content: #  Copyright (c) ZenML GmbH 2022. 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:
  #
  #       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.
  """Initialization of the whylogs integration."""
  
  from typing import List, Type, Optional
  
  from zenml.integrations.constants import WHYLOGS
  from zenml.integrations.integration import Integration
  from zenml.stack import Flavor
  
  WHYLOGS_DATA_VALIDATOR_FLAVOR = "whylogs"
  
  
  class WhylogsIntegration(Integration):
      """Definition of [whylogs](https://github.com/whylabs/whylogs) integration for ZenML."""
  
      NAME = WHYLOGS
      REQUIREMENTS = ["whylogs[viz]~=1.0.5", "whylogs[whylabs]~=1.0.5"]
  
      REQUIREMENTS_IGNORED_ON_UNINSTALL = ["pandas"]
  
      @classmethod
      def activate(cls) -> None:
          """Activates the integration."""
          from zenml.integrations.whylogs import materializers  # noqa
          from zenml.integrations.whylogs import secret_schemas  # noqa
  
      @classmethod
      def flavors(cls) -> List[Type[Flavor]]:
          """Declare the stack component flavors for the Great Expectations integration.
  
          Returns:
              List of stack component flavors for this integration.
          """
          from zenml.integrations.whylogs.flavors import (
              WhylogsDataValidatorFlavor,
          )
  
          return [WhylogsDataValidatorFlavor]
  
      @classmethod
      def get_requirements(cls, target_os: Optional[str] = None, python_version: Optional[str] = None
      ) -> List[str]:
          """Method to get the requirements for the integration.
  
          Args:
              target_os: The target operating system to get the requirements for.
              python_version: The Python version to use for the requirements.
  
          Returns:
              A list of requirements.
          """
          from zenml.integrations.pandas import PandasIntegration
  
          return cls.REQUIREMENTS + \
              PandasIntegration.get_requirements(target_os=target_os, python_version=python_version)
  
  
  