class TestTransformWorker(IonIntegrationTestCase):

    def setUp(self):
        self._start_container()
        self.container.start_rel_from_url('res/deploy/r2deploy.yml')
        # Instantiate a process to represent the test
        process=TransformWorkerTestProcess()

        self.dataset_management_client = DatasetManagementServiceClient(node=self.container.node)
        self.pubsub_client = PubsubManagementServiceClient(node=self.container.node)
        self.dataproductclient = DataProductManagementServiceClient(node=self.container.node)
        self.dataprocessclient = DataProcessManagementServiceClient(node=self.container.node)
        self.processdispatchclient = ProcessDispatcherServiceClient(node=self.container.node)
        self.damsclient = DataAcquisitionManagementServiceClient(node=self.container.node)
        self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
        self.imsclient = InstrumentManagementServiceProcessClient(node=self.container.node, process = process)

        self.time_dom, self.spatial_dom = time_series_domain()

        self.ph = ParameterHelper(self.dataset_management_client, self.addCleanup)

        self.wait_time = CFG.get_safe('endpoint.receive.timeout', 10)

    def push_granule(self, data_product_id):
        '''
        Publishes and monitors that the granule arrived
        '''
        datasets, _ = self.rrclient.find_objects(data_product_id, PRED.hasDataset, id_only=True)
        dataset_monitor = DatasetMonitor(datasets[0])

        rdt = self.ph.rdt_for_data_product(data_product_id)
        self.ph.fill_parsed_rdt(rdt)
        self.ph.publish_rdt_to_data_product(data_product_id, rdt)

        assert dataset_monitor.wait()
        dataset_monitor.stop()



    @attr('LOCOINT')
    @unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False), 'Skip test while in CEI LAUNCH mode')
    def test_transform_worker(self):

        # test that a data process (type: data-product-in / data-product-out) can be defined and launched.
        # verify that the output granule fields are correctly populated

        # test that the input and output data products are linked to facilitate provenance

        self.dp_list = []
        self.data_process_objs = []
        self._output_stream_ids = []
        self.granule_verified = Event()
        self.worker_assigned_event_verified = Event()
        self.dp_created_event_verified = Event()
        self.heartbeat_event_verified = Event()

        self.parameter_dict_id = self.dataset_management_client.read_parameter_dictionary_by_name(name='ctd_parsed_param_dict', id_only=True)

        # create the StreamDefinition
        self.stream_def_id = self.pubsub_client.create_stream_definition(name='stream_def', parameter_dictionary_id=self.parameter_dict_id)
        self.addCleanup(self.pubsub_client.delete_stream_definition, self.stream_def_id)

        # create the DataProduct that is the input to the data processes
        input_dp_obj = IonObject(  RT.DataProduct, name='input_data_product', description='input test stream',
                                             temporal_domain = self.time_dom.dump(),  spatial_domain = self.spatial_dom.dump())
        self.input_dp_id = self.dataproductclient.create_data_product(data_product=input_dp_obj,  stream_definition_id=self.stream_def_id)

        # retrieve the Stream for this data product
        stream_ids, assoc_ids = self.rrclient.find_objects(self.input_dp_id, PRED.hasStream, RT.Stream, True)
        self.stream_id = stream_ids[0]

        self.start_event_listener()

        # create the DPD, DataProcess and output DataProduct
        dataprocessdef_id, dataprocess_id, dataproduct_id = self.create_data_process()
        self.dp_list.append(dataprocess_id)

        # validate the repository for data product algorithms persists the new resources  NEW SA-1
        # create_data_process call created one of each
        dpd_ids, _ = self.rrclient.find_resources(restype=OT.DataProcessDefinition, id_only=False)
        # there will be more than one becuase of the DPDs that reperesent the PFs in the data product above
        self.assertTrue(dpd_ids is not None)
        dp_ids, _ = self.rrclient.find_resources(restype=OT.DataProcess, id_only=False)
        # only one DP becuase the PFs that are in the code dataproduct above are not activated yet.
        self.assertEquals(len(dp_ids), 1)


        # validate the name and version label  NEW SA - 2
        dataprocessdef_obj = self.dataprocessclient.read_data_process_definition(dataprocessdef_id)
        self.assertEqual(dataprocessdef_obj.version_label, '1.0a')
        self.assertEqual(dataprocessdef_obj.name, 'add_arrays')

        # validate that the DPD has an attachment  NEW SA - 21
        attachment_ids, assoc_ids = self.rrclient.find_objects(dataprocessdef_id, PRED.hasAttachment, RT.Attachment, True)
        self.assertEqual(len(attachment_ids), 1)
        attachment_obj = self.rrclient.read_attachment(attachment_ids[0])
        log.debug('attachment: %s', attachment_obj)

        # validate that the data process resource has input and output data products associated
        # L4-CI-SA-RQ-364  and NEW SA-3
        outproduct_ids, assoc_ids = self.rrclient.find_objects(dataprocess_id, PRED.hasOutputProduct, RT.DataProduct, True)
        self.assertEqual(len(outproduct_ids), 1)
        inproduct_ids, assoc_ids = self.rrclient.find_objects(dataprocess_id, PRED.hasInputProduct, RT.DataProduct, True)
        self.assertEqual(len(inproduct_ids), 1)

        # Test for provenance. Get Data product produced by the data processes
        output_data_product_id,_ = self.rrclient.find_objects(subject=dataprocess_id,
            object_type=RT.DataProduct,
            predicate=PRED.hasOutputProduct,
            id_only=True)

        output_data_product_provenance = self.dataproductclient.get_data_product_provenance(output_data_product_id[0])

        # Do a basic check to see if there were 3 entries in the provenance graph. Parent and Child and the
        # DataProcessDefinition creating the child from the parent.
        self.assertTrue(len(output_data_product_provenance) == 2)
        self.assertTrue(self.input_dp_id in output_data_product_provenance[output_data_product_id[0]]['parents'])
        self.assertTrue(output_data_product_provenance[output_data_product_id[0]]['parents'][self.input_dp_id]['data_process_definition_id'] == dataprocessdef_id)


        # NEW SA - 4 | Data processing shall include the appropriate data product algorithm name and version number in
        # the metadata of each output data product created by the data product algorithm.
        output_data_product_obj,_ = self.rrclient.find_objects(subject=dataprocess_id,
            object_type=RT.DataProduct,
            predicate=PRED.hasOutputProduct,
            id_only=False)
        self.assertTrue(output_data_product_obj[0].name != None)
        self.assertTrue(output_data_product_obj[0]._rev != None)

        # retrieve subscription from data process
        subscription_objs, _ = self.rrclient.find_objects(subject=dataprocess_id, predicate=PRED.hasSubscription, object_type=RT.Subscription, id_only=False)
        log.debug('test_transform_worker subscription_obj:  %s', subscription_objs[0])

        # create a queue to catch the published granules
        self.subscription_id = self.pubsub_client.create_subscription(name='parsed_subscription', stream_ids=[self.stream_id], exchange_name=subscription_objs[0].exchange_name)
        self.addCleanup(self.pubsub_client.delete_subscription, self.subscription_id)

        self.pubsub_client.activate_subscription(self.subscription_id)
        self.addCleanup(self.pubsub_client.deactivate_subscription, self.subscription_id)

        stream_route = self.pubsub_client.read_stream_route(self.stream_id)
        self.publisher = StandaloneStreamPublisher(stream_id=self.stream_id, stream_route=stream_route )


        for n in range(1, 101):
            rdt = RecordDictionaryTool(stream_definition_id=self.stream_def_id)
            rdt['time']         = [0] # time should always come first
            rdt['conductivity'] = [1]
            rdt['pressure']     = [2]
            rdt['salinity']     = [8]

            self.publisher.publish(rdt.to_granule())

        # validate that the output granule is received and the updated value is correct
        self.assertTrue(self.granule_verified.wait(self.wait_time))


        # validate that the data process loaded into worker event is received    (L4-CI-SA-RQ-182)
        self.assertTrue(self.worker_assigned_event_verified.wait(self.wait_time))

        # validate that the data process create (with data product ids) event is received    (NEW SA -42)
        self.assertTrue(self.dp_created_event_verified.wait(self.wait_time))

        # validate that the data process heartbeat event is received (for every hundred granules processed) (L4-CI-SA-RQ-182)
        #this takes a while so set wait limit to large value
        self.assertTrue(self.heartbeat_event_verified.wait(200))

        # validate that the code from the transform function can be retrieve via inspect_data_process_definition
        src = self.dataprocessclient.inspect_data_process_definition(dataprocessdef_id)
        self.assertIn( 'def add_arrays(a, b)', src)

        # now delete the DPD and DP then verify that the resources are retired so that information required for provenance are still available
        self.dataprocessclient.delete_data_process(dataprocess_id)
        self.dataprocessclient.delete_data_process_definition(dataprocessdef_id)

        in_dp_objs, _ = self.rrclient.find_objects(subject=dataprocess_id, predicate=PRED.hasInputProduct, object_type=RT.DataProduct, id_only=True)
        self.assertTrue(in_dp_objs is not None)

        dpd_objs, _ = self.rrclient.find_subjects(subject_type=RT.DataProcessDefinition, predicate=PRED.hasDataProcess, object=dataprocess_id, id_only=True)
        self.assertTrue(dpd_objs is not None)

    @attr('LOCOINT')
    @unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False), 'Skip test while in CEI LAUNCH mode')
    def test_transform_worker_with_instrumentdevice(self):

        # test that a data process (type: data-product-in / data-product-out) can be defined and launched.
        # verify that the output granule fields are correctly populated

        # test that the input and output data products are linked to facilitate provenance

        self.data_process_objs = []
        self._output_stream_ids = []
        self.event_verified = Event()

        # Create CTD Parsed as the initial data product
        # create a stream definition for the data from the ctd simulator
        self.parameter_dict_id = self.dataset_management_client.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
        self.stream_def_id = self.pubsub_client.create_stream_definition(name='stream_def', parameter_dictionary_id=self.parameter_dict_id)

        # create the DataProduct that is the input to the data processes
        input_dp_obj = IonObject(  RT.DataProduct, name='input_data_product', description='input test stream',
            temporal_domain = self.time_dom.dump(),  spatial_domain = self.spatial_dom.dump())
        self.input_dp_id = self.dataproductclient.create_data_product(data_product=input_dp_obj,  stream_definition_id=self.stream_def_id)

        # retrieve the Stream for this data product
        stream_ids, assoc_ids = self.rrclient.find_objects(self.input_dp_id, PRED.hasStream, RT.Stream, True)
        self.stream_id = stream_ids[0]

        log.debug('new ctd_parsed_data_product_id = %s' % self.input_dp_id)

        # only ever need one device for testing purposes.
        instDevice_obj,_ = self.rrclient.find_resources(restype=RT.InstrumentDevice, name='test_ctd_device')
        if instDevice_obj:
            instDevice_id = instDevice_obj[0]._id
        else:
            instDevice_obj = IonObject(RT.InstrumentDevice, name='test_ctd_device', description="test_ctd_device", serial_number="12345" )
            instDevice_id = self.imsclient.create_instrument_device(instrument_device=instDevice_obj)

        self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=self.input_dp_id)

        # create the DPD, DataProcess and output DataProduct
        dataprocessdef_id, dataprocess_id, dataproduct_id = self.create_data_process()

        self.addCleanup(self.dataprocessclient.delete_data_process, dataprocess_id)
        self.addCleanup(self.dataprocessclient.delete_data_process_definition, dataprocessdef_id)

        # Test for provenance. Get Data product produced by the data processes
        output_data_product_id,_ = self.rrclient.find_objects(subject=dataprocess_id,
            object_type=RT.DataProduct,
            predicate=PRED.hasOutputProduct,
            id_only=True)

        output_data_product_provenance = self.dataproductclient.get_data_product_provenance(output_data_product_id[0])

        # Do a basic check to see if there were 3 entries in the provenance graph. Parent and Child and the
        # DataProcessDefinition creating the child from the parent.
        self.assertTrue(len(output_data_product_provenance) == 3)
        self.assertTrue(self.input_dp_id in output_data_product_provenance[output_data_product_id[0]]['parents'])
        self.assertTrue(instDevice_id in output_data_product_provenance[self.input_dp_id]['parents'])
        self.assertTrue(output_data_product_provenance[instDevice_id]['type'] == 'InstrumentDevice')

    @attr('LOCOINT')
    @unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False), 'Skip test while in CEI LAUNCH mode')
    def test_transform_worker_with_platformdevice(self):

        # test that a data process (type: data-product-in / data-product-out) can be defined and launched.
        # verify that the output granule fields are correctly populated

        # test that the input and output data products are linked to facilitate provenance

        self.data_process_objs = []
        self._output_stream_ids = []
        self.event_verified = Event()

        # Create CTD Parsed as the initial data product
        # create a stream definition for the data from the ctd simulator
        self.parameter_dict_id = self.dataset_management_client.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
        self.stream_def_id = self.pubsub_client.create_stream_definition(name='stream_def', parameter_dictionary_id=self.parameter_dict_id)

        # create the DataProduct that is the input to the data processes
        input_dp_obj = IonObject(  RT.DataProduct, name='input_data_product', description='input test stream',
            temporal_domain = self.time_dom.dump(),  spatial_domain = self.spatial_dom.dump())
        self.input_dp_id = self.dataproductclient.create_data_product(data_product=input_dp_obj,  stream_definition_id=self.stream_def_id)

        # retrieve the Stream for this data product
        stream_ids, assoc_ids = self.rrclient.find_objects(self.input_dp_id, PRED.hasStream, RT.Stream, True)
        self.stream_id = stream_ids[0]

        log.debug('new ctd_parsed_data_product_id = %s' % self.input_dp_id)

        # only ever need one device for testing purposes.
        platform_device_obj,_ = self.rrclient.find_resources(restype=RT.PlatformDevice, name='TestPlatform')
        if platform_device_obj:
            platform_device_id = platform_device_obj[0]._id
        else:
            platform_device_obj = IonObject(RT.PlatformDevice, name='TestPlatform', description="TestPlatform", serial_number="12345" )
            platform_device_id = self.imsclient.create_platform_device(platform_device=platform_device_obj)

        self.damsclient.assign_data_product(input_resource_id=platform_device_id, data_product_id=self.input_dp_id)

        # create the DPD, DataProcess and output DataProduct
        dataprocessdef_id, dataprocess_id, dataproduct_id = self.create_data_process()
        self.addCleanup(self.dataprocessclient.delete_data_process, dataprocess_id)
        self.addCleanup(self.dataprocessclient.delete_data_process_definition, dataprocessdef_id)

        # Test for provenance. Get Data product produced by the data processes
        output_data_product_id,_ = self.rrclient.find_objects(subject=dataprocess_id,
            object_type=RT.DataProduct,
            predicate=PRED.hasOutputProduct,
            id_only=True)

        output_data_product_provenance = self.dataproductclient.get_data_product_provenance(output_data_product_id[0])

        # Do a basic check to see if there were 3 entries in the provenance graph. Parent and Child and the
        # DataProcessDefinition creating the child from the parent.
        self.assertTrue(len(output_data_product_provenance) == 3)
        self.assertTrue(self.input_dp_id in output_data_product_provenance[output_data_product_id[0]]['parents'])
        self.assertTrue(platform_device_id in output_data_product_provenance[self.input_dp_id]['parents'])
        self.assertTrue(output_data_product_provenance[platform_device_id]['type'] == 'PlatformDevice')


    @attr('LOCOINT')
    @unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False), 'Skip test while in CEI LAUNCH mode')
    def test_event_transform_worker(self):
        self.data_process_objs = []
        self._output_stream_ids = []
        self.event_verified = Event()


        # test that a data process (type: data-product-in / event-out) can be defined and launched.
        # verify that event fields are correctly populated


        self.parameter_dict_id = self.dataset_management_client.read_parameter_dictionary_by_name(name='ctd_parsed_param_dict', id_only=True)

        # create the StreamDefinition
        self.stream_def_id = self.pubsub_client.create_stream_definition(name='stream_def', parameter_dictionary_id=self.parameter_dict_id)
        self.addCleanup(self.pubsub_client.delete_stream_definition, self.stream_def_id)

        # create the DataProduct
        input_dp_obj = IonObject(  RT.DataProduct, name='input_data_product', description='input test stream',
                                             temporal_domain = self.time_dom.dump(),  spatial_domain = self.spatial_dom.dump())
        self.input_dp_id = self.dataproductclient.create_data_product(data_product=input_dp_obj,  stream_definition_id=self.stream_def_id)

        # retrieve the Stream for this data product
        stream_ids, assoc_ids = self.rrclient.find_objects(self.input_dp_id, PRED.hasStream, RT.Stream, True)
        self.stream_id = stream_ids[0]

        # create the DPD and two DPs
        self.event_data_process_id = self.create_event_data_processes()

        # retrieve subscription from data process
        subscription_objs, _ = self.rrclient.find_objects(subject=self.event_data_process_id, predicate=PRED.hasSubscription, object_type=RT.Subscription, id_only=False)
        log.debug('test_event_transform_worker subscription_obj:  %s', subscription_objs[0])

        # create a queue to catch the published granules
        self.subscription_id = self.pubsub_client.create_subscription(name='parsed_subscription', stream_ids=[self.stream_id], exchange_name=subscription_objs[0].exchange_name)
        self.addCleanup(self.pubsub_client.delete_subscription, self.subscription_id)

        self.pubsub_client.activate_subscription(self.subscription_id)
        self.addCleanup(self.pubsub_client.deactivate_subscription, self.subscription_id)

        stream_route = self.pubsub_client.read_stream_route(self.stream_id)
        self.publisher = StandaloneStreamPublisher(stream_id=self.stream_id, stream_route=stream_route )

        self.start_event_transform_listener()

        self.data_modified = Event()

        rdt = RecordDictionaryTool(stream_definition_id=self.stream_def_id)
        rdt['time']         = [0] # time should always come first
        rdt['conductivity'] = [1]
        rdt['pressure']     = [2]
        rdt['salinity']     = [8]

        self.publisher.publish(rdt.to_granule())

        self.assertTrue(self.event_verified.wait(self.wait_time))



    @attr('LOCOINT')
    @unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False), 'Skip test while in CEI LAUNCH mode')
    def test_bad_argument_map(self):
        self._output_stream_ids = []

        # test that a data process (type: data-product-in / data-product-out) parameter mapping it validated during
        # data process creation and that the correct exception is raised for both input and output.

        self.parameter_dict_id = self.dataset_management_client.read_parameter_dictionary_by_name(name='ctd_parsed_param_dict', id_only=True)

        # create the StreamDefinition
        self.stream_def_id = self.pubsub_client.create_stream_definition(name='stream_def', parameter_dictionary_id=self.parameter_dict_id)
        self.addCleanup(self.pubsub_client.delete_stream_definition, self.stream_def_id)

        # create the DataProduct that is the input to the data processes
        input_dp_obj = IonObject(  RT.DataProduct, name='input_data_product', description='input test stream',
                                             temporal_domain = self.time_dom.dump(),  spatial_domain = self.spatial_dom.dump())
        self.input_dp_id = self.dataproductclient.create_data_product(data_product=input_dp_obj,  stream_definition_id=self.stream_def_id)

        # two data processes using one transform and one DPD

        dp1_func_output_dp_id =  self.create_output_data_product()


        # Set up DPD and DP #2 - array add function
        tf_obj = IonObject(RT.TransformFunction,
            name='add_array_func',
            description='adds values in an array',
            function='add_arrays',
            module="ion_example.add_arrays",
            arguments=['arr1', 'arr2'],
            function_type=TransformFunctionType.TRANSFORM,
            uri='http://sddevrepo.oceanobservatories.org/releases/ion_example-0.1-py2.7.egg'
            )
        add_array_func_id, rev = self.rrclient.create(tf_obj)

        dpd_obj = IonObject(RT.DataProcessDefinition,
            name='add_arrays',
            description='adds the values of two arrays',
            data_process_type=DataProcessTypeEnum.TRANSFORM_PROCESS
            )
        add_array_dpd_id = self.dataprocessclient.create_data_process_definition(data_process_definition=dpd_obj, function_id=add_array_func_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(self.stream_def_id, add_array_dpd_id, binding='add_array_func' )

        # create the data process with invalid argument map
        argument_map = {"arr1": "foo", "arr2": "bar"}
        output_param = "salinity"
        with self.assertRaises(BadRequest) as cm:
            dp1_data_process_id = self.dataprocessclient.create_data_process(data_process_definition_id=add_array_dpd_id, inputs=[self.input_dp_id],
                                                                                 outputs=[dp1_func_output_dp_id], argument_map=argument_map, out_param_name=output_param)

        ex = cm.exception
        log.debug(' exception raised: %s', cm)
        self.assertEqual(ex.message, "Input data product does not contain the parameters defined in argument map")

        # create the data process with invalid output parameter name
        argument_map = {"arr1": "conductivity", "arr2": "pressure"}
        output_param = "foo"
        with self.assertRaises(BadRequest) as cm:
            dp1_data_process_id = self.dataprocessclient.create_data_process(data_process_definition_id=add_array_dpd_id, inputs=[self.input_dp_id],
                                                                                 outputs=[dp1_func_output_dp_id], argument_map=argument_map, out_param_name=output_param)

        ex = cm.exception
        log.debug(' exception raised: %s', cm)
        self.assertEqual(ex.message, "Output data product does not contain the output parameter name provided")


    def create_event_data_processes(self):

        # two data processes using one transform and one DPD
        argument_map= {"a": "salinity"}


        # set up DPD and DP #2 - array add function
        tf_obj = IonObject(RT.TransformFunction,
            name='validate_salinity_array',
            description='validate_salinity_array',
            function='validate_salinity_array',
            module="ion.processes.data.transforms.test.test_transform_worker",
            arguments=['a'],
            function_type=TransformFunctionType.TRANSFORM
            )

        add_array_func_id, rev = self.rrclient.create(tf_obj)

        dpd_obj = IonObject(RT.DataProcessDefinition,
            name='validate_salinity_array',
            description='validate_salinity_array',
            data_process_type=DataProcessTypeEnum.TRANSFORM_PROCESS,
            )
        add_array_dpd_id = self.dataprocessclient.create_data_process_definition(data_process_definition=dpd_obj, function_id=add_array_func_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(self.stream_def_id, add_array_dpd_id, binding='validate_salinity_array' )

        # create the data process
        dp1_data_process_id = self.dataprocessclient.create_data_process(data_process_definition_id=add_array_dpd_id, inputs=[self.input_dp_id],
                                                                             outputs=None, argument_map=argument_map)
        self.damsclient.register_process(dp1_data_process_id)
        self.addCleanup(self.dataprocessclient.delete_data_process, dp1_data_process_id)

        return dp1_data_process_id

    def create_data_process(self):

        # two data processes using one transform and one DPD

        dp1_func_output_dp_id =  self.create_output_data_product()
        argument_map = {"arr1": "conductivity", "arr2": "pressure"}
        output_param = "salinity"


        # set up DPD and DP #2 - array add function
        tf_obj = IonObject(RT.TransformFunction,
            name='add_array_func',
            description='adds values in an array',
            function='add_arrays',
            module="ion_example.add_arrays",
            arguments=['arr1', 'arr2'],
            function_type=TransformFunctionType.TRANSFORM,
             uri='http://sddevrepo.oceanobservatories.org/releases/ion_example-0.1-py2.7.egg'
            )
        add_array_func_id, rev = self.rrclient.create(tf_obj)

        dpd_obj = IonObject(RT.DataProcessDefinition,
            name='add_arrays',
            description='adds the values of two arrays',
            data_process_type=DataProcessTypeEnum.TRANSFORM_PROCESS,
            version_label='1.0a'
            )
        add_array_dpd_id = self.dataprocessclient.create_data_process_definition(data_process_definition=dpd_obj, function_id=add_array_func_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(self.stream_def_id, add_array_dpd_id, binding='add_array_func' )

        # create the data process
        dp1_data_process_id = self.dataprocessclient.create_data_process(data_process_definition_id=add_array_dpd_id, inputs=[self.input_dp_id],
                                                                             outputs=[dp1_func_output_dp_id], argument_map=argument_map, out_param_name=output_param)
        self.damsclient.register_process(dp1_data_process_id)
        #self.addCleanup(self.dataprocessclient.delete_data_process, dp1_data_process_id)

        # add an attachment object to this DPD to test new SA-21
        import msgpack
        attachment_content = 'foo bar'
        attachment_obj = IonObject( RT.Attachment,
                                name='test_attachment',
                                attachment_type=AttachmentType.ASCII,
                                content_type='text/plain',
                                content=msgpack.packb(attachment_content))
        att_id = self.rrclient.create_attachment(add_array_dpd_id, attachment_obj)
        self.addCleanup(self.rrclient.delete_attachment, att_id)

        return add_array_dpd_id, dp1_data_process_id, dp1_func_output_dp_id


    def create_output_data_product(self):
        dp1_outgoing_stream_id = self.pubsub_client.create_stream_definition(name='dp1_stream', parameter_dictionary_id=self.parameter_dict_id)

        dp1_output_dp_obj = IonObject(  RT.DataProduct,
            name='data_process1_data_product',
            description='output of add array func',
            temporal_domain = self.time_dom.dump(),
            spatial_domain = self.spatial_dom.dump())

        dp1_func_output_dp_id = self.dataproductclient.create_data_product(dp1_output_dp_obj,  dp1_outgoing_stream_id)
        self.addCleanup(self.dataproductclient.delete_data_product, dp1_func_output_dp_id)
        # retrieve the id of the OUTPUT stream from the out Data Product and add to granule logger
        stream_ids, _ = self.rrclient.find_objects(dp1_func_output_dp_id, PRED.hasStream, None, True)
        self._output_stream_ids.append(stream_ids[0])

        subscription_id = self.pubsub_client.create_subscription('validator', data_product_ids=[dp1_func_output_dp_id])
        self.addCleanup(self.pubsub_client.delete_subscription, subscription_id)

        def on_granule(msg, route, stream_id):
            log.debug('recv_packet stream_id: %s route: %s   msg: %s', stream_id, route, msg)
            self.validate_output_granule(msg, route, stream_id)
            self.granule_verified.set()

        validator = StandaloneStreamSubscriber('validator', callback=on_granule)
        validator.start()
        self.addCleanup(validator.stop)

        self.pubsub_client.activate_subscription(subscription_id)
        self.addCleanup(self.pubsub_client.deactivate_subscription, subscription_id)

        return dp1_func_output_dp_id


    def validate_event(self, *args, **kwargs):
        """
        This method is a callback function for receiving DataProcessStatusEvent.
        """
        data_process_event = args[0]
        log.debug("DataProcessStatusEvent: %s" ,  str(data_process_event.__dict__))

        # if data process already created, check origin
        if self.dp_list:
            self.assertIn( data_process_event.origin, self.dp_list)

            # if this is a heartbeat event then 100 granules have been processed
            if 'data process status update.' in data_process_event.description:
                self.heartbeat_event_verified.set()

        else:
            # else check that this is the assign event

            if 'Data process assigned to transform worker' in data_process_event.description:
                self.worker_assigned_event_verified.set()
            elif 'Data process created for data product' in data_process_event.description:
                self.dp_created_event_verified.set()


    def validate_output_granule(self, msg, route, stream_id):
        self.assertIn( stream_id, self._output_stream_ids)

        rdt = RecordDictionaryTool.load_from_granule(msg)
        log.debug('validate_output_granule  rdt: %s', rdt)
        sal_val = rdt['salinity']
        np.testing.assert_array_equal(sal_val, np.array([3]))

    def start_event_listener(self):

        es = EventSubscriber(event_type=OT.DataProcessStatusEvent, callback=self.validate_event)
        es.start()

        self.addCleanup(es.stop)

    def validate_transform_event(self, *args, **kwargs):
        """
        This method is a callback function for receiving DataProcessStatusEvent.
        """
        status_alert_event = args[0]

        np.testing.assert_array_equal(status_alert_event.origin, self.stream_id )
        np.testing.assert_array_equal(status_alert_event.values, np.array([self.event_data_process_id]))
        log.debug("DeviceStatusAlertEvent: %s" ,  str(status_alert_event.__dict__))
        self.event_verified.set()


    def start_event_transform_listener(self):
        es = EventSubscriber(event_type=OT.DeviceStatusAlertEvent, callback=self.validate_transform_event)
        es.start()

        self.addCleanup(es.stop)


    def test_download(self):
        egg_url = 'http://sddevrepo.oceanobservatories.org/releases/ion_example-0.1-py2.7.egg'
        egg_path = TransformWorker.download_egg(egg_url)

        import pkg_resources
        pkg_resources.working_set.add_entry(egg_path)

        from ion_example.add_arrays import add_arrays

        a = add_arrays(1,2)
        self.assertEquals(a,3)
class TestIntDataProcessManagementServiceMultiOut(IonIntegrationTestCase):

    def setUp(self):
        # Start container
        self._start_container()
        self.container.start_rel_from_url('res/deploy/r2deploy.yml')

        # Now create client to DataProductManagementService
        self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
        self.damsclient = DataAcquisitionManagementServiceClient(node=self.container.node)
        self.pubsubclient =  PubsubManagementServiceClient(node=self.container.node)
        self.ingestclient = IngestionManagementServiceClient(node=self.container.node)
        self.imsclient = InstrumentManagementServiceClient(node=self.container.node)
        self.dataproductclient = DataProductManagementServiceClient(node=self.container.node)
        self.dataprocessclient = DataProcessManagementServiceClient(node=self.container.node)
        self.datasetclient =  DatasetManagementServiceClient(node=self.container.node)
        self.dataset_management = self.datasetclient
        self.process_dispatcher = ProcessDispatcherServiceClient(node=self.container.node)

    def test_createDataProcess(self):

        #---------------------------------------------------------------------------
        # Data Process Definition
        #---------------------------------------------------------------------------
        dpd_obj = IonObject(RT.DataProcessDefinition,
                            name='ctd_L0_all',
                            description='transform ctd package into three separate L0 streams',
                            module='ion.processes.data.transforms.ctd.ctd_L0_all',
                            class_name='ctd_L0_all')
        dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)

        # Make assertion on the newly registered data process definition
        data_process_definition = self.rrclient.read(dprocdef_id)
        self.assertEquals(data_process_definition.name, 'ctd_L0_all')
        self.assertEquals(data_process_definition.description, 'transform ctd package into three separate L0 streams')
        self.assertEquals(data_process_definition.module, 'ion.processes.data.transforms.ctd.ctd_L0_all')
        self.assertEquals(data_process_definition.class_name, 'ctd_L0_all')

        # Read the data process definition using data process management and make assertions
        dprocdef_obj = self.dataprocessclient.read_data_process_definition(dprocdef_id)
        self.assertEquals(dprocdef_obj.class_name,'ctd_L0_all')
        self.assertEquals(dprocdef_obj.module,'ion.processes.data.transforms.ctd.ctd_L0_all')

        #---------------------------------------------------------------------------
        # Create an input instrument
        #---------------------------------------------------------------------------

        instrument_obj = IonObject(RT.InstrumentDevice, name='Inst1',description='an instrument that is creating the data product')
        instrument_id, rev = self.rrclient.create(instrument_obj)

        # Register the instrument so that the data producer and stream object are created
        data_producer_id = self.damsclient.register_instrument(instrument_id)

        # create a stream definition for the data from the ctd simulator
        pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
        ctd_stream_def_id = self.pubsubclient.create_stream_definition(name='Simulated CTD data', parameter_dictionary_id=pdict_id)

        self.dataprocessclient.assign_input_stream_definition_to_data_process_definition(ctd_stream_def_id, dprocdef_id )

        # Assert that the link between the stream definition and the data process definition was done
        assocs = self.rrclient.find_associations(subject=dprocdef_id, predicate=PRED.hasInputStreamDefinition, object=ctd_stream_def_id, id_only=True)

        self.assertIsNotNone(assocs)

        #---------------------------------------------------------------------------
        # Input Data Product
        #---------------------------------------------------------------------------
        tdom, sdom = time_series_domain()
        sdom = sdom.dump()
        tdom = tdom.dump()


        input_dp_obj = IonObject(   RT.DataProduct,
                                    name='InputDataProduct',
                                    description='some new dp',
                                    temporal_domain = tdom,
                                    spatial_domain = sdom)

        input_dp_id = self.dataproductclient.create_data_product(data_product=input_dp_obj, stream_definition_id=ctd_stream_def_id, exchange_point='test')

        #Make assertions on the input data product created
        input_dp_obj = self.rrclient.read(input_dp_id)
        self.assertEquals(input_dp_obj.name, 'InputDataProduct')
        self.assertEquals(input_dp_obj.description, 'some new dp')

        self.damsclient.assign_data_product(instrument_id, input_dp_id)

        # Retrieve the stream via the DataProduct->Stream associations
        stream_ids, _ = self.rrclient.find_objects(input_dp_id, PRED.hasStream, None, True)

        self.in_stream_id = stream_ids[0]

        #---------------------------------------------------------------------------
        # Output Data Product
        #---------------------------------------------------------------------------

        outgoing_stream_conductivity_id = self.pubsubclient.create_stream_definition(name='conductivity', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_conductivity_id, dprocdef_id,binding='conductivity' )

        outgoing_stream_pressure_id = self.pubsubclient.create_stream_definition(name='pressure', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_pressure_id, dprocdef_id, binding='pressure' )

        outgoing_stream_temperature_id = self.pubsubclient.create_stream_definition(name='temperature', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_temperature_id, dprocdef_id, binding='temperature' )


        self.output_products={}

        output_dp_obj = IonObject(RT.DataProduct,
            name='conductivity',
            description='transform output conductivity',
            temporal_domain = tdom,
            spatial_domain = sdom)

        output_dp_id_1 = self.dataproductclient.create_data_product(output_dp_obj, outgoing_stream_conductivity_id)
        self.output_products['conductivity'] = output_dp_id_1

        output_dp_obj = IonObject(RT.DataProduct,
            name='pressure',
            description='transform output pressure',
            temporal_domain = tdom,
            spatial_domain = sdom)

        output_dp_id_2 = self.dataproductclient.create_data_product(output_dp_obj, outgoing_stream_pressure_id)
        self.output_products['pressure'] = output_dp_id_2

        output_dp_obj = IonObject(RT.DataProduct,
            name='temperature',
            description='transform output ',
            temporal_domain = tdom,
            spatial_domain = sdom)

        output_dp_id_3 = self.dataproductclient.create_data_product(output_dp_obj, outgoing_stream_temperature_id)
        self.output_products['temperature'] = output_dp_id_3


        #---------------------------------------------------------------------------
        # Create the data process
        #---------------------------------------------------------------------------
        def _create_data_process():
            dproc_id = self.dataprocessclient.create_data_process(dprocdef_id, [input_dp_id], self.output_products)
            return dproc_id

        dproc_id = _create_data_process()

        # Make assertions on the data process created
        data_process = self.dataprocessclient.read_data_process(dproc_id)

        # Assert that the data process has a process id attached
        self.assertIsNotNone(data_process.process_id)

        # Assert that the data process got the input data product's subscription id attached as its own input_susbcription_id attribute
        self.assertIsNotNone(data_process.input_subscription_id)

        output_data_product_ids = self.rrclient.find_objects(subject=dproc_id, predicate=PRED.hasOutputProduct, object_type=RT.DataProduct, id_only=True)

        self.assertEquals(Set(output_data_product_ids[0]), Set([output_dp_id_1,output_dp_id_2,output_dp_id_3]))


    @patch.dict(CFG, {'endpoint':{'receive':{'timeout': 60}}})
    def test_createDataProcessUsingSim(self):
        #-------------------------------
        # Create InstrumentModel
        #-------------------------------
        instModel_obj = IonObject(RT.InstrumentModel, name='SBE37IMModel', description="SBE37IMModel" )
        instModel_id = self.imsclient.create_instrument_model(instModel_obj)

        #-------------------------------
        # Create InstrumentAgent
        #-------------------------------
        instAgent_obj = IonObject(RT.InstrumentAgent, name='agent007', description="SBE37IMAgent", driver_uri="http://sddevrepo.oceanobservatories.org/releases/seabird_sbe37smb_ooicore-0.0.1-py2.7.egg")
        instAgent_id = self.imsclient.create_instrument_agent(instAgent_obj)

        self.imsclient.assign_instrument_model_to_instrument_agent(instModel_id, instAgent_id)

        #-------------------------------
        # Create InstrumentDevice
        #-------------------------------
        instDevice_obj = IonObject(RT.InstrumentDevice, name='SBE37IMDevice', description="SBE37IMDevice", serial_number="12345" )
        instDevice_id = self.imsclient.create_instrument_device(instrument_device=instDevice_obj)
        self.imsclient.assign_instrument_model_to_instrument_device(instModel_id, instDevice_id)

        #-------------------------------
        # Create InstrumentAgentInstance to hold configuration information
        #-------------------------------


        port_agent_config = {
            'device_addr': 'sbe37-simulator.oceanobservatories.org',
            'device_port': 4001,
            'process_type': PortAgentProcessType.UNIX,
            'binary_path': "port_agent",
            'command_port': 4002,
            'data_port': 4003,
            'log_level': 5,
        }


        port_agent_config = {
            'device_addr':  CFG.device.sbe37.host,
            'device_port':  CFG.device.sbe37.port,
            'process_type': PortAgentProcessType.UNIX,
            'binary_path': "port_agent",
            'port_agent_addr': 'localhost',
            'command_port': CFG.device.sbe37.port_agent_cmd_port,
            'data_port': CFG.device.sbe37.port_agent_data_port,
            'log_level': 5,
            'type': PortAgentType.ETHERNET
        }

        instAgentInstance_obj = IonObject(RT.InstrumentAgentInstance, name='SBE37IMAgentInstance', description="SBE37IMAgentInstance",
                                          port_agent_config = port_agent_config)
        instAgentInstance_id = self.imsclient.create_instrument_agent_instance(instAgentInstance_obj, instAgent_id, instDevice_id)


        #-------------------------------
        # Create CTD Parsed as the first data product
        #-------------------------------
        # create a stream definition for the data from the ctd simulator
        pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
        ctd_stream_def_id = self.pubsubclient.create_stream_definition(name='SBE32_CDM', parameter_dictionary_id=pdict_id)

        # Construct temporal and spatial Coordinate Reference System objects
        tdom, sdom = time_series_domain()

        sdom = sdom.dump()
        tdom = tdom.dump()



        dp_obj = IonObject(RT.DataProduct,
            name='ctd_parsed',
            description='ctd stream test',
            temporal_domain = tdom,
            spatial_domain = sdom)

        ctd_parsed_data_product = self.dataproductclient.create_data_product(dp_obj, ctd_stream_def_id)

        self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=ctd_parsed_data_product)

        # Retrieve the id of the OUTPUT stream from the out Data Product
        stream_ids, _ = self.rrclient.find_objects(ctd_parsed_data_product, PRED.hasStream, None, True)

        #-------------------------------
        # Create CTD Raw as the second data product
        #-------------------------------
        raw_stream_def_id = self.pubsubclient.create_stream_definition(name='SBE37_RAW', parameter_dictionary_id=pdict_id)

        dp_obj.name = 'ctd_raw'
        ctd_raw_data_product = self.dataproductclient.create_data_product(dp_obj, raw_stream_def_id)

        self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=ctd_raw_data_product)

        # Retrieve the id of the OUTPUT stream from the out Data Product
        stream_ids, _ = self.rrclient.find_objects(ctd_raw_data_product, PRED.hasStream, None, True)

        #-------------------------------
        # L0 Conductivity - Temperature - Pressure: Data Process Definition
        #-------------------------------
        dpd_obj = IonObject(RT.DataProcessDefinition,
                            name='ctd_L0_all',
                            description='transform ctd package into three separate L0 streams',
                            module='ion.processes.data.transforms.ctd.ctd_L0_all',
                            class_name='ctd_L0_all')
        ctd_L0_all_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
            
        #-------------------------------
        # L0 Conductivity - Temperature - Pressure: Output Data Products
        #-------------------------------

        outgoing_stream_l0_conductivity_id = self.pubsubclient.create_stream_definition(name='L0_Conductivity', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_conductivity_id, ctd_L0_all_dprocdef_id, binding='conductivity' )

        outgoing_stream_l0_pressure_id = self.pubsubclient.create_stream_definition(name='L0_Pressure', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_pressure_id, ctd_L0_all_dprocdef_id, binding='pressure' )

        outgoing_stream_l0_temperature_id = self.pubsubclient.create_stream_definition(name='L0_Temperature', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_temperature_id, ctd_L0_all_dprocdef_id, binding='temperature' )


        self.output_products={}

        ctd_l0_conductivity_output_dp_obj = IonObject(  RT.DataProduct,
                                                        name='L0_Conductivity',
                                                        description='transform output conductivity',
                                                        temporal_domain = tdom,
                                                        spatial_domain = sdom)


        ctd_l0_conductivity_output_dp_id = self.dataproductclient.create_data_product(ctd_l0_conductivity_output_dp_obj,
                                                                                outgoing_stream_l0_conductivity_id)
        self.output_products['conductivity'] = ctd_l0_conductivity_output_dp_id

        ctd_l0_pressure_output_dp_obj = IonObject(RT.DataProduct,
            name='L0_Pressure',
            description='transform output pressure',
            temporal_domain = tdom,
            spatial_domain = sdom)

        ctd_l0_pressure_output_dp_id = self.dataproductclient.create_data_product(ctd_l0_pressure_output_dp_obj,
                                                                                    outgoing_stream_l0_pressure_id)
        self.output_products['pressure'] = ctd_l0_pressure_output_dp_id

        ctd_l0_temperature_output_dp_obj = IonObject(RT.DataProduct,
            name='L0_Temperature',
            description='transform output temperature',
            temporal_domain = tdom,
            spatial_domain = sdom)


        ctd_l0_temperature_output_dp_id = self.dataproductclient.create_data_product(ctd_l0_temperature_output_dp_obj,
                                                                                    outgoing_stream_l0_temperature_id)
        self.output_products['temperature'] = ctd_l0_temperature_output_dp_id


        #-------------------------------
        # Create listener for data process events and verify that events are received.
        #-------------------------------

        # todo: add this validate for Req: L4-CI-SA-RQ-367  Data processing shall notify registered data product consumers about data processing workflow life cycle events
        #todo (contd) ... I believe the capability does not exist yet now. ANS And SA are not yet publishing any workflow life cycle events (Swarbhanu)
        
        #-------------------------------
        # L0 Conductivity - Temperature - Pressure: Create the data process
        #-------------------------------

        ctd_l0_all_data_process_id = self.dataprocessclient.create_data_process(ctd_L0_all_dprocdef_id, [ctd_parsed_data_product], self.output_products)
        data_process = self.rrclient.read(ctd_l0_all_data_process_id)
        process_id = data_process.process_id
        self.addCleanup(self.process_dispatcher.cancel_process, process_id)

        #-------------------------------
        # Wait until the process launched in the create_data_process() method is actually running, before proceeding further in this test
        #-------------------------------

        gate = ProcessStateGate(self.process_dispatcher.read_process, process_id, ProcessStateEnum.RUNNING)
        self.assertTrue(gate.await(30), "The data process (%s) did not spawn in 30 seconds" % process_id)

        #-------------------------------
        # Retrieve a list of all data process defintions in RR and validate that the DPD is listed
        #-------------------------------

        # todo: Req: L4-CI-SA-RQ-366  Data processing shall manage data topic definitions
        # todo: data topics are being handled by pub sub at the level of streams
        self.dataprocessclient.activate_data_process(ctd_l0_all_data_process_id)
        

        #todo: check that activate event is received L4-CI-SA-RQ-367
        #todo... (it looks like no event is being published when the data process is activated... so below, we just check for now
        # todo... that the subscription is indeed activated) (Swarbhanu)


        # todo: monitor process to see if it is active (sa-rq-182)
        ctd_l0_all_data_process = self.rrclient.read(ctd_l0_all_data_process_id)
        input_subscription_id = ctd_l0_all_data_process.input_subscription_id
        subs = self.rrclient.read(input_subscription_id)
        self.assertTrue(subs.activated)

        # todo: This has not yet been completed by CEI, will prbly surface thru a DPMS call
        self.dataprocessclient.deactivate_data_process(ctd_l0_all_data_process_id)


        #-------------------------------
        # Retrieve the extended resources for data process definition and for data process
        #-------------------------------
        extended_process_definition = self.dataprocessclient.get_data_process_definition_extension(ctd_L0_all_dprocdef_id)
        self.assertEqual(1, len(extended_process_definition.data_processes))
        log.debug("test_createDataProcess: extended_process_definition  %s", str(extended_process_definition))

        extended_process = self.dataprocessclient.get_data_process_extension(ctd_l0_all_data_process_id)
        self.assertEqual(1, len(extended_process.input_data_products))
        log.debug("test_createDataProcess: extended_process  %s", str(extended_process))

        ################################ Test the removal of data processes ##################################

        #-------------------------------------------------------------------
        # Test the deleting of the data process
        #-------------------------------------------------------------------

        # Before deleting, get the input streams, output streams and the subscriptions so that they can be checked after deleting
#        dp_obj_1 = self.rrclient.read(ctd_l0_all_data_process_id)
#        input_subscription_id = dp_obj_1.input_subscription_id
#        out_prods, _ = self.rrclient.find_objects(subject=ctd_l0_all_data_process_id, predicate=PRED.hasOutputProduct, id_only=True)
#        in_prods, _ = self.rrclient.find_objects(ctd_l0_all_data_process_id, PRED.hasInputProduct, id_only=True)
#        in_streams = []
#        for in_prod in in_prods:
#            streams, _ = self.rrclient.find_objects(in_prod, PRED.hasStream, id_only=True)
#            in_streams.extend(streams)
#        out_streams = []
#        for out_prod in out_prods:
#            streams, _ = self.rrclient.find_objects(out_prod, PRED.hasStream, id_only=True)
#            out_streams.extend(streams)

        # Deleting the data process
        self.dataprocessclient.delete_data_process(ctd_l0_all_data_process_id)

        # Check that the data process got removed. Check the lcs state. It should be retired
        dp_obj = self.rrclient.read(ctd_l0_all_data_process_id)
        self.assertEquals(dp_obj.lcstate, LCS.RETIRED)

        # Check for process defs still attached to the data process
        dpd_assn_ids = self.rrclient.find_associations(subject=ctd_l0_all_data_process_id,  predicate=PRED.hasProcessDefinition, id_only=True)
        self.assertEquals(len(dpd_assn_ids), 0)

        # Check for output data product still attached to the data process
        out_products, assocs = self.rrclient.find_objects(subject=ctd_l0_all_data_process_id, predicate=PRED.hasOutputProduct, id_only=True)
        self.assertEquals(len(out_products), 0)
        self.assertEquals(len(assocs), 0)

        # Check for input data products still attached to the data process
        inprod_associations = self.rrclient.find_associations(ctd_l0_all_data_process_id, PRED.hasInputProduct)
        self.assertEquals(len(inprod_associations), 0)

        # Check for input data products still attached to the data process
        inprod_associations = self.rrclient.find_associations(ctd_l0_all_data_process_id, PRED.hasInputProduct)
        self.assertEquals(len(inprod_associations), 0)

        # Check of the data process has been deactivated
        self.assertIsNone(dp_obj.input_subscription_id)

        # Read the original subscription id of the data process and check that it has been deactivated
        with self.assertRaises(NotFound):
            self.pubsubclient.read_subscription(input_subscription_id)

        #-------------------------------------------------------------------
        # Delete the data process definition
        #-------------------------------------------------------------------

        # before deleting, get the process definition being associated to in order to be able to check later if the latter gets deleted as it should
        proc_def_ids, proc_def_asocs = self.rrclient.find_objects(ctd_l0_all_data_process_id, PRED.hasProcessDefinition)
        self.dataprocessclient.delete_data_process_definition(ctd_L0_all_dprocdef_id)

        # check that the data process definition has been retired
        dp_proc_def = self.rrclient.read(ctd_L0_all_dprocdef_id)
        self.assertEquals(dp_proc_def.lcstate, LCS.RETIRED)

        # Check for old associations of this data process definition
        proc_defs, proc_def_asocs = self.rrclient.find_objects(ctd_L0_all_dprocdef_id, PRED.hasProcessDefinition)
        self.assertEquals(len(proc_defs), 0)

        # find all associations where this is the subject
        _, obj_assns = self.rrclient.find_objects(subject= ctd_L0_all_dprocdef_id, id_only=True)
        self.assertEquals(len(obj_assns), 0)

        ################################ Test the removal of data processes ##################################
        # Try force delete... This should simply delete the associations and the data process object
        # from the resource registry

        #---------------------------------------------------------------------------------------------------------------
        # Force deleting a data process
        #---------------------------------------------------------------------------------------------------------------
        self.dataprocessclient.force_delete_data_process(ctd_l0_all_data_process_id)

        # find all associations where this is the subject
        _, obj_assns = self.rrclient.find_objects(subject=ctd_l0_all_data_process_id, id_only=True)

        # find all associations where this is the object
        _, sbj_assns = self.rrclient.find_subjects(object=ctd_l0_all_data_process_id, id_only=True)

        self.assertEquals(len(obj_assns), 0)
        self.assertEquals(len(sbj_assns), 0)
        
        with self.assertRaises(NotFound):
            self.rrclient.read(ctd_l0_all_data_process_id)

        #---------------------------------------------------------------------------------------------------------------
        # Force deleting a data process definition
        #---------------------------------------------------------------------------------------------------------------
        self.dataprocessclient.force_delete_data_process_definition(ctd_L0_all_dprocdef_id)

        # find all associations where this is the subject
        _, obj_assns = self.rrclient.find_objects(subject=ctd_l0_all_data_process_id, id_only=True)

        # find all associations where this is the object
        _, sbj_assns = self.rrclient.find_subjects(object=ctd_l0_all_data_process_id, id_only=True)

        self.assertEquals(len(obj_assns), 0)
        self.assertEquals(len(sbj_assns), 0)

        with self.assertRaises(NotFound):
            self.rrclient.read(ctd_l0_all_data_process_id)
class TestTransformWorker(IonIntegrationTestCase):
    def setUp(self):
        self._start_container()
        self.container.start_rel_from_url('res/deploy/r2deploy.yml')
        # Instantiate a process to represent the test
        process = TransformWorkerTestProcess()

        self.dataset_management_client = DatasetManagementServiceClient(
            node=self.container.node)
        self.pubsub_client = PubsubManagementServiceClient(
            node=self.container.node)
        self.dataproductclient = DataProductManagementServiceClient(
            node=self.container.node)
        self.dataprocessclient = DataProcessManagementServiceClient(
            node=self.container.node)
        self.processdispatchclient = ProcessDispatcherServiceClient(
            node=self.container.node)
        self.damsclient = DataAcquisitionManagementServiceClient(
            node=self.container.node)
        self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
        self.imsclient = InstrumentManagementServiceProcessClient(
            node=self.container.node, process=process)

        self.time_dom, self.spatial_dom = time_series_domain()

        self.ph = ParameterHelper(self.dataset_management_client,
                                  self.addCleanup)

        self.wait_time = CFG.get_safe('endpoint.receive.timeout', 10)

    def push_granule(self, data_product_id):
        '''
        Publishes and monitors that the granule arrived
        '''
        datasets, _ = self.rrclient.find_objects(data_product_id,
                                                 PRED.hasDataset,
                                                 id_only=True)
        dataset_monitor = DatasetMonitor(datasets[0])

        rdt = self.ph.rdt_for_data_product(data_product_id)
        self.ph.fill_parsed_rdt(rdt)
        self.ph.publish_rdt_to_data_product(data_product_id, rdt)

        assert dataset_monitor.wait()
        dataset_monitor.stop()

    @attr('LOCOINT')
    @unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),
                     'Skip test while in CEI LAUNCH mode')
    def test_transform_worker(self):

        # test that a data process (type: data-product-in / data-product-out) can be defined and launched.
        # verify that the output granule fields are correctly populated

        # test that the input and output data products are linked to facilitate provenance

        self.dp_list = []
        self.data_process_objs = []
        self._output_stream_ids = []
        self.granule_verified = Event()
        self.worker_assigned_event_verified = Event()
        self.dp_created_event_verified = Event()
        self.heartbeat_event_verified = Event()

        self.parameter_dict_id = self.dataset_management_client.read_parameter_dictionary_by_name(
            name='ctd_parsed_param_dict', id_only=True)

