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112 lines (93 loc) · 3.17 KB
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# Copyright 2020 The Feast Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import Dict, Optional
from feast.protos.feast.core.Feature_pb2 import FeatureSpecV2 as FeatureSpecProto
from feast.protos.feast.types import Value_pb2 as ValueTypeProto
from feast.value_type import ValueType
class Feature:
"""
A Feature represents a class of serveable feature.
Args:
name: Name of the feature.
dtype: The type of the feature, such as string or float.
labels (optional): User-defined metadata in dictionary form.
"""
def __init__(
self, name: str, dtype: ValueType, labels: Optional[Dict[str, str]] = None,
):
"""Creates a Feature object."""
self._name = name
if not isinstance(dtype, ValueType):
raise ValueError("dtype is not a valid ValueType")
if dtype is ValueType.UNKNOWN:
raise ValueError(f"dtype cannot be {dtype}")
self._dtype = dtype
if labels is None:
self._labels = dict()
else:
self._labels = labels
def __eq__(self, other):
if self.name != other.name or self.dtype != other.dtype:
return False
return True
def __lt__(self, other):
return self.name < other.name
def __repr__(self):
# return string representation of the reference
return f"{self.name}-{self.dtype}"
def __str__(self):
# readable string of the reference
return f"Feature<{self.__repr__()}>"
@property
def name(self):
"""
Gets the name of this feature.
"""
return self._name
@property
def dtype(self) -> ValueType:
"""
Gets the data type of this feature.
"""
return self._dtype
@property
def labels(self) -> Dict[str, str]:
"""
Gets the labels of this feature.
"""
return self._labels
def to_proto(self) -> FeatureSpecProto:
"""
Converts Feature object to its Protocol Buffer representation.
Returns:
A FeatureSpecProto protobuf.
"""
value_type = ValueTypeProto.ValueType.Enum.Value(self.dtype.name)
return FeatureSpecProto(
name=self.name, value_type=value_type, labels=self.labels,
)
@classmethod
def from_proto(cls, feature_proto: FeatureSpecProto):
"""
Args:
feature_proto: FeatureSpecV2 protobuf object
Returns:
Feature object
"""
feature = cls(
name=feature_proto.name,
dtype=ValueType(feature_proto.value_type),
labels=dict(feature_proto.labels),
)
return feature