class ProcessDispatcherServiceLocalIntTest(IonIntegrationTestCase):
"""Integration tests for the "local" mode of the PD
In local mode processes are directly started on the local container. This
is provided to allow use of PD functionality when launching via a single
rel file instead of via a "real" CEI launch.
"""
def setUp(self):
# ensure bridge mode is disabled
if 'process_dispatcher_bridge' in CFG:
del CFG['process_dispatcher_bridge']
# set up the container
self._start_container()
self.cc = ContainerAgentClient(node=self.container.node, name=self.container.name)
self.cc.start_rel_from_url('res/deploy/r2cei.yml')
self.pd_cli = ProcessDispatcherServiceClient(node=self.cc.node)
self.process_definition = ProcessDefinition(name='basic_transform_definition')
self.process_definition.executable = {'module': 'ion.processes.data.transforms.transform_example',
'class':'TransformExample'}
self.process_definition_id = self.pd_cli.create_process_definition(self.process_definition)
def test_schedule_cancel(self):
process_schedule = ProcessSchedule()
pid = self.pd_cli.schedule_process(self.process_definition_id,
process_schedule, configuration={})
proc = self.container.proc_manager.procs.get(pid)
self.assertIsInstance(proc, TransformExample)
# failures could theoretically leak processes but I don't think that
# matters since everything gets torn down between tests
self.pd_cli.cancel_process(pid)
self.assertNotIn(pid, self.container.proc_manager.procs)
class ProcessDispatcherSimpleAPIClient(object):
# State to use when state returned from PD is None
unknown_state = "400-PENDING"
state_map = {
ProcessStateEnum.SPAWN: '500-RUNNING',
ProcessStateEnum.TERMINATE: '700-TERMINATED',
ProcessStateEnum.ERROR: '850-FAILED'
}
def __init__(self, name, **kwargs):
self.real_client = ProcessDispatcherServiceClient(to_name=name, **kwargs)
self.event_pub = EventPublisher()
def dispatch_process(self, upid, spec, subscribers, constraints=None,
immediate=False):
name = spec.get('name')
self.event_pub.publish_event(event_type="ProcessLifecycleEvent",
origin=name, origin_type="DispatchedHAProcess",
state=ProcessStateEnum.SPAWN)
process_def = ProcessDefinition(name=name)
process_def.executable = {'module': spec.get('module'),
'class': spec.get('class')}
process_def_id = self.real_client.create_process_definition(process_def)
pid = self.real_client.create_process(process_def_id)
process_schedule = ProcessSchedule()
sched_pid = self.real_client.schedule_process(process_def_id,
process_schedule, configuration={}, process_id=pid)
proc = self.real_client.read_process(sched_pid)
dict_proc = {'upid': proc.process_id,
'state': self.state_map.get(proc.process_state, self.unknown_state),
}
return dict_proc
def terminate_process(self, pid):
return self.real_client.cancel_process(pid)
def describe_processes(self):
procs = self.real_client.list_processes()
dict_procs = []
for proc in procs:
dict_proc = {'upid': proc.process_id,
'state': self.state_map.get(proc.process_state, self.unknown_state),
}
dict_procs.append(dict_proc)
return dict_procs
def test_cei_launch_mode(self):
pdc = ProcessDispatcherServiceClient(node=self.container.node)
p_def = ProcessDefinition(name='Agent007')
p_def.executable = {
'module' : 'ion.agents.instrument.instrument_agent',
'class' : 'InstrumentAgent'
}
p_def_id = pdc.create_process_definition(p_def)
pid = pdc.create_process(p_def_id)
def event_callback(event, *args, **kwargs):
print '######### proc %s in state %s' % (event.origin, ProcessStateEnum._str_map[event.state])
sub = EventSubscriber(event_type='ProcessLifecycleEvent',
callback=event_callback,
origin=pid,
origin_type='DispatchedProcess')
sub.start()
agent_config = deepcopy(self._agent_config)
agent_config['bootmode'] = 'restart'
pdc.schedule_process(p_def_id, process_id=pid,
configuration=agent_config)
gevent.sleep(5)
pdc.cancel_process(pid)
gevent.sleep(15)
sub.stop()
def test_cei_launch_mode(self):
pdc = ProcessDispatcherServiceClient(node=self.container.node)
p_def = ProcessDefinition(name='Agent007')
p_def.executable = {
'module' : 'ion.agents.instrument.instrument_agent',
'class' : 'InstrumentAgent'
}
p_def_id = pdc.create_process_definition(p_def)
pid = pdc.create_process(p_def_id)
def event_callback(event, *args, **kwargs):
print '######### proc %s in state %s' % (event.origin, ProcessStateEnum._str_map[event.state])
sub = EventSubscriber(event_type='ProcessLifecycleEvent',
callback=event_callback,
origin=pid,
origin_type='DispatchedProcess')
sub.start()
agent_config = deepcopy(self._agent_config)
agent_config['bootmode'] = 'restart'
pdc.schedule_process(p_def_id, process_id=pid,
configuration=agent_config)
gevent.sleep(5)
pdc.cancel_process(pid)
gevent.sleep(15)
sub.stop()
class _Launcher(object):
"""
Helper for launching platform agent processes. This helper was introduced
to facilitate testing and diagnosing of launching issues in coi_pycc and
other builds in buildbot.
"""
def __init__(self, use_gate=True):
"""
@param use_gate True (the default) to use ProcessStateGate pattern.
Otherwise, use the
"create_process/subscribe-to-event/schedule_process/_await_state_event"
pattern (as described in
https://confluence.oceanobservatories.org/display/CIDev/R2+Process+Dispatcher+Guide
as of Sept 14/12).
"""
self._use_gate = use_gate
self._pd_client = ProcessDispatcherServiceClient()
def launch(self, platform_id, agent_config, timeout_spawn=30):
"""
Launches a sub-platform agent.
@param platform_id Platform ID
@param agent_config Agent configuration
@param timeout_spawn Timeout in secs for the SPAWN event (by
default 30). If None or zero, no wait is performed.
@retval process ID
"""
log.debug("launch: platform_id=%r, timeout_spawn=%s", platform_id,
str(timeout_spawn))
if self._use_gate:
return self._do_launch_gate(platform_id, agent_config,
timeout_spawn)
# NOTE 2013-01-15: self._use_gate is always True. No need for the following.
#
# try:
# return self._do_launch(platform_id, agent_config, timeout_spawn)
# finally:
# self._event_queue = None
# self._event_sub = None
def cancel_process(self, pid):
"""
Helper to terminate a process
"""
self._pd_client.cancel_process(pid)
def _do_launch_gate(self, platform_id, agent_config, timeout_spawn):
"""
The method for when using the ProcessStateGate pattern, which is the
one used by test_oms_launch2 to launch the root platform.
"""
log.debug("_do_launch_gate: platform_id=%r, timeout_spawn=%s",
platform_id, timeout_spawn)
pa_name = 'PlatformAgent_%s' % platform_id
pdef = ProcessDefinition(name=pa_name)
pdef.executable = {'module': PA_MOD, 'class': PA_CLS}
pdef_id = self._pd_client.create_process_definition(
process_definition=pdef)
log.debug("using schedule_process directly %r", platform_id)
pid = self._pd_client.schedule_process(process_definition_id=pdef_id,
schedule=None,
configuration=agent_config)
if timeout_spawn:
# ProcessStateGate used as indicated in its pydoc (9/21/12)
gate = ProcessStateGate(self._pd_client.read_process, pid,
ProcessStateEnum.RUNNING)
err_msg = None
try:
if not gate. await (timeout_spawn):
err_msg = "The platform agent instance did not spawn in " \
"%s seconds. gate.wait returned false. " % \
timeout_spawn
log.error(err_msg)
except Exception as e:
log.error(
"Exception while waiting for platform agent instance "
"(platform_id=%r) "
"to spawn in %s seconds: %s", platform_id, timeout_spawn,
str(e)) #,exc_Info=True)
if err_msg:
raise PlatformException(err_msg)
log.debug(
"_do_launch_gate: platform_id=%r: agent spawned, pid=%r "
"(ProcessStateGate pattern used)", platform_id, pid)
return pid
def test_dm_integration(self):
'''
test_salinity_transform
Test full DM Services Integration
'''
cc = self.container
assertions = self.assertTrue
#-----------------------------
# Copy below here to run as a script (don't forget the imports of course!)
#-----------------------------
# Create some service clients...
pubsub_management_service = PubsubManagementServiceClient(node=cc.node)
ingestion_management_service = IngestionManagementServiceClient(node=cc.node)
dataset_management_service = DatasetManagementServiceClient(node=cc.node)
data_retriever_service = DataRetrieverServiceClient(node=cc.node)
transform_management_service = TransformManagementServiceClient(node=cc.node)
process_dispatcher = ProcessDispatcherServiceClient(node=cc.node)
# declare some handy variables
datastore_name = 'test_dm_integration'
###
### In the beginning there were two stream definitions...
###
# create a stream definition for the data from the ctd simulator
ctd_stream_def = SBE37_CDM_stream_definition()
ctd_stream_def_id = pubsub_management_service.create_stream_definition(container=ctd_stream_def, name='Simulated CTD data')
# create a stream definition for the data from the salinity Transform
sal_stream_def_id = pubsub_management_service.create_stream_definition(container=SalinityTransform.outgoing_stream_def, name='Scalar Salinity data stream')
###
### And two process definitions...
###
# one for the ctd simulator...
producer_definition = ProcessDefinition()
producer_definition.executable = {
'module':'ion.processes.data.ctd_stream_publisher',
'class':'SimpleCtdPublisher'
}
ctd_sim_procdef_id = process_dispatcher.create_process_definition(process_definition=producer_definition)
# one for the salinity transform
producer_definition = ProcessDefinition()
producer_definition.executable = {
'module':'ion.processes.data.transforms.ctd.ctd_L2_salinity',
'class':'SalinityTransform'
}
salinity_transform_procdef_id = process_dispatcher.create_process_definition(process_definition=producer_definition)
#---------------------------
# Set up ingestion - this is an operator concern - not done by SA in a deployed system
#---------------------------
# Configure ingestion using eight workers, ingesting to test_dm_integration datastore with the SCIDATA profile
log.debug('Calling create_ingestion_configuration')
ingestion_configuration_id = ingestion_management_service.create_ingestion_configuration(
exchange_point_id='science_data',
couch_storage=CouchStorage(datastore_name=datastore_name,datastore_profile='SCIDATA'),
number_of_workers=1
)
#
ingestion_management_service.activate_ingestion_configuration(
ingestion_configuration_id=ingestion_configuration_id)
#---------------------------
# Set up the producer (CTD Simulator)
#---------------------------
# Create the stream
ctd_stream_id = pubsub_management_service.create_stream(stream_definition_id=ctd_stream_def_id)
# Set up the datasets
ctd_dataset_id = dataset_management_service.create_dataset(
stream_id=ctd_stream_id,
datastore_name=datastore_name,
view_name='datasets/stream_join_granule'
)
# Configure ingestion of this dataset
ctd_dataset_config_id = ingestion_management_service.create_dataset_configuration(
dataset_id = ctd_dataset_id,
archive_data = True,
archive_metadata = True,
ingestion_configuration_id = ingestion_configuration_id, # you need to know the ingestion configuration id!
)
# Hold onto ctd_dataset_config_id if you want to stop/start ingestion of that dataset by the ingestion service
#---------------------------
# Set up the salinity transform
#---------------------------
# Create the stream
sal_stream_id = pubsub_management_service.create_stream(stream_definition_id=sal_stream_def_id)
# Set up the datasets
sal_dataset_id = dataset_management_service.create_dataset(
stream_id=sal_stream_id,
datastore_name=datastore_name,
view_name='datasets/stream_join_granule'
)
# Configure ingestion of the salinity as a dataset
sal_dataset_config_id = ingestion_management_service.create_dataset_configuration(
dataset_id = sal_dataset_id,
archive_data = True,
archive_metadata = True,
ingestion_configuration_id = ingestion_configuration_id, # you need to know the ingestion configuration id!
)
# Hold onto sal_dataset_config_id if you want to stop/start ingestion of that dataset by the ingestion service
# Create a subscription as input to the transform
sal_transform_input_subscription_id = pubsub_management_service.create_subscription(
query = StreamQuery(stream_ids=[ctd_stream_id,]),
exchange_name='salinity_transform_input') # how do we make these names??? i.e. Should they be anonymous?
# create the salinity transform
sal_transform_id = transform_management_service.create_transform(
name='example salinity transform',
in_subscription_id=sal_transform_input_subscription_id,
out_streams={'output':sal_stream_id,},
process_definition_id = salinity_transform_procdef_id,
# no configuration needed at this time...
)
# start the transform - for a test case it makes sense to do it before starting the producer but it is not required
transform_management_service.activate_transform(transform_id=sal_transform_id)
# Start the ctd simulator to produce some data
configuration = {
'process':{
'stream_id':ctd_stream_id,
}
}
ctd_sim_pid = process_dispatcher.schedule_process(process_definition_id=ctd_sim_procdef_id, configuration=configuration)
###
### Make a subscriber in the test to listen for salinity data
###
salinity_subscription_id = pubsub_management_service.create_subscription(
query=StreamQuery([sal_stream_id,]),
exchange_name = 'salinity_test',
name = "test salinity subscription",
)
pid = cc.spawn_process(name='dummy_process_for_test',
module='pyon.ion.process',
cls='SimpleProcess',
config={})
dummy_process = cc.proc_manager.procs[pid]
subscriber_registrar = StreamSubscriberRegistrar(process=dummy_process, node=cc.node)
result = gevent.event.AsyncResult()
results = []
def message_received(message, headers):
# Heads
log.warn('Salinity data received!')
results.append(message)
if len(results) >3:
result.set(True)
subscriber = subscriber_registrar.create_subscriber(exchange_name='salinity_test', callback=message_received)
subscriber.start()
# after the queue has been created it is safe to activate the subscription
pubsub_management_service.activate_subscription(subscription_id=salinity_subscription_id)
# Assert that we have received data
assertions(result.get(timeout=10))
# stop the flow parse the messages...
process_dispatcher.cancel_process(ctd_sim_pid) # kill the ctd simulator process - that is enough data
for message in results:
psd = PointSupplementStreamParser(stream_definition=SalinityTransform.outgoing_stream_def, stream_granule=message)
# Test the handy info method for the names of fields in the stream def
assertions('salinity' in psd.list_field_names())
# you have to know the name of the coverage in stream def
salinity = psd.get_values('salinity')
import numpy
assertions(isinstance(salinity, numpy.ndarray))
assertions(numpy.nanmin(salinity) > 0.0) # salinity should always be greater than 0
class TestActivateRSNVel3DInstrument(IonIntegrationTestCase):
def setUp(self):
# Start container
super(TestActivateRSNVel3DInstrument, self).setUp()
config = DotDict()
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml', config)
# Now create client to DataProductManagementService
self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
self.damsclient = DataAcquisitionManagementServiceClient(node=self.container.node)
self.pubsubcli = PubsubManagementServiceClient(node=self.container.node)
self.imsclient = InstrumentManagementServiceClient(node=self.container.node)
self.dpclient = DataProductManagementServiceClient(node=self.container.node)
self.datasetclient = DatasetManagementServiceClient(node=self.container.node)
self.processdispatchclient = ProcessDispatcherServiceClient(node=self.container.node)
self.dataprocessclient = DataProcessManagementServiceClient(node=self.container.node)
self.dataproductclient = DataProductManagementServiceClient(node=self.container.node)
self.dataretrieverclient = DataRetrieverServiceClient(node=self.container.node)
self.dataset_management = DatasetManagementServiceClient()
def create_logger(self, name, stream_id=''):
# logger process
producer_definition = ProcessDefinition(name=name+'_logger')
producer_definition.executable = {
'module':'ion.processes.data.stream_granule_logger',
'class':'StreamGranuleLogger'
}
logger_procdef_id = self.processdispatchclient.create_process_definition(process_definition=producer_definition)
configuration = {
'process':{
'stream_id':stream_id,
}
}
pid = self.processdispatchclient.schedule_process(process_definition_id=logger_procdef_id,
configuration=configuration)
return pid
@attr('LOCOINT')
@unittest.skip('under construction')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False), 'Skip test while in CEI LAUNCH mode')
@patch.dict(CFG, {'endpoint':{'receive':{'timeout': 180}}})
def test_activate_rsn_vel3d(self):
log.info("--------------------------------------------------------------------------------------------------------")
# load_parameter_scenarios
self.container.spawn_process("Loader", "ion.processes.bootstrap.ion_loader", "IONLoader", config=dict(
op="load",
scenario="BETA",
path="master",
categories="ParameterFunctions,ParameterDefs,ParameterDictionary,StreamDefinition",
clearcols="owner_id,org_ids",
assets="res/preload/r2_ioc/ooi_assets",
parseooi="True",
))
self.loggerpids = []
# Create InstrumentModel
instModel_obj = IonObject(RT.InstrumentModel,
name='Vel3DMModel',
description="Vel3DMModel")
instModel_id = self.imsclient.create_instrument_model(instModel_obj)
log.debug( 'test_activate_rsn_vel3d new InstrumentModel id = %s ', instModel_id)
raw_config = StreamConfiguration(stream_name='raw', parameter_dictionary_name='raw' )
vel3d_b_sample = StreamConfiguration(stream_name='vel3d_b_sample', parameter_dictionary_name='vel3d_b_sample')
vel3d_b_engineering = StreamConfiguration(stream_name='vel3d_b_engineering', parameter_dictionary_name='vel3d_b_engineering')
RSN_VEL3D_01 = {
'DEV_ADDR' : "10.180.80.6",
'DEV_PORT' : 2101,
'DATA_PORT' : 1026,
'CMD_PORT' : 1025,
'PA_BINARY' : "port_agent"
}
# Create InstrumentAgent
instAgent_obj = IonObject(RT.InstrumentAgent,
name='Vel3DAgent',
description="Vel3DAgent",
driver_uri="http://sddevrepo.oceanobservatories.org/releases/nobska_mavs4_ooicore-0.0.7-py2.7.egg",
stream_configurations = [raw_config, vel3d_b_sample, vel3d_b_engineering])
instAgent_id = self.imsclient.create_instrument_agent(instAgent_obj)
log.debug('test_activate_rsn_vel3d new InstrumentAgent id = %s', instAgent_id)
self.imsclient.assign_instrument_model_to_instrument_agent(instModel_id, instAgent_id)
# Create InstrumentDevice
log.debug('test_activate_rsn_vel3d: Create instrument resource to represent the Vel3D ')
instDevice_obj = IonObject(RT.InstrumentDevice,
name='Vel3DDevice',
description="Vel3DDevice",
serial_number="12345" )
instDevice_id = self.imsclient.create_instrument_device(instrument_device=instDevice_obj)
self.imsclient.assign_instrument_model_to_instrument_device(instModel_id, instDevice_id)
log.debug("test_activate_rsn_vel3d: new InstrumentDevice id = %s " , instDevice_id)
port_agent_config = {
'device_addr': '10.180.80.6',
'device_port': 2101,
'process_type': PortAgentProcessType.UNIX,
'binary_path': "port_agent",
'port_agent_addr': 'localhost',
'command_port': 1025,
'data_port': 1026,
'log_level': 5,
'type': PortAgentType.ETHERNET
}
instAgentInstance_obj = IonObject(RT.InstrumentAgentInstance, name='Vel3DAgentInstance',
description="Vel3DAgentInstance",
port_agent_config = port_agent_config,
alerts= [])
instAgentInstance_id = self.imsclient.create_instrument_agent_instance(instAgentInstance_obj,
instAgent_id,
instDevice_id)
tdom, sdom = time_series_domain()
sdom = sdom.dump()
tdom = tdom.dump()
parsed_sample_pdict_id = self.dataset_management.read_parameter_dictionary_by_name('vel3d_b_sample', id_only=True)
parsed_sample_stream_def_id = self.pubsubcli.create_stream_definition(name='vel3d_b_sample', parameter_dictionary_id=parsed_sample_pdict_id)
parsed_eng_pdict_id = self.dataset_management.read_parameter_dictionary_by_name('vel3d_b_engineering', id_only=True)
parsed_eng_stream_def_id = self.pubsubcli.create_stream_definition(name='vel3d_b_engineering', parameter_dictionary_id=parsed_eng_pdict_id)
raw_pdict_id = self.dataset_management.read_parameter_dictionary_by_name('raw', id_only=True)
raw_stream_def_id = self.pubsubcli.create_stream_definition(name='raw', parameter_dictionary_id=raw_pdict_id)
#-------------------------------
# Create Raw and Parsed Data Products for the device
#-------------------------------
dp_obj = IonObject(RT.DataProduct,
name='vel3d_b_sample',
description='vel3d_b_sample',
temporal_domain = tdom,
spatial_domain = sdom)
sample_data_product_id = self.dpclient.create_data_product(data_product=dp_obj, stream_definition_id=parsed_sample_stream_def_id)
log.debug( 'new dp_id = %s' , sample_data_product_id)
self.dpclient.activate_data_product_persistence(data_product_id=sample_data_product_id)
self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=sample_data_product_id)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(sample_data_product_id, PRED.hasStream, None, True)
log.debug('sample_data_product streams1 = %s', stream_ids)
# Retrieve the id of the OUTPUT stream from the out Data Product
dataset_ids, _ = self.rrclient.find_objects(sample_data_product_id, PRED.hasDataset, RT.Dataset, True)
log.debug('Data set for sample_data_product = %s' , dataset_ids[0])
self.parsed_dataset = dataset_ids[0]
pid = self.create_logger('vel3d_b_sample', stream_ids[0] )
self.loggerpids.append(pid)
dp_obj = IonObject(RT.DataProduct,
name='vel3d_b_engineering',
description='vel3d_b_engineering',
temporal_domain = tdom,
spatial_domain = sdom)
eng_data_product_id = self.dpclient.create_data_product(data_product=dp_obj, stream_definition_id=parsed_eng_stream_def_id)
log.debug( 'new dp_id = %s' , eng_data_product_id)
self.dpclient.activate_data_product_persistence(data_product_id=eng_data_product_id)
self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=eng_data_product_id)
dp_obj = IonObject(RT.DataProduct,
name='the raw data',
description='raw stream test',
temporal_domain = tdom,
spatial_domain = sdom)
data_product_id2 = self.dpclient.create_data_product(data_product=dp_obj, stream_definition_id=raw_stream_def_id)
log.debug('new dp_id = %s', data_product_id2)
self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=data_product_id2)
self.dpclient.activate_data_product_persistence(data_product_id=data_product_id2)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(data_product_id2, PRED.hasStream, None, True)
log.debug('test_activate_rsn_vel3d Data product streams2 = %s' , str(stream_ids))
# Retrieve the id of the OUTPUT stream from the out Data Product
dataset_ids, _ = self.rrclient.find_objects(data_product_id2, PRED.hasDataset, RT.Dataset, True)
log.debug('test_activate_rsn_vel3d Data set for data_product_id2 = %s' , dataset_ids[0])
self.raw_dataset = dataset_ids[0]
def start_instrument_agent():
self.imsclient.start_instrument_agent_instance(instrument_agent_instance_id=instAgentInstance_id)
gevent.joinall([gevent.spawn(start_instrument_agent)])
#cleanup
self.addCleanup(self.imsclient.stop_instrument_agent_instance,
instrument_agent_instance_id=instAgentInstance_id)
#wait for start
inst_agent_instance_obj = self.imsclient.read_instrument_agent_instance(instAgentInstance_id)
gate = AgentProcessStateGate(self.processdispatchclient.read_process,
instDevice_id,
ProcessStateEnum.RUNNING)
self.assertTrue(gate.await(30), "The instrument agent instance (%s) did not spawn in 30 seconds" %
gate.process_id)
#log.trace('Instrument agent instance obj: = %s' , str(inst_agent_instance_obj))
# Start a resource agent client to talk with the instrument agent.
self._ia_client = ResourceAgentClient(instDevice_id,
to_name=gate.process_id,
process=FakeProcess())
def check_state(label, desired_state):
actual_state = self._ia_client.get_agent_state()
log.debug("%s instrument agent is in state '%s'", label, actual_state)
self.assertEqual(desired_state, actual_state)
log.debug("test_activate_rsn_vel3d: got ia client %s" , str(self._ia_client))
check_state("just-spawned", ResourceAgentState.UNINITIALIZED)
cmd = AgentCommand(command=ResourceAgentEvent.INITIALIZE)
retval = self._ia_client.execute_agent(cmd)
log.debug("test_activate_rsn_vel3d: initialize %s" , str(retval))
check_state("initialized", ResourceAgentState.INACTIVE)
log.debug("test_activate_rsn_vel3d Sending go_active command ")
cmd = AgentCommand(command=ResourceAgentEvent.GO_ACTIVE)
reply = self._ia_client.execute_agent(cmd)
log.debug("test_activate_rsn_vel3d: return value from go_active %s" , str(reply))
check_state("activated", ResourceAgentState.IDLE)
cmd = AgentCommand(command=ResourceAgentEvent.GET_RESOURCE_STATE)
retval = self._ia_client.execute_agent(cmd)
state = retval.result
log.debug("current state after sending go_active command %s" , str(state))
#
cmd = AgentCommand(command=ResourceAgentEvent.RUN)
reply = self._ia_client.execute_agent(cmd)
log.debug("test_activate_rsn_vel3d: run %s" , str(reply))
check_state("commanded", ResourceAgentState.COMMAND)
cmd = AgentCommand(command=ResourceAgentEvent.GET_RESOURCE_STATE)
retval = self._ia_client.execute_agent(cmd)
state = retval.result
log.debug("current state after sending run command %s" , str(state))
# cmd = AgentCommand(command=ProtocolEvent.START_AUTOSAMPLE)
# reply = self._ia_client.execute_agent(cmd)
# log.debug("test_activate_rsn_vel3d: run %s" , str(reply))
# state = self._ia_client.get_agent_state()
# self.assertEqual(ResourceAgentState.COMMAND, state)
#
# gevent.sleep(5)
#
# cmd = AgentCommand(command=ProtocolEvent.STOP_AUTOSAMPLE)
# reply = self._ia_client.execute_agent(cmd)
# log.debug("test_activate_rsn_vel3d: run %s" , str(reply))
# state = self._ia_client.get_agent_state()
# self.assertEqual(ResourceAgentState.COMMAND, state)
#
# cmd = AgentCommand(command=ResourceAgentEvent.GET_RESOURCE_STATE)
# retval = self._ia_client.execute_agent(cmd)
# state = retval.result
# log.debug("current state after sending STOP_AUTOSAMPLE command %s" , str(state))
#
# cmd = AgentCommand(command=ResourceAgentEvent.PAUSE)
# retval = self._ia_client.execute_agent(cmd)
# state = self._ia_client.get_agent_state()
# self.assertEqual(ResourceAgentState.STOPPED, state)
#
# cmd = AgentCommand(command=ResourceAgentEvent.RESUME)
# retval = self._ia_client.execute_agent(cmd)
# state = self._ia_client.get_agent_state()
# self.assertEqual(ResourceAgentState.COMMAND, state)
#
# cmd = AgentCommand(command=ResourceAgentEvent.CLEAR)
# retval = self._ia_client.execute_agent(cmd)
# state = self._ia_client.get_agent_state()
# self.assertEqual(ResourceAgentState.IDLE, state)
#
# cmd = AgentCommand(command=ResourceAgentEvent.RUN)
# retval = self._ia_client.execute_agent(cmd)
# state = self._ia_client.get_agent_state()
# self.assertEqual(ResourceAgentState.COMMAND, state)
log.debug( "test_activate_rsn_vel3d: calling reset ")
cmd = AgentCommand(command=ResourceAgentEvent.RESET)
reply = self._ia_client.execute_agent(cmd)
log.debug("test_activate_rsn_vel3d: return from reset %s" , str(reply))
#--------------------------------------------------------------------------------
# Now get the data in one chunk using an RPC Call to start_retreive
#--------------------------------------------------------------------------------
replay_data_raw = self.dataretrieverclient.retrieve(self.raw_dataset)
self.assertIsInstance(replay_data_raw, Granule)
rdt_raw = RecordDictionaryTool.load_from_granule(replay_data_raw)
log.debug("RDT raw: %s", str(rdt_raw.pretty_print()) )
self.assertIn('raw', rdt_raw)
raw_vals = rdt_raw['raw']
#--------------------------------------------------------------------------------
# Deactivate loggers
#--------------------------------------------------------------------------------
for pid in self.loggerpids:
self.processdispatchclient.cancel_process(pid)
self.dpclient.delete_data_product(sample_data_product_id)
self.dpclient.delete_data_product(eng_data_product_id)
self.dpclient.delete_data_product(data_product_id2)
def test_usgs_integration(self):
'''
test_usgs_integration
Test full DM Services Integration using usgs
'''
cc = self.container
assertions = self.assertTrue
#-----------------------------
# Copy below here
#-----------------------------
pubsub_management_service = PubsubManagementServiceClient(node=cc.node)
ingestion_management_service = IngestionManagementServiceClient(node=cc.node)
dataset_management_service = DatasetManagementServiceClient(node=cc.node)
data_retriever_service = DataRetrieverServiceClient(node=cc.node)
transform_management_service = TransformManagementServiceClient(node=cc.node)
process_dispatcher = ProcessDispatcherServiceClient(node=cc.node)
process_list = []
datasets = []
datastore_name = 'test_usgs_integration'
#---------------------------
# Set up ingestion
#---------------------------
# Configure ingestion using eight workers, ingesting to test_dm_integration datastore with the SCIDATA profile
log.debug('Calling create_ingestion_configuration')
ingestion_configuration_id = ingestion_management_service.create_ingestion_configuration(
exchange_point_id='science_data',
couch_storage=CouchStorage(datastore_name=datastore_name,datastore_profile='SCIDATA'),
number_of_workers=8
)
#
ingestion_management_service.activate_ingestion_configuration(
ingestion_configuration_id=ingestion_configuration_id)
usgs_stream_def = USGS_stream_definition()
stream_def_id = pubsub_management_service.create_stream_definition(container=usgs_stream_def, name='Junk definition')
#---------------------------
# Set up the producers (CTD Simulators)
#---------------------------
# Launch five simulated CTD producers
for iteration in xrange(2):
# Make a stream to output on
stream_id = pubsub_management_service.create_stream(stream_definition_id=stream_def_id)
#---------------------------
# Set up the datasets
#---------------------------
dataset_id = dataset_management_service.create_dataset(
stream_id=stream_id,
datastore_name=datastore_name,
view_name='datasets/stream_join_granule'
)
# Keep track of the datasets
datasets.append(dataset_id)
stream_policy_id = ingestion_management_service.create_dataset_configuration(
dataset_id = dataset_id,
archive_data = True,
archive_metadata = True,
ingestion_configuration_id = ingestion_configuration_id
)
producer_definition = ProcessDefinition()
producer_definition.executable = {
'module':'eoi.agent.handler.usgs_stream_publisher',
'class':'UsgsPublisher'
}
configuration = {
'process':{
'stream_id':stream_id,
}
}
procdef_id = process_dispatcher.create_process_definition(process_definition=producer_definition)
log.debug('LUKE_DEBUG: procdef_id: %s', procdef_id)
pid = process_dispatcher.schedule_process(process_definition_id=procdef_id, configuration=configuration)
# Keep track, we'll kill 'em later.
process_list.append(pid)
# Get about 4 seconds of data
time.sleep(4)
#---------------------------
# Stop producing data
#---------------------------
for process in process_list:
process_dispatcher.cancel_process(process)
#----------------------------------------------
# The replay and the transform, a love story.
#----------------------------------------------
# Happy Valentines to the clever coder who catches the above!
transform_definition = ProcessDefinition()
transform_definition.executable = {
'module':'ion.processes.data.transforms.transform_example',
'class':'TransformCapture'
}
transform_definition_id = process_dispatcher.create_process_definition(process_definition=transform_definition)
dataset_id = datasets.pop() # Just need one for now
replay_id, stream_id = data_retriever_service.define_replay(dataset_id=dataset_id)
#--------------------------------------------
# I'm Selling magazine subscriptions here!
#--------------------------------------------
subscription = pubsub_management_service.create_subscription(query=StreamQuery(stream_ids=[stream_id]),
exchange_name='transform_capture_point')
#--------------------------------------------
# Start the transform (capture)
#--------------------------------------------
transform_id = transform_management_service.create_transform(
name='capture_transform',
in_subscription_id=subscription,
process_definition_id=transform_definition_id
)
transform_management_service.activate_transform(transform_id=transform_id)
