# Licensed under a 3-clause BSD style license - see LICENSE.rst

from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

from collections import OrderedDict

import numpy as np

from ..utils.misc import isiterable

__all__ = ['FlagCollection']


class FlagCollection(OrderedDict):
    """
    The purpose of this class is to provide a dictionary for
    containing arrays of flags for the `NDData` class. Flags should be
    stored in Numpy arrays that have the same dimensions as the parent
    data, so the `FlagCollection` class adds shape checking to an
    ordered dictionary class.

    The `FlagCollection` should be initialized like an
    `~collections.OrderedDict`, but with the addition of a ``shape=``
    keyword argument used to pass the NDData shape.
    """

    def __init__(self, *args, **kwargs):

        if 'shape' in kwargs:
            self.shape = kwargs.pop('shape')
            if not isiterable(self.shape):
                raise ValueError("FlagCollection shape should be "
                                 "an iterable object")
        else:
            raise Exception("FlagCollection should be initialized with "
                            "the shape of the data")

        OrderedDict.__init__(self, *args, **kwargs)

    def __setitem__(self, item, value, **kwargs):

        if isinstance(value, np.ndarray):
            if value.shape == self.shape:
                OrderedDict.__setitem__(self, item, value, **kwargs)
            else:
                raise ValueError("flags array shape {0} does not match data "
                                 "shape {1}".format(value.shape, self.shape))
        else:
            raise TypeError("flags should be given as a Numpy array")
