"""
Collection of functionality to make using iterators transparently easier
"""

__all__ = ("partition", "expandable_chain", "caching_iter", "iter_sort")

import itertools
from collections import deque


def partition(iterable, predicate=bool):
    """Partition an iterable into two iterables based on a given filter.

    Taking care that the predicate is called only once for each element.

    :param iterable: target iterable to split into two
    :param predicate: filtering function used to split the iterable
    :return: A tuple of iterators, the first containing items that don't match the
        filter and the second the matched items.
    """
    a, b = itertools.tee((predicate(x), x) for x in iterable)
    return ((x for pred, x in a if not pred), (x for pred, x in b if pred))


class expandable_chain:
    """
    chained iterables, with the ability to add new iterables to the chain
    as long as the instance hasn't raised ``StopIteration`` already.  This is
    fairly useful for implementing queues of things that must be processed.

    >>> from snakeoil.iterables import expandable_chain
    >>> l = range(5)
    >>> i = expandable_chain(l)
    >>> print(i.next())
    0
    >>> print(i.next())
    1
    >>> i.appendleft(range(5, 7))
    >>> print(i.next())
    5
    >>> print(i.next())
    6
    >>> print(i.next())
    2
    """

    __slot__ = ("iterables", "__weakref__")

    def __init__(self, *iterables):
        """
        accepts N iterables, must have at least one specified
        """
        self.iterables = deque()
        self.extend(iterables)

    def __iter__(self):
        return self

    def __next__(self):
        if self.iterables is not None:
            while self.iterables:
                try:
                    return next(self.iterables[0])
                except StopIteration:
                    self.iterables.popleft()
            self.iterables = None
        raise StopIteration()

    def append(self, iterable):
        """append an iterable to the chain to be consumed"""
        if self.iterables is None:
            raise StopIteration()
        self.iterables.append(iter(iterable))

    def appendleft(self, iterable):
        """prepend an iterable to the chain to be consumed"""
        if self.iterables is None:
            raise StopIteration()
        self.iterables.appendleft(iter(iterable))

    def extend(self, iterables):
        """extend multiple iterables to the chain to be consumed"""
        if self.iterables is None:
            raise StopIteration()
        self.iterables.extend(iter(x) for x in iterables)

    def extendleft(self, iterables):
        """prepend multiple iterables to the chain to be consumed"""
        if self.iterables is None:
            raise StopIteration()
        self.iterables.extendleft(iter(x) for x in iterables)


class caching_iter:
    """
    On demand consumes from an iterable so as to appear like a tuple

    >>> from snakeoil.iterables import caching_iter
    >>> i = iter(range(5))
    >>> ci = caching_iter(i)
    >>> print(ci[0])
    0
    >>> print(ci[2])
    2
    >>> print(i.next())
    3

    """

    __slots__ = ("iterable", "__weakref__", "cached_list", "sorter")

    def __init__(self, iterable, sorter=None):
        self.sorter = sorter
        self.iterable = iter(iterable)
        self.cached_list = []

    def __setitem__(self, key, val):
        raise TypeError("unmodifiable")

    def __getitem__(self, index):
        existing_len = len(self.cached_list)
        if self.iterable is not None and self.sorter:
            self.cached_list.extend(self.iterable)
            self.cached_list = tuple(self.sorter(self.cached_list))
            self.iterable = self.sorter = None
            existing_len = len(self.cached_list)

        if index < 0:
            if self.iterable is not None:
                self.cached_list = tuple(self.cached_list + list(self.iterable))
                self.iterable = None
                existing_len = len(self.cached_list)

            index = existing_len + index
            if index < 0:
                raise IndexError("list index out of range")

        elif index >= existing_len - 1:
            if self.iterable is not None:
                i = itertools.islice(self.iterable, 0, index - (existing_len - 1))
                self.cached_list.extend(i)
                if len(self.cached_list) - 1 != index:
                    # consumed, baby.
                    self.iterable = None
                    self.cached_list = tuple(self.cached_list)
                    raise IndexError("list index out of range")

