class TestVisualizationServiceIntegration(VisualizationIntegrationTestHelper):

    def setUp(self):
        # Start container

        logging.disable(logging.ERROR)
        self._start_container()
        self.container.start_rel_from_url('res/deploy/r2deploy.yml')
        # simulate preloading
        #preload_ion_params(self.container)
        logging.disable(logging.NOTSET)

        #Instantiate a process to represent the test
        process=VisualizationServiceTestProcess()

        # Now create client to DataProductManagementService
        self.rrclient = ResourceRegistryServiceProcessClient(node=self.container.node, process=process)
        self.damsclient = DataAcquisitionManagementServiceProcessClient(node=self.container.node, process=process)
        self.pubsubclient =  PubsubManagementServiceProcessClient(node=self.container.node, process=process)
        self.ingestclient = IngestionManagementServiceProcessClient(node=self.container.node, process=process)
        self.imsclient = InstrumentManagementServiceProcessClient(node=self.container.node, process=process)
        self.dataproductclient = DataProductManagementServiceProcessClient(node=self.container.node, process=process)
        self.dataprocessclient = DataProcessManagementServiceProcessClient(node=self.container.node, process=process)
        self.datasetclient =  DatasetManagementServiceProcessClient(node=self.container.node, process=process)
        self.process_dispatcher = ProcessDispatcherServiceProcessClient(node=self.container.node, process=process)
        self.data_retriever = DataRetrieverServiceProcessClient(node=self.container.node, process=process)
        self.vis_client = VisualizationServiceProcessClient(node=self.container.node, process=process)

        self.ctd_stream_def = SBE37_CDM_stream_definition()

    def validate_messages(self, msgs):
        msg = msgs


        rdt = RecordDictionaryTool.load_from_granule(msg.body)

        vardict = {}
        vardict['temp'] = get_safe(rdt, 'temp')
        vardict['time'] = get_safe(rdt, 'time')
        print vardict['time']
        print vardict['temp']




    @attr('LOCOINT')
    #@patch.dict('pyon.ion.exchange.CFG', {'container':{'exchange':{'auto_register': False}}})
    @unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),'Not integrated for CEI')
    def test_visualization_queue(self):

        #The list of data product streams to monitor
        data_product_stream_ids = list()

        #Create the input data product
        ctd_stream_id, ctd_parsed_data_product_id = self.create_ctd_input_stream_and_data_product()
        data_product_stream_ids.append(ctd_stream_id)

        user_queue_name = USER_VISUALIZATION_QUEUE

        xq = self.container.ex_manager.create_xn_queue(user_queue_name)

        salinity_subscription_id = self.pubsubclient.create_subscription(
            stream_ids=data_product_stream_ids,
            exchange_name = user_queue_name,
            name = "user visualization queue"
        )

        subscriber = Subscriber(from_name=xq)
        subscriber.initialize()

        # after the queue has been created it is safe to activate the subscription
        self.pubsubclient.activate_subscription(subscription_id=salinity_subscription_id)

        #Start the output stream listener to monitor and collect messages
        #results = self.start_output_stream_and_listen(None, data_product_stream_ids)

        #Not sure why this is needed - but it is
        #subscriber._chan.stop_consume()

        ctd_sim_pid = self.start_simple_input_stream_process(ctd_stream_id)
        gevent.sleep(10.0)  # Send some messages - don't care how many

        msg_count,_ = xq.get_stats()
        log.info('Messages in user queue 1: %s ' % msg_count)

        #Validate the data from each of the messages along the way
        #self.validate_messages(results)

#        for x in range(msg_count):
#            mo = subscriber.get_one_msg(timeout=1)
#            print mo.body
#            mo.ack()

        msgs = subscriber.get_all_msgs(timeout=2)
        for x in range(len(msgs)):
            msgs[x].ack()
            self.validate_messages(msgs[x])
           # print msgs[x].body



        #Should be zero after pulling all of the messages.
        msg_count,_ = xq.get_stats()
        log.info('Messages in user queue 2: %s ' % msg_count)


        #Trying to continue to receive messages in the queue
        gevent.sleep(5.0)  # Send some messages - don't care how many


        #Turning off after everything - since it is more representative of an always on stream of data!
        self.process_dispatcher.cancel_process(ctd_sim_pid) # kill the ctd simulator process - that is enough data



        #Should see more messages in the queue
        msg_count,_ = xq.get_stats()
        log.info('Messages in user queue 3: %s ' % msg_count)

        msgs = subscriber.get_all_msgs(timeout=2)
        for x in range(len(msgs)):
            msgs[x].ack()
            self.validate_messages(msgs[x])

        #Should be zero after pulling all of the messages.
        msg_count,_ = xq.get_stats()
        log.info('Messages in user queue 4: %s ' % msg_count)

        subscriber.close()
        self.container.ex_manager.delete_xn(xq)




    @patch.dict(CFG, {'user_queue_monitor_timeout': 5})
    def test_realtime_visualization(self):

#        #Start up multiple vis service workers if not a CEI launch
#        if not os.getenv('CEI_LAUNCH_TEST', False):
#            vpid1 = self.container.spawn_process('visualization_service1','ion.services.ans.visualization_service','VisualizationService', CFG )
#            self.addCleanup(self.container.terminate_process, vpid1)
#            vpid2 = self.container.spawn_process('visualization_service2','ion.services.ans.visualization_service','VisualizationService', CFG )
#            self.addCleanup(self.container.terminate_process, vpid2)

        ## Create the Highcharts workflow definition since there is no preload for the test
        #workflow_def_id = self.create_highcharts_workflow_def()

        #Create the input data product
        ctd_stream_id, ctd_parsed_data_product_id = self.create_ctd_input_stream_and_data_product()
        ctd_sim_pid = self.start_sinusoidal_input_stream_process(ctd_stream_id)

        vis_params ={}
        vis_token_resp = self.vis_client.initiate_realtime_visualization_data(data_product_id=ctd_parsed_data_product_id, visualization_parameters=simplejson.dumps(vis_params))
        vis_token = ast.literal_eval(vis_token_resp)["rt_query_token"]

        result = gevent.event.AsyncResult()

        def get_vis_messages(get_data_count=7):  #SHould be an odd number for round robbin processing by service workers


            get_cnt = 0
            while get_cnt < get_data_count:

                vis_data = self.vis_client.get_realtime_visualization_data(vis_token)
                if (vis_data):
                    self.validate_highcharts_transform_results(vis_data)

                get_cnt += 1
                gevent.sleep(5) # simulates the polling from UI

            result.set(get_cnt)

        gevent.spawn(get_vis_messages)

        result.get(timeout=90)

        #Trying to continue to receive messages in the queue
        gevent.sleep(2.0)  # Send some messages - don't care how many


        # Cleanup
        self.vis_client.terminate_realtime_visualization_data(vis_token)


        #Turning off after everything - since it is more representative of an always on stream of data!
        self.process_dispatcher.cancel_process(ctd_sim_pid) # kill the ctd simulator process - that is enough data

    @patch.dict(CFG, {'user_queue_monitor_timeout': 5})
    @patch.dict(CFG, {'user_queue_monitor_size': 25})
    @attr('CLEANUP')
    @unittest.skipIf(os.getenv('PYCC_MODE', False),'Not integrated for CEI')
    def test_realtime_visualization_cleanup(self):

#        #Start up multiple vis service workers if not a CEI launch
#        if not os.getenv('CEI_LAUNCH_TEST', False):
#            vpid1 = self.container.spawn_process('visualization_service1','ion.services.ans.visualization_service','VisualizationService', CFG )
#            self.addCleanup(self.container.terminate_process, vpid1)
#            vpid2 = self.container.spawn_process('visualization_service2','ion.services.ans.visualization_service','VisualizationService', CFG )
#            self.addCleanup(self.container.terminate_process, vpid2)

