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# -*- encoding: utf-8 -*-
# Copyright (c) 2016 b<>com
#
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
# implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import collections
import functools
from tempest import config
from tempest.lib.common.utils import test_utils
from tempest.lib import decorators
from watcher_tempest_plugin.tests.scenario import base
CONF = config.CONF
class TestExecuteActionsViaActuator(base.BaseInfraOptimScenarioTest):
# Minimal version required for _create_one_instance_per_host
compute_min_microversion = base.NOVA_API_VERSION_CREATE_WITH_HOST
scenarios = [
("nop", {"actions": [
{"action_type": "nop",
"input_parameters": {
"message": "hello World"}}]}),
("sleep", {"actions": [
{"action_type": "sleep",
"input_parameters": {
"duration": 1.0}}]}),
("change_nova_service_state", {"actions": [
{"action_type": "change_nova_service_state",
"input_parameters": {
"state": "enabled"},
"filling_function":
"_prerequisite_param_for_"
"change_nova_service_state_action"}]}),
("resize", {"actions": [
{"action_type": "resize",
"filling_function": "_prerequisite_param_for_resize_action"}]}),
("migrate", {"actions": [
{"action_type": "migrate",
"input_parameters": {
"migration_type": "live"},
"filling_function": "_prerequisite_param_for_migrate_action"},
{"action_type": "migrate",
"input_parameters": {
"migration_type": "cold"},
"filling_function": "_prerequisite_param_for_migrate_action"}]})
]
@classmethod
def resource_setup(cls):
super(TestExecuteActionsViaActuator, cls).resource_setup()
if CONF.compute.min_compute_nodes < 2:
raise cls.skipException(
"Less than 2 compute nodes, skipping multinode tests.")
if not CONF.compute_feature_enabled.live_migration:
raise cls.skipException("Live migration is not enabled")
enabled_compute_nodes = cls.get_enabled_compute_nodes()
cls.wait_for_compute_node_setup()
if len(enabled_compute_nodes) < 2:
raise cls.skipException(
"Less than 2 compute nodes are enabled, "
"skipping multinode tests.")
def _get_flavors(self):
return self.mgr.flavors_client.list_flavors()['flavors']
def _prerequisite_param_for_migrate_action(self):
# This test requires metrics injection
self.addCleanup(self.clean_injected_metrics)
created_instances = self._create_one_instance_per_host()
source_node = self.get_host_for_server(created_instances[0]['id'])
destination_node = self.get_host_other_than(created_instances[0]['id'])
for instance in created_instances:
self.make_instance_statistic(instance)
parameters = {
"resource_id": created_instances[0]['id'],
"migration_type": "live",
"source_node": source_node,
"destination_node": destination_node
}
return parameters
def _prerequisite_param_for_resize_action(self):
# This test requires metrics injection
self.addCleanup(self.clean_injected_metrics)
created_instances = self._create_one_instance_per_host()
for instance in created_instances:
self.make_instance_statistic(instance)
instance = created_instances[0]
current_flavor_name = instance['flavor']['original_name']
flavors = self._get_flavors()
new_flavors = [f for f in flavors if f['name'] != current_flavor_name]
new_flavor = new_flavors[0]
parameters = {
"resource_id": instance['id'],
"flavor": new_flavor['name']
}
return parameters
def _prerequisite_param_for_change_nova_service_state_action(self):
enabled_compute_node = self.get_enabled_compute_nodes()[0]
parameters = {
"resource_id": enabled_compute_node['host'],
"state": "enabled"
}
return parameters
def _fill_actions(self, actions):
for action in actions:
filling_function_name = action.pop('filling_function', None)
if filling_function_name is not None:
filling_function = getattr(self, filling_function_name, None)
if filling_function is not None:
parameters = filling_function()
resource_id = parameters.pop('resource_id', None)
if resource_id is not None:
action['resource_id'] = resource_id
input_parameters = action.get('input_parameters', None)
if input_parameters is not None:
parameters.update(input_parameters)
input_parameters.update(parameters)
else:
action['input_parameters'] = parameters
def _execute_actions(self, actions):
self.wait_for_all_action_plans_to_finish()
_, goal = self.client.show_goal("unclassified")
_, strategy = self.client.show_strategy("actuator")
_, audit_template = self.create_audit_template(
goal['uuid'], strategy=strategy['uuid'])
_, audit = self.create_audit(
audit_template['uuid'], parameters={"actions": actions})
self.assertTrue(test_utils.call_until_true(
func=functools.partial(self.has_audit_succeeded, audit['uuid']),
duration=30,
sleep_for=.5
))
_, action_plans = self.client.list_action_plans(
audit_uuid=audit['uuid'])
action_plan = action_plans['action_plans'][0]
_, action_plan = self.client.show_action_plan(action_plan['uuid'])
# Execute the action plan
_, updated_ap = self.client.start_action_plan(action_plan['uuid'])
self.assertTrue(test_utils.call_until_true(
func=functools.partial(
self.has_action_plan_finished, action_plan['uuid']),
duration=300,
sleep_for=1
))
_, finished_ap = self.client.show_action_plan(action_plan['uuid'])
_, action_list = self.client.list_actions(
action_plan_uuid=finished_ap["uuid"])
self.assertIn(updated_ap['state'], ('PENDING', 'ONGOING'))
self.assertIn(finished_ap['state'], ('SUCCEEDED', 'SUPERSEDED'))
expected_action_counter = collections.Counter(
act['action_type'] for act in actions)
action_counter = collections.Counter(
act['action_type'] for act in action_list['actions'])
self.assertEqual(expected_action_counter, action_counter)
@decorators.idempotent_id('0af1a181-38c8-4416-8e85-8ebca8ac1cf8')
def test_execute_scenarios(self):
self.addCleanup(self.rollback_compute_nodes_status)
for _, scenario in self.scenarios:
actions = scenario['actions']
self._fill_actions(actions)
self._execute_actions(actions)
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