        return self.cached_list[index]

    def _flatten(self):
        if self.iterable is not None:
            if self.sorter:
                self.cached_list.extend(self.iterable)
                self.cached_list = tuple(self.sorter(self.cached_list))
                self.sorter = None
            else:
                self.cached_list = tuple(self.cached_list + list(self.iterable))
            self.iterable = None

    def __lt__(self, other):
        self._flatten()
        for x, y in itertools.zip_longest(self.cached_list, other):
            if x != y:
                return x < y
        return False

    def __gt__(self, other):
        self._flatten()
        for x, y in itertools.zip_longest(self.cached_list, other):
            if x != y:
                return x > y
        return False

    def __le__(self, other):
        return self.__lt__(other) or self.__eq__(other)

    def __ge__(self, other):
        return not self.__lt__(other)

    def __eq__(self, other):
        self._flatten()
        return self.cached_list == other

    def __ne__(self, other):
        return not self.__eq__(other)

    def __bool__(self):
        if self.cached_list:
            return True

        if self.iterable:
            for x in self.iterable:
                self.cached_list.append(x)
                return True
            # if we've made it here... then nothing more in the iterable.
            self.iterable = self.sorter = None
            self.cached_list = ()
        return False

    def __len__(self):
        if self.iterable is not None:
            self.cached_list.extend(self.iterable)
            if self.sorter:
                self.cached_list = tuple(self.sorter(self.cached_list))
                self.sorter = None
            else:
                self.cached_list = tuple(self.cached_list)
            self.iterable = None
        return len(self.cached_list)

    def __iter__(self):
        if self.sorter is not None and self.iterable is not None:
            if self.cached_list:
                self.cached_list.extend(self.iterable)
                self.cached_list = tuple(self.sorter(self.cached_list))
            else:
                self.cached_list = tuple(self.sorter(self.iterable))
            self.iterable = self.sorter = None

        for x in self.cached_list:
            yield x
        if self.iterable is not None:
            for x in self.iterable:
                self.cached_list.append(x)
                yield x
        else:
            return
        self.iterable = None
        self.cached_list = tuple(self.cached_list)

    def __hash__(self):
        if self.iterable is not None:
            self.cached_list.extend(self.iterable)
            self.cached_list = tuple(self.cached_list)
            self.iterable = None
        return hash(self.cached_list)

    def __str__(self):
        return "iterable(%s), cached: %s" % (self.iterable, str(self.cached_list))


def iter_sort(sorter, *iterables):
    """Merge a number of sorted iterables into a single sorted iterable.

    :type sorter: callable.
    :param sorter: function, passed a list of [element, iterable].
    :param iterables: iterables to consume from.  It's **required**
       that each iterable to consume from is presorted already within
       that specific iterable.
    :return: yields items one by one in combined sorted order

    For example:

    >>> from snakeoil.iterables import iter_sort
    >>> iter1 = range(0, 5, 2)
    >>> iter2 = range(1, 6, 2)
    >>> # note that these lists will be consumed as they go,
    >>> # sorted is just being used to compare the individual items
    >>> sorted_iter = iter_sort(sorted, iter1, iter2)
    >>> print(list(sorted_iter))
    [0, 1, 2, 3, 4, 5]
    """
    l = []
    for x in iterables:
        try:
            x = iter(x)
            l.append([next(x), x])
        except StopIteration:
            pass
    if len(l) == 1:
        yield l[0][0]
        for x in l[0][1]:
            yield x
        return
    l = sorter(l)
    while l:
        yield l[0][0]
        for y in l[0][1]:
            l[0][0] = y
            break
        else:
            del l[0]
            if len(l) == 1:
                yield l[0][0]
                for x in l[0][1]:
                    yield x
                break
            continue
        l = sorter(l)