        #get the list of queues and message counts on the broker for the user vis queues
        try:
            queues = self.container.ex_manager.list_queues(name=USER_VISUALIZATION_QUEUE, return_columns=['name', 'messages'])
            q_names = [ q['name'] for q in queues if q['name']] #Get a list of only the queue names
            original_queue_count = len(q_names)
        except Exception, e:
            log.warn('Unable to get queue information from broker management plugin: ' + e.message)
            pass

        ## Create the highcharts workflow definition since there is no preload for the test
        #workflow_def_id = self.create_highcharts_workflow_def()

        #Create the input data product
        ctd_stream_id, ctd_parsed_data_product_id = self.create_ctd_input_stream_and_data_product()
        ctd_sim_pid = self.start_sinusoidal_input_stream_process(ctd_stream_id)


        #Start up a number of requests - and queues - to start accumulating messages. THe test will not clean them up
        #but instead check to see if the monitoring thread will.
        vis_token_resp = self.vis_client.initiate_realtime_visualization_data(data_product_id=ctd_parsed_data_product_id)
        bad_vis_token1 = ast.literal_eval(vis_token_resp)["rt_query_token"]

        vis_token_resp = self.vis_client.initiate_realtime_visualization_data(data_product_id=ctd_parsed_data_product_id)
        bad_vis_token2 = ast.literal_eval(vis_token_resp)["rt_query_token"]

        vis_token_resp = self.vis_client.initiate_realtime_visualization_data(data_product_id=ctd_parsed_data_product_id)
        bad_vis_token3 = ast.literal_eval(vis_token_resp)["rt_query_token"]

        vis_token_resp = self.vis_client.initiate_realtime_visualization_data(data_product_id=ctd_parsed_data_product_id)
        vis_token = ast.literal_eval(vis_token_resp)["rt_query_token"]

        #Get the default exchange space
        exchange = self.container.ex_manager.default_xs.exchange


        #get the list of queues and message counts on the broker for the user vis queues
        try:
            queues = self.container.ex_manager.list_queues(name=USER_VISUALIZATION_QUEUE, return_columns=['name', 'messages'])
            q_names = [ q['name'] for q in queues if q['name']] #Get a list of only the queue names

            self.assertIn(exchange + "." + bad_vis_token1, q_names)
            self.assertIn(exchange + "." + bad_vis_token2, q_names)
            self.assertIn(exchange + "." + bad_vis_token3, q_names)
            self.assertIn(exchange + "." + vis_token, q_names)

        except Exception, e:
            log.warn('Unable to get queue information from broker management plugin: ' + e.message)
            pass
class TestVisualizationServiceIntegration(VisualizationIntegrationTestHelper):

    def setUp(self):
        # Start container

        logging.disable(logging.ERROR)
        self._start_container()
        self.container.start_rel_from_url('res/deploy/r2deploy.yml')
        # simulate preloading
        preload_ion_params(self.container)
        logging.disable(logging.NOTSET)

        #Instantiate a process to represent the test
        process=VisualizationServiceTestProcess()

        # Now create client to DataProductManagementService
        self.rrclient = ResourceRegistryServiceProcessClient(node=self.container.node, process=process)
        self.damsclient = DataAcquisitionManagementServiceProcessClient(node=self.container.node, process=process)
        self.pubsubclient =  PubsubManagementServiceProcessClient(node=self.container.node, process=process)
        self.ingestclient = IngestionManagementServiceProcessClient(node=self.container.node, process=process)
        self.imsclient = InstrumentManagementServiceProcessClient(node=self.container.node, process=process)
        self.dataproductclient = DataProductManagementServiceProcessClient(node=self.container.node, process=process)
        self.dataprocessclient = DataProcessManagementServiceProcessClient(node=self.container.node, process=process)
        self.datasetclient =  DatasetManagementServiceProcessClient(node=self.container.node, process=process)
        self.workflowclient = WorkflowManagementServiceProcessClient(node=self.container.node, process=process)
        self.process_dispatcher = ProcessDispatcherServiceProcessClient(node=self.container.node, process=process)
        self.data_retriever = DataRetrieverServiceProcessClient(node=self.container.node, process=process)
        self.vis_client = VisualizationServiceProcessClient(node=self.container.node, process=process)

        self.ctd_stream_def = SBE37_CDM_stream_definition()

    def validate_messages(self, msgs):
        msg = msgs


        rdt = RecordDictionaryTool.load_from_granule(msg.body)

        vardict = {}
        vardict['temp'] = get_safe(rdt, 'temp')
        vardict['time'] = get_safe(rdt, 'time')
        print vardict['time']
        print vardict['temp']




    @attr('LOCOINT')
    #@patch.dict('pyon.ion.exchange.CFG', {'container':{'exchange':{'auto_register': False}}})
    @unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),'Not integrated for CEI')
    def test_visualization_queue(self):

        #The list of data product streams to monitor
        data_product_stream_ids = list()

        #Create the input data product
        ctd_stream_id, ctd_parsed_data_product_id = self.create_ctd_input_stream_and_data_product()
        data_product_stream_ids.append(ctd_stream_id)

        user_queue_name = USER_VISUALIZATION_QUEUE

        xq = self.container.ex_manager.create_xn_queue(user_queue_name)

        salinity_subscription_id = self.pubsubclient.create_subscription(
            stream_ids=data_product_stream_ids,
            exchange_name = user_queue_name,
            name = "user visualization queue"
        )

        subscriber = Subscriber(from_name=xq)
        subscriber.initialize()

        # after the queue has been created it is safe to activate the subscription
        self.pubsubclient.activate_subscription(subscription_id=salinity_subscription_id)

        #Start the output stream listener to monitor and collect messages
        #results = self.start_output_stream_and_listen(None, data_product_stream_ids)

        #Not sure why this is needed - but it is
        #subscriber._chan.stop_consume()

        ctd_sim_pid = self.start_simple_input_stream_process(ctd_stream_id)
        gevent.sleep(10.0)  # Send some messages - don't care how many

        msg_count,_ = xq.get_stats()
        log.info('Messages in user queue 1: %s ' % msg_count)

        #Validate the data from each of the messages along the way
        #self.validate_messages(results)

#        for x in range(msg_count):
#            mo = subscriber.get_one_msg(timeout=1)
#            print mo.body
#            mo.ack()

        msgs = subscriber.get_all_msgs(timeout=2)
        for x in range(len(msgs)):
            msgs[x].ack()
            self.validate_messages(msgs[x])
           # print msgs[x].body



        #Should be zero after pulling all of the messages.
        msg_count,_ = xq.get_stats()
        log.info('Messages in user queue 2: %s ' % msg_count)


        #Trying to continue to receive messages in the queue
        gevent.sleep(5.0)  # Send some messages - don't care how many


        #Turning off after everything - since it is more representative of an always on stream of data!
        self.process_dispatcher.cancel_process(ctd_sim_pid) # kill the ctd simulator process - that is enough data



        #Should see more messages in the queue
        msg_count,_ = xq.get_stats()
        log.info('Messages in user queue 3: %s ' % msg_count)

        msgs = subscriber.get_all_msgs(timeout=2)
        for x in range(len(msgs)):
            msgs[x].ack()
            self.validate_messages(msgs[x])

        #Should be zero after pulling all of the messages.
        msg_count,_ = xq.get_stats()
        log.info('Messages in user queue 4: %s ' % msg_count)

        subscriber.close()
        self.container.ex_manager.delete_xn(xq)


    @unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),'Not integrated for CEI')
    def test_multiple_visualization_queue(self):

        # set up a workflow with the salinity transform and the doubler. We will direct the original stream and the doubled stream to queues
        # and test to make sure the subscription to the queues is working correctly
        assertions = self.assertTrue

