def __len__(self):

        return len(self.doc_ids)

    def __iter__(self):

        """

        Allows Iteration over results,and lazy generate content

        *Requires* implementation of ``__getitem__`` method.

        """

        for docid in self.doc_ids:

            yield self.get_full_content(docid)

    def __getitem__(self, key):

        """

        Slicing of resultWrapper

        """

        i, j = key.start, key.stop

        slices = []

        for docid in self.doc_ids[i:j]:

            slices.append(self.get_full_content(docid))

        return slices

    def get_full_content(self, docid):

        res = self.searcher.stored_fields(docid[0])

        log.debug('result: %s', res)

        if self.search_type == 'content':

            full_repo_path = os.path.join(self.repo_location, res['repository'])

            f_path = res['path'].split(full_repo_path)[-1]

            f_path = f_path.lstrip(os.sep)

            content_short = self.get_short_content(res, docid[1])

            res.update({'content_short': content_short,

                        'content_short_hl': self.highlight(content_short),

                        'f_path': f_path

            })

        elif self.search_type == 'path':

            full_repo_path = os.path.join(self.repo_location, res['repository'])

            f_path = res['path'].split(full_repo_path)[-1]

            f_path = f_path.lstrip(os.sep)

            res.update({'f_path': f_path})

        elif self.search_type == 'message':

            res.update({'message_hl': self.highlight(res['message'])})

        log.debug('result: %s', res)

        return res

    def get_short_content(self, res, chunks):

    def get_chunks(self):

        """

        Smart function that implements chunking the content

        but not overlap chunks so it doesn't highlight the same

        close occurrences twice.

        """

        memory = [(0, 0)]

        if self.matcher.supports('positions'):

            for span in self.matcher.spans():

                start = span.startchar or 0

                end = span.endchar or 0

                start_offseted = max(0, start - self.fragment_size)

                end_offseted = end + self.fragment_size

                if start_offseted < memory[-1][1]:

                    start_offseted = memory[-1][1]

                memory.append((start_offseted, end_offseted,))

                yield (start_offseted, end_offseted,)

    def highlight(self, content, top=5):

        if self.search_type not in ['content', 'message']:

            return ''

        hl = whoosh_highlight(

            text=content,

            terms=self.highlight_items,

            analyzer=ANALYZER,

            fragmenter=FRAGMENTER,

            formatter=FORMATTER,

            top=top

        )

        return hl