Cloud Services¶

4.2.1 Convenience translators¶

Congress provides a translation method to make the translation from API results into tables convenient. The translation method takes a description of the API data structure, and converts objects of that structure into rows of one or more tables (depending on the data structure). For example, this is a partial snippet from the Neutron driver:

networks_translator = {
    'translation-type': 'HDICT',
    'table-name': 'networks',
    'selector-type': 'DICT_SELECTOR',
    'field-translators':
        ({'fieldname': 'id', 'translator': value_trans},
         {'fieldname': 'name', 'translator': value_trans},
         {'fieldname': 'tenant_id', 'translator': value_trans},
         {'fieldname': 'subnets', 'col': 'subnet_group_id',
          'translator': {'translation-type': 'LIST',
                         'table-name': 'networks.subnets',
                         'id-col': 'subnet_group_id',
                         'val-col': 'subnet',
                         'translator': value_trans}})}

This networks_translator describes a python dictionary data structure that contains four keys: id, name, tenant_id, and subnets. The value for the subnets key is a list of subnet_group_ids each of which is a number. For example:

{ “id”: 1234,

“name”: “Network Foo”, “tenant_id”: 5678, “subnets”: [ 100, 101 ] }

Given the networks_translator description, the translator creates two tables. The first table is named “networks” with a column for name, subnets, tenant_id, and id. The second table will be named “networks.subnet” and will contain two columns, one containing the subnet_group_id, and the second containing an ID that associates the row in the network to the rows in the networks.subnets table.

To use the translation methods, the driver defines a translator such as networks_translator and then passes the API response objects to translate_objs() which is defined in congress/datasources/datasource_driver.py See congress/datasources/neutron_driver.py as an example.

4.2.2 Custom data conversion¶

The convenience translators may be insufficient in some cases, for example, the data source may provide data in an unusual format, the convenience translators may be inefficient, or the fixed translation method may result in an unsuitable table schema. In such cases, a driver may need to implement its own translation. In those cases, we have a few recommendations.

Recommendation 1: Row = object. Typically an API call will return a collection of objects (e.g. networks, virtual machines, disks). Conceptually it is convenient to represent each object with a row in a table. The columns of that row are the attributes of each object. For example, a table of all virtual machines will have columns for memory, disk, flavor, and image.

Table: virtual_machine

Recommendation 2. Avoid wide tables. Wide tables (i.e. tables with many columns) are hard to use for a policy-writer. Breaking such tables up into smaller ones is often a good idea. In the above example, we could create 4 tables with 2 columns instead of 1 table with 5 columns.

Table: virtual_machine.memory

Table: virtual_machine.disk

Table: virtual_machine.flavor

Table: virtual_machine.image

Recommendation 3. Try these design patterns. Below we give a few design patterns. Notice that when an object has an attribute whose value is a structured object itself (e.g. a list of dictionaries), we must recursively flatten that subobject into tables.

• A List of dictionary converted to tuples

  Original data:

  [{'key1':'value1','key2':'value2'},
   {'key1':'value3','key2':'value4'}
  ]
  

  Tuple:

  [('value1', 'value2'),
   ('value3', 'value4')
  ]
  

• List of Dictionary with a nested List

  Original data:

  [{'key1':'value1','key2':['v1','v2']},
   {'key1':'value2','key2':['v3','v4']}
  ]
  

  Tuple:

  [('value1', 'uuid1'),
   ('value1', 'uuid2'),
   ('value2', 'uuid3'),
   ('value2', 'uuid4')
  ]
  
  [('uuid1', 'v1'),
   ('uuid2', 'v2'),
   ('uuid3', 'v3'),
   ('uuid4', 'v4')
  ]
  

  Note : uuid* are congress generated uuids

• List of Dictionary with a nested dictionary

  Original data:

  [{'key1':'value1','key2':{'k1':'v1'}},
   {'key1':'value2','key2':{'k1':'v2'}}
  ]
  

  Tuple:

  [('value1', 'uuid1'),
   ('value2', 'uuid2')
  ]
  
  [('uuid1', 'k1', 'v1'),
   ('uuid2', 'k1', 'v2'),
  ]
  