        # create the StreamDefinition
        self.stream_def_id = self.pubsub_client.create_stream_definition(
            name='stream_def', parameter_dictionary_id=self.parameter_dict_id)
        self.addCleanup(self.pubsub_client.delete_stream_definition,
                        self.stream_def_id)

        # create the DataProduct that is the input to the data processes
        input_dp_obj = IonObject(RT.DataProduct,
                                 name='input_data_product',
                                 description='input test stream')
        self.input_dp_id = self.dataproductclient.create_data_product(
            data_product=input_dp_obj, stream_definition_id=self.stream_def_id)

        # retrieve the Stream for this data product
        stream_ids, assoc_ids = self.rrclient.find_objects(
            self.input_dp_id, PRED.hasStream, RT.Stream, True)
        self.stream_id = stream_ids[0]

        self.start_event_listener()

        # create the DPD, DataProcess and output DataProduct
        dataprocessdef_id, dataprocess_id, dataproduct_id = self.create_data_process(
        )
        self.dp_list.append(dataprocess_id)

        # validate the repository for data product algorithms persists the new resources  NEW SA-1
        # create_data_process call created one of each
        dpd_ids, _ = self.rrclient.find_resources(
            restype=OT.DataProcessDefinition, id_only=False)
        # there will be more than one becuase of the DPDs that reperesent the PFs in the data product above
        self.assertTrue(dpd_ids is not None)
        dp_ids, _ = self.rrclient.find_resources(restype=OT.DataProcess,
                                                 id_only=False)
        # only one DP becuase the PFs that are in the code dataproduct above are not activated yet.
        self.assertEquals(len(dp_ids), 1)

        # validate the name and version label  NEW SA - 2
        dataprocessdef_obj = self.dataprocessclient.read_data_process_definition(
            dataprocessdef_id)
        self.assertEqual(dataprocessdef_obj.version_label, '1.0a')
        self.assertEqual(dataprocessdef_obj.name, 'add_arrays')

        # validate that the DPD has an attachment  NEW SA - 21
        attachment_ids, assoc_ids = self.rrclient.find_objects(
            dataprocessdef_id, PRED.hasAttachment, RT.Attachment, True)
        self.assertEqual(len(attachment_ids), 1)
        attachment_obj = self.rrclient.read_attachment(attachment_ids[0])
        log.debug('attachment: %s', attachment_obj)

        # validate that the data process resource has input and output data products associated
        # L4-CI-SA-RQ-364  and NEW SA-3
        outproduct_ids, assoc_ids = self.rrclient.find_objects(
            dataprocess_id, PRED.hasOutputProduct, RT.DataProduct, True)
        self.assertEqual(len(outproduct_ids), 1)
        inproduct_ids, assoc_ids = self.rrclient.find_objects(
            dataprocess_id, PRED.hasInputProduct, RT.DataProduct, True)
        self.assertEqual(len(inproduct_ids), 1)

        # Test for provenance. Get Data product produced by the data processes
        output_data_product_id, _ = self.rrclient.find_objects(
            subject=dataprocess_id,
            object_type=RT.DataProduct,
            predicate=PRED.hasOutputProduct,
            id_only=True)

        output_data_product_provenance = self.dataproductclient.get_data_product_provenance(
            output_data_product_id[0])

        # Do a basic check to see if there were 3 entries in the provenance graph. Parent and Child and the
        # DataProcessDefinition creating the child from the parent.
        self.assertTrue(len(output_data_product_provenance) == 2)
        self.assertTrue(self.input_dp_id in output_data_product_provenance[
            output_data_product_id[0]]['parents'])
        self.assertTrue(output_data_product_provenance[
            output_data_product_id[0]]['parents'][self.input_dp_id]
                        ['data_process_definition_id'] == dataprocessdef_id)

        # NEW SA - 4 | Data processing shall include the appropriate data product algorithm name and version number in
        # the metadata of each output data product created by the data product algorithm.
        output_data_product_obj, _ = self.rrclient.find_objects(
            subject=dataprocess_id,
            object_type=RT.DataProduct,
            predicate=PRED.hasOutputProduct,
            id_only=False)
        self.assertTrue(output_data_product_obj[0].name != None)
        self.assertTrue(output_data_product_obj[0]._rev != None)

        # retrieve subscription from data process
        subscription_objs, _ = self.rrclient.find_objects(
            subject=dataprocess_id,
            predicate=PRED.hasSubscription,
            object_type=RT.Subscription,
            id_only=False)
        log.debug('test_transform_worker subscription_obj:  %s',
                  subscription_objs[0])

        # create a queue to catch the published granules
        self.subscription_id = self.pubsub_client.create_subscription(
            name='parsed_subscription',
            stream_ids=[self.stream_id],
            exchange_name=subscription_objs[0].exchange_name)
        self.addCleanup(self.pubsub_client.delete_subscription,
                        self.subscription_id)

        self.pubsub_client.activate_subscription(self.subscription_id)
        self.addCleanup(self.pubsub_client.deactivate_subscription,
                        self.subscription_id)

        stream_route = self.pubsub_client.read_stream_route(self.stream_id)
        self.publisher = StandaloneStreamPublisher(stream_id=self.stream_id,
                                                   stream_route=stream_route)

        for n in range(1, 101):
            rdt = RecordDictionaryTool(stream_definition_id=self.stream_def_id)
            rdt['time'] = [0]  # time should always come first
            rdt['conductivity'] = [1]
            rdt['pressure'] = [2]
            rdt['salinity'] = [8]

            self.publisher.publish(rdt.to_granule())

        # validate that the output granule is received and the updated value is correct
        self.assertTrue(self.granule_verified.wait(self.wait_time))

        # validate that the data process loaded into worker event is received    (L4-CI-SA-RQ-182)
        self.assertTrue(
            self.worker_assigned_event_verified.wait(self.wait_time))

        # validate that the data process create (with data product ids) event is received    (NEW SA -42)
        self.assertTrue(self.dp_created_event_verified.wait(self.wait_time))

        # validate that the data process heartbeat event is received (for every hundred granules processed) (L4-CI-SA-RQ-182)
        #this takes a while so set wait limit to large value
        self.assertTrue(self.heartbeat_event_verified.wait(200))

        # validate that the code from the transform function can be retrieve via inspect_data_process_definition
        src = self.dataprocessclient.inspect_data_process_definition(
            dataprocessdef_id)
        self.assertIn('def add_arrays(a, b)', src)

        # now delete the DPD and DP then verify that the resources are retired so that information required for provenance are still available
        self.dataprocessclient.delete_data_process(dataprocess_id)
        self.dataprocessclient.delete_data_process_definition(
            dataprocessdef_id)

        in_dp_objs, _ = self.rrclient.find_objects(
            subject=dataprocess_id,
            predicate=PRED.hasInputProduct,
            object_type=RT.DataProduct,
            id_only=True)
        self.assertTrue(in_dp_objs is not None)

        dpd_objs, _ = self.rrclient.find_subjects(
            subject_type=RT.DataProcessDefinition,
            predicate=PRED.hasDataProcess,
            object=dataprocess_id,
            id_only=True)
        self.assertTrue(dpd_objs is not None)

    @attr('LOCOINT')
    @unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),
                     'Skip test while in CEI LAUNCH mode')
    def test_transform_worker_with_instrumentdevice(self):

        # test that a data process (type: data-product-in / data-product-out) can be defined and launched.
        # verify that the output granule fields are correctly populated

        # test that the input and output data products are linked to facilitate provenance

        self.data_process_objs = []
        self._output_stream_ids = []
        self.event_verified = Event()

        # Create CTD Parsed as the initial data product
        # create a stream definition for the data from the ctd simulator
        self.parameter_dict_id = self.dataset_management_client.read_parameter_dictionary_by_name(
            'ctd_parsed_param_dict', id_only=True)
        self.stream_def_id = self.pubsub_client.create_stream_definition(
            name='stream_def', parameter_dictionary_id=self.parameter_dict_id)

        # create the DataProduct that is the input to the data processes
        input_dp_obj = IonObject(RT.DataProduct,
                                 name='input_data_product',
                                 description='input test stream')
        self.input_dp_id = self.dataproductclient.create_data_product(
            data_product=input_dp_obj, stream_definition_id=self.stream_def_id)

        # retrieve the Stream for this data product
        stream_ids, assoc_ids = self.rrclient.find_objects(
            self.input_dp_id, PRED.hasStream, RT.Stream, True)
        self.stream_id = stream_ids[0]

        log.debug('new ctd_parsed_data_product_id = %s' % self.input_dp_id)

        # only ever need one device for testing purposes.
        instDevice_obj, _ = self.rrclient.find_resources(
            restype=RT.InstrumentDevice, name='test_ctd_device')
        if instDevice_obj:
            instDevice_id = instDevice_obj[0]._id
        else:
            instDevice_obj = IonObject(RT.InstrumentDevice,
                                       name='test_ctd_device',
                                       description="test_ctd_device",
                                       serial_number="12345")
            instDevice_id = self.imsclient.create_instrument_device(
                instrument_device=instDevice_obj)

        self.damsclient.assign_data_product(input_resource_id=instDevice_id,
                                            data_product_id=self.input_dp_id)

        # create the DPD, DataProcess and output DataProduct
        dataprocessdef_id, dataprocess_id, dataproduct_id = self.create_data_process(
        )

        self.addCleanup(self.dataprocessclient.delete_data_process,
                        dataprocess_id)
        self.addCleanup(self.dataprocessclient.delete_data_process_definition,
                        dataprocessdef_id)

        # Test for provenance. Get Data product produced by the data processes
        output_data_product_id, _ = self.rrclient.find_objects(
            subject=dataprocess_id,
            object_type=RT.DataProduct,
            predicate=PRED.hasOutputProduct,
            id_only=True)

        output_data_product_provenance = self.dataproductclient.get_data_product_provenance(
            output_data_product_id[0])

        # Do a basic check to see if there were 3 entries in the provenance graph. Parent and Child and the
        # DataProcessDefinition creating the child from the parent.
        self.assertTrue(len(output_data_product_provenance) == 3)
        self.assertTrue(self.input_dp_id in output_data_product_provenance[
            output_data_product_id[0]]['parents'])
        self.assertTrue(instDevice_id in output_data_product_provenance[
            self.input_dp_id]['parents'])
        self.assertTrue(output_data_product_provenance[instDevice_id]['type']
                        == 'InstrumentDevice')

    @attr('LOCOINT')
    @unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),
                     'Skip test while in CEI LAUNCH mode')
    def test_transform_worker_with_platformdevice(self):

        # test that a data process (type: data-product-in / data-product-out) can be defined and launched.
        # verify that the output granule fields are correctly populated

        # test that the input and output data products are linked to facilitate provenance

        self.data_process_objs = []
        self._output_stream_ids = []
        self.event_verified = Event()

        # Create CTD Parsed as the initial data product
        # create a stream definition for the data from the ctd simulator
        self.parameter_dict_id = self.dataset_management_client.read_parameter_dictionary_by_name(
            'ctd_parsed_param_dict', id_only=True)
        self.stream_def_id = self.pubsub_client.create_stream_definition(
            name='stream_def', parameter_dictionary_id=self.parameter_dict_id)

        # create the DataProduct that is the input to the data processes
        input_dp_obj = IonObject(RT.DataProduct,
                                 name='input_data_product',
                                 description='input test stream')
        self.input_dp_id = self.dataproductclient.create_data_product(
            data_product=input_dp_obj, stream_definition_id=self.stream_def_id)

        # retrieve the Stream for this data product
        stream_ids, assoc_ids = self.rrclient.find_objects(
            self.input_dp_id, PRED.hasStream, RT.Stream, True)
        self.stream_id = stream_ids[0]

        log.debug('new ctd_parsed_data_product_id = %s' % self.input_dp_id)

        # only ever need one device for testing purposes.
        platform_device_obj, _ = self.rrclient.find_resources(
            restype=RT.PlatformDevice, name='TestPlatform')
        if platform_device_obj:
            platform_device_id = platform_device_obj[0]._id
        else:
            platform_device_obj = IonObject(RT.PlatformDevice,
                                            name='TestPlatform',
                                            description="TestPlatform",
                                            serial_number="12345")
            platform_device_id = self.imsclient.create_platform_device(
                platform_device=platform_device_obj)

        self.damsclient.assign_data_product(
            input_resource_id=platform_device_id,
            data_product_id=self.input_dp_id)

        # create the DPD, DataProcess and output DataProduct
        dataprocessdef_id, dataprocess_id, dataproduct_id = self.create_data_process(
        )
        self.addCleanup(self.dataprocessclient.delete_data_process,
                        dataprocess_id)
        self.addCleanup(self.dataprocessclient.delete_data_process_definition,
                        dataprocessdef_id)

        # Test for provenance. Get Data product produced by the data processes
        output_data_product_id, _ = self.rrclient.find_objects(
            subject=dataprocess_id,
            object_type=RT.DataProduct,
            predicate=PRED.hasOutputProduct,
            id_only=True)

        output_data_product_provenance = self.dataproductclient.get_data_product_provenance(
            output_data_product_id[0])

        # Do a basic check to see if there were 3 entries in the provenance graph. Parent and Child and the
        # DataProcessDefinition creating the child from the parent.
        self.assertTrue(len(output_data_product_provenance) == 3)
        self.assertTrue(self.input_dp_id in output_data_product_provenance[
            output_data_product_id[0]]['parents'])
        self.assertTrue(platform_device_id in output_data_product_provenance[
            self.input_dp_id]['parents'])
        self.assertTrue(output_data_product_provenance[platform_device_id]
                        ['type'] == 'PlatformDevice')

    @attr('LOCOINT')
    @unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),
                     'Skip test while in CEI LAUNCH mode')
    def test_event_transform_worker(self):
        self.data_process_objs = []
        self._output_stream_ids = []
        self.event_verified = Event()

        # test that a data process (type: data-product-in / event-out) can be defined and launched.
        # verify that event fields are correctly populated

        self.parameter_dict_id = self.dataset_management_client.read_parameter_dictionary_by_name(
            name='ctd_parsed_param_dict', id_only=True)

        # create the StreamDefinition
        self.stream_def_id = self.pubsub_client.create_stream_definition(
            name='stream_def', parameter_dictionary_id=self.parameter_dict_id)
        self.addCleanup(self.pubsub_client.delete_stream_definition,
                        self.stream_def_id)

        # create the DataProduct
        input_dp_obj = IonObject(RT.DataProduct,
                                 name='input_data_product',
                                 description='input test stream')
        self.input_dp_id = self.dataproductclient.create_data_product(
            data_product=input_dp_obj, stream_definition_id=self.stream_def_id)

        # retrieve the Stream for this data product
        stream_ids, assoc_ids = self.rrclient.find_objects(
            self.input_dp_id, PRED.hasStream, RT.Stream, True)
        self.stream_id = stream_ids[0]

        # create the DPD and two DPs
        self.event_data_process_id = self.create_event_data_processes()

        # retrieve subscription from data process
        subscription_objs, _ = self.rrclient.find_objects(
            subject=self.event_data_process_id,
            predicate=PRED.hasSubscription,
            object_type=RT.Subscription,
            id_only=False)
        log.debug('test_event_transform_worker subscription_obj:  %s',
                  subscription_objs[0])

        # create a queue to catch the published granules
        self.subscription_id = self.pubsub_client.create_subscription(
            name='parsed_subscription',
            stream_ids=[self.stream_id],
            exchange_name=subscription_objs[0].exchange_name)
        self.addCleanup(self.pubsub_client.delete_subscription,
                        self.subscription_id)

        self.pubsub_client.activate_subscription(self.subscription_id)
        self.addCleanup(self.pubsub_client.deactivate_subscription,
                        self.subscription_id)

        stream_route = self.pubsub_client.read_stream_route(self.stream_id)
        self.publisher = StandaloneStreamPublisher(stream_id=self.stream_id,
                                                   stream_route=stream_route)

        self.start_event_transform_listener()

        self.data_modified = Event()

        rdt = RecordDictionaryTool(stream_definition_id=self.stream_def_id)
        rdt['time'] = [0]  # time should always come first
        rdt['conductivity'] = [1]
        rdt['pressure'] = [2]
        rdt['salinity'] = [8]

        self.publisher.publish(rdt.to_granule())

        self.assertTrue(self.event_verified.wait(self.wait_time))

    @attr('LOCOINT')
    @unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),
                     'Skip test while in CEI LAUNCH mode')
    def test_bad_argument_map(self):
        self._output_stream_ids = []

        # test that a data process (type: data-product-in / data-product-out) parameter mapping it validated during
        # data process creation and that the correct exception is raised for both input and output.

        self.parameter_dict_id = self.dataset_management_client.read_parameter_dictionary_by_name(
            name='ctd_parsed_param_dict', id_only=True)

        # create the StreamDefinition
        self.stream_def_id = self.pubsub_client.create_stream_definition(
            name='stream_def', parameter_dictionary_id=self.parameter_dict_id)
        self.addCleanup(self.pubsub_client.delete_stream_definition,
                        self.stream_def_id)

        # create the DataProduct that is the input to the data processes
        input_dp_obj = IonObject(RT.DataProduct,
                                 name='input_data_product',
                                 description='input test stream')
        self.input_dp_id = self.dataproductclient.create_data_product(
            data_product=input_dp_obj, stream_definition_id=self.stream_def_id)

        # two data processes using one transform and one DPD

        dp1_func_output_dp_id = self.create_output_data_product()

        # Set up DPD and DP #2 - array add function
        tf_obj = IonObject(
            RT.TransformFunction,
            name='add_array_func',
            description='adds values in an array',
            function='add_arrays',
            module="ion_example.add_arrays",
            arguments=['arr1', 'arr2'],
            function_type=TransformFunctionType.TRANSFORM,
            uri=
            'http://sddevrepo.oceanobservatories.org/releases/ion_example-0.1-py2.7.egg'
        )
        add_array_func_id, rev = self.rrclient.create(tf_obj)

        dpd_obj = IonObject(
            RT.DataProcessDefinition,
            name='add_arrays',
            description='adds the values of two arrays',
            data_process_type=DataProcessTypeEnum.TRANSFORM_PROCESS)
        add_array_dpd_id = self.dataprocessclient.create_data_process_definition(
            data_process_definition=dpd_obj, function_id=add_array_func_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(
            self.stream_def_id, add_array_dpd_id, binding='add_array_func')

        # create the data process with invalid argument map
        argument_map = {"arr1": "foo", "arr2": "bar"}
        output_param = "salinity"
        with self.assertRaises(BadRequest) as cm:
            dp1_data_process_id = self.dataprocessclient.create_data_process(
                data_process_definition_id=add_array_dpd_id,
                inputs=[self.input_dp_id],
                outputs=[dp1_func_output_dp_id],
                argument_map=argument_map,
                out_param_name=output_param)

        ex = cm.exception
        log.debug(' exception raised: %s', cm)
        self.assertEqual(
            ex.message,
            "Input data product does not contain the parameters defined in argument map"
        )

        # create the data process with invalid output parameter name
        argument_map = {"arr1": "conductivity", "arr2": "pressure"}
        output_param = "foo"
        with self.assertRaises(BadRequest) as cm:
            dp1_data_process_id = self.dataprocessclient.create_data_process(
                data_process_definition_id=add_array_dpd_id,
                inputs=[self.input_dp_id],
                outputs=[dp1_func_output_dp_id],
                argument_map=argument_map,
                out_param_name=output_param)

        ex = cm.exception
        log.debug(' exception raised: %s', cm)
        self.assertEqual(
            ex.message,
            "Output data product does not contain the output parameter name provided"
        )

    def create_event_data_processes(self):

        # two data processes using one transform and one DPD
        argument_map = {"a": "salinity"}

        # set up DPD and DP #2 - array add function
        tf_obj = IonObject(
            RT.TransformFunction,
            name='validate_salinity_array',
            description='validate_salinity_array',
            function='validate_salinity_array',
            module="ion.processes.data.transforms.test.test_transform_worker",
            arguments=['a'],
            function_type=TransformFunctionType.TRANSFORM)

        add_array_func_id, rev = self.rrclient.create(tf_obj)

        dpd_obj = IonObject(
            RT.DataProcessDefinition,
            name='validate_salinity_array',
            description='validate_salinity_array',
            data_process_type=DataProcessTypeEnum.TRANSFORM_PROCESS,
        )
        add_array_dpd_id = self.dataprocessclient.create_data_process_definition(
            data_process_definition=dpd_obj, function_id=add_array_func_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(
            self.stream_def_id,
            add_array_dpd_id,
            binding='validate_salinity_array')

        # create the data process
        dp1_data_process_id = self.dataprocessclient.create_data_process(
            data_process_definition_id=add_array_dpd_id,
            inputs=[self.input_dp_id],
            outputs=None,
            argument_map=argument_map)
        self.damsclient.register_process(dp1_data_process_id)
        self.addCleanup(self.dataprocessclient.delete_data_process,
                        dp1_data_process_id)

        return dp1_data_process_id

    def create_data_process(self):

        # two data processes using one transform and one DPD

        dp1_func_output_dp_id = self.create_output_data_product()
        argument_map = {"arr1": "conductivity", "arr2": "pressure"}
        output_param = "salinity"

        # set up DPD and DP #2 - array add function
        tf_obj = IonObject(
            RT.TransformFunction,
            name='add_array_func',
            description='adds values in an array',
            function='add_arrays',
            module="ion_example.add_arrays",
            arguments=['arr1', 'arr2'],
            function_type=TransformFunctionType.TRANSFORM,
            uri=
            'http://sddevrepo.oceanobservatories.org/releases/ion_example-0.1-py2.7.egg'
        )
        add_array_func_id, rev = self.rrclient.create(tf_obj)

        dpd_obj = IonObject(
            RT.DataProcessDefinition,
            name='add_arrays',
            description='adds the values of two arrays',
            data_process_type=DataProcessTypeEnum.TRANSFORM_PROCESS,
            version_label='1.0a')
        add_array_dpd_id = self.dataprocessclient.create_data_process_definition(
            data_process_definition=dpd_obj, function_id=add_array_func_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(
            self.stream_def_id, add_array_dpd_id, binding='add_array_func')

        # create the data process
        dp1_data_process_id = self.dataprocessclient.create_data_process(
            data_process_definition_id=add_array_dpd_id,
            inputs=[self.input_dp_id],
            outputs=[dp1_func_output_dp_id],
            argument_map=argument_map,
            out_param_name=output_param)
        self.damsclient.register_process(dp1_data_process_id)
        #self.addCleanup(self.dataprocessclient.delete_data_process, dp1_data_process_id)

        # add an attachment object to this DPD to test new SA-21
        import msgpack
        attachment_content = 'foo bar'
        attachment_obj = IonObject(RT.Attachment,
                                   name='test_attachment',
                                   attachment_type=AttachmentType.ASCII,
                                   content_type='text/plain',
                                   content=msgpack.packb(attachment_content))
        att_id = self.rrclient.create_attachment(add_array_dpd_id,
                                                 attachment_obj)
        self.addCleanup(self.rrclient.delete_attachment, att_id)

        return add_array_dpd_id, dp1_data_process_id, dp1_func_output_dp_id

    def create_output_data_product(self):
        dp1_outgoing_stream_id = self.pubsub_client.create_stream_definition(
            name='dp1_stream', parameter_dictionary_id=self.parameter_dict_id)

        dp1_output_dp_obj = IonObject(RT.DataProduct,
                                      name='data_process1_data_product',
                                      description='output of add array func')

        dp1_func_output_dp_id = self.dataproductclient.create_data_product(
            dp1_output_dp_obj, dp1_outgoing_stream_id)
        self.addCleanup(self.dataproductclient.delete_data_product,
                        dp1_func_output_dp_id)
        # retrieve the id of the OUTPUT stream from the out Data Product and add to granule logger
        stream_ids, _ = self.rrclient.find_objects(dp1_func_output_dp_id,
                                                   PRED.hasStream, None, True)
        self._output_stream_ids.append(stream_ids[0])

        subscription_id = self.pubsub_client.create_subscription(
            'validator', data_product_ids=[dp1_func_output_dp_id])
        self.addCleanup(self.pubsub_client.delete_subscription,
                        subscription_id)

        def on_granule(msg, route, stream_id):
            log.debug('recv_packet stream_id: %s route: %s   msg: %s',
                      stream_id, route, msg)
            self.validate_output_granule(msg, route, stream_id)
            self.granule_verified.set()

        validator = StandaloneStreamSubscriber('validator',
                                               callback=on_granule)
        validator.start()
        self.addCleanup(validator.stop)

        self.pubsub_client.activate_subscription(subscription_id)
        self.addCleanup(self.pubsub_client.deactivate_subscription,
                        subscription_id)

        return dp1_func_output_dp_id

    def validate_event(self, *args, **kwargs):
        """
        This method is a callback function for receiving DataProcessStatusEvent.
        """
        data_process_event = args[0]
        log.debug("DataProcessStatusEvent: %s",
                  str(data_process_event.__dict__))

        # if data process already created, check origin
        if self.dp_list:
            self.assertIn(data_process_event.origin, self.dp_list)

            # if this is a heartbeat event then 100 granules have been processed
            if 'data process status update.' in data_process_event.description:
                self.heartbeat_event_verified.set()

        else:
            # else check that this is the assign event

            if 'Data process assigned to transform worker' in data_process_event.description:
                self.worker_assigned_event_verified.set()
            elif 'Data process created for data product' in data_process_event.description:
                self.dp_created_event_verified.set()

    def validate_output_granule(self, msg, route, stream_id):
        self.assertIn(stream_id, self._output_stream_ids)

        rdt = RecordDictionaryTool.load_from_granule(msg)
        log.debug('validate_output_granule  rdt: %s', rdt)
        sal_val = rdt['salinity']
        np.testing.assert_array_equal(sal_val, np.array([3]))

    def start_event_listener(self):

        es = EventSubscriber(event_type=OT.DataProcessStatusEvent,
                             callback=self.validate_event)
        es.start()

        self.addCleanup(es.stop)

    def validate_transform_event(self, *args, **kwargs):
        """
        This method is a callback function for receiving DataProcessStatusEvent.
        """
        status_alert_event = args[0]

        np.testing.assert_array_equal(status_alert_event.origin,
                                      self.stream_id)
        np.testing.assert_array_equal(status_alert_event.values,
                                      np.array([self.event_data_process_id]))
        log.debug("DeviceStatusAlertEvent: %s",
                  str(status_alert_event.__dict__))
        self.event_verified.set()

    def start_event_transform_listener(self):
        es = EventSubscriber(event_type=OT.DeviceStatusAlertEvent,
                             callback=self.validate_transform_event)
        es.start()

        self.addCleanup(es.stop)

    def test_download(self):
        egg_url = 'http://sddevrepo.oceanobservatories.org/releases/ion_example-0.1-py2.7.egg'
        egg_path = TransformWorker.download_egg(egg_url)

        import pkg_resources
        pkg_resources.working_set.add_entry(egg_path)

        from ion_example.add_arrays import add_arrays

        a = add_arrays(1, 2)
        self.assertEquals(a, 3)
Example #4
0
class TestDeployment(IonIntegrationTestCase):

    def setUp(self):
        # Start container
        self._start_container()
        self.container.start_rel_from_url('res/deploy/r2deploy.yml')

        self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
        self.omsclient = ObservatoryManagementServiceClient(node=self.container.node)
        self.imsclient = InstrumentManagementServiceClient(node=self.container.node)
        self.dmpsclient = DataProductManagementServiceClient(node=self.container.node)
        self.damsclient = DataAcquisitionManagementServiceClient(node=self.container.node)
        self.psmsclient = PubsubManagementServiceClient(node=self.container.node)
        self.dataset_management = DatasetManagementServiceClient()

        self.c = DotDict()
        self.c.resource_registry = self.rrclient
        self.RR2 = EnhancedResourceRegistryClient(self.rrclient)

        self.dsmsclient = DataProcessManagementServiceClient(node=self.container.node)


        # deactivate all data processes when tests are complete
        def killAllDataProcesses():
            for proc_id in self.rrclient.find_resources(RT.DataProcess, None, None, True)[0]:
                self.dsmsclient.deactivate_data_process(proc_id)
                self.dsmsclient.delete_data_process(proc_id)
        self.addCleanup(killAllDataProcesses)


    #@unittest.skip("targeting")
    def test_create_deployment(self):

        #create a deployment with metadata and an initial site and device
        platform_site__obj = IonObject(RT.PlatformSite,
                                        name='PlatformSite1',
                                        description='test platform site')
        site_id = self.omsclient.create_platform_site(platform_site__obj)

        platform_device__obj = IonObject(RT.PlatformDevice,
                                        name='PlatformDevice1',
                                        description='test platform device')
        device_id = self.imsclient.create_platform_device(platform_device__obj)

        start = IonTime(datetime.datetime(2013,1,1))
        end = IonTime(datetime.datetime(2014,1,1))
        temporal_bounds = IonObject(OT.TemporalBounds, name='planned', start_datetime=start.to_string(), end_datetime=end.to_string())
        deployment_obj = IonObject(RT.Deployment,
                                        name='TestDeployment',
                                        description='some new deployment',
                                        constraint_list=[temporal_bounds])
        deployment_id = self.omsclient.create_deployment(deployment_obj)
        self.omsclient.deploy_platform_site(site_id, deployment_id)
        self.imsclient.deploy_platform_device(device_id, deployment_id)

        log.debug("test_create_deployment: created deployment id: %s ", str(deployment_id) )

        #retrieve the deployment objects and check that the assoc site and device are attached
        read_deployment_obj = self.omsclient.read_deployment(deployment_id)
        log.debug("test_create_deployment: created deployment obj: %s ", str(read_deployment_obj) )

        site_ids, _ = self.rrclient.find_subjects(RT.PlatformSite, PRED.hasDeployment, deployment_id, True)
        self.assertEqual(len(site_ids), 1)

        device_ids, _ = self.rrclient.find_subjects(RT.PlatformDevice, PRED.hasDeployment, deployment_id, True)
        self.assertEqual(len(device_ids), 1)

        #delete the deployment
        self.RR2.pluck(deployment_id)
        self.omsclient.force_delete_deployment(deployment_id)
        # now try to get the deleted dp object
        try:
            self.omsclient.read_deployment(deployment_id)
        except NotFound:
            pass
        else:
            self.fail("deleted deployment was found during read")

    #@unittest.skip("targeting")
    def test_prepare_deployment_support(self):

        deploy_sup = self.omsclient.prepare_deployment_support()
        self.assertTrue(deploy_sup)
        self.assertEquals(deploy_sup.associations['DeploymentHasInstrumentDevice'].type_, "AssocDeploymentInstDevice")
        self.assertEquals(deploy_sup.associations['DeploymentHasInstrumentDevice'].resources, [])
        self.assertEquals(deploy_sup.associations['DeploymentHasInstrumentDevice'].associated_resources, [])
        self.assertEquals(deploy_sup.associations['DeploymentHasPlatformDevice'].type_, "AssocDeploymentPlatDevice")
        self.assertEquals(deploy_sup.associations['DeploymentHasPlatformDevice'].resources, [])
        self.assertEquals(deploy_sup.associations['DeploymentHasPlatformDevice'].associated_resources, [])
        self.assertEquals(deploy_sup.associations['DeploymentHasInstrumentSite'].type_, "AssocDeploymentInstSite")
        self.assertEquals(deploy_sup.associations['DeploymentHasInstrumentSite'].resources, [])
        self.assertEquals(deploy_sup.associations['DeploymentHasInstrumentSite'].associated_resources, [])
        self.assertEquals(deploy_sup.associations['DeploymentHasPlatformSite'].type_, "AssocDeploymentPlatSite")
        self.assertEquals(deploy_sup.associations['DeploymentHasPlatformSite'].resources, [])
        self.assertEquals(deploy_sup.associations['DeploymentHasPlatformSite'].associated_resources, [])

        #create a deployment with metadata and an initial site and device
        platform_site__obj = IonObject(RT.PlatformSite,
                                        name='PlatformSite1',
                                        description='test platform site')
        site_id = self.omsclient.create_platform_site(platform_site__obj)

        platform_device__obj = IonObject(RT.PlatformDevice,
                                        name='PlatformDevice1',
                                        description='test platform device')
        device_id = self.imsclient.create_platform_device(platform_device__obj)

        start = IonTime(datetime.datetime(2013,1,1))
        end = IonTime(datetime.datetime(2014,1,1))
        temporal_bounds = IonObject(OT.TemporalBounds, name='planned', start_datetime=start.to_string(), end_datetime=end.to_string())
        deployment_obj = IonObject(RT.Deployment,
                                        name='TestDeployment',
                                        description='some new deployment',
                                        constraint_list=[temporal_bounds])
        deployment_id = self.omsclient.create_deployment(deployment_obj)

        deploy_sup = self.omsclient.prepare_deployment_support(deployment_id)

        self.assertEquals(deploy_sup.associations['DeploymentHasInstrumentDevice'].resources, [])
        self.assertEquals(deploy_sup.associations['DeploymentHasInstrumentDevice'].associated_resources, [])
        self.assertEquals(len(deploy_sup.associations['DeploymentHasPlatformDevice'].resources), 1)
        self.assertEquals(deploy_sup.associations['DeploymentHasPlatformDevice'].associated_resources, [])
        self.assertEquals(deploy_sup.associations['DeploymentHasInstrumentSite'].resources, [])
        self.assertEquals(deploy_sup.associations['DeploymentHasInstrumentSite'].associated_resources, [])
        self.assertEquals(len(deploy_sup.associations['DeploymentHasPlatformSite'].resources), 1)
        self.assertEquals(deploy_sup.associations['DeploymentHasPlatformSite'].associated_resources, [])

        self.omsclient.assign_site_to_deployment(site_id, deployment_id)
        self.omsclient.assign_device_to_deployment(device_id, deployment_id)

        deploy_sup = self.omsclient.prepare_deployment_support(deployment_id)

        self.assertEquals(deploy_sup.associations['DeploymentHasInstrumentDevice'].resources, [])
        self.assertEquals(deploy_sup.associations['DeploymentHasInstrumentDevice'].associated_resources, [])
        self.assertEquals(len(deploy_sup.associations['DeploymentHasPlatformDevice'].resources), 1)
        self.assertEquals(len(deploy_sup.associations['DeploymentHasPlatformDevice'].associated_resources), 1)
        self.assertEquals(deploy_sup.associations['DeploymentHasInstrumentSite'].resources, [])
        self.assertEquals(deploy_sup.associations['DeploymentHasInstrumentSite'].associated_resources, [])
        self.assertEquals(len(deploy_sup.associations['DeploymentHasPlatformSite'].resources), 1)
        self.assertEquals(len(deploy_sup.associations['DeploymentHasPlatformSite'].associated_resources), 1)

        #delete the deployment
        self.RR2.pluck(deployment_id)
        self.omsclient.force_delete_deployment(deployment_id)
        # now try to get the deleted dp object
        try:
            self.omsclient.read_deployment(deployment_id)
        except NotFound:
            pass
        else:
            self.fail("deleted deployment was found during read")


    #@unittest.skip("targeting")
    def base_activate_deployment(self):

        #-------------------------------------------------------------------------------------
        # Create platform site, platform device, platform model
        #-------------------------------------------------------------------------------------

        platform_site__obj = IonObject(RT.PlatformSite,
                                        name='PlatformSite1',
                                        description='test platform site')
        platform_site_id = self.omsclient.create_platform_site(platform_site__obj)

        platform_device_obj = IonObject(RT.PlatformDevice,
                                        name='PlatformDevice1',
                                        description='test platform device')
        platform_device_id = self.imsclient.create_platform_device(platform_device_obj)

        platform_model__obj = IonObject(RT.PlatformModel,
                                        name='PlatformModel1',
                                        description='test platform model')
        platform_model_id = self.imsclient.create_platform_model(platform_model__obj)



        #-------------------------------------------------------------------------------------
        # Create instrument site
        #-------------------------------------------------------------------------------------

        instrument_site_obj = IonObject(RT.InstrumentSite,
                                        name='InstrumentSite1',
                                        description='test instrument site')
        instrument_site_id = self.omsclient.create_instrument_site(instrument_site_obj, platform_site_id)

        pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
        ctd_stream_def_id = self.psmsclient.create_stream_definition(name='SBE37_CDM', parameter_dictionary_id=pdict_id)


        #----------------------------------------------------------------------------------------------------
        # Create an instrument device
        #----------------------------------------------------------------------------------------------------

        instrument_device_obj = IonObject(RT.InstrumentDevice,
                                        name='InstrumentDevice1',
                                        description='test instrument device')
        instrument_device_id = self.imsclient.create_instrument_device(instrument_device_obj)
        self.rrclient.create_association(platform_device_id, PRED.hasDevice, instrument_device_id)



        #----------------------------------------------------------------------------------------------------
        # Create an instrument model
        #----------------------------------------------------------------------------------------------------

        instrument_model_obj = IonObject(RT.InstrumentModel,
                                        name='InstrumentModel1',
                                        description='test instrument model')
        instrument_model_id = self.imsclient.create_instrument_model(instrument_model_obj)


        #----------------------------------------------------------------------------------------------------
        # Create a deployment object
        #----------------------------------------------------------------------------------------------------

        start = IonTime(datetime.datetime(2013,1,1))
        end = IonTime(datetime.datetime(2014,1,1))
        temporal_bounds = IonObject(OT.TemporalBounds, name='planned', start_datetime=start.to_string(), end_datetime=end.to_string())
        deployment_obj = IonObject(RT.Deployment,
                                   name='TestDeployment',
                                   description='some new deployment',
                                   context=IonObject(OT.CabledNodeDeploymentContext),
                                   constraint_list=[temporal_bounds])
        deployment_id = self.omsclient.create_deployment(deployment_obj)

        log.debug("test_create_deployment: created deployment id: %s ", str(deployment_id) )


        ret = DotDict(instrument_site_id=instrument_site_id,
                      instrument_device_id=instrument_device_id,
                      instrument_model_id=instrument_model_id,
                      platform_site_id=platform_site_id,
                      platform_device_id=platform_device_id,
                      platform_model_id=platform_model_id,
                      deployment_id=deployment_id)


        return ret

    #@unittest.skip("targeting")
    def test_activate_deployment_normal(self):

        res = self.base_activate_deployment()

        log.debug("assigning platform and instrument models")
        self.imsclient.assign_platform_model_to_platform_device(res.platform_model_id, res.platform_device_id)
        self.imsclient.assign_instrument_model_to_instrument_device(res.instrument_model_id, res.instrument_device_id)
        self.omsclient.assign_platform_model_to_platform_site(res.platform_model_id, res.platform_site_id)
        self.omsclient.assign_instrument_model_to_instrument_site(res.instrument_model_id, res.instrument_site_id)

        log.debug("adding instrument site and device to deployment")
        self.omsclient.deploy_instrument_site(res.instrument_site_id, res.deployment_id)
        self.imsclient.deploy_instrument_device(res.instrument_device_id, res.deployment_id)

        log.debug("adding platform site and device to deployment")
        self.omsclient.deploy_platform_site(res.platform_site_id, res.deployment_id)
        self.imsclient.deploy_platform_device(res.platform_device_id, res.deployment_id)

        log.debug("activating deployment, expecting success")
        self.omsclient.activate_deployment(res.deployment_id)

        log.debug("deactivatin deployment, expecting success")
        self.omsclient.deactivate_deployment(res.deployment_id)

    #@unittest.skip("targeting")
    def test_activate_deployment_nomodels(self):

        res = self.base_activate_deployment()

        self.omsclient.deploy_instrument_site(res.instrument_site_id, res.deployment_id)
        self.imsclient.deploy_instrument_device(res.instrument_device_id, res.deployment_id)

        log.debug("activating deployment without site+device models, expecting fail")
        self.assert_deploy_fail(res.deployment_id, NotFound, "Expected 1")

        log.debug("assigning instrument site model")
        self.omsclient.assign_instrument_model_to_instrument_site(res.instrument_model_id, res.instrument_site_id)

        log.debug("activating deployment without device models, expecting fail")
        self.assert_deploy_fail(res.deployment_id, NotFound, "Expected 1")

    #@unittest.skip("targeting")
    def test_activate_deployment_nosite(self):

        res = self.base_activate_deployment()

        log.debug("assigning instrument models")
        self.imsclient.assign_instrument_model_to_instrument_device(res.instrument_model_id, res.instrument_device_id)
        self.omsclient.assign_instrument_model_to_instrument_site(res.instrument_model_id, res.instrument_site_id)

        log.debug("deploying instrument device only")
        self.imsclient.deploy_instrument_device(res.instrument_device_id, res.deployment_id)

        log.debug("activating deployment without instrument site, expecting fail")
        self.assert_deploy_fail(res.deployment_id, BadRequest, "Devices in this deployment outnumber sites")

    #@unittest.skip("targeting")
    def test_activate_deployment_nodevice(self):

        res = self.base_activate_deployment()

        log.debug("assigning platform and instrument models")
        self.imsclient.assign_instrument_model_to_instrument_device(res.instrument_model_id, res.instrument_device_id)
        self.omsclient.assign_instrument_model_to_instrument_site(res.instrument_model_id, res.instrument_site_id)

        log.debug("deploying instrument site only")
        self.omsclient.deploy_instrument_site(res.instrument_site_id, res.deployment_id)

        log.debug("activating deployment without device, expecting fail")
        self.assert_deploy_fail(res.deployment_id, BadRequest, "No devices were found in the deployment")


    def test_activate_deployment_asymmetric_children(self):
        """
        P0
        |  \
        P1  P2
        |
        I1

        Complex deployment using CSP

        P1, P2, and P3 share the same platform model.  The CSP solver should be able to work this out
        based on relationships to parents

        """

        log.debug("create models")
        imodel_id = self.RR2.create(any_old(RT.InstrumentModel))
        pmodel_id = self.RR2.create(any_old(RT.PlatformModel))

        log.debug("create devices")
        idevice_id = self.RR2.create(any_old(RT.InstrumentDevice))
        pdevice_id = [self.RR2.create(any_old(RT.PlatformDevice)) for _ in range(3)]

        log.debug("create sites")
        isite_id = self.RR2.create(any_old(RT.InstrumentSite))
        psite_id = [self.RR2.create(any_old(RT.PlatformSite)) for _ in range(3)]

        log.debug("assign models")
        self.RR2.assign_instrument_model_to_instrument_device_with_has_model(imodel_id, idevice_id)
        self.RR2.assign_instrument_model_to_instrument_site_with_has_model(imodel_id, isite_id)
        for x in range(3):
            self.RR2.assign_platform_model_to_platform_device_with_has_model(pmodel_id, pdevice_id[x])
            self.RR2.assign_platform_model_to_platform_site_with_has_model(pmodel_id, psite_id[x])

        log.debug("assign hierarchy")
        self.RR2.assign_instrument_device_to_platform_device_with_has_device(idevice_id, pdevice_id[1])
        self.RR2.assign_instrument_site_to_platform_site_with_has_site(isite_id, psite_id[1])
        for x in range(1,3):
            self.RR2.assign_platform_device_to_platform_device_with_has_device(pdevice_id[x], pdevice_id[0])
            self.RR2.assign_platform_site_to_platform_site_with_has_site(psite_id[x], psite_id[0])

        log.debug("create and activate deployment")
        dep_id = self.RR2.create(any_old(RT.Deployment, {"context": IonObject(OT.RemotePlatformDeploymentContext)}))
        self.RR2.assign_deployment_to_platform_device_with_has_deployment(dep_id, pdevice_id[0])
        self.RR2.assign_deployment_to_platform_site_with_has_deployment(dep_id, psite_id[0])
        self.omsclient.activate_deployment(dep_id)

        log.debug("verifying deployment")
        self.assertEqual(idevice_id, self.RR2.find_instrument_device_id_of_instrument_site_using_has_device(isite_id),
                         "The instrument device was not assigned to the instrument site")
        for x in range(3):
            self.assertEqual(pdevice_id[x], self.RR2.find_platform_device_id_of_platform_site_using_has_device(psite_id[x]),
                             "Platform device %d was not assigned to platform site %d" % (x, x))

    def assert_deploy_fail(self, deployment_id, err_type=BadRequest, fail_message="did not specify fail_message"):
        with self.assertRaises(err_type) as cm:
            self.omsclient.activate_deployment(deployment_id)
        self.assertIn(fail_message, cm.exception.message)

    def test_3x3_matchups_remoteplatform(self):
        self.base_3x3_matchups(IonObject(OT.RemotePlatformDeploymentContext))

    def test_3x3_matchups_cabledinstrument(self):
        self.base_3x3_matchups(IonObject(OT.CabledInstrumentDeploymentContext))

    def test_3x3_matchups_cablednode(self):
        self.base_3x3_matchups(IonObject(OT.CabledNodeDeploymentContext))

    def base_3x3_matchups(self, deployment_context):
        """
        This will be 1 root platform, 3 sub platforms (2 of one model, 1 of another) and 3 sub instruments each (2-to-1)
        """
        deployment_context_type = type(deployment_context).__name__

        instrument_model_id  = [self.RR2.create(any_old(RT.InstrumentModel)) for _ in range(6)]
        platform_model_id    = [self.RR2.create(any_old(RT.PlatformModel)) for _ in range(3)]

        instrument_device_id = [self.RR2.create(any_old(RT.InstrumentDevice)) for _ in range(9)]
        platform_device_id   = [self.RR2.create(any_old(RT.PlatformDevice)) for _ in range(4)]

        instrument_site_id   = [self.RR2.create(any_old(RT.InstrumentSite,
                                                {"planned_uplink_port":
                                                     IonObject(OT.PlatformPort,
                                                               reference_designator="instport_%d" % (i+1))}))
                                for i in range(9)]

        platform_site_id     = [self.RR2.create(any_old(RT.PlatformSite,
                                                {"planned_uplink_port":
                                                    IonObject(OT.PlatformPort,
                                                              reference_designator="platport_%d" % (i+1))}))
                                for i in range(4)]



        def instrument_model_at(platform_idx, instrument_idx):
            m = platform_idx * 2
            if instrument_idx > 0:
                m += 1
            return m

        def platform_model_at(platform_idx):
            if platform_idx > 0:
                return 1
            return 0

        def instrument_at(platform_idx, instrument_idx):
            return platform_idx * 3 + instrument_idx

        # set up the structure
        for p in range(3):
            m = platform_model_at(p)
            self.RR2.assign_platform_model_to_platform_site_with_has_model(platform_model_id[m], platform_site_id[p])
            self.RR2.assign_platform_model_to_platform_device_with_has_model(platform_model_id[m], platform_device_id[p])
            self.RR2.assign_platform_device_to_platform_device_with_has_device(platform_device_id[p], platform_device_id[3])
            self.RR2.assign_platform_site_to_platform_site_with_has_site(platform_site_id[p], platform_site_id[3])

            for i in range(3):
                m = instrument_model_at(p, i)
                idx = instrument_at(p, i)
                self.RR2.assign_instrument_model_to_instrument_site_with_has_model(instrument_model_id[m], instrument_site_id[idx])
                self.RR2.assign_instrument_model_to_instrument_device_with_has_model(instrument_model_id[m], instrument_device_id[idx])
                self.RR2.assign_instrument_device_to_platform_device_with_has_device(instrument_device_id[idx], platform_device_id[p])
                self.RR2.assign_instrument_site_to_platform_site_with_has_site(instrument_site_id[idx], platform_site_id[p])

        # top level models
        self.RR2.assign_platform_model_to_platform_device_with_has_model(platform_model_id[2], platform_device_id[3])
        self.RR2.assign_platform_model_to_platform_site_with_has_model(platform_model_id[2], platform_site_id[3])



        # verify structure
        for p in range(3):
            parent_id = self.RR2.find_platform_device_id_by_platform_device_using_has_device(platform_device_id[p])
            self.assertEqual(platform_device_id[3], parent_id)

            parent_id = self.RR2.find_platform_site_id_by_platform_site_using_has_site(platform_site_id[p])
            self.assertEqual(platform_site_id[3], parent_id)

        for i in range(len(platform_site_id)):
            self.assertEqual(self.RR2.find_platform_model_of_platform_device_using_has_model(platform_device_id[i]),
                             self.RR2.find_platform_model_of_platform_site_using_has_model(platform_site_id[i]))

        for i in range(len(instrument_site_id)):
            self.assertEqual(self.RR2.find_instrument_model_of_instrument_device_using_has_model(instrument_device_id[i]),
                             self.RR2.find_instrument_model_of_instrument_site_using_has_model(instrument_site_id[i]))


        port_assignments = {}
        for p in range(3):
            port_assignments[platform_device_id[p]] = "platport_%d" % (p+1)
            for i in range(3):
                idx = instrument_at(p, i)
                port_assignments[instrument_device_id[idx]] = "instport_%d" % (idx+1)

        deployment_id = self.RR2.create(any_old(RT.Deployment,
                {"context": deployment_context,
                 "port_assignments": port_assignments}))


        log.debug("assigning device/site to %s deployment", deployment_context_type)
        if OT.RemotePlatformDeploymentContext == deployment_context_type:
            self.RR2.assign_deployment_to_platform_device_with_has_deployment(deployment_id, platform_device_id[3])
            self.RR2.assign_deployment_to_platform_site_with_has_deployment(deployment_id, platform_site_id[3])

        elif OT.CabledInstrumentDeploymentContext == deployment_context_type:
            self.RR2.assign_deployment_to_instrument_device_with_has_deployment(deployment_id, instrument_device_id[1])
            self.RR2.assign_deployment_to_instrument_site_with_has_deployment(deployment_id, instrument_site_id[1])

        elif OT.CabledNodeDeploymentContext == deployment_context_type:
            self.RR2.assign_deployment_to_platform_device_with_has_deployment(deployment_id, platform_device_id[1])
            self.RR2.assign_deployment_to_platform_site_with_has_deployment(deployment_id, platform_site_id[1])

        log.debug("activation of %s deployment", deployment_context_type)
        self.omsclient.activate_deployment(deployment_id)

        log.debug("validation of %s deployment", deployment_context_type)
        if OT.RemotePlatformDeploymentContext == deployment_context_type:
            # verify proper associations
            for i, d in enumerate(platform_device_id):
                self.assertEqual(d, self.RR2.find_platform_device_id_of_platform_site_using_has_device(platform_site_id[i]))

            for i, d in enumerate(instrument_device_id):
                self.assertEqual(d, self.RR2.find_instrument_device_id_of_instrument_site_using_has_device(instrument_site_id[i]))

        elif OT.CabledInstrumentDeploymentContext == deployment_context_type:
            self.assertEqual(instrument_device_id[1],
                             self.RR2.find_instrument_device_id_of_instrument_site_using_has_device(instrument_site_id[1]))

        elif OT.CabledNodeDeploymentContext == deployment_context_type:
            expected_platforms = [1]
            expected_instruments = [3, 4, 5]

            # verify proper associations
            for i, d in enumerate(platform_device_id):
                self.assertEqual(i in expected_platforms,
                                 d in self.RR2.find_platform_device_ids_of_platform_site_using_has_device(platform_site_id[i]))

            for i, d in enumerate(instrument_device_id):
                self.assertEqual(i in expected_instruments,
                                 d in self.RR2.find_instrument_device_ids_of_instrument_site_using_has_device(instrument_site_id[i]))
class TestDeployment(IonIntegrationTestCase):

    def setUp(self):
        # Start container
        self._start_container()
        self.container.start_rel_from_url('res/deploy/r2deploy.yml')

        self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
        self.omsclient = ObservatoryManagementServiceClient(node=self.container.node)
        self.imsclient = InstrumentManagementServiceClient(node=self.container.node)
        self.dmpsclient = DataProductManagementServiceClient(node=self.container.node)
        self.damsclient = DataAcquisitionManagementServiceClient(node=self.container.node)
        self.psmsclient = PubsubManagementServiceClient(node=self.container.node)
        self.dataset_management = DatasetManagementServiceClient()

        self.c = DotDict()
        self.c.resource_registry = self.rrclient
        self.RR2 = EnhancedResourceRegistryClient(self.rrclient)

        self.dsmsclient = DataProcessManagementServiceClient(node=self.container.node)


