forked from mlrun/mlrun
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artifact.py
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/
artifact.py
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# Copyright 2018 Iguazio
#
# 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
#
# http://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.
#
import typing
import pydantic
from mlrun.api.utils.helpers import StrEnum
class ArtifactCategories(StrEnum):
model = "model"
dataset = "dataset"
other = "other"
def to_kinds_filter(self) -> typing.Tuple[typing.List[str], bool]:
# FIXME: these artifact definitions (or at least the kinds enum) should sit in a dedicated module
# import here to prevent import cycle
import mlrun.artifacts.dataset
import mlrun.artifacts.model
link_kind = mlrun.artifacts.base.LinkArtifact.kind
if self.value == ArtifactCategories.model.value:
return [mlrun.artifacts.model.ModelArtifact.kind, link_kind], False
if self.value == ArtifactCategories.dataset.value:
return [mlrun.artifacts.dataset.DatasetArtifact.kind, link_kind], False
if self.value == ArtifactCategories.other.value:
return (
[
mlrun.artifacts.model.ModelArtifact.kind,
mlrun.artifacts.dataset.DatasetArtifact.kind,
],
True,
)
class ArtifactIdentifier(pydantic.BaseModel):
# artifact kind
kind: typing.Optional[str]
key: typing.Optional[str]
iter: typing.Optional[int]
uid: typing.Optional[str]
# TODO support hash once saved as a column in the artifacts table
# hash: typing.Optional[str]
class ArtifactsFormat(StrEnum):
full = "full"
legacy = "legacy"