Source code for watcher.decision_engine.goal.efficacy.base
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# Copyright (c) 2016 b<>com
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# Licensed under the Apache License, Version 2.0 (the "License");
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"""
An efficacy specfication is a contract that is associated to each :ref:`Goal
<goal_definition>` that defines the various :ref:`efficacy indicators
<efficacy_indicator_definition>` a strategy achieving the associated goal
should provide within its :ref:`solution <solution_definition>`. Indeed, each
solution proposed by a strategy will be validated against this contract before
calculating its :ref:`global efficacy <efficacy_definition>`.
"""
import abc
from oslo_serialization import jsonutils
import six
import voluptuous
@six.add_metaclass(abc.ABCMeta)
[docs]class EfficacySpecification(object):
def __init__(self):
self._indicators_specs = self.get_indicators_specifications()
@property
def indicators_specs(self):
return self._indicators_specs
@abc.abstractmethod
[docs] def get_indicators_specifications(self):
"""List the specifications of the indicator for this efficacy spec
:return: Tuple of indicator specifications
:rtype: Tuple of :py:class:`~.IndicatorSpecification` instances
"""
raise NotImplementedError()
@abc.abstractmethod
[docs] def get_global_efficacy_indicator(self, indicators_map):
"""Compute the global efficacy for the goal it achieves
:param indicators_map: dict-like object containing the
efficacy indicators related to this spec
:type indicators_map: :py:class:`~.IndicatorsMap` instance
:raises: NotImplementedError
:returns: :py:class:`~.Indicator` instance
"""
raise NotImplementedError()
@property
def schema(self):
"""Combined schema from the schema of the indicators"""
schema = voluptuous.Schema({}, required=True)
for indicator in self.indicators_specs:
key_constraint = (voluptuous.Required
if indicator.required else voluptuous.Optional)
schema = schema.extend(
{key_constraint(indicator.name): indicator.schema.schema})
return schema
[docs] def validate_efficacy_indicators(self, indicators_map):
return self.schema(indicators_map)
[docs] def get_indicators_specs_dicts(self):
return [indicator.to_dict()
for indicator in self.indicators_specs]
[docs] def serialize_indicators_specs(self):
return jsonutils.dumps(self.get_indicators_specs_dicts())