class AsyncResultWaiter(object):
"""
Class that makes waiting for an async result notification easy.
Creates a subscriber for a generated token name, which can be handed to the async provider.
The provider then publishes the result to the token name when ready.
The caller can wait for the result or timeout.
"""
def __init__(self, process=None):
self.process = process
self.async_res = AsyncResult()
self.wait_name = "asyncresult_" + create_simple_unique_id()
if self.process:
self.wait_name = self.wait_name + "_" + self.process.id
# TODO: Use same mechanism as pooled RPC response endpoint (without the request)
self.wait_sub = Subscriber(from_name=self.wait_name,
callback=self._result_callback,
auto_delete=True)
self.activated = False
def activate(self):
if self.activated:
raise BadRequest("Already active")
self.listen_gl = spawn(self.wait_sub.listen
) # This initializes and activates the listener
self.wait_sub.get_ready_event().wait(timeout=1)
self.activated = True
return self.wait_name
def _result_callback(self, msg, headers):
log.debug("AsyncResultWaiter: received message")
self.async_res.set(msg)
def await (self, timeout=None, request_id=None):
try:
result = self.async_res.get(timeout=timeout)
if request_id and isinstance(
result,
AsyncResultMsg) and result.request_id != request_id:
log.warn("Received result for different request: %s", result)
result = None
except gevent.Timeout:
raise Timeout("Timeout in AsyncResultWaiter name={}".format(
self.wait_name))
finally:
self.wait_sub.deactivate()
self.wait_sub.close()
self.listen_gl.join(timeout=1)
self.activated = False
return result
def get_realtime_visualization_data(self, query_token=''):
"""This operation returns a block of visualization data for displaying data product in real time. This operation requires a
user specific token which was provided from a previous request to the init_realtime_visualization operation.
@param query_token str
@retval datatable str
@throws NotFound Throws if specified query_token or its visualization product does not exist
"""
log.debug("get_realtime_visualization_data Vis worker: %s", self.id)
ret_val = []
if not query_token:
raise BadRequest("The query_token parameter is missing")
try:
#Taking advantage of idempotency
queue_name = '-'.join([USER_VISUALIZATION_QUEUE, query_token])
xq = self.container.ex_manager.create_xn_queue(queue_name)
subscriber = Subscriber(from_name=xq)
subscriber.initialize()
except:
# Close the subscriber if it exists
if subscriber:
subscriber.close()
raise BadRequest("Could not subscribe to the real-time queue")
msgs = subscriber.get_all_msgs(timeout=2)
for x in range(len(msgs)):
msgs[x].ack()
subscriber.close()
# Different messages should get processed differently. Ret val will be decided by the viz product type
ret_val = self._process_visualization_message(msgs)
return ret_val
def get_realtime_visualization_data(self, query_token=''):
"""This operation returns a block of visualization data for displaying data product in real time. This operation requires a
user specific token which was provided from a previous request to the init_realtime_visualization operation.
@param query_token str
@retval datatable str
@throws NotFound Throws if specified query_token or its visualization product does not exist
"""
log.debug( "get_realtime_visualization_data Vis worker: %s", self.id)
ret_val = []
if not query_token:
raise BadRequest("The query_token parameter is missing")
try:
#Taking advantage of idempotency
queue_name = '-'.join([USER_VISUALIZATION_QUEUE, query_token])
xq = self.container.ex_manager.create_xn_queue(queue_name)
subscriber = Subscriber(from_name=xq)
subscriber.initialize()
except:
# Close the subscriber if it exists
if subscriber:
subscriber.close()
raise BadRequest("Could not subscribe to the real-time queue")
msgs = subscriber.get_all_msgs(timeout=2)
for x in range(len(msgs)):
msgs[x].ack()
subscriber.close()
# Different messages should get processed differently. Ret val will be decided by the viz product type
ret_val = self._process_visualization_message(msgs)
return ret_val
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)
def test_consume_one_message_at_a_time(self):
# see also pyon.net.test.test_channel:TestChannelInt.test_consume_one_message_at_a_time
pub3 = Publisher(to_name=(self.container.ex_manager.default_xs.exchange, 'routed.3'))
pub5 = Publisher(to_name=(self.container.ex_manager.default_xs.exchange, 'routed.5'))
#
# SETUP COMPLETE, BEGIN TESTING OF EXCHANGE OBJECTS
#
xq = self.container.ex_manager.create_xn_queue('random_queue')
self.addCleanup(xq.delete)
# recv'd messages from the subscriber
self.recv_queue = Queue()
def cb(m, h):
raise StandardError("Subscriber callback never gets called back!")
