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from traits.api import ABCHasStrictTraits, Instance
from .base_mco_model import BaseMCOModel
from ..bdss_application import BDSSApplication
class BaseMCOCommunicator(ABCHasStrictTraits):
"""Communicator class that defines how the MCO communicates
with the evaluator program that does the actual heavylifting of the
calculation.
The model assumes that the MCO spawns a process to perform the evaluation,
and passes data to this process that define the parameters for the
evaluation. Once completed, the evaluation will return a set of results,
that we interpret as KPIs. These KPIs are encoded in some form, which is
again specified by the MCO.
"""
#: A reference to the bundle
#: A reference to the application
application = Instance(BDSSApplication)
#: A reference to the model class
model = Instance(BaseMCOModel)
def __init__(self, bundle, application, model):
self.bundle = bundle
self.application = application
self.model = model
@abc.abstractmethod
def receive_from_mco(self):
"""
Receives the parameters from the MCO.
The conversion is specific to the format of the communication
between the MCO and its evaluator program.
Must return a single DataSourceParameters object, containing
the parameters as passed by the MCO.
Returns
-------
DataSourceParameters
An instance of the DataSourceParameters with the appropriate
information filled in.
"""
def send_to_mco(self, kpi_results):
"""Send the KPI results from the evaluation to the MCO
Must be reimplemented to perform the conversion between the
two formats. This is of course dependent on the specifics of the
MCO and how it interacts with the external evaluator program.
Parameters
----------
kpi_results: List(KPICalculatorResult)
A list of KPI calculator results, one per each KPI calculator.
"""