def test_implementation_get_formatted_data_no_data(self):
        """
        Test case to check the implementation of _format_data for empty metric data.
        :return: None
        """

        # Mocking the DataCenterComponent init method
        with mock.patch("liota.dccs.aws_iot.DataCenterComponent.__init__"
                        ) as mocked_dcc:
            self.aws = AWSIoT("Mocked DCC", enclose_metadata=False)

            # Register the edge
            registered_entity = self.aws.register(self.edge_system)

            #  Creating test Metric
            test_metric = Metric(name="Test_Metric",
                                 unit=None,
                                 interval=10,
                                 aggregation_size=2,
                                 sampling_function=sampling_function)

            registered_metric = self.aws.register(test_metric)

            # Creating the parent-child relationship
            self.aws.create_relationship(registered_entity, registered_metric)

            # Getting the parent child relationship array from registered metric
            # formatted_data = self.aws._format_data(registered_metric)
            formatted_data = get_formatted_data(registered_metric, False)

            # Check two dicts are equal or not
            self.assertEqual(None, formatted_data,
                             "Check implementation of get_formatted_data")
    def test_implementation_get_formatted_data_without_enclose_metatadata(
            self):
        """
        Test case to check the output given by get_formatted_data method without enclosed meta_data option.
        RegisteredEdgeSystem->RegisteredMetric
        :return: None
        """

        # Mocking the DataCenterComponent init method
        with mock.patch("liota.dccs.aws_iot.DataCenterComponent.__init__"
                        ) as mocked_dcc:
            self.aws = AWSIoT("Mocked DCC", enclose_metadata=False)

            # Register the edge
            registered_entity = self.aws.register(self.edge_system)

            #  Creating test Metric
            test_metric = Metric(name="Test_Metric",
                                 unit=None,
                                 interval=10,
                                 aggregation_size=2,
                                 sampling_function=sampling_function)

            registered_metric = self.aws.register(test_metric)

            # Creating the parent-child relationship
            self.aws.create_relationship(registered_entity, registered_metric)

            # Get current timestamp
            timestamp = getUTCmillis()

            registered_metric.values.put((timestamp, 10))

            # Expected output without enclosed metadata
            expected_output = {
                "metric_name": registered_metric.ref_entity.name,
                "metric_data": [{
                    "value": 10,
                    "timestamp": timestamp
                }],
                "unit": "null"
            }

            # Getting the parent child relationship array from registered metric
            formatted_data = get_formatted_data(registered_metric, False)

            # Convert json string to dict for the comparision
            formatted_json_data = json.loads(formatted_data)

            # Check two dicts are equal or not
            self.assertEqual(
                validate_json(formatted_json_data) == validate_json(
                    expected_output), True,
                "Check implementation of get_formatted_data")
    def setUp(self):
        """
        Setup all required parameters required during the tests
        :return: None
        """
        # EdgeSystem name
        self.edge_system = Dell5KEdgeSystem("TestEdgeSystem")

        # Mocking the DataCenterComponent init method
        with mock.patch("liota.dccs.aws_iot.DataCenterComponent.__init__"
                        ) as mocked_dcc:
            self.aws = AWSIoT("Mocked DCC", enclose_metadata=True)
Exemplo n.º 4
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    def run(self, registry):
        import copy
        from liota.dccs.aws_iot import AWSIoT
        from liota.dcc_comms.mqtt_dcc_comms import MqttDccComms
        from liota.lib.transports.mqtt import QoSDetails
        from liota.lib.utilities.identity import Identity
        from liota.lib.utilities.tls_conf import TLSConf

        # Acquire resources from registry
        # Creating a copy of edge_system object to keep original object "clean"
        edge_system = copy.copy(registry.get("edge_system"))

        # Get values from configuration file
        config_path = registry.get("package_conf")
        config = {}
        execfile(config_path + '/sampleProp.conf', config)
        # Encapsulates Identity
        identity = Identity(root_ca_cert=config['broker_root_ca_cert'],
                            username=None,
                            password=None,
                            cert_file=config['edge_system_cert_file'],
                            key_file=config['edge_system_key_file'])
        # Encapsulate TLS parameters
        tls_conf = TLSConf(config['cert_required'], config['tls_version'],
                           config['cipher'])
        # Encapsulate QoS related parameters
        qos_details = QoSDetails(config['in_flight'], config['queue_size'],
                                 config['retry'])