        # Build the workflow definition
        workflow_def_obj = IonObject(RT.WorkflowDefinition, name='Viz_Test_Workflow',description='A workflow to test collection of multiple data products in queues')

        workflow_data_product_name = 'TEST-Workflow_Output_Product' #Set a specific output product name
        #-------------------------------------------------------------------------------------------------------------------------
        #Add a transformation process definition for salinity
        #-------------------------------------------------------------------------------------------------------------------------

        ctd_L2_salinity_dprocdef_id = self.create_salinity_data_process_definition()
        workflow_step_obj = IonObject('DataProcessWorkflowStep', data_process_definition_id=ctd_L2_salinity_dprocdef_id, persist_process_output_data=False)  #Don't persist the intermediate data product
        configuration = {'stream_name' : 'salinity'}
        workflow_step_obj.configuration = configuration
        workflow_def_obj.workflow_steps.append(workflow_step_obj)

        #Create it in the resource registry
        workflow_def_id = self.workflowclient.create_workflow_definition(workflow_def_obj)

        aids = self.rrclient.find_associations(workflow_def_id, PRED.hasDataProcessDefinition)
        assertions(len(aids) == 1 )

        #The list of data product streams to monitor
        data_product_stream_ids = list()

        #Create the input data product
        ctd_stream_id, ctd_parsed_data_product_id = self.create_ctd_input_stream_and_data_product()
        data_product_stream_ids.append(ctd_stream_id)

        #Create and start the workflow
        workflow_id, workflow_product_id = self.workflowclient.create_data_process_workflow(workflow_def_id, ctd_parsed_data_product_id, timeout=30)

        workflow_output_ids,_ = self.rrclient.find_subjects(RT.Workflow, PRED.hasOutputProduct, workflow_product_id, True)
        assertions(len(workflow_output_ids) == 1 )

        #Walk the associations to find the appropriate output data streams to validate the messages
        workflow_dp_ids,_ = self.rrclient.find_objects(workflow_id, PRED.hasDataProduct, RT.DataProduct, True)
        assertions(len(workflow_dp_ids) == 1 )

        for dp_id in workflow_dp_ids:
            stream_ids, _ = self.rrclient.find_objects(dp_id, PRED.hasStream, None, True)
            assertions(len(stream_ids) == 1 )
            data_product_stream_ids.append(stream_ids[0])

        # Now for each of the data_product_stream_ids create a queue and pipe their data to the queue


        user_queue_name1 = USER_VISUALIZATION_QUEUE + '1'
        user_queue_name2 = USER_VISUALIZATION_QUEUE + '2'

        # use idempotency to create queues
        xq1 = self.container.ex_manager.create_xn_queue(user_queue_name1)
        self.addCleanup(xq1.delete)
        xq2 = self.container.ex_manager.create_xn_queue(user_queue_name2)
        self.addCleanup(xq2.delete)
        xq1.purge()
        xq2.purge()

        # the create_subscription call takes a list of stream_ids so create temp ones

        dp_stream_id1 = list()
        dp_stream_id1.append(data_product_stream_ids[0])
        dp_stream_id2 = list()
        dp_stream_id2.append(data_product_stream_ids[1])

        salinity_subscription_id1 = self.pubsubclient.create_subscription( stream_ids=dp_stream_id1,
            exchange_name = user_queue_name1, name = "user visualization queue1")

        salinity_subscription_id2 = self.pubsubclient.create_subscription( stream_ids=dp_stream_id2,
            exchange_name = user_queue_name2, name = "user visualization queue2")

        # Create subscribers for the output of the queue
        subscriber1 = Subscriber(from_name=xq1)
        subscriber1.initialize()
        subscriber2 = Subscriber(from_name=xq2)
        subscriber2.initialize()

        # after the queue has been created it is safe to activate the subscription
        self.pubsubclient.activate_subscription(subscription_id=salinity_subscription_id1)
        self.pubsubclient.activate_subscription(subscription_id=salinity_subscription_id2)

        # Start input stream and wait for some time
        ctd_sim_pid = self.start_simple_input_stream_process(ctd_stream_id)
        gevent.sleep(5.0)  # Send some messages - don't care how many

        msg_count,_ = xq1.get_stats()
        log.info('Messages in user queue 1: %s ' % msg_count)
        msg_count,_ = xq2.get_stats()
        log.info('Messages in user queue 2: %s ' % msg_count)

        msgs1 = subscriber1.get_all_msgs(timeout=2)
        msgs2 = subscriber2.get_all_msgs(timeout=2)

        for x in range(min(len(msgs1), len(msgs2))):
            msgs1[x].ack()
            msgs2[x].ack()
            self.validate_multiple_vis_queue_messages(msgs1[x].body, msgs2[x].body)

        # kill the ctd simulator process - that is enough data
        self.process_dispatcher.cancel_process(ctd_sim_pid)

        # close the subscription and queues
        subscriber1.close()
        subscriber2.close()

        return

    @patch.dict(CFG, {'user_queue_monitor_timeout': 5})
    @attr('SMOKE')
    def test_realtime_visualization(self):

#        #Start up multiple vis service workers if not a CEI launch
#        if not os.getenv('CEI_LAUNCH_TEST', False):
#            vpid1 = self.container.spawn_process('visualization_service1','ion.services.ans.visualization_service','VisualizationService', CFG )
#            self.addCleanup(self.container.terminate_process, vpid1)
#            vpid2 = self.container.spawn_process('visualization_service2','ion.services.ans.visualization_service','VisualizationService', CFG )
#            self.addCleanup(self.container.terminate_process, vpid2)

        # Create the Highcharts workflow definition since there is no preload for the test
        workflow_def_id = self.create_highcharts_workflow_def()

        #Create the input data product
        ctd_stream_id, ctd_parsed_data_product_id = self.create_ctd_input_stream_and_data_product()
        ctd_sim_pid = self.start_sinusoidal_input_stream_process(ctd_stream_id)

        vis_params ={}
        vis_token_resp = self.vis_client.initiate_realtime_visualization_data(data_product_id=ctd_parsed_data_product_id, visualization_parameters=simplejson.dumps(vis_params))
        vis_token = ast.literal_eval(vis_token_resp)["rt_query_token"]

        result = gevent.event.AsyncResult()

        def get_vis_messages(get_data_count=7):  #SHould be an odd number for round robbin processing by service workers


            get_cnt = 0
            while get_cnt < get_data_count:

                vis_data = self.vis_client.get_realtime_visualization_data(vis_token)
                if (vis_data):
                    self.validate_highcharts_transform_results(vis_data)

                get_cnt += 1
                gevent.sleep(5) # simulates the polling from UI

            result.set(get_cnt)

        gevent.spawn(get_vis_messages)

        result.get(timeout=90)

        #Trying to continue to receive messages in the queue
        gevent.sleep(2.0)  # Send some messages - don't care how many


        # Cleanup
        self.vis_client.terminate_realtime_visualization_data(vis_token)


        #Turning off after everything - since it is more representative of an always on stream of data!
        self.process_dispatcher.cancel_process(ctd_sim_pid) # kill the ctd simulator process - that is enough data

    @patch.dict(CFG, {'user_queue_monitor_timeout': 5})
    @patch.dict(CFG, {'user_queue_monitor_size': 25})
    @attr('CLEANUP')
    @unittest.skipIf(os.getenv('PYCC_MODE', False),'Not integrated for CEI')
    def test_realtime_visualization_cleanup(self):

#        #Start up multiple vis service workers if not a CEI launch
#        if not os.getenv('CEI_LAUNCH_TEST', False):
#            vpid1 = self.container.spawn_process('visualization_service1','ion.services.ans.visualization_service','VisualizationService', CFG )
#            self.addCleanup(self.container.terminate_process, vpid1)
#            vpid2 = self.container.spawn_process('visualization_service2','ion.services.ans.visualization_service','VisualizationService', CFG )
#            self.addCleanup(self.container.terminate_process, vpid2)

