In watcher, an audit generates a set of actions which aims at achieving a given goal (lower energy consumption, ...). It is possible to configure different strategies in order to achieve each goal. Each strategy is written as a Python class which produces a set of actions. Today, the set of possible actions is fixed for a given version of Watcher and enables optimization algorithms to include actions such as instance migration, changing hypervisor state, changing power state (ACPI level, ...). The objective of this patchset is to give the ability to load the actions dynamically in order to apply the Action Plan. DocImpact Partially implements: blueprint watcher-add-actions-via-conf Change-Id: Idf295b94dca549ac65d4636e8889c8ab2ecc0df6
121 lines
4.1 KiB
Python
121 lines
4.1 KiB
Python
# -*- encoding: utf-8 -*-
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# Copyright (c) 2015 b<>com
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#
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# Authors: Jean-Emile DARTOIS <jean-emile.dartois@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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#
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from oslo_log import log
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from watcher._i18n import _LW
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from watcher.common import utils
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from watcher.decision_engine.planner import base
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from watcher import objects
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LOG = log.getLogger(__name__)
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class DefaultPlanner(base.BasePlanner):
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priorities = {
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'nop': 0,
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'migrate': 1,
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'change_nova_service_state': 2,
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}
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def create_action(self,
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action_plan_id,
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action_type,
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applies_to,
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input_parameters=None):
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uuid = utils.generate_uuid()
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action = {
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'uuid': uuid,
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'action_plan_id': int(action_plan_id),
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'action_type': action_type,
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'applies_to': applies_to,
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'input_parameters': input_parameters,
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'state': objects.action.Status.PENDING,
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'alarm': None,
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'next': None,
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}
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return action
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def schedule(self, context, audit_id, solution):
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LOG.debug('Create an action plan for the audit uuid')
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action_plan = self._create_action_plan(context, audit_id)
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actions = list(solution.actions)
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to_schedule = []
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for action in actions:
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json_action = self.create_action(action_plan_id=action_plan.id,
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action_type=action.get(
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'action_type'),
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applies_to=action.get(
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'applies_to'),
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input_parameters=action.get(
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'input_parameters'))
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to_schedule.append((self.priorities[action.get('action_type')],
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json_action))
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# scheduling
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scheduled = sorted(to_schedule, key=lambda x: (x[0]))
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if len(scheduled) == 0:
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LOG.warning(_LW("The action plan is empty"))
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action_plan.first_action_id = None
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action_plan.save()
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else:
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parent_action = self._create_action(context,
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scheduled[0][1],
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None)
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scheduled.pop(0)
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action_plan.first_action_id = parent_action.id
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action_plan.save()
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for s_action in scheduled:
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action = self._create_action(context, s_action[1],
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parent_action)
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parent_action = action
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return action_plan
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def _create_action_plan(self, context, audit_id):
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action_plan_dict = {
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'uuid': utils.generate_uuid(),
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'audit_id': audit_id,
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'first_action_id': None,
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'state': objects.action_plan.Status.RECOMMENDED
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}
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new_action_plan = objects.ActionPlan(context, **action_plan_dict)
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new_action_plan.create(context)
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new_action_plan.save()
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return new_action_plan
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def _create_action(self, context, _action, parent_action):
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action_description = str(_action)
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LOG.debug("Create a action for the following resquest : %s"
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% action_description)
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new_action = objects.Action(context, **_action)
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new_action.create(context)
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new_action.save()
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if parent_action:
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parent_action.next = new_action.id
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parent_action.save()
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return new_action
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