84ac9ee8')
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def test_scaling_policy(self):
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# Create a scaling policy targets on CLUSTER_SCALE_OUT action
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spec = constants.spec_scaling_policy
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spec['properties'] = {
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'event': 'CLUSTER_SCALE_OUT',
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'adjustment': {
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'type': 'CHANGE_IN_CAPACITY',
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'number': 2,
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'min_step': 1,
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'best_effort': True
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}
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}
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policy_id = utils.create_a_policy(self, spec)
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scaleout_policy = utils.get_a_policy(self, policy_id)
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self.addCleanup(utils.delete_a_policy, self, scaleout_policy['id'])
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# Create a scaling policy targets on CLUSTER_SCALE_IN action
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spec['properties'] = {
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'event': 'CLUSTER_SCALE_IN',
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'adjustment': {
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'type': 'CHANGE_IN_PERCENTAGE',
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'number': 50,
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'min_step': 2,
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'best_effort': False
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}
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}
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policy_id = utils.create_a_policy(self, spec)
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scalein_policy = utils.get_a_policy(self, policy_id)
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self.addCleanup(utils.delete_a_policy, self, scalein_policy['id'])
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# Attach scale in/out policies to cluster
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for policy in [scaleout_policy, scalein_policy]:
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utils.cluster_attach_policy(self, self.cluster_id, policy['id'])
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self.addCleanup(utils.cluster_detach_policy, self,
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self.cluster_id, policy['id'])
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# Scale out cluster without count specified
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utils.cluster_scale_out(self, self.cluster_id)
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# Verify scale out result
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cluster = utils.get_a_cluster(self, self.cluster_id)
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self.assertEqual('ACTIVE', cluster['status'])
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self.assertEqual(3, cluster['desired_capacity'])
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self.assertEqual(3, len(cluster['nodes']))
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# Scale out cluster with count set to 1
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utils.cluster_scale_out(self, self.cluster_id, count=1)
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# Verify scale out result
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cluster = utils.get_a_cluster(self, self.cluster_id)
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self.assertEqual('ACTIVE', cluster['status'])
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self.assertEqual(4, cluster['desired_capacity'])
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self.assertEqual(4, len(cluster['nodes']))
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# Keep scaling out cluster with count set to 2 to
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# verify best_effort parameter
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utils.cluster_scale_out(self, self.cluster_id, count=2)
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# Verify scale out result
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cluster = utils.get_a_cluster(self, self.cluster_id)
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self.assertEqual('ACTIVE', cluster['status'])
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self.assertEqual(5, cluster['desired_capacity'])
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self.assertEqual(5, len(cluster['nodes']))
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# Scale in cluster without count specified
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utils.cluster_scale_in(self, self.cluster_id)
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# Verify scale in result
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cluster = utils.get_a_cluster(self, self.cluster_id)
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self.assertEqual('ACTIVE', cluster['status'])
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self.assertEqual(3, cluster['desired_capacity'])
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self.assertEqual(3, len(cluster['nodes']))
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# Scale in cluster without count specified to
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# verify min_step parameter
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utils.cluster_scale_in(self, self.cluster_id)
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# Verify scale in result
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cluster = utils.get_a_cluster(self, self.cluster_id)
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self.assertEqual('ACTIVE', cluster['status'])
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self.assertEqual(1, cluster['desired_capacity'])
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self.assertEqual(1, len(cluster['nodes']))
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# Keep scaling in cluster with count set to 2 to
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# verify best_effort parameter
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res, action_id = utils.cluster_scale_in(self, self.cluster_id, count=2,
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expected_status='FAILED')
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# Verify action result and action failure reason
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cluster = utils.get_a_cluster(self, self.cluster_id)
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self.assertEqual('ACTIVE', cluster['status'])
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self.assertEqual(1, cluster['desired_capacity'])
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self.assertEqual(1, len(cluster['nodes']))
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reason = ("Policy check failure: Failed policy '%s': The target "
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"capacity (-1) is less than the cluster's "
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"min_size (0).") % scalein_policy['name']
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self.assertEqual(reason, res)
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