        #get the list of queues and message counts on the broker for the user vis queues
        try:
            queues = self.container.ex_manager.list_queues(name=USER_VISUALIZATION_QUEUE, return_columns=['name', 'messages'])
            q_names = [ q['name'] for q in queues if q['name']] #Get a list of only the queue names
            original_queue_count = len(q_names)
        except Exception, e:
            log.warn('Unable to get queue information from broker management plugin: ' + e.message)
            pass

        # Create the highcharts workflow definition since there is no preload for the test
        workflow_def_id = self.create_highcharts_workflow_def()

        #Create the input data product
        ctd_stream_id, ctd_parsed_data_product_id = self.create_ctd_input_stream_and_data_product()
        ctd_sim_pid = self.start_sinusoidal_input_stream_process(ctd_stream_id)


        #Start up a number of requests - and queues - to start accumulating messages. THe test will not clean them up
        #but instead check to see if the monitoring thread will.
        vis_token_resp = self.vis_client.initiate_realtime_visualization_data(data_product_id=ctd_parsed_data_product_id)
        bad_vis_token1 = ast.literal_eval(vis_token_resp)["rt_query_token"]

        vis_token_resp = self.vis_client.initiate_realtime_visualization_data(data_product_id=ctd_parsed_data_product_id)
        bad_vis_token2 = ast.literal_eval(vis_token_resp)["rt_query_token"]

        vis_token_resp = self.vis_client.initiate_realtime_visualization_data(data_product_id=ctd_parsed_data_product_id)
        bad_vis_token3 = ast.literal_eval(vis_token_resp)["rt_query_token"]

        vis_token_resp = self.vis_client.initiate_realtime_visualization_data(data_product_id=ctd_parsed_data_product_id)
        vis_token = ast.literal_eval(vis_token_resp)["rt_query_token"]

        #Get the default exchange space
        exchange = self.container.ex_manager.default_xs.exchange


        #get the list of queues and message counts on the broker for the user vis queues
        try:
            queues = self.container.ex_manager.list_queues(name=USER_VISUALIZATION_QUEUE, return_columns=['name', 'messages'])
            q_names = [ q['name'] for q in queues if q['name']] #Get a list of only the queue names

            self.assertIn(exchange + "." + bad_vis_token1, q_names)
            self.assertIn(exchange + "." + bad_vis_token2, q_names)
            self.assertIn(exchange + "." + bad_vis_token3, q_names)
            self.assertIn(exchange + "." + vis_token, q_names)

        except Exception, e:
            log.warn('Unable to get queue information from broker management plugin: ' + e.message)
            pass
class TestVisualizationServiceIntegration(VisualizationIntegrationTestHelper):

    def setUp(self):
        # Start container

        logging.disable(logging.ERROR)
        self._start_container()
        self.container.start_rel_from_url('res/deploy/r2deploy.yml')
        logging.disable(logging.NOTSET)

        #Instantiate a process to represent the test
        process=VisualizationServiceTestProcess()

        # Now create client to DataProductManagementService
        self.rrclient = ResourceRegistryServiceProcessClient(node=self.container.node, process=process)
        self.damsclient = DataAcquisitionManagementServiceProcessClient(node=self.container.node, process=process)
        self.pubsubclient =  PubsubManagementServiceProcessClient(node=self.container.node, process=process)
        self.ingestclient = IngestionManagementServiceProcessClient(node=self.container.node, process=process)
        self.imsclient = InstrumentManagementServiceProcessClient(node=self.container.node, process=process)
        self.dataproductclient = DataProductManagementServiceProcessClient(node=self.container.node, process=process)
        self.dataprocessclient = DataProcessManagementServiceProcessClient(node=self.container.node, process=process)
        self.datasetclient =  DatasetManagementServiceProcessClient(node=self.container.node, process=process)
        self.workflowclient = WorkflowManagementServiceProcessClient(node=self.container.node, process=process)
        self.process_dispatcher = ProcessDispatcherServiceProcessClient(node=self.container.node, process=process)
        self.data_retriever = DataRetrieverServiceProcessClient(node=self.container.node, process=process)
        self.vis_client = VisualizationServiceProcessClient(node=self.container.node, process=process)

        self.ctd_stream_def = SBE37_CDM_stream_definition()

    def validate_messages(self, msgs):
        msg = msgs


        rdt = RecordDictionaryTool.load_from_granule(msg.body)

        vardict = {}
        vardict['temp'] = get_safe(rdt, 'temp')
        vardict['time'] = get_safe(rdt, 'time')
        print vardict['time']
        print vardict['temp']




    @attr('LOCOINT')
    #@patch.dict('pyon.ion.exchange.CFG', {'container':{'exchange':{'auto_register': False}}})
    @unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),'Not integrated for CEI')
    def test_visualization_queue(self):

        #The list of data product streams to monitor
        data_product_stream_ids = list()

        #Create the input data product
        ctd_stream_id, ctd_parsed_data_product_id = self.create_ctd_input_stream_and_data_product()
        data_product_stream_ids.append(ctd_stream_id)

        user_queue_name = 'user_queue'

        xq = self.container.ex_manager.create_xn_queue(user_queue_name)

        salinity_subscription_id = self.pubsubclient.create_subscription(
            stream_ids=data_product_stream_ids,
            exchange_name = user_queue_name,
            name = "user visualization queue"
        )

        subscriber = Subscriber(from_name=xq)
        subscriber.initialize()

        # after the queue has been created it is safe to activate the subscription
        self.pubsubclient.activate_subscription(subscription_id=salinity_subscription_id)

        #Start the output stream listener to monitor and collect messages
        #results = self.start_output_stream_and_listen(None, data_product_stream_ids)

        #Not sure why this is needed - but it is
        #subscriber._chan.stop_consume()

        ctd_sim_pid = self.start_simple_input_stream_process(ctd_stream_id)
        gevent.sleep(10.0)  # Send some messages - don't care how many

        msg_count,_ = xq.get_stats()
        log.info('Messages in user queue 1: %s ' % msg_count)

        #Validate the data from each of the messages along the way
        #self.validate_messages(results)

#        for x in range(msg_count):
#            mo = subscriber.get_one_msg(timeout=1)
#            print mo.body
#            mo.ack()

        msgs = subscriber.get_all_msgs(timeout=2)
        for x in range(len(msgs)):
            msgs[x].ack()
            self.validate_messages(msgs[x])
           # print msgs[x].body



        #Should be zero after pulling all of the messages.
        msg_count,_ = xq.get_stats()
        log.info('Messages in user queue 2: %s ' % msg_count)


        #Trying to continue to receive messages in the queue
        gevent.sleep(5.0)  # Send some messages - don't care how many


        #Turning off after everything - since it is more representative of an always on stream of data!
        self.process_dispatcher.cancel_process(ctd_sim_pid) # kill the ctd simulator process - that is enough data



        #Should see more messages in the queue
        msg_count,_ = xq.get_stats()
        log.info('Messages in user queue 3: %s ' % msg_count)

        msgs = subscriber.get_all_msgs(timeout=2)
        for x in range(len(msgs)):
            msgs[x].ack()
            self.validate_messages(msgs[x])

        #Should be zero after pulling all of the messages.
        msg_count,_ = xq.get_stats()
        log.info('Messages in user queue 4: %s ' % msg_count)

        subscriber.close()
        self.container.ex_manager.delete_xn(xq)


    @unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),'Not integrated for CEI')
    def test_multiple_visualization_queue(self):

        # set up a workflow with the salinity transform and the doubler. We will direct the original stream and the doubled stream to queues
        # and test to make sure the subscription to the queues is working correctly
        assertions = self.assertTrue

        # Build the workflow definition
        workflow_def_obj = IonObject(RT.WorkflowDefinition, name='Viz_Test_Workflow',description='A workflow to test collection of multiple data products in queues')

        workflow_data_product_name = 'TEST-Workflow_Output_Product' #Set a specific output product name
        #-------------------------------------------------------------------------------------------------------------------------
        #Add a transformation process definition for salinity
        #-------------------------------------------------------------------------------------------------------------------------

        ctd_L2_salinity_dprocdef_id = self.create_salinity_data_process_definition()
        workflow_step_obj = IonObject('DataProcessWorkflowStep', data_process_definition_id=ctd_L2_salinity_dprocdef_id, persist_process_output_data=False)  #Don't persist the intermediate data product
        configuration = {'stream_name' : 'salinity'}
        workflow_step_obj.configuration = configuration
        workflow_def_obj.workflow_steps.append(workflow_step_obj)