#--------------------------------------------
# BEGIN REPLAY!
#--------------------------------------------
data_retriever_service.start_replay(replay_id=replay_id)
#--------------------------------------------
# Lets get some boundaries
#--------------------------------------------
bounds = dataset_management_service.get_dataset_bounds(dataset_id=dataset_id)
class TestCTDTransformsIntegration(IonIntegrationTestCase):
pdict_id = None
def setUp(self):
# Start container
# print 'instantiating container'
self._start_container()
# container = Container()
# print 'starting container'
# container.start()
# print 'started container'
self.container.start_rel_from_url("res/deploy/r2deploy.yml")
print "started services"
# Now create client to DataProductManagementService
self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
self.damsclient = DataAcquisitionManagementServiceClient(node=self.container.node)
self.pubsubclient = PubsubManagementServiceClient(node=self.container.node)
self.ingestclient = IngestionManagementServiceClient(node=self.container.node)
self.imsclient = InstrumentManagementServiceClient(node=self.container.node)
self.dataproductclient = DataProductManagementServiceClient(node=self.container.node)
self.dataprocessclient = DataProcessManagementServiceClient(node=self.container.node)
self.datasetclient = DatasetManagementServiceClient(node=self.container.node)
self.processdispatchclient = ProcessDispatcherServiceClient(node=self.container.node)
self.dataset_management = self.datasetclient
def create_logger(self, name, stream_id=""):
# logger process
producer_definition = ProcessDefinition(name=name + "_logger")
producer_definition.executable = {
"module": "ion.processes.data.stream_granule_logger",
"class": "StreamGranuleLogger",
}
logger_procdef_id = self.processdispatchclient.create_process_definition(process_definition=producer_definition)
configuration = {"process": {"stream_id": stream_id}}
pid = self.processdispatchclient.schedule_process(
process_definition_id=logger_procdef_id, configuration=configuration
)
return pid
def _create_instrument_model(self):
instModel_obj = IonObject(
RT.InstrumentModel,
name="SBE37IMModel",
description="SBE37IMModel",
stream_configuration={"raw": "ctd_raw_param_dict", "parsed": "ctd_parsed_param_dict"},
)
instModel_id = self.imsclient.create_instrument_model(instModel_obj)
return instModel_id
def _create_instrument_agent(self, instModel_id):
instAgent_obj = IonObject(
RT.InstrumentAgent,
name="agent007",
description="SBE37IMAgent",
driver_module="mi.instrument.seabird.sbe37smb.ooicore.driver",
driver_class="SBE37Driver",
)
instAgent_id = self.imsclient.create_instrument_agent(instAgent_obj)
self.imsclient.assign_instrument_model_to_instrument_agent(instModel_id, instAgent_id)
return instAgent_id
def _create_instrument_device(self, instModel_id):
instDevice_obj = IonObject(
RT.InstrumentDevice, name="SBE37IMDevice", description="SBE37IMDevice", serial_number="12345"
)
instDevice_id = self.imsclient.create_instrument_device(instrument_device=instDevice_obj)
self.imsclient.assign_instrument_model_to_instrument_device(instModel_id, instDevice_id)
log.debug(
"test_activateInstrumentSample: new InstrumentDevice id = %s (SA Req: L4-CI-SA-RQ-241) ", instDevice_id
)
return instDevice_id
def _create_instrument_agent_instance(self, instAgent_id, instDevice_id):
port_agent_config = {
"device_addr": "sbe37-simulator.oceanobservatories.org",
"device_port": 4001,
"process_type": PortAgentProcessType.UNIX,
"binary_path": "port_agent",
"command_port": 4003,
"data_port": 4000,
"log_level": 5,
}
instAgentInstance_obj = IonObject(
RT.InstrumentAgentInstance,
name="SBE37IMAgentInstance",
description="SBE37IMAgentInstance",
port_agent_config=port_agent_config,
)
instAgentInstance_id = self.imsclient.create_instrument_agent_instance(
instAgentInstance_obj, instAgent_id, instDevice_id
)
return instAgentInstance_id
def _create_param_dicts(self):
tdom, sdom = time_series_domain()
self.sdom = sdom.dump()
self.tdom = tdom.dump()
self.pdict_id = self.dataset_management.read_parameter_dictionary_by_name("ctd_parsed_param_dict", id_only=True)
def _create_input_data_products(self, ctd_stream_def_id, instDevice_id):
dp_obj = IonObject(
RT.DataProduct,
name="the parsed data",
description="ctd stream test",
temporal_domain=self.tdom,
spatial_domain=self.sdom,
)
ctd_parsed_data_product = self.dataproductclient.create_data_product(dp_obj, ctd_stream_def_id)
self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=ctd_parsed_data_product)
self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_parsed_data_product)
# ---------------------------------------------------------------------------
# Retrieve the id of the OUTPUT stream from the out Data Product
# ---------------------------------------------------------------------------
stream_ids, _ = self.rrclient.find_objects(ctd_parsed_data_product, PRED.hasStream, None, True)
pid = self.create_logger("ctd_parsed", stream_ids[0])
self.loggerpids.append(pid)
# ---------------------------------------------------------------------------
# Create CTD Raw as the second data product
# ---------------------------------------------------------------------------
if not self.pdict_id:
self._create_param_dicts()
raw_stream_def_id = self.pubsubclient.create_stream_definition(
name="SBE37_RAW", parameter_dictionary_id=self.pdict_id
)
dp_obj = IonObject(
RT.DataProduct,
name="the raw data",
description="raw stream test",
temporal_domain=self.tdom,
spatial_domain=self.sdom,
)
ctd_raw_data_product = self.dataproductclient.create_data_product(dp_obj, raw_stream_def_id)
self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=ctd_raw_data_product)
self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_raw_data_product)
# ---------------------------------------------------------------------------
# Retrieve the id of the OUTPUT stream from the out Data Product
# ---------------------------------------------------------------------------
stream_ids, _ = self.rrclient.find_objects(ctd_raw_data_product, PRED.hasStream, None, True)
# ---------------------------------------------------------------------------
# Retrieve the id of the OUTPUT stream from the out Data Product
# ---------------------------------------------------------------------------
stream_ids, _ = self.rrclient.find_objects(ctd_raw_data_product, PRED.hasStream, None, True)
print "Data product streams2 = ", stream_ids
return ctd_parsed_data_product
def _create_data_process_definitions(self):
# -------------------------------------------------------------------------------------
# L0 Conductivity - Temperature - Pressure: Data Process Definition
# -------------------------------------------------------------------------------------
dpd_obj = IonObject(
RT.DataProcessDefinition,
name="ctd_L0_all",
description="transform ctd package into three separate L0 streams",
module="ion.processes.data.transforms.ctd.ctd_L0_all",
class_name="ctd_L0_all",
)
self.ctd_L0_all_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
# -------------------------------------------------------------------------------------
# L1 Conductivity: Data Process Definition
# -------------------------------------------------------------------------------------
dpd_obj = IonObject(
RT.DataProcessDefinition,
name="ctd_L1_conductivity",
description="create the L1 conductivity data product",
module="ion.processes.data.transforms.ctd.ctd_L1_conductivity",
class_name="CTDL1ConductivityTransform",
)
self.ctd_L1_conductivity_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
# -------------------------------------------------------------------------------------
# L1 Pressure: Data Process Definition
# -------------------------------------------------------------------------------------
dpd_obj = IonObject(
RT.DataProcessDefinition,
name="ctd_L1_pressure",
description="create the L1 pressure data product",
module="ion.processes.data.transforms.ctd.ctd_L1_pressure",
class_name="CTDL1PressureTransform",
)
self.ctd_L1_pressure_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
# -------------------------------------------------------------------------------------
# L1 Temperature: Data Process Definition
# -------------------------------------------------------------------------------------
dpd_obj = IonObject(
RT.DataProcessDefinition,
name="ctd_L1_temperature",
description="create the L1 temperature data product",
module="ion.processes.data.transforms.ctd.ctd_L1_temperature",
class_name="CTDL1TemperatureTransform",
)
self.ctd_L1_temperature_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
# -------------------------------------------------------------------------------------
# L2 Salinity: Data Process Definition
# -------------------------------------------------------------------------------------
dpd_obj = IonObject(
RT.DataProcessDefinition,
name="ctd_L2_salinity",
description="create the L1 temperature data product",
module="ion.processes.data.transforms.ctd.ctd_L2_salinity",
class_name="SalinityTransform",
)
self.ctd_L2_salinity_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
# -------------------------------------------------------------------------------------
# L2 Density: Data Process Definition
# -------------------------------------------------------------------------------------
dpd_obj = IonObject(
RT.DataProcessDefinition,
name="ctd_L2_density",
description="create the L1 temperature data product",
module="ion.processes.data.transforms.ctd.ctd_L2_density",
class_name="DensityTransform",
)
self.ctd_L2_density_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
return (
self.ctd_L0_all_dprocdef_id,
self.ctd_L1_conductivity_dprocdef_id,
self.ctd_L1_pressure_dprocdef_id,
self.ctd_L1_temperature_dprocdef_id,
self.ctd_L2_salinity_dprocdef_id,
self.ctd_L2_density_dprocdef_id,
)
def _create_stream_definitions(self):
if not self.pdict_id:
self._create_param_dicts()
outgoing_stream_l0_conductivity_id = self.pubsubclient.create_stream_definition(
name="L0_Conductivity", parameter_dictionary_id=self.pdict_id
)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
outgoing_stream_l0_conductivity_id, self.ctd_L0_all_dprocdef_id, binding="conductivity"
)
outgoing_stream_l0_pressure_id = self.pubsubclient.create_stream_definition(
name="L0_Pressure", parameter_dictionary_id=self.pdict_id
)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
outgoing_stream_l0_pressure_id, self.ctd_L0_all_dprocdef_id, binding="pressure"
)
outgoing_stream_l0_temperature_id = self.pubsubclient.create_stream_definition(
name="L0_Temperature", parameter_dictionary_id=self.pdict_id
)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
outgoing_stream_l0_temperature_id, self.ctd_L0_all_dprocdef_id, binding="temperature"
)
return outgoing_stream_l0_conductivity_id, outgoing_stream_l0_pressure_id, outgoing_stream_l0_temperature_id
def _create_l0_output_data_products(
self, outgoing_stream_l0_conductivity_id, outgoing_stream_l0_pressure_id, outgoing_stream_l0_temperature_id
):
output_products = {}
ctd_l0_conductivity_output_dp_obj = IonObject(
RT.DataProduct,
name="L0_Conductivity",
description="transform output conductivity",
temporal_domain=self.tdom,
spatial_domain=self.sdom,
)
self.ctd_l0_conductivity_output_dp_id = self.dataproductclient.create_data_product(
ctd_l0_conductivity_output_dp_obj, outgoing_stream_l0_conductivity_id
)
output_products["conductivity"] = self.ctd_l0_conductivity_output_dp_id
self.dataproductclient.activate_data_product_persistence(data_product_id=self.ctd_l0_conductivity_output_dp_id)
ctd_l0_pressure_output_dp_obj = IonObject(
RT.DataProduct,
name="L0_Pressure",
description="transform output pressure",
temporal_domain=self.tdom,
spatial_domain=self.sdom,
)
self.ctd_l0_pressure_output_dp_id = self.dataproductclient.create_data_product(
ctd_l0_pressure_output_dp_obj, outgoing_stream_l0_pressure_id
)
output_products["pressure"] = self.ctd_l0_pressure_output_dp_id
self.dataproductclient.activate_data_product_persistence(data_product_id=self.ctd_l0_pressure_output_dp_id)
ctd_l0_temperature_output_dp_obj = IonObject(
RT.DataProduct,
name="L0_Temperature",
description="transform output temperature",
temporal_domain=self.tdom,
spatial_domain=self.sdom,
)
self.ctd_l0_temperature_output_dp_id = self.dataproductclient.create_data_product(
ctd_l0_temperature_output_dp_obj, outgoing_stream_l0_temperature_id
)
output_products["temperature"] = self.ctd_l0_temperature_output_dp_id
self.dataproductclient.activate_data_product_persistence(data_product_id=self.ctd_l0_temperature_output_dp_id)
return output_products
def _create_l1_out_data_products(self):
ctd_l1_conductivity_output_dp_obj = IonObject(
RT.DataProduct,
name="L1_Conductivity",
description="transform output L1 conductivity",
temporal_domain=self.tdom,
spatial_domain=self.sdom,
)
self.ctd_l1_conductivity_output_dp_id = self.dataproductclient.create_data_product(
ctd_l1_conductivity_output_dp_obj, self.outgoing_stream_l1_conductivity_id
)
self.dataproductclient.activate_data_product_persistence(data_product_id=self.ctd_l1_conductivity_output_dp_id)
# Retrieve the id of the OUTPUT stream from the out Data Product and add to granule logger
stream_ids, _ = self.rrclient.find_objects(self.ctd_l1_conductivity_output_dp_id, PRED.hasStream, None, True)
pid = self.create_logger("ctd_l1_conductivity", stream_ids[0])
self.loggerpids.append(pid)
ctd_l1_pressure_output_dp_obj = IonObject(
RT.DataProduct,
name="L1_Pressure",
description="transform output L1 pressure",
temporal_domain=self.tdom,
spatial_domain=self.sdom,
)
self.ctd_l1_pressure_output_dp_id = self.dataproductclient.create_data_product(
ctd_l1_pressure_output_dp_obj, self.outgoing_stream_l1_pressure_id
)
self.dataproductclient.activate_data_product_persistence(data_product_id=self.ctd_l1_pressure_output_dp_id)
# Retrieve the id of the OUTPUT stream from the out Data Product and add to granule logger
stream_ids, _ = self.rrclient.find_objects(self.ctd_l1_pressure_output_dp_id, PRED.hasStream, None, True)
pid = self.create_logger("ctd_l1_pressure", stream_ids[0])
self.loggerpids.append(pid)
ctd_l1_temperature_output_dp_obj = IonObject(
RT.DataProduct,
name="L1_Temperature",
description="transform output L1 temperature",
temporal_domain=self.tdom,
spatial_domain=self.sdom,
)
self.ctd_l1_temperature_output_dp_id = self.dataproductclient.create_data_product(
ctd_l1_temperature_output_dp_obj, self.outgoing_stream_l1_temperature_id
)
self.dataproductclient.activate_data_product_persistence(data_product_id=self.ctd_l1_temperature_output_dp_id)
# Retrieve the id of the OUTPUT stream from the out Data Product and add to granule logger
stream_ids, _ = self.rrclient.find_objects(self.ctd_l1_temperature_output_dp_id, PRED.hasStream, None, True)
pid = self.create_logger("ctd_l1_temperature", stream_ids[0])
self.loggerpids.append(pid)
def _create_l2_out_data_products(self):
# -------------------------------
# L2 Salinity - Density: Output Data Products
# -------------------------------
if not self.pdict_id:
self._create_param_dicts()
outgoing_stream_l2_salinity_id = self.pubsubclient.create_stream_definition(
name="L2_salinity", parameter_dictionary_id=self.pdict_id
)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
outgoing_stream_l2_salinity_id, self.ctd_L2_salinity_dprocdef_id, binding="salinity"
)
outgoing_stream_l2_density_id = self.pubsubclient.create_stream_definition(
name="L2_Density", parameter_dictionary_id=self.pdict_id
)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
outgoing_stream_l2_density_id, self.ctd_L2_density_dprocdef_id, binding="density"
)
ctd_l2_salinity_output_dp_obj = IonObject(
RT.DataProduct,
name="L2_Salinity",
description="transform output L2 salinity",
temporal_domain=self.tdom,
spatial_domain=self.sdom,
)
self.ctd_l2_salinity_output_dp_id = self.dataproductclient.create_data_product(
ctd_l2_salinity_output_dp_obj, outgoing_stream_l2_salinity_id
)
self.dataproductclient.activate_data_product_persistence(data_product_id=self.ctd_l2_salinity_output_dp_id)
# Retrieve the id of the OUTPUT stream from the out Data Product and add to granule logger
stream_ids, _ = self.rrclient.find_objects(self.ctd_l2_salinity_output_dp_id, PRED.hasStream, None, True)
pid = self.create_logger("ctd_l2_salinity", stream_ids[0])
self.loggerpids.append(pid)
ctd_l2_density_output_dp_obj = IonObject(
RT.DataProduct,
name="L2_Density",
description="transform output pressure",
temporal_domain=self.tdom,
spatial_domain=self.sdom,
)
self.ctd_l2_density_output_dp_id = self.dataproductclient.create_data_product(
ctd_l2_density_output_dp_obj, outgoing_stream_l2_density_id
)
self.dataproductclient.activate_data_product_persistence(data_product_id=self.ctd_l2_density_output_dp_id)
# Retrieve the id of the OUTPUT stream from the out Data Product and add to granule logger
stream_ids, _ = self.rrclient.find_objects(self.ctd_l2_density_output_dp_id, PRED.hasStream, None, True)
pid = self.create_logger("ctd_l2_density", stream_ids[0])
self.loggerpids.append(pid)
def test_createTransformsThenActivateInstrument(self):
self.loggerpids = []
# -------------------------------------------------------------------------------------
# Create InstrumentModel
# -------------------------------------------------------------------------------------
instModel_id = self._create_instrument_model()
# -------------------------------------------------------------------------------------
# Create InstrumentAgent
# -------------------------------------------------------------------------------------
instAgent_id = self._create_instrument_agent(instModel_id)
# -------------------------------------------------------------------------------------
# Create InstrumentDevice
# -------------------------------------------------------------------------------------
instDevice_id = self._create_instrument_device(instModel_id)
# -------------------------------------------------------------------------------------
# Create Instrument Agent Instance
# -------------------------------------------------------------------------------------
instAgentInstance_id = self._create_instrument_agent_instance(instAgent_id, instDevice_id)
# -------------------------------------------------------------------------------------
# create a stream definition for the data from the ctd simulator
# -------------------------------------------------------------------------------------
self._create_param_dicts()
ctd_stream_def_id = self.pubsubclient.create_stream_definition(
name="SBE37_CDM", parameter_dictionary_id=self.pdict_id
)
# -------------------------------------------------------------------------------------
# Create two data products
# -------------------------------------------------------------------------------------
ctd_parsed_data_product = self._create_input_data_products(ctd_stream_def_id, instDevice_id)
# -------------------------------------------------------------------------------------
# Create data process definitions
# -------------------------------------------------------------------------------------
self._create_data_process_definitions()
# -------------------------------------------------------------------------------------
# L0 Conductivity - Temperature - Pressure: Output Data Products
# -------------------------------------------------------------------------------------
outgoing_stream_l0_conductivity_id, outgoing_stream_l0_pressure_id, outgoing_stream_l0_temperature_id = (
self._create_stream_definitions()
)
self.output_products = {}
self.output_products = self._create_l0_output_data_products(
outgoing_stream_l0_conductivity_id, outgoing_stream_l0_pressure_id, outgoing_stream_l0_temperature_id
)
self.outgoing_stream_l1_conductivity_id = self.pubsubclient.create_stream_definition(
name="L1_conductivity", parameter_dictionary_id=self.pdict_id
)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
self.outgoing_stream_l1_conductivity_id, self.ctd_L1_conductivity_dprocdef_id, binding="conductivity"
)
self.outgoing_stream_l1_pressure_id = self.pubsubclient.create_stream_definition(
name="L1_Pressure", parameter_dictionary_id=self.pdict_id
)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
self.outgoing_stream_l1_pressure_id, self.ctd_L1_pressure_dprocdef_id, binding="pressure"
)
self.outgoing_stream_l1_temperature_id = self.pubsubclient.create_stream_definition(
name="L1_Temperature", parameter_dictionary_id=self.pdict_id
)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
self.outgoing_stream_l1_temperature_id, self.ctd_L1_temperature_dprocdef_id, binding="temperature"
)
self._create_l1_out_data_products()
self._create_l2_out_data_products()
# -------------------------------------------------------------------------------------
# L0 Conductivity - Temperature - Pressure: Create the data process
# -------------------------------------------------------------------------------------
ctd_l0_all_data_process_id = self.dataprocessclient.create_data_process(
self.ctd_L0_all_dprocdef_id, [ctd_parsed_data_product], self.output_products
)
self.dataprocessclient.activate_data_process(ctd_l0_all_data_process_id)
# -------------------------------------------------------------------------------------
# L1 Conductivity: Create the data process
# -------------------------------------------------------------------------------------
l1_conductivity_data_process_id = self.dataprocessclient.create_data_process(
self.ctd_L1_conductivity_dprocdef_id,
[self.ctd_l0_conductivity_output_dp_id],
{"conductivity": self.ctd_l1_conductivity_output_dp_id},
)
self.dataprocessclient.activate_data_process(l1_conductivity_data_process_id)
# -------------------------------------------------------------------------------------
# L1 Pressure: Create the data process
# -------------------------------------------------------------------------------------
l1_pressure_data_process_id = self.dataprocessclient.create_data_process(
self.ctd_L1_pressure_dprocdef_id,
[self.ctd_l0_pressure_output_dp_id],
{"pressure": self.ctd_l1_pressure_output_dp_id},
)
self.dataprocessclient.activate_data_process(l1_pressure_data_process_id)
# -------------------------------------------------------------------------------------
# L1 Temperature: Create the data process
# -------------------------------------------------------------------------------------
l1_temperature_all_data_process_id = self.dataprocessclient.create_data_process(
self.ctd_L1_temperature_dprocdef_id,
[self.ctd_l0_temperature_output_dp_id],
{"temperature": self.ctd_l1_temperature_output_dp_id},
)
self.dataprocessclient.activate_data_process(l1_temperature_all_data_process_id)
# -------------------------------------------------------------------------------------
# L2 Salinity: Create the data process
# -------------------------------------------------------------------------------------
l2_salinity_all_data_process_id = self.dataprocessclient.create_data_process(
self.ctd_L2_salinity_dprocdef_id, [ctd_parsed_data_product], {"salinity": self.ctd_l2_salinity_output_dp_id}
)
self.dataprocessclient.activate_data_process(l2_salinity_all_data_process_id)
# -------------------------------------------------------------------------------------
# L2 Density: Create the data process
# -------------------------------------------------------------------------------------
l2_density_all_data_process_id = self.dataprocessclient.create_data_process(
self.ctd_L2_density_dprocdef_id, [ctd_parsed_data_product], {"density": self.ctd_l2_density_output_dp_id}
)
self.dataprocessclient.activate_data_process(l2_density_all_data_process_id)
# -------------------------------------------------------------------------------------
# Launch InstrumentAgentInstance, connect to the resource agent client
# -------------------------------------------------------------------------------------
self.imsclient.start_instrument_agent_instance(instrument_agent_instance_id=instAgentInstance_id)
self.addCleanup(
self.imsclient.stop_instrument_agent_instance, instrument_agent_instance_id=instAgentInstance_id
)
inst_agent_instance_obj = self.imsclient.read_instrument_agent_instance(instAgentInstance_id)
# Wait for instrument agent to spawn
gate = ProcessStateGate(
self.processdispatchclient.read_process, inst_agent_instance_obj.agent_process_id, ProcessStateEnum.RUNNING
)
self.assertTrue(gate.await(15), "The instrument agent instance did not spawn in 15 seconds")
# Start a resource agent client to talk with the instrument agent.
self._ia_client = ResourceAgentClient(
instDevice_id, to_name=inst_agent_instance_obj.agent_process_id, process=FakeProcess()
)
# -------------------------------------------------------------------------------------
# Streaming
# -------------------------------------------------------------------------------------
cmd = AgentCommand(command=ResourceAgentEvent.INITIALIZE)
reply = self._ia_client.execute_agent(cmd)
self.assertTrue(reply.status == 0)
cmd = AgentCommand(command=ResourceAgentEvent.GO_ACTIVE)
reply = self._ia_client.execute_agent(cmd)
self.assertTrue(reply.status == 0)
cmd = AgentCommand(command=ResourceAgentEvent.GET_RESOURCE_STATE)
retval = self._ia_client.execute_agent(cmd)
state = retval.result
log.debug("(L4-CI-SA-RQ-334): current state after sending go_active command %s", str(state))
self.assertTrue(state, "DRIVER_STATE_COMMAND")
cmd = AgentCommand(command=ResourceAgentEvent.RUN)
reply = self._ia_client.execute_agent(cmd)
self.assertTrue(reply.status == 0)
# todo ResourceAgentClient no longer has method set_param
# # Make sure the sampling rate and transmission are sane.
# params = {
# SBE37Parameter.NAVG : 1,
# SBE37Parameter.INTERVAL : 5,
# SBE37Parameter.TXREALTIME : True
# }
# self._ia_client.set_param(params)
# todo There is no ResourceAgentEvent attribute for go_streaming... so what should be the command for it?
cmd = AgentCommand(command=SBE37ProtocolEvent.START_AUTOSAMPLE)
retval = self._ia_client.execute_resource(cmd)
gevent.sleep(15)
cmd = AgentCommand(command=SBE37ProtocolEvent.STOP_AUTOSAMPLE)
retval = self._ia_client.execute_resource(cmd)
# todo There is no ResourceAgentEvent attribute for go_observatory... so what should be the command for it?
# log.debug("test_activateInstrumentStream: calling go_observatory")
# cmd = AgentCommand(command='go_observatory')
# reply = self._ia_client.execute_agent(cmd)
# cmd = AgentCommand(command='get_current_state')
# retval = self._ia_client.execute_agent(cmd)
# state = retval.result
# log.debug("test_activateInstrumentStream: return from go_observatory state %s", str(state))
cmd = AgentCommand(command=ResourceAgentEvent.RESET)
reply = self._ia_client.execute_agent(cmd)
self.assertTrue(reply.status == 0)
# -------------------------------------------------------------------------------------------------
# Cleanup processes
# -------------------------------------------------------------------------------------------------
for pid in self.loggerpids:
self.processdispatchclient.cancel_process(pid)
class TestActivateInstrumentIntegration(IonIntegrationTestCase):
def setUp(self):
# Start container
super(TestActivateInstrumentIntegration, self).setUp()
config = DotDict()
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml', config)
# Now create client to DataProductManagementService
self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
self.damsclient = DataAcquisitionManagementServiceClient(node=self.container.node)
self.pubsubcli = PubsubManagementServiceClient(node=self.container.node)
self.imsclient = InstrumentManagementServiceClient(node=self.container.node)
self.dpclient = DataProductManagementServiceClient(node=self.container.node)
self.datasetclient = DatasetManagementServiceClient(node=self.container.node)
self.processdispatchclient = ProcessDispatcherServiceClient(node=self.container.node)
self.dataprocessclient = DataProcessManagementServiceClient(node=self.container.node)
self.dataproductclient = DataProductManagementServiceClient(node=self.container.node)
self.dataretrieverclient = DataRetrieverServiceClient(node=self.container.node)
self.dataset_management = DatasetManagementServiceClient()
self.usernotificationclient = UserNotificationServiceClient()
#setup listerner vars
self._data_greenlets = []
self._no_samples = None
self._samples_received = []
self.event_publisher = EventPublisher()
def create_logger(self, name, stream_id=''):
# logger process
producer_definition = ProcessDefinition(name=name+'_logger')
producer_definition.executable = {
'module':'ion.processes.data.stream_granule_logger',
'class':'StreamGranuleLogger'
}
logger_procdef_id = self.processdispatchclient.create_process_definition(process_definition=producer_definition)
configuration = {
'process':{
'stream_id':stream_id,
}
}
pid = self.processdispatchclient.schedule_process(process_definition_id=logger_procdef_id,
configuration=configuration)
return pid
def _create_notification(self, user_name = '', instrument_id='', product_id=''):
#--------------------------------------------------------------------------------------
# Make notification request objects
#--------------------------------------------------------------------------------------
notification_request_1 = NotificationRequest( name= 'notification_1',
origin=instrument_id,
origin_type="instrument",
event_type='ResourceLifecycleEvent')
notification_request_2 = NotificationRequest( name='notification_2',
origin=product_id,
origin_type="data product",
event_type='DetectionEvent')
#--------------------------------------------------------------------------------------
# Create a user and get the user_id
#--------------------------------------------------------------------------------------
user = UserInfo()
user.name = user_name
user.contact.email = '*****@*****.**' % user_name
user_id, _ = self.rrclient.create(user)
#--------------------------------------------------------------------------------------
# Create notification
#--------------------------------------------------------------------------------------
self.usernotificationclient.create_notification(notification=notification_request_1, user_id=user_id)
self.usernotificationclient.create_notification(notification=notification_request_2, user_id=user_id)
log.debug( "test_activateInstrumentSample: create_user_notifications user_id %s", str(user_id) )
return user_id
def get_datastore(self, dataset_id):
dataset = self.datasetclient.read_dataset(dataset_id)
datastore_name = dataset.datastore_name
datastore = self.container.datastore_manager.get_datastore(datastore_name, DataStore.DS_PROFILE.SCIDATA)
return datastore
def _check_computed_attributes_of_extended_instrument(self, expected_instrument_device_id = '',extended_instrument = None):
# Verify that computed attributes exist for the extended instrument
self.assertIsInstance(extended_instrument.computed.last_data_received_datetime, ComputedFloatValue)
self.assertIsInstance(extended_instrument.computed.uptime, ComputedStringValue)
self.assertIsInstance(extended_instrument.computed.power_status_roll_up, ComputedIntValue)
self.assertIsInstance(extended_instrument.computed.communications_status_roll_up, ComputedIntValue)
self.assertIsInstance(extended_instrument.computed.data_status_roll_up, ComputedIntValue)
self.assertIsInstance(extended_instrument.computed.location_status_roll_up, ComputedIntValue)