        #  Connecting to AWSIoT
        #  Publish topic for all Metrics will be 'liota/generated_local_uuid_of_edge_system/request'
        #  Create and pass custom MqttMessagingAttributes object to MqttDccComms to have custom topic
        self.aws_iot = AWSIoT(MqttDccComms(
            edge_system_name=edge_system.name,
            url=config['BrokerIP'],
            port=config['BrokerPort'],
            identity=identity,
            tls_conf=tls_conf,
            qos_details=qos_details,
            clean_session=True,
            userdata=config['userdata'],
            protocol=config['protocol'],
            transport=['transport'],
            conn_disconn_timeout=config['ConnectDisconnectTimeout']),
                              enclose_metadata=True)

        # Register edge system (gateway)
        aws_iot_edge_system = self.aws_iot.register(edge_system)

        registry.register("aws_iot", self.aws_iot)
        registry.register("aws_iot_edge_system", aws_iot_edge_system)
Exemplo n.º 5
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class PackageClass(LiotaPackage):
    """
    This package creates a AWSIoT DCC object and registers edge system on
    AWSIoT to acquire "registered edge system", i.e. aws_iot_edge_system.
    """

    def run(self, registry):
        import copy
        from liota.dccs.aws_iot import AWSIoT
        from liota.dcc_comms.mqtt_dcc_comms import MqttDccComms
        from liota.lib.transports.mqtt import QoSDetails
        from liota.lib.utilities.identity import Identity
        from liota.lib.utilities.tls_conf import TLSConf

        # Acquire resources from registry
        # Creating a copy of edge_system object to keep original object "clean"
        edge_system = copy.copy(registry.get("edge_system"))

        # Get values from configuration file
        config_path = registry.get("package_conf")
        config = read_user_config(config_path + '/sampleProp.conf')
        # Encapsulates Identity
        identity = Identity(root_ca_cert=config['broker_root_ca_cert'], username=None, password=None,
                            cert_file=config['edge_system_cert_file'], key_file=config['edge_system_key_file'])
        # Encapsulate TLS parameters
        tls_conf = TLSConf(config['cert_required'], config['tls_version'], config['cipher'])
        # Encapsulate QoS related parameters
        qos_details = QoSDetails(config['in_flight'], config['queue_size'], config['retry'])

        #  Connecting to AWSIoT
        #  Publish topic for all Metrics will be 'liota/generated_local_uuid_of_edge_system/request'
        #  Create and pass custom MqttMessagingAttributes object to MqttDccComms to have custom topic
        self.aws_iot = AWSIoT(MqttDccComms(edge_system_name=edge_system.name,
                                           url=config['BrokerIP'], port=config['BrokerPort'], identity=identity,
                                           tls_conf=tls_conf,
                                           qos_details=qos_details,
                                           clean_session=True,
                                           protocol=config['protocol'], transport=['transport'],
                                           conn_disconn_timeout=config['ConnectDisconnectTimeout']),
                              enclose_metadata=True)

        # Register edge system (gateway)
        aws_iot_edge_system = self.aws_iot.register(edge_system)

        registry.register("aws_iot", self.aws_iot)
        registry.register("aws_iot_edge_system", aws_iot_edge_system)

    def clean_up(self):
        self.aws_iot.comms.client.disconnect()
Exemplo n.º 6
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    tls_conf = TLSConf(config['cert_required'], config['tls_version'],
                       config['cipher'])
    # Encapsulate QoS related parameters
    qos_details = QoSDetails(config['in_flight'], config['queue_size'],
                             config['retry'])