        # deactivate all data processes when tests are complete
        def killAllDataProcesses():
            for proc_id in self.rrclient.find_resources(RT.DataProcess, None, None, True)[0]:
                self.dsmsclient.deactivate_data_process(proc_id)
                self.dsmsclient.delete_data_process(proc_id)
        self.addCleanup(killAllDataProcesses)


    #@unittest.skip("targeting")
    def test_create_deployment(self):

        #create a deployment with metadata and an initial site and device
        platform_site__obj = IonObject(RT.PlatformSite,
                                        name='PlatformSite1',
                                        description='test platform site')
        site_id = self.omsclient.create_platform_site(platform_site__obj)

        platform_device__obj = IonObject(RT.PlatformDevice,
                                        name='PlatformDevice1',
                                        description='test platform device')
        device_id = self.imsclient.create_platform_device(platform_device__obj)

        start = IonTime(datetime.datetime(2013,1,1))
        end = IonTime(datetime.datetime(2014,1,1))
        temporal_bounds = IonObject(OT.TemporalBounds, name='planned', start_datetime=start.to_string(), end_datetime=end.to_string())
        deployment_obj = IonObject(RT.Deployment,
                                        name='TestDeployment',
                                        description='some new deployment',
                                        constraint_list=[temporal_bounds])
        deployment_id = self.omsclient.create_deployment(deployment_obj)
        self.omsclient.deploy_platform_site(site_id, deployment_id)
        self.imsclient.deploy_platform_device(device_id, deployment_id)

        log.debug("test_create_deployment: created deployment id: %s ", str(deployment_id) )

        #retrieve the deployment objects and check that the assoc site and device are attached
        read_deployment_obj = self.omsclient.read_deployment(deployment_id)
        log.debug("test_create_deployment: created deployment obj: %s ", str(read_deployment_obj) )

        site_ids, _ = self.rrclient.find_subjects(RT.PlatformSite, PRED.hasDeployment, deployment_id, True)
        self.assertEqual(len(site_ids), 1)

        device_ids, _ = self.rrclient.find_subjects(RT.PlatformDevice, PRED.hasDeployment, deployment_id, True)
        self.assertEqual(len(device_ids), 1)

        #delete the deployment
        self.RR2.pluck(deployment_id)
        self.omsclient.force_delete_deployment(deployment_id)
        # now try to get the deleted dp object
        try:
            self.omsclient.read_deployment(deployment_id)
        except NotFound:
            pass
        else:
            self.fail("deleted deployment was found during read")




    #@unittest.skip("targeting")
    def base_activate_deployment(self):

        #-------------------------------------------------------------------------------------
        # Create platform site, platform device, platform model
        #-------------------------------------------------------------------------------------

        platform_site__obj = IonObject(RT.PlatformSite,
                                        name='PlatformSite1',
                                        description='test platform site')
        platform_site_id = self.omsclient.create_platform_site(platform_site__obj)

        platform_device_obj = IonObject(RT.PlatformDevice,
                                        name='PlatformDevice1',
                                        description='test platform device')
        platform_device_id = self.imsclient.create_platform_device(platform_device_obj)

        platform_model__obj = IonObject(RT.PlatformModel,
                                        name='PlatformModel1',
                                        description='test platform model')
        platform_model_id = self.imsclient.create_platform_model(platform_model__obj)



        #-------------------------------------------------------------------------------------
        # Create instrument site
        #-------------------------------------------------------------------------------------

        instrument_site_obj = IonObject(RT.InstrumentSite,
                                        name='InstrumentSite1',
                                        description='test instrument site')
        instrument_site_id = self.omsclient.create_instrument_site(instrument_site_obj, platform_site_id)

        pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
        ctd_stream_def_id = self.psmsclient.create_stream_definition(name='SBE37_CDM', parameter_dictionary_id=pdict_id)


        #----------------------------------------------------------------------------------------------------
        # Create an instrument device
        #----------------------------------------------------------------------------------------------------

        instrument_device_obj = IonObject(RT.InstrumentDevice,
                                        name='InstrumentDevice1',
                                        description='test instrument device')
        instrument_device_id = self.imsclient.create_instrument_device(instrument_device_obj)
        self.rrclient.create_association(platform_device_id, PRED.hasDevice, instrument_device_id)



        #----------------------------------------------------------------------------------------------------
        # Create an instrument model
        #----------------------------------------------------------------------------------------------------

        instrument_model_obj = IonObject(RT.InstrumentModel,
                                        name='InstrumentModel1',
                                        description='test instrument model')
        instrument_model_id = self.imsclient.create_instrument_model(instrument_model_obj)


        #----------------------------------------------------------------------------------------------------
        # Create a deployment object
        #----------------------------------------------------------------------------------------------------

        start = IonTime(datetime.datetime(2013,1,1))
        end = IonTime(datetime.datetime(2014,1,1))
        temporal_bounds = IonObject(OT.TemporalBounds, name='planned', start_datetime=start.to_string(), end_datetime=end.to_string())
        deployment_obj = IonObject(RT.Deployment,
                                   name='TestDeployment',
                                   description='some new deployment',
                                   context=IonObject(OT.CabledNodeDeploymentContext),
                                   constraint_list=[temporal_bounds])
        deployment_id = self.omsclient.create_deployment(deployment_obj)

        log.debug("test_create_deployment: created deployment id: %s ", str(deployment_id) )


        ret = DotDict(instrument_site_id=instrument_site_id,
                      instrument_device_id=instrument_device_id,
                      instrument_model_id=instrument_model_id,
                      platform_site_id=platform_site_id,
                      platform_device_id=platform_device_id,
                      platform_model_id=platform_model_id,
                      deployment_id=deployment_id)


        return ret

    #@unittest.skip("targeting")
    def test_activate_deployment_normal(self):

        res = self.base_activate_deployment()

        log.debug("assigning platform and instrument models")
        self.imsclient.assign_platform_model_to_platform_device(res.platform_model_id, res.platform_device_id)
        self.imsclient.assign_instrument_model_to_instrument_device(res.instrument_model_id, res.instrument_device_id)
        self.omsclient.assign_platform_model_to_platform_site(res.platform_model_id, res.platform_site_id)
        self.omsclient.assign_instrument_model_to_instrument_site(res.instrument_model_id, res.instrument_site_id)

        log.debug("adding instrument site and device to deployment")
        self.omsclient.deploy_instrument_site(res.instrument_site_id, res.deployment_id)
        self.imsclient.deploy_instrument_device(res.instrument_device_id, res.deployment_id)

        log.debug("adding platform site and device to deployment")
        self.omsclient.deploy_platform_site(res.platform_site_id, res.deployment_id)
        self.imsclient.deploy_platform_device(res.platform_device_id, res.deployment_id)

        log.debug("activating deployment, expecting success")
        self.omsclient.activate_deployment(res.deployment_id)

        log.debug("deactivatin deployment, expecting success")
        self.omsclient.deactivate_deployment(res.deployment_id)

    #@unittest.skip("targeting")
    def test_activate_deployment_nomodels(self):

        res = self.base_activate_deployment()

        self.omsclient.deploy_instrument_site(res.instrument_site_id, res.deployment_id)
        self.imsclient.deploy_instrument_device(res.instrument_device_id, res.deployment_id)

        log.debug("activating deployment without site+device models, expecting fail")
        self.assert_deploy_fail(res.deployment_id, NotFound, "Expected 1")

        log.debug("assigning instrument site model")
        self.omsclient.assign_instrument_model_to_instrument_site(res.instrument_model_id, res.instrument_site_id)

        log.debug("activating deployment without device models, expecting fail")
        self.assert_deploy_fail(res.deployment_id, NotFound, "Expected 1")

    #@unittest.skip("targeting")
    def test_activate_deployment_nosite(self):

        res = self.base_activate_deployment()

        log.debug("assigning instrument models")
        self.imsclient.assign_instrument_model_to_instrument_device(res.instrument_model_id, res.instrument_device_id)
        self.omsclient.assign_instrument_model_to_instrument_site(res.instrument_model_id, res.instrument_site_id)

        log.debug("deploying instrument device only")
        self.imsclient.deploy_instrument_device(res.instrument_device_id, res.deployment_id)

        log.debug("activating deployment without instrument site, expecting fail")
        self.assert_deploy_fail(res.deployment_id, BadRequest, "Devices in this deployment outnumber sites")

    #@unittest.skip("targeting")
    def test_activate_deployment_nodevice(self):

        res = self.base_activate_deployment()

        log.debug("assigning platform and instrument models")
        self.imsclient.assign_instrument_model_to_instrument_device(res.instrument_model_id, res.instrument_device_id)
        self.omsclient.assign_instrument_model_to_instrument_site(res.instrument_model_id, res.instrument_site_id)

        log.debug("deploying instrument site only")
        self.omsclient.deploy_instrument_site(res.instrument_site_id, res.deployment_id)

        log.debug("activating deployment without device, expecting fail")
        self.assert_deploy_fail(res.deployment_id, BadRequest, "No devices were found in the deployment")


    def test_activate_deployment_asymmetric_children(self):
        """
        P0
        |  \
        P1  P2
        |
        I1

        Complex deployment using CSP

        P1, P2, and P3 share the same platform model.  The CSP solver should be able to work this out
        based on relationships to parents

        """

        log.debug("create models")
        imodel_id = self.RR2.create(any_old(RT.InstrumentModel))
        pmodel_id = self.RR2.create(any_old(RT.PlatformModel))

        log.debug("create devices")
        idevice_id = self.RR2.create(any_old(RT.InstrumentDevice))
        pdevice_id = [self.RR2.create(any_old(RT.PlatformDevice)) for _ in range(3)]

        log.debug("create sites")
        isite_id = self.RR2.create(any_old(RT.InstrumentSite))
        psite_id = [self.RR2.create(any_old(RT.PlatformSite)) for _ in range(3)]

        log.debug("assign models")
        self.RR2.assign_instrument_model_to_instrument_device_with_has_model(imodel_id, idevice_id)
        self.RR2.assign_instrument_model_to_instrument_site_with_has_model(imodel_id, isite_id)
        for x in range(3):
            self.RR2.assign_platform_model_to_platform_device_with_has_model(pmodel_id, pdevice_id[x])
            self.RR2.assign_platform_model_to_platform_site_with_has_model(pmodel_id, psite_id[x])

        log.debug("assign hierarchy")
        self.RR2.assign_instrument_device_to_platform_device_with_has_device(idevice_id, pdevice_id[1])
        self.RR2.assign_instrument_site_to_platform_site_with_has_site(isite_id, psite_id[1])
        for x in range(1,3):
            self.RR2.assign_platform_device_to_platform_device_with_has_device(pdevice_id[x], pdevice_id[0])
            self.RR2.assign_platform_site_to_platform_site_with_has_site(psite_id[x], psite_id[0])

        log.debug("create and activate deployment")
        dep_id = self.RR2.create(any_old(RT.Deployment, {"context": IonObject(OT.RemotePlatformDeploymentContext)}))
        self.RR2.assign_deployment_to_platform_device_with_has_deployment(dep_id, pdevice_id[0])
        self.RR2.assign_deployment_to_platform_site_with_has_deployment(dep_id, psite_id[0])
        self.omsclient.activate_deployment(dep_id)

        log.debug("verifying deployment")
        self.assertEqual(idevice_id, self.RR2.find_instrument_device_id_of_instrument_site_using_has_device(isite_id),
                         "The instrument device was not assigned to the instrument site")
        for x in range(3):
            self.assertEqual(pdevice_id[x], self.RR2.find_platform_device_id_of_platform_site_using_has_device(psite_id[x]),
                             "Platform device %d was not assigned to platform site %d" % (x, x))

    def assert_deploy_fail(self, deployment_id, err_type=BadRequest, fail_message="did not specify fail_message"):
        with self.assertRaises(err_type) as cm:
            self.omsclient.activate_deployment(deployment_id)
        self.assertIn(fail_message, cm.exception.message)

    def test_3x3_matchups_remoteplatform(self):
        self.base_3x3_matchups(IonObject(OT.RemotePlatformDeploymentContext))

    def test_3x3_matchups_cabledinstrument(self):
        self.base_3x3_matchups(IonObject(OT.CabledInstrumentDeploymentContext))

    def test_3x3_matchups_cablednode(self):
        self.base_3x3_matchups(IonObject(OT.CabledNodeDeploymentContext))

    def base_3x3_matchups(self, deployment_context):
        """
        This will be 1 root platform, 3 sub platforms (2 of one model, 1 of another) and 3 sub instruments each (2-to-1)
        """
        deployment_context_type = type(deployment_context).__name__

        instrument_model_id  = [self.RR2.create(any_old(RT.InstrumentModel)) for _ in range(6)]
        platform_model_id    = [self.RR2.create(any_old(RT.PlatformModel)) for _ in range(3)]

        instrument_device_id = [self.RR2.create(any_old(RT.InstrumentDevice)) for _ in range(9)]
        platform_device_id   = [self.RR2.create(any_old(RT.PlatformDevice)) for _ in range(4)]

        instrument_site_id   = [self.RR2.create(any_old(RT.InstrumentSite,
                                                {"planned_uplink_port":
                                                     IonObject(OT.PlatformPort,
                                                               reference_designator="instport_%d" % (i+1))}))
                                for i in range(9)]

        platform_site_id     = [self.RR2.create(any_old(RT.PlatformSite,
                                                {"planned_uplink_port":
                                                    IonObject(OT.PlatformPort,
                                                              reference_designator="platport_%d" % (i+1))}))
                                for i in range(4)]



        def instrument_model_at(platform_idx, instrument_idx):
            m = platform_idx * 2
            if instrument_idx > 0:
                m += 1
            return m

        def platform_model_at(platform_idx):
            if platform_idx > 0:
                return 1
            return 0

        def instrument_at(platform_idx, instrument_idx):
            return platform_idx * 3 + instrument_idx

        # set up the structure
        for p in range(3):
            m = platform_model_at(p)
            self.RR2.assign_platform_model_to_platform_site_with_has_model(platform_model_id[m], platform_site_id[p])
            self.RR2.assign_platform_model_to_platform_device_with_has_model(platform_model_id[m], platform_device_id[p])
            self.RR2.assign_platform_device_to_platform_device_with_has_device(platform_device_id[p], platform_device_id[3])
            self.RR2.assign_platform_site_to_platform_site_with_has_site(platform_site_id[p], platform_site_id[3])

            for i in range(3):
                m = instrument_model_at(p, i)
                idx = instrument_at(p, i)
                self.RR2.assign_instrument_model_to_instrument_site_with_has_model(instrument_model_id[m], instrument_site_id[idx])
                self.RR2.assign_instrument_model_to_instrument_device_with_has_model(instrument_model_id[m], instrument_device_id[idx])
                self.RR2.assign_instrument_device_to_platform_device_with_has_device(instrument_device_id[idx], platform_device_id[p])
                self.RR2.assign_instrument_site_to_platform_site_with_has_site(instrument_site_id[idx], platform_site_id[p])

        # top level models
        self.RR2.assign_platform_model_to_platform_device_with_has_model(platform_model_id[2], platform_device_id[3])
        self.RR2.assign_platform_model_to_platform_site_with_has_model(platform_model_id[2], platform_site_id[3])



        # verify structure
        for p in range(3):
            parent_id = self.RR2.find_platform_device_id_by_platform_device_using_has_device(platform_device_id[p])
            self.assertEqual(platform_device_id[3], parent_id)

            parent_id = self.RR2.find_platform_site_id_by_platform_site_using_has_site(platform_site_id[p])
            self.assertEqual(platform_site_id[3], parent_id)

        for i in range(len(platform_site_id)):
            self.assertEqual(self.RR2.find_platform_model_of_platform_device_using_has_model(platform_device_id[i]),
                             self.RR2.find_platform_model_of_platform_site_using_has_model(platform_site_id[i]))

        for i in range(len(instrument_site_id)):
            self.assertEqual(self.RR2.find_instrument_model_of_instrument_device_using_has_model(instrument_device_id[i]),
                             self.RR2.find_instrument_model_of_instrument_site_using_has_model(instrument_site_id[i]))


        port_assignments = {}
        for p in range(3):
            port_assignments[platform_device_id[p]] = "platport_%d" % (p+1)
            for i in range(3):
                idx = instrument_at(p, i)
                port_assignments[instrument_device_id[idx]] = "instport_%d" % (idx+1)

        deployment_id = self.RR2.create(any_old(RT.Deployment,
                {"context": deployment_context,
                 "port_assignments": port_assignments}))


        log.debug("assigning device/site to %s deployment", deployment_context_type)
        if OT.RemotePlatformDeploymentContext == deployment_context_type:
            self.RR2.assign_deployment_to_platform_device_with_has_deployment(deployment_id, platform_device_id[3])
            self.RR2.assign_deployment_to_platform_site_with_has_deployment(deployment_id, platform_site_id[3])

        elif OT.CabledInstrumentDeploymentContext == deployment_context_type:
            self.RR2.assign_deployment_to_instrument_device_with_has_deployment(deployment_id, instrument_device_id[1])
            self.RR2.assign_deployment_to_instrument_site_with_has_deployment(deployment_id, instrument_site_id[1])

        elif OT.CabledNodeDeploymentContext == deployment_context_type:
            self.RR2.assign_deployment_to_platform_device_with_has_deployment(deployment_id, platform_device_id[1])
            self.RR2.assign_deployment_to_platform_site_with_has_deployment(deployment_id, platform_site_id[1])

        log.debug("activation of %s deployment", deployment_context_type)
        self.omsclient.activate_deployment(deployment_id)

        log.debug("validation of %s deployment", deployment_context_type)
        if OT.RemotePlatformDeploymentContext == deployment_context_type:
            # verify proper associations
            for i, d in enumerate(platform_device_id):
                self.assertEqual(d, self.RR2.find_platform_device_id_of_platform_site_using_has_device(platform_site_id[i]))

            for i, d in enumerate(instrument_device_id):
                self.assertEqual(d, self.RR2.find_instrument_device_id_of_instrument_site_using_has_device(instrument_site_id[i]))

        elif OT.CabledInstrumentDeploymentContext == deployment_context_type:
            self.assertEqual(instrument_device_id[1],
                             self.RR2.find_instrument_device_id_of_instrument_site_using_has_device(instrument_site_id[1]))

        elif OT.CabledNodeDeploymentContext == deployment_context_type:
            expected_platforms = [1]
            expected_instruments = [3, 4, 5]

            # verify proper associations
            for i, d in enumerate(platform_device_id):
                self.assertEqual(i in expected_platforms,
                                 d in self.RR2.find_platform_device_ids_of_platform_site_using_has_device(platform_site_id[i]))

            for i, d in enumerate(instrument_device_id):
                self.assertEqual(i in expected_instruments,
                                 d in self.RR2.find_instrument_device_ids_of_instrument_site_using_has_device(instrument_site_id[i]))
class TestIntDataProcessManagementServiceMultiOut(IonIntegrationTestCase):

    def setUp(self):
        # Start container
        self._start_container()
        self.container.start_rel_from_url('res/deploy/r2deploy.yml')

        # Now create client to DataProductManagementService
        self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
        self.damsclient = DataAcquisitionManagementServiceClient(node=self.container.node)
        self.pubsubclient =  PubsubManagementServiceClient(node=self.container.node)
        self.ingestclient = IngestionManagementServiceClient(node=self.container.node)
        self.imsclient = InstrumentManagementServiceClient(node=self.container.node)
        self.dataproductclient = DataProductManagementServiceClient(node=self.container.node)
        self.dataprocessclient = DataProcessManagementServiceClient(node=self.container.node)
        self.datasetclient =  DatasetManagementServiceClient(node=self.container.node)
        self.dataset_management = self.datasetclient

    def test_createDataProcess(self):

        #---------------------------------------------------------------------------
        # Data Process Definition
        #---------------------------------------------------------------------------
        dpd_obj = IonObject(RT.DataProcessDefinition,
                            name='ctd_L0_all',
                            description='transform ctd package into three separate L0 streams',
                            module='ion.processes.data.transforms.ctd.ctd_L0_all',
                            class_name='ctd_L0_all')
        dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)

        # Make assertion on the newly registered data process definition
        data_process_definition = self.rrclient.read(dprocdef_id)
        self.assertEquals(data_process_definition.name, 'ctd_L0_all')
        self.assertEquals(data_process_definition.description, 'transform ctd package into three separate L0 streams')
        self.assertEquals(data_process_definition.module, 'ion.processes.data.transforms.ctd.ctd_L0_all')
        self.assertEquals(data_process_definition.class_name, 'ctd_L0_all')

        # Read the data process definition using data process management and make assertions
        dprocdef_obj = self.dataprocessclient.read_data_process_definition(dprocdef_id)
        self.assertEquals(dprocdef_obj.class_name,'ctd_L0_all')
        self.assertEquals(dprocdef_obj.module,'ion.processes.data.transforms.ctd.ctd_L0_all')

        #---------------------------------------------------------------------------
        # Create an input instrument
        #---------------------------------------------------------------------------

        instrument_obj = IonObject(RT.InstrumentDevice, name='Inst1',description='an instrument that is creating the data product')
        instrument_id, rev = self.rrclient.create(instrument_obj)

        # Register the instrument so that the data producer and stream object are created
        data_producer_id = self.damsclient.register_instrument(instrument_id)

        # create a stream definition for the data from the ctd simulator
        pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
        ctd_stream_def_id = self.pubsubclient.create_stream_definition(name='Simulated CTD data', parameter_dictionary_id=pdict_id)

        self.dataprocessclient.assign_input_stream_definition_to_data_process_definition(ctd_stream_def_id, dprocdef_id )

        # Assert that the link between the stream definition and the data process definition was done
        assocs = self.rrclient.find_associations(subject=dprocdef_id, predicate=PRED.hasInputStreamDefinition, object=ctd_stream_def_id, id_only=True)

        self.assertIsNotNone(assocs)

        #---------------------------------------------------------------------------
        # Input Data Product
        #---------------------------------------------------------------------------
        tdom, sdom = time_series_domain()
        sdom = sdom.dump()
        tdom = tdom.dump()


        input_dp_obj = IonObject(   RT.DataProduct,
                                    name='InputDataProduct',
                                    description='some new dp',
                                    temporal_domain = tdom,
                                    spatial_domain = sdom)

        input_dp_id = self.dataproductclient.create_data_product(data_product=input_dp_obj, stream_definition_id=ctd_stream_def_id, exchange_point='test')

        #Make assertions on the input data product created
        input_dp_obj = self.rrclient.read(input_dp_id)
        self.assertEquals(input_dp_obj.name, 'InputDataProduct')
        self.assertEquals(input_dp_obj.description, 'some new dp')

        self.damsclient.assign_data_product(instrument_id, input_dp_id)

        # Retrieve the stream via the DataProduct->Stream associations
        stream_ids, _ = self.rrclient.find_objects(input_dp_id, PRED.hasStream, None, True)

        self.in_stream_id = stream_ids[0]

        #---------------------------------------------------------------------------
        # Output Data Product
        #---------------------------------------------------------------------------

        outgoing_stream_conductivity_id = self.pubsubclient.create_stream_definition(name='conductivity', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_conductivity_id, dprocdef_id,binding='conductivity' )

        outgoing_stream_pressure_id = self.pubsubclient.create_stream_definition(name='pressure', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_pressure_id, dprocdef_id, binding='pressure' )

        outgoing_stream_temperature_id = self.pubsubclient.create_stream_definition(name='temperature', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_temperature_id, dprocdef_id, binding='temperature' )


        self.output_products={}

        output_dp_obj = IonObject(RT.DataProduct,
            name='conductivity',
            description='transform output conductivity',
            temporal_domain = tdom,
            spatial_domain = sdom)

        output_dp_id_1 = self.dataproductclient.create_data_product(output_dp_obj, outgoing_stream_conductivity_id)
        self.output_products['conductivity'] = output_dp_id_1

        output_dp_obj = IonObject(RT.DataProduct,
            name='pressure',
            description='transform output pressure',
            temporal_domain = tdom,
            spatial_domain = sdom)

        output_dp_id_2 = self.dataproductclient.create_data_product(output_dp_obj, outgoing_stream_pressure_id)
        self.output_products['pressure'] = output_dp_id_2

        output_dp_obj = IonObject(RT.DataProduct,
            name='temperature',
            description='transform output ',
            temporal_domain = tdom,
            spatial_domain = sdom)

        output_dp_id_3 = self.dataproductclient.create_data_product(output_dp_obj, outgoing_stream_temperature_id)
        self.output_products['temperature'] = output_dp_id_3


        #---------------------------------------------------------------------------
        # Create the data process
        #---------------------------------------------------------------------------
        def _create_data_process():
            dproc_id = self.dataprocessclient.create_data_process(dprocdef_id, [input_dp_id], self.output_products)
            return dproc_id

        dproc_id = _create_data_process()

        # Make assertions on the data process created
        data_process = self.dataprocessclient.read_data_process(dproc_id)

        # Assert that the data process has a process id attached
        self.assertIsNotNone(data_process.process_id)

        # Assert that the data process got the input data product's subscription id attached as its own input_susbcription_id attribute
        self.assertIsNotNone(data_process.input_subscription_id)

        output_data_product_ids = self.rrclient.find_objects(subject=dproc_id, predicate=PRED.hasOutputProduct, object_type=RT.DataProduct, id_only=True)

        self.assertEquals(Set(output_data_product_ids[0]), Set([output_dp_id_1,output_dp_id_2,output_dp_id_3]))


    @patch.dict(CFG, {'endpoint':{'receive':{'timeout': 60}}})
    def test_createDataProcessUsingSim(self):
        #-------------------------------
        # Create InstrumentModel
        #-------------------------------
        instModel_obj = IonObject(RT.InstrumentModel, name='SBE37IMModel', description="SBE37IMModel" )
        instModel_id = self.imsclient.create_instrument_model(instModel_obj)

        #-------------------------------
        # Create InstrumentAgent
        #-------------------------------
        instAgent_obj = IonObject(RT.InstrumentAgent, name='agent007', description="SBE37IMAgent", driver_module="mi.instrument.seabird.sbe37smb.ooicore.driver", driver_class="SBE37Driver" )
        instAgent_id = self.imsclient.create_instrument_agent(instAgent_obj)

        self.imsclient.assign_instrument_model_to_instrument_agent(instModel_id, instAgent_id)

        #-------------------------------
        # Create InstrumentDevice
        #-------------------------------
        instDevice_obj = IonObject(RT.InstrumentDevice, name='SBE37IMDevice', description="SBE37IMDevice", serial_number="12345" )
        instDevice_id = self.imsclient.create_instrument_device(instrument_device=instDevice_obj)
        self.imsclient.assign_instrument_model_to_instrument_device(instModel_id, instDevice_id)

        #-------------------------------
        # Create InstrumentAgentInstance to hold configuration information
        #-------------------------------


        port_agent_config = {
            'device_addr': 'sbe37-simulator.oceanobservatories.org',
            'device_port': 4001,
            'process_type': PortAgentProcessType.UNIX,
            'binary_path': "port_agent",
            'command_port': 4002,
            'data_port': 4003,
            'log_level': 5,
        }

        instAgentInstance_obj = IonObject(RT.InstrumentAgentInstance, name='SBE37IMAgentInstance', description="SBE37IMAgentInstance", svr_addr="localhost",
                                          comms_device_address=CFG.device.sbe37.host, comms_device_port=CFG.device.sbe37.port,
                                          port_agent_config = port_agent_config)
        instAgentInstance_id = self.imsclient.create_instrument_agent_instance(instAgentInstance_obj, instAgent_id, instDevice_id)


        #-------------------------------
        # Create CTD Parsed as the first data product
        #-------------------------------
        # create a stream definition for the data from the ctd simulator
        pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
        ctd_stream_def_id = self.pubsubclient.create_stream_definition(name='SBE32_CDM', parameter_dictionary_id=pdict_id)

        # Construct temporal and spatial Coordinate Reference System objects
        tdom, sdom = time_series_domain()

        sdom = sdom.dump()
        tdom = tdom.dump()



        dp_obj = IonObject(RT.DataProduct,
            name='ctd_parsed',
            description='ctd stream test',
            temporal_domain = tdom,
            spatial_domain = sdom)

        ctd_parsed_data_product = self.dataproductclient.create_data_product(dp_obj, ctd_stream_def_id)

        self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=ctd_parsed_data_product)

        # Retrieve the id of the OUTPUT stream from the out Data Product
        stream_ids, _ = self.rrclient.find_objects(ctd_parsed_data_product, PRED.hasStream, None, True)

        #-------------------------------
        # Create CTD Raw as the second data product
        #-------------------------------
        raw_stream_def_id = self.pubsubclient.create_stream_definition(name='SBE37_RAW', parameter_dictionary_id=pdict_id)

        dp_obj.name = 'ctd_raw'
        ctd_raw_data_product = self.dataproductclient.create_data_product(dp_obj, raw_stream_def_id)

        self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=ctd_raw_data_product)

        # Retrieve the id of the OUTPUT stream from the out Data Product
        stream_ids, _ = self.rrclient.find_objects(ctd_raw_data_product, PRED.hasStream, None, True)

        #-------------------------------
        # L0 Conductivity - Temperature - Pressure: Data Process Definition
        #-------------------------------
        dpd_obj = IonObject(RT.DataProcessDefinition,
                            name='ctd_L0_all',
                            description='transform ctd package into three separate L0 streams',
                            module='ion.processes.data.transforms.ctd.ctd_L0_all',
                            class_name='ctd_L0_all')
        ctd_L0_all_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
            
        #-------------------------------
        # L0 Conductivity - Temperature - Pressure: Output Data Products
        #-------------------------------

        outgoing_stream_l0_conductivity_id = self.pubsubclient.create_stream_definition(name='L0_Conductivity', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_conductivity_id, ctd_L0_all_dprocdef_id, binding='conductivity' )

        outgoing_stream_l0_pressure_id = self.pubsubclient.create_stream_definition(name='L0_Pressure', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_pressure_id, ctd_L0_all_dprocdef_id, binding='pressure' )

        outgoing_stream_l0_temperature_id = self.pubsubclient.create_stream_definition(name='L0_Temperature', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_temperature_id, ctd_L0_all_dprocdef_id, binding='temperature' )


        self.output_products={}

        ctd_l0_conductivity_output_dp_obj = IonObject(  RT.DataProduct,
                                                        name='L0_Conductivity',
                                                        description='transform output conductivity',
                                                        temporal_domain = tdom,
                                                        spatial_domain = sdom)


        ctd_l0_conductivity_output_dp_id = self.dataproductclient.create_data_product(ctd_l0_conductivity_output_dp_obj,
                                                                                outgoing_stream_l0_conductivity_id)
        self.output_products['conductivity'] = ctd_l0_conductivity_output_dp_id

        ctd_l0_pressure_output_dp_obj = IonObject(RT.DataProduct,
            name='L0_Pressure',
            description='transform output pressure',
            temporal_domain = tdom,
            spatial_domain = sdom)

        ctd_l0_pressure_output_dp_id = self.dataproductclient.create_data_product(ctd_l0_pressure_output_dp_obj,
                                                                                    outgoing_stream_l0_pressure_id)
        self.output_products['pressure'] = ctd_l0_pressure_output_dp_id

        ctd_l0_temperature_output_dp_obj = IonObject(RT.DataProduct,
            name='L0_Temperature',
            description='transform output temperature',
            temporal_domain = tdom,
            spatial_domain = sdom)


        ctd_l0_temperature_output_dp_id = self.dataproductclient.create_data_product(ctd_l0_temperature_output_dp_obj,
                                                                                    outgoing_stream_l0_temperature_id)
        self.output_products['temperature'] = ctd_l0_temperature_output_dp_id


        #-------------------------------
        # Create listener for data process events and verify that events are received.
        #-------------------------------

        # todo: add this validate for Req: L4-CI-SA-RQ-367  Data processing shall notify registered data product consumers about data processing workflow life cycle events
        #todo (contd) ... I believe the capability does not exist yet now. ANS And SA are not yet publishing any workflow life cycle events (Swarbhanu)
        
        #-------------------------------
        # L0 Conductivity - Temperature - Pressure: Create the data process
        #-------------------------------
        ctd_l0_all_data_process_id = self.dataprocessclient.create_data_process(ctd_L0_all_dprocdef_id, [ctd_parsed_data_product], self.output_products)

        #-------------------------------
        # Retrieve a list of all data process defintions in RR and validate that the DPD is listed
        #-------------------------------

        # todo: add this validate for Req: L4-CI-SA-RQ-366  Data processing shall manage data topic definitions
        # todo: This capability is not yet completed (Swarbhanu)
        self.dataprocessclient.activate_data_process(ctd_l0_all_data_process_id)
        

        #todo: check that activate event is received L4-CI-SA-RQ-367
        #todo... (it looks like no event is being published when the data process is activated... so below, we just check for now
        # todo... that the subscription is indeed activated) (Swarbhanu)


        # todo: monitor process to see if it is active (sa-rq-182)
        ctd_l0_all_data_process = self.rrclient.read(ctd_l0_all_data_process_id)
        input_subscription_id = ctd_l0_all_data_process.input_subscription_id
        subs = self.rrclient.read(input_subscription_id)
        self.assertTrue(subs.activated)

        # todo: This has not yet been completed by CEI, will prbly surface thru a DPMS call
        self.dataprocessclient.deactivate_data_process(ctd_l0_all_data_process_id)


        #-------------------------------
        # Retrieve the extended resources for data process definition and for data process
        #-------------------------------
        extended_process_definition = self.dataprocessclient.get_data_process_definition_extension(ctd_L0_all_dprocdef_id)
        self.assertEqual(1, len(extended_process_definition.data_processes))
        log.debug("test_createDataProcess: extended_process_definition  %s", str(extended_process_definition))

        extended_process = self.dataprocessclient.get_data_process_extension(ctd_l0_all_data_process_id)
        self.assertEqual(1, len(extended_process.input_data_products))
        log.debug("test_createDataProcess: extended_process  %s", str(extended_process))

        #-------------------------------
        # Cleanup
        #-------------------------------

        self.dataprocessclient.delete_data_process(ctd_l0_all_data_process_id)
        self.dataprocessclient.delete_data_process_definition(ctd_L0_all_dprocdef_id)

        self.dataprocessclient.force_delete_data_process(ctd_l0_all_data_process_id)
        self.dataprocessclient.force_delete_data_process_definition(ctd_L0_all_dprocdef_id)
class TestIMSDeployAsPrimaryDevice(IonIntegrationTestCase):
    def setUp(self):
        # Start container
        self._start_container()

        #self.container.start_rel_from_url('res/deploy/r2deploy.yml')
        self.container.start_rel_from_url('res/deploy/r2deploy.yml')

        print 'started services'

        # Now create client to DataProductManagementService
        self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
        self.damsclient = DataAcquisitionManagementServiceClient(
            node=self.container.node)
        self.pubsubclient = PubsubManagementServiceClient(
            node=self.container.node)
        self.ingestclient = IngestionManagementServiceClient(
            node=self.container.node)
        self.imsclient = InstrumentManagementServiceClient(
            node=self.container.node)
        self.dataproductclient = DataProductManagementServiceClient(
            node=self.container.node)
        self.dataprocessclient = DataProcessManagementServiceClient(
            node=self.container.node)
        self.datasetclient = DatasetManagementServiceClient(
            node=self.container.node)
        self.omsclient = ObservatoryManagementServiceClient(
            node=self.container.node)
        self.processdispatchclient = ProcessDispatcherServiceClient(
            node=self.container.node)
        self.dataset_management = DatasetManagementServiceClient()

        # deactivate all data processes when tests are complete
        def killAllDataProcesses():
            for proc_id in self.rrclient.find_resources(
                    RT.DataProcess, None, None, True)[0]:
                self.dataprocessclient.deactivate_data_process(proc_id)
                self.dataprocessclient.delete_data_process(proc_id)

        self.addCleanup(killAllDataProcesses)

    def create_logger(self, name, stream_id=''):

        # logger process
        producer_definition = ProcessDefinition(name=name + '_logger')
        producer_definition.executable = {
            'module': 'ion.processes.data.stream_granule_logger',
            'class': 'StreamGranuleLogger'
        }

        logger_procdef_id = self.processdispatchclient.create_process_definition(
            process_definition=producer_definition)
        configuration = {
            'process': {
                'stream_id': stream_id,
            }
        }
        pid = self.processdispatchclient.schedule_process(
            process_definition_id=logger_procdef_id,
            configuration=configuration)

        return pid

    def cleanupprocs(self):
        stm = os.popen('ps -e | grep ion.agents.port.logger_process')
        procs = stm.read()
        if len(procs) > 0:
            procs = procs.split()
            if procs[0].isdigit():
                pid = int(procs[0])
                os.kill(pid, signal.SIGKILL)
        stm = os.popen('ps -e | grep ion.agents.instrument.zmq_driver_process')
        procs = stm.read()
        if len(procs) > 0:
            procs = procs.split()
            if procs[0].isdigit():
                pid = int(procs[0])
                os.kill(pid, signal.SIGKILL)
#       stm = os.popen('rm /tmp/*.pid.txt')

    @unittest.skip(
        "Deprecated by IngestionManagement refactor, timeout on start inst agent?"
    )
    def test_deploy_activate_full(self):

        # ensure no processes or pids are left around by agents or Sims
        #self.cleanupprocs()

        self.loggerpids = []

        #-------------------------------
        # Create InstrumentModel
        #-------------------------------
        instModel_obj = IonObject(RT.InstrumentModel,
                                  name='SBE37IMModel',
                                  description="SBE37IMModel")
        try:
            instModel_id = self.imsclient.create_instrument_model(
                instModel_obj)
        except BadRequest as ex:
            self.fail("failed to create new InstrumentModel: %s" % ex)

        #-------------------------------
        # Create InstrumentAgent
        #-------------------------------
        instAgent_obj = IonObject(RT.InstrumentAgent,
                                  name='agent007',
                                  description="SBE37IMAgent",
                                  driver_uri=DRV_URI_GOOD)

        try:
            instAgent_id = self.imsclient.create_instrument_agent(
                instAgent_obj)
        except BadRequest as ex:
            self.fail("failed to create new InstrumentAgent: %s" % ex)
        log.debug('new InstrumentAgent id = %s', instAgent_id)

        self.imsclient.assign_instrument_model_to_instrument_agent(
            instModel_id, instAgent_id)

        #-------------------------------
        # Create Instrument Site
        #-------------------------------
        instrumentSite_obj = IonObject(RT.InstrumentSite,
                                       name='instrumentSite1',
                                       description="SBE37IMInstrumentSite")
        try:
            instrumentSite_id = self.omsclient.create_instrument_site(
                instrument_site=instrumentSite_obj, parent_id='')
        except BadRequest as ex:
            self.fail("failed to create new InstrumentSite: %s" % ex)
        print 'test_deployAsPrimaryDevice: new instrumentSite id = ', instrumentSite_id

        self.omsclient.assign_instrument_model_to_instrument_site(
            instModel_id, instrumentSite_id)

        #-------------------------------
        # Logical Transform: Output Data Products
        #-------------------------------

        # Construct temporal and spatial Coordinate Reference System objects
        tdom, sdom = time_series_domain()

        sdom = sdom.dump()
        tdom = tdom.dump()

        parsed_pdict_id = self.dataset_management.read_parameter_dictionary_by_name(
            'ctd_parsed_param_dict', id_only=True)
        parsed_stream_def_id = self.pubsubclient.create_stream_definition(
            name='parsed', parameter_dictionary_id=parsed_pdict_id)

        raw_pdict_id = self.dataset_management.read_parameter_dictionary_by_name(
            'ctd_raw_param_dict', id_only=True)
        raw_stream_def_id = self.pubsubclient.create_stream_definition(
            name='raw', parameter_dictionary_id=raw_pdict_id)

        #-------------------------------
        # Create Old InstrumentDevice
        #-------------------------------
        instDevice_obj = IonObject(
            RT.InstrumentDevice,
            name='SBE37IMDeviceYear1',
            description="SBE37IMDevice for the FIRST year of deployment",
            serial_number="12345")
        try:
            oldInstDevice_id = self.imsclient.create_instrument_device(
                instrument_device=instDevice_obj)
            self.imsclient.assign_instrument_model_to_instrument_device(
                instModel_id, oldInstDevice_id)
        except BadRequest as ex:
            self.fail("failed to create new InstrumentDevice: %s" % ex)

        print 'test_deployAsPrimaryDevice: new Year 1 InstrumentDevice id = ', oldInstDevice_id

        self.rrclient.execute_lifecycle_transition(oldInstDevice_id,
                                                   LCE.DEPLOY)
        self.rrclient.execute_lifecycle_transition(oldInstDevice_id,
                                                   LCE.ENABLE)

        #-------------------------------
        # Create Raw and Parsed Data Products for the device
        #-------------------------------

        dp_obj = IonObject(RT.DataProduct,
                           name='SiteDataProduct',
                           description='SiteDataProduct',
                           temporal_domain=tdom,
                           spatial_domain=sdom)

        instrument_site_output_dp_id = self.dataproductclient.create_data_product(
            data_product=dp_obj, stream_definition_id=parsed_stream_def_id)

        self.damsclient.assign_data_product(
            input_resource_id=oldInstDevice_id,
            data_product_id=instrument_site_output_dp_id)

        #self.dataproductclient.activate_data_product_persistence(data_product_id=instrument_site_output_dp_id)

        # Retrieve the id of the OUTPUT stream from the out Data Product
        stream_ids, _ = self.rrclient.find_objects(
            instrument_site_output_dp_id, PRED.hasStream, None, True)
        log.debug('Data product streams1 = %s', stream_ids)

        # Retrieve the id of the OUTPUT stream from the out Data Product
        dataset_ids, _ = self.rrclient.find_objects(
            instrument_site_output_dp_id, PRED.hasDataset, RT.Dataset, True)
        log.debug('Data set for data_product_id1 = %s', dataset_ids[0])
        self.parsed_dataset = dataset_ids[0]

        pid = self.create_logger('ctd_parsed', stream_ids[0])
        self.loggerpids.append(pid)

        #-------------------------------
        # Create Old Deployment
        #-------------------------------
        deployment_obj = IonObject(RT.Deployment, name='first deployment')

        oldDeployment_id = self.omsclient.create_deployment(deployment_obj)

        # deploy this device to the logical slot
        self.imsclient.deploy_instrument_device(oldInstDevice_id,
                                                oldDeployment_id)
        self.omsclient.deploy_instrument_site(instrumentSite_id,
                                              oldDeployment_id)

        #-------------------------------
        # Create InstrumentAgentInstance for OldInstrumentDevice to hold configuration information
        # cmd_port=5556, evt_port=5557, comms_method="ethernet", comms_device_address=CFG.device.sbe37.host, comms_device_port=CFG.device.sbe37.port,
        #-------------------------------

        port_agent_config = {
            'device_addr': CFG.device.sbe37.host,
            'device_port': CFG.device.sbe37.port,
            'process_type': PortAgentProcessType.UNIX,
            'binary_path': "port_agent",
            'port_agent_addr': 'localhost',
            'command_port': CFG.device.sbe37.port_agent_cmd_port,
            'data_port': CFG.device.sbe37.port_agent_data_port,
            'log_level': 5,
            'type': PortAgentType.ETHERNET
        }

        raw_config = StreamConfiguration(
            stream_name='raw', parameter_dictionary_name='ctd_raw_param_dict')
        parsed_config = StreamConfiguration(
            stream_name='parsed',
            parameter_dictionary_name='ctd_parsed_param_dict')

        instAgentInstance_obj = IonObject(
            RT.InstrumentAgentInstance,
            name='SBE37IMAgentInstanceYear1',
            description="SBE37IMAgentInstanceYear1",
            port_agent_config=port_agent_config,
            stream_configurations=[raw_config, parsed_config])

        oldInstAgentInstance_id = self.imsclient.create_instrument_agent_instance(
            instAgentInstance_obj, instAgent_id, oldInstDevice_id)

        tdom, sdom = time_series_domain()
        sdom = sdom.dump()
        tdom = tdom.dump()

        #-------------------------------
        # Create CTD Parsed as the Year 1 data product and attach to instrument
        #-------------------------------

        print 'Creating new CDM data product with a stream definition'

        dp_obj = IonObject(RT.DataProduct,
                           name='ctd_parsed_year1',
                           description='ctd stream test year 1',
                           temporal_domain=tdom,
                           spatial_domain=sdom)

        ctd_parsed_data_product_year1 = self.dataproductclient.create_data_product(
            data_product=dp_obj, stream_definition_id=parsed_stream_def_id)

        print 'new ctd_parsed_data_product_id = ', ctd_parsed_data_product_year1

        self.damsclient.assign_data_product(
            input_resource_id=oldInstDevice_id,
            data_product_id=ctd_parsed_data_product_year1)

        # Retrieve the id of the OUTPUT stream from the out Data Product
        stream_ids, _ = self.rrclient.find_objects(
            ctd_parsed_data_product_year1, PRED.hasStream, None, True)
        print 'test_deployAsPrimaryDevice: Data product streams1 = ', stream_ids

        #-------------------------------
        # Create New InstrumentDevice
        #-------------------------------
        instDevice_obj_2 = IonObject(
            RT.InstrumentDevice,
            name='SBE37IMDeviceYear2',
            description="SBE37IMDevice for the SECOND year of deployment",
            serial_number="67890")
        try:
            newInstDevice_id = self.imsclient.create_instrument_device(
                instrument_device=instDevice_obj_2)
            self.imsclient.assign_instrument_model_to_instrument_device(
                instModel_id, newInstDevice_id)
        except BadRequest as ex:
            self.fail("failed to create new InstrumentDevice: %s" % ex)

        print 'test_deployAsPrimaryDevice: new  Year 2 InstrumentDevice id = ', newInstDevice_id

        #set the LCSTATE
        self.rrclient.execute_lifecycle_transition(newInstDevice_id,
                                                   LCE.DEPLOY)
        self.rrclient.execute_lifecycle_transition(newInstDevice_id,
                                                   LCE.ENABLE)

        instDevice_obj_2 = self.rrclient.read(newInstDevice_id)
        log.debug(
            "test_deployAsPrimaryDevice: Create New InstrumentDevice LCSTATE: %s ",
            str(instDevice_obj_2.lcstate))

        #-------------------------------
        # Create Old Deployment
        #-------------------------------
        deployment_obj = IonObject(RT.Deployment, name='second deployment')

        newDeployment_id = self.omsclient.create_deployment(deployment_obj)

        # deploy this device to the logical slot
        self.imsclient.deploy_instrument_device(newInstDevice_id,
                                                newDeployment_id)
        self.omsclient.deploy_instrument_site(instrumentSite_id,
                                              newDeployment_id)

        #-------------------------------
        # Create InstrumentAgentInstance for NewInstrumentDevice to hold configuration information
        #-------------------------------

        port_agent_config = {
            'device_addr': 'sbe37-simulator.oceanobservatories.org',
            'device_port': 4004,
            'process_type': PortAgentProcessType.UNIX,
            'binary_path': "port_agent",
            'port_agent_addr': 'localhost',
            'command_port': 4005,
            'data_port': 4006,
            'log_level': 5,
            'type': PortAgentType.ETHERNET
        }

        instAgentInstance_obj = IonObject(
            RT.InstrumentAgentInstance,
            name='SBE37IMAgentInstanceYear2',
            description="SBE37IMAgentInstanceYear2",
            port_agent_config=port_agent_config)

        newInstAgentInstance_id = self.imsclient.create_instrument_agent_instance(
            instAgentInstance_obj, instAgent_id, newInstDevice_id)

        #-------------------------------
        # Create CTD Parsed as the Year 2 data product
        #-------------------------------

        dp_obj = IonObject(RT.DataProduct,
                           name='ctd_parsed_year2',
                           description='ctd stream test year 2',
                           temporal_domain=tdom,
                           spatial_domain=sdom)

        ctd_parsed_data_product_year2 = self.dataproductclient.create_data_product(
            data_product=dp_obj, stream_definition_id=parsed_stream_def_id)

        print 'new ctd_parsed_data_product_id = ', ctd_parsed_data_product_year2

        self.damsclient.assign_data_product(
            input_resource_id=newInstDevice_id,
            data_product_id=ctd_parsed_data_product_year2)

        # Retrieve the id of the OUTPUT stream from the out Data Product
        stream_ids, _ = self.rrclient.find_objects(
            ctd_parsed_data_product_year2, PRED.hasStream, None, True)
        print 'test_deployAsPrimaryDevice: Data product streams2 = ', stream_ids

        #-------------------------------
        # L0 Conductivity - Temperature - Pressure: Data Process Definition
        #-------------------------------
        log.debug(
            "test_deployAsPrimaryDevice: create data process definition ctd_L0_all"
        )
        dpd_obj = IonObject(
            RT.DataProcessDefinition,
            name='ctd_L0_all',
            description='transform ctd package into three separate L0 streams',
            module='ion.processes.data.transforms.ctd.ctd_L0_all',
            class_name='ctd_L0_all')
        try:
            ctd_L0_all_dprocdef_id = self.dataprocessclient.create_data_process_definition(
                dpd_obj)
        except BadRequest as ex:
            self.fail(
                "failed to create new ctd_L0_all data process definition: %s" %
                ex)

        #-------------------------------
        # L0 Conductivity - Temperature - Pressure: Output Data Products
        #-------------------------------

        outgoing_stream_l0_conductivity_id = self.pubsubclient.create_stream_definition(
            name='L0_Conductivity', parameter_dictionary_id=parsed_pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(
            outgoing_stream_l0_conductivity_id,
            ctd_L0_all_dprocdef_id,
            binding='conductivity')

        outgoing_stream_l0_pressure_id = self.pubsubclient.create_stream_definition(
            name='L0_Pressure', parameter_dictionary_id=parsed_pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(
            outgoing_stream_l0_pressure_id,
            ctd_L0_all_dprocdef_id,
            binding='pressure')

        outgoing_stream_l0_temperature_id = self.pubsubclient.create_stream_definition(
            name='L0_Temperature', parameter_dictionary_id=parsed_pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(
            outgoing_stream_l0_temperature_id,
            ctd_L0_all_dprocdef_id,
            binding='temperature')

        self.out_prod_dict = {}
        log.debug(
            "test_deployAsPrimaryDevice: create output data product L0 conductivity"
        )

        ctd_l0_conductivity_output_dp_obj = IonObject(
            RT.DataProduct,
            name='L0_Conductivity',
            description='transform output conductivity',
            temporal_domain=tdom,
            spatial_domain=sdom)

        ctd_l0_conductivity_output_dp_id = self.dataproductclient.create_data_product(
            data_product=ctd_l0_conductivity_output_dp_obj,
            stream_definition_id=parsed_stream_def_id)
        self.out_prod_dict['conductivity'] = ctd_l0_conductivity_output_dp_id
        #self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_l0_conductivity_output_dp_id)

        log.debug(
            "test_deployAsPrimaryDevice: create output data product L0 pressure"
        )

        ctd_l0_pressure_output_dp_obj = IonObject(
            RT.DataProduct,
            name='L0_Pressure',
            description='transform output pressure',
            temporal_domain=tdom,
            spatial_domain=sdom)

        ctd_l0_pressure_output_dp_id = self.dataproductclient.create_data_product(
            data_product=ctd_l0_pressure_output_dp_obj,
            stream_definition_id=parsed_stream_def_id)

        self.out_prod_dict['pressure'] = ctd_l0_pressure_output_dp_id
        #self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_l0_pressure_output_dp_id)

        log.debug(
            "test_deployAsPrimaryDevice: create output data product L0 temperature"
        )

        ctd_l0_temperature_output_dp_obj = IonObject(
            RT.DataProduct,
            name='L0_Temperature',
            description='transform output temperature',
            temporal_domain=tdom,
            spatial_domain=sdom)

        ctd_l0_temperature_output_dp_id = self.dataproductclient.create_data_product(
            data_product=ctd_l0_temperature_output_dp_obj,
            stream_definition_id=parsed_stream_def_id)

        self.out_prod_dict['temperature'] = ctd_l0_temperature_output_dp_id
        #self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_l0_temperature_output_dp_id)