# the following assert will not work without elasticsearch.
#self.assertEqual( 1, len(extended_instrument.computed.user_notification_requests.value) )
# Verify the computed attribute for user notification requests
self.assertEqual( 1, len(extended_instrument.computed.user_notification_requests.value) )
notifications = extended_instrument.computed.user_notification_requests.value
notification = notifications[0]
self.assertEqual(expected_instrument_device_id, notification.origin)
self.assertEqual("instrument", notification.origin_type)
self.assertEqual('ResourceLifecycleEvent', notification.event_type)
def _check_computed_attributes_of_extended_product(self, expected_data_product_id = '', extended_data_product = None):
self.assertEqual(expected_data_product_id, extended_data_product._id)
log.debug("extended_data_product.computed: %s", extended_data_product.computed)
# Verify that computed attributes exist for the extended instrument
self.assertIsInstance(extended_data_product.computed.product_download_size_estimated, ComputedFloatValue)
self.assertIsInstance(extended_data_product.computed.number_active_subscriptions, ComputedIntValue)
self.assertIsInstance(extended_data_product.computed.data_url, ComputedStringValue)
self.assertIsInstance(extended_data_product.computed.stored_data_size, ComputedIntValue)
self.assertIsInstance(extended_data_product.computed.recent_granules, ComputedDictValue)
self.assertIsInstance(extended_data_product.computed.parameters, ComputedListValue)
self.assertIsInstance(extended_data_product.computed.recent_events, ComputedEventListValue)
self.assertIsInstance(extended_data_product.computed.provenance, ComputedDictValue)
self.assertIsInstance(extended_data_product.computed.user_notification_requests, ComputedListValue)
self.assertIsInstance(extended_data_product.computed.active_user_subscriptions, ComputedListValue)
self.assertIsInstance(extended_data_product.computed.past_user_subscriptions, ComputedListValue)
self.assertIsInstance(extended_data_product.computed.last_granule, ComputedDictValue)
self.assertIsInstance(extended_data_product.computed.is_persisted, ComputedIntValue)
self.assertIsInstance(extended_data_product.computed.data_contents_updated, ComputedStringValue)
self.assertIsInstance(extended_data_product.computed.data_datetime, ComputedListValue)
# exact text here keeps changing to fit UI capabilities. keep assertion general...
self.assertEqual( 2, len(extended_data_product.computed.data_datetime.value) )
notifications = extended_data_product.computed.user_notification_requests.value
notification = notifications[0]
self.assertEqual(expected_data_product_id, notification.origin)
self.assertEqual("data product", notification.origin_type)
self.assertEqual('DetectionEvent', notification.event_type)
@attr('LOCOINT')
#@unittest.skip('refactoring')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False), 'Skip test while in CEI LAUNCH mode')
@patch.dict(CFG, {'endpoint':{'receive':{'timeout': 90}}})
def test_activateInstrumentSample(self):
self.loggerpids = []
# Create InstrumentModel
instModel_obj = IonObject(RT.InstrumentModel,
name='SBE37IMModel',
description="SBE37IMModel")
instModel_id = self.imsclient.create_instrument_model(instModel_obj)
log.debug( 'new InstrumentModel id = %s ', instModel_id)
raw_config = StreamConfiguration(stream_name='raw', parameter_dictionary_name='raw')
parsed_config = StreamConfiguration(stream_name='parsed', parameter_dictionary_name='ctd_parsed_param_dict')
# Create InstrumentAgent
instAgent_obj = IonObject(RT.InstrumentAgent,
name='agent007',
description="SBE37IMAgent",
driver_uri=DRV_URI_GOOD,
stream_configurations = [raw_config, parsed_config])
instAgent_id = self.imsclient.create_instrument_agent(instAgent_obj)
log.debug('new InstrumentAgent id = %s', instAgent_id)
self.imsclient.assign_instrument_model_to_instrument_agent(instModel_id, instAgent_id)
# Create InstrumentDevice
log.debug('test_activateInstrumentSample: Create instrument resource to represent the SBE37 (SA Req: L4-CI-SA-RQ-241) ')
instDevice_obj = IonObject(RT.InstrumentDevice,
name='SBE37IMDevice',
description="SBE37IMDevice",
serial_number="12345" )
instDevice_id = self.imsclient.create_instrument_device(instrument_device=instDevice_obj)
self.imsclient.assign_instrument_model_to_instrument_device(instModel_id, instDevice_id)
log.debug("test_activateInstrumentSample: new InstrumentDevice id = %s (SA Req: L4-CI-SA-RQ-241) " , instDevice_id)
port_agent_config = {
'device_addr': CFG.device.sbe37.host,
'device_port': CFG.device.sbe37.port,
'process_type': PortAgentProcessType.UNIX,
'binary_path': "port_agent",
'port_agent_addr': 'localhost',
'command_port': CFG.device.sbe37.port_agent_cmd_port,
'data_port': CFG.device.sbe37.port_agent_data_port,
'log_level': 5,
'type': PortAgentType.ETHERNET
}
instAgentInstance_obj = IonObject(RT.InstrumentAgentInstance, name='SBE37IMAgentInstance',
description="SBE37IMAgentInstance",
port_agent_config = port_agent_config,
alerts= [])
instAgentInstance_id = self.imsclient.create_instrument_agent_instance(instAgentInstance_obj,
instAgent_id,
instDevice_id)
tdom, sdom = time_series_domain()
sdom = sdom.dump()
tdom = tdom.dump()
parsed_pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
parsed_stream_def_id = self.pubsubcli.create_stream_definition(name='parsed', parameter_dictionary_id=parsed_pdict_id)
raw_pdict_id = self.dataset_management.read_parameter_dictionary_by_name('raw', id_only=True)
raw_stream_def_id = self.pubsubcli.create_stream_definition(name='raw', parameter_dictionary_id=raw_pdict_id)
#-------------------------------
# Create Raw and Parsed Data Products for the device
#-------------------------------
dp_obj = IonObject(RT.DataProduct,
name='the parsed data',
description='ctd stream test',
temporal_domain = tdom,
spatial_domain = sdom)
data_product_id1 = self.dpclient.create_data_product(data_product=dp_obj, stream_definition_id=parsed_stream_def_id)
log.debug( 'new dp_id = %s' , data_product_id1)
self.dpclient.activate_data_product_persistence(data_product_id=data_product_id1)
self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=data_product_id1)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(data_product_id1, PRED.hasStream, None, True)
log.debug('Data product streams1 = %s', stream_ids)
# Retrieve the id of the OUTPUT stream from the out Data Product
dataset_ids, _ = self.rrclient.find_objects(data_product_id1, PRED.hasDataset, RT.Dataset, True)
log.debug('Data set for data_product_id1 = %s' , dataset_ids[0])
self.parsed_dataset = dataset_ids[0]
pid = self.create_logger('ctd_parsed', stream_ids[0] )
self.loggerpids.append(pid)
dp_obj = IonObject(RT.DataProduct,
name='the raw data',
description='raw stream test',
temporal_domain = tdom,
spatial_domain = sdom)
data_product_id2 = self.dpclient.create_data_product(data_product=dp_obj, stream_definition_id=raw_stream_def_id)
log.debug('new dp_id = %s', data_product_id2)
self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=data_product_id2)
self.dpclient.activate_data_product_persistence(data_product_id=data_product_id2)
# setup notifications for the device and parsed data product
user_id_1 = self._create_notification( user_name='user_1', instrument_id=instDevice_id, product_id=data_product_id1)
#---------- Create notifications for another user and verify that we see different computed subscriptions for the two users ---------
user_id_2 = self._create_notification( user_name='user_2', instrument_id=instDevice_id, product_id=data_product_id2)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(data_product_id2, PRED.hasStream, None, True)
log.debug('Data product streams2 = %s' , str(stream_ids))
# Retrieve the id of the OUTPUT stream from the out Data Product
dataset_ids, _ = self.rrclient.find_objects(data_product_id2, PRED.hasDataset, RT.Dataset, True)
log.debug('Data set for data_product_id2 = %s' , dataset_ids[0])
self.raw_dataset = dataset_ids[0]
def start_instrument_agent():
self.imsclient.start_instrument_agent_instance(instrument_agent_instance_id=instAgentInstance_id)
gevent.joinall([gevent.spawn(start_instrument_agent)])
#cleanup
self.addCleanup(self.imsclient.stop_instrument_agent_instance,
instrument_agent_instance_id=instAgentInstance_id)
#wait for start
inst_agent_instance_obj = self.imsclient.read_instrument_agent_instance(instAgentInstance_id)
gate = AgentProcessStateGate(self.processdispatchclient.read_process,
instDevice_id,
ProcessStateEnum.RUNNING)
self.assertTrue(gate.await(30), "The instrument agent instance (%s) did not spawn in 30 seconds" %
gate.process_id)
#log.trace('Instrument agent instance obj: = %s' , str(inst_agent_instance_obj))
# Start a resource agent client to talk with the instrument agent.
self._ia_client = ResourceAgentClient(instDevice_id,
to_name=gate.process_id,
process=FakeProcess())
log.debug("test_activateInstrumentSample: got ia client %s" , str(self._ia_client))
cmd = AgentCommand(command=ResourceAgentEvent.INITIALIZE)
retval = self._ia_client.execute_agent(cmd)
log.debug("test_activateInstrumentSample: initialize %s" , str(retval))
state = self._ia_client.get_agent_state()
self.assertEqual(ResourceAgentState.INACTIVE, state)
log.debug("(L4-CI-SA-RQ-334): Sending go_active command ")
cmd = AgentCommand(command=ResourceAgentEvent.GO_ACTIVE)
reply = self._ia_client.execute_agent(cmd)
log.debug("test_activateInstrument: return value from go_active %s" , str(reply))
state = self._ia_client.get_agent_state()
self.assertEqual(ResourceAgentState.IDLE, state)
cmd = AgentCommand(command=ResourceAgentEvent.GET_RESOURCE_STATE)
retval = self._ia_client.execute_agent(cmd)
state = retval.result
log.debug("(L4-CI-SA-RQ-334): current state after sending go_active command %s" , str(state))
cmd = AgentCommand(command=ResourceAgentEvent.RUN)
reply = self._ia_client.execute_agent(cmd)
log.debug("test_activateInstrumentSample: run %s" , str(reply))
state = self._ia_client.get_agent_state()
self.assertEqual(ResourceAgentState.COMMAND, state)
cmd = AgentCommand(command=ResourceAgentEvent.PAUSE)
retval = self._ia_client.execute_agent(cmd)
state = self._ia_client.get_agent_state()
self.assertEqual(ResourceAgentState.STOPPED, state)
cmd = AgentCommand(command=ResourceAgentEvent.RESUME)
retval = self._ia_client.execute_agent(cmd)
state = self._ia_client.get_agent_state()
self.assertEqual(ResourceAgentState.COMMAND, state)
cmd = AgentCommand(command=ResourceAgentEvent.CLEAR)
retval = self._ia_client.execute_agent(cmd)
state = self._ia_client.get_agent_state()
self.assertEqual(ResourceAgentState.IDLE, state)
cmd = AgentCommand(command=ResourceAgentEvent.RUN)
retval = self._ia_client.execute_agent(cmd)
state = self._ia_client.get_agent_state()
self.assertEqual(ResourceAgentState.COMMAND, state)
for i in xrange(10):
monitor = DatasetMonitor(dataset_id=self.parsed_dataset)
self._ia_client.execute_resource(AgentCommand(command=SBE37ProtocolEvent.ACQUIRE_SAMPLE))
if not monitor.wait():
raise AssertionError('Failed on the %ith granule' % i)
monitor.stop()
# cmd = AgentCommand(command=SBE37ProtocolEvent.ACQUIRE_SAMPLE)
# for i in xrange(10):
# retval = self._ia_client.execute_resource(cmd)
# log.debug("test_activateInstrumentSample: return from sample %s" , str(retval))
log.debug( "test_activateInstrumentSample: calling reset ")
cmd = AgentCommand(command=ResourceAgentEvent.RESET)
reply = self._ia_client.execute_agent(cmd)
log.debug("test_activateInstrumentSample: return from reset %s" , str(reply))
#--------------------------------------------------------------------------------
# Now get the data in one chunk using an RPC Call to start_retreive
#--------------------------------------------------------------------------------
replay_data_raw = self.dataretrieverclient.retrieve(self.raw_dataset)
self.assertIsInstance(replay_data_raw, Granule)
rdt_raw = RecordDictionaryTool.load_from_granule(replay_data_raw)
log.debug("RDT raw: %s", str(rdt_raw.pretty_print()) )
self.assertIn('raw', rdt_raw)
raw_vals = rdt_raw['raw']
all_raw = "".join(raw_vals)
# look for 't' entered after a prompt -- ">t"
t_commands = all_raw.count(">t")
if 10 != t_commands:
log.error("%s raw_vals: ", len(raw_vals))
for i, r in enumerate(raw_vals): log.error("raw val %s: %s", i, [r])
self.fail("Expected 10 't' strings in raw_vals, got %s" % t_commands)
else:
log.debug("%s raw_vals: ", len(raw_vals))
for i, r in enumerate(raw_vals): log.debug("raw val %s: %s", i, [r])
replay_data_parsed = self.dataretrieverclient.retrieve(self.parsed_dataset)
self.assertIsInstance(replay_data_parsed, Granule)
rdt_parsed = RecordDictionaryTool.load_from_granule(replay_data_parsed)
log.debug("test_activateInstrumentSample: RDT parsed: %s", str(rdt_parsed.pretty_print()) )
self.assertIn('temp', rdt_parsed)
temp_vals = rdt_parsed['temp']
pressure_vals = rdt_parsed['pressure']
if 10 != len(temp_vals):
log.error("%s temp_vals: %s", len(temp_vals), temp_vals)
self.fail("Expected 10 temp_vals, got %s" % len(temp_vals))
log.debug("l4-ci-sa-rq-138")
"""
Physical resource control shall be subject to policy
Instrument management control capabilities shall be subject to policy
The actor accessing the control capabilities must be authorized to send commands.
note from maurice 2012-05-18: Talk to tim M to verify that this is policy. If it is then talk with Stephen to
get an example of a policy test and use that to create a test stub that will be
completed when we have instrument policies.
Tim M: The "actor", aka observatory operator, will access the instrument through ION.
"""
#--------------------------------------------------------------------------------
# Get the extended data product to see if it contains the granules
#--------------------------------------------------------------------------------
extended_product = self.dpclient.get_data_product_extension(data_product_id=data_product_id1, user_id=user_id_1)
def poller(extended_product):
return len(extended_product.computed.user_notification_requests.value) == 1
poll(poller, extended_product, timeout=30)
self._check_computed_attributes_of_extended_product( expected_data_product_id = data_product_id1, extended_data_product = extended_product)
#--------------------------------------------------------------------------------
# Get the extended instrument
#--------------------------------------------------------------------------------
extended_instrument = self.imsclient.get_instrument_device_extension(instrument_device_id=instDevice_id, user_id=user_id_1)
#--------------------------------------------------------------------------------
# For the second user, check the extended data product and the extended intrument
#--------------------------------------------------------------------------------
extended_product = self.dpclient.get_data_product_extension(data_product_id=data_product_id2, user_id=user_id_2)
self._check_computed_attributes_of_extended_product(expected_data_product_id = data_product_id2, extended_data_product = extended_product)
#--------------------------------------------------------------------------------
# Get the extended instrument
#--------------------------------------------------------------------------------
extended_instrument = self.imsclient.get_instrument_device_extension(instrument_device_id=instDevice_id, user_id=user_id_2)
self._check_computed_attributes_of_extended_instrument(expected_instrument_device_id = instDevice_id, extended_instrument = extended_instrument)
#--------------------------------------------------------------------------------
# Deactivate loggers
#--------------------------------------------------------------------------------
for pid in self.loggerpids:
self.processdispatchclient.cancel_process(pid)
self.dpclient.delete_data_product(data_product_id1)
self.dpclient.delete_data_product(data_product_id2)
def test_usgs_integration(self):
'''
test_usgs_integration
Test full DM Services Integration using usgs
'''
cc = self.container
assertions = self.assertTrue
#-----------------------------
# Copy below here
#-----------------------------
pubsub_management_service = PubsubManagementServiceClient(node=cc.node)
ingestion_management_service = IngestionManagementServiceClient(node=cc.node)
dataset_management_service = DatasetManagementServiceClient(node=cc.node)
data_retriever_service = DataRetrieverServiceClient(node=cc.node)
transform_management_service = TransformManagementServiceClient(node=cc.node)
process_dispatcher = ProcessDispatcherServiceClient(node=cc.node)
process_list = []
datasets = []
datastore_name = 'test_usgs_integration'
#---------------------------
# Set up ingestion
#---------------------------
# Configure ingestion using eight workers, ingesting to test_dm_integration datastore with the SCIDATA profile
log.debug('Calling create_ingestion_configuration')
ingestion_configuration_id = ingestion_management_service.create_ingestion_configuration(
exchange_point_id='science_data',
couch_storage=CouchStorage(datastore_name=datastore_name,datastore_profile='SCIDATA'),
number_of_workers=8
)
#
ingestion_management_service.activate_ingestion_configuration(
ingestion_configuration_id=ingestion_configuration_id)
usgs_stream_def = USGS_stream_definition()
stream_def_id = pubsub_management_service.create_stream_definition(container=usgs_stream_def, name='Junk definition')
#---------------------------
# Set up the producers (CTD Simulators)
#---------------------------
# Launch five simulated CTD producers
for iteration in xrange(2):
# Make a stream to output on
stream_id = pubsub_management_service.create_stream(stream_definition_id=stream_def_id)
#---------------------------
# Set up the datasets
#---------------------------
dataset_id = dataset_management_service.create_dataset(
stream_id=stream_id,
datastore_name=datastore_name,
view_name='datasets/stream_join_granule'
)
# Keep track of the datasets
datasets.append(dataset_id)
stream_policy_id = ingestion_management_service.create_dataset_configuration(
dataset_id = dataset_id,
archive_data = True,
archive_metadata = True,
ingestion_configuration_id = ingestion_configuration_id
)
producer_definition = ProcessDefinition()
producer_definition.executable = {
'module':'ion.agents.eoi.handler.usgs_stream_publisher',
'class':'UsgsPublisher'
}
configuration = {
'process':{
'stream_id':stream_id,
}
}
procdef_id = process_dispatcher.create_process_definition(process_definition=producer_definition)
log.debug('LUKE_DEBUG: procdef_id: %s', procdef_id)
pid = process_dispatcher.schedule_process(process_definition_id=procdef_id, configuration=configuration)
# Keep track, we'll kill 'em later.
process_list.append(pid)
# Get about 4 seconds of data
time.sleep(4)
#---------------------------
# Stop producing data
#---------------------------
for process in process_list:
process_dispatcher.cancel_process(process)
#----------------------------------------------
# The replay and the transform, a love story.
#----------------------------------------------
# Happy Valentines to the clever coder who catches the above!
transform_definition = ProcessDefinition()
transform_definition.executable = {
'module':'ion.processes.data.transforms.transform_example',
'class':'TransformCapture'
}
transform_definition_id = process_dispatcher.create_process_definition(process_definition=transform_definition)
dataset_id = datasets.pop() # Just need one for now
replay_id, stream_id = data_retriever_service.define_replay(dataset_id=dataset_id)
#--------------------------------------------
# I'm Selling magazine subscriptions here!
#--------------------------------------------
subscription = pubsub_management_service.create_subscription(query=StreamQuery(stream_ids=[stream_id]),
exchange_name='transform_capture_point')
#--------------------------------------------
# Start the transform (capture)
#--------------------------------------------
transform_id = transform_management_service.create_transform(
name='capture_transform',
in_subscription_id=subscription,
process_definition_id=transform_definition_id
)
transform_management_service.activate_transform(transform_id=transform_id)
#--------------------------------------------
# BEGIN REPLAY!
#--------------------------------------------
data_retriever_service.start_replay(replay_id=replay_id)
#--------------------------------------------
# Lets get some boundaries
#--------------------------------------------
bounds = dataset_management_service.get_dataset_bounds(dataset_id=dataset_id)
class TestWorkflowManagementIntegration(IonIntegrationTestCase):
def setUp(self):
# Start container
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
# Now create client to DataProductManagementService
self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
self.damsclient = DataAcquisitionManagementServiceClient(
node=self.container.node)
self.pubsubclient = PubsubManagementServiceClient(
node=self.container.node)
self.ingestclient = IngestionManagementServiceClient(
node=self.container.node)
self.imsclient = InstrumentManagementServiceClient(
node=self.container.node)
self.dataproductclient = DataProductManagementServiceClient(
node=self.container.node)
self.dataprocessclient = DataProcessManagementServiceClient(
node=self.container.node)
self.datasetclient = DatasetManagementServiceClient(
node=self.container.node)
self.workflowclient = WorkflowManagementServiceClient(
node=self.container.node)
self.process_dispatcher = ProcessDispatcherServiceClient(
node=self.container.node)
self.ctd_stream_def = SBE37_CDM_stream_definition()
def _create_ctd_input_stream_and_data_product(
self, data_product_name='ctd_parsed'):
cc = self.container
assertions = self.assertTrue
#-------------------------------
# Create CTD Parsed as the initial data product
#-------------------------------
# create a stream definition for the data from the ctd simulator
ctd_stream_def = SBE37_CDM_stream_definition()
ctd_stream_def_id = self.pubsubclient.create_stream_definition(
container=self.ctd_stream_def, name='Simulated CTD data')
log.debug('Creating new CDM data product with a stream definition')
dp_obj = IonObject(RT.DataProduct,
name=data_product_name,
description='ctd stream test')
try:
ctd_parsed_data_product_id = self.dataproductclient.create_data_product(
dp_obj, ctd_stream_def_id)
except Exception as ex:
self.fail("failed to create new data product: %s" % ex)
log.debug('new ctd_parsed_data_product_id = ',
ctd_parsed_data_product_id)
#Only ever need one device for testing purposes.
instDevice_obj, _ = self.rrclient.find_resources(
restype=RT.InstrumentDevice, name='SBE37IMDevice')
if instDevice_obj:
instDevice_id = instDevice_obj[0]._id
else:
instDevice_obj = IonObject(RT.InstrumentDevice,
name='SBE37IMDevice',
description="SBE37IMDevice",
serial_number="12345")
instDevice_id = self.imsclient.create_instrument_device(
instrument_device=instDevice_obj)
self.damsclient.assign_data_product(
input_resource_id=instDevice_id,
data_product_id=ctd_parsed_data_product_id)
self.dataproductclient.activate_data_product_persistence(
data_product_id=ctd_parsed_data_product_id,
persist_data=False,
persist_metadata=False)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(ctd_parsed_data_product_id,
PRED.hasStream, None, True)
assertions(len(stream_ids) > 0)
ctd_stream_id = stream_ids[0]
return ctd_stream_id, ctd_parsed_data_product_id
def _start_simple_input_stream_process(self, ctd_stream_id):
return self._start_input_stream_process(ctd_stream_id)
def _start_sinusoidal_input_stream_process(self, ctd_stream_id):
return self._start_input_stream_process(
ctd_stream_id, 'ion.processes.data.sinusoidal_stream_publisher',
'SinusoidalCtdPublisher')
def _start_input_stream_process(
self,
ctd_stream_id,
module='ion.processes.data.ctd_stream_publisher',
class_name='SimpleCtdPublisher'):
###
### Start the process for producing the CTD data
###
# process definition for the ctd simulator...
producer_definition = ProcessDefinition()
producer_definition.executable = {
'module': module,
'class': class_name
}
ctd_sim_procdef_id = self.process_dispatcher.create_process_definition(
process_definition=producer_definition)
# Start the ctd simulator to produce some data
configuration = {
'process': {
'stream_id': ctd_stream_id,
}
}
ctd_sim_pid = self.process_dispatcher.schedule_process(
process_definition_id=ctd_sim_procdef_id,
configuration=configuration)
return ctd_sim_pid
def _start_output_stream_listener(self,
data_product_stream_ids,
message_count_per_stream=10):
cc = self.container
assertions = self.assertTrue
###
### Make a subscriber in the test to listen for transformed data
###
salinity_subscription_id = self.pubsubclient.create_subscription(
query=StreamQuery(data_product_stream_ids),
exchange_name='workflow_test',
name="test workflow transformations",
)
pid = cc.spawn_process(name='dummy_process_for_test',
module='pyon.ion.process',
cls='SimpleProcess',
config={})
dummy_process = cc.proc_manager.procs[pid]
subscriber_registrar = StreamSubscriberRegistrar(process=dummy_process,
node=cc.node)
result = gevent.event.AsyncResult()
results = []
def message_received(message, headers):
# Heads
log.warn(' data received!')
results.append(message)
if len(results) >= len(
data_product_stream_ids
) * message_count_per_stream: #Only wait for so many messages - per stream
result.set(True)
subscriber = subscriber_registrar.create_subscriber(
exchange_name='workflow_test', callback=message_received)
subscriber.start()
# after the queue has been created it is safe to activate the subscription
self.pubsubclient.activate_subscription(
subscription_id=salinity_subscription_id)
# Assert that we have received data
assertions(result.get(timeout=30))
self.pubsubclient.deactivate_subscription(
subscription_id=salinity_subscription_id)
subscriber.stop()
return results
def _validate_messages(self, results):
cc = self.container
assertions = self.assertTrue
first_salinity_values = None
for message in results:
try:
psd = PointSupplementStreamParser(
stream_definition=self.ctd_stream_def,
stream_granule=message)
temp = psd.get_values('temperature')
log.info(psd.list_field_names())
except KeyError as ke:
temp = None
if temp is not None:
assertions(isinstance(temp, numpy.ndarray))
log.info('temperature=' + str(numpy.nanmin(temp)))
first_salinity_values = None
else:
psd = PointSupplementStreamParser(
stream_definition=SalinityTransform.outgoing_stream_def,
stream_granule=message)
log.info(psd.list_field_names())
# Test the handy info method for the names of fields in the stream def
assertions('salinity' in psd.list_field_names())
# you have to know the name of the coverage in stream def
salinity = psd.get_values('salinity')
log.info('salinity=' + str(numpy.nanmin(salinity)))
assertions(isinstance(salinity, numpy.ndarray))
assertions(numpy.nanmin(salinity) >
0.0) # salinity should always be greater than 0
if first_salinity_values is None:
first_salinity_values = salinity.tolist()
else:
second_salinity_values = salinity.tolist()
assertions(
len(first_salinity_values) == len(
second_salinity_values))
for idx in range(0, len(first_salinity_values)):
assertions(first_salinity_values[idx] *
2.0 == second_salinity_values[idx])
def _create_salinity_data_process_definition(self):
# Salinity: Data Process Definition
#First look to see if it exists and if not, then create it
dpd, _ = self.rrclient.find_resources(restype=RT.DataProcessDefinition,
name='ctd_salinity')
if len(dpd) > 0:
return dpd[0]
log.debug("Create data process definition SalinityTransform")
dpd_obj = IonObject(
RT.DataProcessDefinition,
name='ctd_salinity',
description='create a salinity data product',
module='ion.processes.data.transforms.ctd.ctd_L2_salinity',
class_name='SalinityTransform',
process_source='SalinityTransform source code here...')
try:
ctd_L2_salinity_dprocdef_id = self.dataprocessclient.create_data_process_definition(
dpd_obj)
except Excpetion as ex:
self.fail(
"failed to create new SalinityTransform data process definition: %s"
% ex)
# create a stream definition for the data from the salinity Transform
sal_stream_def_id = self.pubsubclient.create_stream_definition(
container=SalinityTransform.outgoing_stream_def, name='Salinity')
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
sal_stream_def_id, ctd_L2_salinity_dprocdef_id)
return ctd_L2_salinity_dprocdef_id
def _create_salinity_doubler_data_process_definition(self):
#First look to see if it exists and if not, then create it
dpd, _ = self.rrclient.find_resources(restype=RT.DataProcessDefinition,
name='salinity_doubler')
if len(dpd) > 0:
return dpd[0]
# Salinity Doubler: Data Process Definition
log.debug("Create data process definition SalinityDoublerTransform")
dpd_obj = IonObject(
RT.DataProcessDefinition,
name='salinity_doubler',
description='create a salinity doubler data product',
module='ion.processes.data.transforms.example_double_salinity',
class_name='SalinityDoubler',
process_source='SalinityDoubler source code here...')
try:
salinity_doubler_dprocdef_id = self.dataprocessclient.create_data_process_definition(
dpd_obj)
except Exception as ex:
self.fail(
"failed to create new SalinityDoubler data process definition: %s"
% ex)
# create a stream definition for the data from the salinity Transform
salinity_double_stream_def_id = self.pubsubclient.create_stream_definition(
container=SalinityDoubler.outgoing_stream_def,
name='SalinityDoubler')
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
salinity_double_stream_def_id, salinity_doubler_dprocdef_id)
return salinity_doubler_dprocdef_id
def create_transform_process(self, data_process_definition_id,
data_process_input_dp_id):
data_process_definition = self.rrclient.read(
data_process_definition_id)
# Find the link between the output Stream Definition resource and the Data Process Definition resource
stream_ids, _ = self.rrclient.find_objects(data_process_definition._id,
PRED.hasStreamDefinition,
RT.StreamDefinition,
id_only=True)
if not stream_ids:
raise Inconsistent(
"The data process definition %s is missing an association to an output stream definition"
% data_process_definition._id)
process_output_stream_def_id = stream_ids[0]
#Concatenate the name of the workflow and data process definition for the name of the data product output
data_process_name = data_process_definition.name
# Create the output data product of the transform
transform_dp_obj = IonObject(
RT.DataProduct,
name=data_process_name,
description=data_process_definition.description)
transform_dp_id = self.dataproductclient.create_data_product(
transform_dp_obj, process_output_stream_def_id)
self.dataproductclient.activate_data_product_persistence(
data_product_id=transform_dp_id,
persist_data=True,
persist_metadata=True)
#last one out of the for loop is the output product id
output_data_product_id = transform_dp_id
# Create the transform data process
log.debug("create data_process and start it")
data_process_id = self.dataprocessclient.create_data_process(
data_process_definition._id, [data_process_input_dp_id],
{'output': transform_dp_id})
self.dataprocessclient.activate_data_process(data_process_id)
#Find the id of the output data stream
stream_ids, _ = self.rrclient.find_objects(transform_dp_id,
PRED.hasStream, None, True)
if not stream_ids:
raise Inconsistent(
"The data process %s is missing an association to an output stream"
% data_process_id)
return data_process_id, output_data_product_id
@attr('LOCOINT')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),
'Not integrated for CEI')
#@unittest.skip("Skipping for debugging ")
def test_SA_transform_components(self):
assertions = self.assertTrue
#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)
###
### Setup the first transformation
###
# Salinity: Data Process Definition
ctd_L2_salinity_dprocdef_id = self._create_salinity_data_process_definition(
)
l2_salinity_all_data_process_id, ctd_l2_salinity_output_dp_id = self.create_transform_process(
ctd_L2_salinity_dprocdef_id, ctd_parsed_data_product_id)
## get the stream id for the transform outputs
stream_ids, _ = self.rrclient.find_objects(
ctd_l2_salinity_output_dp_id, PRED.hasStream, None, True)
assertions(len(stream_ids) > 0)
sal_stream_id = stream_ids[0]
data_product_stream_ids.append(sal_stream_id)
###
### Setup the second transformation
###
# Salinity Doubler: Data Process Definition
salinity_doubler_dprocdef_id = self._create_salinity_doubler_data_process_definition(
)
salinity_double_data_process_id, salinity_doubler_output_dp_id = self.create_transform_process(
salinity_doubler_dprocdef_id, ctd_l2_salinity_output_dp_id)
stream_ids, _ = self.rrclient.find_objects(
salinity_doubler_output_dp_id, PRED.hasStream, None, True)
assertions(len(stream_ids) > 0)
sal_dbl_stream_id = stream_ids[0]
data_product_stream_ids.append(sal_dbl_stream_id)
#Start the input stream process
ctd_sim_pid = self._start_simple_input_stream_process(ctd_stream_id)
#Start te output stream listener to monitor and verify messages
results = self._start_output_stream_listener(data_product_stream_ids)
#Stop the transform processes
self.dataprocessclient.deactivate_data_process(
salinity_double_data_process_id)
self.dataprocessclient.deactivate_data_process(
l2_salinity_all_data_process_id)
# stop the flow parse the messages...
self.process_dispatcher.cancel_process(
ctd_sim_pid
) # kill the ctd simulator process - that is enough data
#Validate the data from each of the messages along the way
self._validate_messages(results)
@attr('LOCOINT')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),
'Not integrated for CEI')
#@unittest.skip("Skipping for debugging ")
def test_transform_workflow(self):
assertions = self.assertTrue
# Build the workflow definition
workflow_def_obj = IonObject(
RT.WorkflowDefinition,
name='Salinity_Test_Workflow',
description='tests a workflow of multiple transform data processes'
)
workflow_data_product_name = 'TEST-Workflow_Output_Product' #Set a specific output product name
#Add a transformation process definition
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
workflow_def_obj.workflow_steps.append(workflow_step_obj)
#Add a transformation process definition
salinity_doubler_dprocdef_id = self._create_salinity_doubler_data_process_definition(
)
workflow_step_obj = IonObject(
'DataProcessWorkflowStep',
data_process_definition_id=salinity_doubler_dprocdef_id,
output_data_product_name=workflow_data_product_name)
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) == 2)
#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)
#Verify the output data product name matches what was specified in the workflow definition
workflow_product = self.rrclient.read(workflow_product_id)
assertions(workflow_product.name == workflow_data_product_name)
#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) == 2)
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])
#Start the input stream process
ctd_sim_pid = self._start_simple_input_stream_process(ctd_stream_id)
#Start the output stream listener to monitor and verify messages
results = self._start_output_stream_listener(data_product_stream_ids)
#Stop the workflow processes
self.workflowclient.terminate_data_process_workflow(
workflow_id, False, timeout=15) # Should test true at some point
#Make sure the Workflow object was removed
objs, _ = self.rrclient.find_resources(restype=RT.Workflow)
assertions(len(objs) == 0)
# stop the flow parse the messages...
self.process_dispatcher.cancel_process(
ctd_sim_pid
) # kill the ctd simulator process - that is enough data
#Validate the data from each of the messages along the way
self._validate_messages(results)
#Cleanup to make sure delete is correct.
self.workflowclient.delete_workflow_definition(workflow_def_id)
workflow_def_ids, _ = self.rrclient.find_resources(
restype=RT.WorkflowDefinition)
assertions(len(workflow_def_ids) == 0)
def _create_google_dt_data_process_definition(self):
#First look to see if it exists and if not, then create it
dpd, _ = self.rrclient.find_resources(restype=RT.DataProcessDefinition,
name='google_dt_transform')
if len(dpd) > 0:
return dpd[0]
# Data Process Definition
log.debug("Create data process definition GoogleDtTransform")
dpd_obj = IonObject(
RT.DataProcessDefinition,
name='google_dt_transform',
description='Convert data streams to Google DataTables',
module='ion.processes.data.transforms.viz.google_dt',
class_name='VizTransformGoogleDT',
process_source='VizTransformGoogleDT source code here...')