        #Create it in the resource registry
        workflow_def_id = self.workflowclient.create_workflow_definition(workflow_def_obj)

        aids = self.rrclient.find_associations(workflow_def_id, PRED.hasDataProcessDefinition)
        assertions(len(aids) == 1 )

        #The list of data product streams to monitor
        data_product_stream_ids = list()

        #Create the input data product
        ctd_stream_id, ctd_parsed_data_product_id = self.create_ctd_input_stream_and_data_product()
        data_product_stream_ids.append(ctd_stream_id)

        #Create and start the workflow
        workflow_id, workflow_product_id = self.workflowclient.create_data_process_workflow(workflow_def_id, ctd_parsed_data_product_id, timeout=30)

        workflow_output_ids,_ = self.rrclient.find_subjects(RT.Workflow, PRED.hasOutputProduct, workflow_product_id, True)
        assertions(len(workflow_output_ids) == 1 )

        #Walk the associations to find the appropriate output data streams to validate the messages
        workflow_dp_ids,_ = self.rrclient.find_objects(workflow_id, PRED.hasDataProduct, RT.DataProduct, True)
        assertions(len(workflow_dp_ids) == 1 )

        for dp_id in workflow_dp_ids:
            stream_ids, _ = self.rrclient.find_objects(dp_id, PRED.hasStream, None, True)
            assertions(len(stream_ids) == 1 )
            data_product_stream_ids.append(stream_ids[0])

        # Now for each of the data_product_stream_ids create a queue and pipe their data to the queue


        user_queue_name1 = 'user_queue_1'
        user_queue_name2 = 'user_queue_2'

        # use idempotency to create queues
        xq1 = self.container.ex_manager.create_xn_queue(user_queue_name1)
        self.addCleanup(xq1.delete)
        xq2 = self.container.ex_manager.create_xn_queue(user_queue_name2)
        self.addCleanup(xq2.delete)
        xq1.purge()
        xq2.purge()

        # the create_subscription call takes a list of stream_ids so create temp ones

        dp_stream_id1 = list()
        dp_stream_id1.append(data_product_stream_ids[0])
        dp_stream_id2 = list()
        dp_stream_id2.append(data_product_stream_ids[1])

        salinity_subscription_id1 = self.pubsubclient.create_subscription( stream_ids=dp_stream_id1,
            exchange_name = user_queue_name1, name = "user visualization queue1")

        salinity_subscription_id2 = self.pubsubclient.create_subscription( stream_ids=dp_stream_id2,
            exchange_name = user_queue_name2, name = "user visualization queue2")

        # Create subscribers for the output of the queue
        subscriber1 = Subscriber(from_name=xq1)
        subscriber1.initialize()
        subscriber2 = Subscriber(from_name=xq2)
        subscriber2.initialize()

        # after the queue has been created it is safe to activate the subscription
        self.pubsubclient.activate_subscription(subscription_id=salinity_subscription_id1)
        self.pubsubclient.activate_subscription(subscription_id=salinity_subscription_id2)

        # Start input stream and wait for some time
        ctd_sim_pid = self.start_simple_input_stream_process(ctd_stream_id)
        gevent.sleep(5.0)  # Send some messages - don't care how many

        msg_count,_ = xq1.get_stats()
        log.info('Messages in user queue 1: %s ' % msg_count)
        msg_count,_ = xq2.get_stats()
        log.info('Messages in user queue 2: %s ' % msg_count)

        msgs1 = subscriber1.get_all_msgs(timeout=2)
        msgs2 = subscriber2.get_all_msgs(timeout=2)

        for x in range(min(len(msgs1), len(msgs2))):
            msgs1[x].ack()
            msgs2[x].ack()
            self.validate_multiple_vis_queue_messages(msgs1[x].body, msgs2[x].body)

        # kill the ctd simulator process - that is enough data
        self.process_dispatcher.cancel_process(ctd_sim_pid)

        # close the subscription and queues
        subscriber1.close()
        subscriber2.close()

        return


    #@unittest.skip('Skipped because of broken record dictionary work-around')
    def test_realtime_visualization(self):

        #Create the input data product
        ctd_stream_id, ctd_parsed_data_product_id = self.create_ctd_input_stream_and_data_product()
        ctd_sim_pid = self.start_sinusoidal_input_stream_process(ctd_stream_id)


        #TODO - Need to add workflow creation for google data table
        vis_params ={}
        vis_token = self.vis_client.initiate_realtime_visualization(data_product_id=ctd_parsed_data_product_id, visualization_parameters=vis_params)

        #Trying to continue to receive messages in the queue
        gevent.sleep(10.0)  # Send some messages - don't care how many

        #TODO - find out what the actual return data type should be
        vis_data = self.vis_client.get_realtime_visualization_data(vis_token)
        if (vis_data):
            self.validate_google_dt_transform_results(vis_data)

        #Trying to continue to receive messages in the queue
        gevent.sleep(5.0)  # Send some messages - don't care how many


        #Turning off after everything - since it is more representative of an always on stream of data!
        #todo remove the try except
        try:
            self.process_dispatcher.cancel_process(ctd_sim_pid) # kill the ctd simulator process - that is enough data
        except:
            log.warning("cancelling process did not work")

        vis_data = self.vis_client.get_realtime_visualization_data(vis_token)

        if vis_data:
            self.validate_google_dt_transform_results(vis_data)

        # Cleanup
        self.vis_client.terminate_realtime_visualization_data(vis_token)


    #@unittest.skip('Skipped because of broken record dictionary work-around')
    def test_google_dt_overview_visualization(self):

        #Create the input data product
        ctd_stream_id, ctd_parsed_data_product_id = self.create_ctd_input_stream_and_data_product()

        # start producing data
        ctd_sim_pid = self.start_sinusoidal_input_stream_process(ctd_stream_id)

        # Generate some data for a few seconds
        gevent.sleep(5.0)

        #Turning off after everything - since it is more representative of an always on stream of data!
        self.process_dispatcher.cancel_process(ctd_sim_pid) # kill the ctd simulator process - that is enough data

        # Use the data product to test the data retrieval and google dt generation capability of the vis service
        vis_data = self.vis_client.get_visualization_data(ctd_parsed_data_product_id)

        # validate the returned data
        self.validate_vis_service_google_dt_results(vis_data)


    #@unittest.skip('Skipped because of broken record dictionary work-around')
    def test_mpl_graphs_overview_visualization(self):

        #Create the input data product
        ctd_stream_id, ctd_parsed_data_product_id = self.create_ctd_input_stream_and_data_product()
        ctd_sim_pid = self.start_sinusoidal_input_stream_process(ctd_stream_id)

        # Generate some data for a few seconds
        gevent.sleep(5.0)

        #Turning off after everything - since it is more representative of an always on stream of data!
        self.process_dispatcher.cancel_process(ctd_sim_pid) # kill the ctd simulator process - that is enough data

        # Use the data product to test the data retrieval and google dt generation capability of the vis service
        vis_data = self.vis_client.get_visualization_image(ctd_parsed_data_product_id)

        # validate the returned data
        self.validate_vis_service_mpl_graphs_results(vis_data)

        return
class TestVisualizationServiceIntegration(VisualizationIntegrationTestHelper):
    def setUp(self):
        # Start container

        logging.disable(logging.ERROR)
        self._start_container()
        self.container.start_rel_from_url('res/deploy/r2deploy.yml')
        # simulate preloading
        #preload_ion_params(self.container)
        logging.disable(logging.NOTSET)

