def on_initial_bootstrap(self, process, config, **kwargs):
if os.environ.get('PYCC_MODE'):
# This environment is an ion integration test
log.info('PYCC_MODE: skipping qc_post_processor launch')
return
if self.process_exists(process, 'qc_post_processor'):
# Short circuit the bootstrap to make sure not more than one is ever started
return
self.scheduler_service = SchedulerServiceProcessClient(process=process)
self.process_dispatcher = ProcessDispatcherServiceProcessClient(process=process)
self.run_interval = CFG.get_safe('service.qc_processing.run_interval', 24)
interval_key = uuid4().hex # Unique identifier for this process
config = DotDict()
config.process.interval_key = interval_key
process_definition = ProcessDefinition(name='qc_post_processor',
executable={'module':'ion.processes.data.transforms.qc_post_processing', 'class':'QCPostProcessing'})
process_definition_id = self.process_dispatcher.create_process_definition(process_definition)
process_id = self.process_dispatcher.create_process(process_definition_id)
self.process_dispatcher.schedule_process(process_definition_id, process_id=process_id, configuration=config)
timer_id = self.scheduler_service.create_interval_timer(start_time=str(time.time()),
end_time='-1', #Run FOREVER
interval=3600*self.run_interval,
event_origin=interval_key)
def setUp(self):
self.interval_timer_count = 0
self.interval_timer_sent_time = 0
self.interval_timer_received_time = 0
self.interval_timer_interval = 3
# Start container
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
process = FakeProcess()
self.ssclient = SchedulerServiceProcessClient(node=self.container.node, process=process)
self.rrclient = ResourceRegistryServiceProcessClient(node=self.container.node, process=process)
def on_start(self):
super(DemoStreamAlertTransform,self).on_start()
#-------------------------------------------------------------------------------------
# Values that are passed in when the transform is launched
#-------------------------------------------------------------------------------------
self.instrument_variable_name = self.CFG.get_safe('process.variable_name', 'input_voltage')
self.time_field_name = self.CFG.get_safe('process.time_field_name', 'preferred_timestamp')
self.valid_values = self.CFG.get_safe('process.valid_values', [-200,200])
self.timer_origin = self.CFG.get_safe('process.timer_origin', 'Interval Timer')
self.timer_interval = self.CFG.get_safe('process.timer_interval', 6)
# Check that valid_values is a list
validate_is_instance(self.valid_values, list)
# Start the timer
self.ssclient = SchedulerServiceProcessClient(node=self.container.node, process=self)
id = self._create_interval_timer_with_end_time(timer_interval=self.timer_interval, end_time=-1)
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()