try:
procdef_id = self.dataprocessclient.create_data_process_definition(
dpd_obj)
except Exception as ex:
self.fail(
"failed to create new VizTransformGoogleDT data process definition: %s"
% ex)
# create a stream definition for the data from the
stream_def_id = self.pubsubclient.create_stream_definition(
container=VizTransformGoogleDT.outgoing_stream_def,
name='VizTransformGoogleDT')
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
stream_def_id, procdef_id)
return procdef_id
def _validate_google_dt_results(self, results_stream_def, results):
cc = self.container
assertions = self.assertTrue
for g in results:
if isinstance(g, Granule):
tx = TaxyTool.load_from_granule(g)
rdt = RecordDictionaryTool.load_from_granule(g)
#log.warn(tx.pretty_print())
#log.warn(rdt.pretty_print())
gdt_component = rdt['google_dt_components'][0]
assertions(
gdt_component['viz_product_type'] == 'google_realtime_dt')
gdt_description = gdt_component['data_table_description']
gdt_content = gdt_component['data_table_content']
assertions(gdt_description[0][0] == 'time')
assertions(len(gdt_description) > 1)
assertions(len(gdt_content) >= 0)
return
def _create_mpl_graphs_data_process_definition(self):
#First look to see if it exists and if not, then create it
dpd, _ = self.rrclient.find_resources(restype=RT.DataProcessDefinition,
name='mpl_graphs_transform')
if len(dpd) > 0:
return dpd[0]
#Data Process Definition
log.debug("Create data process definition MatplotlibGraphsTransform")
dpd_obj = IonObject(
RT.DataProcessDefinition,
name='mpl_graphs_transform',
description='Convert data streams to Matplotlib graphs',
module='ion.processes.data.transforms.viz.matplotlib_graphs',
class_name='VizTransformMatplotlibGraphs',
process_source='VizTransformMatplotlibGraphs source code here...')
try:
procdef_id = self.dataprocessclient.create_data_process_definition(
dpd_obj)
except Exception as ex:
self.fail(
"failed to create new VizTransformMatplotlibGraphs data process definition: %s"
% ex)
# create a stream definition for the data
stream_def_id = self.pubsubclient.create_stream_definition(
container=VizTransformMatplotlibGraphs.outgoing_stream_def,
name='VizTransformMatplotlibGraphs')
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
stream_def_id, procdef_id)
return procdef_id
def _validate_mpl_graphs_results(self, results_stream_def, results):
cc = self.container
assertions = self.assertTrue
for g in results:
if isinstance(g, Granule):
tx = TaxyTool.load_from_granule(g)
rdt = RecordDictionaryTool.load_from_granule(g)
#log.warn(tx.pretty_print())
#log.warn(rdt.pretty_print())
graphs = rdt['matplotlib_graphs']
for graph in graphs:
assertions(
graph['viz_product_type'] == 'matplotlib_graphs')
# check to see if the list (numpy array) contians actual images
assertions(
imghdr.what(graph['image_name'], graph['image_obj']) ==
'png')
return
@attr('LOCOINT')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),
'Not integrated for CEI')
#unittest.skip("Skipping for debugging ")
def test_google_dt_transform_workflow(self):
assertions = self.assertTrue
# Build the workflow definition
workflow_def_obj = IonObject(
RT.WorkflowDefinition,
name='GoogleDT_Test_Workflow',
description=
'Tests the workflow of converting stream data to Google DT')
#Add a transformation process definition
google_dt_procdef_id = self._create_google_dt_data_process_definition()
workflow_step_obj = IonObject(
'DataProcessWorkflowStep',
data_process_definition_id=google_dt_procdef_id)
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)
#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)
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])
#Start the input stream process
ctd_sim_pid = self._start_simple_input_stream_process(ctd_stream_id)
#Start the output stream listener to monitor and verify messages
results = self._start_output_stream_listener(data_product_stream_ids)
#Stop the workflow processes
self.workflowclient.terminate_data_process_workflow(
workflow_id, False) # Should test true at some point
# stop the flow parse the messages...
self.process_dispatcher.cancel_process(
ctd_sim_pid
) # kill the ctd simulator process - that is enough data
#Validate the data from each of the messages along the way
self._validate_google_dt_results(
VizTransformGoogleDT.outgoing_stream_def, results)
#Cleanup to make sure delete is correct.
self.workflowclient.delete_workflow_definition(workflow_def_id)
workflow_def_ids, _ = self.rrclient.find_resources(
restype=RT.WorkflowDefinition)
assertions(len(workflow_def_ids) == 0)
@attr('LOCOINT')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),
'Not integrated for CEI')
#@unittest.skip("Skipping for debugging ")
def test_mpl_graphs_transform_workflow(self):
assertions = self.assertTrue
# Build the workflow definition
workflow_def_obj = IonObject(
RT.WorkflowDefinition,
name='Mpl_Graphs_Test_Workflow',
description=
'Tests the workflow of converting stream data to Matplotlib graphs'
)
#Add a transformation process definition
mpl_graphs_procdef_id = self._create_mpl_graphs_data_process_definition(
)
workflow_step_obj = IonObject(
'DataProcessWorkflowStep',
data_process_definition_id=mpl_graphs_procdef_id)
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)
#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)
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])
#Start the input stream process
ctd_sim_pid = self._start_sinusoidal_input_stream_process(
ctd_stream_id)
#Start the output stream listener to monitor and verify messages
results = self._start_output_stream_listener(data_product_stream_ids)
#Stop the workflow processes
self.workflowclient.terminate_data_process_workflow(
workflow_id, False) # Should test true at some point
# stop the flow parse the messages...
self.process_dispatcher.cancel_process(
ctd_sim_pid
) # kill the ctd simulator process - that is enough data
#Validate the data from each of the messages along the way
self._validate_mpl_graphs_results(
VizTransformGoogleDT.outgoing_stream_def, results)
#Cleanup to make sure delete is correct.
self.workflowclient.delete_workflow_definition(workflow_def_id)
workflow_def_ids, _ = self.rrclient.find_resources(
restype=RT.WorkflowDefinition)
assertions(len(workflow_def_ids) == 0)
@attr('LOCOINT')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),
'Not integrated for CEI')
#@unittest.skip("Skipping for debugging ")
def test_multiple_workflow_instances(self):
assertions = self.assertTrue
# Build the workflow definition
workflow_def_obj = IonObject(
RT.WorkflowDefinition,
name='Multiple_Test_Workflow',
description='Tests the workflow of converting stream data')
#Add a transformation process definition
google_dt_procdef_id = self._create_google_dt_data_process_definition()
workflow_step_obj = IonObject(
'DataProcessWorkflowStep',
data_process_definition_id=google_dt_procdef_id)
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)
#The list of data product streams to monitor
data_product_stream_ids = list()
#Create the first input data product
ctd_stream_id1, ctd_parsed_data_product_id1 = self._create_ctd_input_stream_and_data_product(
'ctd_parsed1')
data_product_stream_ids.append(ctd_stream_id1)
#Create and start the first workflow
workflow_id1, workflow_product_id1 = self.workflowclient.create_data_process_workflow(
workflow_def_id, ctd_parsed_data_product_id1)
#Create the second input data product
ctd_stream_id2, ctd_parsed_data_product_id2 = self._create_ctd_input_stream_and_data_product(
'ctd_parsed2')
data_product_stream_ids.append(ctd_stream_id2)
#Create and start the first workflow
workflow_id2, workflow_product_id2 = self.workflowclient.create_data_process_workflow(
workflow_def_id, ctd_parsed_data_product_id2)
#Walk the associations to find the appropriate output data streams to validate the messages
workflow_ids, _ = self.rrclient.find_resources(restype=RT.Workflow)
assertions(len(workflow_ids) == 2)
#Start the first input stream process
ctd_sim_pid1 = self._start_sinusoidal_input_stream_process(
ctd_stream_id1)
#Start the second input stream process
ctd_sim_pid2 = self._start_simple_input_stream_process(ctd_stream_id2)
#Start the output stream listener to monitor a set number of messages being sent through the workflows
results = self._start_output_stream_listener(
data_product_stream_ids, message_count_per_stream=5)
# stop the flow of messages...
self.process_dispatcher.cancel_process(
ctd_sim_pid1
) # kill the ctd simulator process - that is enough data
self.process_dispatcher.cancel_process(ctd_sim_pid2)
#Stop the first workflow processes
self.workflowclient.terminate_data_process_workflow(
workflow_id1, False) # Should test true at some point
#Stop the second workflow processes
self.workflowclient.terminate_data_process_workflow(
workflow_id2, False) # Should test true at some point
workflow_ids, _ = self.rrclient.find_resources(restype=RT.Workflow)
assertions(len(workflow_ids) == 0)
#Cleanup to make sure delete is correct.
self.workflowclient.delete_workflow_definition(workflow_def_id)
workflow_def_ids, _ = self.rrclient.find_resources(
restype=RT.WorkflowDefinition)
assertions(len(workflow_def_ids) == 0)
aid_list = self.rrclient.find_associations(
workflow_def_id, PRED.hasDataProcessDefinition)
assertions(len(aid_list) == 0)
def test_dm_integration(self):
'''
test_salinity_transform
Test full DM Services Integration
'''
cc = self.container
assertions = self.assertTrue
#-----------------------------
# Copy below here to run as a script (don't forget the imports of course!)
#-----------------------------
# Create some service clients...
pubsub_management_service = PubsubManagementServiceClient(node=cc.node)
ingestion_management_service = IngestionManagementServiceClient(
node=cc.node)
dataset_management_service = DatasetManagementServiceClient(
node=cc.node)
data_retriever_service = DataRetrieverServiceClient(node=cc.node)
transform_management_service = TransformManagementServiceClient(
node=cc.node)
process_dispatcher = ProcessDispatcherServiceClient(node=cc.node)
# declare some handy variables
datastore_name = 'test_dm_integration'
###
### In the beginning there were two stream definitions...
###
# create a stream definition for the data from the ctd simulator
ctd_stream_def = SBE37_CDM_stream_definition()
ctd_stream_def_id = pubsub_management_service.create_stream_definition(
container=ctd_stream_def, name='Simulated CTD data')
# create a stream definition for the data from the salinity Transform
sal_stream_def_id = pubsub_management_service.create_stream_definition(
container=SalinityTransform.outgoing_stream_def,
name='Scalar Salinity data stream')
###
### And two process definitions...
###
# one for the ctd simulator...
producer_definition = ProcessDefinition()
producer_definition.executable = {
'module': 'ion.processes.data.ctd_stream_publisher',
'class': 'SimpleCtdPublisher'
}
ctd_sim_procdef_id = process_dispatcher.create_process_definition(
process_definition=producer_definition)
# one for the salinity transform
producer_definition = ProcessDefinition()
producer_definition.executable = {
'module': 'ion.processes.data.transforms.ctd.ctd_L2_salinity',
'class': 'SalinityTransform'
}
salinity_transform_procdef_id = process_dispatcher.create_process_definition(
process_definition=producer_definition)
#---------------------------
# Set up ingestion - this is an operator concern - not done by SA in a deployed system
#---------------------------
# Configure ingestion using eight workers, ingesting to test_dm_integration datastore with the SCIDATA profile
log.debug('Calling create_ingestion_configuration')
ingestion_configuration_id = ingestion_management_service.create_ingestion_configuration(
exchange_point_id='science_data',
couch_storage=CouchStorage(datastore_name=datastore_name,
datastore_profile='SCIDATA'),
number_of_workers=1)
#
ingestion_management_service.activate_ingestion_configuration(
ingestion_configuration_id=ingestion_configuration_id)
#---------------------------
# Set up the producer (CTD Simulator)
#---------------------------
# Create the stream
ctd_stream_id = pubsub_management_service.create_stream(
stream_definition_id=ctd_stream_def_id)
# Set up the datasets
ctd_dataset_id = dataset_management_service.create_dataset(
stream_id=ctd_stream_id,
datastore_name=datastore_name,
view_name='datasets/stream_join_granule')
# Configure ingestion of this dataset
ctd_dataset_config_id = ingestion_management_service.create_dataset_configuration(
dataset_id=ctd_dataset_id,
archive_data=True,
archive_metadata=True,
ingestion_configuration_id=
ingestion_configuration_id, # you need to know the ingestion configuration id!
)
# Hold onto ctd_dataset_config_id if you want to stop/start ingestion of that dataset by the ingestion service
#---------------------------
# Set up the salinity transform
#---------------------------
# Create the stream
sal_stream_id = pubsub_management_service.create_stream(
stream_definition_id=sal_stream_def_id)
# Set up the datasets
sal_dataset_id = dataset_management_service.create_dataset(
stream_id=sal_stream_id,
datastore_name=datastore_name,
view_name='datasets/stream_join_granule')
# Configure ingestion of the salinity as a dataset
sal_dataset_config_id = ingestion_management_service.create_dataset_configuration(
dataset_id=sal_dataset_id,
archive_data=True,
archive_metadata=True,
ingestion_configuration_id=
ingestion_configuration_id, # you need to know the ingestion configuration id!
)
# Hold onto sal_dataset_config_id if you want to stop/start ingestion of that dataset by the ingestion service
# Create a subscription as input to the transform
sal_transform_input_subscription_id = pubsub_management_service.create_subscription(
query=StreamQuery(stream_ids=[
ctd_stream_id,
]),
exchange_name='salinity_transform_input'
) # how do we make these names??? i.e. Should they be anonymous?
# create the salinity transform
sal_transform_id = transform_management_service.create_transform(
name='example salinity transform',
in_subscription_id=sal_transform_input_subscription_id,
out_streams={
'output': sal_stream_id,
},
process_definition_id=salinity_transform_procdef_id,
# no configuration needed at this time...
)
# start the transform - for a test case it makes sense to do it before starting the producer but it is not required
transform_management_service.activate_transform(
transform_id=sal_transform_id)
# Start the ctd simulator to produce some data
configuration = {
'process': {
'stream_id': ctd_stream_id,
}
}
ctd_sim_pid = process_dispatcher.schedule_process(
process_definition_id=ctd_sim_procdef_id,
configuration=configuration)
###
### Make a subscriber in the test to listen for salinity data
###
salinity_subscription_id = pubsub_management_service.create_subscription(
query=StreamQuery([
sal_stream_id,
]),
exchange_name='salinity_test',
name="test salinity subscription",
)
pid = cc.spawn_process(name='dummy_process_for_test',
module='pyon.ion.process',
cls='SimpleProcess',
config={})
dummy_process = cc.proc_manager.procs[pid]
subscriber_registrar = StreamSubscriberRegistrar(process=dummy_process,
node=cc.node)
result = gevent.event.AsyncResult()
results = []
def message_received(message, headers):
# Heads
log.warn('Salinity data received!')
results.append(message)
if len(results) > 3:
result.set(True)
subscriber = subscriber_registrar.create_subscriber(
exchange_name='salinity_test', callback=message_received)
subscriber.start()
# after the queue has been created it is safe to activate the subscription
pubsub_management_service.activate_subscription(
subscription_id=salinity_subscription_id)
# Assert that we have received data
assertions(result.get(timeout=10))
# stop the flow parse the messages...
process_dispatcher.cancel_process(
ctd_sim_pid
) # kill the ctd simulator process - that is enough data
for message in results:
psd = PointSupplementStreamParser(
stream_definition=SalinityTransform.outgoing_stream_def,
stream_granule=message)
# Test the handy info method for the names of fields in the stream def
assertions('salinity' in psd.list_field_names())
# you have to know the name of the coverage in stream def
salinity = psd.get_values('salinity')
import numpy
assertions(isinstance(salinity, numpy.ndarray))
assertions(numpy.nanmin(salinity) >
0.0) # salinity should always be greater than 0
class TestWorkflowManagementIntegration(IonIntegrationTestCase):
def setUp(self):
# Start container
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
# Now create client to DataProductManagementService
self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
self.damsclient = DataAcquisitionManagementServiceClient(node=self.container.node)
self.pubsubclient = PubsubManagementServiceClient(node=self.container.node)
self.ingestclient = IngestionManagementServiceClient(node=self.container.node)
self.imsclient = InstrumentManagementServiceClient(node=self.container.node)
self.dataproductclient = DataProductManagementServiceClient(node=self.container.node)
self.dataprocessclient = DataProcessManagementServiceClient(node=self.container.node)
self.datasetclient = DatasetManagementServiceClient(node=self.container.node)
self.workflowclient = WorkflowManagementServiceClient(node=self.container.node)
self.process_dispatcher = ProcessDispatcherServiceClient(node=self.container.node)
self.ctd_stream_def = SBE37_CDM_stream_definition()
def _create_ctd_input_stream_and_data_product(self, data_product_name='ctd_parsed'):
cc = self.container
assertions = self.assertTrue
#-------------------------------
# Create CTD Parsed as the initial data product
#-------------------------------
# create a stream definition for the data from the ctd simulator
ctd_stream_def = SBE37_CDM_stream_definition()
ctd_stream_def_id = self.pubsubclient.create_stream_definition(container=self.ctd_stream_def, name='Simulated CTD data')
log.debug('Creating new CDM data product with a stream definition')
dp_obj = IonObject(RT.DataProduct,name=data_product_name,description='ctd stream test')
try:
ctd_parsed_data_product_id = self.dataproductclient.create_data_product(dp_obj, ctd_stream_def_id)
except Exception as ex:
self.fail("failed to create new data product: %s" %ex)
log.debug('new ctd_parsed_data_product_id = ', ctd_parsed_data_product_id)
#Only ever need one device for testing purposes.
instDevice_obj,_ = self.rrclient.find_resources(restype=RT.InstrumentDevice, name='SBE37IMDevice')
if instDevice_obj:
instDevice_id = instDevice_obj[0]._id
else:
instDevice_obj = IonObject(RT.InstrumentDevice, name='SBE37IMDevice', description="SBE37IMDevice", serial_number="12345" )
instDevice_id = self.imsclient.create_instrument_device(instrument_device=instDevice_obj)
self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=ctd_parsed_data_product_id)
self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_parsed_data_product_id, persist_data=False, persist_metadata=False)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(ctd_parsed_data_product_id, PRED.hasStream, None, True)
assertions(len(stream_ids) > 0 )
ctd_stream_id = stream_ids[0]
return ctd_stream_id, ctd_parsed_data_product_id
def _start_simple_input_stream_process(self, ctd_stream_id):
return self._start_input_stream_process(ctd_stream_id)
def _start_sinusoidal_input_stream_process(self, ctd_stream_id):
return self._start_input_stream_process(ctd_stream_id, 'ion.processes.data.sinusoidal_stream_publisher', 'SinusoidalCtdPublisher')
def _start_input_stream_process(self, ctd_stream_id, module = 'ion.processes.data.ctd_stream_publisher', class_name= 'SimpleCtdPublisher'):
###
### Start the process for producing the CTD data
###
# process definition for the ctd simulator...
producer_definition = ProcessDefinition()
producer_definition.executable = {
'module':module,
'class':class_name
}
ctd_sim_procdef_id = self.process_dispatcher.create_process_definition(process_definition=producer_definition)
# Start the ctd simulator to produce some data
configuration = {
'process':{
'stream_id':ctd_stream_id,
}
}
ctd_sim_pid = self.process_dispatcher.schedule_process(process_definition_id=ctd_sim_procdef_id, configuration=configuration)
return ctd_sim_pid
def _start_output_stream_listener(self, data_product_stream_ids, message_count_per_stream=10):
cc = self.container
assertions = self.assertTrue
###
### Make a subscriber in the test to listen for transformed data
###
salinity_subscription_id = self.pubsubclient.create_subscription(
query=StreamQuery(data_product_stream_ids),
exchange_name = 'workflow_test',
name = "test workflow transformations",
)
pid = cc.spawn_process(name='dummy_process_for_test',
module='pyon.ion.process',
cls='SimpleProcess',
config={})
dummy_process = cc.proc_manager.procs[pid]
subscriber_registrar = StreamSubscriberRegistrar(process=dummy_process, node=cc.node)
result = gevent.event.AsyncResult()
results = []
def message_received(message, headers):
# Heads
log.warn(' data received!')
results.append(message)
if len(results) >= len(data_product_stream_ids) * message_count_per_stream: #Only wait for so many messages - per stream
result.set(True)
subscriber = subscriber_registrar.create_subscriber(exchange_name='workflow_test', callback=message_received)
subscriber.start()
# after the queue has been created it is safe to activate the subscription
self.pubsubclient.activate_subscription(subscription_id=salinity_subscription_id)
# Assert that we have received data
assertions(result.get(timeout=30))
self.pubsubclient.deactivate_subscription(subscription_id=salinity_subscription_id)
subscriber.stop()
return results
def _validate_messages(self, results):
cc = self.container
assertions = self.assertTrue
first_salinity_values = None
for message in results:
try:
psd = PointSupplementStreamParser(stream_definition=self.ctd_stream_def, stream_granule=message)
temp = psd.get_values('temperature')
log.info(psd.list_field_names())
except KeyError as ke:
temp = None
if temp is not None:
assertions(isinstance(temp, numpy.ndarray))
log.info( 'temperature=' + str(numpy.nanmin(temp)))
first_salinity_values = None
else:
psd = PointSupplementStreamParser(stream_definition=SalinityTransform.outgoing_stream_def, stream_granule=message)
log.info( psd.list_field_names())
# Test the handy info method for the names of fields in the stream def
assertions('salinity' in psd.list_field_names())
# you have to know the name of the coverage in stream def
salinity = psd.get_values('salinity')
log.info( 'salinity=' + str(numpy.nanmin(salinity)))
assertions(isinstance(salinity, numpy.ndarray))
assertions(numpy.nanmin(salinity) > 0.0) # salinity should always be greater than 0
if first_salinity_values is None:
first_salinity_values = salinity.tolist()
else:
second_salinity_values = salinity.tolist()
assertions(len(first_salinity_values) == len(second_salinity_values))
for idx in range(0,len(first_salinity_values)):
assertions(first_salinity_values[idx]*2.0 == second_salinity_values[idx])
def _create_salinity_data_process_definition(self):
# Salinity: Data Process Definition
#First look to see if it exists and if not, then create it
dpd,_ = self.rrclient.find_resources(restype=RT.DataProcessDefinition, name='ctd_salinity')
if len(dpd) > 0:
return dpd[0]
log.debug("Create data process definition SalinityTransform")
dpd_obj = IonObject(RT.DataProcessDefinition,
name='ctd_salinity',
description='create a salinity data product',
module='ion.processes.data.transforms.ctd.ctd_L2_salinity',
class_name='SalinityTransform',
process_source='SalinityTransform source code here...')
try:
ctd_L2_salinity_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
except Excpetion as ex:
self.fail("failed to create new SalinityTransform data process definition: %s" %ex)
# create a stream definition for the data from the salinity Transform
sal_stream_def_id = self.pubsubclient.create_stream_definition(container=SalinityTransform.outgoing_stream_def, name='Salinity')
self.dataprocessclient.assign_stream_definition_to_data_process_definition(sal_stream_def_id, ctd_L2_salinity_dprocdef_id )
return ctd_L2_salinity_dprocdef_id
def _create_salinity_doubler_data_process_definition(self):
#First look to see if it exists and if not, then create it
dpd,_ = self.rrclient.find_resources(restype=RT.DataProcessDefinition, name='salinity_doubler')
if len(dpd) > 0:
return dpd[0]
# Salinity Doubler: Data Process Definition
log.debug("Create data process definition SalinityDoublerTransform")
dpd_obj = IonObject(RT.DataProcessDefinition,
name='salinity_doubler',
description='create a salinity doubler data product',
module='ion.processes.data.transforms.example_double_salinity',
class_name='SalinityDoubler',
process_source='SalinityDoubler source code here...')
try:
salinity_doubler_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
except Exception as ex:
self.fail("failed to create new SalinityDoubler data process definition: %s" %ex)
# create a stream definition for the data from the salinity Transform
salinity_double_stream_def_id = self.pubsubclient.create_stream_definition(container=SalinityDoubler.outgoing_stream_def, name='SalinityDoubler')
self.dataprocessclient.assign_stream_definition_to_data_process_definition(salinity_double_stream_def_id, salinity_doubler_dprocdef_id )
return salinity_doubler_dprocdef_id
def create_transform_process(self, data_process_definition_id, data_process_input_dp_id):
data_process_definition = self.rrclient.read(data_process_definition_id)
# Find the link between the output Stream Definition resource and the Data Process Definition resource
stream_ids,_ = self.rrclient.find_objects(data_process_definition._id, PRED.hasStreamDefinition, RT.StreamDefinition, id_only=True)
if not stream_ids:
raise Inconsistent("The data process definition %s is missing an association to an output stream definition" % data_process_definition._id )
process_output_stream_def_id = stream_ids[0]
#Concatenate the name of the workflow and data process definition for the name of the data product output
data_process_name = data_process_definition.name
# Create the output data product of the transform
transform_dp_obj = IonObject(RT.DataProduct, name=data_process_name,description=data_process_definition.description)
transform_dp_id = self.dataproductclient.create_data_product(transform_dp_obj, process_output_stream_def_id)
self.dataproductclient.activate_data_product_persistence(data_product_id=transform_dp_id, persist_data=True, persist_metadata=True)
#last one out of the for loop is the output product id
output_data_product_id = transform_dp_id
# Create the transform data process
log.debug("create data_process and start it")
data_process_id = self.dataprocessclient.create_data_process(data_process_definition._id, [data_process_input_dp_id], {'output':transform_dp_id})
self.dataprocessclient.activate_data_process(data_process_id)
#Find the id of the output data stream
stream_ids, _ = self.rrclient.find_objects(transform_dp_id, PRED.hasStream, None, True)
if not stream_ids:
raise Inconsistent("The data process %s is missing an association to an output stream" % data_process_id )
return data_process_id, output_data_product_id
@attr('LOCOINT')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),'Not integrated for CEI')
#@unittest.skip("Skipping for debugging ")
def test_SA_transform_components(self):
assertions = self.assertTrue
#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)
###
### Setup the first transformation
###
# Salinity: Data Process Definition
ctd_L2_salinity_dprocdef_id = self._create_salinity_data_process_definition()
l2_salinity_all_data_process_id, ctd_l2_salinity_output_dp_id = self.create_transform_process(ctd_L2_salinity_dprocdef_id,ctd_parsed_data_product_id )
## get the stream id for the transform outputs
stream_ids, _ = self.rrclient.find_objects(ctd_l2_salinity_output_dp_id, PRED.hasStream, None, True)
assertions(len(stream_ids) > 0 )
sal_stream_id = stream_ids[0]
data_product_stream_ids.append(sal_stream_id)
###
### Setup the second transformation
###
# Salinity Doubler: Data Process Definition
salinity_doubler_dprocdef_id = self._create_salinity_doubler_data_process_definition()
salinity_double_data_process_id, salinity_doubler_output_dp_id = self.create_transform_process(salinity_doubler_dprocdef_id, ctd_l2_salinity_output_dp_id )
stream_ids, _ = self.rrclient.find_objects(salinity_doubler_output_dp_id, PRED.hasStream, None, True)
assertions(len(stream_ids) > 0 )
sal_dbl_stream_id = stream_ids[0]
data_product_stream_ids.append(sal_dbl_stream_id)
#Start the input stream process
ctd_sim_pid = self._start_simple_input_stream_process(ctd_stream_id)
#Start te output stream listener to monitor and verify messages
results = self._start_output_stream_listener(data_product_stream_ids)
#Stop the transform processes
self.dataprocessclient.deactivate_data_process(salinity_double_data_process_id)
self.dataprocessclient.deactivate_data_process(l2_salinity_all_data_process_id)
# stop the flow parse the messages...
self.process_dispatcher.cancel_process(ctd_sim_pid) # kill the ctd simulator process - that is enough data
#Validate the data from each of the messages along the way
self._validate_messages(results)
@attr('LOCOINT')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),'Not integrated for CEI')
#@unittest.skip("Skipping for debugging ")
def test_transform_workflow(self):
assertions = self.assertTrue
# Build the workflow definition
workflow_def_obj = IonObject(RT.WorkflowDefinition, name='Salinity_Test_Workflow',description='tests a workflow of multiple transform data processes')
workflow_data_product_name = 'TEST-Workflow_Output_Product' #Set a specific output product name
#Add a transformation process definition
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
workflow_def_obj.workflow_steps.append(workflow_step_obj)
#Add a transformation process definition
salinity_doubler_dprocdef_id = self._create_salinity_doubler_data_process_definition()
workflow_step_obj = IonObject('DataProcessWorkflowStep', data_process_definition_id=salinity_doubler_dprocdef_id, output_data_product_name=workflow_data_product_name)
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) == 2 )
#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 )
#Verify the output data product name matches what was specified in the workflow definition
workflow_product = self.rrclient.read(workflow_product_id)
assertions(workflow_product.name == workflow_data_product_name)
#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) == 2 )
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])
#Start the input stream process
ctd_sim_pid = self._start_simple_input_stream_process(ctd_stream_id)
#Start the output stream listener to monitor and verify messages
results = self._start_output_stream_listener(data_product_stream_ids)
#Stop the workflow processes
self.workflowclient.terminate_data_process_workflow(workflow_id, False, timeout=15) # Should test true at some point
#Make sure the Workflow object was removed
objs, _ = self.rrclient.find_resources(restype=RT.Workflow)
assertions(len(objs) == 0)
# stop the flow parse the messages...
self.process_dispatcher.cancel_process(ctd_sim_pid) # kill the ctd simulator process - that is enough data
#Validate the data from each of the messages along the way
self._validate_messages(results)
#Cleanup to make sure delete is correct.
self.workflowclient.delete_workflow_definition(workflow_def_id)
workflow_def_ids,_ = self.rrclient.find_resources(restype=RT.WorkflowDefinition)
assertions(len(workflow_def_ids) == 0 )
def _create_google_dt_data_process_definition(self):
#First look to see if it exists and if not, then create it
dpd,_ = self.rrclient.find_resources(restype=RT.DataProcessDefinition, name='google_dt_transform')
if len(dpd) > 0:
return dpd[0]
# Data Process Definition
log.debug("Create data process definition GoogleDtTransform")
dpd_obj = IonObject(RT.DataProcessDefinition,
name='google_dt_transform',
description='Convert data streams to Google DataTables',
module='ion.processes.data.transforms.viz.google_dt',
class_name='VizTransformGoogleDT',
process_source='VizTransformGoogleDT source code here...')
try:
procdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
except Exception as ex:
self.fail("failed to create new VizTransformGoogleDT data process definition: %s" %ex)
# create a stream definition for the data from the
stream_def_id = self.pubsubclient.create_stream_definition(container=VizTransformGoogleDT.outgoing_stream_def, name='VizTransformGoogleDT')
self.dataprocessclient.assign_stream_definition_to_data_process_definition(stream_def_id, procdef_id )
return procdef_id
def _validate_google_dt_results(self, results_stream_def, results):
cc = self.container
assertions = self.assertTrue
for g in results:
if isinstance(g,Granule):
tx = TaxyTool.load_from_granule(g)
rdt = RecordDictionaryTool.load_from_granule(g)
#log.warn(tx.pretty_print())
#log.warn(rdt.pretty_print())
gdt_component = rdt['google_dt_components'][0]
assertions(gdt_component['viz_product_type'] == 'google_realtime_dt' )
gdt_description = gdt_component['data_table_description']
gdt_content = gdt_component['data_table_content']
assertions(gdt_description[0][0] == 'time')
assertions(len(gdt_description) > 1)
assertions(len(gdt_content) >= 0)
return
def _create_mpl_graphs_data_process_definition(self):
#First look to see if it exists and if not, then create it
dpd,_ = self.rrclient.find_resources(restype=RT.DataProcessDefinition, name='mpl_graphs_transform')
if len(dpd) > 0:
return dpd[0]
#Data Process Definition
log.debug("Create data process definition MatplotlibGraphsTransform")
dpd_obj = IonObject(RT.DataProcessDefinition,
name='mpl_graphs_transform',
description='Convert data streams to Matplotlib graphs',
module='ion.processes.data.transforms.viz.matplotlib_graphs',
class_name='VizTransformMatplotlibGraphs',
process_source='VizTransformMatplotlibGraphs source code here...')
try:
procdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
except Exception as ex:
self.fail("failed to create new VizTransformMatplotlibGraphs data process definition: %s" %ex)
# create a stream definition for the data
stream_def_id = self.pubsubclient.create_stream_definition(container=VizTransformMatplotlibGraphs.outgoing_stream_def, name='VizTransformMatplotlibGraphs')
self.dataprocessclient.assign_stream_definition_to_data_process_definition(stream_def_id, procdef_id )
return procdef_id
def _validate_mpl_graphs_results(self, results_stream_def, results):
cc = self.container
assertions = self.assertTrue
for g in results:
if isinstance(g,Granule):
tx = TaxyTool.load_from_granule(g)
rdt = RecordDictionaryTool.load_from_granule(g)
#log.warn(tx.pretty_print())
#log.warn(rdt.pretty_print())
graphs = rdt['matplotlib_graphs']
for graph in graphs:
assertions(graph['viz_product_type'] == 'matplotlib_graphs' )
# check to see if the list (numpy array) contians actual images
assertions(imghdr.what(graph['image_name'], graph['image_obj']) == 'png')
return
@attr('LOCOINT')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),'Not integrated for CEI')
#unittest.skip("Skipping for debugging ")
def test_google_dt_transform_workflow(self):
assertions = self.assertTrue
# Build the workflow definition
workflow_def_obj = IonObject(RT.WorkflowDefinition, name='GoogleDT_Test_Workflow',description='Tests the workflow of converting stream data to Google DT')
#Add a transformation process definition
google_dt_procdef_id = self._create_google_dt_data_process_definition()
workflow_step_obj = IonObject('DataProcessWorkflowStep', data_process_definition_id=google_dt_procdef_id)
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)
#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)
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])
#Start the input stream process
ctd_sim_pid = self._start_simple_input_stream_process(ctd_stream_id)
#Start the output stream listener to monitor and verify messages
results = self._start_output_stream_listener(data_product_stream_ids)
#Stop the workflow processes
self.workflowclient.terminate_data_process_workflow(workflow_id, False) # Should test true at some point
# stop the flow parse the messages...
self.process_dispatcher.cancel_process(ctd_sim_pid) # kill the ctd simulator process - that is enough data
#Validate the data from each of the messages along the way
self._validate_google_dt_results(VizTransformGoogleDT.outgoing_stream_def, results)
#Cleanup to make sure delete is correct.