        #Instantiate a process to represent the test
        process = VisualizationServiceTestProcess()

        # Now create client to DataProductManagementService
        self.rrclient = ResourceRegistryServiceProcessClient(
            node=self.container.node, process=process)
        self.damsclient = DataAcquisitionManagementServiceProcessClient(
            node=self.container.node, process=process)
        self.pubsubclient = PubsubManagementServiceProcessClient(
            node=self.container.node, process=process)
        self.ingestclient = IngestionManagementServiceProcessClient(
            node=self.container.node, process=process)
        self.imsclient = InstrumentManagementServiceProcessClient(
            node=self.container.node, process=process)
        self.dataproductclient = DataProductManagementServiceProcessClient(
            node=self.container.node, process=process)
        self.dataprocessclient = DataProcessManagementServiceProcessClient(
            node=self.container.node, process=process)
        self.datasetclient = DatasetManagementServiceProcessClient(
            node=self.container.node, process=process)
        self.process_dispatcher = ProcessDispatcherServiceProcessClient(
            node=self.container.node, process=process)
        self.data_retriever = DataRetrieverServiceProcessClient(
            node=self.container.node, process=process)
        self.vis_client = VisualizationServiceProcessClient(
            node=self.container.node, process=process)

        self.ctd_stream_def = SBE37_CDM_stream_definition()

    def validate_messages(self, msgs):
        msg = msgs

        rdt = RecordDictionaryTool.load_from_granule(msg.body)

        vardict = {}
        vardict['temp'] = get_safe(rdt, 'temp')
        vardict['time'] = get_safe(rdt, 'time')
        print vardict['time']
        print vardict['temp']

    @attr('LOCOINT')
    #@patch.dict('pyon.ion.exchange.CFG', {'container':{'exchange':{'auto_register': False}}})
    @unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),
                     'Not integrated for CEI')
    def test_visualization_queue(self):

        #The list of data product streams to monitor
        data_product_stream_ids = list()

        #Create the input data product
        ctd_stream_id, ctd_parsed_data_product_id = self.create_ctd_input_stream_and_data_product(
        )
        data_product_stream_ids.append(ctd_stream_id)

        user_queue_name = USER_VISUALIZATION_QUEUE

        xq = self.container.ex_manager.create_xn_queue(user_queue_name)

        salinity_subscription_id = self.pubsubclient.create_subscription(
            stream_ids=data_product_stream_ids,
            exchange_name=user_queue_name,
            name="user visualization queue")

        subscriber = Subscriber(from_name=xq)
        subscriber.initialize()

        # after the queue has been created it is safe to activate the subscription
        self.pubsubclient.activate_subscription(
            subscription_id=salinity_subscription_id)

        #Start the output stream listener to monitor and collect messages
        #results = self.start_output_stream_and_listen(None, data_product_stream_ids)

        #Not sure why this is needed - but it is
        #subscriber._chan.stop_consume()

        ctd_sim_pid = self.start_simple_input_stream_process(ctd_stream_id)
        gevent.sleep(10.0)  # Send some messages - don't care how many

        msg_count, _ = xq.get_stats()
        log.info('Messages in user queue 1: %s ' % msg_count)

        #Validate the data from each of the messages along the way
        #self.validate_messages(results)

        #        for x in range(msg_count):
        #            mo = subscriber.get_one_msg(timeout=1)
        #            print mo.body
        #            mo.ack()

        msgs = subscriber.get_all_msgs(timeout=2)
        for x in range(len(msgs)):
            msgs[x].ack()
            self.validate_messages(msgs[x])
        # print msgs[x].body

        #Should be zero after pulling all of the messages.
        msg_count, _ = xq.get_stats()
        log.info('Messages in user queue 2: %s ' % msg_count)

        #Trying to continue to receive messages in the queue
        gevent.sleep(5.0)  # Send some messages - don't care how many

        #Turning off after everything - since it is more representative of an always on stream of data!
        self.process_dispatcher.cancel_process(
            ctd_sim_pid
        )  # kill the ctd simulator process - that is enough data

        #Should see more messages in the queue
        msg_count, _ = xq.get_stats()
        log.info('Messages in user queue 3: %s ' % msg_count)

        msgs = subscriber.get_all_msgs(timeout=2)
        for x in range(len(msgs)):
            msgs[x].ack()
            self.validate_messages(msgs[x])

        #Should be zero after pulling all of the messages.
        msg_count, _ = xq.get_stats()
        log.info('Messages in user queue 4: %s ' % msg_count)

        subscriber.close()
        self.container.ex_manager.delete_xn(xq)

    @patch.dict(CFG, {'user_queue_monitor_timeout': 5})
    def test_realtime_visualization(self):

        #        #Start up multiple vis service workers if not a CEI launch
        #        if not os.getenv('CEI_LAUNCH_TEST', False):
        #            vpid1 = self.container.spawn_process('visualization_service1','ion.services.ans.visualization_service','VisualizationService', CFG )
        #            self.addCleanup(self.container.terminate_process, vpid1)
        #            vpid2 = self.container.spawn_process('visualization_service2','ion.services.ans.visualization_service','VisualizationService', CFG )
        #            self.addCleanup(self.container.terminate_process, vpid2)

        ## Create the Highcharts workflow definition since there is no preload for the test
        #workflow_def_id = self.create_highcharts_workflow_def()

        #Create the input data product
        ctd_stream_id, ctd_parsed_data_product_id = self.create_ctd_input_stream_and_data_product(
        )
        ctd_sim_pid = self.start_sinusoidal_input_stream_process(ctd_stream_id)

        vis_params = {}
        vis_token_resp = self.vis_client.initiate_realtime_visualization_data(
            data_product_id=ctd_parsed_data_product_id,
            visualization_parameters=simplejson.dumps(vis_params))
        vis_token = ast.literal_eval(vis_token_resp)["rt_query_token"]

        result = gevent.event.AsyncResult()

        def get_vis_messages(
            get_data_count=7
        ):  #SHould be an odd number for round robbin processing by service workers

            get_cnt = 0
            while get_cnt < get_data_count:

                vis_data = self.vis_client.get_realtime_visualization_data(
                    vis_token)
                if (vis_data):
                    self.validate_highcharts_transform_results(vis_data)

                get_cnt += 1
                gevent.sleep(5)  # simulates the polling from UI

            result.set(get_cnt)

        gevent.spawn(get_vis_messages)

        result.get(timeout=90)

        #Trying to continue to receive messages in the queue
        gevent.sleep(2.0)  # Send some messages - don't care how many

        # Cleanup
        self.vis_client.terminate_realtime_visualization_data(vis_token)

        #Turning off after everything - since it is more representative of an always on stream of data!
        self.process_dispatcher.cancel_process(
            ctd_sim_pid
        )  # kill the ctd simulator process - that is enough data

    @patch.dict(CFG, {'user_queue_monitor_timeout': 5})
    @patch.dict(CFG, {'user_queue_monitor_size': 25})
    @attr('CLEANUP')
    @unittest.skipIf(os.getenv('PYCC_MODE', False), 'Not integrated for CEI')
    def test_realtime_visualization_cleanup(self):

        #        #Start up multiple vis service workers if not a CEI launch
        #        if not os.getenv('CEI_LAUNCH_TEST', False):
        #            vpid1 = self.container.spawn_process('visualization_service1','ion.services.ans.visualization_service','VisualizationService', CFG )
        #            self.addCleanup(self.container.terminate_process, vpid1)
        #            vpid2 = self.container.spawn_process('visualization_service2','ion.services.ans.visualization_service','VisualizationService', CFG )
        #            self.addCleanup(self.container.terminate_process, vpid2)

        #get the list of queues and message counts on the broker for the user vis queues
        try:
            queues = self.container.ex_manager.list_queues(
                name=USER_VISUALIZATION_QUEUE,
                return_columns=['name', 'messages'])
            q_names = [q['name'] for q in queues
                       if q['name']]  #Get a list of only the queue names
            original_queue_count = len(q_names)
        except Exception, e:
            log.warn(
                'Unable to get queue information from broker management plugin: '
                + e.message)
            pass