    #  Connecting to AWSIoT
    #  AWSIoT broker doesn't support session persistence.  So, always use "clean_session=True"
    #  Publish topic for all Metrics will be 'liota/generated_local_uuid_of_edge_system/request'
    aws = AWSIoT(MqttDccComms(
        edge_system_name=edge_system.name,
        url=config['BrokerIP'],
        port=config['BrokerPort'],
        identity=identity,
        tls_conf=tls_conf,
        qos_details=qos_details,
        clean_session=True,
        userdata=config['userdata'],
        protocol=config['protocol'],
        transport=['transport'],
        conn_disconn_timeout=config['ConnectDisconnectTimeout']),
                 enclose_metadata=True)
    #  Registering EdgeSystem
    reg_edge_system = aws.register(edge_system)

    #  Creating CPU Metric
    cpu_utilization = Metric(name="CPUUtilization",
                             unit=None,
                             interval=10,
                             aggregation_size=2,
                             sampling_function=read_cpu_utilization)
                        cert_file=config['edge_system_cert_file'], key_file=config['edge_system_key_file'])
    # Encapsulate TLS parameters
    tls_conf = TLSConf(config['cert_required'], config['tls_version'], config['cipher'])
    # Encapsulate QoS related parameters
    qos_details = QoSDetails(config['in_flight'], config['queue_size'], config['retry'])

    #  Connecting to AWSIoT
    #  AWSIoT broker doesn't support session persistence.  So, always use "clean_session=True"
    #  Custom Publish Topic for an EdgeSystem
    mqtt_msg_attr = MqttMessagingAttributes(pub_topic=config['CustomPubTopic'])

    aws = AWSIoT(MqttDccComms(edge_system_name=edge_system.name,
                              url=config['BrokerIP'], port=config['BrokerPort'], identity=identity,
                              tls_conf=tls_conf,
                              qos_details=qos_details,
                              clean_session=True,
                              protocol=config['protocol'], transport=['transport'],
                              conn_disconn_timeout=config['ConnectDisconnectTimeout'],
                              mqtt_msg_attr=mqtt_msg_attr),
                 enclose_metadata=False)
    #  Registering EdgeSystem
    reg_edge_system = aws.register(edge_system)

    #  Creating CPU Metric
    cpu_utilization = Metric(
        name="CPUUtilization",
        unit=None,
        interval=10,
        aggregation_size=2,
        sampling_function=read_cpu_utilization
    )
Exemplo n.º 8
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class PackageClass(LiotaPackage):
    """
    This package creates a AWSIoT DCC object and registers edge system on
    AWSIoT to acquire "registered edge system", i.e. aws_iot_edge_system.
    """

    def run(self, registry):
        """
        The execution function of a liota package.

        Establishes connection with AWSIoT DCC using MqttDccComms

        :param registry: the instance of ResourceRegistryPerPackage of the package
        :return:
        """
        import copy
        from liota.dccs.aws_iot import AWSIoT
        from liota.dcc_comms.mqtt_dcc_comms import MqttDccComms
        from liota.lib.transports.mqtt import QoSDetails
        from liota.lib.utilities.identity import Identity
        from liota.lib.utilities.tls_conf import TLSConf

        # Acquire resources from registry
        # Creating a copy of edge_system object to keep original object "clean"
        edge_system = copy.copy(registry.get("edge_system"))

        # Get values from configuration file
        config_path = registry.get("package_conf")
        config = read_user_config(config_path + '/sampleProp.conf')
        # Encapsulates Identity
        identity = Identity(root_ca_cert=config['broker_root_ca_cert'], username=None, password=None,
                            cert_file=config['edge_system_cert_file'], key_file=config['edge_system_key_file'])
        # Encapsulate TLS parameters
        tls_conf = TLSConf(config['cert_required'], config['tls_version'], config['cipher'])
        # Encapsulate QoS related parameters
        qos_details = QoSDetails(config['in_flight'], config['queue_size'], config['retry'])

        #  Connecting to AWSIoT
        #  Publish topic for all Metrics will be 'liota/generated_local_uuid_of_edge_system/request'
        #  Create and pass custom MqttMessagingAttributes object to MqttDccComms to have custom topic
        self.aws_iot = AWSIoT(MqttDccComms(edge_system_name=edge_system.name,
                                           url=config['BrokerIP'], port=config['BrokerPort'], identity=identity,
                                           tls_conf=tls_conf,
                                           qos_details=qos_details,
                                           clean_session=True,
                                           protocol=config['protocol'], transport=['transport'],
                                           conn_disconn_timeout=config['ConnectDisconnectTimeout']),
                              enclose_metadata=True)

        # Register edge system (gateway)
        aws_iot_edge_system = self.aws_iot.register(edge_system)

        registry.register("aws_iot", self.aws_iot)
        registry.register("aws_iot_edge_system", aws_iot_edge_system)

    def clean_up(self):
        """
        The clean up function of a liota package.