        #-------------------------------
        # L0 Conductivity - Temperature - Pressure: Create the data process, listening to  Sim1   (later: logical instrument output product)
        #-------------------------------
        log.debug(
            "test_deployAsPrimaryDevice: create L0 all data_process start")
        try:
            out_data_products = self.out_prod_dict.values()
            ctd_l0_all_data_process_id = self.dataprocessclient.create_data_process(
                ctd_L0_all_dprocdef_id, [ctd_parsed_data_product_year1],
                out_data_products)
            self.dataprocessclient.activate_data_process(
                ctd_l0_all_data_process_id)
        except BadRequest as ex:
            self.fail("failed to create new data process: %s" % ex)
        log.debug(
            "test_deployAsPrimaryDevice: create L0 all data_process return")

        #--------------------------------
        # Activate the deployment
        #--------------------------------
        self.omsclient.activate_deployment(oldDeployment_id)

        #-------------------------------
        # Launch InstrumentAgentInstance Sim1, connect to the resource agent client
        #-------------------------------
        self.imsclient.start_instrument_agent_instance(
            instrument_agent_instance_id=oldInstAgentInstance_id)
        self.addCleanup(self.imsclient.stop_instrument_agent_instance,
                        instrument_agent_instance_id=oldInstAgentInstance_id)

        #wait for start
        instance_obj = self.imsclient.read_instrument_agent_instance(
            oldInstAgentInstance_id)
        gate = AgentProcessStateGate(self.processdispatchclient.read_process,
                                     oldInstDevice_id,
                                     ProcessStateEnum.RUNNING)
        self.assertTrue(
            gate. await (30),
            "The instrument agent instance (%s) did not spawn in 30 seconds" %
            gate.process_id)

        inst_agent1_instance_obj = self.imsclient.read_instrument_agent_instance(
            oldInstAgentInstance_id)
        print 'test_deployAsPrimaryDevice: Instrument agent instance obj: = ', inst_agent1_instance_obj

        # Start a resource agent client to talk with the instrument agent.
        self._ia_client_sim1 = ResourceAgentClient('iaclient Sim1',
                                                   name=gate.process_id,
                                                   process=FakeProcess())
        print 'activate_instrument: got _ia_client_sim1 %s', self._ia_client_sim1
        log.debug(" test_deployAsPrimaryDevice:: got _ia_client_sim1 %s",
                  str(self._ia_client_sim1))

        #-------------------------------
        # Launch InstrumentAgentInstance Sim2, connect to the resource agent client
        #-------------------------------
        self.imsclient.start_instrument_agent_instance(
            instrument_agent_instance_id=newInstAgentInstance_id)
        self.addCleanup(self.imsclient.stop_instrument_agent_instance,
                        instrument_agent_instance_id=newInstAgentInstance_id)

        #wait for start
        instance_obj = self.imsclient.read_instrument_agent_instance(
            newInstAgentInstance_id)
        gate = AgentProcessStateGate(self.processdispatchclient.read_process,
                                     oldInstDevice_id,
                                     ProcessStateEnum.RUNNING)
        self.assertTrue(
            gate. await (30),
            "The instrument agent instance (%s) did not spawn in 30 seconds" %
            gate.process_id)

        inst_agent2_instance_obj = self.imsclient.read_instrument_agent_instance(
            newInstAgentInstance_id)
        print 'test_deployAsPrimaryDevice: Instrument agent instance obj: = ', inst_agent2_instance_obj

        # Start a resource agent client to talk with the instrument agent.
        self._ia_client_sim2 = ResourceAgentClient('iaclient Sim2',
                                                   name=gate.process_id,
                                                   process=FakeProcess())
        print 'activate_instrument: got _ia_client_sim2 %s', self._ia_client_sim2
        log.debug(" test_deployAsPrimaryDevice:: got _ia_client_sim2 %s",
                  str(self._ia_client_sim2))

        #-------------------------------
        # Streaming Sim1 (old instrument)
        #-------------------------------

        cmd = AgentCommand(command=ResourceAgentEvent.INITIALIZE)
        retval = self._ia_client_sim1.execute_agent(cmd)
        log.debug("test_deployAsPrimaryDevice: initialize %s", str(retval))

        log.debug("(L4-CI-SA-RQ-334): Sending go_active command ")
        cmd = AgentCommand(command=ResourceAgentEvent.GO_ACTIVE)
        reply = self._ia_client_sim1.execute_agent(cmd)
        log.debug("test_deployAsPrimaryDevice: return value from go_active %s",
                  str(reply))
        self.assertTrue(reply)

        cmd = AgentCommand(command=ResourceAgentEvent.GET_RESOURCE_STATE)
        retval = self._ia_client_sim1.execute_agent(cmd)
        state = retval.result
        log.debug(
            "(L4-CI-SA-RQ-334): current state after sending go_active command %s",
            str(state))

        cmd = AgentCommand(command=ResourceAgentEvent.RUN)
        reply = self._ia_client_sim1.execute_agent(cmd)
        log.debug("test_deployAsPrimaryDevice: run %s", str(reply))

        gevent.sleep(2)

        cmd = AgentCommand(command=SBE37ProtocolEvent.START_AUTOSAMPLE)
        retval = self._ia_client_sim1.execute_resource(cmd)
        log.debug(
            "test_activateInstrumentSample: return from START_AUTOSAMPLE: %s",
            str(retval))

        #-------------------------------
        # Streaming Sim 2 (new instrument)
        #-------------------------------

        cmd = AgentCommand(command=ResourceAgentEvent.INITIALIZE)
        retval = self._ia_client_sim2.execute_agent(cmd)
        log.debug("test_deployAsPrimaryDevice: initialize_sim2 %s",
                  str(retval))

        log.debug("(L4-CI-SA-RQ-334): Sending go_active command ")
        cmd = AgentCommand(command=ResourceAgentEvent.GO_ACTIVE)
        reply = self._ia_client_sim2.execute_agent(cmd)
        log.debug(
            "test_deployAsPrimaryDevice: return value from go_active_sim2 %s",
            str(reply))

        cmd = AgentCommand(command=ResourceAgentEvent.GET_RESOURCE_STATE)
        retval = self._ia_client_sim2.execute_agent(cmd)
        state = retval.result
        log.debug(
            "(L4-CI-SA-RQ-334): current state after sending go_active_sim2 command %s",
            str(state))

        cmd = AgentCommand(command=ResourceAgentEvent.RUN)
        reply = self._ia_client_sim2.execute_agent(cmd)
        log.debug("test_deployAsPrimaryDevice: run %s", str(reply))

        gevent.sleep(2)

        cmd = AgentCommand(command=SBE37ProtocolEvent.START_AUTOSAMPLE)
        retval = self._ia_client_sim2.execute_resource(cmd)
        log.debug(
            "test_activateInstrumentSample: return from START_AUTOSAMPLE_sim2: %s",
            str(retval))

        gevent.sleep(10)

        #-------------------------------
        # Shutdown Sim1 (old instrument)
        #-------------------------------
        cmd = AgentCommand(command=SBE37ProtocolEvent.STOP_AUTOSAMPLE)
        retval = self._ia_client_sim1.execute_resource(cmd)
        log.debug(
            "test_activateInstrumentSample: return from STOP_AUTOSAMPLE: %s",
            str(retval))

        log.debug("test_activateInstrumentSample: calling reset ")
        cmd = AgentCommand(command=ResourceAgentEvent.RESET)
        reply = self._ia_client_sim1.execute_agent(cmd)
        log.debug("test_activateInstrumentSample: return from reset %s",
                  str(reply))
        time.sleep(5)

        #-------------------------------
        # Shutdown Sim2 (old instrument)
        #-------------------------------
        cmd = AgentCommand(command=SBE37ProtocolEvent.STOP_AUTOSAMPLE)
        retval = self._ia_client_sim2.execute_resource(cmd)
        log.debug(
            "test_activateInstrumentSample: return from STOP_AUTOSAMPLE_sim2: %s",
            str(retval))

        log.debug("test_activateInstrumentSample: calling reset_sim2 ")
        cmd = AgentCommand(command=ResourceAgentEvent.RESET)
        reply = self._ia_client_sim1.execute_agent(cmd)
        log.debug("test_activateInstrumentSample: return from reset_sim2 %s",
                  str(reply))
        time.sleep(5)
Example #8
0
class TestDeployment(IonIntegrationTestCase):

    def setUp(self):
        # Start container
        self._start_container()
        self.container.start_rel_from_url('res/deploy/r2deploy.yml')

        self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
        self.omsclient = ObservatoryManagementServiceClient(node=self.container.node)
        self.imsclient = InstrumentManagementServiceClient(node=self.container.node)
        self.dmpsclient = DataProductManagementServiceClient(node=self.container.node)
        self.damsclient = DataAcquisitionManagementServiceClient(node=self.container.node)
        self.psmsclient = PubsubManagementServiceClient(node=self.container.node)
        self.dataset_management = DatasetManagementServiceClient()

        self.c = DotDict()
        self.c.resource_registry = self.rrclient
        self.RR2 = EnhancedResourceRegistryClient(self.rrclient)

        self.dsmsclient = DataProcessManagementServiceClient(node=self.container.node)


        # deactivate all data processes when tests are complete
        def killAllDataProcesses():
            for proc_id in self.rrclient.find_resources(RT.DataProcess, None, None, True)[0]:
                self.dsmsclient.deactivate_data_process(proc_id)
                self.dsmsclient.delete_data_process(proc_id)
        self.addCleanup(killAllDataProcesses)


    #@unittest.skip("targeting")
    def test_create_deployment(self):

        #create a deployment with metadata and an initial site and device
        platform_site__obj = IonObject(RT.PlatformSite,
                                        name='PlatformSite1',
                                        description='test platform site')
        site_id = self.omsclient.create_platform_site(platform_site__obj)

        platform_device__obj = IonObject(RT.PlatformDevice,
                                        name='PlatformDevice1',
                                        description='test platform device')
        device_id = self.imsclient.create_platform_device(platform_device__obj)

        start = str(int(time.mktime(datetime.datetime(2013, 1, 1).timetuple())))
        end = str(int(time.mktime(datetime.datetime(2014, 1, 1).timetuple())))
        temporal_bounds = IonObject(OT.TemporalBounds, name='planned', start_datetime=start, end_datetime=end)
        deployment_obj = IonObject(RT.Deployment,
                                        name='TestDeployment',
                                        description='some new deployment',
                                        constraint_list=[temporal_bounds])
        deployment_id = self.omsclient.create_deployment(deployment_obj)
        self.omsclient.assign_site_to_deployment(site_id, deployment_id)
        self.omsclient.assign_device_to_deployment(device_id, deployment_id)

        log.debug("test_create_deployment: created deployment id: %s ", str(deployment_id) )

        #retrieve the deployment objects and check that the assoc site and device are attached
        read_deployment_obj = self.omsclient.read_deployment(deployment_id)
        log.debug("test_create_deployment: created deployment obj: %s ", str(read_deployment_obj) )

        site_ids, _ = self.rrclient.find_subjects(RT.PlatformSite, PRED.hasDeployment, deployment_id, True)
        self.assertEqual(len(site_ids), 1)

        device_ids, _ = self.rrclient.find_subjects(RT.PlatformDevice, PRED.hasDeployment, deployment_id, True)
        self.assertEqual(len(device_ids), 1)

        #delete the deployment
        self.omsclient.force_delete_deployment(deployment_id)
        # now try to get the deleted dp object
        try:
            self.omsclient.read_deployment(deployment_id)
        except NotFound:
            pass
        else:
            self.fail("deleted deployment was found during read")

    #@unittest.skip("targeting")
    def test_prepare_deployment_support(self):

        deploy_sup = self.omsclient.prepare_deployment_support()
        self.assertTrue(deploy_sup)
        self.assertEquals(deploy_sup.associations['DeploymentHasInstrumentDevice'].type_, "AssocDeploymentInstDevice")
        self.assertEquals(deploy_sup.associations['DeploymentHasInstrumentDevice'].resources, [])
        self.assertEquals(deploy_sup.associations['DeploymentHasInstrumentDevice'].associated_resources, [])
        self.assertEquals(deploy_sup.associations['DeploymentHasPlatformDevice'].type_, "AssocDeploymentPlatDevice")
        self.assertEquals(deploy_sup.associations['DeploymentHasPlatformDevice'].resources, [])
        self.assertEquals(deploy_sup.associations['DeploymentHasPlatformDevice'].associated_resources, [])
        self.assertEquals(deploy_sup.associations['DeploymentHasInstrumentSite'].type_, "AssocDeploymentInstSite")
        self.assertEquals(deploy_sup.associations['DeploymentHasInstrumentSite'].resources, [])
        self.assertEquals(deploy_sup.associations['DeploymentHasInstrumentSite'].associated_resources, [])
        self.assertEquals(deploy_sup.associations['DeploymentHasPlatformSite'].type_, "AssocDeploymentPlatSite")
        self.assertEquals(deploy_sup.associations['DeploymentHasPlatformSite'].resources, [])
        self.assertEquals(deploy_sup.associations['DeploymentHasPlatformSite'].associated_resources, [])

        #create a deployment with metadata and an initial site and device
        platform_site__obj = IonObject(RT.PlatformSite,
                                        name='PlatformSite1',
                                        description='test platform site')
        site_id = self.omsclient.create_platform_site(platform_site__obj)

        platform_device__obj = IonObject(RT.PlatformDevice,
                                        name='PlatformDevice1',
                                        description='test platform device')
        device_id = self.imsclient.create_platform_device(platform_device__obj)

        start = str(int(time.mktime(datetime.datetime(2013, 1, 1).timetuple())))
        end = str(int(time.mktime(datetime.datetime(2014, 1, 1).timetuple())))
        temporal_bounds = IonObject(OT.TemporalBounds, name='planned', start_datetime=start, end_datetime=end)
        deployment_obj = IonObject(RT.Deployment,
                                        name='TestDeployment',
                                        description='some new deployment',
                                        constraint_list=[temporal_bounds])
        deployment_id = self.omsclient.create_deployment(deployment_obj)

        deploy_sup = self.omsclient.prepare_deployment_support(deployment_id)

        self.assertEquals(deploy_sup.associations['DeploymentHasInstrumentDevice'].resources, [])
        self.assertEquals(deploy_sup.associations['DeploymentHasInstrumentDevice'].associated_resources, [])
        self.assertEquals(len(deploy_sup.associations['DeploymentHasPlatformDevice'].resources), 1)
        self.assertEquals(deploy_sup.associations['DeploymentHasPlatformDevice'].associated_resources, [])
        self.assertEquals(deploy_sup.associations['DeploymentHasInstrumentSite'].resources, [])
        self.assertEquals(deploy_sup.associations['DeploymentHasInstrumentSite'].associated_resources, [])
        self.assertEquals(len(deploy_sup.associations['DeploymentHasPlatformSite'].resources), 1)
        self.assertEquals(deploy_sup.associations['DeploymentHasPlatformSite'].associated_resources, [])

        self.omsclient.assign_site_to_deployment(site_id, deployment_id)
        self.omsclient.assign_device_to_deployment(device_id, deployment_id)

        deploy_sup = self.omsclient.prepare_deployment_support(deployment_id)

        self.assertEquals(deploy_sup.associations['DeploymentHasInstrumentDevice'].resources, [])
        self.assertEquals(deploy_sup.associations['DeploymentHasInstrumentDevice'].associated_resources, [])
        self.assertEquals(len(deploy_sup.associations['DeploymentHasPlatformDevice'].resources), 1)
        self.assertEquals(len(deploy_sup.associations['DeploymentHasPlatformDevice'].associated_resources), 1)
        self.assertEquals(deploy_sup.associations['DeploymentHasInstrumentSite'].resources, [])
        self.assertEquals(deploy_sup.associations['DeploymentHasInstrumentSite'].associated_resources, [])
        self.assertEquals(len(deploy_sup.associations['DeploymentHasPlatformSite'].resources), 1)
        self.assertEquals(len(deploy_sup.associations['DeploymentHasPlatformSite'].associated_resources), 1)

        #delete the deployment
        self.omsclient.force_delete_deployment(deployment_id)
        # now try to get the deleted dp object
        try:
            self.omsclient.read_deployment(deployment_id)
        except NotFound:
            pass
        else:
            self.fail("deleted deployment was found during read")


    #@unittest.skip("targeting")
    def base_activate_deployment(self, make_assigns=False):
        # Create platform site, platform device, platform model

        bounds = GeospatialBounds(geospatial_latitude_limit_north=float(5),
                                  geospatial_latitude_limit_south=float(5),
                                  geospatial_longitude_limit_west=float(15),
                                  geospatial_longitude_limit_east=float(15),
                                  geospatial_vertical_min=float(0),
                                  geospatial_vertical_max=float(1000))

        platform_site__obj = IonObject(RT.PlatformSite,
                                        name='PlatformSite1',
                                        description='test platform site',
                                        constraint_list=[bounds])
        platform_site_id = self.omsclient.create_platform_site(platform_site__obj)

        platform_device_obj = IonObject(RT.PlatformDevice,
                                        name='PlatformDevice1',
                                        description='test platform device')
        platform_device_id = self.imsclient.create_platform_device(platform_device_obj)

        platform_model__obj = IonObject(RT.PlatformModel,
                                        name='PlatformModel1',
                                        description='test platform model')
        platform_model_id = self.imsclient.create_platform_model(platform_model__obj)

        # Create instrument site
        #-------------------------------------------------------------------------------------

        bounds = GeospatialBounds(geospatial_latitude_limit_north=float(45),
                                  geospatial_latitude_limit_south=float(40),
                                  geospatial_longitude_limit_west=float(-75),
                                  geospatial_longitude_limit_east=float(-70),
                                  geospatial_vertical_min=float(0),
                                  geospatial_vertical_max=float(500))

        instrument_site_obj = IonObject(RT.InstrumentSite,
                                        name='InstrumentSite1',
                                        description='test instrument site',
                                        reference_designator='GA01SUMO-FI003-01-CTDMO0999',
                                        constraint_list=[bounds])
        instrument_site_id = self.omsclient.create_instrument_site(instrument_site_obj, platform_site_id)

        pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
        ctd_stream_def_id = self.psmsclient.create_stream_definition(name='SBE37_CDM', parameter_dictionary_id=pdict_id)

        # Create an instrument device
        instrument_device_obj = IonObject(RT.InstrumentDevice,
                                        name='InstrumentDevice1',
                                        description='test instrument device')
        instrument_device_id = self.imsclient.create_instrument_device(instrument_device_obj)
        self.rrclient.create_association(platform_device_id, PRED.hasDevice, instrument_device_id)

        pp_obj = IonObject(OT.PlatformPort, reference_designator='GA01SUMO-FI003-01-CTDMO0999', port_type= PortTypeEnum.PAYLOAD, ip_address='1' )
        port_assignments = {instrument_device_id : pp_obj}


        #----------------------------------------------------------------------------------------------------
        # Create an instrument model
        instrument_model_obj = IonObject(RT.InstrumentModel,
                                        name='InstrumentModel1',
                                        description='test instrument model')
        instrument_model_id = self.imsclient.create_instrument_model(instrument_model_obj)

        # Create a deployment object
        #----------------------------------------------------------------------------------------------------

        start = str(int(time.mktime(datetime.datetime(2013, 1, 1).timetuple())))
        end = str(int(time.mktime(datetime.datetime(2020, 1, 1).timetuple())))
        temporal_bounds = IonObject(OT.TemporalBounds, name='planned', start_datetime=start, end_datetime=end)
        deployment_obj = IonObject(RT.Deployment,
                                   name='TestDeployment',
                                   description='some new deployment',
                                   context=IonObject(OT.CabledNodeDeploymentContext),
                                   port_assignments=port_assignments,
                                   constraint_list=[temporal_bounds])
        deployment_id = self.omsclient.create_deployment(deployment_obj)

        log.debug("test_create_deployment: created deployment id: %s ", str(deployment_id) )

        if make_assigns:
            self.imsclient.assign_platform_model_to_platform_device(platform_model_id, platform_device_id)
            self.imsclient.assign_instrument_model_to_instrument_device(instrument_model_id, instrument_device_id)
            self.omsclient.assign_platform_model_to_platform_site(platform_model_id, platform_site_id)
            self.omsclient.assign_instrument_model_to_instrument_site(instrument_model_id, instrument_site_id)

            self.omsclient.assign_site_to_deployment(platform_site_id, deployment_id)
            self.omsclient.assign_device_to_deployment(platform_device_id, deployment_id)

        ret = DotDict(instrument_site_id=instrument_site_id,
                      instrument_device_id=instrument_device_id,
                      instrument_model_id=instrument_model_id,
                      platform_site_id=platform_site_id,
                      platform_device_id=platform_device_id,
                      platform_model_id=platform_model_id,
                      deployment_id=deployment_id)

        return ret

    def _create_subsequent_deployment(self, prior_dep_info):
        platform_device_obj = IonObject(RT.PlatformDevice,
                                        name='PlatformDevice2',
                                        description='test platform device')
        platform_device_id = self.imsclient.create_platform_device(platform_device_obj)

        instrument_device_obj = IonObject(RT.InstrumentDevice,
                                        name='InstrumentDevice2',
                                        description='test instrument device')
        instrument_device_id = self.imsclient.create_instrument_device(instrument_device_obj)
        self.rrclient.create_association(platform_device_id, PRED.hasDevice, instrument_device_id)

        self.imsclient.assign_platform_model_to_platform_device(prior_dep_info.platform_model_id, platform_device_id)
        self.imsclient.assign_instrument_model_to_instrument_device(prior_dep_info.instrument_model_id, instrument_device_id)

        start = str(int(time.mktime(datetime.datetime(2013, 6, 1).timetuple())))
        end = str(int(time.mktime(datetime.datetime(2020, 6, 1).timetuple())))
        temporal_bounds = IonObject(OT.TemporalBounds, name='planned', start_datetime=start, end_datetime=end)
        deployment_obj = IonObject(RT.Deployment,
                                   name='TestDeployment2',
                                   description='some new deployment',
                                   context=IonObject(OT.CabledNodeDeploymentContext),
                                   constraint_list=[temporal_bounds])
        deployment_id = self.omsclient.create_deployment(deployment_obj)

        self.omsclient.assign_site_to_deployment(prior_dep_info.platform_site_id, deployment_id)
        self.omsclient.assign_device_to_deployment(prior_dep_info.platform_device_id, deployment_id)

        log.debug("test_create_deployment: created deployment id: %s ", str(deployment_id) )

        ret = DotDict(instrument_device_id=instrument_device_id,
                      platform_device_id=platform_device_id,
                      deployment_id=deployment_id)

        return ret

    #@unittest.skip("targeting")
    def test_activate_deployment_normal(self):

        res = self.base_activate_deployment(make_assigns=True)

        before_activate_instrument_device_obj = self.rrclient.read(res.instrument_device_id)
        self.assertNotEquals(before_activate_instrument_device_obj.lcstate, LCS.DEPLOYED)

        log.debug("activating deployment, expecting success")
        self.omsclient.activate_deployment(res.deployment_id)

        # OOIION-1239: retrieve the extended resource and validate that only two sites are in the list of portals
        extended_deployment = self.omsclient.get_deployment_extension(res.deployment_id)
        self.assertEquals( len(extended_deployment.computed.portals.value), 2)

        def assertGeospatialBoundsEquals(a, b):
            self.assertEquals(a['geospatial_latitude_limit_north'],b['geospatial_latitude_limit_north'])
            self.assertEquals(a['geospatial_latitude_limit_south'],b['geospatial_latitude_limit_south'])
            self.assertEquals(a['geospatial_longitude_limit_west'],b['geospatial_longitude_limit_west'])
            self.assertEquals(a['geospatial_longitude_limit_east'],b['geospatial_longitude_limit_east'])

        def assertGeospatialBoundsNotEquals(a, b):
            self.assertNotEquals(a['geospatial_latitude_limit_north'],b['geospatial_latitude_limit_north'])
            self.assertNotEquals(a['geospatial_latitude_limit_south'],b['geospatial_latitude_limit_south'])
            self.assertNotEquals(a['geospatial_longitude_limit_west'],b['geospatial_longitude_limit_west'])
            self.assertNotEquals(a['geospatial_longitude_limit_east'],b['geospatial_longitude_limit_east'])

        after_activate_instrument_device_obj = self.rrclient.read(res.instrument_device_id)
        assertGeospatialBoundsNotEquals(before_activate_instrument_device_obj.geospatial_bounds,after_activate_instrument_device_obj.geospatial_bounds)

        deployment_obj = self.RR2.read(res.deployment_id)
        self.assertEquals(deployment_obj.lcstate, LCS.DEPLOYED)

        extended_deployment = self.omsclient.get_deployment_extension(res.deployment_id)
        # two sites in this test
        self.assertEquals(len(extended_deployment.computed.portals.value), 2)
        # only one portal instrument
        self.assertEquals(len(extended_deployment.portal_instruments), 1)

        log.debug("deactivatin deployment, expecting success")
        self.omsclient.deactivate_deployment(res.deployment_id)

        after_deactivate_instrument_device_obj = self.rrclient.read(res.instrument_device_id)
        assertGeospatialBoundsNotEquals(after_activate_instrument_device_obj.geospatial_bounds, after_deactivate_instrument_device_obj.geospatial_bounds)

        deployment_obj = self.RR2.read(res.deployment_id)
        self.assertEquals(deployment_obj.lcstate, LCS.INTEGRATED)

    def test_activate_deployment_redeploy(self):
        dep_util = DeploymentUtil(self.container)
        res = self.base_activate_deployment(make_assigns=True)

        log.debug("activating first deployment, expecting success")
        self.omsclient.activate_deployment(res.deployment_id)

        deployment_obj1 = self.RR2.read(res.deployment_id)
        self.assertEquals(deployment_obj1.lcstate, LCS.DEPLOYED)

        next_dep_info = self._create_subsequent_deployment(res)

        deployment_obj2 = self.RR2.read(next_dep_info.deployment_id)
        self.assertNotEquals(deployment_obj2.lcstate, LCS.DEPLOYED)

        log.debug("activating subsequent deployment, expecting success")
        self.omsclient.activate_deployment(next_dep_info.deployment_id)

        deployment_obj1 = self.RR2.read(res.deployment_id)
        self.assertEquals(deployment_obj1.lcstate, LCS.INTEGRATED)

        deployment_obj2 = self.RR2.read(next_dep_info.deployment_id)
        self.assertEquals(deployment_obj2.lcstate, LCS.DEPLOYED)

        dep1_tc = dep_util.get_temporal_constraint(deployment_obj1)
        dep2_tc = dep_util.get_temporal_constraint(deployment_obj2)
        self.assertLessEqual(float(dep1_tc.end_datetime), float(dep2_tc.end_datetime))

        log.debug("deactivating second deployment, expecting success")
        self.omsclient.deactivate_deployment(next_dep_info.deployment_id)

        deployment_obj2 = self.RR2.read(next_dep_info.deployment_id)
        self.assertEquals(deployment_obj2.lcstate, LCS.INTEGRATED)

    #@unittest.skip("targeting")
    def test_activate_deployment_nomodels(self):

        res = self.base_activate_deployment()

        self.omsclient.assign_site_to_deployment(res.platform_site_id, res.deployment_id)
        self.omsclient.assign_device_to_deployment(res.platform_device_id, res.deployment_id)

        log.debug("activating deployment without site+device models, expecting fail")
        self.assert_deploy_fail(res.deployment_id, NotFound, "Expected 1")

        log.debug("assigning instrument site model")
        self.omsclient.assign_instrument_model_to_instrument_site(res.instrument_model_id, res.instrument_site_id)

        log.debug("activating deployment without device models, expecting fail")
        self.assert_deploy_fail(res.deployment_id, NotFound, "Expected 1")

    #@unittest.skip("targeting")
    def test_activate_deployment_nosite(self):

        res = self.base_activate_deployment()

        log.debug("assigning instrument models")
        self.imsclient.assign_instrument_model_to_instrument_device(res.instrument_model_id, res.instrument_device_id)
        self.omsclient.assign_instrument_model_to_instrument_site(res.instrument_model_id, res.instrument_site_id)

        log.debug("deploying instrument device only")
        self.omsclient.assign_device_to_deployment(res.instrument_device_id, res.deployment_id)

        log.debug("activating deployment without instrument site, expecting fail")
        self.assert_deploy_fail(res.deployment_id, BadRequest)

    #@unittest.skip("targeting")
    def test_activate_deployment_nodevice(self):

        res = self.base_activate_deployment()

        log.debug("assigning platform and instrument models")
        self.imsclient.assign_instrument_model_to_instrument_device(res.instrument_model_id, res.instrument_device_id)
        self.omsclient.assign_instrument_model_to_instrument_site(res.instrument_model_id, res.instrument_site_id)

        log.debug("deploying instrument site only")
        self.omsclient.assign_site_to_deployment(res.instrument_site_id, res.deployment_id)

        log.debug("activating deployment without device, expecting fail")
        self.assert_deploy_fail(res.deployment_id, BadRequest, "No devices were found in the deployment")


    def assert_deploy_fail(self, deployment_id, err_type=BadRequest, fail_message=""):
        with self.assertRaises(err_type) as cm:
            self.omsclient.activate_deployment(deployment_id)
            log.debug("assert_deploy_fail cm: %s", str(cm) )
            if fail_message:
                self.assertIn(fail_message, cm.exception.message)

    def test_3x3_matchups_remoteplatform(self):
        self.base_3x3_matchups(IonObject(OT.RemotePlatformDeploymentContext))

    def test_3x3_matchups_cabledinstrument(self):
        self.base_3x3_matchups(IonObject(OT.CabledInstrumentDeploymentContext))

    def test_3x3_matchups_cablednode(self):
        self.base_3x3_matchups(IonObject(OT.CabledNodeDeploymentContext))

    def base_3x3_matchups(self, deployment_context):
        """
        This will be 1 root platform, 3 sub platforms (2 of one model, 1 of another) and 3 sub instruments each (2-to-1)
        """
        deployment_context_type = type(deployment_context).__name__

        instrument_model_id  = [self.RR2.create(any_old(RT.InstrumentModel)) for _ in range(6)]
        platform_model_id    = [self.RR2.create(any_old(RT.PlatformModel)) for _ in range(3)]

        instrument_device_id = [self.RR2.create(any_old(RT.InstrumentDevice)) for _ in range(9)]
        platform_device_id   = [self.RR2.create(any_old(RT.PlatformDevice)) for _ in range(4)]

        instrument_site_id   = [self.RR2.create(any_old(RT.InstrumentSite,
                                                { "reference_designator" : "GA01SUMO-FI003-0%s-CTDMO0999" % (i+1),
                                                    "planned_uplink_port":
                                                     IonObject(OT.PlatformPort,
                                                               reference_designator="GA01SUMO-FI003-0%s-CTDMO0999" % (i+1) )}))
                                for i in range(9)]

        platform_site_id     = [self.RR2.create(any_old(RT.PlatformSite,
                                                {  "reference_designator" : "GA01SUMO-FI003-0%s-CTDMO0888" % (i+1) ,
                                                    "planned_uplink_port":
                                                    IonObject(OT.PlatformPort,
                                                              reference_designator="GA01SUMO-FI003-0%s-CTDMO0888" % (i+1))}))
                                for i in range(4)]



        def instrument_model_at(platform_idx, instrument_idx):
            m = platform_idx * 2
            if instrument_idx > 0:
                m += 1
            return m

        def platform_model_at(platform_idx):
            if platform_idx > 0:
                return 1
            return 0

        def instrument_at(platform_idx, instrument_idx):
            return platform_idx * 3 + instrument_idx

        # set up the structure
        for p in range(3):
            m = platform_model_at(p)
            self.RR2.assign_platform_model_to_platform_site_with_has_model(platform_model_id[m], platform_site_id[p])
            self.RR2.assign_platform_model_to_platform_device_with_has_model(platform_model_id[m], platform_device_id[p])
            self.RR2.assign_platform_device_to_platform_device_with_has_device(platform_device_id[p], platform_device_id[3])
            self.RR2.assign_platform_site_to_platform_site_with_has_site(platform_site_id[p], platform_site_id[3])

            for i in range(3):
                m = instrument_model_at(p, i)
                idx = instrument_at(p, i)
                self.RR2.assign_instrument_model_to_instrument_site_with_has_model(instrument_model_id[m], instrument_site_id[idx])
                self.RR2.assign_instrument_model_to_instrument_device_with_has_model(instrument_model_id[m], instrument_device_id[idx])
                self.RR2.assign_instrument_device_to_platform_device_with_has_device(instrument_device_id[idx], platform_device_id[p])
                self.RR2.assign_instrument_site_to_platform_site_with_has_site(instrument_site_id[idx], platform_site_id[p])

        # top level models
        self.RR2.assign_platform_model_to_platform_device_with_has_model(platform_model_id[2], platform_device_id[3])
        self.RR2.assign_platform_model_to_platform_site_with_has_model(platform_model_id[2], platform_site_id[3])



        # verify structure
        for p in range(3):
            parent_id = self.RR2.find_platform_device_id_by_platform_device_using_has_device(platform_device_id[p])
            self.assertEqual(platform_device_id[3], parent_id)

            parent_id = self.RR2.find_platform_site_id_by_platform_site_using_has_site(platform_site_id[p])
            self.assertEqual(platform_site_id[3], parent_id)

        for i in range(len(platform_site_id)):
            self.assertEqual(self.RR2.find_platform_model_of_platform_device_using_has_model(platform_device_id[i]),
                             self.RR2.find_platform_model_of_platform_site_using_has_model(platform_site_id[i]))

        for i in range(len(instrument_site_id)):
            self.assertEqual(self.RR2.find_instrument_model_of_instrument_device_using_has_model(instrument_device_id[i]),
                             self.RR2.find_instrument_model_of_instrument_site_using_has_model(instrument_site_id[i]))


        # OOIReferenceDesignator format: GA01SUMO-FI003-03-CTDMO0999  (site-platform_id-port-device_id)

        port_assignments = {}
        for p in range(3):
            ref_desig = "GA01SUMO-FI003-0%s-CTDMO0888" % (p+1)
            pp_obj = IonObject(OT.PlatformPort, reference_designator=ref_desig, port_type= PortTypeEnum.PAYLOAD, ip_address=str(p) )
            port_assignments[platform_device_id[p]] = pp_obj
            for i in range(3):
                ref_desig = "GA01SUMO-FI003-0%s-CTDMO0999" % ((p*3)+i+1)
                pp_obj = IonObject(OT.PlatformPort, reference_designator=ref_desig, port_type= PortTypeEnum.PAYLOAD, ip_address=str(p) )
                idx = instrument_at(p, i)
                port_assignments[instrument_device_id[idx]] = pp_obj

        deployment_id = self.RR2.create(any_old(RT.Deployment,
                {"context": deployment_context,
                 "port_assignments": port_assignments}))


        log.debug("assigning device/site to %s deployment", deployment_context_type)
        if OT.RemotePlatformDeploymentContext == deployment_context_type:
            self.RR2.assign_deployment_to_platform_device_with_has_deployment(deployment_id, platform_device_id[3])
            self.RR2.assign_deployment_to_platform_site_with_has_deployment(deployment_id, platform_site_id[3])

        elif OT.CabledInstrumentDeploymentContext == deployment_context_type:
            self.RR2.assign_deployment_to_instrument_device_with_has_deployment(deployment_id, instrument_device_id[1])
            self.RR2.assign_deployment_to_instrument_site_with_has_deployment(deployment_id, instrument_site_id[1])

        elif OT.CabledNodeDeploymentContext == deployment_context_type:
            self.RR2.assign_deployment_to_platform_device_with_has_deployment(deployment_id, platform_device_id[1])
            self.RR2.assign_deployment_to_platform_site_with_has_deployment(deployment_id, platform_site_id[1])

        log.debug("activation of %s deployment", deployment_context_type)
        self.omsclient.activate_deployment(deployment_id)

        log.debug("validation of %s deployment", deployment_context_type)
        if OT.RemotePlatformDeploymentContext == deployment_context_type:
            # verify proper associations
            for i, d in enumerate(platform_device_id):
                self.assertEqual(d, self.RR2.find_platform_device_id_of_platform_site_using_has_device(platform_site_id[i]))

            for i, d in enumerate(instrument_device_id):
                self.assertEqual(d, self.RR2.find_instrument_device_id_of_instrument_site_using_has_device(instrument_site_id[i]))

        elif OT.CabledInstrumentDeploymentContext == deployment_context_type:
            self.assertEqual(instrument_device_id[1],
                             self.RR2.find_instrument_device_id_of_instrument_site_using_has_device(instrument_site_id[1]))

        elif OT.CabledNodeDeploymentContext == deployment_context_type:
            expected_platforms = [1]

            # verify proper associations
            for i, d in enumerate(platform_device_id):
                self.assertEqual(i in expected_platforms,
                                 d in self.RR2.find_platform_device_ids_of_platform_site_using_has_device(platform_site_id[i]))
class TestIntDataProcessManagementService(IonIntegrationTestCase):

    def setUp(self):
        # Start container
        self._start_container()

        # Establish endpoint with container
        container_client = ContainerAgentClient(node=self.container.node, name=self.container.name)
        #print 'got CC client'
        container_client.start_rel_from_url('res/deploy/r2sa.yml')


        # Now create client to DataProcessManagementService
        self.Processclient = DataProcessManagementServiceClient(node=self.container.node)
        self.RRclient = ResourceRegistryServiceClient(node=self.container.node)
        self.DAMSclient = DataAcquisitionManagementServiceClient(node=self.container.node)
        self.DPMSclient = DataProductManagementServiceClient(node=self.container.node)
        self.PubSubClient = PubsubManagementServiceClient(node=self.container.node)

    def test_createDataProcess(self):


        #-------------------------------
        # Data Process Definition
        #-------------------------------
        log.debug("TestIntDataProcessManagementService: create data process definition")
        dpd_obj = IonObject(RT.DataProcessDefinition,
                            name='data_process_definition',
                            description='some new dpd',
                            module='ion.processes.data.transforms.transform_example',
                            class_name='TransformExample',
                            process_source='some_source_reference')
        try:
            dprocdef_id = self.Processclient.create_data_process_definition(dpd_obj)
        except BadRequest as ex:
            self.fail("failed to create new data process definition: %s" %ex)


        # test Data Process Definition creation in rr
        dprocdef_obj = self.Processclient.read_data_process_definition(dprocdef_id)
        self.assertEquals(dprocdef_obj.name,'data_process_definition')

        # Create an input instrument
        instrument_obj = IonObject(RT.InstrumentDevice, name='Inst1',description='an instrument that is creating the data product')
        instrument_id, rev = self.RRclient.create(instrument_obj)

        # Register the instrument so that the data producer and stream object are created
        data_producer_id = self.DAMSclient.register_instrument(instrument_id)
        log.debug("TestIntDataProcessManagementService  data_producer_id %s" % data_producer_id)



        #-------------------------------
        # Input Data Product
        #-------------------------------
        log.debug("TestIntDataProcessManagementService: create input data product")
        input_dp_obj = IonObject(RT.DataProduct, name='InputDataProduct', description='some new dp')
        try:
            input_dp_id = self.DPMSclient.create_data_product(input_dp_obj, instrument_id)
        except BadRequest as ex:
            self.fail("failed to create new input data product: %s" %ex)

        # Retrieve the stream via the DataProduct->Stream associations
        stream_ids, _ = self.RRclient.find_objects(input_dp_id, PRED.hasStream, None, True)

        log.debug("TestIntDataProcessManagementService: in stream_ids "   +  str(stream_ids))
        self.in_stream_id = stream_ids[0]
        log.debug("TestIntDataProcessManagementService: Input Stream: "   +  str( self.in_stream_id))

        #-------------------------------
        # Output Data Product
        #-------------------------------
        log.debug("TestIntDataProcessManagementService: create output data product")
        output_dp_obj = IonObject(RT.DataProduct, name='OutDataProduct',description='transform output')
        output_dp_id = self.DPMSclient.create_data_product(output_dp_obj)

        # this will NOT create a stream for the product becuase the data process (source) resource has not been created yet.

        #-------------------------------
        # Create the data process
        #-------------------------------
        log.debug("TestIntDataProcessManagementService: create_data_process start")
        try:
            dproc_id = self.Processclient.create_data_process(dprocdef_id, input_dp_id, output_dp_id)
        except BadRequest as ex:
            self.fail("failed to create new data process: %s" %ex)

        self.DAMSclient.assign_data_product(dproc_id, output_dp_id, False)

        log.debug("TestIntDataProcessManagementService: create_data_process return")

        #-------------------------------
        # Producer (Sample Input)
        #-------------------------------
        # Create a producing example process
        # cheat to make a publisher object to send messages in the test.
        # it is really hokey to pass process=self.cc but it works
        #stream_route = self.PubSubClient.register_producer(exchange_name='producer_doesnt_have_a_name1', stream_id=self.in_stream_id)
        #self.ctd_stream1_publisher = StreamPublisher(node=self.container.node, name=('science_data',stream_route.routing_key), process=self.container)


        pid = self.container.spawn_process(name='dummy_process_for_test',
            module='pyon.ion.process',
            cls='SimpleProcess',
            config={})
        dummy_process = self.container.proc_manager.procs[pid]

        publisher_registrar = StreamPublisherRegistrar(process=dummy_process, node=self.container.node)
        self.ctd_stream1_publisher = publisher_registrar.create_publisher(stream_id=self.in_stream_id)

        msg = {'num':'3'}
        self.ctd_stream1_publisher.publish(msg)

        time.sleep(1)

        msg = {'num':'5'}
        self.ctd_stream1_publisher.publish(msg)

        time.sleep(1)

        msg = {'num':'9'}
        self.ctd_stream1_publisher.publish(msg)

        # See /tmp/transform_output for results.....

        # clean up the data process
        try:
            self.Processclient.delete_data_process(dproc_id)
        except BadRequest as ex:
            self.fail("failed to create new data process definition: %s" %ex)

        with self.assertRaises(NotFound) as e:
            self.Processclient.read_data_process(dproc_id)

        try:
            self.Processclient.delete_data_process_definition(dprocdef_id)
        except BadRequest as ex:
            self.fail("failed to create new data process definition: %s" %ex)

        with self.assertRaises(NotFound) as e:
            self.Processclient.read_data_process_definition(dprocdef_id)
Example #10
0
class CtdTransformsIntTest(IonIntegrationTestCase):
    def setUp(self):
        super(CtdTransformsIntTest, self).setUp()

        self._start_container()
        self.container.start_rel_from_url('res/deploy/r2deploy.yml')

        self.pubsub            = PubsubManagementServiceClient()
        self.process_dispatcher = ProcessDispatcherServiceClient()
        self.dataset_management = DatasetManagementServiceClient()
        self.data_process_management = DataProcessManagementServiceClient()
        self.dataproduct_management = DataProductManagementServiceClient()
        self.resource_registry = ResourceRegistryServiceClient()

        # This is for the time values inside the packets going into the transform
        self.i = 0

        # Cleanup of queue created by the subscriber
        self.queue_cleanup = []
        self.data_process_cleanup = []

    def _create_input_param_dict_for_test(self, parameter_dict_name = ''):

        pdict = ParameterDictionary()

        t_ctxt = ParameterContext('time', param_type=QuantityType(value_encoding=numpy.dtype('float64')))
        t_ctxt.axis = AxisTypeEnum.TIME
        t_ctxt.uom = 'seconds since 01-01-1900'
        pdict.add_context(t_ctxt)

        cond_ctxt = ParameterContext('conductivity', param_type=QuantityType(value_encoding=numpy.dtype('float32')))
        cond_ctxt.uom = ''
        pdict.add_context(cond_ctxt)

        pres_ctxt = ParameterContext('pressure', param_type=QuantityType(value_encoding=numpy.dtype('float32')))
        pres_ctxt.uom = ''
        pdict.add_context(pres_ctxt)

        if parameter_dict_name == 'input_param_dict':
            temp_ctxt = ParameterContext('temperature', param_type=QuantityType(value_encoding=numpy.dtype('float32')))
        else:
            temp_ctxt = ParameterContext('temp', param_type=QuantityType(value_encoding=numpy.dtype('float32')))

        temp_ctxt.uom = ''
        pdict.add_context(temp_ctxt)

        dens_ctxt = ParameterContext('density', param_type=QuantityType(value_encoding=numpy.dtype('float32')))
        dens_ctxt.uom = ''
        pdict.add_context(dens_ctxt)

        sal_ctxt = ParameterContext('salinity', param_type=QuantityType(value_encoding=numpy.dtype('float32')))
        sal_ctxt.uom = ''
        pdict.add_context(sal_ctxt)

        #create temp streamdef so the data product can create the stream
        pc_list = []
        for pc_k, pc in pdict.iteritems():
            ctxt_id = self.dataset_management.create_parameter_context(pc_k, pc[1].dump())
            pc_list.append(ctxt_id)
            if parameter_dict_name == 'input_param_dict':
                self.addCleanup(self.dataset_management.delete_parameter_context,ctxt_id)
            elif  parameter_dict_name == 'output_param_dict' and pc[1].name == 'temp':
                self.addCleanup(self.dataset_management.delete_parameter_context,ctxt_id)

        pdict_id = self.dataset_management.create_parameter_dictionary(parameter_dict_name, pc_list)
        self.addCleanup(self.dataset_management.delete_parameter_dictionary, pdict_id)

        return pdict_id

    def _get_new_ctd_L0_packet(self, stream_definition_id, length):

        rdt = RecordDictionaryTool(stream_definition_id=stream_definition_id)
        rdt['time'] = numpy.arange(self.i, self.i+length)

        for field in rdt:
            if isinstance(rdt._pdict.get_context(field).param_type, QuantityType):
                rdt[field] = numpy.array([random.uniform(0.0,75.0)  for i in xrange(length)])

        g = rdt.to_granule()
        self.i+=length

        return g

    def _create_calibration_coefficients_dict(self):
        config = DotDict()
        config.process.calibration_coeffs =  {
              'temp_calibration_coeffs': {
                  'TA0' : 1.561342e-03,
                  'TA1' : 2.561486e-04,
                  'TA2' : 1.896537e-07,
                  'TA3' : 1.301189e-07,
                  'TOFFSET' : 0.000000e+00
              },

              'cond_calibration_coeffs':  {
                  'G' : -9.896568e-01,
                  'H' : 1.316599e-01,
                  'I' : -2.213854e-04,
                  'J' : 3.292199e-05,
                  'CPCOR' : -9.570000e-08,
                  'CTCOR' : 3.250000e-06,
                  'CSLOPE' : 1.000000e+00
              },

              'pres_calibration_coeffs' : {
                  'PA0' : 4.960417e-02,
                  'PA1' : 4.883682e-04,
                  'PA2' : -5.687309e-12,
                  'PTCA0' : 5.249802e+05,
                  'PTCA1' : 7.595719e+00,
                  'PTCA2' : -1.322776e-01,
                  'PTCB0' : 2.503125e+01,
                  'PTCB1' : 5.000000e-05,
                  'PTCB2' : 0.000000e+00,
                  'PTEMPA0' : -6.431504e+01,
                  'PTEMPA1' : 5.168177e+01,
                  'PTEMPA2' : -2.847757e-01,
                  'POFFSET' : 0.000000e+00
              }

          }

        return config

    def clean_queues(self):
        for queue in self.queue_cleanup:
            xn = self.container.ex_manager.create_xn_queue(queue)
            xn.delete()

    def cleaning_operations(self):
        for dproc_id in self.data_process_cleanup:
            self.data_process_management.delete_data_process(dproc_id)

    def test_ctd_L1_all(self):
        """
        Test that packets are processed by the ctd_L1_all transform
        """

        #----------- Data Process Definition --------------------------------

        dpd_obj = IonObject(RT.DataProcessDefinition,
            name='CTDBP_L1_Transform',
            description='Take granules on the L0 stream which have the C, T and P data and separately apply algorithms and output on the L1 stream.',
            module='ion.processes.data.transforms.ctdbp.ctdbp_L1',
            class_name='CTDBP_L1_Transform')

        dprocdef_id = self.data_process_management.create_data_process_definition(dpd_obj)
        self.addCleanup(self.data_process_management.delete_data_process_definition, dprocdef_id)

        log.debug("created data process definition: id = %s", dprocdef_id)

        #----------- Data Products --------------------------------

        # Construct temporal and spatial Coordinate Reference System objects
        tdom, sdom = time_series_domain()

        sdom = sdom.dump()
        tdom = tdom.dump()

        # Get the stream definition for the stream using the parameter dictionary
        L0_pdict_id = self._create_input_param_dict_for_test(parameter_dict_name = 'input_param_dict')

        L0_stream_def_id = self.pubsub.create_stream_definition(name='parsed', parameter_dictionary_id=L0_pdict_id)
        self.addCleanup(self.pubsub.delete_stream_definition, L0_stream_def_id)

        L1_pdict_id = self._create_input_param_dict_for_test(parameter_dict_name = 'output_param_dict')
        L1_stream_def_id = self.pubsub.create_stream_definition(name='L1_out', parameter_dictionary_id=L1_pdict_id)
        self.addCleanup(self.pubsub.delete_stream_definition, L1_stream_def_id)


        log.debug("Got the parsed parameter dictionary: id: %s", L0_pdict_id)
        log.debug("Got the stream def for parsed input: %s", L0_stream_def_id)

        log.debug("got the stream def for the output: %s", L1_stream_def_id)

        # Input data product
        L0_stream_dp_obj = IonObject(RT.DataProduct,
            name='L0_stream',
            description='L0 stream input to CTBP L1 transform',
            temporal_domain = tdom,
            spatial_domain = sdom)

        input_dp_id = self.dataproduct_management.create_data_product(data_product=L0_stream_dp_obj,
            stream_definition_id=L0_stream_def_id
        )
        self.addCleanup(self.dataproduct_management.delete_data_product, input_dp_id)

        # output data product
        L1_stream_dp_obj = IonObject(RT.DataProduct,
            name='L1_stream',
            description='L1_stream output of CTBP L1 transform',
            temporal_domain = tdom,
            spatial_domain = sdom)

        L1_stream_dp_id = self.dataproduct_management.create_data_product(data_product=L1_stream_dp_obj,
            stream_definition_id=L1_stream_def_id
        )
        self.addCleanup(self.dataproduct_management.delete_data_product, L1_stream_dp_id)

        # We need the key name here to be "L1_stream", since when the data process is launched, this name goes into
        # the config as in config.process.publish_streams.L1_stream when the config is used to launch the data process
        self.output_products = {'L1_stream' : L1_stream_dp_id}
        out_stream_ids, _ = self.resource_registry.find_objects(L1_stream_dp_id, PRED.hasStream, RT.Stream, True)
        self.assertTrue(len(out_stream_ids))
        output_stream_id = out_stream_ids[0]

        config = self._create_calibration_coefficients_dict()
        dproc_id = self.data_process_management.create_data_process( dprocdef_id, [input_dp_id], self.output_products, config)
        self.addCleanup(self.data_process_management.delete_data_process, dproc_id)
        log.debug("Created a data process for ctdbp_L1. id: %s", dproc_id)

        # Activate the data process
        self.data_process_management.activate_data_process(dproc_id)
        self.addCleanup(self.data_process_management.deactivate_data_process, dproc_id)

        #----------- Find the stream that is associated with the input data product when it was created by create_data_product() --------------------------------

        stream_ids, _ = self.resource_registry.find_objects(input_dp_id, PRED.hasStream, RT.Stream, True)

        input_stream_id = stream_ids[0]
        input_stream = self.resource_registry.read(input_stream_id)
        stream_route = input_stream.stream_route

        log.debug("The input stream for the L1 transform: %s", input_stream_id)

        #----------- Create a subscriber that will listen to the transform's output --------------------------------

        ar = gevent.event.AsyncResult()
        def subscriber(m,r,s):
            ar.set(m)

        sub = StandaloneStreamSubscriber(exchange_name='sub', callback=subscriber)

        sub_id = self.pubsub.create_subscription('subscriber_to_transform',
            stream_ids=[output_stream_id],
            exchange_name='sub')
        self.addCleanup(self.pubsub.delete_subscription, sub_id)

        self.pubsub.activate_subscription(sub_id)
        self.addCleanup(self.pubsub.deactivate_subscription, sub_id)


        sub.start()
        self.addCleanup(sub.stop)

        #----------- Publish on that stream so that the transform can receive it --------------------------------

        pub = StandaloneStreamPublisher(input_stream_id, stream_route)
        publish_granule = self._get_new_ctd_L0_packet(stream_definition_id=L0_stream_def_id, length = 5)

        pub.publish(publish_granule)

        log.debug("Published the following granule: %s", publish_granule)

        granule_from_transform = ar.get(timeout=20)

        log.debug("Got the following granule from the transform: %s", granule_from_transform)