        ## Create the highcharts workflow definition since there is no preload for the test
        #workflow_def_id = self.create_highcharts_workflow_def()

        #Create the input data product
        ctd_stream_id, ctd_parsed_data_product_id = self.create_ctd_input_stream_and_data_product(
        )
        ctd_sim_pid = self.start_sinusoidal_input_stream_process(ctd_stream_id)

        #Start up a number of requests - and queues - to start accumulating messages. THe test will not clean them up
        #but instead check to see if the monitoring thread will.
        vis_token_resp = self.vis_client.initiate_realtime_visualization_data(
            data_product_id=ctd_parsed_data_product_id)
        bad_vis_token1 = ast.literal_eval(vis_token_resp)["rt_query_token"]

        vis_token_resp = self.vis_client.initiate_realtime_visualization_data(
            data_product_id=ctd_parsed_data_product_id)
        bad_vis_token2 = ast.literal_eval(vis_token_resp)["rt_query_token"]

        vis_token_resp = self.vis_client.initiate_realtime_visualization_data(
            data_product_id=ctd_parsed_data_product_id)
        bad_vis_token3 = ast.literal_eval(vis_token_resp)["rt_query_token"]

        vis_token_resp = self.vis_client.initiate_realtime_visualization_data(
            data_product_id=ctd_parsed_data_product_id)
        vis_token = ast.literal_eval(vis_token_resp)["rt_query_token"]

        #Get the default exchange space
        exchange = self.container.ex_manager.default_xs.exchange

        #get the list of queues and message counts on the broker for the user vis queues
        try:
            queues = self.container.ex_manager.list_queues(
                name=USER_VISUALIZATION_QUEUE,
                return_columns=['name', 'messages'])
            q_names = [q['name'] for q in queues
                       if q['name']]  #Get a list of only the queue names

            self.assertIn(exchange + "." + bad_vis_token1, q_names)
            self.assertIn(exchange + "." + bad_vis_token2, q_names)
            self.assertIn(exchange + "." + bad_vis_token3, q_names)
            self.assertIn(exchange + "." + vis_token, q_names)

        except Exception, e:
            log.warn(
                'Unable to get queue information from broker management plugin: '
                + e.message)
            pass
class TestVisualizationServiceIntegration(VisualizationIntegrationTestHelper):
    def setUp(self):
        # Start container

        logging.disable(logging.ERROR)
        self._start_container()
        self.container.start_rel_from_url('res/deploy/r2deploy.yml')
        logging.disable(logging.NOTSET)

        #Instantiate a process to represent the test
        process = VisualizationServiceTestProcess()

        # Now create client to DataProductManagementService
        self.rrclient = ResourceRegistryServiceProcessClient(
            node=self.container.node, process=process)
        self.damsclient = DataAcquisitionManagementServiceProcessClient(
            node=self.container.node, process=process)
        self.pubsubclient = PubsubManagementServiceProcessClient(
            node=self.container.node, process=process)
        self.ingestclient = IngestionManagementServiceProcessClient(
            node=self.container.node, process=process)
        self.imsclient = InstrumentManagementServiceProcessClient(
            node=self.container.node, process=process)
        self.dataproductclient = DataProductManagementServiceProcessClient(
            node=self.container.node, process=process)
        self.dataprocessclient = DataProcessManagementServiceProcessClient(
            node=self.container.node, process=process)
        self.datasetclient = DatasetManagementServiceProcessClient(
            node=self.container.node, process=process)
        self.workflowclient = WorkflowManagementServiceProcessClient(
            node=self.container.node, process=process)
        self.process_dispatcher = ProcessDispatcherServiceProcessClient(
            node=self.container.node, process=process)
        self.data_retriever = DataRetrieverServiceProcessClient(
            node=self.container.node, process=process)
        self.vis_client = VisualizationServiceProcessClient(
            node=self.container.node, process=process)

        self.ctd_stream_def = SBE37_CDM_stream_definition()

    def validate_messages(self, msgs):
        msg = msgs

        rdt = RecordDictionaryTool.load_from_granule(msg.body)

        vardict = {}
        vardict['temp'] = get_safe(rdt, 'temp')
        vardict['time'] = get_safe(rdt, 'time')
        print vardict['time']
        print vardict['temp']

    @attr('LOCOINT')
    #@patch.dict('pyon.ion.exchange.CFG', {'container':{'exchange':{'auto_register': False}}})
    @unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),
                     'Not integrated for CEI')
    def test_visualization_queue(self):

        #The list of data product streams to monitor
        data_product_stream_ids = list()

        #Create the input data product
        ctd_stream_id, ctd_parsed_data_product_id = self.create_ctd_input_stream_and_data_product(
        )
        data_product_stream_ids.append(ctd_stream_id)

        user_queue_name = 'user_queue'

        xq = self.container.ex_manager.create_xn_queue(user_queue_name)

        salinity_subscription_id = self.pubsubclient.create_subscription(
            stream_ids=data_product_stream_ids,
            exchange_name=user_queue_name,
            name="user visualization queue")

        subscriber = Subscriber(from_name=xq)
        subscriber.initialize()

        # after the queue has been created it is safe to activate the subscription
        self.pubsubclient.activate_subscription(
            subscription_id=salinity_subscription_id)

        #Start the output stream listener to monitor and collect messages
        #results = self.start_output_stream_and_listen(None, data_product_stream_ids)

        #Not sure why this is needed - but it is
        #subscriber._chan.stop_consume()

        ctd_sim_pid = self.start_simple_input_stream_process(ctd_stream_id)
        gevent.sleep(10.0)  # Send some messages - don't care how many

        msg_count, _ = xq.get_stats()
        log.info('Messages in user queue 1: %s ' % msg_count)

        #Validate the data from each of the messages along the way
        #self.validate_messages(results)

        #        for x in range(msg_count):
        #            mo = subscriber.get_one_msg(timeout=1)
        #            print mo.body
        #            mo.ack()

        msgs = subscriber.get_all_msgs(timeout=2)
        for x in range(len(msgs)):
            msgs[x].ack()
            self.validate_messages(msgs[x])
        # print msgs[x].body

        #Should be zero after pulling all of the messages.
        msg_count, _ = xq.get_stats()
        log.info('Messages in user queue 2: %s ' % msg_count)

        #Trying to continue to receive messages in the queue
        gevent.sleep(5.0)  # Send some messages - don't care how many

        #Turning off after everything - since it is more representative of an always on stream of data!
        self.process_dispatcher.cancel_process(
            ctd_sim_pid
        )  # kill the ctd simulator process - that is enough data

        #Should see more messages in the queue
        msg_count, _ = xq.get_stats()
        log.info('Messages in user queue 3: %s ' % msg_count)

        msgs = subscriber.get_all_msgs(timeout=2)
        for x in range(len(msgs)):
            msgs[x].ack()
            self.validate_messages(msgs[x])

        #Should be zero after pulling all of the messages.
        msg_count, _ = xq.get_stats()
        log.info('Messages in user queue 4: %s ' % msg_count)

        subscriber.close()
        self.container.ex_manager.delete_xn(xq)

    @unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),
                     'Not integrated for CEI')
    def test_multiple_visualization_queue(self):

        # set up a workflow with the salinity transform and the doubler. We will direct the original stream and the doubled stream to queues
        # and test to make sure the subscription to the queues is working correctly
        assertions = self.assertTrue