sub = Subscriber(from_name=xq, callback=cb)
sub.initialize()
# publish 10 messages - we're not bound yet, so they'll just dissapear
for x in xrange(10):
pub3.publish("3,%s" % str(x))
# allow time for routing
time.sleep(2)
# no messages yet
self.assertRaises(Timeout, sub.get_one_msg, timeout=0)
# now, we'll bind the xq
xq.bind('routed.3')
# even tho we are consuming, there are no messages - the previously published ones all dissapeared
self.assertRaises(Timeout, sub.get_one_msg, timeout=0)
# publish those messages again
for x in xrange(10):
pub3.publish("3,%s" % str(x))
# allow time for routing
time.sleep(2)
# NOW we have messages!
for x in xrange(10):
mo = sub.get_one_msg(timeout=10)
self.assertEquals(mo.body, "3,%s" % str(x))
mo.ack()
# we've cleared it all
self.assertRaises(Timeout, sub.get_one_msg, timeout=0)
# bind a wildcard and publish on both
xq.bind('routed.*')
for x in xrange(10):
time.sleep(0.3)
pub3.publish("3,%s" % str(x))
time.sleep(0.3)
pub5.publish("5,%s" % str(x))
# allow time for routing
time.sleep(2)
# should get all 20, interleaved
for x in xrange(10):
mo = sub.get_one_msg(timeout=1)
self.assertEquals(mo.body, "3,%s" % str(x))
mo.ack()
mo = sub.get_one_msg(timeout=1)
self.assertEquals(mo.body, "5,%s" % str(x))
mo.ack()
# add 5 binding, remove all other bindings
xq.bind('routed.5')
xq.unbind('routed.3')
xq.unbind('routed.*')
# try publishing to 3, shouldn't arrive anymore
pub3.publish("3")
self.assertRaises(Timeout, sub.get_one_msg, timeout=0)
# let's turn off the consumer and let things build up a bit
sub._chan.stop_consume()
for x in xrange(10):
pub5.publish("5,%s" % str(x))
# allow time for routing
time.sleep(2)
# 10 messages in the queue, no consumers
self.assertTupleEqual((10, 0), sub._chan.get_stats())
# drain queue
sub._chan.start_consume()
for x in xrange(10):
mo = sub.get_one_msg(timeout=1)
mo.ack()
sub.close()
class TransformBenchTesting(TransformDataProcess):
"""
Easiest way to run:
from pyon.util.containers import DotDict
tbt=cc.proc_manager._create_service_instance('55', 'tbt', 'pyon.ion.transform', 'TransformBenchTesting', DotDict({'process':{'name':'tbt', 'transform_id':'55'}}))
tbt.init()
tbt.start()
"""
transform_number = 0
message_length = 0
def __init__(self):
super(TransformBenchTesting, self).__init__()
self.count = 0
TransformBenchTesting.transform_number += 1
def perf(self):
with open('/tmp/pyon_performance.dat', 'a') as f:
then = time.time()
ocount = self.count
while True:
gevent.sleep(2.)