  Note : uuid* are congress generated uuids

4.3.1 Glance setup¶

We begin our description with the setUp() method of the test.

def setUp(self):

First the test creates a fake (actually a mock) Keystone. Most clients talk to Keystone, so having a fake one seems to be necessary to make the Glance client work properly.

self.keystone_client_p = mock.patch(
    "keystoneclient.v2_0.client.Client")
self.keystone_client_p.start()

Next the test creates a fake Glance client. Glance is an OpenStack service that stores (among other things) operating system Images that you can use to create a new VM. The Glance datasource driver makes a call to <glance-client>.images.list() to retrieve the list of those images, and then turns that list of images into tables. The test creates a fake Glance client so it can control the return value of <glance-client>.images.list().

self.glance_client_p = mock.patch("glanceclient.v2.client.Client")
self.glance_client_p.start()

Next the test instantiates the GlanceV2Driver class, which contains the code for the Glance driver. Passing ‘poll_time’ as 0 is probably unnecessary here, but it tells the driver not to poll automatically. Passing ‘client’ is important because it tells the GlanceV2Driver class to use a mocked version of the Glance client instead of creating its own.

args = helper.datasource_openstack_args()
args['poll_time'] = 0
args['client'] = mock.MagicMock()
self.driver = glancev2_driver.GlanceV2Driver(args=args)

Next the test defines which value it wants <glance-client>.images.list() to return. The test itself will check if the Glance driver code properly translates this return value into tables. So this is the actual input to the test. Either you can write this by hand, or you can run the heat-client and print out the results.

self.mock_images = {'images': [
    {u'checksum': u'9e486c3bf76219a6a37add392e425b36',
     u'container_format': u'bare',
     u'created_at': u'2014-10-01T20:28:08Z’,
     ...

4.3.2 Glance test¶

test_update_from_datasource() is the actual test, where we have the datasource driver grab the list of Glance images and translate them to tables. The test runs the update_from_datasource() method like normal except it ensures the return value of <glance-client>.images.list() is self.mock_images.

def test_update_from_datasource(self):

The first thing the method does is set the return value of self.driver.glance.images.list() to self.mock_images[‘images’]. Then it calls update_from_datasource() in the usual way, which translates self.mock_images[‘images’] into tables and stores the result into the driver’s self.state dictionary.

with mock.patch.object(self.driver.glance.images, "list") as img_list:
    img_list.return_value = self.mock_images['images']
    self.driver.update_from_datasource()

Next the test defines the tables that update_from_datasource() should construct. Actually, the test defines the expected value of Glance’s self.state when update_from_datasource() finishes. Remember that self.state is a dictionary mapping a table name to the set of tuples that belong to the table. For Glance, there’s just one table: ‘images’, and so the expected self.state is a dictionary with one key ‘images’ and one value: a set of tuples.

expected = {'images': set([
    (u'6934941f-3eef-43f7-9198-9b3c188e4aab',
     u'active',
     u'cirros-0.3.2-x86_64-uec',
     u'ami',
     u'2014-10-01T20:28:06Z',
     u'2014-10-01T20:28:07Z',
     u'ami',
     u'4dfdcf14a20940799d89c7a5e7345978',
     'False',
     0,
     0,
     u'4eada48c2843d2a262c814ddc92ecf2c',
     25165824,
     u'/v2/images/6934941f-3eef-43f7-9198-9b3c188e4aab/file',
     u'15ed89b8-588d-47ad-8ee0-207ed8010569',
     u'c244d5c7-1c83-414c-a90d-af7cea1dd3b5',
     u'/v2/schemas/image',
     u'public'),
     ...

