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from pyflink.ml.api.param import WithParams, ParamInfo, TypeConverters


class HasSelectedCols(WithParams):
    """
    An interface for classes with a parameter specifying the name of multiple table columns.

    .. versionadded:: 1.11.0
    """

    selected_cols = ParamInfo(
        "selectedCols",
        "Names of the columns used for processing",
        is_optional=False,
        type_converter=TypeConverters.to_list_string)

    def set_selected_cols(self, v: list) -> 'HasSelectedCols':
        return super().set(self.selected_cols, v)

    def get_selected_cols(self) -> list:
        return super().get(self.selected_cols)


class HasOutputCol(WithParams):
    """
    An interface for classes with a parameter specifying the name of the output column.

    .. versionadded:: 1.11.0
    """

    output_col = ParamInfo(
        "outputCol",
        "Name of the output column",
        is_optional=False,
        type_converter=TypeConverters.to_string)

    def set_output_col(self, v: str) -> 'HasOutputCol':
        return super().set(self.output_col, v)

    def get_output_col(self) -> str:
        return super().get(self.output_col)


class HasPredictionCol(WithParams):
    """
    An interface for classes with a parameter specifying the column name of the prediction.

    .. versionadded:: 1.11.0
    """
    prediction_col = ParamInfo(
        "predictionCol",
        "Column name of prediction.",
        is_optional=False,
        type_converter=TypeConverters.to_string)

    def set_prediction_col(self, v: str) -> 'HasPredictionCol':
        return super().set(self.prediction_col, v)

    def get_prediction_col(self) -> str:
        return super().get(self.prediction_col)