name: Convert CatBoostModel to AppleCoreMLModel
description: |-
  Convert CatBoost model to Apple CoreML format.

      Args:
          model_path: Path of a trained model in binary CatBoost model format.
          converted_model_path: Output path for the converted model.

      Outputs:
          converted_model: Model in Apple CoreML format.

      Annotations:
          author: Alexey Volkov <alexey.volkov@ark-kun.com>
inputs:
- {name: model, type: CatBoostModel}
outputs:
- {name: converted_model, type: AppleCoreMLModel}
implementation:
  container:
    image: python:3.7
    command:
    - sh
    - -c
    - (PIP_DISABLE_PIP_VERSION_CHECK=1 python3 -m pip install --quiet --no-warn-script-location
      'catboost==0.22' || PIP_DISABLE_PIP_VERSION_CHECK=1 python3 -m pip install --quiet
      --no-warn-script-location 'catboost==0.22' --user) && "$0" "$@"
    - python3
    - -u
    - -c
    - |
      def _make_parent_dirs_and_return_path(file_path: str):
          import os
          os.makedirs(os.path.dirname(file_path), exist_ok=True)
          return file_path

      def convert_CatBoostModel_to_AppleCoreMLModel(
          model_path,
          converted_model_path,
      ):
          '''Convert CatBoost model to Apple CoreML format.

          Args:
              model_path: Path of a trained model in binary CatBoost model format.
              converted_model_path: Output path for the converted model.

          Outputs:
              converted_model: Model in Apple CoreML format.

          Annotations:
              author: Alexey Volkov <alexey.volkov@ark-kun.com>
          '''
          from catboost import CatBoost

          model = CatBoost()
          model.load_model(model_path)
          model.save_model(
              converted_model_path,
              format="coreml",
              # export_parameters={'prediction_type': 'probability'},
              # export_parameters={'prediction_type': 'raw'},
          )

      import argparse
      _parser = argparse.ArgumentParser(prog='Convert CatBoostModel to AppleCoreMLModel', description='Convert CatBoost model to Apple CoreML format.\n\n    Args:\n        model_path: Path of a trained model in binary CatBoost model format.\n        converted_model_path: Output path for the converted model.\n\n    Outputs:\n        converted_model: Model in Apple CoreML format.\n\n    Annotations:\n        author: Alexey Volkov <alexey.volkov@ark-kun.com>')
      _parser.add_argument("--model", dest="model_path", type=str, required=True, default=argparse.SUPPRESS)
      _parser.add_argument("--converted-model", dest="converted_model_path", type=_make_parent_dirs_and_return_path, required=True, default=argparse.SUPPRESS)
      _parsed_args = vars(_parser.parse_args())

      _outputs = convert_CatBoostModel_to_AppleCoreMLModel(**_parsed_args)
    args:
    - --model
    - {inputPath: model}
    - --converted-model
    - {outputPath: converted_model}