content: #  Copyright (c) ZenML GmbH 2021. All Rights Reserved.
  #
  #  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.
  """Materializer for BentoML Bento objects."""
  
  import os
  from typing import TYPE_CHECKING, Any, ClassVar, Dict, Tuple, Type
  
  import bentoml
  from bentoml._internal.bento import Bento, bento
  from bentoml.exceptions import BentoMLException
  
  from zenml.enums import ArtifactType
  from zenml.integrations.bentoml.constants import DEFAULT_BENTO_FILENAME
  from zenml.logger import get_logger
  from zenml.materializers.base_materializer import BaseMaterializer
  from zenml.utils import io_utils
  
  if TYPE_CHECKING:
      from zenml.metadata.metadata_types import MetadataType
  
  logger = get_logger(__name__)
  
  
  class BentoMaterializer(BaseMaterializer):
      """Materializer for Bentoml Bento objects."""
  
      ASSOCIATED_TYPES: ClassVar[Tuple[Type[Any], ...]] = (bento.Bento,)
      ASSOCIATED_ARTIFACT_TYPE: ClassVar[ArtifactType] = ArtifactType.DATA
  
      def load(self, data_type: Type[bento.Bento]) -> bento.Bento:
          """Read from artifact store and return a Bento object.
  
          Args:
              data_type: An bento.Bento type.
  
          Returns:
              An bento.Bento object.
          """
          with self.get_temporary_directory(delete_at_exit=False) as temp_dir:
              # Copy from artifact store to temporary directory
              io_utils.copy_dir(self.uri, temp_dir)
  
              # Load the Bento from the temporary directory
              imported_bento = Bento.import_from(
                  os.path.join(temp_dir, DEFAULT_BENTO_FILENAME)
              )
  
              # Try save the Bento to the local BentoML store
              try:
                  _ = bentoml.get(imported_bento.tag)
              except BentoMLException:
                  imported_bento.save()
              return imported_bento
  
      def save(self, bento: bento.Bento) -> None:
          """Write to artifact store.
  
          Args:
              bento: An bento.Bento object.
          """
          with self.get_temporary_directory(delete_at_exit=True) as temp_dir:
              temp_bento_path = os.path.join(temp_dir, DEFAULT_BENTO_FILENAME)
              bentoml.export_bento(bento.tag, temp_bento_path)
              io_utils.copy_dir(temp_dir, self.uri)
  
      def extract_metadata(
          self, bento: bento.Bento
      ) -> Dict[str, "MetadataType"]:
          """Extract metadata from the given `Bento` object.
  
          Args:
              bento: The `Bento` object to extract metadata from.
  
          Returns:
              The extracted metadata as a dictionary.
          """
          return {
              "bento_info_name": bento.info.name,
              "bento_info_version": bento.info.version,
              "bento_tag_name": bento.tag.name,
              "bentoml_version": bento.info.bentoml_version,
          }
  