Elasticsearch Python client adaptor to be used with Django Paginator

gistfile1.py

class ElasticSearchPaginatorListException(Exception):
    pass

class ElasticSearchPaginatorList(object):
    def __init__(self, client, *args, **kwargs):
        self.client = client
        self.args = args
        self.kwargs = kwargs
        self._count = None

    def count(self):
        if self._count is None:
            result = self.client.count(index=self.kwargs['index'],
                              body=self.kwargs['body'])
        return result['count']

    def __len__(self):
        return self.count()

    def __getitem__(self, key):
        if not isinstance(key, slice):
            raise ElasticSearchPaginatorListException('key parameter in __getitem__ is not a slice instance')
        self.kwargs['from_'] = key.start
        self.kwargs['size'] = key.stop - key.start
        return self.client.search(*self.args, **self.kwargs)['hits']['hits']

if __name__ == '__main__':
    import elasticsearch
    from django.core.paginator import Paginator

    e = ElasticSearchPaginatorList(elasticsearch.Elasticsearch(),
                             index='_all',
                             body={'query': {'match_all': {}} 
                                  })
    first_list, second_list = [], []
    p = Paginator(e, 5)
    for x in p.page(1):
        first_list.append(x['_id']) 
    for x in p.page(2):
        first_list.append(x['_id'])
    p = Paginator(e, 10)
    for x in p.page(1):
        second_list.append(x['_id'])
    assert(first_list == second_list)