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import pandas as pd

from numba import types

from .types import CategoricalDtypeType


def from_dtype(pdtype):
    """
    Return a Numba Type instance corresponding to the given Pandas *dtype*.
    NotImplementedError is raised if unsupported Pandas dtypes.
    """
    # TODO: use issubclass
    if isinstance(pdtype, pd.CategoricalDtype):
        if pdtype.categories is None:
            categories = None
        else:
            categories = list(pdtype.categories)
        return CategoricalDtypeType(categories=categories,
                                    ordered=pdtype.ordered)

    raise NotImplementedError("%r cannot be represented as a Numba type"
                              % (pdtype,))


def as_dtype(nbtype):
    """
    Return a Pandas *dtype* instance corresponding to the given Numba type.
    NotImplementedError is raised if no correspondence is known.
    """
    nbtype = types.unliteral(nbtype)
    if isinstance(nbtype, CategoricalDtypeType):
        return pd.CategoricalDtype(categories=nbtype.categories,
                                   ordered=nbtype.ordered)

    raise NotImplementedError("%r cannot be represented as a Pandas dtype"
                              % (nbtype,))
