Source code for feast.feature_view_projection

from typing import TYPE_CHECKING, Dict, List, Optional

from attr import dataclass

from feast.field import Field
from feast.protos.feast.core.FeatureViewProjection_pb2 import (
    FeatureViewProjection as FeatureViewProjectionProto,

    from feast.base_feature_view import BaseFeatureView

[docs]@dataclass class FeatureViewProjection: """ A feature view projection represents a selection of one or more features from a single feature view. Attributes: name: The unique name of the feature view from which this projection is created. name_alias: An optional alias for the name. features: The list of features represented by the feature view projection. desired_features: The list of features that this feature view projection intends to select. If empty, the projection intends to select all features. This attribute is only used for feature service inference. It should only be set if the underlying feature view is not ready to be projected, i.e. still needs to go through feature inference. join_key_map: A map to modify join key columns during retrieval of this feature view projection. """ name: str name_alias: Optional[str] desired_features: List[str] features: List[Field] join_key_map: Dict[str, str] = {}
[docs] def name_to_use(self): return self.name_alias or
[docs] def to_proto(self) -> FeatureViewProjectionProto: feature_reference_proto = FeatureViewProjectionProto(, feature_view_name_alias=self.name_alias or "", join_key_map=self.join_key_map, ) for feature in self.features: feature_reference_proto.feature_columns.append(feature.to_proto()) return feature_reference_proto
[docs] @staticmethod def from_proto(proto: FeatureViewProjectionProto): feature_view_projection = FeatureViewProjection( name=proto.feature_view_name, name_alias=proto.feature_view_name_alias, features=[], join_key_map=dict(proto.join_key_map), desired_features=[], ) for feature_column in proto.feature_columns: feature_view_projection.features.append(Field.from_proto(feature_column)) return feature_view_projection
[docs] @staticmethod def from_definition(base_feature_view: "BaseFeatureView"): return FeatureViewProjection(, name_alias=None, features=base_feature_view.features, desired_features=[], )
[docs] def get_feature(self, feature_name: str) -> Field: try: return next(field for field in self.features if == feature_name) except StopIteration: raise KeyError( f"Feature {feature_name} not found in projection {self.name_to_use()}" )