import abc from traits.api import ABCHasStrictTraits, Instance from ..data_sources.i_data_source_factory import IDataSourceFactory class BaseDataSource(ABCHasStrictTraits): """Base class for the DataSource, any computational engine/retriever for data. Inherit from this class for your specific DataSource. """ #: A reference to the factory factory = Instance(IDataSourceFactory) def __init__(self, factory, *args, **kwargs): self.factory = factory super(BaseDataSource, self).__init__(*args, **kwargs) @abc.abstractmethod def run(self, model, parameters): """ Executes the Data Source evaluation and returns the results it computes. Reimplement this method in your specific DataSource. Parameters ---------- model: BaseDataSourceModel The model of the DataSource, instantiated through create_model() parameters: List(DataValue) a list of DataValue objects containing the information needed for the execution of the DataSource. Returns ------- List(DataValue) A list containing the computed Data Values. """ @abc.abstractmethod def slots(self, model): """Returns the input (and output) slots of the DataSource. Slots are the entities that are needed (and produced) by this DataSource. 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: BaseDataSourceModel The model of the DataSource, 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 DataSource does not need any information from the MCO to operate. The case of an empty output slot is uncommon, but supported: the DataSource does not produce any output and is therefore useless. """