Source code for watcher.decision_engine.goal.efficacy.base
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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())