        # Check that the granule published by the L1 transform has the right properties
        self._check_granule_from_transform(granule_from_transform)


    def _check_granule_from_transform(self, granule):
        """
        An internal method to check if a granule has the right properties
        """

        rdt = RecordDictionaryTool.load_from_granule(granule)
        self.assertIn('pressure', rdt)
        self.assertIn('temp', rdt)
        self.assertIn('conductivity', rdt)
        self.assertIn('time', rdt)
class TestIMSDeployAsPrimaryDevice(IonIntegrationTestCase):

    def setUp(self):
        # Start container
        self._start_container()

        #self.container.start_rel_from_url('res/deploy/r2deploy.yml')
        self.container.start_rel_from_url('res/deploy/r2deploy.yml')

        print 'started services'

        # Now create client to DataProductManagementService
        self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
        self.damsclient = DataAcquisitionManagementServiceClient(node=self.container.node)
        self.pubsubclient =  PubsubManagementServiceClient(node=self.container.node)
        self.ingestclient = IngestionManagementServiceClient(node=self.container.node)
        self.imsclient = InstrumentManagementServiceClient(node=self.container.node)
        self.dataproductclient = DataProductManagementServiceClient(node=self.container.node)
        self.dataprocessclient = DataProcessManagementServiceClient(node=self.container.node)
        self.datasetclient =  DatasetManagementServiceClient(node=self.container.node)
        self.omsclient = ObservatoryManagementServiceClient(node=self.container.node)
        self.processdispatchclient = ProcessDispatcherServiceClient(node=self.container.node)
        self.dataset_management = DatasetManagementServiceClient()

        # create missing data process definition
        dpd_obj = IonObject(RT.DataProcessDefinition,
                            name=LOGICAL_TRANSFORM_DEFINITION_NAME,
                            description="normally in preload",
                            module='ion.processes.data.transforms.logical_transform',
                            class_name='logical_transform')
        self.dataprocessclient.create_data_process_definition(dpd_obj)

        # deactivate all data processes when tests are complete
        def killAllDataProcesses():
            for proc_id in self.rrclient.find_resources(RT.DataProcess, None, None, True)[0]:
                self.dataprocessclient.deactivate_data_process(proc_id)
                self.dataprocessclient.delete_data_process(proc_id)
        self.addCleanup(killAllDataProcesses)


    def create_logger(self, name, stream_id=''):

        # logger process
        producer_definition = ProcessDefinition(name=name+'_logger')
        producer_definition.executable = {
            'module':'ion.processes.data.stream_granule_logger',
            'class':'StreamGranuleLogger'
        }

        logger_procdef_id = self.processdispatchclient.create_process_definition(process_definition=producer_definition)
        configuration = {
            'process':{
                'stream_id':stream_id,
                }
        }
        pid = self.processdispatchclient.schedule_process(process_definition_id=logger_procdef_id,
            configuration=configuration)

        return pid

    def cleanupprocs(self):
       stm = os.popen('ps -e | grep ion.agents.port.logger_process')
       procs = stm.read()
       if len(procs) > 0:
           procs = procs.split()
           if procs[0].isdigit():
               pid = int(procs[0])
               os.kill(pid,signal.SIGKILL)
       stm = os.popen('ps -e | grep ion.agents.instrument.zmq_driver_process')
       procs = stm.read()
       if len(procs) > 0:
           procs = procs.split()
           if procs[0].isdigit():
               pid = int(procs[0])
               os.kill(pid,signal.SIGKILL)
#       stm = os.popen('rm /tmp/*.pid.txt')


    @unittest.skip ("Deprecated by IngestionManagement refactor, timeout on start inst agent?")
    def test_deploy_activate_full(self):

        # ensure no processes or pids are left around by agents or Sims
        #self.cleanupprocs()

        self.loggerpids = []

        #-------------------------------
        # Create InstrumentModel
        #-------------------------------
        instModel_obj = IonObject(RT.InstrumentModel, name='SBE37IMModel', description="SBE37IMModel")
        try:
            instModel_id = self.imsclient.create_instrument_model(instModel_obj)
        except BadRequest as ex:
            self.fail("failed to create new InstrumentModel: %s" %ex)


        #-------------------------------
        # Create InstrumentAgent
        #-------------------------------
        instAgent_obj = IonObject(RT.InstrumentAgent,
            name='agent007',
            description="SBE37IMAgent",
            driver_uri="http://sddevrepo.oceanobservatories.org/releases/seabird_sbe37smb_ooicore-0.0.1-py2.7.egg")
            
        try:
            instAgent_id = self.imsclient.create_instrument_agent(instAgent_obj)
        except BadRequest as ex:
            self.fail("failed to create new InstrumentAgent: %s" %ex)
        log.debug( 'new InstrumentAgent id = %s', instAgent_id)

        self.imsclient.assign_instrument_model_to_instrument_agent(instModel_id, instAgent_id)


        #-------------------------------
        # Create Instrument Site
        #-------------------------------
        instrumentSite_obj = IonObject(RT.InstrumentSite, name='instrumentSite1', description="SBE37IMInstrumentSite" )
        try:
            instrumentSite_id = self.omsclient.create_instrument_site(instrument_site=instrumentSite_obj, parent_id='')
        except BadRequest as ex:
            self.fail("failed to create new InstrumentSite: %s" %ex)
        print 'test_deployAsPrimaryDevice: new instrumentSite id = ', instrumentSite_id

        self.omsclient.assign_instrument_model_to_instrument_site(instModel_id, instrumentSite_id)



        #-------------------------------
        # Logical Transform: Output Data Products
        #-------------------------------

        # Construct temporal and spatial Coordinate Reference System objects
        tdom, sdom = time_series_domain()

        sdom = sdom.dump()
        tdom = tdom.dump()

        parsed_pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
        parsed_stream_def_id = self.pubsubclient.create_stream_definition(name='parsed', parameter_dictionary_id=parsed_pdict_id)

        raw_pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_raw_param_dict', id_only=True)
        raw_stream_def_id = self.pubsubclient.create_stream_definition(name='raw', parameter_dictionary_id=raw_pdict_id)

        #-------------------------------
        # Create Old InstrumentDevice
        #-------------------------------
        instDevice_obj = IonObject(RT.InstrumentDevice, name='SBE37IMDeviceYear1',
            description="SBE37IMDevice for the FIRST year of deployment",
            serial_number="12345" )
        try:
            oldInstDevice_id = self.imsclient.create_instrument_device(instrument_device=instDevice_obj)
            self.imsclient.assign_instrument_model_to_instrument_device(instModel_id, oldInstDevice_id)
        except BadRequest as ex:
            self.fail("failed to create new InstrumentDevice: %s" %ex)

        print 'test_deployAsPrimaryDevice: new Year 1 InstrumentDevice id = ', oldInstDevice_id

        self.rrclient.execute_lifecycle_transition(oldInstDevice_id, LCE.DEPLOY)
        self.rrclient.execute_lifecycle_transition(oldInstDevice_id, LCE.ENABLE)

        #-------------------------------
        # Create Raw and Parsed Data Products for the device
        #-------------------------------

        dp_obj = IonObject(RT.DataProduct,
            name='SiteDataProduct',
            description='SiteDataProduct',
            temporal_domain = tdom,
            spatial_domain = sdom)

        instrument_site_output_dp_id = self.dataproductclient.create_data_product(data_product=dp_obj, stream_definition_id=parsed_stream_def_id)

        self.damsclient.assign_data_product(input_resource_id=oldInstDevice_id, data_product_id=instrument_site_output_dp_id)

        #self.dataproductclient.activate_data_product_persistence(data_product_id=instrument_site_output_dp_id)

        # Retrieve the id of the OUTPUT stream from the out Data Product
        stream_ids, _ = self.rrclient.find_objects(instrument_site_output_dp_id, PRED.hasStream, None, True)
        log.debug( 'Data product streams1 = %s', stream_ids)

        # Retrieve the id of the OUTPUT stream from the out Data Product
        dataset_ids, _ = self.rrclient.find_objects(instrument_site_output_dp_id, PRED.hasDataset, RT.Dataset, True)
        log.debug( 'Data set for data_product_id1 = %s', dataset_ids[0])
        self.parsed_dataset = dataset_ids[0]

        pid = self.create_logger('ctd_parsed', stream_ids[0] )
        self.loggerpids.append(pid)

        self.omsclient.create_site_data_product(instrumentSite_id, instrument_site_output_dp_id)


        #-------------------------------
        # Create Old Deployment
        #-------------------------------
        deployment_obj = IonObject(RT.Deployment, name='first deployment')

        oldDeployment_id = self.omsclient.create_deployment(deployment_obj)

        # deploy this device to the logical slot
        self.imsclient.deploy_instrument_device(oldInstDevice_id, oldDeployment_id)
        self.omsclient.deploy_instrument_site(instrumentSite_id, oldDeployment_id)



        #-------------------------------
        # Create InstrumentAgentInstance for OldInstrumentDevice to hold configuration information
        # cmd_port=5556, evt_port=5557, comms_method="ethernet", comms_device_address=CFG.device.sbe37.host, comms_device_port=CFG.device.sbe37.port,
        #-------------------------------

        port_agent_config = {
            'device_addr':  CFG.device.sbe37.host,
            'device_port':  CFG.device.sbe37.port,
            'process_type': PortAgentProcessType.UNIX,
            'binary_path': "port_agent",
            'port_agent_addr': 'localhost',
            'command_port': CFG.device.sbe37.port_agent_cmd_port,
            'data_port': CFG.device.sbe37.port_agent_data_port,
            'log_level': 5,
            'type': PortAgentType.ETHERNET
        }

        raw_config = StreamConfiguration(stream_name='raw', parameter_dictionary_name='ctd_raw_param_dict', records_per_granule=2, granule_publish_rate=5 )
        parsed_config = StreamConfiguration(stream_name='parsed', parameter_dictionary_name='ctd_parsed_param_dict', records_per_granule=2, granule_publish_rate=5 )

        instAgentInstance_obj = IonObject(RT.InstrumentAgentInstance, name='SBE37IMAgentInstanceYear1',
            description="SBE37IMAgentInstanceYear1",
            port_agent_config = port_agent_config,
            stream_configurations = [raw_config, parsed_config])


        oldInstAgentInstance_id = self.imsclient.create_instrument_agent_instance(instAgentInstance_obj,
            instAgent_id,
            oldInstDevice_id)


        tdom, sdom = time_series_domain()
        sdom = sdom.dump()
        tdom = tdom.dump()

        #-------------------------------
        # Create CTD Parsed as the Year 1 data product and attach to instrument
        #-------------------------------

        print 'Creating new CDM data product with a stream definition'

        dp_obj = IonObject(RT.DataProduct,
            name='ctd_parsed_year1',
            description='ctd stream test year 1',
            temporal_domain = tdom,
            spatial_domain = sdom)

        ctd_parsed_data_product_year1 = self.dataproductclient.create_data_product(data_product=dp_obj, stream_definition_id=parsed_stream_def_id)


        print 'new ctd_parsed_data_product_id = ', ctd_parsed_data_product_year1

        self.damsclient.assign_data_product(input_resource_id=oldInstDevice_id,
                                            data_product_id=ctd_parsed_data_product_year1)

        # Retrieve the id of the OUTPUT stream from the out Data Product
        stream_ids, _ = self.rrclient.find_objects(ctd_parsed_data_product_year1, PRED.hasStream, None, True)
        print 'test_deployAsPrimaryDevice: Data product streams1 = ', stream_ids

        #-------------------------------
        # Create New InstrumentDevice
        #-------------------------------
        instDevice_obj_2 = IonObject(RT.InstrumentDevice,
                                     name='SBE37IMDeviceYear2',
                                     description="SBE37IMDevice for the SECOND year of deployment",
                                     serial_number="67890" )
        try:
            newInstDevice_id = self.imsclient.create_instrument_device(instrument_device=instDevice_obj_2)
            self.imsclient.assign_instrument_model_to_instrument_device(instModel_id, newInstDevice_id)
        except BadRequest as ex:
            self.fail("failed to create new InstrumentDevice: %s" %ex)

        print 'test_deployAsPrimaryDevice: new  Year 2 InstrumentDevice id = ', newInstDevice_id

        #set the LCSTATE
        self.rrclient.execute_lifecycle_transition(newInstDevice_id, LCE.DEPLOY)
        self.rrclient.execute_lifecycle_transition(newInstDevice_id, LCE.ENABLE)

        instDevice_obj_2 = self.rrclient.read(newInstDevice_id)
        log.debug("test_deployAsPrimaryDevice: Create New InstrumentDevice LCSTATE: %s ",
                  str(instDevice_obj_2.lcstate))




        #-------------------------------
        # Create Old Deployment
        #-------------------------------
        deployment_obj = IonObject(RT.Deployment, name='second deployment')

        newDeployment_id = self.omsclient.create_deployment(deployment_obj)

        # deploy this device to the logical slot
        self.imsclient.deploy_instrument_device(newInstDevice_id, newDeployment_id)
        self.omsclient.deploy_instrument_site(instrumentSite_id, newDeployment_id)


        #-------------------------------
        # Create InstrumentAgentInstance for NewInstrumentDevice to hold configuration information
        #-------------------------------


        port_agent_config = {
            'device_addr': 'sbe37-simulator.oceanobservatories.org',
            'device_port': 4004,
            'process_type': PortAgentProcessType.UNIX,
            'binary_path': "port_agent",
            'port_agent_addr': 'localhost',
            'command_port': 4005,
            'data_port': 4006,
            'log_level': 5,
            'type': PortAgentType.ETHERNET
        }

        instAgentInstance_obj = IonObject(RT.InstrumentAgentInstance, name='SBE37IMAgentInstanceYear2',
            description="SBE37IMAgentInstanceYear2",
            port_agent_config = port_agent_config)


        newInstAgentInstance_id = self.imsclient.create_instrument_agent_instance(instAgentInstance_obj,
            instAgent_id,
            newInstDevice_id)



        #-------------------------------
        # Create CTD Parsed as the Year 2 data product
        #-------------------------------



        dp_obj = IonObject(RT.DataProduct,
            name='ctd_parsed_year2',
            description='ctd stream test year 2',
            temporal_domain = tdom,
            spatial_domain = sdom)

        ctd_parsed_data_product_year2 = self.dataproductclient.create_data_product(data_product=dp_obj, stream_definition_id=parsed_stream_def_id)

        print 'new ctd_parsed_data_product_id = ', ctd_parsed_data_product_year2

        self.damsclient.assign_data_product(input_resource_id=newInstDevice_id,
                                            data_product_id=ctd_parsed_data_product_year2)

        # Retrieve the id of the OUTPUT stream from the out Data Product
        stream_ids, _ = self.rrclient.find_objects(ctd_parsed_data_product_year2, PRED.hasStream, None, True)
        print 'test_deployAsPrimaryDevice: Data product streams2 = ', stream_ids


        #-------------------------------
        # L0 Conductivity - Temperature - Pressure: Data Process Definition
        #-------------------------------
        log.debug("test_deployAsPrimaryDevice: create data process definition ctd_L0_all")
        dpd_obj = IonObject(RT.DataProcessDefinition,
                            name='ctd_L0_all',
                            description='transform ctd package into three separate L0 streams',
                            module='ion.processes.data.transforms.ctd.ctd_L0_all',
                            class_name='ctd_L0_all')
        try:
            ctd_L0_all_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
        except BadRequest as ex:
            self.fail("failed to create new ctd_L0_all data process definition: %s" %ex)


        #-------------------------------
        # L0 Conductivity - Temperature - Pressure: Output Data Products
        #-------------------------------

        outgoing_stream_l0_conductivity_id = self.pubsubclient.create_stream_definition(name='L0_Conductivity', parameter_dictionary_id=parsed_pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_conductivity_id, ctd_L0_all_dprocdef_id, binding='conductivity' )

        outgoing_stream_l0_pressure_id = self.pubsubclient.create_stream_definition(name='L0_Pressure', parameter_dictionary_id=parsed_pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_pressure_id, ctd_L0_all_dprocdef_id, binding='pressure' )

        outgoing_stream_l0_temperature_id = self.pubsubclient.create_stream_definition(name='L0_Temperature', parameter_dictionary_id=parsed_pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_temperature_id, ctd_L0_all_dprocdef_id, binding='temperature' )


        self.out_prod_dict={}
        log.debug("test_deployAsPrimaryDevice: create output data product L0 conductivity")

        ctd_l0_conductivity_output_dp_obj = IonObject(RT.DataProduct,
            name='L0_Conductivity',
            description='transform output conductivity',
            temporal_domain = tdom,
            spatial_domain = sdom)

        ctd_l0_conductivity_output_dp_id = self.dataproductclient.create_data_product(data_product=ctd_l0_conductivity_output_dp_obj, stream_definition_id=parsed_stream_def_id)
        self.out_prod_dict['conductivity'] = ctd_l0_conductivity_output_dp_id
        #self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_l0_conductivity_output_dp_id)


        log.debug("test_deployAsPrimaryDevice: create output data product L0 pressure")

        ctd_l0_pressure_output_dp_obj = IonObject(  RT.DataProduct,
                                                    name='L0_Pressure',
                                                    description='transform output pressure',
                                                    temporal_domain = tdom,
                                                    spatial_domain = sdom)

        ctd_l0_pressure_output_dp_id = self.dataproductclient.create_data_product(data_product=ctd_l0_pressure_output_dp_obj, stream_definition_id=parsed_stream_def_id)

        self.out_prod_dict['pressure'] = ctd_l0_pressure_output_dp_id
        #self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_l0_pressure_output_dp_id)

        log.debug("test_deployAsPrimaryDevice: create output data product L0 temperature")

        ctd_l0_temperature_output_dp_obj = IonObject(   RT.DataProduct,
                                                        name='L0_Temperature',
                                                        description='transform output temperature',
                                                        temporal_domain = tdom,
                                                        spatial_domain = sdom)

        ctd_l0_temperature_output_dp_id = self.dataproductclient.create_data_product(data_product=ctd_l0_temperature_output_dp_obj, stream_definition_id=parsed_stream_def_id)

        self.out_prod_dict['temperature'] = ctd_l0_temperature_output_dp_id
        #self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_l0_temperature_output_dp_id)



        #-------------------------------
        # L0 Conductivity - Temperature - Pressure: Create the data process, listening to  Sim1   (later: logical instrument output product)
        #-------------------------------
        log.debug("test_deployAsPrimaryDevice: create L0 all data_process start")
        try:
            out_data_products = self.out_prod_dict.values()
            ctd_l0_all_data_process_id = self.dataprocessclient.create_data_process(ctd_L0_all_dprocdef_id, [ctd_parsed_data_product_year1], out_data_products)
            self.dataprocessclient.activate_data_process(ctd_l0_all_data_process_id)
        except BadRequest as ex:
            self.fail("failed to create new data process: %s" %ex)
        log.debug("test_deployAsPrimaryDevice: create L0 all data_process return")

        #--------------------------------
        # Activate the deployment
        #--------------------------------
        self.omsclient.activate_deployment(oldDeployment_id)


        #-------------------------------
        # Launch InstrumentAgentInstance Sim1, connect to the resource agent client
        #-------------------------------
        self.imsclient.start_instrument_agent_instance(instrument_agent_instance_id=oldInstAgentInstance_id)
        self.addCleanup(self.imsclient.stop_instrument_agent_instance,
                        instrument_agent_instance_id=oldInstAgentInstance_id)

        #wait for start
        instance_obj = self.imsclient.read_instrument_agent_instance(oldInstAgentInstance_id)
        gate = ProcessStateGate(self.processdispatchclient.read_process,
            instance_obj.agent_process_id,
            ProcessStateEnum.RUNNING)
        self.assertTrue(gate.await(30), "The instrument agent instance (%s) did not spawn in 30 seconds" %
                                        instance_obj.agent_process_id)

        inst_agent1_instance_obj= self.imsclient.read_instrument_agent_instance(oldInstAgentInstance_id)
        print 'test_deployAsPrimaryDevice: Instrument agent instance obj: = ', inst_agent1_instance_obj

        # Start a resource agent client to talk with the instrument agent.
        self._ia_client_sim1 = ResourceAgentClient('iaclient Sim1', name=inst_agent1_instance_obj.agent_process_id,  process=FakeProcess())
        print 'activate_instrument: got _ia_client_sim1 %s', self._ia_client_sim1
        log.debug(" test_deployAsPrimaryDevice:: got _ia_client_sim1 %s", str(self._ia_client_sim1))


        #-------------------------------
        # Launch InstrumentAgentInstance Sim2, connect to the resource agent client
        #-------------------------------
        self.imsclient.start_instrument_agent_instance(instrument_agent_instance_id=newInstAgentInstance_id)
        self.addCleanup(self.imsclient.stop_instrument_agent_instance,
                        instrument_agent_instance_id=newInstAgentInstance_id)

        #wait for start
        instance_obj = self.imsclient.read_instrument_agent_instance(newInstAgentInstance_id)
        gate = ProcessStateGate(self.processdispatchclient.read_process,
            instance_obj.agent_process_id,
            ProcessStateEnum.RUNNING)
        self.assertTrue(gate.await(30), "The instrument agent instance (%s) did not spawn in 30 seconds" %
                                        instance_obj.agent_process_id)

        inst_agent2_instance_obj= self.imsclient.read_instrument_agent_instance(newInstAgentInstance_id)
        print 'test_deployAsPrimaryDevice: Instrument agent instance obj: = ', inst_agent2_instance_obj

        # Start a resource agent client to talk with the instrument agent.
        self._ia_client_sim2 = ResourceAgentClient('iaclient Sim2', name=inst_agent2_instance_obj.agent_process_id,  process=FakeProcess())
        print 'activate_instrument: got _ia_client_sim2 %s', self._ia_client_sim2
        log.debug(" test_deployAsPrimaryDevice:: got _ia_client_sim2 %s", str(self._ia_client_sim2))


        #-------------------------------
        # Streaming Sim1 (old instrument)
        #-------------------------------

        cmd = AgentCommand(command=ResourceAgentEvent.INITIALIZE)
        retval = self._ia_client_sim1.execute_agent(cmd)
        log.debug("test_deployAsPrimaryDevice: initialize %s", str(retval))


        log.debug("(L4-CI-SA-RQ-334): Sending go_active command ")
        cmd = AgentCommand(command=ResourceAgentEvent.GO_ACTIVE)
        reply = self._ia_client_sim1.execute_agent(cmd)
        log.debug("test_deployAsPrimaryDevice: return value from go_active %s", str(reply))
        self.assertTrue(reply)

        cmd = AgentCommand(command=ResourceAgentEvent.GET_RESOURCE_STATE)
        retval = self._ia_client_sim1.execute_agent(cmd)
        state = retval.result
        log.debug("(L4-CI-SA-RQ-334): current state after sending go_active command %s", str(state))

        cmd = AgentCommand(command=ResourceAgentEvent.RUN)
        reply = self._ia_client_sim1.execute_agent(cmd)
        log.debug("test_deployAsPrimaryDevice: run %s", str(reply))

        gevent.sleep(2)

        cmd = AgentCommand(command=SBE37ProtocolEvent.START_AUTOSAMPLE)
        retval = self._ia_client_sim1.execute_resource(cmd)
        log.debug("test_activateInstrumentSample: return from START_AUTOSAMPLE: %s", str(retval))


        #-------------------------------
        # Streaming Sim 2 (new instrument)
        #-------------------------------

        cmd = AgentCommand(command=ResourceAgentEvent.INITIALIZE)
        retval = self._ia_client_sim2.execute_agent(cmd)
        log.debug("test_deployAsPrimaryDevice: initialize_sim2 %s", str(retval))


        log.debug("(L4-CI-SA-RQ-334): Sending go_active command ")
        cmd = AgentCommand(command=ResourceAgentEvent.GO_ACTIVE)
        reply = self._ia_client_sim2.execute_agent(cmd)
        log.debug("test_deployAsPrimaryDevice: return value from go_active_sim2 %s", str(reply))

        cmd = AgentCommand(command=ResourceAgentEvent.GET_RESOURCE_STATE)
        retval = self._ia_client_sim2.execute_agent(cmd)
        state = retval.result
        log.debug("(L4-CI-SA-RQ-334): current state after sending go_active_sim2 command %s", str(state))

        cmd = AgentCommand(command=ResourceAgentEvent.RUN)
        reply = self._ia_client_sim2.execute_agent(cmd)
        log.debug("test_deployAsPrimaryDevice: run %s", str(reply))

        gevent.sleep(2)

        cmd = AgentCommand(command=SBE37ProtocolEvent.START_AUTOSAMPLE)
        retval = self._ia_client_sim2.execute_resource(cmd)
        log.debug("test_activateInstrumentSample: return from START_AUTOSAMPLE_sim2: %s", str(retval))

        gevent.sleep(10)


        #-------------------------------
        # Shutdown Sim1 (old instrument)
        #-------------------------------
        cmd = AgentCommand(command=SBE37ProtocolEvent.STOP_AUTOSAMPLE)
        retval = self._ia_client_sim1.execute_resource(cmd)
        log.debug("test_activateInstrumentSample: return from STOP_AUTOSAMPLE: %s", str(retval))

        log.debug("test_activateInstrumentSample: calling reset ")
        cmd = AgentCommand(command=ResourceAgentEvent.RESET)
        reply = self._ia_client_sim1.execute_agent(cmd)
        log.debug("test_activateInstrumentSample: return from reset %s", str(reply))
        time.sleep(5)


        #-------------------------------
        # Shutdown Sim2 (old instrument)
        #-------------------------------
        cmd = AgentCommand(command=SBE37ProtocolEvent.STOP_AUTOSAMPLE)
        retval = self._ia_client_sim2.execute_resource(cmd)
        log.debug("test_activateInstrumentSample: return from STOP_AUTOSAMPLE_sim2: %s", str(retval))

        log.debug("test_activateInstrumentSample: calling reset_sim2 ")
        cmd = AgentCommand(command=ResourceAgentEvent.RESET)
        reply = self._ia_client_sim1.execute_agent(cmd)
        log.debug("test_activateInstrumentSample: return from reset_sim2 %s", str(reply))
        time.sleep(5)
Example #12
0
class TestDeployment(IonIntegrationTestCase):

    def setUp(self):
        # Start container
        self._start_container()
        self.container.start_rel_from_url('res/deploy/r2deploy.yml')

        self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
        self.omsclient = ObservatoryManagementServiceClient(node=self.container.node)
        self.imsclient = InstrumentManagementServiceClient(node=self.container.node)
        self.dmpsclient = DataProductManagementServiceClient(node=self.container.node)
        self.damsclient = DataAcquisitionManagementServiceClient(node=self.container.node)
        self.psmsclient = PubsubManagementServiceClient(node=self.container.node)
        self.dataset_management = DatasetManagementServiceClient()

        self.c = DotDict()
        self.c.resource_registry = self.rrclient
        self.RR2 = EnhancedResourceRegistryClient(self.rrclient)

        # create missing data process definition
        self.dsmsclient = DataProcessManagementServiceClient(node=self.container.node)
        dpd_obj = IonObject(RT.DataProcessDefinition,
                            name=LOGICAL_TRANSFORM_DEFINITION_NAME,
                            description="normally in preload",
                            module='ion.processes.data.transforms.logical_transform',
                            class_name='logical_transform')
        self.dsmsclient.create_data_process_definition(dpd_obj)

        # deactivate all data processes when tests are complete
        def killAllDataProcesses():
            for proc_id in self.rrclient.find_resources(RT.DataProcess, None, None, True)[0]:
                self.dsmsclient.deactivate_data_process(proc_id)
                self.dsmsclient.delete_data_process(proc_id)
        self.addCleanup(killAllDataProcesses)


    #@unittest.skip("targeting")
    def test_create_deployment(self):

        #create a deployment with metadata and an initial site and device
        platform_site__obj = IonObject(RT.PlatformSite,
                                        name='PlatformSite1',
                                        description='test platform site')
        site_id = self.omsclient.create_platform_site(platform_site__obj)

        platform_device__obj = IonObject(RT.PlatformDevice,
                                        name='PlatformDevice1',
                                        description='test platform device')
        device_id = self.imsclient.create_platform_device(platform_device__obj)

        start = IonTime(datetime.datetime(2013,1,1))
        end = IonTime(datetime.datetime(2014,1,1))
        temporal_bounds = IonObject(OT.TemporalBounds, name='planned', start_datetime=start.to_string(), end_datetime=end.to_string())
        deployment_obj = IonObject(RT.Deployment,
                                        name='TestDeployment',
                                        description='some new deployment',
                                        constraint_list=[temporal_bounds])
        deployment_id = self.omsclient.create_deployment(deployment_obj)
        self.omsclient.deploy_platform_site(site_id, deployment_id)
        self.imsclient.deploy_platform_device(device_id, deployment_id)

        log.debug("test_create_deployment: created deployment id: %s ", str(deployment_id) )

        #retrieve the deployment objects and check that the assoc site and device are attached
        read_deployment_obj = self.omsclient.read_deployment(deployment_id)
        log.debug("test_create_deployment: created deployment obj: %s ", str(read_deployment_obj) )

        site_ids, _ = self.rrclient.find_subjects(RT.PlatformSite, PRED.hasDeployment, deployment_id, True)
        self.assertEqual(len(site_ids), 1)

        device_ids, _ = self.rrclient.find_subjects(RT.PlatformDevice, PRED.hasDeployment, deployment_id, True)
        self.assertEqual(len(device_ids), 1)

        #delete the deployment
        self.RR2.pluck(deployment_id)
        self.omsclient.force_delete_deployment(deployment_id)
        # now try to get the deleted dp object
        try:
            self.omsclient.read_deployment(deployment_id)
        except NotFound:
            pass
        else:
            self.fail("deleted deployment was found during read")




    #@unittest.skip("targeting")
    def base_activate_deployment(self):

        #-------------------------------------------------------------------------------------
        # Create platform site, platform device, platform model
        #-------------------------------------------------------------------------------------

        platform_site__obj = IonObject(RT.PlatformSite,
                                        name='PlatformSite1',
                                        description='test platform site')
        platform_site_id = self.omsclient.create_platform_site(platform_site__obj)

        platform_device_obj = IonObject(RT.PlatformDevice,
                                        name='PlatformDevice1',
                                        description='test platform device')
        platform_device_id = self.imsclient.create_platform_device(platform_device_obj)

        platform_model__obj = IonObject(RT.PlatformModel,
                                        name='PlatformModel1',
                                        description='test platform model')
        platform_model_id = self.imsclient.create_platform_model(platform_model__obj)



        #-------------------------------------------------------------------------------------
        # Create instrument site
        #-------------------------------------------------------------------------------------

        instrument_site_obj = IonObject(RT.InstrumentSite,
                                        name='InstrumentSite1',
                                        description='test instrument site')
        instrument_site_id = self.omsclient.create_instrument_site(instrument_site_obj, platform_site_id)

        pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
        ctd_stream_def_id = self.psmsclient.create_stream_definition(name='SBE37_CDM', parameter_dictionary_id=pdict_id)


        # Construct temporal and spatial Coordinate Reference System objects
        tdom, sdom = time_series_domain()

        sdom = sdom.dump()
        tdom = tdom.dump()



        dp_obj = IonObject(RT.DataProduct,
            name='Log Data Product',
            description='some new dp',
            temporal_domain = tdom,
            spatial_domain = sdom)

        out_log_data_product_id = self.dmpsclient.create_data_product(dp_obj, ctd_stream_def_id)

        #----------------------------------------------------------------------------------------------------
        # Start the transform (a logical transform) that acts as an instrument site
        #----------------------------------------------------------------------------------------------------

        self.omsclient.create_site_data_product(    site_id= instrument_site_id,
                                                    data_product_id =  out_log_data_product_id)


        #----------------------------------------------------------------------------------------------------
        # Create an instrument device
        #----------------------------------------------------------------------------------------------------

        instrument_device_obj = IonObject(RT.InstrumentDevice,
                                        name='InstrumentDevice1',
                                        description='test instrument device')
        instrument_device_id = self.imsclient.create_instrument_device(instrument_device_obj)
        self.rrclient.create_association(platform_device_id, PRED.hasDevice, instrument_device_id)


        dp_obj = IonObject(RT.DataProduct,
            name='Instrument Data Product',
            description='some new dp',
            temporal_domain = tdom,
            spatial_domain = sdom)

        inst_data_product_id = self.dmpsclient.create_data_product(dp_obj, ctd_stream_def_id)

        #assign data products appropriately
        self.damsclient.assign_data_product(input_resource_id=instrument_device_id,
                                            data_product_id=inst_data_product_id)
        #----------------------------------------------------------------------------------------------------
        # Create an instrument model
        #----------------------------------------------------------------------------------------------------

        instrument_model_obj = IonObject(RT.InstrumentModel,
                                        name='InstrumentModel1',
                                        description='test instrument model')
        instrument_model_id = self.imsclient.create_instrument_model(instrument_model_obj)


        #----------------------------------------------------------------------------------------------------
        # Create a deployment object
        #----------------------------------------------------------------------------------------------------

        start = IonTime(datetime.datetime(2013,1,1))
        end = IonTime(datetime.datetime(2014,1,1))
        temporal_bounds = IonObject(OT.TemporalBounds, name='planned', start_datetime=start.to_string(), end_datetime=end.to_string())
        deployment_obj = IonObject(RT.Deployment,
                                        name='TestDeployment',
                                        description='some new deployment',
                                        constraint_list=[temporal_bounds])
        deployment_id = self.omsclient.create_deployment(deployment_obj)

        log.debug("test_create_deployment: created deployment id: %s ", str(deployment_id) )


        ret = DotDict(instrument_site_id=instrument_site_id,
                      instrument_device_id=instrument_device_id,
                      instrument_model_id=instrument_model_id,
                      platform_site_id=platform_site_id,
                      platform_device_id=platform_device_id,
                      platform_model_id=platform_model_id,
                      deployment_id=deployment_id)


        return ret

    #@unittest.skip("targeting")
    def test_activate_deployment_normal(self):

        res = self.base_activate_deployment()

        log.debug("assigning platform and instrument models")
        self.imsclient.assign_platform_model_to_platform_device(res.platform_model_id, res.platform_device_id)
        self.imsclient.assign_instrument_model_to_instrument_device(res.instrument_model_id, res.instrument_device_id)
        self.omsclient.assign_platform_model_to_platform_site(res.platform_model_id, res.platform_site_id)
        self.omsclient.assign_instrument_model_to_instrument_site(res.instrument_model_id, res.instrument_site_id)

        log.debug("adding instrument site and device to deployment")
        self.omsclient.deploy_instrument_site(res.instrument_site_id, res.deployment_id)
        self.imsclient.deploy_instrument_device(res.instrument_device_id, res.deployment_id)

        log.debug("adding platform site and device to deployment")
        self.omsclient.deploy_platform_site(res.platform_site_id, res.deployment_id)
        self.imsclient.deploy_platform_device(res.platform_device_id, res.deployment_id)

        log.debug("activating deployment, expecting success")
        self.omsclient.activate_deployment(res.deployment_id)


    #@unittest.skip("targeting")
    def test_activate_deployment_nomodels(self):

        res = self.base_activate_deployment()

        self.omsclient.deploy_instrument_site(res.instrument_site_id, res.deployment_id)
        self.imsclient.deploy_instrument_device(res.instrument_device_id, res.deployment_id)

        log.debug("activating deployment without site+device models, expecting fail")
        self.assert_deploy_fail(res.deployment_id, "Expected at least 1 model for InstrumentSite")

        log.debug("assigning instrument site model")
        self.omsclient.assign_instrument_model_to_instrument_site(res.instrument_model_id, res.instrument_site_id)

        log.debug("activating deployment without device models, expecting fail")
        self.assert_deploy_fail(res.deployment_id, "Expected 1 model for InstrumentDevice")

    #@unittest.skip("targeting")
    def test_activate_deployment_nosite(self):

        res = self.base_activate_deployment()

        log.debug("assigning instrument models")
        self.imsclient.assign_instrument_model_to_instrument_device(res.instrument_model_id, res.instrument_device_id)
        self.omsclient.assign_instrument_model_to_instrument_site(res.instrument_model_id, res.instrument_site_id)

        log.debug("deploying instrument device only")
        self.imsclient.deploy_instrument_device(res.instrument_device_id, res.deployment_id)

        log.debug("activating deployment without device models, expecting fail")
        self.assert_deploy_fail(res.deployment_id, "No sites were found in the deployment")

    #@unittest.skip("targeting")
    def test_activate_deployment_nodevice(self):

        res = self.base_activate_deployment()

        log.debug("assigning platform and instrument models")
        self.imsclient.assign_instrument_model_to_instrument_device(res.instrument_model_id, res.instrument_device_id)
        self.omsclient.assign_instrument_model_to_instrument_site(res.instrument_model_id, res.instrument_site_id)

        log.debug("deploying instrument site only")
        self.omsclient.deploy_instrument_site(res.instrument_site_id, res.deployment_id)

        log.debug("activating deployment without device models, expecting fail")
        self.assert_deploy_fail(res.deployment_id, "The set of devices could not be mapped to the set of sites")


    def assert_deploy_fail(self, deployment_id, fail_message="did not specify fail_message"):
        with self.assertRaises(BadRequest) as cm:
            self.omsclient.activate_deployment(deployment_id)
        self.assertIn(fail_message, cm.exception.message)
class TestIntDataProcessManagementServiceMultiOut(IonIntegrationTestCase):

    def setUp(self):
        # Start container
        self._start_container()
        self.container.start_rel_from_url('res/deploy/r2deploy.yml')

        # Now create client to DataProductManagementService
        self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
        self.damsclient = DataAcquisitionManagementServiceClient(node=self.container.node)
        self.pubsubclient =  PubsubManagementServiceClient(node=self.container.node)
        self.ingestclient = IngestionManagementServiceClient(node=self.container.node)
        self.imsclient = InstrumentManagementServiceClient(node=self.container.node)
        self.dataproductclient = DataProductManagementServiceClient(node=self.container.node)
        self.dataprocessclient = DataProcessManagementServiceClient(node=self.container.node)
        self.datasetclient =  DatasetManagementServiceClient(node=self.container.node)



#    @unittest.skip('not working')
    def test_createDataProcess(self):

        #-------------------------------
        # Data Process Definition
        #-------------------------------
        log.debug("TestIntDataProcessMgmtServiceMultiOut: create data process definition")
        dpd_obj = IonObject(RT.DataProcessDefinition,
                            name='ctd_L0_all',
                            description='transform ctd package into three separate L0 streams',
                            module='ion.processes.data.transforms.ctd.ctd_L0_all',
                            class_name='ctd_L0_all',
                            process_source='some_source_reference')
        try:
            dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
        except BadRequest as ex:
            self.fail("failed to create new data process definition: %s" %ex)


        # test Data Process Definition creation in rr
        dprocdef_obj = self.dataprocessclient.read_data_process_definition(dprocdef_id)
        self.assertEquals(dprocdef_obj.name,'ctd_L0_all')

        # Create an input instrument
        instrument_obj = IonObject(RT.InstrumentDevice, name='Inst1',description='an instrument that is creating the data product')
        instrument_id, rev = self.rrclient.create(instrument_obj)

        # Register the instrument so that the data producer and stream object are created
        data_producer_id = self.damsclient.register_instrument(instrument_id)
        log.debug("TestIntDataProcessMgmtServiceMultiOut  data_producer_id %s" % data_producer_id)

        # create a stream definition for the data from the ctd simulator
        ctd_stream_def = ctd_stream_definition()
        ctd_stream_def_id = self.pubsubclient.create_stream_definition(container=ctd_stream_def, name='Simulated CTD data')

        self.dataprocessclient.assign_input_stream_definition_to_data_process_definition(ctd_stream_def_id, dprocdef_id )


        #-------------------------------
        # Input Data Product
        #-------------------------------
        log.debug("TestIntDataProcessMgmtServiceMultiOut: create input data product")



        craft = CoverageCraft
        sdom, tdom = craft.create_domains()
        sdom = sdom.dump()
        tdom = tdom.dump()
        parameter_dictionary = craft.create_parameters()
        parameter_dictionary = parameter_dictionary.dump()

        input_dp_obj = IonObject(   RT.DataProduct,
                                    name='InputDataProduct',
                                    description='some new dp',
                                    temporal_domain = tdom,
                                    spatial_domain = sdom)

        input_dp_id = self.dataproductclient.create_data_product(input_dp_obj, ctd_stream_def_id, parameter_dictionary)

        self.damsclient.assign_data_product(instrument_id, input_dp_id)

        # Retrieve the stream via the DataProduct->Stream associations
        stream_ids, _ = self.rrclient.find_objects(input_dp_id, PRED.hasStream, None, True)

        log.debug("TestIntDataProcessMgmtServiceMultiOut: in stream_ids "   +  str(stream_ids))
        self.in_stream_id = stream_ids[0]
        log.debug("TestIntDataProcessMgmtServiceMultiOut: Input Stream: "   +  str( self.in_stream_id))

        #-------------------------------
        # Output Data Product
        #-------------------------------

        outgoing_stream_conductivity = L0_conductivity_stream_definition()
        outgoing_stream_conductivity_id = self.pubsubclient.create_stream_definition(container=outgoing_stream_conductivity, name='conductivity')
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_conductivity_id, dprocdef_id )

        outgoing_stream_pressure = L0_pressure_stream_definition()
        outgoing_stream_pressure_id = self.pubsubclient.create_stream_definition(container=outgoing_stream_pressure, name='pressure')
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_pressure_id, dprocdef_id )

        outgoing_stream_temperature = L0_temperature_stream_definition()
        outgoing_stream_temperature_id = self.pubsubclient.create_stream_definition(container=outgoing_stream_temperature, name='temperature')
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_temperature_id, dprocdef_id )


        self.output_products={}
        log.debug("TestIntDataProcessMgmtServiceMultiOut: create output data product conductivity")

        output_dp_obj = IonObject(RT.DataProduct,
            name='conductivity',
            description='transform output conductivity',
            temporal_domain = tdom,
            spatial_domain = sdom)

        output_dp_id_1 = self.dataproductclient.create_data_product(output_dp_obj, outgoing_stream_conductivity_id, parameter_dictionary)
        self.output_products['conductivity'] = output_dp_id_1
        self.dataproductclient.activate_data_product_persistence(data_product_id=output_dp_id_1)


        log.debug("TestIntDataProcessMgmtServiceMultiOut: create output data product pressure")

        output_dp_obj = IonObject(RT.DataProduct,
            name='pressure',
            description='transform output pressure',
            temporal_domain = tdom,
            spatial_domain = sdom)

        output_dp_id_2 = self.dataproductclient.create_data_product(output_dp_obj, outgoing_stream_pressure_id, parameter_dictionary)
        self.output_products['pressure'] = output_dp_id_2
        self.dataproductclient.activate_data_product_persistence(data_product_id=output_dp_id_2)

        log.debug("TestIntDataProcessMgmtServiceMultiOut: create output data product temperature")

        output_dp_obj = IonObject(RT.DataProduct,
            name='temperature',
            description='transform output ',
            temporal_domain = tdom,
            spatial_domain = sdom)

        output_dp_id_3 = self.dataproductclient.create_data_product(output_dp_obj, outgoing_stream_temperature_id, parameter_dictionary)
        self.output_products['temperature'] = output_dp_id_3
        self.dataproductclient.activate_data_product_persistence(data_product_id=output_dp_id_3)


        #-------------------------------
        # Create the data process
        #-------------------------------
        log.debug("TestIntDataProcessMgmtServiceMultiOut: create_data_process start")
        try:
            dproc_id = self.dataprocessclient.create_data_process(dprocdef_id, [input_dp_id], self.output_products)
        except BadRequest as ex:
            self.fail("failed to create new data process: %s" %ex)

        log.debug("TestIntDataProcessMgmtServiceMultiOut: create_data_process return")

        # these assigns happen inside create_data_process
        #self.damsclient.assign_data_product(input_resource_id=dproc_id, data_product_id=output_dp_id_1)
        #self.damsclient.assign_data_product(input_resource_id=dproc_id, data_product_id=output_dp_id_2)
        #self.damsclient.assign_data_product(input_resource_id=dproc_id, data_product_id=output_dp_id_3)




#    @unittest.skip('not working.. Fix activate_data_product_persistence()')
    @patch.dict(CFG, {'endpoint':{'receive':{'timeout': 60}}})
    def test_createDataProcessUsingSim(self):
        #-------------------------------
        # Create InstrumentModel
        #-------------------------------
        instModel_obj = IonObject(RT.InstrumentModel, name='SBE37IMModel', description="SBE37IMModel", model="SBE37IMModel" )
        try:
            instModel_id = self.imsclient.create_instrument_model(instModel_obj)
        except BadRequest as ex:
            self.fail("failed to create new InstrumentModel: %s" %ex)
        print 'test_createDataProcessUsingSim: new InstrumentModel id = ', instModel_id


        #-------------------------------
        # Create InstrumentAgent
        #-------------------------------
        instAgent_obj = IonObject(RT.InstrumentAgent, name='agent007', description="SBE37IMAgent", driver_module="ion.agents.instrument.instrument_agent", driver_class="InstrumentAgent" )
        try:
            instAgent_id = self.imsclient.create_instrument_agent(instAgent_obj)
        except BadRequest as ex:
            self.fail("failed to create new InstrumentAgent: %s" %ex)
        print 'test_createDataProcessUsingSim: new InstrumentAgent id = ', instAgent_id

        self.imsclient.assign_instrument_model_to_instrument_agent(instModel_id, instAgent_id)

        #-------------------------------
        # Create InstrumentDevice
        #-------------------------------
        instDevice_obj = IonObject(RT.InstrumentDevice, name='SBE37IMDevice', description="SBE37IMDevice", serial_number="12345" )
        try:
            instDevice_id = self.imsclient.create_instrument_device(instrument_device=instDevice_obj)
            self.imsclient.assign_instrument_model_to_instrument_device(instModel_id, instDevice_id)
        except BadRequest as ex:
            self.fail("failed to create new InstrumentDevice: %s" %ex)

        print 'test_createDataProcessUsingSim: new InstrumentDevice id = ', instDevice_id

        #-------------------------------
        # Create InstrumentAgentInstance to hold configuration information
        #-------------------------------
        instAgentInstance_obj = IonObject(RT.InstrumentAgentInstance, name='SBE37IMAgentInstance', description="SBE37IMAgentInstance", svr_addr="localhost",
                                          driver_module="mi.instrument.seabird.sbe37smb.ooicore.driver", driver_class="SBE37Driver",
                                          cmd_port=5556, evt_port=5557, comms_method="ethernet", comms_device_address=CFG.device.sbe37.host, comms_device_port=CFG.device.sbe37.port,
                                          comms_server_address="localhost", comms_server_port=8888)
        instAgentInstance_id = self.imsclient.create_instrument_agent_instance(instAgentInstance_obj, instAgent_id, instDevice_id)

        #-------------------------------
        # Create CTD Parsed as the first data product
        #-------------------------------
        # create a stream definition for the data from the ctd simulator
        ctd_stream_def = SBE37_CDM_stream_definition()
        ctd_stream_def_id = self.pubsubclient.create_stream_definition(container=ctd_stream_def)

        print 'test_createDataProcessUsingSim: new Stream Definition id = ', instDevice_id

        print 'Creating new CDM data product with a stream definition'


        craft = CoverageCraft
        sdom, tdom = craft.create_domains()
        sdom = sdom.dump()
        tdom = tdom.dump()
        parameter_dictionary = craft.create_parameters()
        parameter_dictionary = parameter_dictionary.dump()

        dp_obj = IonObject(RT.DataProduct,
            name='ctd_parsed',
            description='ctd stream test',
            temporal_domain = tdom,
            spatial_domain = sdom)

        ctd_parsed_data_product = self.dataproductclient.create_data_product(dp_obj, ctd_stream_def_id, parameter_dictionary)

        print 'new ctd_parsed_data_product_id = ', ctd_parsed_data_product

        self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=ctd_parsed_data_product)

        self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_parsed_data_product)

        # Retrieve the id of the OUTPUT stream from the out Data Product
        stream_ids, _ = self.rrclient.find_objects(ctd_parsed_data_product, PRED.hasStream, None, True)
        print 'test_createDataProcessUsingSim: Data product streams1 = ', stream_ids

        #-------------------------------
        # Create CTD Raw as the second data product
        #-------------------------------
        print 'test_createDataProcessUsingSim: Creating new RAW data product with a stream definition'
        raw_stream_def = SBE37_RAW_stream_definition()
        raw_stream_def_id = self.pubsubclient.create_stream_definition(container=raw_stream_def)


        dp_obj = IonObject(RT.DataProduct,
                            name='ctd_raw',
                            description='raw stream test',
                            temporal_domain = tdom,
                            spatial_domain = sdom)

        ctd_raw_data_product = self.dataproductclient.create_data_product(dp_obj, raw_stream_def_id, parameter_dictionary)
        print 'new ctd_raw_data_product_id = ', ctd_raw_data_product

        self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=ctd_raw_data_product)

        self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_raw_data_product)

        # Retrieve the id of the OUTPUT stream from the out Data Product
        stream_ids, _ = self.rrclient.find_objects(ctd_raw_data_product, PRED.hasStream, None, True)
        print 'Data product streams2 = ', stream_ids
        
        #-------------------------------
        # L0 Conductivity - Temperature - Pressure: Data Process Definition
        #-------------------------------
        log.debug("test_createDataProcessUsingSim: create data process definition ctd_L0_all")
        dpd_obj = IonObject(RT.DataProcessDefinition,
                            name='ctd_L0_all',
                            description='transform ctd package into three separate L0 streams',
                            module='ion.processes.data.transforms.ctd.ctd_L0_all',
                            class_name='ctd_L0_all',
                            process_source='some_source_reference')
        try:
            ctd_L0_all_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
        except BadRequest as ex:
            self.fail("failed to create new ctd_L0_all data process definition: %s" %ex)
            
            
        #-------------------------------
        # L0 Conductivity - Temperature - Pressure: Output Data Products
        #-------------------------------

        outgoing_stream_l0_conductivity = L0_conductivity_stream_definition()
        outgoing_stream_l0_conductivity_id = self.pubsubclient.create_stream_definition(container=outgoing_stream_l0_conductivity, name='L0_Conductivity')
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_conductivity_id, ctd_L0_all_dprocdef_id )

        outgoing_stream_l0_pressure = L0_pressure_stream_definition()
        outgoing_stream_l0_pressure_id = self.pubsubclient.create_stream_definition(container=outgoing_stream_l0_pressure, name='L0_Pressure')
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_pressure_id, ctd_L0_all_dprocdef_id )

        outgoing_stream_l0_temperature = L0_temperature_stream_definition()
        outgoing_stream_l0_temperature_id = self.pubsubclient.create_stream_definition(container=outgoing_stream_l0_temperature, name='L0_Temperature')
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_temperature_id, ctd_L0_all_dprocdef_id )


        self.output_products={}
        log.debug("test_createDataProcessUsingSim: create output data product L0 conductivity")

        ctd_l0_conductivity_output_dp_obj = IonObject(  RT.DataProduct,
                                                        name='L0_Conductivity',
                                                        description='transform output conductivity',
                                                        temporal_domain = tdom,
                                                        spatial_domain = sdom)


        ctd_l0_conductivity_output_dp_id = self.dataproductclient.create_data_product(ctd_l0_conductivity_output_dp_obj,
                                                                                outgoing_stream_l0_conductivity_id,
                                                                                parameter_dictionary)
        self.output_products['conductivity'] = ctd_l0_conductivity_output_dp_id
        self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_l0_conductivity_output_dp_id)


        log.debug("test_createDataProcessUsingSim: create output data product L0 pressure")

        ctd_l0_pressure_output_dp_obj = IonObject(RT.DataProduct,
            name='L0_Pressure',
            description='transform output pressure',
            temporal_domain = tdom,
            spatial_domain = sdom)

        ctd_l0_pressure_output_dp_id = self.dataproductclient.create_data_product(ctd_l0_pressure_output_dp_obj,
                                                                                    outgoing_stream_l0_pressure_id,
                                                                                    parameter_dictionary)
        self.output_products['pressure'] = ctd_l0_pressure_output_dp_id
        self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_l0_pressure_output_dp_id)

        log.debug("test_createDataProcessUsingSim: create output data product L0 temperature")

        ctd_l0_temperature_output_dp_obj = IonObject(RT.DataProduct,
            name='L0_Temperature',
            description='transform output temperature',
            temporal_domain = tdom,
            spatial_domain = sdom)


        ctd_l0_temperature_output_dp_id = self.dataproductclient.create_data_product(ctd_l0_temperature_output_dp_obj,
                                                                                    outgoing_stream_l0_temperature_id,
                                                                                    parameter_dictionary)
        self.output_products['temperature'] = ctd_l0_temperature_output_dp_id
        self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_l0_temperature_output_dp_id)


