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:
  #
  #       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.
  """Deepchecks integration for ZenML.
  
  The Deepchecks integration provides a way to validate your data in your
  pipelines. It includes a way to detect data anomalies and define checks to
  ensure quality of data.
  
  The integration includes custom materializers to store and visualize Deepchecks
  `SuiteResults`.
  """
  
  from typing import List, Type, Optional
  
  from zenml.integrations.constants import DEEPCHECKS, PANDAS
  from zenml.integrations.integration import Integration
  from zenml.stack import Flavor
  
  DEEPCHECKS_DATA_VALIDATOR_FLAVOR = "deepchecks"
  
  
  class DeepchecksIntegration(Integration):
      """Definition of [Deepchecks](https://github.com/deepchecks/deepchecks) integration for ZenML."""
  
      NAME = DEEPCHECKS
      REQUIREMENTS = [
          "deepchecks[vision]~=0.18.0",
          "torchvision>=0.14.0",
          "opencv-python==4.5.5.64",  # pin to same version
          "opencv-python-headless==4.5.5.64",  # pin to same version
          "tenacity!=8.4.0",  # https://github.com/jd/tenacity/issues/471
          # The deepchecks integrations requires pandas to work.
          # However, their version 0.18.0 is still not compatible with
          # pandas>=2.2.0, so we limit the version here.
          "pandas<2.2.0",
          # ipython 9.0.0 removes the `deepchecks.core.display` module,
          # so we need to pin the version here.
          "ipython<9.0.0",
      ]
  
      APT_PACKAGES = ["ffmpeg", "libsm6", "libxext6"]
      REQUIREMENTS_IGNORED_ON_UNINSTALL = ["pandas", "torchvision", "tenacity"]
  
      @classmethod
      def activate(cls) -> None:
          """Activate the Deepchecks integration."""
          from zenml.integrations.deepchecks import materializers  # noqa
  
      @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)
  
      @classmethod
      def flavors(cls) -> List[Type[Flavor]]:
          """Declare the stack component flavors for the Deepchecks integration.
  
          Returns:
              List of stack component flavors for this integration.
          """
          from zenml.integrations.deepchecks.flavors import (
              DeepchecksDataValidatorFlavor,
          )
  
          return [DeepchecksDataValidatorFlavor]
  
  