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from abc import ABC, abstractmethod

from pyflink.ml.core.wrapper import JavaModel, JavaEstimator

JAVA_CLUSTERING_PACKAGE_NAME = "org.apache.flink.ml.clustering"


class JavaClusteringModel(JavaModel, ABC):
    """
    Wrapper class for a Java Clustering Model.
    """

    def __init__(self, java_model):
        super(JavaClusteringModel, self).__init__(java_model)

    @classmethod
    def _java_stage_path(cls) -> str:
        return ".".join(
            [JAVA_CLUSTERING_PACKAGE_NAME,
             cls._java_model_package_name(),
             cls._java_model_class_name()])

    @classmethod
    @abstractmethod
    def _java_model_package_name(cls) -> str:
        pass

    @classmethod
    @abstractmethod
    def _java_model_class_name(cls) -> str:
        pass


class JavaClusteringEstimator(JavaEstimator, ABC):
    """
    Wrapper class for a Java Clustering Estimator.
    """

    def __init__(self):
        super(JavaClusteringEstimator, self).__init__()

    @classmethod
    def _java_stage_path(cls):
        return ".".join(
            [JAVA_CLUSTERING_PACKAGE_NAME,
             cls._java_estimator_package_name(),
             cls._java_estimator_class_name()])

    @classmethod
    @abstractmethod
    def _java_estimator_package_name(cls) -> str:
        pass

    @classmethod
    @abstractmethod
    def _java_estimator_class_name(cls) -> str:
        pass