        #-------------------------------
        # Create listener for data process events and verify that events are received.
        #-------------------------------

        # todo: add this validate for Req: L4-CI-SA-RQ-367  Data processing shall notify registered data product consumers about data processing workflow life cycle events

        
        #-------------------------------
        # L0 Conductivity - Temperature - Pressure: Create the data process
        #-------------------------------
        log.debug("test_createDataProcessUsingSim: create data_process start")
        try:
            ctd_l0_all_data_process_id = self.dataprocessclient.create_data_process(ctd_L0_all_dprocdef_id, [ctd_parsed_data_product], self.output_products)
        except BadRequest as ex:
            self.fail("failed to create new data process: %s" %ex)

        log.debug("test_createDataProcessUsingSim: data_process created: %s", str(ctd_l0_all_data_process_id))


        #-------------------------------
        # Retrieve a list of all data process defintions in RR and validate that the DPD is listed
        #-------------------------------

        # todo: add this validate for Req: L4-CI-SA-RQ-366  Data processing shall manage data topic definitions

        log.debug("test_createDataProcessUsingSim: activate_data_process ")
        self.dataprocessclient.activate_data_process(ctd_l0_all_data_process_id)
        

        #todo: check that activate event is received L4-CI-SA-RQ-367


        # todo: monitor process to se eif it is active (sa-rq-182)
        # todo: This has not yet been completed by CEI, will prbly surface thru a DPMS call
        log.debug("test_createDataProcessUsingSim: call CEI interface to monitor  ")

        self.dataproductclient.suspend_data_product_persistence(data_product_id=ctd_raw_data_product)
        self.dataproductclient.suspend_data_product_persistence(data_product_id=ctd_l0_conductivity_output_dp_id)
        self.dataproductclient.suspend_data_product_persistence(data_product_id=ctd_l0_pressure_output_dp_id)
        self.dataproductclient.suspend_data_product_persistence(data_product_id=ctd_l0_temperature_output_dp_id)

        log.debug("test_createDataProcessUsingSim: deactivate_data_process ")
        self.dataprocessclient.deactivate_data_process(ctd_l0_all_data_process_id)

        self.dataprocessclient.delete_data_process(ctd_l0_all_data_process_id)
class TestIntDataProcessManagementServiceMultiOut(IonIntegrationTestCase):

    def setUp(self):
        # Start container
        self._start_container()
        self.container.start_rel_from_url('res/deploy/r2deploy.yml')

        # Now create client to DataProductManagementService
        self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
        self.damsclient = DataAcquisitionManagementServiceClient(node=self.container.node)
        self.pubsubclient =  PubsubManagementServiceClient(node=self.container.node)
        self.ingestclient = IngestionManagementServiceClient(node=self.container.node)
        self.imsclient = InstrumentManagementServiceClient(node=self.container.node)
        self.dataproductclient = DataProductManagementServiceClient(node=self.container.node)
        self.dataprocessclient = DataProcessManagementServiceClient(node=self.container.node)
        self.datasetclient =  DatasetManagementServiceClient(node=self.container.node)
        self.dataset_management = self.datasetclient
        self.process_dispatcher = ProcessDispatcherServiceClient(node=self.container.node)

    def test_createDataProcess(self):

        #---------------------------------------------------------------------------
        # Data Process Definition
        #---------------------------------------------------------------------------
        dpd_obj = IonObject(RT.DataProcessDefinition,
                            name='ctd_L0_all',
                            description='transform ctd package into three separate L0 streams',
                            module='ion.processes.data.transforms.ctd.ctd_L0_all',
                            class_name='ctd_L0_all')
        dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)

        # Make assertion on the newly registered data process definition
        data_process_definition = self.rrclient.read(dprocdef_id)
        self.assertEquals(data_process_definition.name, 'ctd_L0_all')
        self.assertEquals(data_process_definition.description, 'transform ctd package into three separate L0 streams')
        self.assertEquals(data_process_definition.module, 'ion.processes.data.transforms.ctd.ctd_L0_all')
        self.assertEquals(data_process_definition.class_name, 'ctd_L0_all')

        # Read the data process definition using data process management and make assertions
        dprocdef_obj = self.dataprocessclient.read_data_process_definition(dprocdef_id)
        self.assertEquals(dprocdef_obj.class_name,'ctd_L0_all')
        self.assertEquals(dprocdef_obj.module,'ion.processes.data.transforms.ctd.ctd_L0_all')

        #---------------------------------------------------------------------------
        # Create an input instrument
        #---------------------------------------------------------------------------

        instrument_obj = IonObject(RT.InstrumentDevice, name='Inst1',description='an instrument that is creating the data product')
        instrument_id, rev = self.rrclient.create(instrument_obj)

        # Register the instrument so that the data producer and stream object are created
        data_producer_id = self.damsclient.register_instrument(instrument_id)

        # create a stream definition for the data from the ctd simulator
        pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
        ctd_stream_def_id = self.pubsubclient.create_stream_definition(name='Simulated CTD data', parameter_dictionary_id=pdict_id)

        self.dataprocessclient.assign_input_stream_definition_to_data_process_definition(ctd_stream_def_id, dprocdef_id )

        # Assert that the link between the stream definition and the data process definition was done
        assocs = self.rrclient.find_associations(subject=dprocdef_id, predicate=PRED.hasInputStreamDefinition, object=ctd_stream_def_id, id_only=True)

        self.assertIsNotNone(assocs)

        #---------------------------------------------------------------------------
        # Input Data Product
        #---------------------------------------------------------------------------
        tdom, sdom = time_series_domain()
        sdom = sdom.dump()
        tdom = tdom.dump()


        input_dp_obj = IonObject(   RT.DataProduct,
                                    name='InputDataProduct',
                                    description='some new dp',
                                    temporal_domain = tdom,
                                    spatial_domain = sdom)

        input_dp_id = self.dataproductclient.create_data_product(data_product=input_dp_obj, stream_definition_id=ctd_stream_def_id, exchange_point='test')

        #Make assertions on the input data product created
        input_dp_obj = self.rrclient.read(input_dp_id)
        self.assertEquals(input_dp_obj.name, 'InputDataProduct')
        self.assertEquals(input_dp_obj.description, 'some new dp')

        self.damsclient.assign_data_product(instrument_id, input_dp_id)

        # Retrieve the stream via the DataProduct->Stream associations
        stream_ids, _ = self.rrclient.find_objects(input_dp_id, PRED.hasStream, None, True)

        self.in_stream_id = stream_ids[0]

        #---------------------------------------------------------------------------
        # Output Data Product
        #---------------------------------------------------------------------------

        outgoing_stream_conductivity_id = self.pubsubclient.create_stream_definition(name='conductivity', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_conductivity_id, dprocdef_id,binding='conductivity' )

        outgoing_stream_pressure_id = self.pubsubclient.create_stream_definition(name='pressure', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_pressure_id, dprocdef_id, binding='pressure' )

        outgoing_stream_temperature_id = self.pubsubclient.create_stream_definition(name='temperature', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_temperature_id, dprocdef_id, binding='temperature' )


        self.output_products={}

        output_dp_obj = IonObject(RT.DataProduct,
            name='conductivity',
            description='transform output conductivity',
            temporal_domain = tdom,
            spatial_domain = sdom)

        output_dp_id_1 = self.dataproductclient.create_data_product(output_dp_obj, outgoing_stream_conductivity_id)
        self.output_products['conductivity'] = output_dp_id_1

        output_dp_obj = IonObject(RT.DataProduct,
            name='pressure',
            description='transform output pressure',
            temporal_domain = tdom,
            spatial_domain = sdom)

        output_dp_id_2 = self.dataproductclient.create_data_product(output_dp_obj, outgoing_stream_pressure_id)
        self.output_products['pressure'] = output_dp_id_2

        output_dp_obj = IonObject(RT.DataProduct,
            name='temperature',
            description='transform output ',
            temporal_domain = tdom,
            spatial_domain = sdom)

        output_dp_id_3 = self.dataproductclient.create_data_product(output_dp_obj, outgoing_stream_temperature_id)
        self.output_products['temperature'] = output_dp_id_3


        #---------------------------------------------------------------------------
        # Create the data process
        #---------------------------------------------------------------------------
        def _create_data_process():
            dproc_id = self.dataprocessclient.create_data_process(dprocdef_id, [input_dp_id], self.output_products)
            return dproc_id

        dproc_id = _create_data_process()

        # Make assertions on the data process created
        data_process = self.dataprocessclient.read_data_process(dproc_id)

        # Assert that the data process has a process id attached
        self.assertIsNotNone(data_process.process_id)

        # Assert that the data process got the input data product's subscription id attached as its own input_susbcription_id attribute
        self.assertIsNotNone(data_process.input_subscription_id)

        output_data_product_ids = self.rrclient.find_objects(subject=dproc_id, predicate=PRED.hasOutputProduct, object_type=RT.DataProduct, id_only=True)

        self.assertEquals(Set(output_data_product_ids[0]), Set([output_dp_id_1,output_dp_id_2,output_dp_id_3]))


    @patch.dict(CFG, {'endpoint':{'receive':{'timeout': 60}}})
    def test_createDataProcessUsingSim(self):
        #-------------------------------
        # Create InstrumentModel
        #-------------------------------
        instModel_obj = IonObject(RT.InstrumentModel, name='SBE37IMModel', description="SBE37IMModel" )
        instModel_id = self.imsclient.create_instrument_model(instModel_obj)

        #-------------------------------
        # Create InstrumentAgent
        #-------------------------------
        instAgent_obj = IonObject(RT.InstrumentAgent, name='agent007', description="SBE37IMAgent", driver_uri="http://sddevrepo.oceanobservatories.org/releases/seabird_sbe37smb_ooicore-0.0.1-py2.7.egg")
        instAgent_id = self.imsclient.create_instrument_agent(instAgent_obj)

        self.imsclient.assign_instrument_model_to_instrument_agent(instModel_id, instAgent_id)

        #-------------------------------
        # Create InstrumentDevice
        #-------------------------------
        instDevice_obj = IonObject(RT.InstrumentDevice, name='SBE37IMDevice', description="SBE37IMDevice", serial_number="12345" )
        instDevice_id = self.imsclient.create_instrument_device(instrument_device=instDevice_obj)
        self.imsclient.assign_instrument_model_to_instrument_device(instModel_id, instDevice_id)

        #-------------------------------
        # Create InstrumentAgentInstance to hold configuration information
        #-------------------------------


        port_agent_config = {
            'device_addr': 'sbe37-simulator.oceanobservatories.org',
            'device_port': 4001,
            'process_type': PortAgentProcessType.UNIX,
            'binary_path': "port_agent",
            'command_port': 4002,
            'data_port': 4003,
            'log_level': 5,
        }


        port_agent_config = {
            'device_addr':  CFG.device.sbe37.host,
            'device_port':  CFG.device.sbe37.port,
            'process_type': PortAgentProcessType.UNIX,
            'binary_path': "port_agent",
            'port_agent_addr': 'localhost',
            'command_port': CFG.device.sbe37.port_agent_cmd_port,
            'data_port': CFG.device.sbe37.port_agent_data_port,
            'log_level': 5,
            'type': PortAgentType.ETHERNET
        }

        instAgentInstance_obj = IonObject(RT.InstrumentAgentInstance, name='SBE37IMAgentInstance', description="SBE37IMAgentInstance",
                                          port_agent_config = port_agent_config)
        instAgentInstance_id = self.imsclient.create_instrument_agent_instance(instAgentInstance_obj, instAgent_id, instDevice_id)


        #-------------------------------
        # Create CTD Parsed as the first data product
        #-------------------------------
        # create a stream definition for the data from the ctd simulator
        pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
        ctd_stream_def_id = self.pubsubclient.create_stream_definition(name='SBE32_CDM', parameter_dictionary_id=pdict_id)

        # Construct temporal and spatial Coordinate Reference System objects
        tdom, sdom = time_series_domain()

        sdom = sdom.dump()
        tdom = tdom.dump()



        dp_obj = IonObject(RT.DataProduct,
            name='ctd_parsed',
            description='ctd stream test',
            temporal_domain = tdom,
            spatial_domain = sdom)

        ctd_parsed_data_product = self.dataproductclient.create_data_product(dp_obj, ctd_stream_def_id)

        self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=ctd_parsed_data_product)

        # Retrieve the id of the OUTPUT stream from the out Data Product
        stream_ids, _ = self.rrclient.find_objects(ctd_parsed_data_product, PRED.hasStream, None, True)

        #-------------------------------
        # Create CTD Raw as the second data product
        #-------------------------------
        raw_stream_def_id = self.pubsubclient.create_stream_definition(name='SBE37_RAW', parameter_dictionary_id=pdict_id)

        dp_obj.name = 'ctd_raw'
        ctd_raw_data_product = self.dataproductclient.create_data_product(dp_obj, raw_stream_def_id)

        self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=ctd_raw_data_product)

        # Retrieve the id of the OUTPUT stream from the out Data Product
        stream_ids, _ = self.rrclient.find_objects(ctd_raw_data_product, PRED.hasStream, None, True)

        #-------------------------------
        # L0 Conductivity - Temperature - Pressure: Data Process Definition
        #-------------------------------
        dpd_obj = IonObject(RT.DataProcessDefinition,
                            name='ctd_L0_all',
                            description='transform ctd package into three separate L0 streams',
                            module='ion.processes.data.transforms.ctd.ctd_L0_all',
                            class_name='ctd_L0_all')
        ctd_L0_all_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
            
        #-------------------------------
        # L0 Conductivity - Temperature - Pressure: Output Data Products
        #-------------------------------

        outgoing_stream_l0_conductivity_id = self.pubsubclient.create_stream_definition(name='L0_Conductivity', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_conductivity_id, ctd_L0_all_dprocdef_id, binding='conductivity' )

        outgoing_stream_l0_pressure_id = self.pubsubclient.create_stream_definition(name='L0_Pressure', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_pressure_id, ctd_L0_all_dprocdef_id, binding='pressure' )

        outgoing_stream_l0_temperature_id = self.pubsubclient.create_stream_definition(name='L0_Temperature', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_temperature_id, ctd_L0_all_dprocdef_id, binding='temperature' )


        self.output_products={}

        ctd_l0_conductivity_output_dp_obj = IonObject(  RT.DataProduct,
                                                        name='L0_Conductivity',
                                                        description='transform output conductivity',
                                                        temporal_domain = tdom,
                                                        spatial_domain = sdom)


        ctd_l0_conductivity_output_dp_id = self.dataproductclient.create_data_product(ctd_l0_conductivity_output_dp_obj,
                                                                                outgoing_stream_l0_conductivity_id)
        self.output_products['conductivity'] = ctd_l0_conductivity_output_dp_id

        ctd_l0_pressure_output_dp_obj = IonObject(RT.DataProduct,
            name='L0_Pressure',
            description='transform output pressure',
            temporal_domain = tdom,
            spatial_domain = sdom)

        ctd_l0_pressure_output_dp_id = self.dataproductclient.create_data_product(ctd_l0_pressure_output_dp_obj,
                                                                                    outgoing_stream_l0_pressure_id)
        self.output_products['pressure'] = ctd_l0_pressure_output_dp_id

        ctd_l0_temperature_output_dp_obj = IonObject(RT.DataProduct,
            name='L0_Temperature',
            description='transform output temperature',
            temporal_domain = tdom,
            spatial_domain = sdom)


        ctd_l0_temperature_output_dp_id = self.dataproductclient.create_data_product(ctd_l0_temperature_output_dp_obj,
                                                                                    outgoing_stream_l0_temperature_id)
        self.output_products['temperature'] = ctd_l0_temperature_output_dp_id


        #-------------------------------
        # Create listener for data process events and verify that events are received.
        #-------------------------------

        # todo: add this validate for Req: L4-CI-SA-RQ-367  Data processing shall notify registered data product consumers about data processing workflow life cycle events
        #todo (contd) ... I believe the capability does not exist yet now. ANS And SA are not yet publishing any workflow life cycle events (Swarbhanu)
        
        #-------------------------------
        # L0 Conductivity - Temperature - Pressure: Create the data process
        #-------------------------------

        ctd_l0_all_data_process_id = self.dataprocessclient.create_data_process(ctd_L0_all_dprocdef_id, [ctd_parsed_data_product], self.output_products)
        data_process = self.rrclient.read(ctd_l0_all_data_process_id)
        process_id = data_process.process_id
        self.addCleanup(self.process_dispatcher.cancel_process, process_id)

        #-------------------------------
        # Wait until the process launched in the create_data_process() method is actually running, before proceeding further in this test
        #-------------------------------

        gate = ProcessStateGate(self.process_dispatcher.read_process, process_id, ProcessStateEnum.RUNNING)
        self.assertTrue(gate.await(30), "The data process (%s) did not spawn in 30 seconds" % process_id)

        #-------------------------------
        # Retrieve a list of all data process defintions in RR and validate that the DPD is listed
        #-------------------------------

        # todo: Req: L4-CI-SA-RQ-366  Data processing shall manage data topic definitions
        # todo: data topics are being handled by pub sub at the level of streams
        self.dataprocessclient.activate_data_process(ctd_l0_all_data_process_id)
        

        #todo: check that activate event is received L4-CI-SA-RQ-367
        #todo... (it looks like no event is being published when the data process is activated... so below, we just check for now
        # todo... that the subscription is indeed activated) (Swarbhanu)


        # todo: monitor process to see if it is active (sa-rq-182)
        ctd_l0_all_data_process = self.rrclient.read(ctd_l0_all_data_process_id)
        input_subscription_id = ctd_l0_all_data_process.input_subscription_id
        subs = self.rrclient.read(input_subscription_id)
        self.assertTrue(subs.activated)

        # todo: This has not yet been completed by CEI, will prbly surface thru a DPMS call
        self.dataprocessclient.deactivate_data_process(ctd_l0_all_data_process_id)


        #-------------------------------
        # Retrieve the extended resources for data process definition and for data process
        #-------------------------------
        extended_process_definition = self.dataprocessclient.get_data_process_definition_extension(ctd_L0_all_dprocdef_id)
        self.assertEqual(1, len(extended_process_definition.data_processes))
        log.debug("test_createDataProcess: extended_process_definition  %s", str(extended_process_definition))

        extended_process = self.dataprocessclient.get_data_process_extension(ctd_l0_all_data_process_id)
        self.assertEqual(1, len(extended_process.input_data_products))
        log.debug("test_createDataProcess: extended_process  %s", str(extended_process))

        ################################ Test the removal of data processes ##################################

        #-------------------------------------------------------------------
        # Test the deleting of the data process
        #-------------------------------------------------------------------

        # Before deleting, get the input streams, output streams and the subscriptions so that they can be checked after deleting
#        dp_obj_1 = self.rrclient.read(ctd_l0_all_data_process_id)
#        input_subscription_id = dp_obj_1.input_subscription_id
#        out_prods, _ = self.rrclient.find_objects(subject=ctd_l0_all_data_process_id, predicate=PRED.hasOutputProduct, id_only=True)
#        in_prods, _ = self.rrclient.find_objects(ctd_l0_all_data_process_id, PRED.hasInputProduct, id_only=True)
#        in_streams = []
#        for in_prod in in_prods:
#            streams, _ = self.rrclient.find_objects(in_prod, PRED.hasStream, id_only=True)
#            in_streams.extend(streams)
#        out_streams = []
#        for out_prod in out_prods:
#            streams, _ = self.rrclient.find_objects(out_prod, PRED.hasStream, id_only=True)
#            out_streams.extend(streams)

        # Deleting the data process
        self.dataprocessclient.delete_data_process(ctd_l0_all_data_process_id)

        # Check that the data process got removed. Check the lcs state. It should be retired
        dp_obj = self.rrclient.read(ctd_l0_all_data_process_id)
        self.assertEquals(dp_obj.lcstate, LCS.RETIRED)

        # Check for process defs still attached to the data process
        dpd_assn_ids = self.rrclient.find_associations(subject=ctd_l0_all_data_process_id,  predicate=PRED.hasProcessDefinition, id_only=True)
        self.assertEquals(len(dpd_assn_ids), 0)

        # Check for output data product still attached to the data process
        out_products, assocs = self.rrclient.find_objects(subject=ctd_l0_all_data_process_id, predicate=PRED.hasOutputProduct, id_only=True)
        self.assertEquals(len(out_products), 0)
        self.assertEquals(len(assocs), 0)

        # Check for input data products still attached to the data process
        inprod_associations = self.rrclient.find_associations(ctd_l0_all_data_process_id, PRED.hasInputProduct)
        self.assertEquals(len(inprod_associations), 0)

        # Check for input data products still attached to the data process
        inprod_associations = self.rrclient.find_associations(ctd_l0_all_data_process_id, PRED.hasInputProduct)
        self.assertEquals(len(inprod_associations), 0)

        # Check of the data process has been deactivated
        self.assertIsNone(dp_obj.input_subscription_id)

        # Read the original subscription id of the data process and check that it has been deactivated
        with self.assertRaises(NotFound):
            self.pubsubclient.read_subscription(input_subscription_id)

        #-------------------------------------------------------------------
        # Delete the data process definition
        #-------------------------------------------------------------------

        # before deleting, get the process definition being associated to in order to be able to check later if the latter gets deleted as it should
        proc_def_ids, proc_def_asocs = self.rrclient.find_objects(ctd_l0_all_data_process_id, PRED.hasProcessDefinition)
        self.dataprocessclient.delete_data_process_definition(ctd_L0_all_dprocdef_id)

        # check that the data process definition has been retired
        dp_proc_def = self.rrclient.read(ctd_L0_all_dprocdef_id)
        self.assertEquals(dp_proc_def.lcstate, LCS.RETIRED)

        # Check for old associations of this data process definition
        proc_defs, proc_def_asocs = self.rrclient.find_objects(ctd_L0_all_dprocdef_id, PRED.hasProcessDefinition)
        self.assertEquals(len(proc_defs), 0)

        # find all associations where this is the subject
        _, obj_assns = self.rrclient.find_objects(subject= ctd_L0_all_dprocdef_id, id_only=True)
        self.assertEquals(len(obj_assns), 0)

        ################################ Test the removal of data processes ##################################
        # Try force delete... This should simply delete the associations and the data process object
        # from the resource registry

        #---------------------------------------------------------------------------------------------------------------
        # Force deleting a data process
        #---------------------------------------------------------------------------------------------------------------
        self.dataprocessclient.force_delete_data_process(ctd_l0_all_data_process_id)

        # find all associations where this is the subject
        _, obj_assns = self.rrclient.find_objects(subject=ctd_l0_all_data_process_id, id_only=True)

        # find all associations where this is the object
        _, sbj_assns = self.rrclient.find_subjects(object=ctd_l0_all_data_process_id, id_only=True)

        self.assertEquals(len(obj_assns), 0)
        self.assertEquals(len(sbj_assns), 0)
        
        with self.assertRaises(NotFound):
            self.rrclient.read(ctd_l0_all_data_process_id)

        #---------------------------------------------------------------------------------------------------------------
        # Force deleting a data process definition
        #---------------------------------------------------------------------------------------------------------------
        self.dataprocessclient.force_delete_data_process_definition(ctd_L0_all_dprocdef_id)

        # find all associations where this is the subject
        _, obj_assns = self.rrclient.find_objects(subject=ctd_l0_all_data_process_id, id_only=True)

        # find all associations where this is the object
        _, sbj_assns = self.rrclient.find_subjects(object=ctd_l0_all_data_process_id, id_only=True)

        self.assertEquals(len(obj_assns), 0)
        self.assertEquals(len(sbj_assns), 0)

        with self.assertRaises(NotFound):
            self.rrclient.read(ctd_l0_all_data_process_id)


    def test_transform_function_crd(self):
        tf = TransformFunction(name='simple', module='pyon.ion.process', cls='SimpleProcess')

        tf_id = self.dataprocessclient.create_transform_function(tf)
        self.assertTrue(tf_id)

        tf2_id = self.dataprocessclient.create_transform_function(tf)
        self.assertEquals(tf_id, tf2_id)

        tf_obj = self.dataprocessclient.read_transform_function(tf_id)
        self.assertEquals([tf.name, tf.module, tf.cls, tf.function_type], [tf_obj.name, tf_obj.module, tf_obj.cls, tf_obj.function_type])

        tf.module = 'dev.null'
        self.assertRaises(BadRequest, self.dataprocessclient.create_transform_function, tf)

        self.dataprocessclient.delete_transform_function(tf_id)
        self.assertRaises(NotFound, self.dataprocessclient.read_transform_function, tf_id)
Example #15
0
class TestCTDPChain(IonIntegrationTestCase):
    def setUp(self):
        super(TestCTDPChain, self).setUp()

        self._start_container()
        self.container.start_rel_from_url('res/deploy/r2deploy.yml')

        self.pubsub            = PubsubManagementServiceClient()
        self.process_dispatcher = ProcessDispatcherServiceClient()
        self.dataset_management = DatasetManagementServiceClient()
        self.data_process_management = DataProcessManagementServiceClient()
        self.dataproduct_management = DataProductManagementServiceClient()
        self.resource_registry = ResourceRegistryServiceClient()

        # This is for the time values inside the packets going into the transform
        self.i = 0
        self.cnt = 0

        # Cleanup of queue created by the subscriber
        self.queue_cleanup = []
        self.data_process_cleanup = []

    def _get_new_ctd_L0_packet(self, stream_definition_id, length):

        rdt = RecordDictionaryTool(stream_definition_id=stream_definition_id)
        rdt['time'] = numpy.arange(self.i, self.i+length)

        for field in rdt:
            if isinstance(rdt._pdict.get_context(field).param_type, QuantityType):
                rdt[field] = numpy.array([random.uniform(0.0,75.0)  for i in xrange(length)])

        g = rdt.to_granule()
        self.i+=length

        return g

    def clean_queues(self):
        for queue in self.queue_cleanup:
            xn = self.container.ex_manager.create_xn_queue(queue)
            xn.delete()

    def cleaning_operations(self):
        for dproc_id in self.data_process_cleanup:
            self.data_process_management.delete_data_process(dproc_id)

    def test_ctdp_chain(self):
        """
        Test that packets are processed by a chain of CTDP transforms: L0, L1 and L2
        """

        #-------------------------------------------------------------------------------------
        # Prepare the stream def to be used for transform chain
        #-------------------------------------------------------------------------------------

        #todo Check whether the right parameter dictionary is being used
        self._prepare_stream_def_for_transform_chain()

        #-------------------------------------------------------------------------------------
        # Prepare the data proc defs and in and out data products for the transforms
        #-------------------------------------------------------------------------------------

        # list_args_L0 = [data_proc_def_id, input_dpod_id, output_dpod_id]
        list_args_L0 = self._prepare_things_you_need_to_launch_transform(name_of_transform='L0')

        list_args_L1 = self._prepare_things_you_need_to_launch_transform(name_of_transform='L1')

        list_args_L2_density = self._prepare_things_you_need_to_launch_transform(name_of_transform='L2_density')

        list_args_L2_salinity = self._prepare_things_you_need_to_launch_transform(name_of_transform='L2_salinity')

        log.debug("Got the following args: L0 = %s, L1 = %s, L2 density = %s, L2 salinity = %s", list_args_L0, list_args_L1, list_args_L2_density, list_args_L2_salinity )

        #-------------------------------------------------------------------------------------
        # Launch the CTDP transforms
        #-------------------------------------------------------------------------------------

        L0_data_proc_id = self._launch_transform('L0', *list_args_L0)

        L1_data_proc_id = self._launch_transform('L1', *list_args_L1)

        L2_density_data_proc_id = self._launch_transform('L2_density', *list_args_L2_density)

        L2_salinity_data_proc_id = self._launch_transform('L2_salinity', *list_args_L2_salinity)

        log.debug("Launched the transforms: L0 = %s, L1 = %s", L0_data_proc_id, L1_data_proc_id)

        #-------------------------------------------------------------------------
        # Start a subscriber listening to the output of each of the transforms
        #-------------------------------------------------------------------------

        ar_L0 = self.start_subscriber_listening_to_L0_transform(out_data_prod_id=list_args_L0[2])
        ar_L1 = self.start_subscriber_listening_to_L1_transform(out_data_prod_id=list_args_L1[2])

        ar_L2_density = self.start_subscriber_listening_to_L2_density_transform(out_data_prod_id=list_args_L2_density[2])
        ar_L2_salinity = self.start_subscriber_listening_to_L2_density_transform(out_data_prod_id=list_args_L2_salinity[2])


        #-------------------------------------------------------------------
        # Publish the parsed packets that the L0 transform is listening for
        #-------------------------------------------------------------------

        stream_id, stream_route = self.get_stream_and_route_for_data_prod(data_prod_id= list_args_L0[1])
        self._publish_for_L0_transform(stream_id, stream_route)

        #-------------------------------------------------------------------
        # Check the granules being outputted by the transforms
        #-------------------------------------------------------------------
        self._check_granule_from_L0_transform(ar_L0)
        self._check_granule_from_L1_transform(ar_L1)
        self._check_granule_from_L2_density_transform(ar_L2_density)
        self._check_granule_from_L2_salinity_transform(ar_L2_salinity)


    def _prepare_stream_def_for_transform_chain(self):

        # Get the stream definition for the stream using the parameter dictionary
#        pdict_id = self.dataset_management.read_parameter_dictionary_by_name(parameter_dict_name, id_only=True)
        pdict_id = self._create_input_param_dict_for_test(parameter_dict_name = 'input_param_for_L0')
        self.in_stream_def_id_for_L0 = self.pubsub.create_stream_definition(name='stream_def_for_L0', parameter_dictionary_id=pdict_id)
        self.addCleanup(self.pubsub.delete_stream_definition, self.in_stream_def_id_for_L0)

        pdict_id = self._create_input_param_dict_for_test(parameter_dict_name = 'params_for_other_transforms')
        self.stream_def_id = self.pubsub.create_stream_definition(name='stream_def_for_CTDBP_transforms', parameter_dictionary_id=pdict_id)
        self.addCleanup(self.pubsub.delete_stream_definition, self.stream_def_id)

        log.debug("Got the parsed parameter dictionary: id: %s", pdict_id)
        log.debug("Got the stream def for parsed input to L0: %s", self.in_stream_def_id_for_L0)
        log.debug("Got the stream def for other other streams: %s", self.stream_def_id)

    def _prepare_things_you_need_to_launch_transform(self, name_of_transform = ''):

        module, class_name = self._get_class_module(name_of_transform)

        #-------------------------------------------------------------------------
        # Data Process Definition
        #-------------------------------------------------------------------------

        dpd_obj = IonObject(RT.DataProcessDefinition,
            name= 'CTDBP_%s_Transform' % name_of_transform,
            description= 'Data Process Definition for the CTDBP %s transform.' % name_of_transform,
            module= module,
            class_name=class_name)

        data_proc_def_id = self.data_process_management.create_data_process_definition(dpd_obj)
        self.addCleanup(self.data_process_management.delete_data_process_definition, data_proc_def_id)
        log.debug("created data process definition: id = %s", data_proc_def_id)

        #-------------------------------------------------------------------------
        # Construct temporal and spatial Coordinate Reference System objects for the data product objects
        #-------------------------------------------------------------------------

        tdom, sdom = time_series_domain()
        sdom = sdom.dump()
        tdom = tdom.dump()

        #-------------------------------------------------------------------------
        # Get the names of the input and output data products
        #-------------------------------------------------------------------------

        input_dpod_id = ''
        output_dpod_id = ''

        if name_of_transform == 'L0':

            input_dpod_id = self._create_input_data_product('parsed', tdom, sdom)
            output_dpod_id = self._create_output_data_product('L0', tdom, sdom)

            self.in_prod_for_L1 = output_dpod_id

        elif name_of_transform == 'L1':

            input_dpod_id = self.in_prod_for_L1
            output_dpod_id = self._create_output_data_product('L1', tdom, sdom)

            self.in_prod_for_L2 = output_dpod_id

        elif name_of_transform == 'L2_density':

            input_dpod_id = self.in_prod_for_L2
            output_dpod_id = self._create_output_data_product('L2_density', tdom, sdom)

        elif name_of_transform == 'L2_salinity':

            input_dpod_id = self.in_prod_for_L2
            output_dpod_id = self._create_output_data_product('L2_salinity', tdom, sdom)

        else:
            self.fail("something bad happened")

        return [data_proc_def_id, input_dpod_id, output_dpod_id]

    def _get_class_module(self, name_of_transform):

        options = {'L0' : self._class_module_L0,
                   'L1' : self._class_module_L1,
                   'L2_density' : self._class_module_L2_density,
                   'L2_salinity' : self._class_module_L2_salinity}

        return options[name_of_transform]()

    def _class_module_L0(self):
        module = 'ion.processes.data.transforms.ctdbp.ctdbp_L0'
        class_name = 'CTDBP_L0_all'
        return module, class_name

    def _class_module_L1(self):

        module = 'ion.processes.data.transforms.ctdbp.ctdbp_L1'
        class_name = 'CTDBP_L1_Transform'
        return module, class_name

    def _class_module_L2_density(self):

        module = 'ion.processes.data.transforms.ctdbp.ctdbp_L2_density'
        class_name = 'CTDBP_DensityTransform'

        return module, class_name

    def _class_module_L2_salinity(self):

        module = 'ion.processes.data.transforms.ctdbp.ctdbp_L2_salinity'
        class_name = 'CTDBP_SalinityTransform'

        return module, class_name

    def _create_input_data_product(self, name_of_transform = '', tdom = None, sdom = None):

        dpod_obj = IonObject(RT.DataProduct,
            name='dprod_%s' % name_of_transform,
            description='for_%s' % name_of_transform,
            temporal_domain = tdom,
            spatial_domain = sdom)

        log.debug("the stream def id: %s", self.stream_def_id)

        if name_of_transform == 'L0':
            stream_def_id = self.in_stream_def_id_for_L0
        else:
            stream_def_id = self.stream_def_id


        dpod_id = self.dataproduct_management.create_data_product(data_product=dpod_obj,
            stream_definition_id= stream_def_id
        )
        self.addCleanup(self.dataproduct_management.delete_data_product, dpod_id)

        log.debug("got the data product out. id: %s", dpod_id)

        return dpod_id

    def _create_output_data_product(self, name_of_transform = '', tdom = None, sdom = None):

        dpod_obj = IonObject(RT.DataProduct,
            name='dprod_%s' % name_of_transform,
            description='for_%s' % name_of_transform,
            temporal_domain = tdom,
            spatial_domain = sdom)

        if name_of_transform == 'L0':
            stream_def_id = self.in_stream_def_id_for_L0
        else:
            stream_def_id = self.stream_def_id

        dpod_id = self.dataproduct_management.create_data_product(data_product=dpod_obj,
            stream_definition_id=stream_def_id
        )
        self.addCleanup(self.dataproduct_management.delete_data_product, dpod_id)

        return dpod_id

    def _launch_transform(self, name_of_transform = '', data_proc_def_id = None, input_dpod_id = None, output_dpod_id = None):

        # We need the key name here to be "L2_stream", since when the data process is launched, this name goes into
        # the config as in config.process.publish_streams.L2_stream when the config is used to launch the data process

        if name_of_transform in ['L0', 'L1']:
            binding = '%s_stream' % name_of_transform
        elif name_of_transform == 'L2_salinity':
            binding = 'salinity'
        elif name_of_transform == 'L2_density':
            binding = 'density'

        config = None
        if name_of_transform == 'L1':
            config = self._create_calibration_coefficients_dict()
        elif name_of_transform == 'L2_density':
            config = DotDict()
            config.process = {'lat' : 32.7153, 'lon' : 117.1564}

        log.debug("launching transform for name: %s",name_of_transform )
        log.debug("launching transform for data_proc_def_id: %s\ninput_dpod_id: %s\noutput_dpod_id: %s", data_proc_def_id, input_dpod_id, output_dpod_id )

        data_proc_id = self.data_process_management.create_data_process(
                                                        data_process_definition_id = data_proc_def_id,
                                                        in_data_product_ids= [input_dpod_id],
                                                        out_data_product_ids = [output_dpod_id],
                                                        configuration = config)

        self.addCleanup(self.data_process_management.delete_data_process, data_proc_id)

        self.data_process_management.activate_data_process(data_proc_id)
        self.addCleanup(self.data_process_management.deactivate_data_process, data_proc_id)

        log.debug("Created a data process for ctdbp %s transform: id = %s", name_of_transform, data_proc_id)

        return data_proc_id

    def get_stream_and_route_for_data_prod(self, data_prod_id = ''):

        stream_ids, _ = self.resource_registry.find_objects(data_prod_id, PRED.hasStream, RT.Stream, True)
        stream_id = stream_ids[0]
        input_stream = self.resource_registry.read(stream_id)
        stream_route = input_stream.stream_route

        return stream_id, stream_route

    def start_subscriber_listening_to_L0_transform(self, out_data_prod_id = ''):

        #----------- Create subscribers to listen to the two transforms --------------------------------

        stream_ids, _ = self.resource_registry.find_objects(out_data_prod_id, PRED.hasStream, RT.Stream, True)
        output_stream_id_of_transform = stream_ids[0]

        ar_L0 = self._start_subscriber_to_transform( name_of_transform = 'L0',stream_id=output_stream_id_of_transform)

        return ar_L0


    def start_subscriber_listening_to_L1_transform(self, out_data_prod_id = ''):

        #----------- Create subscribers to listen to the two transforms --------------------------------

        stream_ids, _ = self.resource_registry.find_objects(out_data_prod_id, PRED.hasStream, RT.Stream, True)
        output_stream_id_of_transform = stream_ids[0]

        ar_L1 = self._start_subscriber_to_transform( name_of_transform = 'L1',stream_id=output_stream_id_of_transform)

        return ar_L1


    def start_subscriber_listening_to_L2_density_transform(self, out_data_prod_id = ''):

        #----------- Create subscribers to listen to the two transforms --------------------------------

        stream_ids, _ = self.resource_registry.find_objects(out_data_prod_id, PRED.hasStream, RT.Stream, True)
        output_stream_id_of_transform = stream_ids[0]

        ar_L2_density = self._start_subscriber_to_transform( name_of_transform = 'L2_density', stream_id=output_stream_id_of_transform)

        return ar_L2_density

    def start_subscriber_listening_to_L2_salinity_transform(self, out_data_prod_id = ''):

        #----------- Create subscribers to listen to the two transforms --------------------------------

        stream_ids, _ = self.resource_registry.find_objects(out_data_prod_id, PRED.hasStream, RT.Stream, True)
        output_stream_id_of_transform = stream_ids[0]

        ar_L2_density = self._start_subscriber_to_transform( name_of_transform = 'L2_salinity',stream_id=output_stream_id_of_transform)

        return ar_L2_density

    def _start_subscriber_to_transform(self,  name_of_transform = '', stream_id = ''):

        ar = gevent.event.AsyncResult()
        def subscriber(m,r,s):
            ar.set(m)

        sub = StandaloneStreamSubscriber(exchange_name='sub_%s' % name_of_transform, callback=subscriber)

        # Note that this running the below line creates an exchange since none of that name exists before
        sub_id = self.pubsub.create_subscription('subscriber_to_transform_%s' % name_of_transform,
            stream_ids=[stream_id],
            exchange_name='sub_%s' % name_of_transform)
        self.addCleanup(self.pubsub.delete_subscription, sub_id)

        self.pubsub.activate_subscription(sub_id)
        self.addCleanup(self.pubsub.deactivate_subscription, sub_id)

        sub.start()
        self.addCleanup(sub.stop)

        return ar

    def _check_granule_from_L0_transform(self, ar = None):

        granule_from_transform = ar.get(timeout=20)
        log.debug("Got the following granule from the L0 transform: %s", granule_from_transform)

        # Check the algorithm being applied
        self._check_application_of_L0_algorithm(granule_from_transform)


    def _check_granule_from_L1_transform(self, ar = None):

        granule_from_transform = ar.get(timeout=20)
        log.debug("Got the following granule from the L1 transform: %s", granule_from_transform)

        # Check the algorithm being applied
        self._check_application_of_L1_algorithm(granule_from_transform)

    def _check_granule_from_L2_density_transform(self, ar = None):

        granule_from_transform = ar.get(timeout=20)
        log.debug("Got the following granule from the L2 transform: %s", granule_from_transform)

        # Check the algorithm being applied
        self._check_application_of_L2_density_algorithm(granule_from_transform)

    def _check_granule_from_L2_salinity_transform(self, ar = None):

        granule_from_transform = ar.get(timeout=20)
        log.debug("Got the following granule from the L2 transform: %s", granule_from_transform)

        # Check the algorithm being applied
        self._check_application_of_L2_salinity_algorithm(granule_from_transform)


    def _check_application_of_L0_algorithm(self, granule = None):
        """ Check the algorithm applied by the L0 transform """

        rdt = RecordDictionaryTool.load_from_granule(granule)

        list_of_expected_keys = ['time', 'pressure', 'conductivity', 'temperature']

        for key in list_of_expected_keys:
            self.assertIn(key, rdt)

    def _check_application_of_L1_algorithm(self, granule = None):
        """ Check the algorithm applied by the L1 transform """
        rdt = RecordDictionaryTool.load_from_granule(granule)

        list_of_expected_keys = [ 'time', 'pressure', 'conductivity', 'temp']

        for key in list_of_expected_keys:
            self.assertIn(key, rdt)

    def _check_application_of_L2_density_algorithm(self, granule = None):
        """ Check the algorithm applied by the L2 transform """
        rdt = RecordDictionaryTool.load_from_granule(granule)

        list_of_expected_keys = ['time', 'density']

        for key in list_of_expected_keys:
            self.assertIn(key, rdt)

    def _check_application_of_L2_salinity_algorithm(self, granule = None):
        """ Check the algorithm applied by the L2 transform """
        rdt = RecordDictionaryTool.load_from_granule(granule)

        list_of_expected_keys = ['time', 'salinity']

        for key in list_of_expected_keys:
            self.assertIn(key, rdt)

    def _publish_for_L0_transform(self, input_stream_id = None, stream_route = None):

        #----------- Publish on that stream so that the transform can receive it --------------------------------
        self._publish_to_transform(input_stream_id, stream_route )

    def _publish_to_transform(self, stream_id = '', stream_route = None):

        pub = StandaloneStreamPublisher(stream_id, stream_route)
        publish_granule = self._get_new_ctd_L0_packet(stream_definition_id=self.in_stream_def_id_for_L0, length = 5)
        pub.publish(publish_granule)

        log.debug("Published the following granule: %s", publish_granule)


    def _create_input_param_dict_for_test(self, parameter_dict_name = ''):

        pdict = ParameterDictionary()

        t_ctxt = ParameterContext('time', param_type=QuantityType(value_encoding=numpy.dtype('float64')))
        t_ctxt.axis = AxisTypeEnum.TIME
        t_ctxt.uom = 'seconds since 01-01-1900'
        pdict.add_context(t_ctxt)

        cond_ctxt = ParameterContext('conductivity', param_type=QuantityType(value_encoding=numpy.dtype('float32')))
        cond_ctxt.uom = 'Siemens_per_meter'
        pdict.add_context(cond_ctxt)

        pres_ctxt = ParameterContext('pressure', param_type=QuantityType(value_encoding=numpy.dtype('float32')))
        pres_ctxt.uom = 'Pascal'
        pdict.add_context(pres_ctxt)

        if parameter_dict_name == 'input_param_for_L0':
            temp_ctxt = ParameterContext('temperature', param_type=QuantityType(value_encoding=numpy.dtype('float32')))
        else:
            temp_ctxt = ParameterContext('temp', param_type=QuantityType(value_encoding=numpy.dtype('float32')))

        temp_ctxt.uom = 'degree_kelvin'
        pdict.add_context(temp_ctxt)

        dens_ctxt = ParameterContext('density', param_type=QuantityType(value_encoding=numpy.dtype('float32')))
        dens_ctxt.uom = 'g/m'
        pdict.add_context(dens_ctxt)

        sal_ctxt = ParameterContext('salinity', param_type=QuantityType(value_encoding=numpy.dtype('float32')))
        sal_ctxt.uom = 'PSU'
        pdict.add_context(sal_ctxt)

        #create temp streamdef so the data product can create the stream
        pc_list = []
        for pc_k, pc in pdict.iteritems():
            ctxt_id = self.dataset_management.create_parameter_context(pc_k, pc[1].dump())
            pc_list.append(ctxt_id)
            if parameter_dict_name == 'input_param_for_L0':
                self.addCleanup(self.dataset_management.delete_parameter_context,ctxt_id)
            elif pc[1].name == 'temp':
                self.addCleanup(self.dataset_management.delete_parameter_context,ctxt_id)

        pdict_id = self.dataset_management.create_parameter_dictionary(parameter_dict_name, pc_list)
        self.addCleanup(self.dataset_management.delete_parameter_dictionary, pdict_id)

        return pdict_id



    def _create_calibration_coefficients_dict(self):
        config = DotDict()
        config.process.calibration_coeffs = {
                  'temp_calibration_coeffs': {
                      'TA0' : 1.561342e-03,
                      'TA1' : 2.561486e-04,
                      'TA2' : 1.896537e-07,
                      'TA3' : 1.301189e-07,
                      'TOFFSET' : 0.000000e+00
                  },

                  'cond_calibration_coeffs':  {
                      'G' : -9.896568e-01,
                      'H' : 1.316599e-01,
                      'I' : -2.213854e-04,
                      'J' : 3.292199e-05,
                      'CPCOR' : -9.570000e-08,
                      'CTCOR' : 3.250000e-06,
                      'CSLOPE' : 1.000000e+00
                  },

                  'pres_calibration_coeffs' : {
                      'PA0' : 4.960417e-02,
                      'PA1' : 4.883682e-04,
                      'PA2' : -5.687309e-12,
                      'PTCA0' : 5.249802e+05,
                      'PTCA1' : 7.595719e+00,
                      'PTCA2' : -1.322776e-01,
                      'PTCB0' : 2.503125e+01,
                      'PTCB1' : 5.000000e-05,
                      'PTCB2' : 0.000000e+00,
                      'PTEMPA0' : -6.431504e+01,
                      'PTEMPA1' : 5.168177e+01,
                      'PTEMPA2' : -2.847757e-01,
                      'POFFSET' : 0.000000e+00
                  }

              }


        return config
class TestDataProductProvenance(IonIntegrationTestCase):

    def setUp(self):
        # Start container
        #print 'instantiating container'
        self._start_container()

        self.container.start_rel_from_url('res/deploy/r2deploy.yml')

        # Now create client to DataProductManagementService
        self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
        self.damsclient = DataAcquisitionManagementServiceClient(node=self.container.node)
        self.pubsubclient =  PubsubManagementServiceClient(node=self.container.node)
        self.ingestclient = IngestionManagementServiceClient(node=self.container.node)
        self.dpmsclient = DataProductManagementServiceClient(node=self.container.node)
        self.dataprocessclient = DataProcessManagementServiceClient(node=self.container.node)
        self.imsclient = InstrumentManagementServiceClient(node=self.container.node)
        self.omsclient = ObservatoryManagementServiceClient(node=self.container.node)
        self.process_dispatcher   = ProcessDispatcherServiceClient()

        self.dataset_management = DatasetManagementServiceClient()

        # create missing data process definition
        dpd_obj = IonObject(RT.DataProcessDefinition,
                            name=LOGICAL_TRANSFORM_DEFINITION_NAME,
                            description="normally in preload",
                            module='ion.processes.data.transforms.logical_transform',
                            class_name='logical_transform')
        self.dataprocessclient.create_data_process_definition(dpd_obj)

        # deactivate all data processes when tests are complete
        def killAllDataProcesses():
            for proc_id in self.rrclient.find_resources(RT.DataProcess, None, None, True)[0]:
                self.dataprocessclient.deactivate_data_process(proc_id)
                self.dataprocessclient.delete_data_process(proc_id)
        self.addCleanup(killAllDataProcesses)


    #@unittest.skip('not ready')
    def test_get_provenance(self):

        #create a deployment with metadata and an initial site and device
        instrument_site_obj = IonObject(RT.InstrumentSite,
                                        name='InstrumentSite1',
                                        description='test instrument site')
        instrument_site_id = self.omsclient.create_instrument_site(instrument_site_obj, "")
        log.debug( 'test_get_provenance: new instrument_site_id id = %s ', str(instrument_site_id))


        # Create InstrumentModel
        instModel_obj = IonObject(RT.InstrumentModel,
                                  name='SBE37IMModel',
                                  description="SBE37IMModel" )

        try:
            instModel_id = self.imsclient.create_instrument_model(instModel_obj)
        except BadRequest as ex:
            self.fail("failed to create new InstrumentModel: %s" %ex)
        log.debug( 'test_get_provenance: new InstrumentModel id = %s ', str(instModel_id))

        self.omsclient.assign_instrument_model_to_instrument_site(instModel_id, instrument_site_id)


        # Create InstrumentAgent
        parsed_config = StreamConfiguration(stream_name='parsed', parameter_dictionary_name='ctd_parsed_param_dict', records_per_granule=2, granule_publish_rate=5 )
        instAgent_obj = IonObject(RT.InstrumentAgent,
                                name='agent007',
                                description="SBE37IMAgent",
                                driver_uri="http://sddevrepo.oceanobservatories.org/releases/seabird_sbe37smb_ooicore-0.0.1-py2.7.egg",
                                stream_configurations = [parsed_config] )
        try:
            instAgent_id = self.imsclient.create_instrument_agent(instAgent_obj)
        except BadRequest as ex:
            self.fail("failed to create new InstrumentAgent: %s" %ex)
        log.debug( 'test_get_provenance:new InstrumentAgent id = %s', instAgent_id)

        self.imsclient.assign_instrument_model_to_instrument_agent(instModel_id, instAgent_id)

        # Create InstrumentDevice
        log.debug('test_get_provenance: Create instrument resource to represent the SBE37 (SA Req: L4-CI-SA-RQ-241) ')
        instDevice_obj = IonObject(RT.InstrumentDevice, name='SBE37IMDevice', description="SBE37IMDevice", serial_number="12345" )
        try:
            instDevice_id = self.imsclient.create_instrument_device(instrument_device=instDevice_obj)
            self.imsclient.assign_instrument_model_to_instrument_device(instModel_id, instDevice_id)
        except BadRequest as ex:
            self.fail("failed to create new InstrumentDevice: %s" %ex)

        log.debug("test_get_provenance: new InstrumentDevice id = %s    (SA Req: L4-CI-SA-RQ-241) ", instDevice_id)


        #-------------------------------
        # Create CTD Parsed  data product
        #-------------------------------
        tdom, sdom = time_series_domain()
        sdom = sdom.dump()
        tdom = tdom.dump()


        pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
        parsed_stream_def_id = self.pubsubclient.create_stream_definition(name='parsed', parameter_dictionary_id=pdict_id)

        log.debug( 'test_get_provenance:Creating new CDM data product with a stream definition')


        dp_obj = IonObject(RT.DataProduct,
            name='the parsed data',
            description='ctd stream test',
            temporal_domain = tdom,
            spatial_domain = sdom)

        ctd_parsed_data_product = self.dpmsclient.create_data_product(data_product=dp_obj, stream_definition_id=parsed_stream_def_id)
        log.debug( 'new dp_id = %s', ctd_parsed_data_product)

        self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=ctd_parsed_data_product)
        self.dpmsclient.activate_data_product_persistence(data_product_id=ctd_parsed_data_product)