        Disconnects from AWSIoT DCC.

        :return:
        """
        self.aws_iot.comms.client.disconnect()
class DCCUtilityTest(unittest.TestCase):
    """
    Unit test cases for DCC Utility global functions
    """
    def setUp(self):
        """
        Setup all required parameters required during the tests
        :return: None
        """
        # EdgeSystem name
        self.edge_system = Dell5KEdgeSystem("TestEdgeSystem")

        # Mocking the DataCenterComponent init method
        with mock.patch("liota.dccs.aws_iot.DataCenterComponent.__init__"
                        ) as mocked_dcc:
            self.aws = AWSIoT("Mocked DCC", enclose_metadata=True)

    def tearDown(self):
        """
        Clean up all parameters used in test cases
        :return: None
        """
        self.edge_system = Dell5KEdgeSystem("TestEdgeSystem")
        self.aws = None

    def test_implementation_get_formatted_data_no_data(self):
        """
        Test case to check the implementation of _format_data for empty metric data.
        :return: None
        """

        # Mocking the DataCenterComponent init method
        with mock.patch("liota.dccs.aws_iot.DataCenterComponent.__init__"
                        ) as mocked_dcc:
            self.aws = AWSIoT("Mocked DCC", enclose_metadata=False)

            # Register the edge
            registered_entity = self.aws.register(self.edge_system)

            #  Creating test Metric
            test_metric = Metric(name="Test_Metric",
                                 unit=None,
                                 interval=10,
                                 aggregation_size=2,
                                 sampling_function=sampling_function)

            registered_metric = self.aws.register(test_metric)

            # Creating the parent-child relationship
            self.aws.create_relationship(registered_entity, registered_metric)

            # Getting the parent child relationship array from registered metric
            # formatted_data = self.aws._format_data(registered_metric)
            formatted_data = get_formatted_data(registered_metric, False)

            # Check two dicts are equal or not
            self.assertEqual(None, formatted_data,
                             "Check implementation of get_formatted_data")

    def test_implementation_get_formatted_data_with_enclose_metadata(self):
        """
        Test case to check the implementation of get_formatted_data method with enclose_metadata option of AWSIoT class.
        RegisteredEdgeSystem->RegisteredMetric
        :return: None
        """

        # Register the edge
        registered_entity = self.aws.register(self.edge_system)

        #  Creating test Metric
        test_metric = Metric(name="Test_Metric",
                             unit=None,
                             interval=10,
                             aggregation_size=2,
                             sampling_function=sampling_function)

        registered_metric = self.aws.register(test_metric)

        # Creating the parent-child relationship
        self.aws.create_relationship(registered_entity, registered_metric)

        timestamp = getUTCmillis()

        registered_metric.values.put((timestamp, 10))

        expected_output = {
            "edge_system_name": registered_entity.ref_entity.name,
            "metric_name": registered_metric.ref_entity.name,
            "metric_data": [{
                "value": 10,
                "timestamp": timestamp
            }],
            "unit": "null"
        }

        # Getting the parent child relationship array from registered metric
        formatted_data = get_formatted_data(registered_metric, True)

        formatted_json_data = json.loads(formatted_data)

        # Check two dicts are equal or not
        self.assertEqual(
            validate_json(formatted_json_data) == validate_json(
                expected_output), True,
            "Check implementation of get_formatted_data")

    def test_implementation_get_formatted_data_without_enclose_metatadata(
            self):
        """
        Test case to check the output given by get_formatted_data method without enclosed meta_data option.
        RegisteredEdgeSystem->RegisteredMetric
        :return: None
        """

        # Mocking the DataCenterComponent init method
        with mock.patch("liota.dccs.aws_iot.DataCenterComponent.__init__"
                        ) as mocked_dcc:
            self.aws = AWSIoT("Mocked DCC", enclose_metadata=False)

