Files
watcher/watcher/decision_engine/strategy/strategies/base.py
Vincent Françoise 2544327979 Decoupled Goal from Strategy
In this changeset, I decoupled the notion of Goal from the Strategy
by making it a distinct object. Goals are plugins that can be loaded
just like for the strategies.

Partially Implements: blueprint efficacy-indicator

Change-Id: I4378dccd508170b305aa968843228bbc8af78895
2016-06-08 14:00:43 +02:00

213 lines
6.1 KiB
Python

# -*- encoding: utf-8 -*-
# Copyright (c) 2015 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.
"""
A :ref:`Strategy <strategy_definition>` is an algorithm implementation which is
able to find a :ref:`Solution <solution_definition>` for a given
:ref:`Goal <goal_definition>`.
There may be several potential strategies which are able to achieve the same
:ref:`Goal <goal_definition>`. This is why it is possible to configure which
specific :ref:`Strategy <strategy_definition>` should be used for each
:ref:`Goal <goal_definition>`.
Some strategies may provide better optimization results but may take more time
to find an optimal :ref:`Solution <solution_definition>`.
When a new :ref:`Goal <goal_definition>` is added to the Watcher configuration,
at least one default associated :ref:`Strategy <strategy_definition>` should be
provided as well.
:ref:`Some default implementations are provided <watcher_strategies>`, but it
is possible to :ref:`develop new implementations <implement_strategy_plugin>`
which are dynamically loaded by Watcher at launch time.
"""
import abc
import six
from watcher._i18n import _
from watcher.common import clients
from watcher.common.loader import loadable
from watcher.decision_engine.loading import default as loading
from watcher.decision_engine.solution import default
from watcher.decision_engine.strategy.common import level
@six.add_metaclass(abc.ABCMeta)
class BaseStrategy(loadable.Loadable):
"""A base class for all the strategies
A Strategy is an algorithm implementation which is able to find a
Solution for a given Goal.
"""
def __init__(self, config, osc=None):
""":param osc: an OpenStackClients instance"""
super(BaseStrategy, self).__init__(config)
self._name = self.get_name()
self._display_name = self.get_display_name()
# default strategy level
self._strategy_level = level.StrategyLevel.conservative
self._cluster_state_collector = None
# the solution given by the strategy
self._solution = default.DefaultSolution()
self._osc = osc
@classmethod
@abc.abstractmethod
def get_name(cls):
"""The name of the strategy"""
raise NotImplementedError()
@classmethod
@abc.abstractmethod
def get_display_name(cls):
"""The goal display name for the strategy"""
raise NotImplementedError()
@classmethod
@abc.abstractmethod
def get_translatable_display_name(cls):
"""The translatable msgid of the strategy"""
# Note(v-francoise): Defined here to be used as the translation key for
# other services
raise NotImplementedError()
@classmethod
@abc.abstractmethod
def get_goal_name(cls):
"""The goal name for the strategy"""
raise NotImplementedError()
@classmethod
def get_goal(cls):
"""The goal the strategy achieves"""
goal_loader = loading.DefaultGoalLoader()
return goal_loader.load(cls.get_goal_name())
@classmethod
def get_config_opts(cls):
"""Defines the configuration options to be associated to this loadable
:return: A list of configuration options relative to this Loadable
:rtype: list of :class:`oslo_config.cfg.Opt` instances
"""
return []
@abc.abstractmethod
def execute(self, original_model):
"""Execute a strategy
:param original_model: The model the strategy is executed on
:type model: str
:return: A computed solution (via a placement algorithm)
:rtype: :class:`watcher.decision_engine.solution.base.BaseSolution`
"""
@property
def osc(self):
if not self._osc:
self._osc = clients.OpenStackClients()
return self._osc
@property
def solution(self):
return self._solution
@solution.setter
def solution(self, s):
self._solution = s
@property
def name(self):
return self._name
@property
def display_name(self):
return self._display_name
@property
def strategy_level(self):
return self._strategy_level
@strategy_level.setter
def strategy_level(self, s):
self._strategy_level = s
@property
def state_collector(self):
return self._cluster_state_collector
@state_collector.setter
def state_collector(self, s):
self._cluster_state_collector = s
@six.add_metaclass(abc.ABCMeta)
class DummyBaseStrategy(BaseStrategy):
@classmethod
def get_goal_name(cls):
return "dummy"
@six.add_metaclass(abc.ABCMeta)
class UnclassifiedStrategy(BaseStrategy):
"""This base class is used to ease the development of new strategies
The goal defined within this strategy can be used to simplify the
documentation explaining how to implement a new strategy plugin by
ommitting the need for the strategy developer to define a goal straight
away.
"""
@classmethod
def get_goal_name(cls):
return "unclassified"
@six.add_metaclass(abc.ABCMeta)
class ServerConsolidationBaseStrategy(BaseStrategy):
@classmethod
def get_goal_name(cls):
return "server_consolidation"
@six.add_metaclass(abc.ABCMeta)
class ThermalOptimizationBaseStrategy(BaseStrategy):
@classmethod
def get_goal_name(cls):
return "thermal_optimization"
@six.add_metaclass(abc.ABCMeta)
class WorkloadStabilizationBaseStrategy(BaseStrategy):
@classmethod
def get_goal_name(cls):
return "workload_balancing"
@classmethod
def get_goal_display_name(cls):
return _("Workload balancing")
@classmethod
def get_translatable_goal_display_name(cls):
return "Workload balancing"