        #-------------------------------
        # create a data product for the site to pass the OMS check.... we need to remove this check
        #-------------------------------
        dp_obj = IonObject(RT.DataProduct,
            name='DP1',
            description='some new dp',
            temporal_domain = tdom,
            spatial_domain = sdom)

        log_data_product_id = self.dpmsclient.create_data_product(dp_obj, parsed_stream_def_id)
        self.omsclient.create_site_data_product(instrument_site_id, log_data_product_id)


        #-------------------------------
        # Deploy instrument device to instrument site
        #-------------------------------
        deployment_obj = IonObject(RT.Deployment,
                                        name='TestDeployment',
                                        description='some new deployment')
        deployment_id = self.omsclient.create_deployment(deployment_obj)
        self.omsclient.deploy_instrument_site(instrument_site_id, deployment_id)
        self.imsclient.deploy_instrument_device(instDevice_id, deployment_id)

        log.debug("test_create_deployment: created deployment id: %s ", str(deployment_id) )

        self.omsclient.activate_deployment(deployment_id)
        inst_device_objs, _ = self.rrclient.find_objects(subject=instrument_site_id, predicate=PRED.hasDevice, object_type=RT.InstrumetDevice, id_only=False)
        log.debug("test_create_deployment: deployed device: %s ", str(inst_device_objs[0]) )

        #-------------------------------
        # Create the agent instance
        #-------------------------------

        port_agent_config = {
            'device_addr':  CFG.device.sbe37.host,
            'device_port':  CFG.device.sbe37.port,
            'process_type': PortAgentProcessType.UNIX,
            'binary_path': "port_agent",
            'port_agent_addr': 'localhost',
            'command_port': CFG.device.sbe37.port_agent_cmd_port,
            'data_port': CFG.device.sbe37.port_agent_data_port,
            'log_level': 5,
            'type': PortAgentType.ETHERNET
        }


        instAgentInstance_obj = IonObject(RT.InstrumentAgentInstance, name='SBE37IMAgentInstance',
            description="SBE37IMAgentInstance",
            port_agent_config = port_agent_config)

        instAgentInstance_id = self.imsclient.create_instrument_agent_instance(instAgentInstance_obj, instAgent_id, instDevice_id)


        #-------------------------------
        # L0 Conductivity - Temperature - Pressure: Data Process Definition
        #-------------------------------
        log.debug("TestDataProductProvenance: create data process definition ctd_L0_all")
        dpd_obj = IonObject(RT.DataProcessDefinition,
                            name='ctd_L0_all',
                            description='transform ctd package into three separate L0 streams',
                            module='ion.processes.data.transforms.ctd.ctd_L0_all',
                            class_name='ctd_L0_all')
        try:
            ctd_L0_all_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
        except BadRequest as ex:
            self.fail("failed to create new ctd_L0_all data process definition: %s" %ex)


        #-------------------------------
        # L1 Conductivity: Data Process Definition
        #-------------------------------
        log.debug("TestDataProductProvenance: create data process definition CTDL1ConductivityTransform")
        dpd_obj = IonObject(RT.DataProcessDefinition,
                            name='ctd_L1_conductivity',
                            description='create the L1 conductivity data product',
                            module='ion.processes.data.transforms.ctd.ctd_L1_conductivity',
                            class_name='CTDL1ConductivityTransform')
        try:
            ctd_L1_conductivity_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
        except BadRequest as ex:
            self.fail("failed to create new CTDL1ConductivityTransform data process definition: %s" %ex)

        #-------------------------------
        # L1 Pressure: Data Process Definition
        #-------------------------------
        log.debug("TestDataProductProvenance: create data process definition CTDL1PressureTransform")
        dpd_obj = IonObject(RT.DataProcessDefinition,
                            name='ctd_L1_pressure',
                            description='create the L1 pressure data product',
                            module='ion.processes.data.transforms.ctd.ctd_L1_pressure',
                            class_name='CTDL1PressureTransform')
        try:
            ctd_L1_pressure_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
        except BadRequest as ex:
            self.fail("failed to create new CTDL1PressureTransform data process definition: %s" %ex)


        #-------------------------------
        # L1 Temperature: Data Process Definition
        #-------------------------------
        log.debug("TestDataProductProvenance: create data process definition CTDL1TemperatureTransform")
        dpd_obj = IonObject(RT.DataProcessDefinition,
                            name='ctd_L1_temperature',
                            description='create the L1 temperature data product',
                            module='ion.processes.data.transforms.ctd.ctd_L1_temperature',
                            class_name='CTDL1TemperatureTransform')
        try:
            ctd_L1_temperature_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
        except BadRequest as ex:
            self.fail("failed to create new CTDL1TemperatureTransform data process definition: %s" %ex)


        #-------------------------------
        # L2 Salinity: Data Process Definition
        #-------------------------------
        log.debug("TestDataProductProvenance: create data process definition SalinityTransform")
        dpd_obj = IonObject(RT.DataProcessDefinition,
                            name='ctd_L2_salinity',
                            description='create the L1 temperature data product',
                            module='ion.processes.data.transforms.ctd.ctd_L2_salinity',
                            class_name='SalinityTransform')
        try:
            ctd_L2_salinity_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
        except BadRequest as ex:
            self.fail("failed to create new SalinityTransform data process definition: %s" %ex)


        #-------------------------------
        # L2 Density: Data Process Definition
        #-------------------------------
        log.debug("TestDataProductProvenance: create data process definition DensityTransform")
        dpd_obj = IonObject(RT.DataProcessDefinition,
                            name='ctd_L2_density',
                            description='create the L1 temperature data product',
                            module='ion.processes.data.transforms.ctd.ctd_L2_density',
                            class_name='DensityTransform')
        try:
            ctd_L2_density_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
        except BadRequest as ex:
            self.fail("failed to create new DensityTransform data process definition: %s" %ex)



        #-------------------------------
        # L0 Conductivity - Temperature - Pressure: Output Data Products
        #-------------------------------

        outgoing_stream_l0_conductivity_id = self.pubsubclient.create_stream_definition(name='L0_Conductivity', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_conductivity_id, ctd_L0_all_dprocdef_id, binding='conductivity' )

        outgoing_stream_l0_pressure_id = self.pubsubclient.create_stream_definition(name='L0_Pressure', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_pressure_id, ctd_L0_all_dprocdef_id, binding='pressure' )

        outgoing_stream_l0_temperature_id = self.pubsubclient.create_stream_definition(name='L0_Temperature', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_temperature_id, ctd_L0_all_dprocdef_id, binding='temperature' )


        self.output_products={}
        log.debug("TestDataProductProvenance: create output data product L0 conductivity")

        ctd_l0_conductivity_output_dp_obj = IonObject(  RT.DataProduct,
                                                        name='L0_Conductivity',
                                                        description='transform output conductivity',
                                                        temporal_domain = tdom,
                                                        spatial_domain = sdom)

        ctd_l0_conductivity_output_dp_id = self.dpmsclient.create_data_product(ctd_l0_conductivity_output_dp_obj,
                                                                                outgoing_stream_l0_conductivity_id)

        self.output_products['conductivity'] = ctd_l0_conductivity_output_dp_id


        log.debug("TestDataProductProvenance: create output data product L0 pressure")

        ctd_l0_pressure_output_dp_obj = IonObject(  RT.DataProduct,
                                                    name='L0_Pressure',
                                                    description='transform output pressure',
                                                    temporal_domain = tdom,
                                                    spatial_domain = sdom)

        ctd_l0_pressure_output_dp_id = self.dpmsclient.create_data_product(ctd_l0_pressure_output_dp_obj,
                                                                            outgoing_stream_l0_pressure_id)
        self.output_products['pressure'] = ctd_l0_pressure_output_dp_id

        log.debug("TestDataProductProvenance: create output data product L0 temperature")

        ctd_l0_temperature_output_dp_obj = IonObject(   RT.DataProduct,
                                                        name='L0_Temperature',
                                                        description='transform output temperature',
                                                        temporal_domain = tdom,
                                                        spatial_domain = sdom)

        ctd_l0_temperature_output_dp_id = self.dpmsclient.create_data_product(ctd_l0_temperature_output_dp_obj,
                                                                                outgoing_stream_l0_temperature_id)
        self.output_products['temperature'] = ctd_l0_temperature_output_dp_id


        #-------------------------------
        # L1 Conductivity - Temperature - Pressure: Output Data Products
        #-------------------------------

        outgoing_stream_l1_conductivity_id = self.pubsubclient.create_stream_definition(name='L1_conductivity', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l1_conductivity_id, ctd_L1_conductivity_dprocdef_id, binding='conductivity' )

        outgoing_stream_l1_pressure_id = self.pubsubclient.create_stream_definition(name='L1_Pressure', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l1_pressure_id, ctd_L1_pressure_dprocdef_id, binding='pressure' )

        outgoing_stream_l1_temperature_id = self.pubsubclient.create_stream_definition(name='L1_Temperature', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l1_temperature_id, ctd_L1_temperature_dprocdef_id, binding='temperature' )

        log.debug("TestDataProductProvenance: create output data product L1 conductivity")

        ctd_l1_conductivity_output_dp_obj = IonObject(RT.DataProduct,
            name='L1_Conductivity',
            description='transform output L1 conductivity',
            temporal_domain = tdom,
            spatial_domain = sdom)

        ctd_l1_conductivity_output_dp_id = self.dpmsclient.create_data_product(ctd_l1_conductivity_output_dp_obj,
                                                                                outgoing_stream_l1_conductivity_id)


        log.debug("TestDataProductProvenance: create output data product L1 pressure")

        ctd_l1_pressure_output_dp_obj = IonObject(  RT.DataProduct,
                                                    name='L1_Pressure',
                                                    description='transform output L1 pressure',
                                                    temporal_domain = tdom,
                                                    spatial_domain = sdom)

        ctd_l1_pressure_output_dp_id = self.dpmsclient.create_data_product(ctd_l1_pressure_output_dp_obj,
                                                                            outgoing_stream_l1_pressure_id)


        log.debug("TestDataProductProvenance: create output data product L1 temperature")

        ctd_l1_temperature_output_dp_obj = IonObject(   RT.DataProduct,
                                                        name='L1_Temperature',
                                                        description='transform output L1 temperature',
                                                        temporal_domain = tdom,
                                                        spatial_domain = sdom)

        ctd_l1_temperature_output_dp_id = self.dpmsclient.create_data_product(ctd_l1_temperature_output_dp_obj,
                                                                                outgoing_stream_l1_temperature_id)

        #-------------------------------
        # L2 Salinity - Density: Output Data Products
        #-------------------------------

        outgoing_stream_l2_salinity_id = self.pubsubclient.create_stream_definition(name='L2_salinity', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l2_salinity_id, ctd_L2_salinity_dprocdef_id, binding='salinity' )

        outgoing_stream_l2_density_id = self.pubsubclient.create_stream_definition(name='L2_Density', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l2_density_id, ctd_L2_density_dprocdef_id, binding='density' )

        log.debug("TestDataProductProvenance: create output data product L2 Salinity")

        ctd_l2_salinity_output_dp_obj = IonObject( RT.DataProduct,
                                                    name='L2_Salinity',
                                                    description='transform output L2 salinity',
                                                    temporal_domain = tdom,
                                                    spatial_domain = sdom)


        ctd_l2_salinity_output_dp_id = self.dpmsclient.create_data_product(ctd_l2_salinity_output_dp_obj,
                                                                            outgoing_stream_l2_salinity_id)


        log.debug("TestDataProductProvenance: create output data product L2 Density")

#        ctd_l2_density_output_dp_obj = IonObject(   RT.DataProduct,
#                                                    name='L2_Density',
#                                                    description='transform output pressure',
#                                                    temporal_domain = tdom,
#                                                    spatial_domain = sdom)
#
#        ctd_l2_density_output_dp_id = self.dpmsclient.create_data_product(ctd_l2_density_output_dp_obj,
#                                                                            outgoing_stream_l2_density_id,
#                                                                            parameter_dictionary)

        contactInfo = ContactInformation()
        contactInfo.individual_names_given = "Bill"
        contactInfo.individual_name_family = "Smith"
        contactInfo.street_address = "111 First St"
        contactInfo.city = "San Diego"
        contactInfo.email = "*****@*****.**"
        contactInfo.phones = ["858-555-6666"]
        contactInfo.country = "USA"
        contactInfo.postal_code = "92123"

        ctd_l2_density_output_dp_obj = IonObject(   RT.DataProduct,
                                                    name='L2_Density',
                                                    description='transform output pressure',
                                                    contacts = [contactInfo],
                                                    iso_topic_category = "my_iso_topic_category_here",
                                                    quality_control_level = "1",
                                                    temporal_domain = tdom,
                                                    spatial_domain = sdom)

        ctd_l2_density_output_dp_id = self.dpmsclient.create_data_product(ctd_l2_density_output_dp_obj,
                                                                            outgoing_stream_l2_density_id)

        #-------------------------------
        # L0 Conductivity - Temperature - Pressure: Create the data process
        #-------------------------------
        log.debug("TestDataProductProvenance: create L0 all data_process start")
        try:
            ctd_l0_all_data_process_id = self.dataprocessclient.create_data_process(ctd_L0_all_dprocdef_id, [ctd_parsed_data_product], self.output_products)
            #activate only this data process just for coverage
            self.dataprocessclient.activate_data_process(ctd_l0_all_data_process_id)
        except BadRequest as ex:
            self.fail("failed to create new data process: %s" %ex)

        contents = "this is the lookup table  contents, replace with a file..."
        att = IonObject(RT.Attachment, name='deviceLookupTable', content=base64.encodestring(contents), keywords=['DataProcessInput'], attachment_type=AttachmentType.ASCII)
        deviceAttachment = self.rrclient.create_attachment(ctd_l0_all_data_process_id, att)
        log.info( 'test_createTransformsThenActivateInstrument: InstrumentDevice attachment id = %s', deviceAttachment)

        log.debug("TestDataProductProvenance: create L0 all data_process return")


        #-------------------------------
        # L1 Conductivity: Create the data process
        #-------------------------------
        log.debug("TestDataProductProvenance: create L1 Conductivity data_process start")
        try:
            l1_conductivity_data_process_id = self.dataprocessclient.create_data_process(ctd_L1_conductivity_dprocdef_id, [ctd_l0_conductivity_output_dp_id], {'conductivity':ctd_l1_conductivity_output_dp_id})
            self.dataprocessclient.activate_data_process(l1_conductivity_data_process_id)
        except BadRequest as ex:
            self.fail("failed to create new data process: %s" %ex)




        #-------------------------------
        # L1 Pressure: Create the data process
        #-------------------------------
        log.debug("TestDataProductProvenance: create L1_Pressure data_process start")
        try:
            l1_pressure_data_process_id = self.dataprocessclient.create_data_process(ctd_L1_pressure_dprocdef_id, [ctd_l0_pressure_output_dp_id], {'pressure':ctd_l1_pressure_output_dp_id})
            self.dataprocessclient.activate_data_process(l1_pressure_data_process_id)
        except BadRequest as ex:
            self.fail("failed to create new data process: %s" %ex)


        #-------------------------------
        # L1 Temperature: Create the data process
        #-------------------------------
        log.debug("TestDataProductProvenance: create L1_Pressure data_process start")
        try:
            l1_temperature_all_data_process_id = self.dataprocessclient.create_data_process(ctd_L1_temperature_dprocdef_id, [ctd_l0_temperature_output_dp_id], {'temperature':ctd_l1_temperature_output_dp_id})
            self.dataprocessclient.activate_data_process(l1_temperature_all_data_process_id)
        except BadRequest as ex:
            self.fail("failed to create new data process: %s" %ex)

        #-------------------------------
        # L2 Salinity: Create the data process
        #-------------------------------
        log.debug("TestDataProductProvenance: create L2_salinity data_process start")
        try:
            l2_salinity_all_data_process_id = self.dataprocessclient.create_data_process(ctd_L2_salinity_dprocdef_id, [ctd_l1_conductivity_output_dp_id, ctd_l1_pressure_output_dp_id, ctd_l1_temperature_output_dp_id], {'salinity':ctd_l2_salinity_output_dp_id})
            self.dataprocessclient.activate_data_process(l2_salinity_all_data_process_id)
        except BadRequest as ex:
            self.fail("failed to create new data process: %s" %ex)


        #-------------------------------
        # L2 Density: Create the data process
        #-------------------------------
        log.debug("TestDataProductProvenance: create L2_Density data_process start")
        try:
            l2_density_all_data_process_id = self.dataprocessclient.create_data_process(ctd_L2_density_dprocdef_id, [ctd_l1_conductivity_output_dp_id, ctd_l1_pressure_output_dp_id, ctd_l1_temperature_output_dp_id], {'density':ctd_l2_density_output_dp_id})
            self.dataprocessclient.activate_data_process(l2_density_all_data_process_id)
        except BadRequest as ex:
            self.fail("failed to create new data process: %s" %ex)



        #-------------------------------
        # Launch InstrumentAgentInstance, connect to the resource agent client
        #-------------------------------
        self.imsclient.start_instrument_agent_instance(instrument_agent_instance_id=instAgentInstance_id)

        inst_agent_instance_obj= self.imsclient.read_instrument_agent_instance(instAgentInstance_id)
        print 'TestDataProductProvenance: Instrument agent instance obj: = ', inst_agent_instance_obj

        # Start a resource agent client to talk with the instrument agent.
#        self._ia_client = ResourceAgentClient('iaclient', name=inst_agent_instance_obj.agent_process_id,  process=FakeProcess())
#        print 'activate_instrument: got ia client %s', self._ia_client
#        log.debug(" test_createTransformsThenActivateInstrument:: got ia client %s", str(self._ia_client))


        #-------------------------------
        # Deactivate InstrumentAgentInstance
        #-------------------------------
        self.imsclient.stop_instrument_agent_instance(instrument_agent_instance_id=instAgentInstance_id)

        self.dataprocessclient.deactivate_data_process(l2_density_all_data_process_id)
        self.dataprocessclient.deactivate_data_process(l2_salinity_all_data_process_id)
        self.dataprocessclient.deactivate_data_process(l1_temperature_all_data_process_id)
        self.dataprocessclient.deactivate_data_process(l1_pressure_data_process_id)
        self.dataprocessclient.deactivate_data_process(l1_conductivity_data_process_id)
        self.dataprocessclient.deactivate_data_process(ctd_l0_all_data_process_id)

        #-------------------------------
        # Retrieve the provenance info for the ctd density data product
        #-------------------------------
        provenance_dict = self.dpmsclient.get_data_product_provenance(ctd_l2_density_output_dp_id)
        log.debug("TestDataProductProvenance: provenance_dict  %s", str(provenance_dict))

        #validate that products are represented
        self.assertTrue (provenance_dict[str(ctd_l1_conductivity_output_dp_id)])
        self.assertTrue (provenance_dict[str(ctd_l0_conductivity_output_dp_id)])
        self.assertTrue (provenance_dict[str(ctd_l2_density_output_dp_id)])
        self.assertTrue (provenance_dict[str(ctd_l1_temperature_output_dp_id)])
        self.assertTrue (provenance_dict[str(ctd_l0_temperature_output_dp_id)])

        density_dict = (provenance_dict[str(ctd_l2_density_output_dp_id)])
        self.assertEquals(density_dict['producer'], [l2_density_all_data_process_id])


        #-------------------------------
        # Retrieve the extended resource for this data product
        #-------------------------------
        extended_product = self.dpmsclient.get_data_product_extension(ctd_l2_density_output_dp_id)
        self.assertEqual(1, len(extended_product.data_processes) )
        self.assertEqual(3, len(extended_product.process_input_data_products) )
#        log.debug("TestDataProductProvenance: DataProduct provenance_product_list  %s", str(extended_product.provenance_product_list))
#        log.debug("TestDataProductProvenance: DataProduct data_processes  %s", str(extended_product.data_processes))
#        log.debug("TestDataProductProvenance: DataProduct process_input_data_products  %s", str(extended_product.process_input_data_products))
#        log.debug("TestDataProductProvenance: provenance  %s", str(extended_product.computed.provenance.value))

        #-------------------------------
        # Retrieve the extended resource for this data process
        #-------------------------------
        extended_process_def = self.dataprocessclient.get_data_process_definition_extension(ctd_L0_all_dprocdef_id)

#        log.debug("TestDataProductProvenance: DataProcess extended_process_def  %s", str(extended_process_def))
#        log.debug("TestDataProductProvenance: DataProcess data_processes  %s", str(extended_process_def.data_processes))
#        log.debug("TestDataProductProvenance: DataProcess data_products  %s", str(extended_process_def.data_products))
        self.assertEqual(1, len(extended_process_def.data_processes) )
        self.assertEqual(3, len(extended_process_def.output_stream_definitions) )
        self.assertEqual(3, len(extended_process_def.data_products) ) #one list because of one data process

        #-------------------------------
        # Request the xml report
        #-------------------------------
        results = self.dpmsclient.get_data_product_provenance_report(ctd_l2_density_output_dp_id)


        #-------------------------------
        # Cleanup
        #-------------------------------

        self.dpmsclient.delete_data_product(ctd_parsed_data_product)
        self.dpmsclient.delete_data_product(log_data_product_id)
        self.dpmsclient.delete_data_product(ctd_l0_conductivity_output_dp_id)
        self.dpmsclient.delete_data_product(ctd_l0_pressure_output_dp_id)
        self.dpmsclient.delete_data_product(ctd_l0_temperature_output_dp_id)
        self.dpmsclient.delete_data_product(ctd_l1_conductivity_output_dp_id)
        self.dpmsclient.delete_data_product(ctd_l1_pressure_output_dp_id)
        self.dpmsclient.delete_data_product(ctd_l1_temperature_output_dp_id)
        self.dpmsclient.delete_data_product(ctd_l2_salinity_output_dp_id)
        self.dpmsclient.delete_data_product(ctd_l2_density_output_dp_id)
Example #17
0
class TestDeployment(IonIntegrationTestCase):
    def setUp(self):
        # Start container
        self._start_container()
        self.container.start_rel_from_url('res/deploy/r2deploy.yml')

        self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
        self.omsclient = ObservatoryManagementServiceClient(
            node=self.container.node)
        self.imsclient = InstrumentManagementServiceClient(
            node=self.container.node)
        self.dmpsclient = DataProductManagementServiceClient(
            node=self.container.node)
        self.damsclient = DataAcquisitionManagementServiceClient(
            node=self.container.node)
        self.psmsclient = PubsubManagementServiceClient(
            node=self.container.node)
        self.dataset_management = DatasetManagementServiceClient()

        self.c = DotDict()
        self.c.resource_registry = self.rrclient
        self.RR2 = EnhancedResourceRegistryClient(self.rrclient)

        # create missing data process definition
        self.dsmsclient = DataProcessManagementServiceClient(
            node=self.container.node)
        dpd_obj = IonObject(
            RT.DataProcessDefinition,
            name=LOGICAL_TRANSFORM_DEFINITION_NAME,
            description="normally in preload",
            module='ion.processes.data.transforms.logical_transform',
            class_name='logical_transform')
        self.dsmsclient.create_data_process_definition(dpd_obj)

        # deactivate all data processes when tests are complete
        def killAllDataProcesses():
            for proc_id in self.rrclient.find_resources(
                    RT.DataProcess, None, None, True)[0]:
                self.dsmsclient.deactivate_data_process(proc_id)
                self.dsmsclient.delete_data_process(proc_id)

        self.addCleanup(killAllDataProcesses)

    #@unittest.skip("targeting")
    def test_create_deployment(self):

        #create a deployment with metadata and an initial site and device
        platform_site__obj = IonObject(RT.PlatformSite,
                                       name='PlatformSite1',
                                       description='test platform site')
        site_id = self.omsclient.create_platform_site(platform_site__obj)

        platform_device__obj = IonObject(RT.PlatformDevice,
                                         name='PlatformDevice1',
                                         description='test platform device')
        device_id = self.imsclient.create_platform_device(platform_device__obj)

        start = IonTime(datetime.datetime(2013, 1, 1))
        end = IonTime(datetime.datetime(2014, 1, 1))
        temporal_bounds = IonObject(OT.TemporalBounds,
                                    name='planned',
                                    start_datetime=start.to_string(),
                                    end_datetime=end.to_string())
        deployment_obj = IonObject(RT.Deployment,
                                   name='TestDeployment',
                                   description='some new deployment',
                                   constraint_list=[temporal_bounds])
        deployment_id = self.omsclient.create_deployment(deployment_obj)
        self.omsclient.deploy_platform_site(site_id, deployment_id)
        self.imsclient.deploy_platform_device(device_id, deployment_id)

        log.debug("test_create_deployment: created deployment id: %s ",
                  str(deployment_id))

        #retrieve the deployment objects and check that the assoc site and device are attached
        read_deployment_obj = self.omsclient.read_deployment(deployment_id)
        log.debug("test_create_deployment: created deployment obj: %s ",
                  str(read_deployment_obj))

        site_ids, _ = self.rrclient.find_subjects(RT.PlatformSite,
                                                  PRED.hasDeployment,
                                                  deployment_id, True)
        self.assertEqual(len(site_ids), 1)

        device_ids, _ = self.rrclient.find_subjects(RT.PlatformDevice,
                                                    PRED.hasDeployment,
                                                    deployment_id, True)
        self.assertEqual(len(device_ids), 1)

        #delete the deployment
        self.RR2.pluck(deployment_id)
        self.omsclient.force_delete_deployment(deployment_id)
        # now try to get the deleted dp object
        try:
            self.omsclient.read_deployment(deployment_id)
        except NotFound:
            pass
        else:
            self.fail("deleted deployment was found during read")

    #@unittest.skip("targeting")
    def base_activate_deployment(self):

        #-------------------------------------------------------------------------------------
        # Create platform site, platform device, platform model
        #-------------------------------------------------------------------------------------

        platform_site__obj = IonObject(RT.PlatformSite,
                                       name='PlatformSite1',
                                       description='test platform site')
        platform_site_id = self.omsclient.create_platform_site(
            platform_site__obj)

        platform_device_obj = IonObject(RT.PlatformDevice,
                                        name='PlatformDevice1',
                                        description='test platform device')
        platform_device_id = self.imsclient.create_platform_device(
            platform_device_obj)

        platform_model__obj = IonObject(RT.PlatformModel,
                                        name='PlatformModel1',
                                        description='test platform model')
        platform_model_id = self.imsclient.create_platform_model(
            platform_model__obj)

        #-------------------------------------------------------------------------------------
        # Create instrument site
        #-------------------------------------------------------------------------------------

        instrument_site_obj = IonObject(RT.InstrumentSite,
                                        name='InstrumentSite1',
                                        description='test instrument site')
        instrument_site_id = self.omsclient.create_instrument_site(
            instrument_site_obj, platform_site_id)

        pdict_id = self.dataset_management.read_parameter_dictionary_by_name(
            'ctd_parsed_param_dict', id_only=True)
        ctd_stream_def_id = self.psmsclient.create_stream_definition(
            name='SBE37_CDM', parameter_dictionary_id=pdict_id)

        # Construct temporal and spatial Coordinate Reference System objects
        tdom, sdom = time_series_domain()

        sdom = sdom.dump()
        tdom = tdom.dump()

        dp_obj = IonObject(RT.DataProduct,
                           name='Log Data Product',
                           description='some new dp',
                           temporal_domain=tdom,
                           spatial_domain=sdom)

        out_log_data_product_id = self.dmpsclient.create_data_product(
            dp_obj, ctd_stream_def_id)

        #----------------------------------------------------------------------------------------------------
        # Start the transform (a logical transform) that acts as an instrument site
        #----------------------------------------------------------------------------------------------------

        self.omsclient.create_site_data_product(
            site_id=instrument_site_id,
            data_product_id=out_log_data_product_id)

        #----------------------------------------------------------------------------------------------------
        # Create an instrument device
        #----------------------------------------------------------------------------------------------------

        instrument_device_obj = IonObject(RT.InstrumentDevice,
                                          name='InstrumentDevice1',
                                          description='test instrument device')
        instrument_device_id = self.imsclient.create_instrument_device(
            instrument_device_obj)
        self.rrclient.create_association(platform_device_id, PRED.hasDevice,
                                         instrument_device_id)

        dp_obj = IonObject(RT.DataProduct,
                           name='Instrument Data Product',
                           description='some new dp',
                           temporal_domain=tdom,
                           spatial_domain=sdom)

        inst_data_product_id = self.dmpsclient.create_data_product(
            dp_obj, ctd_stream_def_id)

        #assign data products appropriately
        self.damsclient.assign_data_product(
            input_resource_id=instrument_device_id,
            data_product_id=inst_data_product_id)
        #----------------------------------------------------------------------------------------------------
        # Create an instrument model
        #----------------------------------------------------------------------------------------------------

        instrument_model_obj = IonObject(RT.InstrumentModel,
                                         name='InstrumentModel1',
                                         description='test instrument model')
        instrument_model_id = self.imsclient.create_instrument_model(
            instrument_model_obj)

        #----------------------------------------------------------------------------------------------------
        # Create a deployment object
        #----------------------------------------------------------------------------------------------------

        start = IonTime(datetime.datetime(2013, 1, 1))
        end = IonTime(datetime.datetime(2014, 1, 1))
        temporal_bounds = IonObject(OT.TemporalBounds,
                                    name='planned',
                                    start_datetime=start.to_string(),
                                    end_datetime=end.to_string())
        deployment_obj = IonObject(RT.Deployment,
                                   name='TestDeployment',
                                   description='some new deployment',
                                   constraint_list=[temporal_bounds])
        deployment_id = self.omsclient.create_deployment(deployment_obj)

        log.debug("test_create_deployment: created deployment id: %s ",
                  str(deployment_id))

        ret = DotDict(instrument_site_id=instrument_site_id,
                      instrument_device_id=instrument_device_id,
                      instrument_model_id=instrument_model_id,
                      platform_site_id=platform_site_id,
                      platform_device_id=platform_device_id,
                      platform_model_id=platform_model_id,
                      deployment_id=deployment_id)

        return ret

    #@unittest.skip("targeting")
    def test_activate_deployment_normal(self):

        res = self.base_activate_deployment()

        log.debug("assigning platform and instrument models")
        self.imsclient.assign_platform_model_to_platform_device(
            res.platform_model_id, res.platform_device_id)
        self.imsclient.assign_instrument_model_to_instrument_device(
            res.instrument_model_id, res.instrument_device_id)
        self.omsclient.assign_platform_model_to_platform_site(
            res.platform_model_id, res.platform_site_id)
        self.omsclient.assign_instrument_model_to_instrument_site(
            res.instrument_model_id, res.instrument_site_id)

        log.debug("adding instrument site and device to deployment")
        self.omsclient.deploy_instrument_site(res.instrument_site_id,
                                              res.deployment_id)
        self.imsclient.deploy_instrument_device(res.instrument_device_id,
                                                res.deployment_id)

        log.debug("adding platform site and device to deployment")
        self.omsclient.deploy_platform_site(res.platform_site_id,
                                            res.deployment_id)
        self.imsclient.deploy_platform_device(res.platform_device_id,
                                              res.deployment_id)

        log.debug("activating deployment, expecting success")
        self.omsclient.activate_deployment(res.deployment_id)

    #@unittest.skip("targeting")
    def test_activate_deployment_nomodels(self):

        res = self.base_activate_deployment()

        self.omsclient.deploy_instrument_site(res.instrument_site_id,
                                              res.deployment_id)
        self.imsclient.deploy_instrument_device(res.instrument_device_id,
                                                res.deployment_id)

        log.debug(
            "activating deployment without site+device models, expecting fail")
        self.assert_deploy_fail(
            res.deployment_id, "Expected at least 1 model for InstrumentSite")

        log.debug("assigning instrument site model")
        self.omsclient.assign_instrument_model_to_instrument_site(
            res.instrument_model_id, res.instrument_site_id)

        log.debug(
            "activating deployment without device models, expecting fail")
        self.assert_deploy_fail(res.deployment_id,
                                "Expected 1 model for InstrumentDevice")

    #@unittest.skip("targeting")
    def test_activate_deployment_nosite(self):

        res = self.base_activate_deployment()

        log.debug("assigning instrument models")
        self.imsclient.assign_instrument_model_to_instrument_device(
            res.instrument_model_id, res.instrument_device_id)
        self.omsclient.assign_instrument_model_to_instrument_site(
            res.instrument_model_id, res.instrument_site_id)

        log.debug("deploying instrument device only")
        self.imsclient.deploy_instrument_device(res.instrument_device_id,
                                                res.deployment_id)

        log.debug(
            "activating deployment without device models, expecting fail")
        self.assert_deploy_fail(res.deployment_id,
                                "No sites were found in the deployment")

    #@unittest.skip("targeting")
    def test_activate_deployment_nodevice(self):

        res = self.base_activate_deployment()

        log.debug("assigning platform and instrument models")
        self.imsclient.assign_instrument_model_to_instrument_device(
            res.instrument_model_id, res.instrument_device_id)
        self.omsclient.assign_instrument_model_to_instrument_site(
            res.instrument_model_id, res.instrument_site_id)

        log.debug("deploying instrument site only")
        self.omsclient.deploy_instrument_site(res.instrument_site_id,
                                              res.deployment_id)

        log.debug(
            "activating deployment without device models, expecting fail")
        self.assert_deploy_fail(
            res.deployment_id,
            "The set of devices could not be mapped to the set of sites")

    def assert_deploy_fail(self,
                           deployment_id,
                           fail_message="did not specify fail_message"):
        with self.assertRaises(BadRequest) as cm:
            self.omsclient.activate_deployment(deployment_id)
        self.assertIn(fail_message, cm.exception.message)
Example #18
0
class TestDeployment(IonIntegrationTestCase):
    def setUp(self):
        # Start container
        self._start_container()
        self.container.start_rel_from_url('res/deploy/r2deploy.yml')

        self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
        self.omsclient = ObservatoryManagementServiceClient(
            node=self.container.node)
        self.imsclient = InstrumentManagementServiceClient(
            node=self.container.node)
        self.dmpsclient = DataProductManagementServiceClient(
            node=self.container.node)
        self.damsclient = DataAcquisitionManagementServiceClient(
            node=self.container.node)
        self.psmsclient = PubsubManagementServiceClient(
            node=self.container.node)
        self.dataset_management = DatasetManagementServiceClient()

        self.c = DotDict()
        self.c.resource_registry = self.rrclient
        self.RR2 = EnhancedResourceRegistryClient(self.rrclient)

        self.dsmsclient = DataProcessManagementServiceClient(
            node=self.container.node)

        # deactivate all data processes when tests are complete
        def killAllDataProcesses():
            for proc_id in self.rrclient.find_resources(
                    RT.DataProcess, None, None, True)[0]:
                self.dsmsclient.deactivate_data_process(proc_id)
                self.dsmsclient.delete_data_process(proc_id)

        self.addCleanup(killAllDataProcesses)

    #@unittest.skip("targeting")
    def test_create_deployment(self):

        #create a deployment with metadata and an initial site and device
        platform_site__obj = IonObject(RT.PlatformSite,
                                       name='PlatformSite1',
                                       description='test platform site')
        site_id = self.omsclient.create_platform_site(platform_site__obj)

        platform_device__obj = IonObject(RT.PlatformDevice,
                                         name='PlatformDevice1',
                                         description='test platform device')
        device_id = self.imsclient.create_platform_device(platform_device__obj)

        start = str(int(time.mktime(datetime.datetime(2013, 1,
                                                      1).timetuple())))
        end = str(int(time.mktime(datetime.datetime(2014, 1, 1).timetuple())))
        temporal_bounds = IonObject(OT.TemporalBounds,
                                    name='planned',
                                    start_datetime=start,
                                    end_datetime=end)
        deployment_obj = IonObject(RT.Deployment,
                                   name='TestDeployment',
                                   description='some new deployment',
                                   constraint_list=[temporal_bounds])
        deployment_id = self.omsclient.create_deployment(deployment_obj)
        self.omsclient.assign_site_to_deployment(site_id, deployment_id)
        self.omsclient.assign_device_to_deployment(device_id, deployment_id)

        log.debug("test_create_deployment: created deployment id: %s ",
                  str(deployment_id))

        #retrieve the deployment objects and check that the assoc site and device are attached
        read_deployment_obj = self.omsclient.read_deployment(deployment_id)
        log.debug("test_create_deployment: created deployment obj: %s ",
                  str(read_deployment_obj))

        site_ids, _ = self.rrclient.find_subjects(RT.PlatformSite,
                                                  PRED.hasDeployment,
                                                  deployment_id, True)
        self.assertEqual(len(site_ids), 1)

        device_ids, _ = self.rrclient.find_subjects(RT.PlatformDevice,
                                                    PRED.hasDeployment,
                                                    deployment_id, True)
        self.assertEqual(len(device_ids), 1)

        #delete the deployment
        self.omsclient.force_delete_deployment(deployment_id)
        # now try to get the deleted dp object
        try:
            self.omsclient.read_deployment(deployment_id)
        except NotFound:
            pass
        else:
            self.fail("deleted deployment was found during read")

    #@unittest.skip("targeting")
    def test_prepare_deployment_support(self):

        deploy_sup = self.omsclient.prepare_deployment_support()
        self.assertTrue(deploy_sup)
        self.assertEquals(
            deploy_sup.associations['DeploymentHasInstrumentDevice'].type_,
            "AssocDeploymentInstDevice")
        self.assertEquals(
            deploy_sup.associations['DeploymentHasInstrumentDevice'].resources,
            [])
        self.assertEquals(
            deploy_sup.associations['DeploymentHasInstrumentDevice'].
            associated_resources, [])
        self.assertEquals(
            deploy_sup.associations['DeploymentHasPlatformDevice'].type_,
            "AssocDeploymentPlatDevice")
        self.assertEquals(
            deploy_sup.associations['DeploymentHasPlatformDevice'].resources,
            [])
        self.assertEquals(
            deploy_sup.associations['DeploymentHasPlatformDevice'].
            associated_resources, [])
        self.assertEquals(
            deploy_sup.associations['DeploymentHasInstrumentSite'].type_,
            "AssocDeploymentInstSite")
        self.assertEquals(
            deploy_sup.associations['DeploymentHasInstrumentSite'].resources,
            [])
        self.assertEquals(
            deploy_sup.associations['DeploymentHasInstrumentSite'].
            associated_resources, [])
        self.assertEquals(
            deploy_sup.associations['DeploymentHasPlatformSite'].type_,
            "AssocDeploymentPlatSite")
        self.assertEquals(
            deploy_sup.associations['DeploymentHasPlatformSite'].resources, [])
        self.assertEquals(
            deploy_sup.associations['DeploymentHasPlatformSite'].
            associated_resources, [])

        #create a deployment with metadata and an initial site and device
        platform_site__obj = IonObject(RT.PlatformSite,
                                       name='PlatformSite1',
                                       description='test platform site')
        site_id = self.omsclient.create_platform_site(platform_site__obj)

        platform_device__obj = IonObject(RT.PlatformDevice,
                                         name='PlatformDevice1',
                                         description='test platform device')
        device_id = self.imsclient.create_platform_device(platform_device__obj)

        start = str(int(time.mktime(datetime.datetime(2013, 1,
                                                      1).timetuple())))
        end = str(int(time.mktime(datetime.datetime(2014, 1, 1).timetuple())))
        temporal_bounds = IonObject(OT.TemporalBounds,
                                    name='planned',
                                    start_datetime=start,
                                    end_datetime=end)
        deployment_obj = IonObject(RT.Deployment,
                                   name='TestDeployment',
                                   description='some new deployment',
                                   constraint_list=[temporal_bounds])
        deployment_id = self.omsclient.create_deployment(deployment_obj)

        deploy_sup = self.omsclient.prepare_deployment_support(deployment_id)

        self.assertEquals(
            deploy_sup.associations['DeploymentHasInstrumentDevice'].resources,
            [])
        self.assertEquals(
            deploy_sup.associations['DeploymentHasInstrumentDevice'].
            associated_resources, [])
        self.assertEquals(
            len(deploy_sup.associations['DeploymentHasPlatformDevice'].
                resources), 1)
        self.assertEquals(
            deploy_sup.associations['DeploymentHasPlatformDevice'].
            associated_resources, [])
        self.assertEquals(
            deploy_sup.associations['DeploymentHasInstrumentSite'].resources,
            [])
        self.assertEquals(
            deploy_sup.associations['DeploymentHasInstrumentSite'].
            associated_resources, [])
        self.assertEquals(
            len(deploy_sup.associations['DeploymentHasPlatformSite'].resources
                ), 1)
        self.assertEquals(
            deploy_sup.associations['DeploymentHasPlatformSite'].
            associated_resources, [])

        self.omsclient.assign_site_to_deployment(site_id, deployment_id)
        self.omsclient.assign_device_to_deployment(device_id, deployment_id)

        deploy_sup = self.omsclient.prepare_deployment_support(deployment_id)

        self.assertEquals(
            deploy_sup.associations['DeploymentHasInstrumentDevice'].resources,
            [])
        self.assertEquals(
            deploy_sup.associations['DeploymentHasInstrumentDevice'].
            associated_resources, [])
        self.assertEquals(
            len(deploy_sup.associations['DeploymentHasPlatformDevice'].
                resources), 1)
        self.assertEquals(
            len(deploy_sup.associations['DeploymentHasPlatformDevice'].
                associated_resources), 1)
        self.assertEquals(
            deploy_sup.associations['DeploymentHasInstrumentSite'].resources,
            [])
        self.assertEquals(
            deploy_sup.associations['DeploymentHasInstrumentSite'].
            associated_resources, [])
        self.assertEquals(
            len(deploy_sup.associations['DeploymentHasPlatformSite'].resources
                ), 1)
        self.assertEquals(
            len(deploy_sup.associations['DeploymentHasPlatformSite'].
                associated_resources), 1)

        #delete the deployment
        self.omsclient.force_delete_deployment(deployment_id)
        # now try to get the deleted dp object
        try:
            self.omsclient.read_deployment(deployment_id)
        except NotFound:
            pass
        else:
            self.fail("deleted deployment was found during read")

    #@unittest.skip("targeting")
    def base_activate_deployment(self, make_assigns=False):
        # Create platform site, platform device, platform model

        bounds = GeospatialBounds(geospatial_latitude_limit_north=float(5),
                                  geospatial_latitude_limit_south=float(5),
                                  geospatial_longitude_limit_west=float(15),
                                  geospatial_longitude_limit_east=float(15),
                                  geospatial_vertical_min=float(0),
                                  geospatial_vertical_max=float(1000))

        platform_site__obj = IonObject(RT.PlatformSite,
                                       name='PlatformSite1',
                                       description='test platform site',
                                       constraint_list=[bounds])
        platform_site_id = self.omsclient.create_platform_site(
            platform_site__obj)

        platform_device_obj = IonObject(RT.PlatformDevice,
                                        name='PlatformDevice1',
                                        description='test platform device')
        platform_device_id = self.imsclient.create_platform_device(
            platform_device_obj)

        platform_model__obj = IonObject(RT.PlatformModel,
                                        name='PlatformModel1',
                                        description='test platform model')
        platform_model_id = self.imsclient.create_platform_model(
            platform_model__obj)

        # Create instrument site
        #-------------------------------------------------------------------------------------

        bounds = GeospatialBounds(geospatial_latitude_limit_north=float(45),
                                  geospatial_latitude_limit_south=float(40),
                                  geospatial_longitude_limit_west=float(-75),
                                  geospatial_longitude_limit_east=float(-70),
                                  geospatial_vertical_min=float(0),
                                  geospatial_vertical_max=float(500))

        instrument_site_obj = IonObject(
            RT.InstrumentSite,
            name='InstrumentSite1',
            description='test instrument site',
            reference_designator='GA01SUMO-FI003-01-CTDMO0999',
            constraint_list=[bounds])
        instrument_site_id = self.omsclient.create_instrument_site(
            instrument_site_obj, platform_site_id)

        pdict_id = self.dataset_management.read_parameter_dictionary_by_name(
            'ctd_parsed_param_dict', id_only=True)
        ctd_stream_def_id = self.psmsclient.create_stream_definition(
            name='SBE37_CDM', parameter_dictionary_id=pdict_id)

        # Create an instrument device
        instrument_device_obj = IonObject(RT.InstrumentDevice,
                                          name='InstrumentDevice1',
                                          description='test instrument device')
        instrument_device_id = self.imsclient.create_instrument_device(
            instrument_device_obj)
        self.rrclient.create_association(platform_device_id, PRED.hasDevice,
                                         instrument_device_id)

        pp_obj = IonObject(OT.PlatformPort,
                           reference_designator='GA01SUMO-FI003-01-CTDMO0999',
                           port_type=PortTypeEnum.PAYLOAD,
                           ip_address='1')
        port_assignments = {instrument_device_id: pp_obj}

        #----------------------------------------------------------------------------------------------------
        # Create an instrument model
        instrument_model_obj = IonObject(RT.InstrumentModel,
                                         name='InstrumentModel1',
                                         description='test instrument model')
        instrument_model_id = self.imsclient.create_instrument_model(
            instrument_model_obj)

        # Create a deployment object
        #----------------------------------------------------------------------------------------------------

        start = str(int(time.mktime(datetime.datetime(2013, 1,
                                                      1).timetuple())))
        end = str(int(time.mktime(datetime.datetime(2020, 1, 1).timetuple())))
        temporal_bounds = IonObject(OT.TemporalBounds,
                                    name='planned',
                                    start_datetime=start,
                                    end_datetime=end)
        deployment_obj = IonObject(RT.Deployment,
                                   name='TestDeployment',
                                   description='some new deployment',
                                   context=IonObject(
                                       OT.CabledNodeDeploymentContext),
                                   port_assignments=port_assignments,
                                   constraint_list=[temporal_bounds])
        deployment_id = self.omsclient.create_deployment(deployment_obj)

        log.debug("test_create_deployment: created deployment id: %s ",
                  str(deployment_id))

        if make_assigns:
            self.imsclient.assign_platform_model_to_platform_device(
                platform_model_id, platform_device_id)
            self.imsclient.assign_instrument_model_to_instrument_device(
                instrument_model_id, instrument_device_id)
            self.omsclient.assign_platform_model_to_platform_site(
                platform_model_id, platform_site_id)
            self.omsclient.assign_instrument_model_to_instrument_site(
                instrument_model_id, instrument_site_id)

            self.omsclient.assign_site_to_deployment(platform_site_id,
                                                     deployment_id)
            self.omsclient.assign_device_to_deployment(platform_device_id,
                                                       deployment_id)

        ret = DotDict(instrument_site_id=instrument_site_id,
                      instrument_device_id=instrument_device_id,
                      instrument_model_id=instrument_model_id,
                      platform_site_id=platform_site_id,
                      platform_device_id=platform_device_id,
                      platform_model_id=platform_model_id,
                      deployment_id=deployment_id)

        return ret

    def _create_subsequent_deployment(self, prior_dep_info):
        platform_device_obj = IonObject(RT.PlatformDevice,
                                        name='PlatformDevice2',
                                        description='test platform device')
        platform_device_id = self.imsclient.create_platform_device(
            platform_device_obj)

        instrument_device_obj = IonObject(RT.InstrumentDevice,
                                          name='InstrumentDevice2',
                                          description='test instrument device')
        instrument_device_id = self.imsclient.create_instrument_device(
            instrument_device_obj)
        self.rrclient.create_association(platform_device_id, PRED.hasDevice,
                                         instrument_device_id)

        self.imsclient.assign_platform_model_to_platform_device(
            prior_dep_info.platform_model_id, platform_device_id)
        self.imsclient.assign_instrument_model_to_instrument_device(
            prior_dep_info.instrument_model_id, instrument_device_id)

        start = str(int(time.mktime(datetime.datetime(2013, 6,
                                                      1).timetuple())))
        end = str(int(time.mktime(datetime.datetime(2020, 6, 1).timetuple())))
        temporal_bounds = IonObject(OT.TemporalBounds,
                                    name='planned',
                                    start_datetime=start,
                                    end_datetime=end)
        deployment_obj = IonObject(RT.Deployment,
                                   name='TestDeployment2',
                                   description='some new deployment',
                                   context=IonObject(
                                       OT.CabledNodeDeploymentContext),
                                   constraint_list=[temporal_bounds])
        deployment_id = self.omsclient.create_deployment(deployment_obj)

        self.omsclient.assign_site_to_deployment(
            prior_dep_info.platform_site_id, deployment_id)
        self.omsclient.assign_device_to_deployment(
            prior_dep_info.platform_device_id, deployment_id)

        log.debug("test_create_deployment: created deployment id: %s ",
                  str(deployment_id))

        ret = DotDict(instrument_device_id=instrument_device_id,
                      platform_device_id=platform_device_id,
                      deployment_id=deployment_id)

        return ret

    #@unittest.skip("targeting")
    def test_activate_deployment_normal(self):

        res = self.base_activate_deployment(make_assigns=True)

        before_activate_instrument_device_obj = self.rrclient.read(
            res.instrument_device_id)
        self.assertNotEquals(before_activate_instrument_device_obj.lcstate,
                             LCS.DEPLOYED)

        log.debug("activating deployment, expecting success")
        self.omsclient.activate_deployment(res.deployment_id)

        def assertGeospatialBoundsEquals(a, b):
            self.assertEquals(a['geospatial_latitude_limit_north'],
                              b['geospatial_latitude_limit_north'])
            self.assertEquals(a['geospatial_latitude_limit_south'],
                              b['geospatial_latitude_limit_south'])
            self.assertEquals(a['geospatial_longitude_limit_west'],
                              b['geospatial_longitude_limit_west'])
            self.assertEquals(a['geospatial_longitude_limit_east'],
                              b['geospatial_longitude_limit_east'])

        def assertGeospatialBoundsNotEquals(a, b):
            self.assertNotEquals(a['geospatial_latitude_limit_north'],
                                 b['geospatial_latitude_limit_north'])
            self.assertNotEquals(a['geospatial_latitude_limit_south'],
                                 b['geospatial_latitude_limit_south'])
            self.assertNotEquals(a['geospatial_longitude_limit_west'],
                                 b['geospatial_longitude_limit_west'])
            self.assertNotEquals(a['geospatial_longitude_limit_east'],
                                 b['geospatial_longitude_limit_east'])

        after_activate_instrument_device_obj = self.rrclient.read(
            res.instrument_device_id)
        assertGeospatialBoundsNotEquals(
            before_activate_instrument_device_obj.geospatial_bounds,
            after_activate_instrument_device_obj.geospatial_bounds)

        deployment_obj = self.RR2.read(res.deployment_id)
        self.assertEquals(deployment_obj.lcstate, LCS.DEPLOYED)

        log.debug("deactivatin deployment, expecting success")
        self.omsclient.deactivate_deployment(res.deployment_id)

        after_deactivate_instrument_device_obj = self.rrclient.read(
            res.instrument_device_id)
        assertGeospatialBoundsNotEquals(
            after_activate_instrument_device_obj.geospatial_bounds,
            after_deactivate_instrument_device_obj.geospatial_bounds)

        deployment_obj = self.RR2.read(res.deployment_id)
        self.assertEquals(deployment_obj.lcstate, LCS.INTEGRATED)

    def test_activate_deployment_redeploy(self):
        dep_util = DeploymentUtil(self.container)
        res = self.base_activate_deployment(make_assigns=True)

        log.debug("activating first deployment, expecting success")
        self.omsclient.activate_deployment(res.deployment_id)

        deployment_obj1 = self.RR2.read(res.deployment_id)
        self.assertEquals(deployment_obj1.lcstate, LCS.DEPLOYED)

        next_dep_info = self._create_subsequent_deployment(res)

        deployment_obj2 = self.RR2.read(next_dep_info.deployment_id)
        self.assertNotEquals(deployment_obj2.lcstate, LCS.DEPLOYED)

        log.debug("activating subsequent deployment, expecting success")
        self.omsclient.activate_deployment(next_dep_info.deployment_id)

        deployment_obj1 = self.RR2.read(res.deployment_id)
        self.assertEquals(deployment_obj1.lcstate, LCS.INTEGRATED)

        deployment_obj2 = self.RR2.read(next_dep_info.deployment_id)
        self.assertEquals(deployment_obj2.lcstate, LCS.DEPLOYED)

        dep1_tc = dep_util.get_temporal_constraint(deployment_obj1)
        dep2_tc = dep_util.get_temporal_constraint(deployment_obj2)
        self.assertLessEqual(float(dep1_tc.end_datetime),
                             float(dep2_tc.end_datetime))

        log.debug("deactivating second deployment, expecting success")
        self.omsclient.deactivate_deployment(next_dep_info.deployment_id)

        deployment_obj2 = self.RR2.read(next_dep_info.deployment_id)
        self.assertEquals(deployment_obj2.lcstate, LCS.INTEGRATED)

