Source code for ciscosparkapi.api.roles

# -*- coding: utf-8 -*-
"""Cisco Spark Roles API."""


from __future__ import (
    absolute_import,
    division,
    print_function,
    unicode_literals,
)

from builtins import *

from past.builtins import basestring

from ..generator_containers import generator_container
from ..restsession import RestSession
from ..utils import (
    check_type,
    dict_from_items_with_values,
)


__author__ = "Chris Lunsford"
__author_email__ = "chrlunsf@cisco.com"
__copyright__ = "Copyright (c) 2016-2018 Cisco and/or its affiliates."
__license__ = "MIT"


API_ENDPOINT = 'roles'
OBJECT_TYPE = 'role'


[docs]class RolesAPI(object): """Cisco Spark Roles API. Wraps the Cisco Spark Roles API and exposes the API as native Python methods that return native Python objects. """ def __init__(self, session, object_factory): """Initialize a new RolesAPI object with the provided RestSession. Args: session(RestSession): The RESTful session object to be used for API calls to the Cisco Spark service. Raises: TypeError: If the parameter types are incorrect. """ check_type(session, RestSession, may_be_none=False) super(RolesAPI, self).__init__() self._session = session self._object_factory = object_factory
[docs] @generator_container def list(self, max=None, **request_parameters): """List all roles. This method supports Cisco Spark's implementation of RFC5988 Web Linking to provide pagination support. It returns a generator container that incrementally yields all objects returned by the query. The generator will automatically request additional 'pages' of responses from Spark as needed until all responses have been returned. The container makes the generator safe for reuse. A new API call will be made, using the same parameters that were specified when the generator was created, every time a new iterator is requested from the container. Args: max(int): Limit the maximum number of items returned from the Spark service per request. **request_parameters: Additional request parameters (provides support for parameters that may be added in the future). Returns: GeneratorContainer: A GeneratorContainer which, when iterated, yields the roles returned by the Cisco Spark query. Raises: TypeError: If the parameter types are incorrect. SparkApiError: If the Cisco Spark cloud returns an error. """ check_type(max, int) params = dict_from_items_with_values( request_parameters, max=max, ) # API request - get items items = self._session.get_items(API_ENDPOINT, params=params) # Yield role objects created from the returned JSON objects for item in items: yield self._object_factory(OBJECT_TYPE, item)
[docs] def get(self, roleId): """Get the details of a Role, by ID. Args: roleId(basestring): The ID of the Role to be retrieved. Returns: Role: A Role object with the details of the requested Role. Raises: TypeError: If the parameter types are incorrect. SparkApiError: If the Cisco Spark cloud returns an error. """ check_type(roleId, basestring, may_be_none=False) # API request json_data = self._session.get(API_ENDPOINT + '/' + roleId) # Return a role object created from the returned JSON object return self._object_factory(OBJECT_TYPE, json_data)