# -*- coding: utf-8 -*-
"""Cisco Spark Organizations 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 = 'organizations'
OBJECT_TYPE = 'organization'
[docs]class OrganizationsAPI(object):
"""Cisco Spark Organizations API.
Wraps the Cisco Spark Organizations API and exposes the API as native
Python methods that return native Python objects.
"""
def __init__(self, session, object_factory):
"""Init a new OrganizationsAPI 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(OrganizationsAPI, self).__init__()
self._session = session
self._object_factory = object_factory
[docs] @generator_container
def list(self, max=None, **request_parameters):
"""List Organizations.
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 organizations 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 organization objects created from the returned JSON objects
for item in items:
yield self._object_factory(OBJECT_TYPE, item)
[docs] def get(self, orgId):
"""Get the details of an Organization, by ID.
Args:
orgId(basestring): The ID of the Organization to be retrieved.
Returns:
Organization: An Organization object with the details of the
requested organization.
Raises:
TypeError: If the parameter types are incorrect.
SparkApiError: If the Cisco Spark cloud returns an error.
"""
check_type(orgId, basestring, may_be_none=False)
# API request
json_data = self._session.get(API_ENDPOINT + '/' + orgId)
# Return a organization object created from the returned JSON object
return self._object_factory(OBJECT_TYPE, json_data)