c1b63d1eef
Test does the following: 1. Creates an instances with LoadBalancer 2. Increased desired capacity 3. Check that LB resources has been increased Test replaces test_neutron_autoscaling unittest. Part of blueprint decouple-nested. Change-Id: I3b4924bfe3e427ffc77b23e0a3b6b08accfa39eb
124 lines
4.1 KiB
Python
124 lines
4.1 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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test_template = '''
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heat_template_version: 2014-10-16
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description: Auto-scaling Test
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parameters:
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image_id:
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type: string
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label: Image ID
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description: Image ID from configurations
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capacity:
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type: string
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label: Capacity
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description: Auto-scaling group desired capacity
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fixed_subnet_name:
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type: string
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label: fixed subnetwork ID
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description: subnetwork ID used for autoscaling
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instance_type:
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type: string
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label: instance_type
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description: type of instance to launch
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resources:
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test_pool:
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type: OS::Neutron::Pool
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properties:
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description: Test Pool
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lb_method: ROUND_ROBIN
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name: test_pool
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protocol: HTTP
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subnet: { get_param: fixed_subnet_name }
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vip: {
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"description": "Test VIP",
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"protocol_port": 80,
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"name": "test_vip"
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}
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load_balancer:
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type: OS::Neutron::LoadBalancer
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properties:
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protocol_port: 80
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pool_id: { get_resource: test_pool }
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launch_config:
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type: AWS::AutoScaling::LaunchConfiguration
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properties:
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ImageId: { get_param: image_id }
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InstanceType: { get_param: instance_type }
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server_group:
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type: AWS::AutoScaling::AutoScalingGroup
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properties:
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AvailabilityZones : ["nova"]
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LaunchConfigurationName : { get_resource : launch_config }
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MinSize : 1
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MaxSize : 5
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DesiredCapacity: { get_param: capacity }
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LoadBalancerNames : [ { get_resource : load_balancer } ]
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'''
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class NeutronAutoscalingTest(test.HeatIntegrationTest):
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""""
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The class is responsible for testing of neutron resources autoscaling.
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"""
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def setUp(self):
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super(NeutronAutoscalingTest, self).setUp()
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self.client = self.orchestration_client
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if not self.conf.minimal_image_ref:
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raise self.skipException("No minimal image configured to test")
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if not self.conf.instance_type:
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raise self.skipException("No flavor configured to test")
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if not self.conf.fixed_subnet_name:
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raise self.skipException("No sub-network configured to test")
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def test_neutron_autoscaling(self):
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"""
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Check autoscaling of load balancer members in heat.
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The alternative scenario is the following:
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1. Initialize environment variables.
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2. Create a stack with a load balancer.
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3. Check that the load balancer created
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one load balancer member for stack.
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4. Update stack definition: increase desired capacity of stack.
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5. Check that number of members in load balancer was increased.
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"""
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# Init env variables
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env = {'parameters': {"image_id": self.conf.minimal_image_ref,
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"capacity": "1",
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"instance_type": self.conf.instance_type,
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"fixed_subnet_name":
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self.conf.fixed_subnet_name,
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}}
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# Create stack
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stack_id = self.stack_create(template=test_template,
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environment=env)
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members = self.network_client.list_members()
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self.assertEqual(1, len(members["members"]))
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# Increase desired capacity and update the stack
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env["parameters"]["capacity"] = "2"
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self.update_stack(stack_id,
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template=test_template,
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environment=env)
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upd_members = self.network_client.list_members()
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self.assertEqual(2, len(upd_members["members"])) |