now = time.time()
count = self.count
delta_t = now - then
delta_c = count - ocount
f.write(
'%s|%s\t%s\t%s\t%3.3f\n' %
(get_sys_name(), time.strftime("%H:%M:%S", time.gmtime()),
TransformBenchTesting.message_length,
TransformBenchTesting.transform_number,
float(delta_c) / delta_t))
then = now
ocount = count
f.flush()
@staticmethod
def launch_benchmark(transform_number=1, primer=1, message_length=4):
import gevent
from gevent.greenlet import Greenlet
from pyon.util.containers import DotDict
from pyon.net.transport import NameTrio
from pyon.net.endpoint import Publisher
import uuid
num = transform_number
msg_len = message_length
transforms = list()
pids = 1
TransformBenchTesting.message_length = message_length
cc = Container.instance
pub = Publisher(to_name=NameTrio(get_sys_name(),
str(uuid.uuid4())[0:6]))
for i in xrange(num):
tbt = cc.proc_manager._create_service_instance(
str(pids), 'tbt', 'prototype.transforms.linear',
'TransformInPlace',
DotDict({
'process': {
'name': 'tbt%d' % pids,
'transform_id': pids
}
}))
tbt.init()
tbt.start()
gevent.sleep(0.2)
for i in xrange(primer):
pub.publish(list(xrange(msg_len)))
g = Greenlet(tbt.perf)
g.start()
transforms.append(tbt)
pids += 1
def on_start(self):
TransformDataProcess.on_start(self)
# set up subscriber to *
self._bt_sub = Subscriber(callback=lambda m, h: self.call_process(m),
from_name=NameTrio(get_sys_name(),
'bench_queue', '*'))
# spawn listener
self._sub_gl = spawn(self._bt_sub.listen)
# set up publisher to anything!
self._bt_pub = Publisher(to_name=NameTrio(get_sys_name(),
str(uuid.uuid4())[0:6]))
def publish(self, msg):
self._bt_pub.publish(msg)
self.count += 1
def _stop_listener(self):
self._bt_sub.close()
self._sub_gl.join(timeout=2)
self._sub_gl.kill()
def on_stop(self):
TransformDataProcess.on_stop(self)
self._stop_listener()
def on_quit(self):
TransformDataProcess.on_quit(self)
self._stop_listener()
def test_consume_one_message_at_a_time(self):
# see also pyon.net.test.test_channel:TestChannelInt.test_consume_one_message_at_a_time
pub3 = Publisher(to_name=(self.container.ex_manager.default_xs.exchange, 'routed.3'))
pub5 = Publisher(to_name=(self.container.ex_manager.default_xs.exchange, 'routed.5'))
#
# SETUP COMPLETE, BEGIN TESTING OF EXCHANGE OBJECTS
#
xq = self.container.ex_manager.create_xn_queue('random_queue')
self.addCleanup(xq.delete)
# recv'd messages from the subscriber
self.recv_queue = Queue()
sub = Subscriber(from_name=xq, callback=lambda m,h: self.recv_queue.put((m, h)))
sub.prepare_listener()
# publish 10 messages - we're not bound yet, so they'll just dissapear
for x in xrange(10):
pub3.publish("3,%s" % str(x))
# no messages yet
self.assertFalse(sub.get_one_msg(timeout=0))
# now, we'll bind the xq
xq.bind('routed.3')
# even tho we are consuming, there are no messages - the previously published ones all dissapeared
self.assertFalse(sub.get_one_msg(timeout=0))
# publish those messages again
for x in xrange(10):
pub3.publish("3,%s" % str(x))
