7109468b2f
As observed in the amqp job, we sometimes signal scale policy too fast, without waiting for the medata to be set. It creates a timeout. We can check the metadata of the policy before signaling again, to make sure that we can move forward. Change-Id: I9857803ef960efbd034f05985ec8fcc7272e2f70
216 lines
7.9 KiB
Python
216 lines
7.9 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 heat_integrationtests.common import test
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from heat_integrationtests.functional import functional_base
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class HeatAutoscalingTest(functional_base.FunctionalTestsBase):
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template = '''
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heat_template_version: 2014-10-16
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resources:
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random_group:
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type: OS::Heat::AutoScalingGroup
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properties:
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cooldown: 0
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desired_capacity: 3
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max_size: 5
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min_size: 2
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resource:
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type: OS::Heat::RandomString
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scale_up_policy:
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type: OS::Heat::ScalingPolicy
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properties:
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adjustment_type: change_in_capacity
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auto_scaling_group_id: { get_resource: random_group }
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scaling_adjustment: 1
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scale_down_policy:
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type: OS::Heat::ScalingPolicy
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properties:
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adjustment_type: change_in_capacity
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auto_scaling_group_id: { get_resource: random_group }
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scaling_adjustment: -1
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outputs:
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all_values:
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value: {get_attr: [random_group, outputs_list, value]}
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value_0:
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value: {get_attr: [random_group, resource.0.value]}
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value_1:
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value: {get_attr: [random_group, resource.1.value]}
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value_2:
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value: {get_attr: [random_group, resource.2.value]}
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asg_size:
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value: {get_attr: [random_group, current_size]}
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'''
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template_nested = '''
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heat_template_version: 2014-10-16
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resources:
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random_group:
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type: OS::Heat::AutoScalingGroup
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properties:
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desired_capacity: 3
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max_size: 5
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min_size: 2
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resource:
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type: randomstr.yaml
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outputs:
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all_values:
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value: {get_attr: [random_group, outputs_list, random_str]}
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value_0:
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value: {get_attr: [random_group, resource.0.random_str]}
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value_1:
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value: {get_attr: [random_group, resource.1.random_str]}
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value_2:
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value: {get_attr: [random_group, resource.2.random_str]}
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'''
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template_randomstr = '''
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heat_template_version: 2013-05-23
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resources:
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random_str:
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type: OS::Heat::RandomString
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outputs:
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random_str:
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value: {get_attr: [random_str, value]}
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'''
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def _assert_output_values(self, stack_id):
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stack = self.client.stacks.get(stack_id)
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all_values = self._stack_output(stack, 'all_values')
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self.assertEqual(3, len(all_values))
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self.assertEqual(all_values[0], self._stack_output(stack, 'value_0'))
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self.assertEqual(all_values[1], self._stack_output(stack, 'value_1'))
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self.assertEqual(all_values[2], self._stack_output(stack, 'value_2'))
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def test_asg_scale_up_max_size(self):
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stack_id = self.stack_create(template=self.template,
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expected_status='CREATE_COMPLETE')
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stack = self.client.stacks.get(stack_id)
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asg_size = self._stack_output(stack, 'asg_size')
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# Ensure that initial desired capacity is met
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self.assertEqual(3, asg_size)
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# send scale up signals and ensure that asg honors max_size
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asg = self.client.resources.get(stack_id, 'random_group')
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max_size = 5
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for num in range(asg_size+1, max_size+2):
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expected_resources = num if num <= max_size else max_size
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self.client.resources.signal(stack_id, 'scale_up_policy')
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self.assertTrue(
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test.call_until_true(self.conf.build_timeout,
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self.conf.build_interval,
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self.check_autoscale_complete,
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asg.physical_resource_id,
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expected_resources, stack_id,
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'scale_up_policy'))
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def test_asg_scale_down_min_size(self):
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stack_id = self.stack_create(template=self.template,
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expected_status='CREATE_COMPLETE')
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stack = self.client.stacks.get(stack_id)
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asg_size = self._stack_output(stack, 'asg_size')
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# Ensure that initial desired capacity is met
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self.assertEqual(3, asg_size)
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# send scale down signals and ensure that asg honors min_size
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asg = self.client.resources.get(stack_id, 'random_group')
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min_size = 2
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for num in range(asg_size-1, 0, -1):
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expected_resources = num if num >= min_size else min_size
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self.client.resources.signal(stack_id, 'scale_down_policy')
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self.assertTrue(
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test.call_until_true(self.conf.build_timeout,
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self.conf.build_interval,
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self.check_autoscale_complete,
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asg.physical_resource_id,
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expected_resources, stack_id,
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'scale_down_policy'))
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def test_asg_cooldown(self):
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cooldown_tmpl = self.template.replace('cooldown: 0',
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'cooldown: 10')
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stack_id = self.stack_create(template=cooldown_tmpl,
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expected_status='CREATE_COMPLETE')
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stack = self.client.stacks.get(stack_id)
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asg_size = self._stack_output(stack, 'asg_size')
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# Ensure that initial desired capacity is met
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self.assertEqual(3, asg_size)
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# send scale up signal.
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# Since cooldown is in effect, number of resources should not change
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asg = self.client.resources.get(stack_id, 'random_group')
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expected_resources = 3
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self.client.resources.signal(stack_id, 'scale_up_policy')
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self.assertTrue(
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test.call_until_true(self.conf.build_timeout,
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self.conf.build_interval,
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self.check_autoscale_complete,
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asg.physical_resource_id,
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expected_resources, stack_id,
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'scale_up_policy'))
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def test_path_attrs(self):
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stack_id = self.stack_create(template=self.template)
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expected_resources = {'random_group': 'OS::Heat::AutoScalingGroup',
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'scale_up_policy': 'OS::Heat::ScalingPolicy',
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'scale_down_policy': 'OS::Heat::ScalingPolicy'}
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self.assertEqual(expected_resources, self.list_resources(stack_id))
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self._assert_output_values(stack_id)
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def test_path_attrs_nested(self):
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files = {'randomstr.yaml': self.template_randomstr}
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stack_id = self.stack_create(template=self.template_nested,
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files=files)
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expected_resources = {'random_group': 'OS::Heat::AutoScalingGroup'}
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self.assertEqual(expected_resources, self.list_resources(stack_id))
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self._assert_output_values(stack_id)
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class AutoScalingGroupUpdateWithNoChanges(functional_base.FunctionalTestsBase):
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template = '''
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heat_template_version: 2013-05-23
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resources:
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test_group:
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type: OS::Heat::AutoScalingGroup
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properties:
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desired_capacity: 0
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max_size: 0
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min_size: 0
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resource:
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type: OS::Heat::RandomString
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test_policy:
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type: OS::Heat::ScalingPolicy
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properties:
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adjustment_type: change_in_capacity
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auto_scaling_group_id: { get_resource: test_group }
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scaling_adjustment: 1
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'''
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def test_as_group_update_without_resource_changes(self):
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stack_identifier = self.stack_create(template=self.template)
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new_template = self.template.replace(
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'scaling_adjustment: 1',
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'scaling_adjustment: 2')
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self.update_stack(stack_identifier, template=new_template)
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