            # Register the edge
            registered_entity = self.aws.register(self.edge_system)

            #  Creating test Metric
            test_metric = Metric(name="Test_Metric",
                                 unit=None,
                                 interval=10,
                                 aggregation_size=2,
                                 sampling_function=sampling_function)

            registered_metric = self.aws.register(test_metric)

            # Creating the parent-child relationship
            self.aws.create_relationship(registered_entity, registered_metric)

            # Get current timestamp
            timestamp = getUTCmillis()

            registered_metric.values.put((timestamp, 10))

            # Expected output without enclosed metadata
            expected_output = {
                "metric_name": registered_metric.ref_entity.name,
                "metric_data": [{
                    "value": 10,
                    "timestamp": timestamp
                }],
                "unit": "null"
            }

            # Getting the parent child relationship array from registered metric
            formatted_data = get_formatted_data(registered_metric, False)

            # Convert json string to dict for the comparision
            formatted_json_data = json.loads(formatted_data)

            # Check two dicts are equal or not
            self.assertEqual(
                validate_json(formatted_json_data) == validate_json(
                    expected_output), True,
                "Check implementation of get_formatted_data")

    def test_implementation_get_formatted_data_with_enclose_metadata_device(
            self):
        """
        Test case to test the implementation of get_formatted_data method with enclose_metadata option.
        RegisteredEdgeSystem->RegisteredDevice->RegisteredMetric
        :return: None
        """

        # Register the edge
        registered_entity = self.aws.register(self.edge_system)

        #  Creating Simulated Device
        test_sensor = SimulatedDevice("TestSensor")

        #  Registering Device and creating Parent-Child relationship
        reg_test_sensor = self.aws.register(test_sensor)

        self.aws.create_relationship(registered_entity, reg_test_sensor)

        #  Creating test Metric
        test_metric = Metric(name="Test_Metric",
                             unit=ureg.degC,
                             interval=10,
                             aggregation_size=2,
                             sampling_function=sampling_function)

        registered_metric = self.aws.register(test_metric)

        # Creating the parent-child relationship
        self.aws.create_relationship(reg_test_sensor, registered_metric)

        # Get current timestamp
        timestamp = getUTCmillis()

        registered_metric.values.put((timestamp, 10))

        # Expected output without enclosed metadata
        expected_output = {
            "edge_system_name": registered_entity.ref_entity.name,
            "metric_name": registered_metric.ref_entity.name,
            "device_name": reg_test_sensor.ref_entity.name,
            "metric_data": [{
                "value": 10,
                "timestamp": timestamp
            }],
            "unit": "null"
        }

        unit_tuple = parse_unit(ureg.degC)

        if unit_tuple[0] is None:
            # Base and Derived Units
            expected_output['unit'] = unit_tuple[1]
        else:
            # Prefixed or non-SI Units
            expected_output['unit'] = unit_tuple[0] + unit_tuple[1]

        # Getting the parent child relationship array from registered metric
        formatted_data = get_formatted_data(registered_metric, True)

        # Convert json string to dict for the comparision
        formatted_json_data = json.loads(formatted_data)

        # Check two dicts are equal or not
        self.assertEqual(
            validate_json(formatted_json_data) == validate_json(
                expected_output), True,
            "Check implementation of get_formatted_data")

    def test_implementation_get_formatted_data_with_enclose_metadata_device_exception_flow(
            self):
        """
        Test case to test the implementation of get_formatted_data method with enclose_metadata option.
        RegisteredEdgeSystem->RegisteredDevice->RegisteredMetric
        :return: None
        """

        # Mock the get_formatted_data
        with mock.patch("liota.lib.utilities.dcc_utility.parse_unit"
                        ) as mocked_parse_unit:
            # Method to be invoked on calling the parse_unit function
            mocked_parse_unit.side_effect = raise_exception

            # Register the edge
            registered_entity = self.aws.register(self.edge_system)

            #  Creating Simulated Device
            test_sensor = SimulatedDevice("TestSensor")

            #  Registering Device and creating Parent-Child relationship
            reg_test_sensor = self.aws.register(test_sensor)

            self.aws.create_relationship(registered_entity, reg_test_sensor)