# NOW we have messages!
for x in xrange(10):
self.assertTrue(sub.get_one_msg(timeout=0))
m,h = self.recv_queue.get(timeout=0)
self.assertEquals(m, "3,%s" % str(x))
# we've cleared it all
self.assertFalse(sub.get_one_msg(timeout=0))
# bind a wildcard and publish on both
xq.bind('routed.*')
for x in xrange(10):
time.sleep(0.3)
pub3.publish("3,%s" % str(x))
time.sleep(0.3)
pub5.publish("5,%s" % str(x))
# should get all 20, interleaved
for x in xrange(10):
self.assertTrue(sub.get_one_msg(timeout=0))
m, h = self.recv_queue.get(timeout=0)
self.assertEquals(m, "3,%s" % str(x))
self.assertTrue(sub.get_one_msg(timeout=0))
m, h = self.recv_queue.get(timeout=0)
self.assertEquals(m, "5,%s" % str(x))
# add 5 binding, remove all other bindings
xq.bind('routed.5')
xq.unbind('routed.3')
xq.unbind('routed.*')
# try publishing to 3, shouldn't arrive anymore
pub3.publish("3")
self.assertFalse(sub.get_one_msg(timeout=0))
# let's turn off the consumer and let things build up a bit
sub._chan.stop_consume()
for x in xrange(10):
pub5.publish("5,%s" % str(x))
# 10 messages in the queue, no consumers
self.assertTupleEqual((10, 0), sub._chan.get_stats())
# drain queue
sub._chan.start_consume()
time.sleep(1) # yield to allow delivery
for x in xrange(10):
self.assertTrue(sub.get_one_msg(timeout=0))
self.recv_queue.get(timeout=0)
sub.close()
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)
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
class TransformBenchTesting(TransformDataProcess):
"""
Easiest way to run:
from pyon.util.containers import DotDict
tbt=cc.proc_manager._create_service_instance('55', 'tbt', 'pyon.ion.transform', 'TransformBenchTesting', DotDict({'process':{'name':'tbt', 'transform_id':'55'}}))
tbt.init()
tbt.start()
"""
transform_number = 0
message_length = 0
def __init__(self):
super(TransformBenchTesting,self).__init__()
self.count = 0
TransformBenchTesting.transform_number += 1
def perf(self):
with open('/tmp/pyon_performance.dat','a') as f:
then = time.time()
ocount = self.count
while True:
gevent.sleep(2.)
now = time.time()
count = self.count
delta_t = now - then
delta_c = count - ocount
f.write('%s|%s\t%s\t%s\t%3.3f\n' % (get_sys_name(),time.strftime("%H:%M:%S", time.gmtime()),TransformBenchTesting.message_length,TransformBenchTesting.transform_number, float(delta_c) / delta_t))
then = now
ocount = count
f.flush()
@staticmethod
def launch_benchmark(transform_number=1, primer=1,message_length=4):
import gevent
from gevent.greenlet import Greenlet
from pyon.util.containers import DotDict
from pyon.net.transport import NameTrio
from pyon.net.endpoint import Publisher
import uuid
num = transform_number
msg_len = message_length
transforms = list()
pids = 1
TransformBenchTesting.message_length = message_length
cc = Container.instance
pub = Publisher(to_name=NameTrio(get_sys_name(),str(uuid.uuid4())[0:6]))
for i in xrange(num):
tbt=cc.proc_manager._create_service_instance(str(pids), 'tbt', 'prototype.transforms.linear', 'TransformInPlace', DotDict({'process':{'name':'tbt%d' % pids, 'transform_id':pids}}))
tbt.init()
tbt.start()
gevent.sleep(0.2)
for i in xrange(primer):
pub.publish(list(xrange(msg_len)))
g = Greenlet(tbt.perf)
g.start()
transforms.append(tbt)
pids += 1
def on_start(self):
TransformDataProcess.on_start(self)
# set up subscriber to *
self._bt_sub = Subscriber(callback=lambda m, h: self.call_process(m),
from_name=NameTrio(get_sys_name(), 'bench_queue', '*'))
# spawn listener
self._sub_gl = spawn(self._bt_sub.listen)
# set up publisher to anything!
self._bt_pub = Publisher(to_name=NameTrio(get_sys_name(), str(uuid.uuid4())[0:6]))
def publish(self, msg):
self._bt_pub.publish(msg)
self.count+=1
def _stop_listener(self):
self._bt_sub.close()
self._sub_gl.join(timeout=2)
self._sub_gl.kill()
def on_stop(self):
TransformDataProcess.on_stop(self)
self._stop_listener()
def on_quit(self):
TransformDataProcess.on_quit(self)
self._stop_listener()