        # Build the workflow definition
        workflow_def_obj = IonObject(
            RT.WorkflowDefinition,
            name='Viz_Test_Workflow',
            description=
            'A workflow to test collection of multiple data products in queues'
        )

        workflow_data_product_name = 'TEST-Workflow_Output_Product'  #Set a specific output product name
        #-------------------------------------------------------------------------------------------------------------------------
        #Add a transformation process definition for salinity
        #-------------------------------------------------------------------------------------------------------------------------

        ctd_L2_salinity_dprocdef_id = self.create_salinity_data_process_definition(
        )
        workflow_step_obj = IonObject(
            'DataProcessWorkflowStep',
            data_process_definition_id=ctd_L2_salinity_dprocdef_id,
            persist_process_output_data=False
        )  #Don't persist the intermediate data product
        configuration = {'stream_name': 'salinity'}
        workflow_step_obj.configuration = configuration
        workflow_def_obj.workflow_steps.append(workflow_step_obj)

        #Create it in the resource registry
        workflow_def_id = self.workflowclient.create_workflow_definition(
            workflow_def_obj)

        aids = self.rrclient.find_associations(workflow_def_id,
                                               PRED.hasDataProcessDefinition)
        assertions(len(aids) == 1)

        #The list of data product streams to monitor
        data_product_stream_ids = list()

        #Create the input data product
        ctd_stream_id, ctd_parsed_data_product_id = self.create_ctd_input_stream_and_data_product(
        )
        data_product_stream_ids.append(ctd_stream_id)

        #Create and start the workflow
        workflow_id, workflow_product_id = self.workflowclient.create_data_process_workflow(
            workflow_def_id, ctd_parsed_data_product_id, timeout=30)

        workflow_output_ids, _ = self.rrclient.find_subjects(
            RT.Workflow, PRED.hasOutputProduct, workflow_product_id, True)
        assertions(len(workflow_output_ids) == 1)

        #Walk the associations to find the appropriate output data streams to validate the messages
        workflow_dp_ids, _ = self.rrclient.find_objects(
            workflow_id, PRED.hasDataProduct, RT.DataProduct, True)
        assertions(len(workflow_dp_ids) == 1)

        for dp_id in workflow_dp_ids:
            stream_ids, _ = self.rrclient.find_objects(dp_id, PRED.hasStream,
                                                       None, True)
            assertions(len(stream_ids) == 1)
            data_product_stream_ids.append(stream_ids[0])

        # Now for each of the data_product_stream_ids create a queue and pipe their data to the queue

        user_queue_name1 = 'user_queue_1'
        user_queue_name2 = 'user_queue_2'

        # use idempotency to create queues
        xq1 = self.container.ex_manager.create_xn_queue(user_queue_name1)
        self.addCleanup(xq1.delete)
        xq2 = self.container.ex_manager.create_xn_queue(user_queue_name2)
        self.addCleanup(xq2.delete)
        xq1.purge()
        xq2.purge()

        # the create_subscription call takes a list of stream_ids so create temp ones

        dp_stream_id1 = list()
        dp_stream_id1.append(data_product_stream_ids[0])
        dp_stream_id2 = list()
        dp_stream_id2.append(data_product_stream_ids[1])

        salinity_subscription_id1 = self.pubsubclient.create_subscription(
            stream_ids=dp_stream_id1,
            exchange_name=user_queue_name1,
            name="user visualization queue1")

        salinity_subscription_id2 = self.pubsubclient.create_subscription(
            stream_ids=dp_stream_id2,
            exchange_name=user_queue_name2,
            name="user visualization queue2")

        # Create subscribers for the output of the queue
        subscriber1 = Subscriber(from_name=xq1)
        subscriber1.initialize()
        subscriber2 = Subscriber(from_name=xq2)
        subscriber2.initialize()

        # after the queue has been created it is safe to activate the subscription
        self.pubsubclient.activate_subscription(
            subscription_id=salinity_subscription_id1)
        self.pubsubclient.activate_subscription(
            subscription_id=salinity_subscription_id2)

        # Start input stream and wait for some time
        ctd_sim_pid = self.start_simple_input_stream_process(ctd_stream_id)
        gevent.sleep(5.0)  # Send some messages - don't care how many

        msg_count, _ = xq1.get_stats()
        log.info('Messages in user queue 1: %s ' % msg_count)
        msg_count, _ = xq2.get_stats()
        log.info('Messages in user queue 2: %s ' % msg_count)

        msgs1 = subscriber1.get_all_msgs(timeout=2)
        msgs2 = subscriber2.get_all_msgs(timeout=2)

        for x in range(min(len(msgs1), len(msgs2))):
            msgs1[x].ack()
            msgs2[x].ack()
            self.validate_multiple_vis_queue_messages(msgs1[x].body,
                                                      msgs2[x].body)

        # kill the ctd simulator process - that is enough data
        self.process_dispatcher.cancel_process(ctd_sim_pid)

        # close the subscription and queues
        subscriber1.close()
        subscriber2.close()

        return

    #@unittest.skip('Skipped because of broken record dictionary work-around')
    def test_realtime_visualization(self):

        #Create the input data product
        ctd_stream_id, ctd_parsed_data_product_id = self.create_ctd_input_stream_and_data_product(
        )
        ctd_sim_pid = self.start_sinusoidal_input_stream_process(ctd_stream_id)

        #TODO - Need to add workflow creation for google data table
        vis_params = {}
        vis_token = self.vis_client.initiate_realtime_visualization(
            data_product_id=ctd_parsed_data_product_id,
            visualization_parameters=vis_params)

        #Trying to continue to receive messages in the queue
        gevent.sleep(10.0)  # Send some messages - don't care how many

        #TODO - find out what the actual return data type should be
        vis_data = self.vis_client.get_realtime_visualization_data(vis_token)
        if (vis_data):
            self.validate_google_dt_transform_results(vis_data)

        #Trying to continue to receive messages in the queue
        gevent.sleep(5.0)  # Send some messages - don't care how many

        #Turning off after everything - since it is more representative of an always on stream of data!
        #todo remove the try except
        try:
            self.process_dispatcher.cancel_process(
                ctd_sim_pid
            )  # kill the ctd simulator process - that is enough data
        except:
            log.warning("cancelling process did not work")

        vis_data = self.vis_client.get_realtime_visualization_data(vis_token)

        if vis_data:
            self.validate_google_dt_transform_results(vis_data)

        # Cleanup
        self.vis_client.terminate_realtime_visualization_data(vis_token)

    #@unittest.skip('Skipped because of broken record dictionary work-around')
    def test_google_dt_overview_visualization(self):

        #Create the input data product
        ctd_stream_id, ctd_parsed_data_product_id = self.create_ctd_input_stream_and_data_product(
        )

        # start producing data
        ctd_sim_pid = self.start_sinusoidal_input_stream_process(ctd_stream_id)

        # Generate some data for a few seconds
        gevent.sleep(5.0)

        #Turning off after everything - since it is more representative of an always on stream of data!
        self.process_dispatcher.cancel_process(
            ctd_sim_pid
        )  # kill the ctd simulator process - that is enough data

        # Use the data product to test the data retrieval and google dt generation capability of the vis service
        vis_data = self.vis_client.get_visualization_data(
            ctd_parsed_data_product_id)

        # validate the returned data
        self.validate_vis_service_google_dt_results(vis_data)

    #@unittest.skip('Skipped because of broken record dictionary work-around')
    def test_mpl_graphs_overview_visualization(self):

        #Create the input data product
        ctd_stream_id, ctd_parsed_data_product_id = self.create_ctd_input_stream_and_data_product(
        )
        ctd_sim_pid = self.start_sinusoidal_input_stream_process(ctd_stream_id)

        # Generate some data for a few seconds
        gevent.sleep(5.0)

        #Turning off after everything - since it is more representative of an always on stream of data!
        self.process_dispatcher.cancel_process(
            ctd_sim_pid
        )  # kill the ctd simulator process - that is enough data

        # Use the data product to test the data retrieval and google dt generation capability of the vis service
        vis_data = self.vis_client.get_visualization_image(
            ctd_parsed_data_product_id)

        # validate the returned data
        self.validate_vis_service_mpl_graphs_results(vis_data)

        return