    #@unittest.skip("targeting")
    def test_activate_deployment_nomodels(self):

        res = self.base_activate_deployment()

        self.omsclient.assign_site_to_deployment(res.platform_site_id,
                                                 res.deployment_id)
        self.omsclient.assign_device_to_deployment(res.platform_device_id,
                                                   res.deployment_id)

        log.debug(
            "activating deployment without site+device models, expecting fail")
        self.assert_deploy_fail(res.deployment_id, NotFound, "Expected 1")

        log.debug("assigning instrument site model")
        self.omsclient.assign_instrument_model_to_instrument_site(
            res.instrument_model_id, res.instrument_site_id)

        log.debug(
            "activating deployment without device models, expecting fail")
        self.assert_deploy_fail(res.deployment_id, NotFound, "Expected 1")

    #@unittest.skip("targeting")
    def test_activate_deployment_nosite(self):

        res = self.base_activate_deployment()

        log.debug("assigning instrument models")
        self.imsclient.assign_instrument_model_to_instrument_device(
            res.instrument_model_id, res.instrument_device_id)
        self.omsclient.assign_instrument_model_to_instrument_site(
            res.instrument_model_id, res.instrument_site_id)

        log.debug("deploying instrument device only")
        self.omsclient.assign_device_to_deployment(res.instrument_device_id,
                                                   res.deployment_id)

        log.debug(
            "activating deployment without instrument site, expecting fail")
        self.assert_deploy_fail(res.deployment_id, BadRequest)

    #@unittest.skip("targeting")
    def test_activate_deployment_nodevice(self):

        res = self.base_activate_deployment()

        log.debug("assigning platform and instrument models")
        self.imsclient.assign_instrument_model_to_instrument_device(
            res.instrument_model_id, res.instrument_device_id)
        self.omsclient.assign_instrument_model_to_instrument_site(
            res.instrument_model_id, res.instrument_site_id)

        log.debug("deploying instrument site only")
        self.omsclient.assign_site_to_deployment(res.instrument_site_id,
                                                 res.deployment_id)

        log.debug("activating deployment without device, expecting fail")
        self.assert_deploy_fail(res.deployment_id, BadRequest,
                                "No devices were found in the deployment")

    def assert_deploy_fail(self,
                           deployment_id,
                           err_type=BadRequest,
                           fail_message=""):
        with self.assertRaises(err_type) as cm:
            self.omsclient.activate_deployment(deployment_id)
            log.debug("assert_deploy_fail cm: %s", str(cm))
            if fail_message:
                self.assertIn(fail_message, cm.exception.message)

    def test_3x3_matchups_remoteplatform(self):
        self.base_3x3_matchups(IonObject(OT.RemotePlatformDeploymentContext))

    def test_3x3_matchups_cabledinstrument(self):
        self.base_3x3_matchups(IonObject(OT.CabledInstrumentDeploymentContext))

    def test_3x3_matchups_cablednode(self):
        self.base_3x3_matchups(IonObject(OT.CabledNodeDeploymentContext))

    def base_3x3_matchups(self, deployment_context):
        """
        This will be 1 root platform, 3 sub platforms (2 of one model, 1 of another) and 3 sub instruments each (2-to-1)
        """
        deployment_context_type = type(deployment_context).__name__

        instrument_model_id = [
            self.RR2.create(any_old(RT.InstrumentModel)) for _ in range(6)
        ]
        platform_model_id = [
            self.RR2.create(any_old(RT.PlatformModel)) for _ in range(3)
        ]

        instrument_device_id = [
            self.RR2.create(any_old(RT.InstrumentDevice)) for _ in range(9)
        ]
        platform_device_id = [
            self.RR2.create(any_old(RT.PlatformDevice)) for _ in range(4)
        ]

        instrument_site_id = [
            self.RR2.create(
                any_old(
                    RT.InstrumentSite, {
                        "reference_designator":
                        "GA01SUMO-FI003-0%s-CTDMO0999" % (i + 1),
                        "planned_uplink_port":
                        IonObject(
                            OT.PlatformPort,
                            reference_designator="GA01SUMO-FI003-0%s-CTDMO0999"
                            % (i + 1))
                    })) for i in range(9)
        ]

        platform_site_id = [
            self.RR2.create(
                any_old(
                    RT.PlatformSite, {
                        "reference_designator":
                        "GA01SUMO-FI003-0%s-CTDMO0888" % (i + 1),
                        "planned_uplink_port":
                        IonObject(
                            OT.PlatformPort,
                            reference_designator="GA01SUMO-FI003-0%s-CTDMO0888"
                            % (i + 1))
                    })) for i in range(4)
        ]

        def instrument_model_at(platform_idx, instrument_idx):
            m = platform_idx * 2
            if instrument_idx > 0:
                m += 1
            return m

        def platform_model_at(platform_idx):
            if platform_idx > 0:
                return 1
            return 0

        def instrument_at(platform_idx, instrument_idx):
            return platform_idx * 3 + instrument_idx

        # set up the structure
        for p in range(3):
            m = platform_model_at(p)
            self.RR2.assign_platform_model_to_platform_site_with_has_model(
                platform_model_id[m], platform_site_id[p])
            self.RR2.assign_platform_model_to_platform_device_with_has_model(
                platform_model_id[m], platform_device_id[p])
            self.RR2.assign_platform_device_to_platform_device_with_has_device(
                platform_device_id[p], platform_device_id[3])
            self.RR2.assign_platform_site_to_platform_site_with_has_site(
                platform_site_id[p], platform_site_id[3])

            for i in range(3):
                m = instrument_model_at(p, i)
                idx = instrument_at(p, i)
                self.RR2.assign_instrument_model_to_instrument_site_with_has_model(
                    instrument_model_id[m], instrument_site_id[idx])
                self.RR2.assign_instrument_model_to_instrument_device_with_has_model(
                    instrument_model_id[m], instrument_device_id[idx])
                self.RR2.assign_instrument_device_to_platform_device_with_has_device(
                    instrument_device_id[idx], platform_device_id[p])
                self.RR2.assign_instrument_site_to_platform_site_with_has_site(
                    instrument_site_id[idx], platform_site_id[p])

        # top level models
        self.RR2.assign_platform_model_to_platform_device_with_has_model(
            platform_model_id[2], platform_device_id[3])
        self.RR2.assign_platform_model_to_platform_site_with_has_model(
            platform_model_id[2], platform_site_id[3])

        # verify structure
        for p in range(3):
            parent_id = self.RR2.find_platform_device_id_by_platform_device_using_has_device(
                platform_device_id[p])
            self.assertEqual(platform_device_id[3], parent_id)

            parent_id = self.RR2.find_platform_site_id_by_platform_site_using_has_site(
                platform_site_id[p])
            self.assertEqual(platform_site_id[3], parent_id)

        for i in range(len(platform_site_id)):
            self.assertEqual(
                self.RR2.
                find_platform_model_of_platform_device_using_has_model(
                    platform_device_id[i]),
                self.RR2.find_platform_model_of_platform_site_using_has_model(
                    platform_site_id[i]))

        for i in range(len(instrument_site_id)):
            self.assertEqual(
                self.RR2.
                find_instrument_model_of_instrument_device_using_has_model(
                    instrument_device_id[i]),
                self.RR2.
                find_instrument_model_of_instrument_site_using_has_model(
                    instrument_site_id[i]))

        # OOIReferenceDesignator format: GA01SUMO-FI003-03-CTDMO0999  (site-platform_id-port-device_id)

        port_assignments = {}
        for p in range(3):
            ref_desig = "GA01SUMO-FI003-0%s-CTDMO0888" % (p + 1)
            pp_obj = IonObject(OT.PlatformPort,
                               reference_designator=ref_desig,
                               port_type=PortTypeEnum.PAYLOAD,
                               ip_address=str(p))
            port_assignments[platform_device_id[p]] = pp_obj
            for i in range(3):
                ref_desig = "GA01SUMO-FI003-0%s-CTDMO0999" % ((p * 3) + i + 1)
                pp_obj = IonObject(OT.PlatformPort,
                                   reference_designator=ref_desig,
                                   port_type=PortTypeEnum.PAYLOAD,
                                   ip_address=str(p))
                idx = instrument_at(p, i)
                port_assignments[instrument_device_id[idx]] = pp_obj

        deployment_id = self.RR2.create(
            any_old(
                RT.Deployment, {
                    "context": deployment_context,
                    "port_assignments": port_assignments
                }))

        log.debug("assigning device/site to %s deployment",
                  deployment_context_type)
        if OT.RemotePlatformDeploymentContext == deployment_context_type:
            self.RR2.assign_deployment_to_platform_device_with_has_deployment(
                deployment_id, platform_device_id[3])
            self.RR2.assign_deployment_to_platform_site_with_has_deployment(
                deployment_id, platform_site_id[3])

        elif OT.CabledInstrumentDeploymentContext == deployment_context_type:
            self.RR2.assign_deployment_to_instrument_device_with_has_deployment(
                deployment_id, instrument_device_id[1])
            self.RR2.assign_deployment_to_instrument_site_with_has_deployment(
                deployment_id, instrument_site_id[1])

        elif OT.CabledNodeDeploymentContext == deployment_context_type:
            self.RR2.assign_deployment_to_platform_device_with_has_deployment(
                deployment_id, platform_device_id[1])
            self.RR2.assign_deployment_to_platform_site_with_has_deployment(
                deployment_id, platform_site_id[1])

        log.debug("activation of %s deployment", deployment_context_type)
        self.omsclient.activate_deployment(deployment_id)

        log.debug("validation of %s deployment", deployment_context_type)
        if OT.RemotePlatformDeploymentContext == deployment_context_type:
            # verify proper associations
            for i, d in enumerate(platform_device_id):
                self.assertEqual(
                    d,
                    self.RR2.
                    find_platform_device_id_of_platform_site_using_has_device(
                        platform_site_id[i]))

            for i, d in enumerate(instrument_device_id):
                self.assertEqual(
                    d,
                    self.RR2.
                    find_instrument_device_id_of_instrument_site_using_has_device(
                        instrument_site_id[i]))

        elif OT.CabledInstrumentDeploymentContext == deployment_context_type:
            self.assertEqual(
                instrument_device_id[1],
                self.RR2.
                find_instrument_device_id_of_instrument_site_using_has_device(
                    instrument_site_id[1]))

        elif OT.CabledNodeDeploymentContext == deployment_context_type:
            expected_platforms = [1]

            # verify proper associations
            for i, d in enumerate(platform_device_id):
                self.assertEqual(
                    i in expected_platforms, d in self.RR2.
                    find_platform_device_ids_of_platform_site_using_has_device(
                        platform_site_id[i]))
class TestDataProductProvenance(IonIntegrationTestCase):

    def setUp(self):
        # Start container
        #print 'instantiating container'
        self._start_container()

        self.container.start_rel_from_url('res/deploy/r2deploy.yml')

        # Now create client to DataProductManagementService
        self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
        self.damsclient = DataAcquisitionManagementServiceClient(node=self.container.node)
        self.pubsubclient =  PubsubManagementServiceClient(node=self.container.node)
        self.ingestclient = IngestionManagementServiceClient(node=self.container.node)
        self.dpmsclient = DataProductManagementServiceClient(node=self.container.node)
        self.dataprocessclient = DataProcessManagementServiceClient(node=self.container.node)
        self.imsclient = InstrumentManagementServiceClient(node=self.container.node)
        self.omsclient = ObservatoryManagementServiceClient(node=self.container.node)
        self.process_dispatcher   = ProcessDispatcherServiceClient()

        self.dataset_management = DatasetManagementServiceClient()


        # deactivate all data processes when tests are complete
        def killAllDataProcesses():
            for proc_id in self.rrclient.find_resources(RT.DataProcess, None, None, True)[0]:
                self.dataprocessclient.deactivate_data_process(proc_id)
                self.dataprocessclient.delete_data_process(proc_id)
        self.addCleanup(killAllDataProcesses)

    def test_get_data_product_provenance_report(self):
        #Create a test device
        device_obj = Device(name='Device1',
                                        description='test instrument site')
        device_id, _ = self.rrclient.create(device_obj)
        self.addCleanup(self.rrclient.delete, device_id)

        #Create a test DataProduct
        data_product1_obj = DataProduct(name='DataProduct1',
                                        description='test data product 1')
        data_product1_id, _ = self.rrclient.create(data_product1_obj)
        self.addCleanup(self.rrclient.delete, data_product1_id)

        #Create a test DataProcess
        data_process_obj = DataProcess(name='DataProcess',
                                       description='test data process')
        data_process_id, _ = self.rrclient.create(data_process_obj)
        self.addCleanup(self.rrclient.delete, data_process_id)

        #Create a second test DataProduct
        data_product2_obj = DataProduct(name='DataProduct2',
                                        description='test data product 2')
        data_product2_id, _ = self.rrclient.create(data_product2_obj)
        self.addCleanup(self.rrclient.delete, data_product2_id)

        #Create a test DataProducer
        data_producer_obj = DataProducer(name='DataProducer',
                                         description='test data producer')
        data_producer_id, rev = self.rrclient.create(data_producer_obj)

        #Link the DataProcess to the second DataProduct manually
        assoc_id, _ = self.rrclient.create_association(subject=data_process_id, predicate=PRED.hasInputProduct, object=data_product2_id)
        self.addCleanup(self.rrclient.delete_association, assoc_id)

        # Register the instrument and process. This links the device and the data process
        # with their own producers
        self.damsclient.register_instrument(device_id)
        self.addCleanup(self.damsclient.unregister_instrument, device_id)
        self.damsclient.register_process(data_process_id)
        self.addCleanup(self.damsclient.unregister_process, data_process_id)

        #Manually link the first DataProduct with the test DataProducer
        assoc_id, _ = self.rrclient.create_association(subject=data_product1_id, predicate=PRED.hasDataProducer, object=data_producer_id)

        #Get the DataProducer linked to the DataProcess (created in register_process above)
        #Associate that with with DataProduct1's DataProducer
        data_process_producer_ids, _ = self.rrclient.find_objects(subject=data_process_id, predicate=PRED.hasDataProducer, object_type=RT.DataProducer, id_only=True)
        assoc_id, _ = self.rrclient.create_association(subject=data_process_producer_ids[0], predicate=PRED.hasParent, object=data_producer_id)
        self.addCleanup(self.rrclient.delete_association, assoc_id)

        #Get the DataProducer linked to the Device (created in register_instrument
        #Associate that with the DataProcess's DataProducer
        device_producer_ids, _ = self.rrclient.find_objects(subject=device_id, predicate=PRED.hasDataProducer, object_type=RT.DataProducer, id_only=True)
        assoc_id, _ = self.rrclient.create_association(subject=data_producer_id, predicate=PRED.hasParent, object=device_producer_ids[0])

        #Create the links between the Device, DataProducts, DataProcess, and all DataProducers
        self.damsclient.assign_data_product(input_resource_id=device_id, data_product_id=data_product1_id)
        self.addCleanup(self.damsclient.unassign_data_product, device_id, data_product1_id)
        self.damsclient.assign_data_product(input_resource_id=data_process_id, data_product_id=data_product2_id)
        self.addCleanup(self.damsclient.unassign_data_product, data_process_id, data_product2_id)

        #Traverse through the relationships to get the links between objects
        res = self.dpmsclient.get_data_product_provenance_report(data_product2_id)

        #Make sure there are four keys
        self.assertEqual(len(res.keys()), 4)

        parent_count = 0
        config_count = 0
        for v in res.itervalues():
            if 'parent' in v:
                parent_count += 1
            if 'config' in v:
                config_count += 1

        #Make sure there are three parents and four configs
        self.assertEqual(parent_count, 3)
        self.assertEqual(config_count, 4)


    @unittest.skip('This test is obsolete with new framework')
    def test_get_provenance(self):

        #create a deployment with metadata and an initial site and device
        instrument_site_obj = IonObject(RT.InstrumentSite,
                                        name='InstrumentSite1',
                                        description='test instrument site')
        instrument_site_id = self.omsclient.create_instrument_site(instrument_site_obj, "")
        log.debug( 'test_get_provenance: new instrument_site_id id = %s ', str(instrument_site_id))


        # Create InstrumentModel
        instModel_obj = IonObject(RT.InstrumentModel,
                                  name='SBE37IMModel',
                                  description="SBE37IMModel" )

        try:
            instModel_id = self.imsclient.create_instrument_model(instModel_obj)
        except BadRequest as ex:
            self.fail("failed to create new InstrumentModel: %s" %ex)
        log.debug( 'test_get_provenance: new InstrumentModel id = %s ', str(instModel_id))

        self.omsclient.assign_instrument_model_to_instrument_site(instModel_id, instrument_site_id)


        # Create InstrumentAgent
        parsed_config = StreamConfiguration(stream_name='parsed', parameter_dictionary_name='ctd_parsed_param_dict' )
        instAgent_obj = IonObject(RT.InstrumentAgent,
                                name='agent007',
                                description="SBE37IMAgent",
                                driver_uri=DRV_URI_GOOD,
                                stream_configurations = [parsed_config] )
        try:
            instAgent_id = self.imsclient.create_instrument_agent(instAgent_obj)
        except BadRequest as ex:
            self.fail("failed to create new InstrumentAgent: %s" %ex)
        log.debug( 'test_get_provenance:new InstrumentAgent id = %s', instAgent_id)

        self.imsclient.assign_instrument_model_to_instrument_agent(instModel_id, instAgent_id)

        # Create InstrumentDevice
        log.debug('test_get_provenance: Create instrument resource to represent the SBE37 (SA Req: L4-CI-SA-RQ-241) ')
        instDevice_obj = IonObject(RT.InstrumentDevice, name='SBE37IMDevice', description="SBE37IMDevice", serial_number="12345" )
        try:
            instDevice_id = self.imsclient.create_instrument_device(instrument_device=instDevice_obj)
            self.imsclient.assign_instrument_model_to_instrument_device(instModel_id, instDevice_id)
        except BadRequest as ex:
            self.fail("failed to create new InstrumentDevice: %s" %ex)

        log.debug("test_get_provenance: new InstrumentDevice id = %s    (SA Req: L4-CI-SA-RQ-241) ", instDevice_id)


        #-------------------------------
        # Create CTD Parsed  data product
        #-------------------------------
        tdom, sdom = time_series_domain()
        sdom = sdom.dump()
        tdom = tdom.dump()


        pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
        parsed_stream_def_id = self.pubsubclient.create_stream_definition(name='parsed', parameter_dictionary_id=pdict_id)

        log.debug( 'test_get_provenance:Creating new CDM data product with a stream definition')


        dp_obj = IonObject(RT.DataProduct,
            name='the parsed data',
            description='ctd stream test',
            temporal_domain = tdom,
            spatial_domain = sdom)

        ctd_parsed_data_product = self.dpmsclient.create_data_product(data_product=dp_obj, stream_definition_id=parsed_stream_def_id)
        log.debug( 'new dp_id = %s', ctd_parsed_data_product)

        self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=ctd_parsed_data_product)
        self.dpmsclient.activate_data_product_persistence(data_product_id=ctd_parsed_data_product)

        #-------------------------------
        # create a data product for the site to pass the OMS check.... we need to remove this check
        #-------------------------------
        dp_obj = IonObject(RT.DataProduct,
            name='DP1',
            description='some new dp',
            temporal_domain = tdom,
            spatial_domain = sdom)

        log_data_product_id = self.dpmsclient.create_data_product(dp_obj, parsed_stream_def_id)


        #-------------------------------
        # Deploy instrument device to instrument site
        #-------------------------------
        deployment_obj = IonObject(RT.Deployment,
                                        name='TestDeployment',
                                        description='some new deployment')
        deployment_id = self.omsclient.create_deployment(deployment_obj)
        self.omsclient.deploy_instrument_site(instrument_site_id, deployment_id)
        self.imsclient.deploy_instrument_device(instDevice_id, deployment_id)

        log.debug("test_create_deployment: created deployment id: %s ", str(deployment_id) )

        self.omsclient.activate_deployment(deployment_id)
        inst_device_objs, _ = self.rrclient.find_objects(subject=instrument_site_id, predicate=PRED.hasDevice, object_type=RT.InstrumetDevice, id_only=False)
        log.debug("test_create_deployment: deployed device: %s ", str(inst_device_objs[0]) )

        #-------------------------------
        # Create the agent instance
        #-------------------------------

        port_agent_config = {
            'device_addr':  CFG.device.sbe37.host,
            'device_port':  CFG.device.sbe37.port,
            'process_type': PortAgentProcessType.UNIX,
            'binary_path': "port_agent",
            'port_agent_addr': 'localhost',
            'command_port': CFG.device.sbe37.port_agent_cmd_port,
            'data_port': CFG.device.sbe37.port_agent_data_port,
            'log_level': 5,
            'type': PortAgentType.ETHERNET
        }


        instAgentInstance_obj = IonObject(RT.InstrumentAgentInstance, name='SBE37IMAgentInstance',
            description="SBE37IMAgentInstance",
            port_agent_config = port_agent_config)

        instAgentInstance_id = self.imsclient.create_instrument_agent_instance(instAgentInstance_obj, instAgent_id, instDevice_id)


        #-------------------------------
        # L0 Conductivity - Temperature - Pressure: Data Process Definition
        #-------------------------------
        log.debug("TestDataProductProvenance: create data process definition ctd_L0_all")
        dpd_obj = IonObject(RT.DataProcessDefinition,
                            name='ctd_L0_all',
                            description='transform ctd package into three separate L0 streams',
                            module='ion.processes.data.transforms.ctd.ctd_L0_all',
                            class_name='ctd_L0_all')
        try:
            ctd_L0_all_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
        except BadRequest as ex:
            self.fail("failed to create new ctd_L0_all data process definition: %s" %ex)


        #-------------------------------
        # L1 Conductivity: Data Process Definition
        #-------------------------------
        log.debug("TestDataProductProvenance: create data process definition CTDL1ConductivityTransform")
        dpd_obj = IonObject(RT.DataProcessDefinition,
                            name='ctd_L1_conductivity',
                            description='create the L1 conductivity data product',
                            module='ion.processes.data.transforms.ctd.ctd_L1_conductivity',
                            class_name='CTDL1ConductivityTransform')
        try:
            ctd_L1_conductivity_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
        except BadRequest as ex:
            self.fail("failed to create new CTDL1ConductivityTransform data process definition: %s" %ex)

        #-------------------------------
        # L1 Pressure: Data Process Definition
        #-------------------------------
        log.debug("TestDataProductProvenance: create data process definition CTDL1PressureTransform")
        dpd_obj = IonObject(RT.DataProcessDefinition,
                            name='ctd_L1_pressure',
                            description='create the L1 pressure data product',
                            module='ion.processes.data.transforms.ctd.ctd_L1_pressure',
                            class_name='CTDL1PressureTransform')
        try:
            ctd_L1_pressure_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
        except BadRequest as ex:
            self.fail("failed to create new CTDL1PressureTransform data process definition: %s" %ex)


        #-------------------------------
        # L1 Temperature: Data Process Definition
        #-------------------------------
        log.debug("TestDataProductProvenance: create data process definition CTDL1TemperatureTransform")
        dpd_obj = IonObject(RT.DataProcessDefinition,
                            name='ctd_L1_temperature',
                            description='create the L1 temperature data product',
                            module='ion.processes.data.transforms.ctd.ctd_L1_temperature',
                            class_name='CTDL1TemperatureTransform')
        try:
            ctd_L1_temperature_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
        except BadRequest as ex:
            self.fail("failed to create new CTDL1TemperatureTransform data process definition: %s" %ex)


        #-------------------------------
        # L2 Salinity: Data Process Definition
        #-------------------------------
        log.debug("TestDataProductProvenance: create data process definition SalinityTransform")
        dpd_obj = IonObject(RT.DataProcessDefinition,
                            name='ctd_L2_salinity',
                            description='create the L1 temperature data product',
                            module='ion.processes.data.transforms.ctd.ctd_L2_salinity',
                            class_name='SalinityTransform')
        try:
            ctd_L2_salinity_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
        except BadRequest as ex:
            self.fail("failed to create new SalinityTransform data process definition: %s" %ex)


        #-------------------------------
        # L2 Density: Data Process Definition
        #-------------------------------
        log.debug("TestDataProductProvenance: create data process definition DensityTransform")
        dpd_obj = IonObject(RT.DataProcessDefinition,
                            name='ctd_L2_density',
                            description='create the L1 temperature data product',
                            module='ion.processes.data.transforms.ctd.ctd_L2_density',
                            class_name='DensityTransform')
        try:
            ctd_L2_density_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
        except BadRequest as ex:
            self.fail("failed to create new DensityTransform data process definition: %s" %ex)



        #-------------------------------
        # L0 Conductivity - Temperature - Pressure: Output Data Products
        #-------------------------------

        outgoing_stream_l0_conductivity_id = self.pubsubclient.create_stream_definition(name='L0_Conductivity', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_conductivity_id, ctd_L0_all_dprocdef_id, binding='conductivity' )

        outgoing_stream_l0_pressure_id = self.pubsubclient.create_stream_definition(name='L0_Pressure', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_pressure_id, ctd_L0_all_dprocdef_id, binding='pressure' )

        outgoing_stream_l0_temperature_id = self.pubsubclient.create_stream_definition(name='L0_Temperature', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_temperature_id, ctd_L0_all_dprocdef_id, binding='temperature' )


        log.debug("TestDataProductProvenance: create output data product L0 conductivity")

        ctd_l0_conductivity_output_dp_obj = IonObject(  RT.DataProduct,
                                                        name='L0_Conductivity',
                                                        description='transform output conductivity',
                                                        temporal_domain = tdom,
                                                        spatial_domain = sdom)

        ctd_l0_conductivity_output_dp_id = self.dpmsclient.create_data_product(ctd_l0_conductivity_output_dp_obj,
                                                                                outgoing_stream_l0_conductivity_id)


        log.debug("TestDataProductProvenance: create output data product L0 pressure")

        ctd_l0_pressure_output_dp_obj = IonObject(  RT.DataProduct,
                                                    name='L0_Pressure',
                                                    description='transform output pressure',
                                                    temporal_domain = tdom,
                                                    spatial_domain = sdom)

        ctd_l0_pressure_output_dp_id = self.dpmsclient.create_data_product(ctd_l0_pressure_output_dp_obj,
                                                                            outgoing_stream_l0_pressure_id)
        log.debug("TestDataProductProvenance: create output data product L0 temperature")

        ctd_l0_temperature_output_dp_obj = IonObject(   RT.DataProduct,
                                                        name='L0_Temperature',
                                                        description='transform output temperature',
                                                        temporal_domain = tdom,
                                                        spatial_domain = sdom)

        ctd_l0_temperature_output_dp_id = self.dpmsclient.create_data_product(ctd_l0_temperature_output_dp_obj,
                                                                                outgoing_stream_l0_temperature_id)

        #-------------------------------
        # L1 Conductivity - Temperature - Pressure: Output Data Products
        #-------------------------------

        outgoing_stream_l1_conductivity_id = self.pubsubclient.create_stream_definition(name='L1_conductivity', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l1_conductivity_id, ctd_L1_conductivity_dprocdef_id, binding='conductivity' )

        outgoing_stream_l1_pressure_id = self.pubsubclient.create_stream_definition(name='L1_Pressure', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l1_pressure_id, ctd_L1_pressure_dprocdef_id, binding='pressure' )

        outgoing_stream_l1_temperature_id = self.pubsubclient.create_stream_definition(name='L1_Temperature', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l1_temperature_id, ctd_L1_temperature_dprocdef_id, binding='temperature' )

        log.debug("TestDataProductProvenance: create output data product L1 conductivity")

        ctd_l1_conductivity_output_dp_obj = IonObject(RT.DataProduct,
            name='L1_Conductivity',
            description='transform output L1 conductivity',
            temporal_domain = tdom,
            spatial_domain = sdom)

        ctd_l1_conductivity_output_dp_id = self.dpmsclient.create_data_product(ctd_l1_conductivity_output_dp_obj,
                                                                                outgoing_stream_l1_conductivity_id)


        log.debug("TestDataProductProvenance: create output data product L1 pressure")

        ctd_l1_pressure_output_dp_obj = IonObject(  RT.DataProduct,
                                                    name='L1_Pressure',
                                                    description='transform output L1 pressure',
                                                    temporal_domain = tdom,
                                                    spatial_domain = sdom)

        ctd_l1_pressure_output_dp_id = self.dpmsclient.create_data_product(ctd_l1_pressure_output_dp_obj,
                                                                            outgoing_stream_l1_pressure_id)


        log.debug("TestDataProductProvenance: create output data product L1 temperature")

        ctd_l1_temperature_output_dp_obj = IonObject(   RT.DataProduct,
                                                        name='L1_Temperature',
                                                        description='transform output L1 temperature',
                                                        temporal_domain = tdom,
                                                        spatial_domain = sdom)

        ctd_l1_temperature_output_dp_id = self.dpmsclient.create_data_product(ctd_l1_temperature_output_dp_obj,
                                                                                outgoing_stream_l1_temperature_id)

        #-------------------------------
        # L2 Salinity - Density: Output Data Products
        #-------------------------------

        outgoing_stream_l2_salinity_id = self.pubsubclient.create_stream_definition(name='L2_salinity', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l2_salinity_id, ctd_L2_salinity_dprocdef_id, binding='salinity' )

        outgoing_stream_l2_density_id = self.pubsubclient.create_stream_definition(name='L2_Density', parameter_dictionary_id=pdict_id)
        self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l2_density_id, ctd_L2_density_dprocdef_id, binding='density' )

        log.debug("TestDataProductProvenance: create output data product L2 Salinity")

        ctd_l2_salinity_output_dp_obj = IonObject( RT.DataProduct,
                                                    name='L2_Salinity',
                                                    description='transform output L2 salinity',
                                                    temporal_domain = tdom,
                                                    spatial_domain = sdom)


        ctd_l2_salinity_output_dp_id = self.dpmsclient.create_data_product(ctd_l2_salinity_output_dp_obj,
                                                                            outgoing_stream_l2_salinity_id)


        log.debug("TestDataProductProvenance: create output data product L2 Density")

#        ctd_l2_density_output_dp_obj = IonObject(   RT.DataProduct,
#                                                    name='L2_Density',
#                                                    description='transform output pressure',
#                                                    temporal_domain = tdom,
#                                                    spatial_domain = sdom)
#
#        ctd_l2_density_output_dp_id = self.dpmsclient.create_data_product(ctd_l2_density_output_dp_obj,
#                                                                            outgoing_stream_l2_density_id,
#                                                                            parameter_dictionary)

        contactInfo = ContactInformation()
        contactInfo.individual_names_given = "Bill"
        contactInfo.individual_name_family = "Smith"
        contactInfo.street_address = "111 First St"
        contactInfo.city = "San Diego"
        contactInfo.email = "*****@*****.**"
        contactInfo.phones = ["858-555-6666"]
        contactInfo.country = "USA"
        contactInfo.postal_code = "92123"

        ctd_l2_density_output_dp_obj = IonObject(   RT.DataProduct,
                                                    name='L2_Density',
                                                    description='transform output pressure',
                                                    contacts = [contactInfo],
                                                    iso_topic_category = "my_iso_topic_category_here",
                                                    quality_control_level = "1",
                                                    temporal_domain = tdom,
                                                    spatial_domain = sdom)

        ctd_l2_density_output_dp_id = self.dpmsclient.create_data_product(ctd_l2_density_output_dp_obj,
                                                                            outgoing_stream_l2_density_id)

        #-------------------------------
        # L0 Conductivity - Temperature - Pressure: Create the data process
        #-------------------------------
        log.debug("TestDataProductProvenance: create L0 all data_process start")
        try:
            input_data_products = [ctd_parsed_data_product]
            output_data_products = [ctd_l0_conductivity_output_dp_id, ctd_l0_pressure_output_dp_id, ctd_l0_temperature_output_dp_id]

            ctd_l0_all_data_process_id = self.dataprocessclient.create_data_process(
                data_process_definition_id = ctd_L0_all_dprocdef_id,
                in_data_product_ids = input_data_products,
                out_data_product_ids = output_data_products
            )
            #activate only this data process just for coverage
            self.dataprocessclient.activate_data_process(ctd_l0_all_data_process_id)
        except BadRequest as ex:
            self.fail("failed to create new data process: %s" %ex)

        contents = "this is the lookup table  contents, replace with a file..."
        att = IonObject(RT.Attachment, name='deviceLookupTable', content=base64.encodestring(contents), keywords=['DataProcessInput'], attachment_type=AttachmentType.ASCII)
        deviceAttachment = self.rrclient.create_attachment(ctd_l0_all_data_process_id, att)
        log.info( 'test_createTransformsThenActivateInstrument: InstrumentDevice attachment id = %s', deviceAttachment)

        log.debug("TestDataProductProvenance: create L0 all data_process return")


        #-------------------------------
        # L1 Conductivity: Create the data process
        #-------------------------------
        log.debug("TestDataProductProvenance: create L1 Conductivity data_process start")
        try:
            l1_conductivity_data_process_id = self.dataprocessclient.create_data_process(
                data_process_definition_id = ctd_L1_conductivity_dprocdef_id,
                in_data_product_ids = [ctd_l0_conductivity_output_dp_id],
                out_data_product_ids = [ctd_l1_conductivity_output_dp_id])
            
            self.dataprocessclient.activate_data_process(l1_conductivity_data_process_id)
        except BadRequest as ex:
            self.fail("failed to create new data process: %s" %ex)




        #-------------------------------
        # L1 Pressure: Create the data process
        #-------------------------------
        log.debug("TestDataProductProvenance: create L1_Pressure data_process start")
        try:
            l1_pressure_data_process_id = self.dataprocessclient.create_data_process(
                data_process_definition_id = ctd_L1_pressure_dprocdef_id,
                in_data_product_ids = [ctd_l0_pressure_output_dp_id],
                out_data_product_ids = [ctd_l1_pressure_output_dp_id])

            self.dataprocessclient.activate_data_process(l1_pressure_data_process_id)
        except BadRequest as ex:
            self.fail("failed to create new data process: %s" %ex)


        #-------------------------------
        # L1 Temperature: Create the data process
        #-------------------------------
        log.debug("TestDataProductProvenance: create L1_Pressure data_process start")
        try:
            l1_temperature_all_data_process_id = self.dataprocessclient.create_data_process(
                data_process_definition_id = ctd_L1_temperature_dprocdef_id,
                in_data_product_ids = [ctd_l0_temperature_output_dp_id],
                out_data_product_ids = [ctd_l1_temperature_output_dp_id])

            self.dataprocessclient.activate_data_process(l1_temperature_all_data_process_id)
        except BadRequest as ex:
            self.fail("failed to create new data process: %s" %ex)

        #-------------------------------
        # L2 Salinity: Create the data process
        #-------------------------------
        log.debug("TestDataProductProvenance: create L2_salinity data_process start")
        try:
            l2_salinity_all_data_process_id = self.dataprocessclient.create_data_process(
                data_process_definition_id = ctd_L2_salinity_dprocdef_id,
                in_data_product_ids = [ctd_l1_conductivity_output_dp_id, ctd_l1_pressure_output_dp_id, ctd_l1_temperature_output_dp_id],
                out_data_product_ids = [ctd_l2_salinity_output_dp_id])

            self.dataprocessclient.activate_data_process(l2_salinity_all_data_process_id)
        except BadRequest as ex:
            self.fail("failed to create new data process: %s" %ex)


        #-------------------------------
        # L2 Density: Create the data process
        #-------------------------------
        log.debug("TestDataProductProvenance: create L2_Density data_process start")
        try:
            in_dp_ids = [ctd_l1_conductivity_output_dp_id, ctd_l1_pressure_output_dp_id, ctd_l1_temperature_output_dp_id]
            out_dp_ids = [ctd_l2_density_output_dp_id]

            l2_density_all_data_process_id = self.dataprocessclient.create_data_process(
                data_process_definition_id = ctd_L2_density_dprocdef_id,
                in_data_product_ids = in_dp_ids,
                out_data_product_ids = out_dp_ids)

            self.dataprocessclient.activate_data_process(l2_density_all_data_process_id)
        except BadRequest as ex:
            self.fail("failed to create new data process: %s" %ex)



        #-------------------------------
        # Launch InstrumentAgentInstance, connect to the resource agent client
        #-------------------------------
        self.imsclient.start_instrument_agent_instance(instrument_agent_instance_id=instAgentInstance_id)

        inst_agent_instance_obj= self.imsclient.read_instrument_agent_instance(instAgentInstance_id)
        print 'TestDataProductProvenance: Instrument agent instance obj: = ', inst_agent_instance_obj

        # Start a resource agent client to talk with the instrument agent.
#        self._ia_client = ResourceAgentClient('iaclient', name=ResourceAgentClient._get_agent_process_id(instDevice_id,  process=FakeProcess())
#        print 'activate_instrument: got ia client %s', self._ia_client
#        log.debug(" test_createTransformsThenActivateInstrument:: got ia client %s", str(self._ia_client))


        #-------------------------------
        # Deactivate InstrumentAgentInstance
        #-------------------------------
        self.imsclient.stop_instrument_agent_instance(instrument_agent_instance_id=instAgentInstance_id)

        self.dataprocessclient.deactivate_data_process(l2_density_all_data_process_id)
        self.dataprocessclient.deactivate_data_process(l2_salinity_all_data_process_id)
        self.dataprocessclient.deactivate_data_process(l1_temperature_all_data_process_id)
        self.dataprocessclient.deactivate_data_process(l1_pressure_data_process_id)
        self.dataprocessclient.deactivate_data_process(l1_conductivity_data_process_id)
        self.dataprocessclient.deactivate_data_process(ctd_l0_all_data_process_id)

        #-------------------------------
        # Retrieve the provenance info for the ctd density data product
        #-------------------------------
        provenance_dict = self.dpmsclient.get_data_product_provenance(ctd_l2_density_output_dp_id)
        log.debug("TestDataProductProvenance: provenance_dict  %s", str(provenance_dict))

        #validate that products are represented
        self.assertTrue (provenance_dict[str(ctd_l1_conductivity_output_dp_id)])
        self.assertTrue (provenance_dict[str(ctd_l0_conductivity_output_dp_id)])
        self.assertTrue (provenance_dict[str(ctd_l2_density_output_dp_id)])
        self.assertTrue (provenance_dict[str(ctd_l1_temperature_output_dp_id)])
        self.assertTrue (provenance_dict[str(ctd_l0_temperature_output_dp_id)])

        density_dict = (provenance_dict[str(ctd_l2_density_output_dp_id)])
        self.assertEquals(density_dict['producer'], [l2_density_all_data_process_id])


        #-------------------------------
        # Retrieve the extended resource for this data product
        #-------------------------------
        extended_product = self.dpmsclient.get_data_product_extension(ctd_l2_density_output_dp_id)
        self.assertEqual(1, len(extended_product.data_processes) )
        self.assertEqual(3, len(extended_product.process_input_data_products) )
#        log.debug("TestDataProductProvenance: DataProduct provenance_product_list  %s", str(extended_product.provenance_product_list))
#        log.debug("TestDataProductProvenance: DataProduct data_processes  %s", str(extended_product.data_processes))
#        log.debug("TestDataProductProvenance: DataProduct process_input_data_products  %s", str(extended_product.process_input_data_products))
#        log.debug("TestDataProductProvenance: provenance  %s", str(extended_product.computed.provenance.value))

        #-------------------------------
        # Retrieve the extended resource for this data process
        #-------------------------------
        extended_process_def = self.dataprocessclient.get_data_process_definition_extension(ctd_L0_all_dprocdef_id)

#        log.debug("TestDataProductProvenance: DataProcess extended_process_def  %s", str(extended_process_def))
#        log.debug("TestDataProductProvenance: DataProcess data_processes  %s", str(extended_process_def.data_processes))
#        log.debug("TestDataProductProvenance: DataProcess data_products  %s", str(extended_process_def.data_products))
        self.assertEqual(1, len(extended_process_def.data_processes) )
        self.assertEqual(3, len(extended_process_def.output_stream_definitions) )
        self.assertEqual(3, len(extended_process_def.data_products) ) #one list because of one data process

        #-------------------------------
        # Request the xml report
        #-------------------------------
        results = self.dpmsclient.get_data_product_provenance_report(ctd_l2_density_output_dp_id)
        print results

        #-------------------------------
        # Cleanup
        #-------------------------------

        self.dpmsclient.delete_data_product(ctd_parsed_data_product)
        self.dpmsclient.delete_data_product(log_data_product_id)
        self.dpmsclient.delete_data_product(ctd_l0_conductivity_output_dp_id)
        self.dpmsclient.delete_data_product(ctd_l0_pressure_output_dp_id)
        self.dpmsclient.delete_data_product(ctd_l0_temperature_output_dp_id)
        self.dpmsclient.delete_data_product(ctd_l1_conductivity_output_dp_id)
        self.dpmsclient.delete_data_product(ctd_l1_pressure_output_dp_id)
        self.dpmsclient.delete_data_product(ctd_l1_temperature_output_dp_id)
        self.dpmsclient.delete_data_product(ctd_l2_salinity_output_dp_id)
        self.dpmsclient.delete_data_product(ctd_l2_density_output_dp_id)
class CtdTransformsIntTest(IonIntegrationTestCase):
    def setUp(self):
        super(CtdTransformsIntTest, self).setUp()

        self._start_container()
        self.container.start_rel_from_url("res/deploy/r2deploy.yml")

        self.pubsub = PubsubManagementServiceClient()
        self.process_dispatcher = ProcessDispatcherServiceClient()
        self.dataset_management = DatasetManagementServiceClient()
        self.data_process_management = DataProcessManagementServiceClient()
        self.dataproduct_management = DataProductManagementServiceClient()
        self.resource_registry = ResourceRegistryServiceClient()

        # This is for the time values inside the packets going into the transform
        self.i = 0

        # Cleanup of queue created by the subscriber
        self.queue_cleanup = []
        self.data_process_cleanup = []

    def _create_input_param_dict_for_test(self, parameter_dict_name=""):

        pdict = ParameterDictionary()

        t_ctxt = ParameterContext("time", param_type=QuantityType(value_encoding=numpy.dtype("float64")))
        t_ctxt.axis = AxisTypeEnum.TIME
        t_ctxt.uom = "seconds since 01-01-1900"
        pdict.add_context(t_ctxt)

        cond_ctxt = ParameterContext("conductivity", param_type=QuantityType(value_encoding=numpy.dtype("float32")))
        cond_ctxt.uom = ""
        pdict.add_context(cond_ctxt)

        pres_ctxt = ParameterContext("pressure", param_type=QuantityType(value_encoding=numpy.dtype("float32")))
        pres_ctxt.uom = ""
        pdict.add_context(pres_ctxt)

        if parameter_dict_name == "input_param_dict":
            temp_ctxt = ParameterContext("temperature", param_type=QuantityType(value_encoding=numpy.dtype("float32")))
        else:
            temp_ctxt = ParameterContext("temp", param_type=QuantityType(value_encoding=numpy.dtype("float32")))

        temp_ctxt.uom = ""
        pdict.add_context(temp_ctxt)

        dens_ctxt = ParameterContext("density", param_type=QuantityType(value_encoding=numpy.dtype("float32")))
        dens_ctxt.uom = ""
        pdict.add_context(dens_ctxt)

        sal_ctxt = ParameterContext("salinity", param_type=QuantityType(value_encoding=numpy.dtype("float32")))
        sal_ctxt.uom = ""
        pdict.add_context(sal_ctxt)

        # create temp streamdef so the data product can create the stream
        pc_list = []
        for pc_k, pc in pdict.iteritems():
            ctxt_id = self.dataset_management.create_parameter_context(pc_k, pc[1].dump())
            pc_list.append(ctxt_id)
            if parameter_dict_name == "input_param_dict":
                self.addCleanup(self.dataset_management.delete_parameter_context, ctxt_id)
            elif parameter_dict_name == "output_param_dict" and pc[1].name == "temp":
                self.addCleanup(self.dataset_management.delete_parameter_context, ctxt_id)

        pdict_id = self.dataset_management.create_parameter_dictionary(parameter_dict_name, pc_list)
        self.addCleanup(self.dataset_management.delete_parameter_dictionary, pdict_id)

        return pdict_id

    def _get_new_ctd_L0_packet(self, stream_definition_id, length):

        rdt = RecordDictionaryTool(stream_definition_id=stream_definition_id)
        rdt["time"] = numpy.arange(self.i, self.i + length)

        for field in rdt:
            if isinstance(rdt._pdict.get_context(field).param_type, QuantityType):
                rdt[field] = numpy.array([random.uniform(0.0, 75.0) for i in xrange(length)])

        g = rdt.to_granule()
        self.i += length

        return g

    def _create_calibration_coefficients_dict(self):
        config = DotDict()
        config.process.calibration_coeffs = {
            "temp_calibration_coeffs": {
                "TA0": 1.561342e-03,
                "TA1": 2.561486e-04,
                "TA2": 1.896537e-07,
                "TA3": 1.301189e-07,
                "TOFFSET": 0.000000e00,
            },
            "cond_calibration_coeffs": {
                "G": -9.896568e-01,
                "H": 1.316599e-01,
                "I": -2.213854e-04,
                "J": 3.292199e-05,
                "CPCOR": -9.570000e-08,
                "CTCOR": 3.250000e-06,
                "CSLOPE": 1.000000e00,
            },
            "pres_calibration_coeffs": {
                "PA0": 4.960417e-02,
                "PA1": 4.883682e-04,
                "PA2": -5.687309e-12,
                "PTCA0": 5.249802e05,
                "PTCA1": 7.595719e00,
                "PTCA2": -1.322776e-01,
                "PTCB0": 2.503125e01,
                "PTCB1": 5.000000e-05,
                "PTCB2": 0.000000e00,
                "PTEMPA0": -6.431504e01,
                "PTEMPA1": 5.168177e01,
                "PTEMPA2": -2.847757e-01,
                "POFFSET": 0.000000e00,
            },
        }

        return config

    def clean_queues(self):
        for queue in self.queue_cleanup:
            xn = self.container.ex_manager.create_xn_queue(queue)
            xn.delete()

    def cleaning_operations(self):
        for dproc_id in self.data_process_cleanup:
            self.data_process_management.delete_data_process(dproc_id)

    def test_ctd_L1_all(self):
        """
        Test that packets are processed by the ctd_L1_all transform
        """

        # ----------- Data Process Definition --------------------------------

        dpd_obj = IonObject(
            RT.DataProcessDefinition,
            name="CTDBP_L1_Transform",
            description="Take granules on the L0 stream which have the C, T and P data and separately apply algorithms and output on the L1 stream.",
            module="ion.processes.data.transforms.ctdbp.ctdbp_L1",
            class_name="CTDBP_L1_Transform",
        )

        dprocdef_id = self.data_process_management.create_data_process_definition(dpd_obj)
        self.addCleanup(self.data_process_management.delete_data_process_definition, dprocdef_id)

        log.debug("created data process definition: id = %s", dprocdef_id)

        # ----------- Data Products --------------------------------

        # Construct temporal and spatial Coordinate Reference System objects
        tdom, sdom = time_series_domain()

        sdom = sdom.dump()
        tdom = tdom.dump()

        # Get the stream definition for the stream using the parameter dictionary
        L0_pdict_id = self._create_input_param_dict_for_test(parameter_dict_name="input_param_dict")

        L0_stream_def_id = self.pubsub.create_stream_definition(name="parsed", parameter_dictionary_id=L0_pdict_id)
        self.addCleanup(self.pubsub.delete_stream_definition, L0_stream_def_id)

        L1_pdict_id = self._create_input_param_dict_for_test(parameter_dict_name="output_param_dict")
        L1_stream_def_id = self.pubsub.create_stream_definition(name="L1_out", parameter_dictionary_id=L1_pdict_id)
        self.addCleanup(self.pubsub.delete_stream_definition, L1_stream_def_id)

        log.debug("Got the parsed parameter dictionary: id: %s", L0_pdict_id)
        log.debug("Got the stream def for parsed input: %s", L0_stream_def_id)

        log.debug("got the stream def for the output: %s", L1_stream_def_id)

        # Input data product
        L0_stream_dp_obj = IonObject(
            RT.DataProduct,
            name="L0_stream",
            description="L0 stream input to CTBP L1 transform",
            temporal_domain=tdom,
            spatial_domain=sdom,
        )

        input_dp_id = self.dataproduct_management.create_data_product(
            data_product=L0_stream_dp_obj, stream_definition_id=L0_stream_def_id
        )
        self.addCleanup(self.dataproduct_management.delete_data_product, input_dp_id)

        # output data product
        L1_stream_dp_obj = IonObject(
            RT.DataProduct,
            name="L1_stream",
            description="L1_stream output of CTBP L1 transform",
            temporal_domain=tdom,
            spatial_domain=sdom,
        )

        L1_stream_dp_id = self.dataproduct_management.create_data_product(
            data_product=L1_stream_dp_obj, stream_definition_id=L1_stream_def_id
        )
        self.addCleanup(self.dataproduct_management.delete_data_product, L1_stream_dp_id)

        # We need the key name here to be "L1_stream", since when the data process is launched, this name goes into
        # the config as in config.process.publish_streams.L1_stream when the config is used to launch the data process
        out_stream_ids, _ = self.resource_registry.find_objects(L1_stream_dp_id, PRED.hasStream, RT.Stream, True)
        self.assertTrue(len(out_stream_ids))
        output_stream_id = out_stream_ids[0]

        config = self._create_calibration_coefficients_dict()
        dproc_id = self.data_process_management.create_data_process(
            data_process_definition_id=dprocdef_id,
            in_data_product_ids=[input_dp_id],
            out_data_product_ids=[L1_stream_dp_id],
            configuration=config,
        )

        self.addCleanup(self.data_process_management.delete_data_process, dproc_id)
        log.debug("Created a data process for ctdbp_L1. id: %s", dproc_id)

        # Activate the data process
        self.data_process_management.activate_data_process(dproc_id)
        self.addCleanup(self.data_process_management.deactivate_data_process, dproc_id)

        # ----------- Find the stream that is associated with the input data product when it was created by create_data_product() --------------------------------

        stream_ids, _ = self.resource_registry.find_objects(input_dp_id, PRED.hasStream, RT.Stream, True)

        input_stream_id = stream_ids[0]
        input_stream = self.resource_registry.read(input_stream_id)
        stream_route = input_stream.stream_route

        log.debug("The input stream for the L1 transform: %s", input_stream_id)

        # ----------- Create a subscriber that will listen to the transform's output --------------------------------

        ar = gevent.event.AsyncResult()

        def subscriber(m, r, s):
            ar.set(m)

        sub = StandaloneStreamSubscriber(exchange_name="sub", callback=subscriber)

        sub_id = self.pubsub.create_subscription(
            "subscriber_to_transform", stream_ids=[output_stream_id], exchange_name="sub"
        )
        self.addCleanup(self.pubsub.delete_subscription, sub_id)

        self.pubsub.activate_subscription(sub_id)
        self.addCleanup(self.pubsub.deactivate_subscription, sub_id)

        sub.start()
        self.addCleanup(sub.stop)

        # ----------- Publish on that stream so that the transform can receive it --------------------------------

        pub = StandaloneStreamPublisher(input_stream_id, stream_route)
        publish_granule = self._get_new_ctd_L0_packet(stream_definition_id=L0_stream_def_id, length=5)

        pub.publish(publish_granule)

        log.debug("Published the following granule: %s", publish_granule)

        granule_from_transform = ar.get(timeout=20)

        log.debug("Got the following granule from the transform: %s", granule_from_transform)

        # Check that the granule published by the L1 transform has the right properties
        self._check_granule_from_transform(granule_from_transform)

    def _check_granule_from_transform(self, granule):
        """
        An internal method to check if a granule has the right properties
        """

        rdt = RecordDictionaryTool.load_from_granule(granule)
        self.assertIn("pressure", rdt)
        self.assertIn("temp", rdt)
        self.assertIn("conductivity", rdt)
        self.assertIn("time", rdt)