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 on_start(self):
SimpleProcess.on_start(self)
self.data_retriever = DataRetrieverServiceProcessClient(process=self)
self.interval_key = self.CFG.get_safe('process.interval_key', None)
self.qc_params = self.CFG.get_safe('process.qc_params', [])
validate_is_not_none(
self.interval_key,
'An interval key is necessary to paunch this process')
self.event_subscriber = EventSubscriber(event_type=OT.TimerEvent,
origin=self.interval_key,
callback=self._event_callback,
auto_delete=True)
self.add_endpoint(self.event_subscriber)
self.resource_registry = self.container.resource_registry
self.run_interval = self.CFG.get_safe(
'service.qc_processing.run_interval', 24)
def on_start(self):
#print ">>>>>>>>>>>>>>>>>>>>>> MPL CFG = ", self.CFG
self.pubsub_management = PubsubManagementServiceProcessClient(
process=self)
self.ssclient = SchedulerServiceProcessClient(process=self)
self.rrclient = ResourceRegistryServiceProcessClient(process=self)
self.data_retriever_client = DataRetrieverServiceProcessClient(
process=self)
self.dsm_client = DatasetManagementServiceProcessClient(process=self)
self.pubsub_client = PubsubManagementServiceProcessClient(process=self)
self.stream_info = self.CFG.get_safe('process.publish_streams', {})
self.stream_names = self.stream_info.keys()
self.stream_ids = self.stream_info.values()
if not self.stream_names:
raise BadRequest('MPL Transform has no output streams.')
graph_time_periods = self.CFG.get_safe('graph_time_periods')
# If this is meant to be an event driven process, schedule an event to be generated every few minutes/hours
self.event_timer_interval = self.CFG.get_safe('graph_gen_interval')
if self.event_timer_interval:
event_origin = "Interval_Timer_Matplotlib"
sub = EventSubscriber(event_type="ResourceEvent",
callback=self.interval_timer_callback,
origin=event_origin)
sub.start()
self.interval_timer_id = self.ssclient.create_interval_timer(
start_time="now",
interval=self._str_to_secs(self.event_timer_interval),
event_origin=event_origin,
event_subtype="")
super(VizTransformMatplotlibGraphs, self).on_start()