self.workflowclient.delete_workflow_definition(workflow_def_id)
workflow_def_ids,_ = self.rrclient.find_resources(restype=RT.WorkflowDefinition)
assertions(len(workflow_def_ids) == 0 )
@attr('LOCOINT')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),'Not integrated for CEI')
#@unittest.skip("Skipping for debugging ")
def test_mpl_graphs_transform_workflow(self):
assertions = self.assertTrue
# Build the workflow definition
workflow_def_obj = IonObject(RT.WorkflowDefinition, name='Mpl_Graphs_Test_Workflow',description='Tests the workflow of converting stream data to Matplotlib graphs')
#Add a transformation process definition
mpl_graphs_procdef_id = self._create_mpl_graphs_data_process_definition()
workflow_step_obj = IonObject('DataProcessWorkflowStep', data_process_definition_id=mpl_graphs_procdef_id)
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)
#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)
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])
#Start the input stream process
ctd_sim_pid = self._start_sinusoidal_input_stream_process(ctd_stream_id)
#Start the output stream listener to monitor and verify messages
results = self._start_output_stream_listener(data_product_stream_ids)
#Stop the workflow processes
self.workflowclient.terminate_data_process_workflow(workflow_id, False) # Should test true at some point
# stop the flow parse the messages...
self.process_dispatcher.cancel_process(ctd_sim_pid) # kill the ctd simulator process - that is enough data
#Validate the data from each of the messages along the way
self._validate_mpl_graphs_results(VizTransformGoogleDT.outgoing_stream_def, results)
#Cleanup to make sure delete is correct.
self.workflowclient.delete_workflow_definition(workflow_def_id)
workflow_def_ids,_ = self.rrclient.find_resources(restype=RT.WorkflowDefinition)
assertions(len(workflow_def_ids) == 0 )
@attr('LOCOINT')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),'Not integrated for CEI')
#@unittest.skip("Skipping for debugging ")
def test_multiple_workflow_instances(self):
assertions = self.assertTrue
# Build the workflow definition
workflow_def_obj = IonObject(RT.WorkflowDefinition, name='Multiple_Test_Workflow',description='Tests the workflow of converting stream data')
#Add a transformation process definition
google_dt_procdef_id = self._create_google_dt_data_process_definition()
workflow_step_obj = IonObject('DataProcessWorkflowStep', data_process_definition_id=google_dt_procdef_id)
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)
#The list of data product streams to monitor
data_product_stream_ids = list()
#Create the first input data product
ctd_stream_id1, ctd_parsed_data_product_id1 = self._create_ctd_input_stream_and_data_product('ctd_parsed1')
data_product_stream_ids.append(ctd_stream_id1)
#Create and start the first workflow
workflow_id1, workflow_product_id1 = self.workflowclient.create_data_process_workflow(workflow_def_id, ctd_parsed_data_product_id1)
#Create the second input data product
ctd_stream_id2, ctd_parsed_data_product_id2 = self._create_ctd_input_stream_and_data_product('ctd_parsed2')
data_product_stream_ids.append(ctd_stream_id2)
#Create and start the first workflow
workflow_id2, workflow_product_id2 = self.workflowclient.create_data_process_workflow(workflow_def_id, ctd_parsed_data_product_id2)
#Walk the associations to find the appropriate output data streams to validate the messages
workflow_ids,_ = self.rrclient.find_resources(restype=RT.Workflow)
assertions(len(workflow_ids) == 2 )
#Start the first input stream process
ctd_sim_pid1 = self._start_sinusoidal_input_stream_process(ctd_stream_id1)
#Start the second input stream process
ctd_sim_pid2 = self._start_simple_input_stream_process(ctd_stream_id2)
#Start the output stream listener to monitor a set number of messages being sent through the workflows
results = self._start_output_stream_listener(data_product_stream_ids, message_count_per_stream=5)
# stop the flow of messages...
self.process_dispatcher.cancel_process(ctd_sim_pid1) # kill the ctd simulator process - that is enough data
self.process_dispatcher.cancel_process(ctd_sim_pid2)
#Stop the first workflow processes
self.workflowclient.terminate_data_process_workflow(workflow_id1, False) # Should test true at some point
#Stop the second workflow processes
self.workflowclient.terminate_data_process_workflow(workflow_id2, False) # Should test true at some point
workflow_ids,_ = self.rrclient.find_resources(restype=RT.Workflow)
assertions(len(workflow_ids) == 0 )
#Cleanup to make sure delete is correct.
self.workflowclient.delete_workflow_definition(workflow_def_id)
workflow_def_ids,_ = self.rrclient.find_resources(restype=RT.WorkflowDefinition)
assertions(len(workflow_def_ids) == 0 )
aid_list = self.rrclient.find_associations(workflow_def_id, PRED.hasDataProcessDefinition)
assertions(len(aid_list) == 0 )
def test_raw_stream_integration(self):
cc = self.container
assertions = self.assertTrue
#-----------------------------
# Copy below here to run as a script (don't forget the imports of course!)
#-----------------------------
# Create some service clients...
pubsub_management_service = PubsubManagementServiceClient(node=cc.node)
ingestion_management_service = IngestionManagementServiceClient(
node=cc.node)
dataset_management_service = DatasetManagementServiceClient(
node=cc.node)
process_dispatcher = ProcessDispatcherServiceClient(node=cc.node)
# declare some handy variables
datastore_name = 'test_dm_integration'
###
### In the beginning there was one stream definitions...
###
# create a stream definition for the data from the ctd simulator
raw_ctd_stream_def = SBE37_RAW_stream_definition()
raw_ctd_stream_def_id = pubsub_management_service.create_stream_definition(
container=raw_ctd_stream_def, name='Simulated RAW CTD data')
###
### And two process definitions...
###
# one for the ctd simulator...
producer_definition = ProcessDefinition()
producer_definition.executable = {
'module': 'ion.processes.data.raw_stream_publisher',
'class': 'RawStreamPublisher'
}
raw_ctd_sim_procdef_id = process_dispatcher.create_process_definition(
process_definition=producer_definition)
#---------------------------
# Set up ingestion - this is an operator concern - not done by SA in a deployed system
#---------------------------
# Configure ingestion using eight workers, ingesting to test_dm_integration datastore with the SCIDATA profile
log.debug('Calling create_ingestion_configuration')
ingestion_configuration_id = ingestion_management_service.create_ingestion_configuration(
exchange_point_id='science_data',
couch_storage=CouchStorage(datastore_name=datastore_name,
datastore_profile='SCIDATA'),
number_of_workers=1)
#
ingestion_management_service.activate_ingestion_configuration(
ingestion_configuration_id=ingestion_configuration_id)
#---------------------------
# Set up the producer (CTD Simulator)
#---------------------------
# Create the stream
raw_ctd_stream_id = pubsub_management_service.create_stream(
stream_definition_id=raw_ctd_stream_def_id)
# Set up the datasets
raw_ctd_dataset_id = dataset_management_service.create_dataset(
stream_id=raw_ctd_stream_id,
datastore_name=datastore_name,
view_name='datasets/stream_join_granule')
# Configure ingestion of this dataset
raw_ctd_dataset_config_id = ingestion_management_service.create_dataset_configuration(
dataset_id=raw_ctd_dataset_id,
archive_data=True,
archive_metadata=True,
ingestion_configuration_id=
ingestion_configuration_id, # you need to know the ingestion configuration id!
)
# Hold onto ctd_dataset_config_id if you want to stop/start ingestion of that dataset by the ingestion service
# Start the ctd simulator to produce some data
configuration = {
'process': {
'stream_id': raw_ctd_stream_id,
}
}
raw_sim_pid = process_dispatcher.schedule_process(
process_definition_id=raw_ctd_sim_procdef_id,
configuration=configuration)
###
### Make a subscriber in the test to listen for salinity data
###
raw_subscription_id = pubsub_management_service.create_subscription(
query=StreamQuery([
raw_ctd_stream_id,
]),
exchange_name='raw_test',
name="test raw subscription",
)
# this is okay - even in cei mode!
pid = cc.spawn_process(name='dummy_process_for_test',
module='pyon.ion.process',
cls='SimpleProcess',
config={})
dummy_process = cc.proc_manager.procs[pid]
subscriber_registrar = StreamSubscriberRegistrar(process=dummy_process,
node=cc.node)
result = gevent.event.AsyncResult()
results = []
def message_received(message, headers):
# Heads
log.warn('Raw data received!')
results.append(message)
if len(results) > 3:
result.set(True)
subscriber = subscriber_registrar.create_subscriber(
exchange_name='raw_test', callback=message_received)
subscriber.start()
# after the queue has been created it is safe to activate the subscription
pubsub_management_service.activate_subscription(
subscription_id=raw_subscription_id)
# Assert that we have received data
assertions(result.get(timeout=10))
# stop the flow parse the messages...
process_dispatcher.cancel_process(
raw_sim_pid
) # kill the ctd simulator process - that is enough data
gevent.sleep(1)
for message in results:
sha1 = message.identifiables['stream_encoding'].sha1
data = message.identifiables['data_stream'].values
filename = FileSystem.get_hierarchical_url(FS.CACHE, sha1, ".raw")
with open(filename, 'r') as f:
assertions(data == f.read())
class TestGranulePublish(IonIntegrationTestCase):
def setUp(self):
# Start container
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
# Now create client to DataProductManagementService
self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
self.pubsubclient = PubsubManagementServiceClient(
node=self.container.node)
self.dpclient = DataProductManagementServiceClient(
node=self.container.node)
self.processdispatchclient = ProcessDispatcherServiceClient(
node=self.container.node)
self.dataprocessclient = DataProcessManagementServiceClient(
node=self.container.node)
self.dataproductclient = DataProductManagementServiceClient(
node=self.container.node)
self.dataset_management = DatasetManagementServiceClient()
def create_logger(self, name, stream_id=''):
# logger process
producer_definition = ProcessDefinition(name=name + '_logger')
producer_definition.executable = {
'module': 'ion.processes.data.stream_granule_logger',
'class': 'StreamGranuleLogger'
}
logger_procdef_id = self.processdispatchclient.create_process_definition(
process_definition=producer_definition)
configuration = {
'process': {
'stream_id': stream_id,
}
}
pid = self.processdispatchclient.schedule_process(
process_definition_id=logger_procdef_id,
configuration=configuration)
return pid
#overriding trigger function here to use new granule
def test_granule_publish(self):
log.debug("test_granule_publish ")
self.loggerpids = []
#retrieve the param dict from the repository
pdict_id = self.dataset_management.read_parameter_dictionary_by_name(
'ctd_parsed_param_dict', id_only=True)
stream_definition_id = self.pubsubclient.create_stream_definition(
'parsed stream', parameter_dictionary_id=pdict_id)
tdom, sdom = time_series_domain()
dp_obj = IonObject(RT.DataProduct,
name=str(uuid.uuid4()),
description='ctd stream test',
temporal_domain=tdom.dump(),
spatial_domain=sdom.dump())
data_product_id1 = self.dpclient.create_data_product(
data_product=dp_obj, stream_definition_id=stream_definition_id)
# Retrieve the id of the output stream of the out Data Product
stream_ids, _ = self.rrclient.find_objects(data_product_id1,
PRED.hasStream, None, True)
log.debug('test_granule_publish: Data product streams1 = %s',
stream_ids)
pid = self.create_logger('ctd_parsed', stream_ids[0])
self.loggerpids.append(pid)
rdt = RecordDictionaryTool(stream_definition_id=stream_definition_id)
#create the publisher from the stream route
stream_route = self.pubsubclient.read_stream_route(stream_ids[0])
publisher = StandaloneStreamPublisher(stream_ids[0], stream_route)
# this is one sample from the ctd driver
tomato = {
"driver_timestamp":
3555971105.1268806,
"instrument_id":
"ABC-123",
"pkt_format_id":
"JSON_Data",
"pkt_version":
1,
"preferred_timestamp":
"driver_timestamp",
"quality_flag":
"ok",
"stream_name":
"parsed",
"values": [{
"value": 22.9304,
"value_id": "temp"
}, {
"value": 51.57381,
"value_id": "conductivity"
}, {
"value": 915.551,
"value_id": "pressure"
}]
}
for value in tomato['values']:
log.debug(
"test_granule_publish: Looping tomato values key: %s val: %s ",
str(value['value']), str(value['value_id']))
if value['value_id'] in rdt:
rdt[value['value_id']] = numpy.array([value['value']])
log.debug(
"test_granule_publish: Added data item %s val: %s ",
str(value['value']), str(value['value_id']))
g = rdt.to_granule()
publisher.publish(g)
gevent.sleep(3)
for pid in self.loggerpids:
self.processdispatchclient.cancel_process(pid)
#--------------------------------------------------------------------------------
# Cleanup data products
#--------------------------------------------------------------------------------
dp_ids, _ = self.rrclient.find_resources(restype=RT.DataProduct,
id_only=True)
for dp_id in dp_ids:
self.dataproductclient.delete_data_product(dp_id)
class ProcessDispatcherEEAgentIntTest(ProcessDispatcherServiceIntTest):
"""Run the basic int tests again, with a different environment
"""
def setUp(self):
self.dashi = None
self._start_container()
from pyon.public import CFG
self.container_client = ContainerAgentClient(node=self.container.node,
name=self.container.name)
self.container = self.container_client._get_container_instance()
app = dict(name="process_dispatcher",
processapp=("process_dispatcher",
"ion.services.cei.process_dispatcher_service",
"ProcessDispatcherService"))
self.container.start_app(app, config=pd_config)
self.rr_cli = self.container.resource_registry
self.pd_cli = ProcessDispatcherServiceClient(node=self.container.node)
self.process_definition = ProcessDefinition(name='test_process')
self.process_definition.executable = {
'module': 'ion.services.cei.test.test_process_dispatcher',
'class': 'TestProcess'
}
self.process_definition_id = self.pd_cli.create_process_definition(
self.process_definition)
self._eea_pids = []
self._eea_pid_to_resource_id = {}
self._eea_pid_to_persistence_dir = {}
self._tmpdirs = []
self.dashi = get_dashi(
uuid.uuid4().hex,
pd_config['processdispatcher']['dashi_uri'],
pd_config['processdispatcher']['dashi_exchange'],
sysname=CFG.get_safe("dashi.sysname"))
#send a fake node_state message to PD's dashi binding.
self.node1_id = uuid.uuid4().hex
self._send_node_state("engine1", self.node1_id)
self._initial_eea_pid = self._start_eeagent(self.node1_id)
self.waiter = ProcessStateWaiter()
def _send_node_state(self, engine_id, node_id=None):
node_id = node_id or uuid.uuid4().hex
node_state = dict(node_id=node_id,
state=InstanceState.RUNNING,
domain_id=domain_id_from_engine(engine_id))
self.dashi.fire(get_pd_dashi_name(), "node_state", args=node_state)
def _start_eeagent(self, node_id, resource_id=None, persistence_dir=None):
if not persistence_dir:
persistence_dir = tempfile.mkdtemp()
self._tmpdirs.append(persistence_dir)
resource_id = resource_id or uuid.uuid4().hex
agent_config = _get_eeagent_config(node_id,
persistence_dir,
resource_id=resource_id)
pid = self.container_client.spawn_process(
name="eeagent",
module="ion.agents.cei.execution_engine_agent",
cls="ExecutionEngineAgent",
config=agent_config)
log.info('Agent pid=%s.', str(pid))
self._eea_pids.append(pid)
self._eea_pid_to_resource_id[pid] = resource_id
self._eea_pid_to_persistence_dir[pid] = persistence_dir
return pid
def _kill_eeagent(self, pid):
self.assertTrue(pid in self._eea_pids)
self.container.terminate_process(pid)
self._eea_pids.remove(pid)
del self._eea_pid_to_resource_id[pid]
del self._eea_pid_to_persistence_dir[pid]
def tearDown(self):
for pid in list(self._eea_pids):
self._kill_eeagent(pid)
for d in self._tmpdirs:
shutil.rmtree(d)
self.waiter.stop()
if self.dashi:
self.dashi.cancel()
def test_requested_ee(self):
# request non-default engine
process_target = ProcessTarget(execution_engine_id="engine2")
process_schedule = ProcessSchedule()
process_schedule.queueing_mode = ProcessQueueingMode.ALWAYS
process_schedule.target = process_target
pid = self.pd_cli.create_process(self.process_definition_id)
self.waiter.start()
self.pd_cli.schedule_process(self.process_definition_id,
process_schedule,
process_id=pid)
self.waiter.await_state_event(pid, ProcessStateEnum.WAITING)
# request unknown engine, with NEVER queuing mode. The request
# should be rejected.
# verifies L4-CI-CEI-RQ52
process_target = ProcessTarget(execution_engine_id="not-a-real-ee")
process_schedule = ProcessSchedule()
process_schedule.queueing_mode = ProcessQueueingMode.NEVER
process_schedule.target = process_target
rejected_pid = self.pd_cli.create_process(self.process_definition_id)
self.pd_cli.schedule_process(self.process_definition_id,
process_schedule,
process_id=rejected_pid)
self.waiter.await_state_event(rejected_pid, ProcessStateEnum.REJECTED)
# now add a node and eeagent for engine2. original process should leave
# queue and start running
node2_id = uuid.uuid4().hex
self._send_node_state("engine2", node2_id)
self._start_eeagent(node2_id)
self.waiter.await_state_event(pid, ProcessStateEnum.RUNNING)
# spawn another process. it should start immediately.
process_target = ProcessTarget(execution_engine_id="engine2")
process_schedule = ProcessSchedule()
process_schedule.queueing_mode = ProcessQueueingMode.NEVER
process_schedule.target = process_target
pid2 = self.pd_cli.create_process(self.process_definition_id)
self.pd_cli.schedule_process(self.process_definition_id,
process_schedule,
process_id=pid2)
self.waiter.await_state_event(pid2, ProcessStateEnum.RUNNING)
# one more with node exclusive
process_target = ProcessTarget(execution_engine_id="engine2",
node_exclusive="hats")
process_schedule = ProcessSchedule()
process_schedule.queueing_mode = ProcessQueueingMode.NEVER
process_schedule.target = process_target
pid3 = self.pd_cli.create_process(self.process_definition_id)
self.pd_cli.schedule_process(self.process_definition_id,
process_schedule,
process_id=pid3)
self.waiter.await_state_event(pid3, ProcessStateEnum.RUNNING)
# kill the processes for good
self.pd_cli.cancel_process(pid)
self.waiter.await_state_event(pid, ProcessStateEnum.TERMINATED)
self.pd_cli.cancel_process(pid2)
self.waiter.await_state_event(pid2, ProcessStateEnum.TERMINATED)
self.pd_cli.cancel_process(pid3)
self.waiter.await_state_event(pid3, ProcessStateEnum.TERMINATED)
def test_node_exclusive(self):
# the node_exclusive constraint is used to ensure multiple processes
# of the same "kind" each get a VM exclusive of each other. Other
# processes may run on these VMs, just not processes with the same
# node_exclusive tag. Since we cannot directly query the contents
# of each node in this test, we prove the capability by scheduling
# processes one by one and checking their state.
# verifies L4-CI-CEI-RQ121
# verifies L4-CI-CEI-RQ57
# first off, setUp() created a single node and eeagent.
# We schedule two processes with the same "abc" node_exclusive
# tag. Since there is only one node, the first process should run
# and the second should be queued.
process_target = ProcessTarget(execution_engine_id="engine1")
process_target.node_exclusive = "abc"
process_schedule = ProcessSchedule()
process_schedule.queueing_mode = ProcessQueueingMode.ALWAYS
process_schedule.target = process_target
pid1 = self.pd_cli.create_process(self.process_definition_id)
self.waiter.start()
self.pd_cli.schedule_process(self.process_definition_id,
process_schedule,
process_id=pid1)
self.waiter.await_state_event(pid1, ProcessStateEnum.RUNNING)
pid2 = self.pd_cli.create_process(self.process_definition_id)
self.pd_cli.schedule_process(self.process_definition_id,
process_schedule,
process_id=pid2)
self.waiter.await_state_event(pid2, ProcessStateEnum.WAITING)
# now demonstrate that the node itself is not full by launching
# a third process without a node_exclusive tag -- it should start
# immediately
process_target.node_exclusive = None
pid3 = self.pd_cli.create_process(self.process_definition_id)
self.pd_cli.schedule_process(self.process_definition_id,
process_schedule,
process_id=pid3)
self.waiter.await_state_event(pid3, ProcessStateEnum.RUNNING)
# finally, add a second node to the engine. pid2 should be started
# since there is an exclusive "abc" node free.
node2_id = uuid.uuid4().hex
self._send_node_state("engine1", node2_id)
self._start_eeagent(node2_id)
self.waiter.await_state_event(pid2, ProcessStateEnum.RUNNING)
# kill the processes for good
self.pd_cli.cancel_process(pid1)
self.waiter.await_state_event(pid1, ProcessStateEnum.TERMINATED)
self.pd_cli.cancel_process(pid2)
self.waiter.await_state_event(pid2, ProcessStateEnum.TERMINATED)
self.pd_cli.cancel_process(pid3)
self.waiter.await_state_event(pid3, ProcessStateEnum.TERMINATED)
def test_code_download(self):
# create a process definition that has no URL; only module and class.
process_definition_no_url = ProcessDefinition(
name='test_process_nodownload')
process_definition_no_url.executable = {
'module': 'ion.my.test.process',
'class': 'TestProcess'
}
process_definition_id_no_url = self.pd_cli.create_process_definition(
process_definition_no_url)
# create another that has a URL of the python file (this very file)
# verifies L4-CI-CEI-RQ114
url = "file://%s" % os.path.join(os.path.dirname(__file__),
'test_process_dispatcher.py')
process_definition = ProcessDefinition(name='test_process_download')
process_definition.executable = {
'module': 'ion.my.test.process',
'class': 'TestProcess',
'url': url
}
process_definition_id = self.pd_cli.create_process_definition(
process_definition)
process_target = ProcessTarget()
process_schedule = ProcessSchedule()
process_schedule.queueing_mode = ProcessQueueingMode.ALWAYS
process_schedule.target = process_target
self.waiter.start()
# Test a module with no download fails
pid_no_url = self.pd_cli.create_process(process_definition_id_no_url)
self.pd_cli.schedule_process(process_definition_id_no_url,
process_schedule,
process_id=pid_no_url)
self.waiter.await_state_event(pid_no_url, ProcessStateEnum.FAILED)
# Test a module with a URL runs
pid = self.pd_cli.create_process(process_definition_id)
self.pd_cli.schedule_process(process_definition_id,
process_schedule,
process_id=pid)
self.waiter.await_state_event(pid, ProcessStateEnum.RUNNING)
def _add_test_process(self, restart_mode=None):
process_schedule = ProcessSchedule()
if restart_mode is not None:
process_schedule.restart_mode = restart_mode
pid = self.pd_cli.create_process(self.process_definition_id)
pid_listen_name = "PDtestproc_%s" % uuid.uuid4().hex
config = {'process': {'listen_name': pid_listen_name}}
self.pd_cli.schedule_process(self.process_definition_id,
process_schedule,
process_id=pid,
configuration=config)
client = TestClient(to_name=pid_listen_name)
return pid, client
def test_restart(self):
self.waiter.start()
restartable_pids = []
nonrestartable_pids = []
clients = {}
# start 10 processes with RestartMode.ALWAYS
for _ in range(10):
pid, client = self._add_test_process(ProcessRestartMode.ALWAYS)
restartable_pids.append(pid)
clients[pid] = client
# and 10 processes with RestartMode.ABNORMAL
for _ in range(10):
pid, client = self._add_test_process(ProcessRestartMode.ABNORMAL)
restartable_pids.append(pid)
clients[pid] = client
# and 10 with RestartMode.NEVER
for _ in range(10):
pid, client = self._add_test_process(ProcessRestartMode.NEVER)
nonrestartable_pids.append(pid)
clients[pid] = client
all_pids = restartable_pids + nonrestartable_pids
self.waiter.await_many_state_events(all_pids, ProcessStateEnum.RUNNING)
for pid in all_pids:
client = clients[pid]
self.assertFalse(client.is_restart())
self.assertEqual(client.count(), 1)
# now kill the whole eeagent and restart it. processes should
# show up as FAILED in the next heartbeat.
resource_id = self._eea_pid_to_resource_id[self._initial_eea_pid]
persistence_dir = self._eea_pid_to_persistence_dir[
self._initial_eea_pid]
log.debug("Restarting eeagent %s", self._initial_eea_pid)
self._kill_eeagent(self._initial_eea_pid)
# manually kill the processes to simulate a real container failure
for pid in all_pids:
self.container.terminate_process(pid)
self._start_eeagent(self.node1_id,
resource_id=resource_id,
persistence_dir=persistence_dir)
# wait for restartables to restart
self.waiter.await_many_state_events(restartable_pids,
ProcessStateEnum.RUNNING)
# query the processes again. it should have restart mode config
for pid in restartable_pids:
client = clients[pid]
self.assertTrue(client.is_restart())
self.assertEqual(client.count(), 1)
# meanwhile some procs should not have restarted
for pid in nonrestartable_pids:
proc = self.pd_cli.read_process(pid)
self.assertEqual(proc.process_state, ProcessStateEnum.FAILED)
# guard against extraneous events we were receiving as part of a bug:
# processes restarting again after they were already restarted
self.waiter.await_nothing(timeout=5)
def test_idempotency(self):
# ensure every operation can be safely retried
process_schedule = ProcessSchedule()
process_schedule.queueing_mode = ProcessQueueingMode.ALWAYS
proc_name = 'myreallygoodname'
pid = self.pd_cli.create_process(self.process_definition_id)
self.waiter.start(pid)
# note: if we import UNSCHEDULED state into ProcessStateEnum,
# this assertion will need to change.
proc = self.pd_cli.read_process(pid)
self.assertEqual(proc.process_id, pid)
self.assertEqual(proc.process_state, ProcessStateEnum.REQUESTED)
pid2 = self.pd_cli.schedule_process(self.process_definition_id,
process_schedule,
configuration={},
process_id=pid,
name=proc_name)
self.assertEqual(pid, pid2)
self.waiter.await_state_event(pid, ProcessStateEnum.RUNNING)
# repeating schedule is harmless
pid2 = self.pd_cli.schedule_process(self.process_definition_id,
process_schedule,
configuration={},
process_id=pid,
name=proc_name)
self.assertEqual(pid, pid2)
proc = self.pd_cli.read_process(pid)
self.assertEqual(proc.process_id, pid)
self.assertEqual(proc.process_configuration, {})
self.assertEqual(proc.process_state, ProcessStateEnum.RUNNING)
self.pd_cli.cancel_process(pid)
self.waiter.await_state_event(pid, ProcessStateEnum.TERMINATED)
# repeating cancel is harmless
self.pd_cli.cancel_process(pid)
proc = self.pd_cli.read_process(pid)
self.assertEqual(proc.process_id, pid)
self.assertEqual(proc.process_configuration, {})
self.assertEqual(proc.process_state, ProcessStateEnum.TERMINATED)
class ProcessDispatcherServiceIntTest(IonIntegrationTestCase):
def setUp(self):
self._start_container()
self.container.start_rel_from_url('res/deploy/r2cei.yml')
self.rr_cli = ResourceRegistryServiceClient()
self.pd_cli = ProcessDispatcherServiceClient(node=self.container.node)
self.process_definition = ProcessDefinition(name='test_process')
self.process_definition.executable = {
'module': 'ion.services.cei.test.test_process_dispatcher',
'class': 'TestProcess'
}
self.process_definition_id = self.pd_cli.create_process_definition(
self.process_definition)
self.waiter = ProcessStateWaiter()
def tearDown(self):
self.waiter.stop()
def test_create_schedule_cancel(self):
process_schedule = ProcessSchedule()
process_schedule.queueing_mode = ProcessQueueingMode.ALWAYS
proc_name = 'myreallygoodname'
pid = self.pd_cli.create_process(self.process_definition_id)
self.waiter.start(pid)
pid2 = self.pd_cli.schedule_process(self.process_definition_id,
process_schedule,
configuration={},
process_id=pid,
name=proc_name)
self.assertEqual(pid, pid2)
# verifies L4-CI-CEI-RQ141 and L4-CI-CEI-RQ142
self.waiter.await_state_event(pid, ProcessStateEnum.RUNNING)
proc = self.pd_cli.read_process(pid)
self.assertEqual(proc.process_id, pid)
self.assertEqual(proc.process_configuration, {})
self.assertEqual(proc.process_state, ProcessStateEnum.RUNNING)
# make sure process is readable directly from RR (mirrored)
# verifies L4-CI-CEI-RQ63
# verifies L4-CI-CEI-RQ64
proc = self.rr_cli.read(pid)
self.assertEqual(proc.process_id, pid)
# now try communicating with the process to make sure it is really running
test_client = TestClient()
for i in range(5):
self.assertEqual(i + 1, test_client.count(timeout=10))
# verifies L4-CI-CEI-RQ147
# check the process name was set in container
got_proc_name = test_client.get_process_name(pid=pid2)
self.assertEqual(proc_name, got_proc_name)
# kill the process and start it again
self.pd_cli.cancel_process(pid)
self.waiter.await_state_event(pid, ProcessStateEnum.TERMINATED)
pid2 = self.pd_cli.schedule_process(self.process_definition_id,
process_schedule,
configuration={},
process_id=pid)
self.assertEqual(pid, pid2)
self.waiter.await_state_event(pid, ProcessStateEnum.RUNNING)
for i in range(5):
self.assertEqual(i + 1, test_client.count(timeout=10))
# kill the process for good
self.pd_cli.cancel_process(pid)
self.waiter.await_state_event(pid, ProcessStateEnum.TERMINATED)
def test_schedule_with_config(self):
process_schedule = ProcessSchedule()
process_schedule.queueing_mode = ProcessQueueingMode.ALWAYS
pid = self.pd_cli.create_process(self.process_definition_id)
self.waiter.start(pid)
# verifies L4-CI-CEI-RQ66
# feed in a string that the process will return -- verifies that
# configuration actually makes it to the instantiated process
test_response = uuid.uuid4().hex
configuration = {"test_response": test_response}
pid2 = self.pd_cli.schedule_process(self.process_definition_id,
process_schedule,
configuration=configuration,
process_id=pid)
self.assertEqual(pid, pid2)
self.waiter.await_state_event(pid, ProcessStateEnum.RUNNING)
test_client = TestClient()
# verifies L4-CI-CEI-RQ139
# assure that configuration block (which can contain inputs, outputs,
# and arbitrary config) 1) makes it to the process and 2) is returned
# in process queries
self.assertEqual(test_client.query(), test_response)
proc = self.pd_cli.read_process(pid)
self.assertEqual(proc.process_id, pid)
self.assertEqual(proc.process_configuration, configuration)
# kill the process for good
self.pd_cli.cancel_process(pid)
self.waiter.await_state_event(pid, ProcessStateEnum.TERMINATED)
def test_schedule_bad_config(self):
process_schedule = ProcessSchedule()
# a non-JSON-serializable IonObject
o = ProcessTarget()
with self.assertRaises(BadRequest) as ar:
self.pd_cli.schedule_process(self.process_definition_id,
process_schedule,
configuration={"bad": o})
self.assertTrue(ar.exception.message.startswith("bad configuration"))
def test_cancel_notfound(self):
with self.assertRaises(NotFound):
self.pd_cli.cancel_process("not-a-real-process-id")
def test_create_invalid_definition(self):
# create process definition missing module and class
# verifies L4-CI-CEI-RQ137
executable = dict(url="http://somewhere.com/something.py")
definition = ProcessDefinition(name="test_process",
executable=executable)
with self.assertRaises(BadRequest):
self.pd_cli.create_process_definition(definition)
class TestActivateInstrumentIntegration(IonIntegrationTestCase):
def setUp(self):
# Start container
super(TestActivateInstrumentIntegration, self).setUp()
config = DotDict()
config.bootstrap.use_es = True
self._start_container()
self.addCleanup(TestActivateInstrumentIntegration.es_cleanup)
self.container.start_rel_from_url('res/deploy/r2deploy.yml', config)
# Now create client to DataProductManagementService
self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
self.damsclient = DataAcquisitionManagementServiceClient(
node=self.container.node)
self.pubsubcli = PubsubManagementServiceClient(
node=self.container.node)
self.imsclient = InstrumentManagementServiceClient(
node=self.container.node)
self.dpclient = DataProductManagementServiceClient(
node=self.container.node)
self.datasetclient = DatasetManagementServiceClient(
node=self.container.node)
self.processdispatchclient = ProcessDispatcherServiceClient(
node=self.container.node)
self.dataprocessclient = DataProcessManagementServiceClient(
node=self.container.node)
self.dataproductclient = DataProductManagementServiceClient(
node=self.container.node)
self.dataretrieverclient = DataRetrieverServiceClient(
node=self.container.node)
self.dataset_management = DatasetManagementServiceClient()
self.usernotificationclient = UserNotificationServiceClient()
#setup listerner vars
self._data_greenlets = []
self._no_samples = None
self._samples_received = []
self.event_publisher = EventPublisher()
@staticmethod
def es_cleanup():
es_host = CFG.get_safe('server.elasticsearch.host', 'localhost')
es_port = CFG.get_safe('server.elasticsearch.port', '9200')
es = ep.ElasticSearch(host=es_host, port=es_port, timeout=10)
indexes = STD_INDEXES.keys()
indexes.append('%s_resources_index' % get_sys_name().lower())
indexes.append('%s_events_index' % get_sys_name().lower())
for index in indexes:
IndexManagementService._es_call(es.river_couchdb_delete, index)
IndexManagementService._es_call(es.index_delete, index)
def create_logger(self, name, stream_id=''):
# logger process
producer_definition = ProcessDefinition(name=name + '_logger')
producer_definition.executable = {
'module': 'ion.processes.data.stream_granule_logger',
'class': 'StreamGranuleLogger'
}
logger_procdef_id = self.processdispatchclient.create_process_definition(
process_definition=producer_definition)
configuration = {
'process': {
'stream_id': stream_id,
}
}
pid = self.processdispatchclient.schedule_process(
process_definition_id=logger_procdef_id,
configuration=configuration)
return pid
def _create_notification(self,
user_name='',
instrument_id='',
product_id=''):
#--------------------------------------------------------------------------------------
# Make notification request objects
#--------------------------------------------------------------------------------------
notification_request_1 = NotificationRequest(
name='notification_1',
origin=instrument_id,
origin_type="instrument",
event_type='ResourceLifecycleEvent')
notification_request_2 = NotificationRequest(
name='notification_2',
origin=product_id,
origin_type="data product",
event_type='DetectionEvent')
#--------------------------------------------------------------------------------------
# Create a user and get the user_id
#--------------------------------------------------------------------------------------
user = UserInfo()
user.name = user_name
user.contact.email = '*****@*****.**' % user_name
user_id, _ = self.rrclient.create(user)
#--------------------------------------------------------------------------------------
# Create notification
#--------------------------------------------------------------------------------------
self.usernotificationclient.create_notification(
notification=notification_request_1, user_id=user_id)
self.usernotificationclient.create_notification(
notification=notification_request_2, user_id=user_id)
log.debug(
"test_activateInstrumentSample: create_user_notifications user_id %s",
str(user_id))
return user_id
def get_datastore(self, dataset_id):
dataset = self.datasetclient.read_dataset(dataset_id)
datastore_name = dataset.datastore_name
datastore = self.container.datastore_manager.get_datastore(
datastore_name, DataStore.DS_PROFILE.SCIDATA)
return datastore
def _check_computed_attributes_of_extended_instrument(
self, expected_instrument_device_id='', extended_instrument=None):
# Verify that computed attributes exist for the extended instrument
self.assertIsInstance(extended_instrument.computed.firmware_version,
ComputedFloatValue)
self.assertIsInstance(
extended_instrument.computed.last_data_received_datetime,
ComputedFloatValue)
self.assertIsInstance(
extended_instrument.computed.last_calibration_datetime,
ComputedFloatValue)
self.assertIsInstance(extended_instrument.computed.uptime,
ComputedStringValue)
self.assertIsInstance(
extended_instrument.computed.power_status_roll_up,
ComputedIntValue)
self.assertIsInstance(
extended_instrument.computed.communications_status_roll_up,
ComputedIntValue)
self.assertIsInstance(extended_instrument.computed.data_status_roll_up,
ComputedIntValue)
self.assertIsInstance(
extended_instrument.computed.location_status_roll_up,
ComputedIntValue)
