from numbers import Real
from typing import Callable, Union, TypeVar

from golem.core.dag.graph import Graph
from golem.core.utilities.data_structures import ComparableEnum as Enum

from fedot.core.composer.metrics import (ComputationTime, Accuracy, F1, Logloss, MAE,
                                         MAPE, SMAPE, MSE, MSLE, Metric, NodeNum, Precision, R2,
                                         RMSE, ROCAUC, Silhouette, StructuralComplexity)


class MetricsEnum(Enum):
    pass


G = TypeVar('G', bound=Graph, covariant=True)
MetricCallable = Callable[[G], Real]
MetricType = Union[MetricCallable, MetricsEnum]


class QualityMetricsEnum(MetricsEnum):
    pass


class ComplexityMetricsEnum(MetricsEnum):
    node_num = 'node_number'
    structural = 'structural'
    computation_time = 'computation_time_in_seconds'


class ClusteringMetricsEnum(QualityMetricsEnum):
    silhouette = 'silhouette'


class ClassificationMetricsEnum(QualityMetricsEnum):
    ROCAUC = 'roc_auc'
    precision = 'precision'
    f1 = 'f1'
    logloss = 'neg_log_loss'
    ROCAUC_penalty = 'roc_auc_pen'
    accuracy = 'accuracy'


class RegressionMetricsEnum(QualityMetricsEnum):
    RMSE = 'rmse'
    MSE = 'mse'
    MSLE = 'neg_mean_squared_log_error'
    MAPE = 'mape'
    SMAPE = 'smape'
    MAE = 'mae'
    R2 = 'r2'
    RMSE_penalty = 'rmse_pen'


class MetricsRepository:
    _metrics_implementations = {
        # classification
        ClassificationMetricsEnum.ROCAUC: ROCAUC.get_value,
        ClassificationMetricsEnum.ROCAUC_penalty: ROCAUC.get_value_with_penalty,
        ClassificationMetricsEnum.f1: F1.get_value,
        ClassificationMetricsEnum.precision: Precision.get_value,
        ClassificationMetricsEnum.accuracy: Accuracy.get_value,
        ClassificationMetricsEnum.logloss: Logloss.get_value,

        # regression
        RegressionMetricsEnum.MAE: MAE.get_value,
        RegressionMetricsEnum.MSE: MSE.get_value,
        RegressionMetricsEnum.MSLE: MSLE.get_value,
        RegressionMetricsEnum.MAPE: MAPE.get_value,
        RegressionMetricsEnum.SMAPE: SMAPE.get_value,
        RegressionMetricsEnum.RMSE: RMSE.get_value,
        RegressionMetricsEnum.RMSE_penalty: RMSE.get_value_with_penalty,
        RegressionMetricsEnum.R2: R2.get_value,

        # clustering
        ClusteringMetricsEnum.silhouette: Silhouette.get_value,

        # structural
        ComplexityMetricsEnum.structural: StructuralComplexity.get_value,
        ComplexityMetricsEnum.node_num: NodeNum.get_value,
        ComplexityMetricsEnum.computation_time: ComputationTime.get_value
    }

    @staticmethod
    def metric_by_id(metric_id: MetricsEnum, default_callable: MetricCallable = None) -> MetricCallable:
        return MetricsRepository._metrics_implementations.get(metric_id, default_callable)

    @staticmethod
    def metric_class_by_id(metric_id: MetricsEnum) -> Metric:
        return MetricsRepository._metrics_implementations[metric_id].__self__()