            #  Creating test Metric
            test_metric = Metric(name="Test_Metric",
                                 unit=ureg.degC,
                                 interval=10,
                                 aggregation_size=2,
                                 sampling_function=sampling_function)

            registered_metric = self.aws.register(test_metric)

            # Creating the parent-child relationship
            self.aws.create_relationship(reg_test_sensor, registered_metric)

            # Get current timestamp
            timestamp = getUTCmillis()

            registered_metric.values.put((timestamp, 10))

            # Expected output without enclosed metadata
            expected_output = {
                "edge_system_name": registered_entity.ref_entity.name,
                "metric_name": registered_metric.ref_entity.name,
                "device_name": reg_test_sensor.ref_entity.name,
                "metric_data": [{
                    "value": 10,
                    "timestamp": timestamp
                }],
                "unit": "null"
            }

            # Getting the parent child relationship array from registered metric
            formatted_data = get_formatted_data(registered_metric, True)

            # Convert json string to dict for the comparision
            formatted_json_data = json.loads(formatted_data)

            # Check two dicts are equal or not
            self.assertEqual(
                validate_json(formatted_json_data) == validate_json(
                    expected_output), True,
                "Check implementation of get_formatted_data")

    def test_validation_get_entity_hierarchy(self):
        """
        Test case to check the validation of _get_entity_hierarchy method for Metric object.
        :return: None
        """

        # Creating test Metric
        test_metric = Metric(name="Test_Metric",
                             unit=None,
                             interval=10,
                             aggregation_size=2,
                             sampling_function=sampling_function)

        # Checking whether implementation raising the TypeError for invalid input
        with self.assertRaises(TypeError):
            get_entity_hierarchy(test_metric)

    def test_implementation_get_entity_hierarchy(self):
        """
        Test case to check get_entity_entity_hierarchy() for RegisteredEdgeSystem->RegisteredMetric
        :return: None
        """

        # Register the edge
        registered_entity = self.aws.register(self.edge_system)

        #  Creating test Metric
        test_metric = Metric(name="Test_Metric",
                             unit=None,
                             interval=10,
                             aggregation_size=2,
                             sampling_function=sampling_function)

        registered_metric = self.aws.register(test_metric)

        # Creating the parent-child relationship
        self.aws.create_relationship(registered_entity, registered_metric)

        # Getting the parent child relationship array from registered metric
        entity_hierarchy = get_entity_hierarchy(registered_metric)

        self.assertSequenceEqual(
            [
                registered_entity.ref_entity.name,
                registered_metric.ref_entity.name
            ], entity_hierarchy,
            "Check the implementation of _get_entity_hierarchy for "
            "RegisteredEdgeSystem->RegisteredMetric")

    def test_implementation_get_entity_hierarchy_device_metric(self):
        """
        Test case to check get_entity_entity_hierarchy() for RegisteredEdgeSystem->RegisteredDevice->RegisteredMetric
        :return: None
        """

        # Register the edge
        registered_entity = self.aws.register(self.edge_system)

        #  Creating Simulated Device
        test_sensor = SimulatedDevice("TestSensor")

        #  Registering Device and creating Parent-Child relationship
        reg_test_sensor = self.aws.register(test_sensor)

        self.aws.create_relationship(registered_entity, reg_test_sensor)

        #  Creating test Metric
        test_metric = Metric(name="Test_Metric",
                             unit=ureg.degC,
                             interval=10,
                             aggregation_size=2,
                             sampling_function=sampling_function)

        registered_metric = self.aws.register(test_metric)

        # Creating the parent-child relationship
        self.aws.create_relationship(reg_test_sensor, registered_metric)

        # Getting the parent child relationship array from registered metric
        entity_hierarchy = get_entity_hierarchy(registered_metric)

        self.assertSequenceEqual(
            [
                registered_entity.ref_entity.name,
                reg_test_sensor.ref_entity.name,
                registered_metric.ref_entity.name
            ], entity_hierarchy,
            "Check the implementation of _get_entity_hierarchy for "
            "RegisteredEdgeSystem->RegisteredDevice->RegisteredMetric")