# the following assert will not work without elasticsearch.
#self.assertEqual( 1, len(extended_instrument.computed.user_notification_requests.value) )
self.assertEqual(
extended_instrument.computed.communications_status_roll_up.value,
StatusType.STATUS_WARNING)
self.assertEqual(
extended_instrument.computed.data_status_roll_up.value,
StatusType.STATUS_OK)
self.assertEqual(
extended_instrument.computed.power_status_roll_up.value,
StatusType.STATUS_WARNING)
# Verify the computed attribute for user notification requests
self.assertEqual(
1,
len(extended_instrument.computed.user_notification_requests.value))
notifications = extended_instrument.computed.user_notification_requests.value
notification = notifications[0]
self.assertEqual(notification.origin, expected_instrument_device_id)
self.assertEqual(notification.origin_type, "instrument")
self.assertEqual(notification.event_type, 'ResourceLifecycleEvent')
def _check_computed_attributes_of_extended_product(
self, expected_data_product_id='', extended_data_product=None):
self.assertEqual(expected_data_product_id, extended_data_product._id)
log.debug("extended_data_product.computed: %s",
extended_data_product.computed)
# Verify that computed attributes exist for the extended instrument
self.assertIsInstance(
extended_data_product.computed.product_download_size_estimated,
ComputedIntValue)
self.assertIsInstance(
extended_data_product.computed.number_active_subscriptions,
ComputedIntValue)
self.assertIsInstance(extended_data_product.computed.data_url,
ComputedStringValue)
self.assertIsInstance(extended_data_product.computed.stored_data_size,
ComputedIntValue)
self.assertIsInstance(extended_data_product.computed.recent_granules,
ComputedDictValue)
self.assertIsInstance(extended_data_product.computed.parameters,
ComputedListValue)
self.assertIsInstance(extended_data_product.computed.recent_events,
ComputedEventListValue)
self.assertIsInstance(extended_data_product.computed.provenance,
ComputedDictValue)
self.assertIsInstance(
extended_data_product.computed.user_notification_requests,
ComputedListValue)
self.assertIsInstance(
extended_data_product.computed.active_user_subscriptions,
ComputedListValue)
self.assertIsInstance(
extended_data_product.computed.past_user_subscriptions,
ComputedListValue)
self.assertIsInstance(extended_data_product.computed.last_granule,
ComputedDictValue)
self.assertIsInstance(extended_data_product.computed.is_persisted,
ComputedIntValue)
self.assertIsInstance(
extended_data_product.computed.data_contents_updated,
ComputedStringValue)
self.assertIsInstance(extended_data_product.computed.data_datetime,
ComputedListValue)
# exact text here keeps changing to fit UI capabilities. keep assertion general...
self.assertTrue('ok' in extended_data_product.computed.last_granule.
value['quality_flag'])
self.assertEqual(
2, len(extended_data_product.computed.data_datetime.value))
notifications = extended_data_product.computed.user_notification_requests.value
notification = notifications[0]
self.assertEqual(notification.origin, expected_data_product_id)
self.assertEqual(notification.origin_type, "data product")
self.assertEqual(notification.event_type, 'DetectionEvent')
@attr('LOCOINT')
@unittest.skipIf(not use_es, 'No ElasticSearch')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),
'Skip test while in CEI LAUNCH mode')
@patch.dict(CFG, {'endpoint': {'receive': {'timeout': 60}}})
def test_activateInstrumentSample(self):
self.loggerpids = []
# Create InstrumentModel
instModel_obj = IonObject(RT.InstrumentModel,
name='SBE37IMModel',
description="SBE37IMModel")
instModel_id = self.imsclient.create_instrument_model(instModel_obj)
log.debug('new InstrumentModel id = %s ', instModel_id)
#Create stream alarms
"""
test_two_sided_interval
Test interval alarm and alarm event publishing for a closed
inteval.
"""
# kwargs = {
# 'name' : 'test_sim_warning',
# 'stream_name' : 'parsed',
# 'value_id' : 'temp',
# 'message' : 'Temperature is above test range of 5.0.',
# 'type' : StreamAlarmType.WARNING,
# 'upper_bound' : 5.0,
# 'upper_rel_op' : '<'
# }
kwargs = {
'name': 'temperature_warning_interval',
'stream_name': 'parsed',
'value_id': 'temp',
'message':
'Temperature is below the normal range of 50.0 and above.',
'type': StreamAlarmType.WARNING,
'lower_bound': 50.0,
'lower_rel_op': '<'
}
# Create alarm object.
alarm = {}
alarm['type'] = 'IntervalAlarmDef'
alarm['kwargs'] = kwargs
raw_config = StreamConfiguration(
stream_name='raw',
parameter_dictionary_name='ctd_raw_param_dict',
records_per_granule=2,
granule_publish_rate=5)
parsed_config = StreamConfiguration(
stream_name='parsed',
parameter_dictionary_name='ctd_parsed_param_dict',
records_per_granule=2,
granule_publish_rate=5,
alarms=[alarm])
# Create InstrumentAgent
instAgent_obj = IonObject(
RT.InstrumentAgent,
name='agent007',
description="SBE37IMAgent",
driver_uri=
"http://sddevrepo.oceanobservatories.org/releases/seabird_sbe37smb_ooicore-0.0.1a-py2.7.egg",
stream_configurations=[raw_config, parsed_config])
instAgent_id = self.imsclient.create_instrument_agent(instAgent_obj)
log.debug('new InstrumentAgent id = %s', instAgent_id)
self.imsclient.assign_instrument_model_to_instrument_agent(
instModel_id, instAgent_id)
# Create InstrumentDevice
log.debug(
'test_activateInstrumentSample: Create instrument resource to represent the SBE37 (SA Req: L4-CI-SA-RQ-241) '
)
instDevice_obj = IonObject(RT.InstrumentDevice,
name='SBE37IMDevice',
description="SBE37IMDevice",
serial_number="12345")
instDevice_id = self.imsclient.create_instrument_device(
instrument_device=instDevice_obj)
self.imsclient.assign_instrument_model_to_instrument_device(
instModel_id, instDevice_id)
log.debug(
"test_activateInstrumentSample: new InstrumentDevice id = %s (SA Req: L4-CI-SA-RQ-241) ",
instDevice_id)
port_agent_config = {
'device_addr': CFG.device.sbe37.host,
'device_port': CFG.device.sbe37.port,
'process_type': PortAgentProcessType.UNIX,
'binary_path': "port_agent",
'port_agent_addr': 'localhost',
'command_port': CFG.device.sbe37.port_agent_cmd_port,
'data_port': CFG.device.sbe37.port_agent_data_port,
'log_level': 5,
'type': PortAgentType.ETHERNET
}
instAgentInstance_obj = IonObject(RT.InstrumentAgentInstance,
name='SBE37IMAgentInstance',
description="SBE37IMAgentInstance",
port_agent_config=port_agent_config)
instAgentInstance_id = self.imsclient.create_instrument_agent_instance(
instAgentInstance_obj, instAgent_id, instDevice_id)
tdom, sdom = time_series_domain()
sdom = sdom.dump()
tdom = tdom.dump()
parsed_pdict_id = self.dataset_management.read_parameter_dictionary_by_name(
'ctd_parsed_param_dict', id_only=True)
parsed_stream_def_id = self.pubsubcli.create_stream_definition(
name='parsed', parameter_dictionary_id=parsed_pdict_id)
raw_pdict_id = self.dataset_management.read_parameter_dictionary_by_name(
'ctd_raw_param_dict', id_only=True)
raw_stream_def_id = self.pubsubcli.create_stream_definition(
name='raw', parameter_dictionary_id=raw_pdict_id)
#-------------------------------
# Create Raw and Parsed Data Products for the device
#-------------------------------
dp_obj = IonObject(RT.DataProduct,
name='the parsed data',
description='ctd stream test',
temporal_domain=tdom,
spatial_domain=sdom)
data_product_id1 = self.dpclient.create_data_product(
data_product=dp_obj, stream_definition_id=parsed_stream_def_id)
log.debug('new dp_id = %s', data_product_id1)
self.dpclient.activate_data_product_persistence(
data_product_id=data_product_id1)
self.damsclient.assign_data_product(input_resource_id=instDevice_id,
data_product_id=data_product_id1)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(data_product_id1,
PRED.hasStream, None, True)
log.debug('Data product streams1 = %s', stream_ids)
# Retrieve the id of the OUTPUT stream from the out Data Product
dataset_ids, _ = self.rrclient.find_objects(data_product_id1,
PRED.hasDataset,
RT.Dataset, True)
log.debug('Data set for data_product_id1 = %s', dataset_ids[0])
self.parsed_dataset = dataset_ids[0]
pid = self.create_logger('ctd_parsed', stream_ids[0])
self.loggerpids.append(pid)
dp_obj = IonObject(RT.DataProduct,
name='the raw data',
description='raw stream test',
temporal_domain=tdom,
spatial_domain=sdom)
data_product_id2 = self.dpclient.create_data_product(
data_product=dp_obj, stream_definition_id=raw_stream_def_id)
log.debug('new dp_id = %s', data_product_id2)
self.damsclient.assign_data_product(input_resource_id=instDevice_id,
data_product_id=data_product_id2)
self.dpclient.activate_data_product_persistence(
data_product_id=data_product_id2)
# setup notifications for the device and parsed data product
user_id_1 = self._create_notification(user_name='user_1',
instrument_id=instDevice_id,
product_id=data_product_id1)
#---------- Create notifications for another user and verify that we see different computed subscriptions for the two users ---------
user_id_2 = self._create_notification(user_name='user_2',
instrument_id=instDevice_id,
product_id=data_product_id2)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(data_product_id2,
PRED.hasStream, None, True)
log.debug('Data product streams2 = %s', str(stream_ids))
# Retrieve the id of the OUTPUT stream from the out Data Product
dataset_ids, _ = self.rrclient.find_objects(data_product_id2,
PRED.hasDataset,
RT.Dataset, True)
log.debug('Data set for data_product_id2 = %s', dataset_ids[0])
self.raw_dataset = dataset_ids[0]
#elastic search debug
es_indexes, _ = self.container.resource_registry.find_resources(
restype='ElasticSearchIndex')
log.debug('ElasticSearch indexes: %s', [i.name for i in es_indexes])
log.debug('Bootstrap %s', CFG.bootstrap.use_es)
def start_instrument_agent():
self.imsclient.start_instrument_agent_instance(
instrument_agent_instance_id=instAgentInstance_id)
gevent.joinall([gevent.spawn(start_instrument_agent)])
#setup a subscriber to alarm events from the device
self._events_received = []
self._event_count = 0
self._samples_out_of_range = 0
self._samples_complete = False
self._async_sample_result = AsyncResult()
def consume_event(*args, **kwargs):
log.debug(
'TestActivateInstrument recieved ION event: args=%s, kwargs=%s, event=%s.',
str(args), str(kwargs), str(args[0]))
self._events_received.append(args[0])
self._event_count = len(self._events_received)
self._async_sample_result.set()
self._event_subscriber = EventSubscriber(
event_type=
'StreamWarningAlarmEvent', #'StreamWarningAlarmEvent', # StreamAlarmEvent
callback=consume_event,
origin=instDevice_id)
self._event_subscriber.start()
#cleanup
self.addCleanup(self.imsclient.stop_instrument_agent_instance,
instrument_agent_instance_id=instAgentInstance_id)
def stop_subscriber():
self._event_subscriber.stop()
self._event_subscriber = None
self.addCleanup(stop_subscriber)
#wait for start
inst_agent_instance_obj = self.imsclient.read_instrument_agent_instance(
instAgentInstance_id)
gate = ProcessStateGate(self.processdispatchclient.read_process,
inst_agent_instance_obj.agent_process_id,
ProcessStateEnum.RUNNING)
self.assertTrue(
gate. await (30),
"The instrument agent instance (%s) did not spawn in 30 seconds" %
inst_agent_instance_obj.agent_process_id)
log.debug('Instrument agent instance obj: = %s',
str(inst_agent_instance_obj))
# Start a resource agent client to talk with the instrument agent.
self._ia_client = ResourceAgentClient(
instDevice_id,
to_name=inst_agent_instance_obj.agent_process_id,
process=FakeProcess())
log.debug("test_activateInstrumentSample: got ia client %s",
str(self._ia_client))
cmd = AgentCommand(command=ResourceAgentEvent.INITIALIZE)
retval = self._ia_client.execute_agent(cmd)
log.debug("test_activateInstrumentSample: initialize %s", str(retval))
state = self._ia_client.get_agent_state()
self.assertEqual(state, ResourceAgentState.INACTIVE)
log.debug("(L4-CI-SA-RQ-334): Sending go_active command ")
cmd = AgentCommand(command=ResourceAgentEvent.GO_ACTIVE)
reply = self._ia_client.execute_agent(cmd)
log.debug("test_activateInstrument: return value from go_active %s",
str(reply))
state = self._ia_client.get_agent_state()
self.assertEqual(state, ResourceAgentState.IDLE)
cmd = AgentCommand(command=ResourceAgentEvent.GET_RESOURCE_STATE)
retval = self._ia_client.execute_agent(cmd)
state = retval.result
log.debug(
"(L4-CI-SA-RQ-334): current state after sending go_active command %s",
str(state))
cmd = AgentCommand(command=ResourceAgentEvent.RUN)
reply = self._ia_client.execute_agent(cmd)
log.debug("test_activateInstrumentSample: run %s", str(reply))
state = self._ia_client.get_agent_state()
self.assertEqual(state, ResourceAgentState.COMMAND)
cmd = AgentCommand(command=ResourceAgentEvent.PAUSE)
retval = self._ia_client.execute_agent(cmd)
state = self._ia_client.get_agent_state()
self.assertEqual(state, ResourceAgentState.STOPPED)
cmd = AgentCommand(command=ResourceAgentEvent.RESUME)
retval = self._ia_client.execute_agent(cmd)
state = self._ia_client.get_agent_state()
self.assertEqual(state, ResourceAgentState.COMMAND)
cmd = AgentCommand(command=ResourceAgentEvent.CLEAR)
retval = self._ia_client.execute_agent(cmd)
state = self._ia_client.get_agent_state()
self.assertEqual(state, ResourceAgentState.IDLE)
cmd = AgentCommand(command=ResourceAgentEvent.RUN)
retval = self._ia_client.execute_agent(cmd)
state = self._ia_client.get_agent_state()
self.assertEqual(state, ResourceAgentState.COMMAND)
cmd = AgentCommand(command=SBE37ProtocolEvent.ACQUIRE_SAMPLE)
for i in xrange(10):
retval = self._ia_client.execute_resource(cmd)
log.debug("test_activateInstrumentSample: return from sample %s",
str(retval))
log.debug("test_activateInstrumentSample: calling reset ")
cmd = AgentCommand(command=ResourceAgentEvent.RESET)
reply = self._ia_client.execute_agent(cmd)
log.debug("test_activateInstrumentSample: return from reset %s",
str(reply))
self._samples_complete = True
#--------------------------------------------------------------------------------
# Now get the data in one chunk using an RPC Call to start_retreive
#--------------------------------------------------------------------------------
replay_data = self.dataretrieverclient.retrieve(self.parsed_dataset)
self.assertIsInstance(replay_data, Granule)
rdt = RecordDictionaryTool.load_from_granule(replay_data)
log.debug("test_activateInstrumentSample: RDT parsed: %s",
str(rdt.pretty_print()))
temp_vals = rdt['temp']
self.assertEquals(len(temp_vals), 10)
log.debug("test_activateInstrumentSample: all temp_vals: %s",
temp_vals)
#out_of_range_temp_vals = [i for i in temp_vals if i > 5]
out_of_range_temp_vals = [i for i in temp_vals if i < 50.0]
log.debug("test_activateInstrumentSample: Out_of_range_temp_vals: %s",
out_of_range_temp_vals)
self._samples_out_of_range = len(out_of_range_temp_vals)
# if no bad values were produced, then do not wait for an event
if self._samples_out_of_range == 0:
self._async_sample_result.set()
log.debug("test_activateInstrumentSample: _events_received: %s",
self._events_received)
log.debug("test_activateInstrumentSample: _event_count: %s",
self._event_count)
self._async_sample_result.get(timeout=CFG.endpoint.receive.timeout)
replay_data = self.dataretrieverclient.retrieve(self.raw_dataset)
self.assertIsInstance(replay_data, Granule)
rdt = RecordDictionaryTool.load_from_granule(replay_data)
log.debug("RDT raw: %s", str(rdt.pretty_print()))
raw_vals = rdt['raw']
self.assertEquals(len(raw_vals), 10)
log.debug("l4-ci-sa-rq-138")
"""
Physical resource control shall be subject to policy
Instrument management control capabilities shall be subject to policy
The actor accessing the control capabilities must be authorized to send commands.
note from maurice 2012-05-18: Talk to tim M to verify that this is policy. If it is then talk with Stephen to
get an example of a policy test and use that to create a test stub that will be
completed when we have instrument policies.
Tim M: The "actor", aka observatory operator, will access the instrument through ION.
"""
#--------------------------------------------------------------------------------
# Get the extended data product to see if it contains the granules
#--------------------------------------------------------------------------------
extended_product = self.dpclient.get_data_product_extension(
data_product_id=data_product_id1, user_id=user_id_1)
def poller(extended_product):
return len(extended_product.computed.user_notification_requests.
value) == 1
poll(poller, extended_product, timeout=30)
self._check_computed_attributes_of_extended_product(
expected_data_product_id=data_product_id1,
extended_data_product=extended_product)
#--------------------------------------------------------------------------------
#put some events into the eventsdb to test - this should set the comms and data status to WARNING
#--------------------------------------------------------------------------------
t = get_ion_ts()
self.event_publisher.publish_event(ts_created=t,
event_type='DeviceStatusEvent',
origin=instDevice_id,
state=DeviceStatusType.OUT_OF_RANGE,
values=[200])
self.event_publisher.publish_event(
ts_created=t,
event_type='DeviceCommsEvent',
origin=instDevice_id,
state=DeviceCommsType.DATA_DELIVERY_INTERRUPTION,
lapse_interval_seconds=20)
#--------------------------------------------------------------------------------
# Get the extended instrument
#--------------------------------------------------------------------------------
extended_instrument = self.imsclient.get_instrument_device_extension(
instrument_device_id=instDevice_id, user_id=user_id_1)
self._check_computed_attributes_of_extended_instrument(
expected_instrument_device_id=instDevice_id,
extended_instrument=extended_instrument)
#--------------------------------------------------------------------------------
# For the second user, check the extended data product and the extended intrument
#--------------------------------------------------------------------------------
extended_product = self.dpclient.get_data_product_extension(
data_product_id=data_product_id2, user_id=user_id_2)
self._check_computed_attributes_of_extended_product(
expected_data_product_id=data_product_id2,
extended_data_product=extended_product)
#---------- Put some events into the eventsdb to test - this should set the comms and data status to WARNING ---------
t = get_ion_ts()
self.event_publisher.publish_event(ts_created=t,
event_type='DeviceStatusEvent',
origin=instDevice_id,
state=DeviceStatusType.OUT_OF_RANGE,
values=[200])
self.event_publisher.publish_event(
ts_created=t,
event_type='DeviceCommsEvent',
origin=instDevice_id,
state=DeviceCommsType.DATA_DELIVERY_INTERRUPTION,
lapse_interval_seconds=20)
#--------------------------------------------------------------------------------
# Get the extended instrument
#--------------------------------------------------------------------------------
extended_instrument = self.imsclient.get_instrument_device_extension(
instrument_device_id=instDevice_id, user_id=user_id_2)
self._check_computed_attributes_of_extended_instrument(
expected_instrument_device_id=instDevice_id,
extended_instrument=extended_instrument)
#--------------------------------------------------------------------------------
# Deactivate loggers
#--------------------------------------------------------------------------------
for pid in self.loggerpids:
self.processdispatchclient.cancel_process(pid)
self.dpclient.delete_data_product(data_product_id1)
self.dpclient.delete_data_product(data_product_id2)
class TestDataProductManagementServiceCoverage(IonIntegrationTestCase):
def setUp(self):
# Start container
#print 'instantiating container'
self._start_container()
log.debug("Start rel from url")
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
self.DPMS = DataProductManagementServiceClient()
self.RR = ResourceRegistryServiceClient()
self.RR2 = EnhancedResourceRegistryClient(self.RR)
self.DAMS = DataAcquisitionManagementServiceClient()
self.PSMS = PubsubManagementServiceClient()
self.ingestclient = IngestionManagementServiceClient()
self.PD = ProcessDispatcherServiceClient()
self.DSMS = DatasetManagementServiceClient()
self.unsc = UserNotificationServiceClient()
self.data_retriever = DataRetrieverServiceClient()
#------------------------------------------
# Create the environment
#------------------------------------------
log.debug("get datastore")
datastore_name = CACHE_DATASTORE_NAME
self.db = self.container.datastore_manager.get_datastore(datastore_name)
self.stream_def_id = self.PSMS.create_stream_definition(name='SBE37_CDM')
self.process_definitions = {}
ingestion_worker_definition = ProcessDefinition(name='ingestion worker')
ingestion_worker_definition.executable = {
'module':'ion.processes.data.ingestion.science_granule_ingestion_worker',
'class' :'ScienceGranuleIngestionWorker'
}
process_definition_id = self.PD.create_process_definition(process_definition=ingestion_worker_definition)
self.process_definitions['ingestion_worker'] = process_definition_id
self.pids = []
self.exchange_points = []
self.exchange_names = []
self.addCleanup(self.cleaning_up)
@staticmethod
def clean_subscriptions():
ingestion_management = IngestionManagementServiceClient()
pubsub = PubsubManagementServiceClient()
rr = ResourceRegistryServiceClient()
ingestion_config_ids = ingestion_management.list_ingestion_configurations(id_only=True)
for ic in ingestion_config_ids:
subscription_ids, assocs = rr.find_objects(subject=ic, predicate=PRED.hasSubscription, id_only=True)
for subscription_id, assoc in zip(subscription_ids, assocs):
rr.delete_association(assoc)
try:
pubsub.deactivate_subscription(subscription_id)
except:
log.exception("Unable to decativate subscription: %s", subscription_id)
pubsub.delete_subscription(subscription_id)
def cleaning_up(self):
for pid in self.pids:
log.debug("number of pids to be terminated: %s", len(self.pids))
try:
self.PD.cancel_process(pid)
log.debug("Terminated the process: %s", pid)
except:
log.debug("could not terminate the process id: %s" % pid)
TestDataProductManagementServiceCoverage.clean_subscriptions()
for xn in self.exchange_names:
xni = self.container.ex_manager.create_xn_queue(xn)
xni.delete()
for xp in self.exchange_points:
xpi = self.container.ex_manager.create_xp(xp)
xpi.delete()
def test_CRUD_data_product(self):
#------------------------------------------------------------------------------------------------
# create a stream definition for the data from the ctd simulator
#------------------------------------------------------------------------------------------------
parameter_dictionary = self.DSMS.read_parameter_dictionary_by_name('ctd_parsed_param_dict')
ctd_stream_def_id = self.PSMS.create_stream_definition(name='Simulated CTD data', parameter_dictionary_id=parameter_dictionary._id)
log.debug("Created stream def id %s" % ctd_stream_def_id)
#------------------------------------------------------------------------------------------------
# test creating a new data product w/o a stream definition
#------------------------------------------------------------------------------------------------
# Generic time-series data domain creation
tdom, sdom = time_series_domain()
dp_obj = IonObject(RT.DataProduct,
name='DP1',
description='some new dp',
temporal_domain = tdom.dump(),
spatial_domain = sdom.dump())
dp_obj.geospatial_bounds.geospatial_latitude_limit_north = 10.0
dp_obj.geospatial_bounds.geospatial_latitude_limit_south = -10.0
dp_obj.geospatial_bounds.geospatial_longitude_limit_east = 10.0
dp_obj.geospatial_bounds.geospatial_longitude_limit_west = -10.0
dp_obj.ooi_product_name = "PRODNAME"
#------------------------------------------------------------------------------------------------
# Create a set of ParameterContext objects to define the parameters in the coverage, add each to the ParameterDictionary
#------------------------------------------------------------------------------------------------
log.debug("create dataset")
dataset_id = self.RR2.create(any_old(RT.Dataset))
log.debug("dataset_id = %s", dataset_id)
log.debug("create data product 1")
dp_id = self.DPMS.create_data_product( data_product= dp_obj,
stream_definition_id=ctd_stream_def_id,
dataset_id=dataset_id)
log.debug("dp_id = %s", dp_id)
# Assert that the data product has an associated stream at this stage
stream_ids, _ = self.RR.find_objects(dp_id, PRED.hasStream, RT.Stream, True)
self.assertNotEquals(len(stream_ids), 0)
log.debug("read data product")
dp_obj = self.DPMS.read_data_product(dp_id)
log.debug("find data products")
self.assertIn(dp_id, [r._id for r in self.DPMS.find_data_products()])
log.debug("update data product")
dp_obj.name = "brand new"
self.DPMS.update_data_product(dp_obj)
self.assertEqual("brand new", self.DPMS.read_data_product(dp_id).name)
log.debug("activate/suspend persistence")
self.assertFalse(self.DPMS.is_persisted(dp_id))
self.DPMS.activate_data_product_persistence(dp_id)
self.addCleanup(self.DPMS.suspend_data_product_persistence, dp_id) # delete op will do this for us
self.assertTrue(self.DPMS.is_persisted(dp_id))
log.debug("check error on checking persistence of nonexistent stream")
#with self.assertRaises(NotFound):
if True:
self.DPMS.is_persisted(self.RR2.create(any_old(RT.DataProduct)))
#log.debug("get extension")
#self.DPMS.get_data_product_extension(dp_id)
log.debug("getting last update")
lastupdate = self.DPMS.get_last_update(dp_id)
self.assertEqual({}, lastupdate) # should be no updates to a new data product
log.debug("prepare resource support")
support = self.DPMS.prepare_data_product_support(dp_id)
self.assertIsNotNone(support)
log.debug("delete data product")
self.DPMS.delete_data_product(dp_id)
log.debug("try to suspend again")
self.DPMS.suspend_data_product_persistence(dp_id)
# try basic create
log.debug("create without a dataset")
dp_id2 = self.DPMS.create_data_product_(any_old(RT.DataProduct))
self.assertIsNotNone(dp_id2)
log.debug("activate product %s", dp_id2)
self.assertRaises(BadRequest, self.DPMS.activate_data_product_persistence, dp_id2)
#self.assertNotEqual(0, len(self.RR2.find_dataset_ids_of_data_product_using_has_dataset(dp_id2)))
log.debug("force delete data product")
self.DPMS.force_delete_data_product(dp_id2)
log.debug("test complete")
class HAProcessControl(object):
def __init__(self,
pd_name,
resource_registry,
service_id,
callback=None,
logprefix=""):
self.pd_name = pd_name
self.resource_registry = resource_registry
self.service_id = service_id
self.callback = callback
if callback and not callable(callback):
raise ValueError("callback is not callable")
self.logprefix = logprefix
self.client = ProcessDispatcherServiceClient(to_name=pd_name)
self.event_sub = EventSubscriber(event_type="ProcessLifecycleEvent",
callback=self._event_callback,
origin_type="DispatchedProcess",
auto_delete=True)
self.processes = {}
def start(self):
service = self.resource_registry.read(self.service_id)
process_assocs = self.resource_registry.find_associations(
service, "hasProcess")
for process_assoc in process_assocs:
process_id = process_assoc.o
if process_id:
try:
process = self.client.read_process(process_id)
except NotFound:
log.debug(
"%sService was associated with process %s, which is unknown to PD. ignoring.",
self.logprefix, process_id)
continue
state = process.process_state
state_str = ProcessStateEnum._str_map.get(state, str(state))
self.processes[process.process_id] = _process_dict_from_object(
process)
log.info("%srecovered process %s state=%s", self.logprefix,
process_id, state_str)
self.event_sub.start()
def stop(self):
self.event_sub.stop()
def get_managed_upids(self):
return self.processes.keys()
def _event_callback(self, event, *args, **kwargs):
if not event:
return
try:
self._inner_event_callback(event)
except (KeyboardInterrupt, SystemExit):
raise
except:
log.exception("%sException in event handler. This is a bug!",
self.logprefix)
def _inner_event_callback(self, event):
process_id = event.origin
state = event.state
state_str = ProcessStateEnum._str_map.get(state, str(state))
if not (process_id and process_id in self.processes):
# we receive events for all processes but ignore most
return
process = None
for _ in range(3):
try:
process = self.client.read_process(process_id)
break
except Timeout:
log.warn(
"Timeout trying to read process from Process Dispatcher!",
exc_info=True)
pass # retry
except NotFound:
break
if process:
log.info("%sreceived process %s state=%s", self.logprefix,
process_id, state_str)
# replace the cached data about this process
self.processes[process_id] = _process_dict_from_object(process)
else:
log.warn(
"%sReceived process %s event but failed to read from Process Dispatcher",
self.logprefix, process_id)
