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  #  Licensed under the Apache License, Version 2.0 (the "License");
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  #
  #       https://www.apache.org/licenses/LICENSE-2.0
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  """Implementation of the Deepchecks model drift validation step."""
  
  from typing import Any, Dict, Optional, Sequence, cast
  
  import pandas as pd
  from deepchecks.core.suite import SuiteResult
  from sklearn.base import ClassifierMixin
  
  from zenml import step
  from zenml.integrations.deepchecks.data_validators.deepchecks_data_validator import (
      DeepchecksDataValidator,
  )
  from zenml.integrations.deepchecks.validation_checks import (
      DeepchecksModelDriftCheck,
  )
  
  
  @step
  def deepchecks_model_drift_check_step(
      reference_dataset: pd.DataFrame,
      target_dataset: pd.DataFrame,
      model: ClassifierMixin,
      check_list: Optional[Sequence[DeepchecksModelDriftCheck]] = None,
      dataset_kwargs: Optional[Dict[str, Any]] = None,
      check_kwargs: Optional[Dict[str, Any]] = None,
      run_kwargs: Optional[Dict[str, Any]] = None,
  ) -> SuiteResult:
      """Run model drift checks on two pandas DataFrames and an sklearn model.
  
      Args:
          reference_dataset: Reference dataset for the model drift check.
          target_dataset: Target dataset to be used for the model drift check.
          model: a scikit-learn model to validate
          check_list: Optional list of DeepchecksDataIntegrityCheck identifiers
              specifying the subset of Deepchecks data integrity checks to be
              performed. If not supplied, the entire set of data integrity checks
              will be performed.
          dataset_kwargs: Additional keyword arguments to be passed to the
              Deepchecks `tabular.Dataset` or `vision.VisionData` constructor.
          check_kwargs: Additional keyword arguments to be passed to the
              Deepchecks check object constructors. Arguments are grouped for
              each check and indexed using the full check class name or
              check enum value as dictionary keys.
          run_kwargs: Additional keyword arguments to be passed to the
              Deepchecks Suite `run` method.
  
      Returns:
          A Deepchecks suite result with the validation results.
      """
      data_validator = cast(
          DeepchecksDataValidator,
          DeepchecksDataValidator.get_active_data_validator(),
      )
  
      return data_validator.model_validation(
          dataset=reference_dataset,
          comparison_dataset=target_dataset,
          model=model,
          check_list=cast(Optional[Sequence[str]], check_list),
          dataset_kwargs=dataset_kwargs or {},
          check_kwargs=check_kwargs or {},
          run_kwargs=run_kwargs or {},
      )
  