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from traits.api import ABCHasStrictTraits, Instance
from .i_kpi_calculator_factory import IKPICalculatorFactory
class BaseKPICalculator(ABCHasStrictTraits):
"""Base class for the KPICalculators.
Inherit this class for your KPI calculator.
"""
factory = Instance(IKPICalculatorFactory)
def __init__(self, factory, *args, **kwargs):
self.factory = factory
super(BaseKPICalculator, self).__init__(*args, **kwargs)
def run(self, model, data_values):
"""
Executes the KPI evaluation and returns the results it computes.
Reimplement this method in your specific KPI calculator.
Parameters
----------
model: BaseKPICalculatorModel
The model of the KPI Calculator, instantiated through
create_model()
data_values:
a list of DataValue instances containing data from the
MCO and DataSources.
List[DataValue]:
The result of this KPI evaluation, as a list of DataValues.
"""
@abc.abstractmethod
def slots(self, model):
"""Returns the input (and output) slots of the KPI Calculator.
Slots are the entities that are needed (and produced) by this
KPI Calculator.
The slots may depend on the configuration options, and thus the model.
This allows, for example, to change the slots depending if an option
is enabled or not.
Parameters
----------
model: BaseKPICalculatorModel
The model of the KPICalculator, instantiated through create_model()
Returns
-------
(input_slots, output_slots): tuple[tuple, tuple]
A tuple containing two tuples.
The first element is the input slots, the second element is
the output slots. Each slot must be an instance of the Slot class.
It is possible for each of the two inside tuples to be empty.
The case of an empty input slot is common: the KPICalculator does
not need any information from the MCO to operate.
The case of an empty output slot is uncommon, but supported:
the KPICalculator does not produce any output and is therefore
useless.
"""