#XXX better approach here? we at least have the state from the event,
# so sticking that on cached process. We could miss other important
# data like hostname however.
self.processes[process_id]['state'] = process_state_to_pd_core(
state)
if self.callback:
try:
self.callback()
except (KeyboardInterrupt, SystemExit):
raise
except:
e = sys.exc_info()[0]
log.warn("%sError in HAAgent callback: %s",
self.logprefix,
e,
exc_info=True)
def _associate_process(self, process):
try:
self.resource_registry.create_association(self.service_id,
"hasProcess",
process.process_id)
except Exception:
log.exception("Couldn't associate service %s to process %s" %
(self.service_id, process.process_id))
def schedule_process(self, pd_name, process_definition_id, **kwargs):
if pd_name != self.pd_name:
raise Exception(
"schedule_process request received for unknown PD: %s" %
pd_name)
# figure out if there is an existing PID which can be reused
found_upid = None
for process in self.processes.values():
upid = process.get('upid')
state = process.get('state')
if not (upid and state):
continue
if state in CoreProcessState.TERMINAL_STATES:
found_upid = upid
if found_upid:
upid = found_upid
proc = self.client.read_process(upid)
else:
# otherwise create a new process and associate
upid = self.client.create_process(process_definition_id)
# note: if the HAAgent fails between the create call above and the
# associate call below, there may be orphaned Process objects. These
# processes will not however be running, so are largely harmless.
proc = self.client.read_process(upid)
self._associate_process(proc)
process_schedule = _get_process_schedule(**kwargs)
configuration = kwargs.get('configuration')
# cheat and roll the process state to REQUESTED before we actually
# schedule it. this is in-memory only, so should be harmless. This
# avoids a race between this scheduling process and the event
# subscriber.
proc.process_state = ProcessStateEnum.REQUESTED
self.processes[upid] = _process_dict_from_object(proc)
self.client.schedule_process(process_definition_id,
process_schedule,
configuration=configuration,
process_id=upid)
return upid
def terminate_process(self, pid):
return self.client.cancel_process(pid)
def get_all_processes(self):
processes = deepcopy(self.processes.values())
return {self.pd_name: processes}
def reload_processes(self):
for process_id, process_dict in self.processes.items():
try:
process = self.client.read_process(process_id)
except Exception:
log.warn(
"%sFailed to read process %s from PD. Will retry later.",
self.logprefix,
process_id,
exc_info=True)
continue
new_process_dict = _process_dict_from_object(process)
if new_process_dict['state'] != process_dict['state']:
log.warn(
"%sUpdating process %s record manually. we may have missed an event?",
self.logprefix, process_id)
self.processes[process_id] = new_process_dict
class TestTransformWorker(IonIntegrationTestCase):
def setUp(self):
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
self.dataset_management_client = DatasetManagementServiceClient(node=self.container.node)
self.pubsub_client = PubsubManagementServiceClient(node=self.container.node)
self.dataproductclient = DataProductManagementServiceClient(node=self.container.node)
self.dataprocessclient = DataProcessManagementServiceClient(node=self.container.node)
self.processdispatchclient = ProcessDispatcherServiceClient(node=self.container.node)
self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
self.time_dom, self.spatial_dom = time_series_domain()
@attr('LOCOINT')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False), 'Skip test while in CEI LAUNCH mode')
def test_transform_worker(self):
self.loggerpids = []
self.data_process_objs = []
self._output_stream_ids = []
self.start_transform_worker()
self.parameter_dict_id = self.dataset_management_client.read_parameter_dictionary_by_name(name='ctd_parsed_param_dict', id_only=True)
# create the StreamDefinition
self.stream_def_id = self.pubsub_client.create_stream_definition(name='stream_def', parameter_dictionary_id=self.parameter_dict_id)
self.addCleanup(self.pubsub_client.delete_stream_definition, self.stream_def_id)
# create the DataProduct
input_dp_obj = IonObject( RT.DataProduct, name='input_data_product', description='input test stream',
temporal_domain = self.time_dom.dump(), spatial_domain = self.spatial_dom.dump())
self.input_dp_id = self.dataproductclient.create_data_product(data_product=input_dp_obj, stream_definition_id=self.stream_def_id)
#retrieve the Stream for this data product
stream_ids, assoc_ids = self.rrclient.find_objects(self.input_dp_id, PRED.hasStream, RT.Stream, True)
self.stream_id = stream_ids[0]
#create a queue to catch the published granules
self.subscription_id = self.pubsub_client.create_subscription(name='parsed_subscription', stream_ids=[self.stream_id], exchange_name='parsed_subscription')
self.addCleanup(self.pubsub_client.delete_subscription, self.subscription_id)
self.pubsub_client.activate_subscription(self.subscription_id)
self.addCleanup(self.pubsub_client.deactivate_subscription, self.subscription_id)
stream_route = self.pubsub_client.read_stream_route(self.stream_id)
self.publisher = StandaloneStreamPublisher(stream_id=self.stream_id, stream_route=stream_route )
self.start_event_listener()
self.dp_list = self.create_data_processes()
self.data_modified = Event()
self.data_modified.wait(5)
rdt = RecordDictionaryTool(stream_definition_id=self.stream_def_id)
rdt['time'] = [0] # time should always come first
rdt['conductivity'] = [1]
rdt['pressure'] = [2]
rdt['salinity'] = [8]
self.publisher.publish(rdt.to_granule())
self.data_modified.wait(5)
# Cleanup processes
for pid in self.loggerpids:
self.processdispatchclient.cancel_process(pid)
def create_data_processes(self):
#two data processes using one transform and one DPD
dp1_func_output_dp_id, dp2_func_output_dp_id = self.create_output_data_products()
configuration = { 'argument_map':{'arr1':'conductivity', 'arr2':'pressure'}, 'output_param' : 'salinity' }
# Set up DPD and DP #2 - array add function
tf_obj = IonObject(RT.TransformFunction,
name='add_array_func',
description='adds values in an array',
function='add_arrays',
module="ion_example.add_arrays",
arguments=['arr1', 'arr2'],
function_type=TransformFunctionType.TRANSFORM
)
add_array_func_id, rev = self.rrclient.create(tf_obj)
dpd_obj = IonObject(RT.DataProcessDefinition,
name='add_arrays',
description='adds the values of two arrays',
data_process_type=DataProcessTypeEnum.TRANSFORM_PROCESS,
)
self.add_array_dpd_id = self.dataprocessclient.create_data_process_definition_new(data_process_definition=dpd_obj, function_id=add_array_func_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(self.stream_def_id, self.add_array_dpd_id, binding='add_array_func' )
# Create the data process
dp1_data_process_id = self.dataprocessclient.create_data_process_new(data_process_definition_id=self.add_array_dpd_id, in_data_product_ids=[self.input_dp_id],
out_data_product_ids=[dp1_func_output_dp_id], configuration=configuration)
# Create the data process
dp2_func_data_process_id = self.dataprocessclient.create_data_process_new(data_process_definition_id=self.add_array_dpd_id, in_data_product_ids=[self.input_dp_id],
out_data_product_ids=[dp2_func_output_dp_id], configuration=configuration)
return [dp1_data_process_id, dp2_func_data_process_id]
def create_output_data_products(self):
dp1_outgoing_stream_id = self.pubsub_client.create_stream_definition(name='dp1_stream', parameter_dictionary_id=self.parameter_dict_id)
dp1_output_dp_obj = IonObject( RT.DataProduct,
name='data_process1_data_product',
description='output of add array func',
temporal_domain = self.time_dom.dump(),
spatial_domain = self.spatial_dom.dump())
dp1_func_output_dp_id = self.dataproductclient.create_data_product(dp1_output_dp_obj, dp1_outgoing_stream_id)
self.addCleanup(self.dataproductclient.delete_data_product, dp1_func_output_dp_id)
# Retrieve the id of the OUTPUT stream from the out Data Product and add to granule logger
stream_ids, _ = self.rrclient.find_objects(dp1_func_output_dp_id, PRED.hasStream, None, True)
self._output_stream_ids.append(stream_ids[0])
dp2_func_outgoing_stream_id = self.pubsub_client.create_stream_definition(name='dp2_stream', parameter_dictionary_id=self.parameter_dict_id)
dp2_func_output_dp_obj = IonObject( RT.DataProduct,
name='data_process2_data_product',
description='output of add array func',
temporal_domain = self.time_dom.dump(),
spatial_domain = self.spatial_dom.dump())
dp2_func_output_dp_id = self.dataproductclient.create_data_product(dp2_func_output_dp_obj, dp2_func_outgoing_stream_id)
self.addCleanup(self.dataproductclient.delete_data_product, dp2_func_output_dp_id)
# Retrieve the id of the OUTPUT stream from the out Data Product and add to granule logger
stream_ids, _ = self.rrclient.find_objects(dp2_func_output_dp_id, PRED.hasStream, None, True)
self._output_stream_ids.append(stream_ids[0])
subscription_id = self.pubsub_client.create_subscription('validator', data_product_ids=[dp1_func_output_dp_id, dp2_func_output_dp_id])
self.addCleanup(self.pubsub_client.delete_subscription, subscription_id)
def on_granule(msg, route, stream_id):
log.debug('recv_packet stream_id: %s route: %s msg: %s', stream_id, route, msg)
self.validate_output_granule(msg, route, stream_id)
validator = StandaloneStreamSubscriber('validator', callback=on_granule)
validator.start()
self.addCleanup(validator.stop)
self.pubsub_client.activate_subscription(subscription_id)
self.addCleanup(self.pubsub_client.deactivate_subscription, subscription_id)
return dp1_func_output_dp_id, dp2_func_output_dp_id
def validate_event(self, *args, **kwargs):
"""
This method is a callback function for receiving DataProcessStatusEvent.
"""
data_process_event = args[0]
log.debug("DataProcessStatusEvent: %s" , str(data_process_event.__dict__))
self.assertTrue( data_process_event.origin in self.dp_list)
def validate_output_granule(self, msg, route, stream_id):
self.assertTrue( stream_id in self._output_stream_ids)
rdt = RecordDictionaryTool.load_from_granule(msg)
log.debug('validate_output_granule rdt: %s', rdt)
sal_val = rdt['salinity']
#self.assertTrue( sal_val == 3)
np.testing.assert_array_equal(sal_val, np.array([3]))
def start_event_listener(self):
es = EventSubscriber(event_type=OT.DataProcessStatusEvent, callback=self.validate_event)
es.start()
self.addCleanup(es.stop)
def start_transform_worker(self):
config = DotDict()
config.process.queue_name = 'parsed_subscription'
self.container.spawn_process(
name='transform_worker',
module='ion.processes.data.transforms.transform_worker',
cls='TransformWorker',
config=config
)
def test_download(self):
egg_url = 'http://sddevrepo.oceanobservatories.org/releases/ion_example-0.1-py2.7.egg'
egg_path = TransformWorker.download_egg(egg_url)
import pkg_resources
pkg_resources.working_set.add_entry(egg_path)
from ion_example.add_arrays import add_arrays
a = add_arrays(1,2)
self.assertEquals(a,3)
class TestDataProductManagementServiceIntegration(IonIntegrationTestCase):
def setUp(self):
# Start container
#print 'instantiating container'
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
self.dpsc_cli = DataProductManagementServiceClient(node=self.container.node)
self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
self.damsclient = DataAcquisitionManagementServiceClient(node=self.container.node)
self.pubsubcli = PubsubManagementServiceClient(node=self.container.node)
self.ingestclient = IngestionManagementServiceClient(node=self.container.node)
self.process_dispatcher = ProcessDispatcherServiceClient()
self.dataset_management = DatasetManagementServiceClient()
self.unsc = UserNotificationServiceClient()
self.data_retriever = DataRetrieverServiceClient()
#------------------------------------------
# Create the environment
#------------------------------------------
datastore_name = CACHE_DATASTORE_NAME
self.db = self.container.datastore_manager.get_datastore(datastore_name)
self.stream_def_id = self.pubsubcli.create_stream_definition(name='SBE37_CDM')
self.process_definitions = {}
ingestion_worker_definition = ProcessDefinition(name='ingestion worker')
ingestion_worker_definition.executable = {
'module':'ion.processes.data.ingestion.science_granule_ingestion_worker',
'class' :'ScienceGranuleIngestionWorker'
}
process_definition_id = self.process_dispatcher.create_process_definition(process_definition=ingestion_worker_definition)
self.process_definitions['ingestion_worker'] = process_definition_id
self.pids = []
self.exchange_points = []
self.exchange_names = []
#------------------------------------------------------------------------------------------------
# First launch the ingestors
#------------------------------------------------------------------------------------------------
self.exchange_space = 'science_granule_ingestion'
self.exchange_point = 'science_data'
config = DotDict()
config.process.datastore_name = 'datasets'
config.process.queue_name = self.exchange_space
self.exchange_names.append(self.exchange_space)
self.exchange_points.append(self.exchange_point)
pid = self.process_dispatcher.schedule_process(self.process_definitions['ingestion_worker'],configuration=config)
log.debug("the ingestion worker process id: %s", pid)
self.pids.append(pid)
self.addCleanup(self.cleaning_up)
def cleaning_up(self):
for pid in self.pids:
log.debug("number of pids to be terminated: %s", len(self.pids))
try:
self.process_dispatcher.cancel_process(pid)
log.debug("Terminated the process: %s", pid)
except:
log.debug("could not terminate the process id: %s" % pid)
IngestionManagementIntTest.clean_subscriptions()
for xn in self.exchange_names:
xni = self.container.ex_manager.create_xn_queue(xn)
xni.delete()
for xp in self.exchange_points:
xpi = self.container.ex_manager.create_xp(xp)
xpi.delete()
def get_datastore(self, dataset_id):
dataset = self.dataset_management.read_dataset(dataset_id)
datastore_name = dataset.datastore_name
datastore = self.container.datastore_manager.get_datastore(datastore_name, DataStore.DS_PROFILE.SCIDATA)
return datastore
def test_create_data_product(self):
#------------------------------------------------------------------------------------------------
# create a stream definition for the data from the ctd simulator
#------------------------------------------------------------------------------------------------
parameter_dictionary_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict')
ctd_stream_def_id = self.pubsubcli.create_stream_definition(name='Simulated CTD data', parameter_dictionary_id=parameter_dictionary_id)
log.debug("Created stream def id %s" % ctd_stream_def_id)
#------------------------------------------------------------------------------------------------
# test creating a new data product w/o a stream definition
#------------------------------------------------------------------------------------------------
# Generic time-series data domain creation
tdom, sdom = time_series_domain()
dp_obj = IonObject(RT.DataProduct,
name='DP1',
description='some new dp',
temporal_domain = tdom.dump(),
spatial_domain = sdom.dump())
dp_obj.geospatial_bounds.geospatial_latitude_limit_north = 200.0
dp_obj.geospatial_bounds.geospatial_latitude_limit_south = 100.0
dp_obj.geospatial_bounds.geospatial_longitude_limit_east = 50.0
dp_obj.geospatial_bounds.geospatial_longitude_limit_west = 100.0
#------------------------------------------------------------------------------------------------
# Create a set of ParameterContext objects to define the parameters in the coverage, add each to the ParameterDictionary
#------------------------------------------------------------------------------------------------
dp_id = self.dpsc_cli.create_data_product( data_product= dp_obj,
stream_definition_id=ctd_stream_def_id)
self.dpsc_cli.activate_data_product_persistence(dp_id)
dp_obj = self.dpsc_cli.read_data_product(dp_id)
self.assertIsNotNone(dp_obj)
self.assertEquals(dp_obj.geospatial_point_center.lat, 150.0)
log.debug('Created data product %s', dp_obj)
#------------------------------------------------------------------------------------------------
# test creating a new data product with a stream definition
#------------------------------------------------------------------------------------------------
log.debug('Creating new data product with a stream definition')
dp_obj = IonObject(RT.DataProduct,
name='DP2',
description='some new dp',
temporal_domain = tdom.dump(),
spatial_domain = sdom.dump())
dp_id2 = self.dpsc_cli.create_data_product(dp_obj, ctd_stream_def_id)
self.dpsc_cli.activate_data_product_persistence(dp_id2)
log.debug('new dp_id = %s' % dp_id2)
#------------------------------------------------------------------------------------------------
#make sure data product is associated with stream def
#------------------------------------------------------------------------------------------------
streamdefs = []
streams, _ = self.rrclient.find_objects(dp_id2, PRED.hasStream, RT.Stream, True)
for s in streams:
log.debug("Checking stream %s" % s)
sdefs, _ = self.rrclient.find_objects(s, PRED.hasStreamDefinition, RT.StreamDefinition, True)
for sd in sdefs:
log.debug("Checking streamdef %s" % sd)
streamdefs.append(sd)
self.assertIn(ctd_stream_def_id, streamdefs)
# test reading a non-existent data product
log.debug('reading non-existent data product')
with self.assertRaises(NotFound):
dp_obj = self.dpsc_cli.read_data_product('some_fake_id')
# update a data product (tests read also)
log.debug('Updating data product')
# first get the existing dp object
dp_obj = self.dpsc_cli.read_data_product(dp_id)
# now tweak the object
dp_obj.description = 'the very first dp'
dp_obj.geospatial_bounds.geospatial_latitude_limit_north = 300.0
dp_obj.geospatial_bounds.geospatial_latitude_limit_south = 200.0
dp_obj.geospatial_bounds.geospatial_longitude_limit_east = 150.0
dp_obj.geospatial_bounds.geospatial_longitude_limit_west = 200.0
# now write the dp back to the registry
update_result = self.dpsc_cli.update_data_product(dp_obj)
# now get the dp back to see if it was updated
dp_obj = self.dpsc_cli.read_data_product(dp_id)
self.assertEquals(dp_obj.description,'the very first dp')
self.assertEquals(dp_obj.geospatial_point_center.lat, 250.0)
log.debug('Updated data product %s', dp_obj)
#test extension
extended_product = self.dpsc_cli.get_data_product_extension(dp_id)
self.assertEqual(dp_id, extended_product._id)
self.assertEqual(ComputedValueAvailability.PROVIDED,
extended_product.computed.product_download_size_estimated.status)
self.assertEqual(0, extended_product.computed.product_download_size_estimated.value)
self.assertEqual(ComputedValueAvailability.PROVIDED,
extended_product.computed.parameters.status)
#log.debug("test_create_data_product: parameters %s" % extended_product.computed.parameters.value)
# now 'delete' the data product
log.debug("deleting data product: %s" % dp_id)
self.dpsc_cli.delete_data_product(dp_id)
self.dpsc_cli.force_delete_data_product(dp_id)
# now try to get the deleted dp object
with self.assertRaises(NotFound):
dp_obj = self.dpsc_cli.read_data_product(dp_id)
# Get the events corresponding to the data product
ret = self.unsc.get_recent_events(resource_id=dp_id)
events = ret.value
for event in events:
log.debug("event time: %s" % event.ts_created)
self.assertTrue(len(events) > 0)
def test_data_product_stream_def(self):
pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
ctd_stream_def_id = self.pubsubcli.create_stream_definition(name='Simulated CTD data', parameter_dictionary_id=pdict_id)
tdom, sdom = time_series_domain()
sdom = sdom.dump()
tdom = tdom.dump()
dp_obj = IonObject(RT.DataProduct,
name='DP1',
description='some new dp',
temporal_domain = tdom,
spatial_domain = sdom)
dp_id = self.dpsc_cli.create_data_product(data_product= dp_obj,
stream_definition_id=ctd_stream_def_id)
stream_def_id = self.dpsc_cli.get_data_product_stream_definition(dp_id)
self.assertEquals(ctd_stream_def_id, stream_def_id)
def test_activate_suspend_data_product(self):
#------------------------------------------------------------------------------------------------
# create a stream definition for the data from the ctd simulator
#------------------------------------------------------------------------------------------------
pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
ctd_stream_def_id = self.pubsubcli.create_stream_definition(name='Simulated CTD data', parameter_dictionary_id=pdict_id)
log.debug("Created stream def id %s" % ctd_stream_def_id)
#------------------------------------------------------------------------------------------------
# test creating a new data product w/o a stream definition
#------------------------------------------------------------------------------------------------
# Construct temporal and spatial Coordinate Reference System objects
tdom, sdom = time_series_domain()
sdom = sdom.dump()
tdom = tdom.dump()
dp_obj = IonObject(RT.DataProduct,
name='DP1',
description='some new dp',
temporal_domain = tdom,
spatial_domain = sdom)
log.debug("Created an IonObject for a data product: %s" % dp_obj)
#------------------------------------------------------------------------------------------------
# Create a set of ParameterContext objects to define the parameters in the coverage, add each to the ParameterDictionary
#------------------------------------------------------------------------------------------------
dp_id = self.dpsc_cli.create_data_product(data_product= dp_obj,
stream_definition_id=ctd_stream_def_id)
#------------------------------------------------------------------------------------------------
# test activate and suspend data product persistence
#------------------------------------------------------------------------------------------------
self.dpsc_cli.activate_data_product_persistence(dp_id)
dp_obj = self.dpsc_cli.read_data_product(dp_id)
self.assertIsNotNone(dp_obj)
dataset_ids, _ = self.rrclient.find_objects(subject=dp_id, predicate=PRED.hasDataset, id_only=True)
if not dataset_ids:
raise NotFound("Data Product %s dataset does not exist" % str(dp_id))
self.get_datastore(dataset_ids[0])
# Check that the streams associated with the data product are persisted with
stream_ids, _ = self.rrclient.find_objects(dp_id,PRED.hasStream,RT.Stream,True)
for stream_id in stream_ids:
self.assertTrue(self.ingestclient.is_persisted(stream_id))
#--------------------------------------------------------------------------------
# Now get the data in one chunk using an RPC Call to start_retreive
#--------------------------------------------------------------------------------
replay_data = self.data_retriever.retrieve(dataset_ids[0])
self.assertIsInstance(replay_data, Granule)
log.debug("The data retriever was able to replay the dataset that was attached to the data product "
"we wanted to be persisted. Therefore the data product was indeed persisted with "
"otherwise we could not have retrieved its dataset using the data retriever. Therefore "
"this demonstration shows that L4-CI-SA-RQ-267 is satisfied: 'Data product management shall persist data products'")
data_product_object = self.rrclient.read(dp_id)
self.assertEquals(data_product_object.name,'DP1')
self.assertEquals(data_product_object.description,'some new dp')
log.debug("Towards L4-CI-SA-RQ-308: 'Data product management shall persist data product metadata'. "
" Attributes in create for the data product obj, name= '%s', description='%s', match those of object from the "
"resource registry, name='%s', desc='%s'" % (dp_obj.name, dp_obj.description,data_product_object.name,
data_product_object.description))
#------------------------------------------------------------------------------------------------
# test suspend data product persistence
#------------------------------------------------------------------------------------------------
self.dpsc_cli.suspend_data_product_persistence(dp_id)
self.dpsc_cli.force_delete_data_product(dp_id)
# now try to get the deleted dp object
with self.assertRaises(NotFound):
dp_obj = self.rrclient.read(dp_id)
class TestWorkflowManagementIntegration(VisualizationIntegrationTestHelper):
def setUp(self):
# Start container
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
# Now create client to DataProductManagementService
self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
self.damsclient = DataAcquisitionManagementServiceClient(node=self.container.node)
self.pubsubclient = PubsubManagementServiceClient(node=self.container.node)
self.ingestclient = IngestionManagementServiceClient(node=self.container.node)
self.imsclient = InstrumentManagementServiceClient(node=self.container.node)
self.dataproductclient = DataProductManagementServiceClient(node=self.container.node)
self.dataprocessclient = DataProcessManagementServiceClient(node=self.container.node)
self.datasetclient = DatasetManagementServiceClient(node=self.container.node)
self.workflowclient = WorkflowManagementServiceClient(node=self.container.node)
self.process_dispatcher = ProcessDispatcherServiceClient(node=self.container.node)
self.data_retriever = DataRetrieverServiceClient(node=self.container.node)
self.ctd_stream_def = SBE37_CDM_stream_definition()
@attr('LOCOINT')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),'Not integrated for CEI')
#@unittest.skip("Skipping for debugging ")
def test_SA_transform_components(self):
assertions = self.assertTrue
#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)
###
### Setup the first transformation
###
# Salinity: Data Process Definition
ctd_L2_salinity_dprocdef_id = self.create_salinity_data_process_definition()
l2_salinity_all_data_process_id, ctd_l2_salinity_output_dp_id = self.create_transform_process(ctd_L2_salinity_dprocdef_id,ctd_parsed_data_product_id )
## get the stream id for the transform outputs
stream_ids, _ = self.rrclient.find_objects(ctd_l2_salinity_output_dp_id, PRED.hasStream, None, True)
assertions(len(stream_ids) > 0 )
sal_stream_id = stream_ids[0]
data_product_stream_ids.append(sal_stream_id)
###
### Setup the second transformation
###
# Salinity Doubler: Data Process Definition
salinity_doubler_dprocdef_id = self.create_salinity_doubler_data_process_definition()
salinity_double_data_process_id, salinity_doubler_output_dp_id = self.create_transform_process(salinity_doubler_dprocdef_id, ctd_l2_salinity_output_dp_id )
stream_ids, _ = self.rrclient.find_objects(salinity_doubler_output_dp_id, PRED.hasStream, None, True)
assertions(len(stream_ids) > 0 )
sal_dbl_stream_id = stream_ids[0]
data_product_stream_ids.append(sal_dbl_stream_id)
#Start the output stream listener to monitor and collect messages
results = self.start_output_stream_and_listen(ctd_stream_id, data_product_stream_ids)
#Stop the transform processes
self.dataprocessclient.deactivate_data_process(salinity_double_data_process_id)
self.dataprocessclient.deactivate_data_process(l2_salinity_all_data_process_id)
#Validate the data from each of the messages along the way
self.validate_messages(results)
@attr('LOCOINT')
@attr('SMOKE')
@unittest.skip("not working")
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),'Not integrated for CEI')
#@unittest.skip("Skipping for debugging ")
def test_transform_workflow(self):
assertions = self.assertTrue
# Build the workflow definition
workflow_def_obj = IonObject(RT.WorkflowDefinition, name='Salinity_Test_Workflow',description='tests a workflow of multiple transform data processes')
workflow_data_product_name = 'TEST-Workflow_Output_Product' #Set a specific output product name
#Add a transformation process definition
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
workflow_def_obj.workflow_steps.append(workflow_step_obj)
#Add a transformation process definition
salinity_doubler_dprocdef_id = self.create_salinity_doubler_data_process_definition()
workflow_step_obj = IonObject('DataProcessWorkflowStep', data_process_definition_id=salinity_doubler_dprocdef_id, output_data_product_name=workflow_data_product_name)
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) == 2 )
#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 )
#persist the output product
#self.dataproductclient.activate_data_product_persistence(workflow_product_id)
dataset_ids,_ = self.rrclient.find_objects(workflow_product_id, PRED.hasDataset, RT.DataSet, True)
assertions(len(dataset_ids) == 1 )
dataset_id = dataset_ids[0]
#Verify the output data product name matches what was specified in the workflow definition
workflow_product = self.rrclient.read(workflow_product_id)
assertions(workflow_product.name == workflow_data_product_name)
#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) == 2 )
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])
#Start the output stream listener to monitor and collect messages
results = self.start_output_stream_and_listen(ctd_stream_id, data_product_stream_ids)
#Stop the workflow processes
self.workflowclient.terminate_data_process_workflow(workflow_id, False, timeout=15) # Should test true at some point
#Make sure the Workflow object was removed
objs, _ = self.rrclient.find_resources(restype=RT.Workflow)
assertions(len(objs) == 0)
#Validate the data from each of the messages along the way
self.validate_messages(results)
#validate that the data was persisted and can be retrieved
self.validate_data_ingest_retrieve(dataset_id)
#Cleanup to make sure delete is correct.
self.workflowclient.delete_workflow_definition(workflow_def_id)
workflow_def_ids,_ = self.rrclient.find_resources(restype=RT.WorkflowDefinition)
assertions(len(workflow_def_ids) == 0 )
@attr('LOCOINT')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),'Not integrated for CEI')
#@unittest.skip("Skipping for debugging ")
def test_google_dt_transform_workflow(self):
assertions = self.assertTrue
# Build the workflow definition
workflow_def_obj = IonObject(RT.WorkflowDefinition, name='GoogleDT_Test_Workflow',description='Tests the workflow of converting stream data to Google DT')
#Add a transformation process definition
google_dt_procdef_id = self.create_google_dt_data_process_definition()
workflow_step_obj = IonObject('DataProcessWorkflowStep', data_process_definition_id=google_dt_procdef_id, persist_process_output_data=True)
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)
#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=20)
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])
#Start the output stream listener to monitor and collect messages
results = self.start_output_stream_and_listen(ctd_stream_id, data_product_stream_ids)
#Stop the workflow processes
self.workflowclient.terminate_data_process_workflow(workflow_id, False) # Should test true at some point
#Validate the data from each of the messages along the way
self.validate_google_dt_transform_results(results)
# Check to see if ingestion worked. Extract the granules from data_retrieval.
# First find the dataset associated with the output dp product
ds_ids,_ = self.rrclient.find_objects(workflow_dp_ids[len(workflow_dp_ids) - 1], PRED.hasDataset, RT.DataSet, True)
retrieve_granule = self.data_retriever.retrieve(ds_ids[0])
#Validate the data from each of the messages along the way
self.validate_google_dt_transform_results(retrieve_granule)
#Cleanup to make sure delete is correct.
self.workflowclient.delete_workflow_definition(workflow_def_id)
workflow_def_ids,_ = self.rrclient.find_resources(restype=RT.WorkflowDefinition)
assertions(len(workflow_def_ids) == 0 )
@attr('LOCOINT')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),'Not integrated for CEI')
#@unittest.skip("Skipping for debugging ")
def test_mpl_graphs_transform_workflow(self):
assertions = self.assertTrue
# Build the workflow definition
workflow_def_obj = IonObject(RT.WorkflowDefinition, name='Mpl_Graphs_Test_Workflow',description='Tests the workflow of converting stream data to Matplotlib graphs')
#Add a transformation process definition
mpl_graphs_procdef_id = self.create_mpl_graphs_data_process_definition()
workflow_step_obj = IonObject('DataProcessWorkflowStep', data_process_definition_id=mpl_graphs_procdef_id, persist_process_output_data=True)
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)
#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=20)
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])
#Start the output stream listener to monitor and collect messages
results = self.start_output_stream_and_listen(ctd_stream_id, data_product_stream_ids)
#Stop the workflow processes
self.workflowclient.terminate_data_process_workflow(workflow_id, False) # Should test true at some point
#Validate the data from each of the messages along the way
self.validate_mpl_graphs_transform_results(results)
# Check to see if ingestion worked. Extract the granules from data_retrieval.
# First find the dataset associated with the output dp product
ds_ids,_ = self.rrclient.find_objects(workflow_dp_ids[len(workflow_dp_ids) - 1], PRED.hasDataset, RT.DataSet, True)
retrieve_granule = self.data_retriever.retrieve(ds_ids[0])
#Validate the data from each of the messages along the way
self.validate_mpl_graphs_transform_results(retrieve_granule)
#Cleanup to make sure delete is correct.
