human
What is a the Python code you requested given the following:
Complete the below
def cached_query(model, filter_fn=filter_identity):

    ''''Decorate a function describing a cached query.
    The decorated function is expected to follow the naming convention common
    in queries.py -- "get_something".  The cached query\'s key will be generated
    from the combination of the function name and its arguments separated by
    periods.
    The decorated function should return a raw thingdb query object
    representing the query that is being cached. If there is no valid
    underlying query to build off of, a FakeQuery specifying the correct
    sorting criteria for the enumerated objects can be returned.'
    '''
assistant
#Here is the Python code you requested.
    def cached_query_decorator(fn):
        def cached_query_wrapper(*args):
            assert fn.__name__.startswith('get_')
            row_key_components = [fn.__name__[len('get_'):]]
            if (len(args) > 0):
                if isinstance(args[0], Thing):
                    args = list(args)
                    args[0] = args[0]._id
                if isinstance(args[0], (int, long)):
                    serialized = to36(args[0])
                else:
                    serialized = str(args[0])
                row_key_components.append(serialized)
            row_key_components.extend((str(x) for x in args[1:]))
            row_key = '.'.join(row_key_components)
            query = fn(*args)
            query_sort = query._sort
            try:
                is_precomputed = query.precomputed
            except AttributeError:
                is_precomputed = _is_query_precomputed(query)
            return CachedQuery(model, row_key, query_sort, filter_fn, is_precomputed)
        return cached_query_wrapper
    return cached_query_decorator