from collections import Mapping, MutableMapping
try:
    from threading import RLock
except ImportError: # Platform-specific: No threads available
    class RLock:
        def __enter__(self):
            pass

        def __exit__(self, exc_type, exc_value, traceback):
            pass


try: # Python 2.7+
    from collections import OrderedDict
except ImportError:
    from .packages.ordered_dict import OrderedDict
from six import itervalues


__all__ = ['RecentlyUsedContainer', 'HTTPHeaderDict']


_Null = object()


class RecentlyUsedContainer(MutableMapping):
    """
    Provides a thread-safe dict-like container which maintains up to
    ``maxsize`` keys while throwing away the least-recently-used keys beyond
    ``maxsize``.

    :param maxsize:
        Maximum number of recent elements to retain.

    :param dispose_func:
        Every time an item is evicted from the container,
        ``dispose_func(value)`` is called.  Callback which will get called
    """

    ContainerCls = OrderedDict

    def __init__(self, maxsize=10, dispose_func=None):
        self._maxsize = maxsize
        self.dispose_func = dispose_func

        self._container = self.ContainerCls()
        self.lock = RLock()

    def __getitem__(self, key):
        # Re-insert the item, moving it to the end of the eviction line.
        with self.lock:
            item = self._container.pop(key)
            self._container[key] = item
            return item

    def __setitem__(self, key, value):
        evicted_value = _Null
        with self.lock:
            # Possibly evict the existing value of 'key'
            evicted_value = self._container.get(key, _Null)
            self._container[key] = value

            # If we didn't evict an existing value, we might have to evict the
            # least recently used item from the beginning of the container.
            if len(self._container) > self._maxsize:
                _key, evicted_value = self._container.popitem(last=False)

        if self.dispose_func and evicted_value is not _Null:
            self.dispose_func(evicted_value)

    def __delitem__(self, key):
        with self.lock:
            value = self._container.pop(key)

        if self.dispose_func:
            self.dispose_func(value)

    def __len__(self):
        with self.lock:
            return len(self._container)

    def __iter__(self):
        raise NotImplementedError('Iteration over this class is unlikely to be threadsafe.')

    def clear(self):
        with self.lock:
            # Copy pointers to all values, then wipe the mapping
            # under Python 2, this copies the list of values twice :-|
            values = list(self._container.values())
            self._container.clear()

        if self.dispose_func:
            for value in values:
                self.dispose_func(value)

    def keys(self):
        with self.lock:
            return self._container.keys()


class HTTPHeaderDict(MutableMapping):
    """
    :param headers:
        An iterable of field-value pairs. Must not contain multiple field names
        when compared case-insensitively.

    :param kwargs:
        Additional field-value pairs to pass in to ``dict.update``.

    A ``dict`` like container for storing HTTP Headers.

    Field names are stored and compared case-insensitively in compliance with
    RFC 7230. Iteration provides the first case-sensitive key seen for each
    case-insensitive pair.

    Using ``__setitem__`` syntax overwrites fields that compare equal
    case-insensitively in order to maintain ``dict``'s api. For fields that
    compare equal, instead create a new ``HTTPHeaderDict`` and use ``.add``
    in a loop.

    If multiple fields that are equal case-insensitively are passed to the
    constructor or ``.update``, the behavior is undefined and some will be
    lost.

    >>> headers = HTTPHeaderDict()
    >>> headers.add('Set-Cookie', 'foo=bar')
    >>> headers.add('set-cookie', 'baz=quxx')
    >>> headers['content-length'] = '7'
    >>> headers['SET-cookie']
    'foo=bar, baz=quxx'
    >>> headers['Content-Length']
    '7'

    If you want to access the raw headers with their original casing
    for debugging purposes you can access the private ``._data`` attribute
    which is a normal python ``dict`` that maps the case-insensitive key to a
    list of tuples stored as (case-sensitive-original-name, value). Using the
    structure from above as our example:

    >>> headers._data
    {'set-cookie': [('Set-Cookie', 'foo=bar'), ('set-cookie', 'baz=quxx')],
    'content-length': [('content-length', '7')]}
    """

    def __init__(self, headers=None, **kwargs):
        self._data = {}
        if headers is None:
            headers = {}
        self.update(headers, **kwargs)

    def add(self, key, value):
        """Adds a (name, value) pair, doesn't overwrite the value if it already
        exists.

        >>> headers = HTTPHeaderDict(foo='bar')
        >>> headers.add('Foo', 'baz')
        >>> headers['foo']
        'bar, baz'
        """
        self._data.setdefault(key.lower(), []).append((key, value))

    def getlist(self, key):
        """Returns a list of all the values for the named field. Returns an
        empty list if the key doesn't exist."""
        return self[key].split(', ') if key in self else []

    def copy(self):
        h = HTTPHeaderDict()
        for key in self._data:
            for rawkey, value in self._data[key]:
                h.add(rawkey, value)
        return h

    def __eq__(self, other):
        if not isinstance(other, Mapping):
            return False
        other = HTTPHeaderDict(other)
        return dict((k1, self[k1]) for k1 in self._data) == \
                dict((k2, other[k2]) for k2 in other._data)

    def __getitem__(self, key):
        values = self._data[key.lower()]
        return ', '.join(value[1] for value in values)

    def __setitem__(self, key, value):
        self._data[key.lower()] = [(key, value)]

    def __delitem__(self, key):
        del self._data[key.lower()]

    def __len__(self):
        return len(self._data)

    def __iter__(self):
        for headers in itervalues(self._data):
            yield headers[0][0]

    def __repr__(self):
        return '%s(%r)' % (self.__class__.__name__, dict(self.items()))