At this point in the test, update_from_datasource() has already been run, so all it does is check that the driver’s self.state has the expected value.

self.assertEqual(self.driver.state, expected)

4.3.3 Glance test code in full¶

import mock

from congress.datasources import glancev2_driver
from congress.tests import base
from congress.tests import helper


class TestGlanceV2Driver(base.TestCase):

    def setUp(self):
        super(TestGlanceV2Driver, self).setUp()
        self.keystone_client_p = mock.patch(
            "keystoneclient.v2_0.client.Client")
        self.keystone_client_p.start()
        self.glance_client_p = mock.patch("glanceclient.v2.client.Client")
        self.glance_client_p.start()

        args = helper.datasource_openstack_args()
        args['poll_time'] = 0
        args['client'] = mock.MagicMock()
        self.driver = glancev2_driver.GlanceV2Driver(args=args)

        self.mock_images = {'images': [
            {u'checksum': u'9e486c3bf76219a6a37add392e425b36',
             u'container_format': u'bare',
             u'created_at': u'2014-10-01T20:28:08Z',
             u'disk_format': u'qcow2',
             u'file': u'/v2/images/c42736e7-8b09-4906-abd2-d6dc8673c297/file',
             u'id': u'c42736e7-8b09-4906-abd2-d6dc8673c297',
             u'min_disk': 0,
             u'min_ram': 0,
             u'name': u'Fedora-x86_64-20-20140618-sda',
             u'owner': u'4dfdcf14a20940799d89c7a5e7345978',
             u'protected': False,
             u'schema': u'/v2/schemas/image',
             u'size': 209649664,
             u'status': u'active',
             u'tags': ['type=xen2', 'type=xen'],
             u'updated_at': u'2014-10-01T20:28:09Z',
             u'visibility': u'public'},
            {u'checksum': u'4eada48c2843d2a262c814ddc92ecf2c',
             u'container_format': u'ami',
             u'created_at': u'2014-10-01T20:28:06Z',
             u'disk_format': u'ami',
             u'file': u'/v2/images/6934941f-3eef-43f7-9198-9b3c188e4aab/file',
             u'id': u'6934941f-3eef-43f7-9198-9b3c188e4aab',
             u'kernel_id': u'15ed89b8-588d-47ad-8ee0-207ed8010569',
             u'min_disk': 0,
             u'min_ram': 0,
             u'name': u'cirros-0.3.2-x86_64-uec',
             u'owner': u'4dfdcf14a20940799d89c7a5e7345978',
             u'protected': False,
             u'ramdisk_id': u'c244d5c7-1c83-414c-a90d-af7cea1dd3b5',
             u'schema': u'/v2/schemas/image',
             u'size': 25165824,
             u'status': u'active',
             u'tags': [],
             u'updated_at': u'2014-10-01T20:28:07Z',
             u'visibility': u'public'}]}

    def test_update_from_datasource(self):
        with mock.patch.object(self.driver.glance.images, "list") as img_list:
            img_list.return_value = self.mock_images['images']
            self.driver.update_from_datasource()
        expected = {'images': set([
            (u'6934941f-3eef-43f7-9198-9b3c188e4aab',
             u'active',
             u'cirros-0.3.2-x86_64-uec',
             u'ami',
             u'2014-10-01T20:28:06Z',
             u'2014-10-01T20:28:07Z',
             u'ami',
             u'4dfdcf14a20940799d89c7a5e7345978',
             'False',
             0,
             0,
             u'4eada48c2843d2a262c814ddc92ecf2c',
             25165824,
             u'/v2/images/6934941f-3eef-43f7-9198-9b3c188e4aab/file',
             u'15ed89b8-588d-47ad-8ee0-207ed8010569',
             u'c244d5c7-1c83-414c-a90d-af7cea1dd3b5',
             u'/v2/schemas/image',
             u'public'),
            (u'c42736e7-8b09-4906-abd2-d6dc8673c297',
             u'active',
             u'Fedora-x86_64-20-20140618-sda',
             u'bare',
             u'2014-10-01T20:28:08Z',
             u'2014-10-01T20:28:09Z',
             u'qcow2',
             u'4dfdcf14a20940799d89c7a5e7345978',
             'False',
             0,
             0,
             u'9e486c3bf76219a6a37add392e425b36',
             209649664,
             u'/v2/images/c42736e7-8b09-4906-abd2-d6dc8673c297/file',
             'None',
             'None',
             u'/v2/schemas/image',
             u'public')]),
            'tags': set([
                (u'c42736e7-8b09-4906-abd2-d6dc8673c297', 'type=xen'),
                (u'c42736e7-8b09-4906-abd2-d6dc8673c297', 'type=xen2')])}
        self.assertEqual(self.driver.state, expected)