self.workflowclient.delete_workflow_definition(workflow_def_id)
workflow_def_ids,_ = self.rrclient.find_resources(restype=RT.WorkflowDefinition)
assertions(len(workflow_def_ids) == 0 )
@attr('LOCOINT')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),'Not integrated for CEI')
#@unittest.skip("Skipping for debugging ")
def test_multiple_workflow_instances(self):
assertions = self.assertTrue
# Build the workflow definition
workflow_def_obj = IonObject(RT.WorkflowDefinition, name='Multiple_Test_Workflow',description='Tests the workflow of converting stream data')
#Add a transformation process definition
google_dt_procdef_id = self.create_google_dt_data_process_definition()
workflow_step_obj = IonObject('DataProcessWorkflowStep', data_process_definition_id=google_dt_procdef_id)
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)
#The list of data product streams to monitor
data_product_stream_ids = list()
#Create the first input data product
ctd_stream_id1, ctd_parsed_data_product_id1 = self.create_ctd_input_stream_and_data_product('ctd_parsed1')
data_product_stream_ids.append(ctd_stream_id1)
#Create and start the first workflow
workflow_id1, workflow_product_id1 = self.workflowclient.create_data_process_workflow(workflow_def_id, ctd_parsed_data_product_id1, timeout=20)
#Create the second input data product
ctd_stream_id2, ctd_parsed_data_product_id2 = self.create_ctd_input_stream_and_data_product('ctd_parsed2')
data_product_stream_ids.append(ctd_stream_id2)
#Create and start the first workflow
workflow_id2, workflow_product_id2 = self.workflowclient.create_data_process_workflow(workflow_def_id, ctd_parsed_data_product_id2, timeout=20)
#Walk the associations to find the appropriate output data streams to validate the messages
workflow_ids,_ = self.rrclient.find_resources(restype=RT.Workflow)
assertions(len(workflow_ids) == 2 )
#Start the first input stream process
ctd_sim_pid1 = self.start_sinusoidal_input_stream_process(ctd_stream_id1)
#Start the second input stream process
ctd_sim_pid2 = self.start_simple_input_stream_process(ctd_stream_id2)
#Start the output stream listener to monitor a set number of messages being sent through the workflows
results = self.start_output_stream_and_listen(None, data_product_stream_ids, message_count_per_stream=5)
# stop the flow of messages...
self.process_dispatcher.cancel_process(ctd_sim_pid1) # kill the ctd simulator process - that is enough data
self.process_dispatcher.cancel_process(ctd_sim_pid2)
#Stop the first workflow processes
self.workflowclient.terminate_data_process_workflow(workflow_id1, False) # Should test true at some point
#Stop the second workflow processes
self.workflowclient.terminate_data_process_workflow(workflow_id2, False) # Should test true at some point
workflow_ids,_ = self.rrclient.find_resources(restype=RT.Workflow)
assertions(len(workflow_ids) == 0 )
#Cleanup to make sure delete is correct.
self.workflowclient.delete_workflow_definition(workflow_def_id)
workflow_def_ids,_ = self.rrclient.find_resources(restype=RT.WorkflowDefinition)
assertions(len(workflow_def_ids) == 0 )
aid_list = self.rrclient.find_associations(workflow_def_id, PRED.hasDataProcessDefinition)
assertions(len(aid_list) == 0 )
class TestBulkIngest(IonIntegrationTestCase):
EDA_MOD = 'ion.agents.data.external_dataset_agent'
EDA_CLS = 'ExternalDatasetAgent'
def setUp(self):
# Start container
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
# Now create client to DataAcquisitionManagementService
self.client = DataAcquisitionManagementServiceClient(node=self.container.node)
self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
self.dataproductclient = DataProductManagementServiceClient(node=self.container.node)
self.dams_client = DataAcquisitionManagementServiceClient(node=self.container.node)
self.pubsub_client = PubsubManagementServiceClient(node=self.container.node)
self.processdispatchclient = ProcessDispatcherServiceClient(node=self.container.node)
self.data_retriever = DataRetrieverServiceClient(node=self.container.node)
self._container_client = ContainerAgentClient(node=self.container.node, name=self.container.name)
# Data async and subscription TODO: Replace with new subscriber
self._finished_count = None
#TODO: Switch to gevent.queue.Queue
self._async_finished_result = AsyncResult()
self._finished_events_received = []
self._finished_event_subscriber = None
self._start_finished_event_subscriber()
self.addCleanup(self._stop_finished_event_subscriber)
self.DVR_CONFIG = {}
self.DVR_CONFIG = {
'dvr_mod' : 'ion.agents.data.handlers.slocum_data_handler',
'dvr_cls' : 'SlocumDataHandler',
}
self._setup_resources()
self.agent_config = {
'driver_config' : self.DVR_CONFIG,
'stream_config' : {},
'agent' : {'resource_id': self.EDA_RESOURCE_ID},
'test_mode' : True
}
datasetagent_instance_obj = IonObject(RT.ExternalDatasetAgentInstance, name='ExternalDatasetAgentInstance1', description='external data agent instance',
handler_module=self.EDA_MOD, handler_class=self.EDA_CLS,
dataset_driver_config=self.DVR_CONFIG, dataset_agent_config=self.agent_config )
self.dataset_agent_instance_id = self.dams_client.create_external_dataset_agent_instance(external_dataset_agent_instance=datasetagent_instance_obj,
external_dataset_agent_id=self.datasetagent_id, external_dataset_id=self.EDA_RESOURCE_ID)
#TG: Setup/configure the granule logger to log granules as they're published
pid = self.dams_client.start_external_dataset_agent_instance(self.dataset_agent_instance_id)
dataset_agent_instance_obj= self.dams_client.read_external_dataset_agent_instance(self.dataset_agent_instance_id)
print 'TestBulkIngest: Dataset agent instance obj: = ', dataset_agent_instance_obj
# Start a resource agent client to talk with the instrument agent.
self._ia_client = ResourceAgentClient('datasetagentclient', name=pid, process=FakeProcess())
log.debug(" test_createTransformsThenActivateInstrument:: got ia client %s", str(self._ia_client))
def create_logger(self, name, stream_id=''):
# logger process
producer_definition = ProcessDefinition(name=name+'_logger')
producer_definition.executable = {
'module':'ion.processes.data.stream_granule_logger',
'class':'StreamGranuleLogger'
}
logger_procdef_id = self.processdispatchclient.create_process_definition(process_definition=producer_definition)
configuration = {
'process':{
'stream_id':stream_id,
}
}
pid = self.processdispatchclient.schedule_process(process_definition_id= logger_procdef_id, configuration=configuration)
return pid
def _start_finished_event_subscriber(self):
def consume_event(*args,**kwargs):
log.debug('EventSubscriber event received: %s', str(args[0]) )
if args[0].description == 'TestingFinished':
log.debug('TestingFinished event received')
self._finished_events_received.append(args[0])
if self._finished_count and self._finished_count == len(self._finished_events_received):
log.debug('Finishing test...')
self._async_finished_result.set(len(self._finished_events_received))
log.debug('Called self._async_finished_result.set({0})'.format(len(self._finished_events_received)))
self._finished_event_subscriber = EventSubscriber(event_type='DeviceEvent', callback=consume_event)
self._finished_event_subscriber.start()
def _stop_finished_event_subscriber(self):
if self._finished_event_subscriber:
self._finished_event_subscriber.stop()
self._finished_event_subscriber = None
def tearDown(self):
pass
@unittest.skip('Update to agent refactor.')
def test_slocum_data_ingest(self):
HIST_CONSTRAINTS_1 = {}
# Test instrument driver execute interface to start and stop streaming mode.
cmd = AgentCommand(command='get_current_state')
retval = self._ia_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.UNINITIALIZED)
cmd = AgentCommand(command='initialize')
retval = self._ia_client.execute_agent(cmd)
cmd = AgentCommand(command='get_current_state')
retval = self._ia_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.INACTIVE)
cmd = AgentCommand(command='go_active')
retval = self._ia_client.execute_agent(cmd)
cmd = AgentCommand(command='get_current_state')
retval = self._ia_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.IDLE)
cmd = AgentCommand(command='run')
retval = self._ia_client.execute_agent(cmd)
cmd = AgentCommand(command='get_current_state')
retval = self._ia_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.OBSERVATORY)
# Make sure the polling interval is appropriate for a test
params = {
'POLLING_INTERVAL': 3
}
self._ia_client.set_param(params)
self._finished_count = 1
cmd = AgentCommand(command='acquire_data')
self._ia_client.execute(cmd)
# Assert that data was received
self._async_finished_result.get(timeout=15)
self.assertTrue(len(self._finished_events_received) >= 1)
cmd = AgentCommand(command='reset')
retval = self._ia_client.execute_agent(cmd)
cmd = AgentCommand(command='get_current_state')
retval = self._ia_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.UNINITIALIZED)
#todo enable after Luke's mor to retrieve, right now must have the Time axis called 'time'
# replay_granule = self.data_retriever.retrieve_last_data_points(self.dataset_id, 10)
# rdt = RecordDictionaryTool.load_from_granule(replay_granule)
#
# comp = rdt['date_pattern'] == numpy.arange(10) + 10
#
# log.debug("TestBulkIngest: comp: %s", comp)
#
# self.assertTrue(comp.all())
for pid in self.loggerpids:
self.processdispatchclient.cancel_process(pid)
def _setup_resources(self):
self.loggerpids = []
# Create DataProvider
dprov = ExternalDataProvider(institution=Institution(), contact=ContactInformation())
dprov.contact.name = 'Christopher Mueller'
dprov.contact.email = '*****@*****.**'
# Create DataSetModel
dataset_model = ExternalDatasetModel(name='slocum_model')
dataset_model.datset_type = 'SLOCUM'
dataset_model_id = self.dams_client.create_external_dataset_model(dataset_model)
# Create ExternalDataset
ds_name = 'slocum_test_dataset'
dset = ExternalDataset(name=ds_name, dataset_description=DatasetDescription(), update_description=UpdateDescription(), contact=ContactInformation())
dset.dataset_description.parameters['base_url'] = 'test_data/slocum/'
dset.dataset_description.parameters['list_pattern'] = 'ru05-2012-021-0-0-sbd.dat'
dset.dataset_description.parameters['date_pattern'] = '%Y %j'
dset.dataset_description.parameters['date_extraction_pattern'] = 'ru05-([\d]{4})-([\d]{3})-\d-\d-sbd.dat'
dset.dataset_description.parameters['temporal_dimension'] = None
dset.dataset_description.parameters['zonal_dimension'] = None
dset.dataset_description.parameters['meridional_dimension'] = None
dset.dataset_description.parameters['vertical_dimension'] = None
dset.dataset_description.parameters['variables'] = [
'c_wpt_y_lmc',
'sci_water_cond',
'm_y_lmc',
'u_hd_fin_ap_inflection_holdoff',
'sci_m_present_time',
'm_leakdetect_voltage_forward',
'sci_bb3slo_b660_scaled',
'c_science_send_all',
'm_gps_status',
'm_water_vx',
'm_water_vy',
'c_heading',
'sci_fl3slo_chlor_units',
'u_hd_fin_ap_gain',
'm_vacuum',
'u_min_water_depth',
'm_gps_lat',
'm_veh_temp',
'f_fin_offset',
'u_hd_fin_ap_hardover_holdoff',
'c_alt_time',
'm_present_time',
'm_heading',
'sci_bb3slo_b532_scaled',
'sci_fl3slo_cdom_units',
'm_fin',
'x_cycle_overrun_in_ms',
'sci_water_pressure',
'u_hd_fin_ap_igain',
'sci_fl3slo_phyco_units',
'm_battpos',
'sci_bb3slo_b470_scaled',
'm_lat',
'm_gps_lon',
'sci_ctd41cp_timestamp',
'm_pressure',
'c_wpt_x_lmc',
'c_ballast_pumped',
'x_lmc_xy_source',
'm_lon',
'm_avg_speed',
'sci_water_temp',
'u_pitch_ap_gain',
'm_roll',
'm_tot_num_inflections',
'm_x_lmc',
'u_pitch_ap_deadband',
'm_final_water_vy',
'm_final_water_vx',
'm_water_depth',
'm_leakdetect_voltage',
'u_pitch_max_delta_battpos',
'm_coulomb_amphr',
'm_pitch',
]
## Create the external dataset
ds_id = self.dams_client.create_external_dataset(external_dataset=dset, external_dataset_model_id=dataset_model_id)
ext_dprov_id = self.dams_client.create_external_data_provider(external_data_provider=dprov)
# Register the ExternalDataset
dproducer_id = self.dams_client.register_external_data_set(external_dataset_id=ds_id)
## Create the dataset agent
datasetagent_obj = IonObject(RT.ExternalDatasetAgent, name='ExternalDatasetAgent1', description='external data agent', handler_module=self.EDA_MOD, handler_class=self.EDA_CLS )
self.datasetagent_id = self.dams_client.create_external_dataset_agent(external_dataset_agent=datasetagent_obj, external_dataset_model_id=dataset_model_id)
# Generate the data product and associate it to the ExternalDataset
pdict = DatasetManagementService.get_parameter_dictionary_by_name('ctd_parsed_param_dict')
streamdef_id = self.pubsub_client.create_stream_definition(name="temp", parameter_dictionary_id=pdict.identifier)
tdom, sdom = time_series_domain()
tdom = tdom.dump()
sdom = sdom.dump()
dprod = IonObject(RT.DataProduct,
name='slocum_parsed_product',
description='parsed slocum product',
temporal_domain = tdom,
spatial_domain = sdom)
self.dproduct_id = self.dataproductclient.create_data_product(data_product=dprod,
stream_definition_id=streamdef_id)
self.dams_client.assign_data_product(input_resource_id=ds_id, data_product_id=self.dproduct_id)
#save the incoming slocum data
self.dataproductclient.activate_data_product_persistence(self.dproduct_id)
stream_ids, assn = self.rrclient.find_objects(subject=self.dproduct_id, predicate=PRED.hasStream, object_type=RT.Stream, id_only=True)
stream_id = stream_ids[0]
dataset_id, assn = self.rrclient.find_objects(subject=self.dproduct_id, predicate=PRED.hasDataset, object_type=RT.Dataset, id_only=True)
self.dataset_id = dataset_id[0]
pid = self.create_logger('slocum_parsed_product', stream_id )
self.loggerpids.append(pid)
self.DVR_CONFIG['dh_cfg'] = {
'TESTING':True,
'stream_id':stream_id,
'param_dictionary':pdict.dump(),
'data_producer_id':dproducer_id, #CBM: Should this be put in the main body of the config - with mod & cls?
'max_records':20,
}
# Create the logger for receiving publications
#self.create_stream_and_logger(name='slocum',stream_id=stream_id)
# Create agent config.
self.EDA_RESOURCE_ID = ds_id
self.EDA_NAME = ds_name
class TestBulkIngest(IonIntegrationTestCase):
EDA_MOD = 'ion.agents.data.external_dataset_agent'
EDA_CLS = 'ExternalDatasetAgent'
def setUp(self):
# Start container
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
# Now create client to DataAcquisitionManagementService
self.client = DataAcquisitionManagementServiceClient(node=self.container.node)
self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
self.dataproductclient = DataProductManagementServiceClient(node=self.container.node)
self.dams_client = DataAcquisitionManagementServiceClient(node=self.container.node)
self.pubsub_client = PubsubManagementServiceClient(node=self.container.node)
self.processdispatchclient = ProcessDispatcherServiceClient(node=self.container.node)
self.data_retriever = DataRetrieverServiceClient(node=self.container.node)
self._container_client = ContainerAgentClient(node=self.container.node, name=self.container.name)
# Data async and subscription TODO: Replace with new subscriber
self._finished_count = None
#TODO: Switch to gevent.queue.Queue
self._async_finished_result = AsyncResult()
self._finished_events_received = []
self._finished_event_subscriber = None
self._start_finished_event_subscriber()
self.addCleanup(self._stop_finished_event_subscriber)
self.DVR_CONFIG = {}
self.DVR_CONFIG = {
'dvr_mod' : 'ion.agents.data.handlers.slocum_data_handler',
'dvr_cls' : 'SlocumDataHandler',
}
self._setup_resources()
self.agent_config = {
'driver_config' : self.DVR_CONFIG,
'stream_config' : {},
'agent' : {'resource_id': self.EDA_RESOURCE_ID},
'test_mode' : True
}
datasetagent_instance_obj = IonObject(RT.ExternalDatasetAgentInstance, name='ExternalDatasetAgentInstance1', description='external data agent instance',
handler_module=self.EDA_MOD, handler_class=self.EDA_CLS,
dataset_driver_config=self.DVR_CONFIG, dataset_agent_config=self.agent_config )
self.dataset_agent_instance_id = self.dams_client.create_external_dataset_agent_instance(external_dataset_agent_instance=datasetagent_instance_obj,
external_dataset_agent_id=self.datasetagent_id, external_dataset_id=self.EDA_RESOURCE_ID)
#TG: Setup/configure the granule logger to log granules as they're published
pid = self.dams_client.start_external_dataset_agent_instance(self.dataset_agent_instance_id)
dataset_agent_instance_obj= self.dams_client.read_external_dataset_agent_instance(self.dataset_agent_instance_id)
print 'TestBulkIngest: Dataset agent instance obj: = ', dataset_agent_instance_obj
# Start a resource agent client to talk with the instrument agent.
self._ia_client = ResourceAgentClient('datasetagentclient', name=pid, process=FakeProcess())
log.debug(" test_createTransformsThenActivateInstrument:: got ia client %s", str(self._ia_client))
def create_logger(self, name, stream_id=''):
# logger process
producer_definition = ProcessDefinition(name=name+'_logger')
producer_definition.executable = {
'module':'ion.processes.data.stream_granule_logger',
'class':'StreamGranuleLogger'
}
logger_procdef_id = self.processdispatchclient.create_process_definition(process_definition=producer_definition)
configuration = {
'process':{
'stream_id':stream_id,
}
}
pid = self.processdispatchclient.schedule_process(process_definition_id= logger_procdef_id, configuration=configuration)
return pid
def _start_finished_event_subscriber(self):
def consume_event(*args,**kwargs):
log.debug('EventSubscriber event received: %s', str(args[0]) )
if args[0].description == 'TestingFinished':
log.debug('TestingFinished event received')
self._finished_events_received.append(args[0])
if self._finished_count and self._finished_count == len(self._finished_events_received):
log.debug('Finishing test...')
self._async_finished_result.set(len(self._finished_events_received))
log.debug('Called self._async_finished_result.set({0})'.format(len(self._finished_events_received)))
self._finished_event_subscriber = EventSubscriber(event_type='DeviceEvent', callback=consume_event)
self._finished_event_subscriber.start()
def _stop_finished_event_subscriber(self):
if self._finished_event_subscriber:
self._finished_event_subscriber.stop()
self._finished_event_subscriber = None
def tearDown(self):
pass
@unittest.skip('Update to agent refactor.')
def test_slocum_data_ingest(self):
HIST_CONSTRAINTS_1 = {}
# Test instrument driver execute interface to start and stop streaming mode.
cmd = AgentCommand(command='get_current_state')
retval = self._ia_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.UNINITIALIZED)
cmd = AgentCommand(command='initialize')
retval = self._ia_client.execute_agent(cmd)
cmd = AgentCommand(command='get_current_state')
retval = self._ia_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.INACTIVE)
cmd = AgentCommand(command='go_active')
retval = self._ia_client.execute_agent(cmd)
cmd = AgentCommand(command='get_current_state')
retval = self._ia_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.IDLE)
cmd = AgentCommand(command='run')
retval = self._ia_client.execute_agent(cmd)
cmd = AgentCommand(command='get_current_state')
retval = self._ia_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.OBSERVATORY)
# Make sure the polling interval is appropriate for a test
params = {
'POLLING_INTERVAL': 3
}
self._ia_client.set_param(params)
self._finished_count = 1
cmd = AgentCommand(command='acquire_data')
self._ia_client.execute(cmd)
# Assert that data was received
self._async_finished_result.get(timeout=15)
self.assertTrue(len(self._finished_events_received) >= 1)
cmd = AgentCommand(command='reset')
retval = self._ia_client.execute_agent(cmd)
cmd = AgentCommand(command='get_current_state')
retval = self._ia_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.UNINITIALIZED)
#todo enable after Luke's mor to retrieve, right now must have the Time axis called 'time'
# replay_granule = self.data_retriever.retrieve_last_data_points(self.dataset_id, 10)
# rdt = RecordDictionaryTool.load_from_granule(replay_granule)
#
# comp = rdt['date_pattern'] == numpy.arange(10) + 10
#
# log.debug("TestBulkIngest: comp: %s", comp)
#
# self.assertTrue(comp.all())
for pid in self.loggerpids:
self.processdispatchclient.cancel_process(pid)
def _setup_resources(self):
self.loggerpids = []
# Create DataProvider
dprov = ExternalDataProvider(institution=Institution(), contact=ContactInformation())
dprov.contact.name = 'Christopher Mueller'
dprov.contact.email = '*****@*****.**'
# Create DataSetModel
dataset_model = ExternalDatasetModel(name='slocum_model')
dataset_model.datset_type = 'SLOCUM'
dataset_model_id = self.dams_client.create_external_dataset_model(dataset_model)
# Create ExternalDataset
ds_name = 'slocum_test_dataset'
dset = ExternalDataset(name=ds_name, dataset_description=DatasetDescription(), update_description=UpdateDescription(), contact=ContactInformation())
dset.dataset_description.parameters['base_url'] = 'test_data/slocum/'
dset.dataset_description.parameters['list_pattern'] = 'ru05-2012-021-0-0-sbd.dat'
dset.dataset_description.parameters['date_pattern'] = '%Y %j'
dset.dataset_description.parameters['date_extraction_pattern'] = 'ru05-([\d]{4})-([\d]{3})-\d-\d-sbd.dat'
dset.dataset_description.parameters['temporal_dimension'] = None
dset.dataset_description.parameters['zonal_dimension'] = None
dset.dataset_description.parameters['meridional_dimension'] = None
dset.dataset_description.parameters['vertical_dimension'] = None
dset.dataset_description.parameters['variables'] = [
'c_wpt_y_lmc',
'sci_water_cond',
'm_y_lmc',
'u_hd_fin_ap_inflection_holdoff',
'sci_m_present_time',
'm_leakdetect_voltage_forward',
'sci_bb3slo_b660_scaled',
'c_science_send_all',
'm_gps_status',
'm_water_vx',
'm_water_vy',
'c_heading',
'sci_fl3slo_chlor_units',
'u_hd_fin_ap_gain',
'm_vacuum',
'u_min_water_depth',
'm_gps_lat',
'm_veh_temp',
'f_fin_offset',
'u_hd_fin_ap_hardover_holdoff',
'c_alt_time',
'm_present_time',
'm_heading',
'sci_bb3slo_b532_scaled',
'sci_fl3slo_cdom_units',
'm_fin',
'x_cycle_overrun_in_ms',
'sci_water_pressure',
'u_hd_fin_ap_igain',
'sci_fl3slo_phyco_units',
'm_battpos',
'sci_bb3slo_b470_scaled',
'm_lat',
'm_gps_lon',
'sci_ctd41cp_timestamp',
'm_pressure',
'c_wpt_x_lmc',
'c_ballast_pumped',
'x_lmc_xy_source',
'm_lon',
'm_avg_speed',
'sci_water_temp',
'u_pitch_ap_gain',
'm_roll',
'm_tot_num_inflections',
'm_x_lmc',
'u_pitch_ap_deadband',
'm_final_water_vy',
'm_final_water_vx',
'm_water_depth',
'm_leakdetect_voltage',
'u_pitch_max_delta_battpos',
'm_coulomb_amphr',
'm_pitch',
]
## Create the external dataset
ds_id = self.dams_client.create_external_dataset(external_dataset=dset, external_dataset_model_id=dataset_model_id)
ext_dprov_id = self.dams_client.create_external_data_provider(external_data_provider=dprov)
# Register the ExternalDataset
dproducer_id = self.dams_client.register_external_data_set(external_dataset_id=ds_id)
## Create the dataset agent
datasetagent_obj = IonObject(RT.ExternalDatasetAgent, name='ExternalDatasetAgent1', description='external data agent', handler_module=self.EDA_MOD, handler_class=self.EDA_CLS )
self.datasetagent_id = self.dams_client.create_external_dataset_agent(external_dataset_agent=datasetagent_obj, external_dataset_model_id=dataset_model_id)
# Generate the data product and associate it to the ExternalDataset
pdict = DatasetManagementService.get_parameter_dictionary_by_name('ctd_parsed_param_dict')
streamdef_id = self.pubsub_client.create_stream_definition(name="temp", parameter_dictionary_id=pdict.identifier)
tdom, sdom = time_series_domain()
tdom = tdom.dump()
sdom = sdom.dump()
dprod = IonObject(RT.DataProduct,
name='slocum_parsed_product',
description='parsed slocum product',
temporal_domain = tdom,
spatial_domain = sdom)
self.dproduct_id = self.dataproductclient.create_data_product(data_product=dprod,
stream_definition_id=streamdef_id)
self.dams_client.assign_data_product(input_resource_id=ds_id, data_product_id=self.dproduct_id)
#save the incoming slocum data
self.dataproductclient.activate_data_product_persistence(self.dproduct_id)
self.addCleanup(self.dataproductclient.suspend_data_product_persistence, self.dproduct_id)
stream_ids, assn = self.rrclient.find_objects(subject=self.dproduct_id, predicate=PRED.hasStream, object_type=RT.Stream, id_only=True)
stream_id = stream_ids[0]
dataset_id, assn = self.rrclient.find_objects(subject=self.dproduct_id, predicate=PRED.hasDataset, object_type=RT.Dataset, id_only=True)
self.dataset_id = dataset_id[0]
pid = self.create_logger('slocum_parsed_product', stream_id )
self.loggerpids.append(pid)
self.DVR_CONFIG['dh_cfg'] = {
'TESTING':True,
'stream_id':stream_id,
'param_dictionary':pdict.dump(),
'data_producer_id':dproducer_id, #CBM: Should this be put in the main body of the config - with mod & cls?
'max_records':20,
}
# Create the logger for receiving publications
#self.create_stream_and_logger(name='slocum',stream_id=stream_id)
# Create agent config.
self.EDA_RESOURCE_ID = ds_id
self.EDA_NAME = ds_name
class TestDataProductManagementServiceIntegration(IonIntegrationTestCase):
def setUp(self):
# Start container
#print 'instantiating container'
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
self.dpsc_cli = DataProductManagementServiceClient()
self.rrclient = ResourceRegistryServiceClient()
self.damsclient = DataAcquisitionManagementServiceClient()
self.pubsubcli = PubsubManagementServiceClient()
self.ingestclient = IngestionManagementServiceClient()
self.process_dispatcher = ProcessDispatcherServiceClient()
self.dataset_management = DatasetManagementServiceClient()
self.unsc = UserNotificationServiceClient()
self.data_retriever = DataRetrieverServiceClient()
#------------------------------------------
# Create the environment
#------------------------------------------
datastore_name = CACHE_DATASTORE_NAME
self.db = self.container.datastore_manager.get_datastore(datastore_name)
self.stream_def_id = self.pubsubcli.create_stream_definition(name='SBE37_CDM')
self.process_definitions = {}
ingestion_worker_definition = ProcessDefinition(name='ingestion worker')
ingestion_worker_definition.executable = {
'module':'ion.processes.data.ingestion.science_granule_ingestion_worker',
'class' :'ScienceGranuleIngestionWorker'
}
process_definition_id = self.process_dispatcher.create_process_definition(process_definition=ingestion_worker_definition)
self.process_definitions['ingestion_worker'] = process_definition_id
self.pids = []
self.exchange_points = []
self.exchange_names = []
#------------------------------------------------------------------------------------------------
# First launch the ingestors
#------------------------------------------------------------------------------------------------
self.exchange_space = 'science_granule_ingestion'
self.exchange_point = 'science_data'
config = DotDict()
config.process.datastore_name = 'datasets'
config.process.queue_name = self.exchange_space
self.exchange_names.append(self.exchange_space)
self.exchange_points.append(self.exchange_point)
pid = self.process_dispatcher.schedule_process(self.process_definitions['ingestion_worker'],configuration=config)
log.debug("the ingestion worker process id: %s", pid)
self.pids.append(pid)
self.addCleanup(self.cleaning_up)
def cleaning_up(self):
for pid in self.pids:
log.debug("number of pids to be terminated: %s", len(self.pids))
try:
self.process_dispatcher.cancel_process(pid)
log.debug("Terminated the process: %s", pid)
except:
log.debug("could not terminate the process id: %s" % pid)
IngestionManagementIntTest.clean_subscriptions()
for xn in self.exchange_names:
xni = self.container.ex_manager.create_xn_queue(xn)
xni.delete()
for xp in self.exchange_points:
xpi = self.container.ex_manager.create_xp(xp)
xpi.delete()
def get_datastore(self, dataset_id):
dataset = self.dataset_management.read_dataset(dataset_id)
datastore_name = dataset.datastore_name
datastore = self.container.datastore_manager.get_datastore(datastore_name, DataStore.DS_PROFILE.SCIDATA)
return datastore
@attr('EXT')
@attr('PREP')
def test_create_data_product(self):
#------------------------------------------------------------------------------------------------
# create a stream definition for the data from the ctd simulator
#------------------------------------------------------------------------------------------------
parameter_dictionary = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict')
ctd_stream_def_id = self.pubsubcli.create_stream_definition(name='Simulated CTD data', parameter_dictionary_id=parameter_dictionary._id)
log.debug("Created stream def id %s" % ctd_stream_def_id)
#------------------------------------------------------------------------------------------------
# test creating a new data product w/o a stream definition
#------------------------------------------------------------------------------------------------
# Generic time-series data domain creation
tdom, sdom = time_series_domain()
dp_obj = IonObject(RT.DataProduct,
name='DP1',
description='some new dp',
temporal_domain = tdom.dump(),
spatial_domain = sdom.dump())
dp_obj.geospatial_bounds.geospatial_latitude_limit_north = 10.0
dp_obj.geospatial_bounds.geospatial_latitude_limit_south = -10.0
dp_obj.geospatial_bounds.geospatial_longitude_limit_east = 10.0
dp_obj.geospatial_bounds.geospatial_longitude_limit_west = -10.0
dp_obj.ooi_product_name = "PRODNAME"
#------------------------------------------------------------------------------------------------
# Create a set of ParameterContext objects to define the parameters in the coverage, add each to the ParameterDictionary
#------------------------------------------------------------------------------------------------
dp_id = self.dpsc_cli.create_data_product( data_product= dp_obj,
stream_definition_id=ctd_stream_def_id)
# Assert that the data product has an associated stream at this stage
stream_ids, _ = self.rrclient.find_objects(dp_id, PRED.hasStream, RT.Stream, True)
self.assertNotEquals(len(stream_ids), 0)
# Assert that the data product has an associated stream def at this stage
stream_ids, _ = self.rrclient.find_objects(dp_id, PRED.hasStreamDefinition, RT.StreamDefinition, True)
self.assertNotEquals(len(stream_ids), 0)
self.dpsc_cli.activate_data_product_persistence(dp_id)
dp_obj = self.dpsc_cli.read_data_product(dp_id)
self.assertIsNotNone(dp_obj)
self.assertEquals(dp_obj.geospatial_point_center.lat, 0.0)
log.debug('Created data product %s', dp_obj)
#------------------------------------------------------------------------------------------------
# test creating a new data product with a stream definition
#------------------------------------------------------------------------------------------------
log.debug('Creating new data product with a stream definition')
dp_obj = IonObject(RT.DataProduct,
name='DP2',
description='some new dp',
temporal_domain = tdom.dump(),
spatial_domain = sdom.dump())
dp_id2 = self.dpsc_cli.create_data_product(dp_obj, ctd_stream_def_id)
self.dpsc_cli.activate_data_product_persistence(dp_id2)
log.debug('new dp_id = %s' % dp_id2)
#------------------------------------------------------------------------------------------------
#make sure data product is associated with stream def
#------------------------------------------------------------------------------------------------
streamdefs = []
streams, _ = self.rrclient.find_objects(dp_id2, PRED.hasStream, RT.Stream, True)
for s in streams:
log.debug("Checking stream %s" % s)
sdefs, _ = self.rrclient.find_objects(s, PRED.hasStreamDefinition, RT.StreamDefinition, True)
for sd in sdefs:
log.debug("Checking streamdef %s" % sd)
streamdefs.append(sd)
self.assertIn(ctd_stream_def_id, streamdefs)
group_names = self.dpsc_cli.get_data_product_group_list()
self.assertIn("PRODNAME", group_names)
# test reading a non-existent data product
log.debug('reading non-existent data product')
with self.assertRaises(NotFound):
dp_obj = self.dpsc_cli.read_data_product('some_fake_id')
# update a data product (tests read also)
log.debug('Updating data product')
# first get the existing dp object
dp_obj = self.dpsc_cli.read_data_product(dp_id)
# now tweak the object
dp_obj.description = 'the very first dp'
dp_obj.geospatial_bounds.geospatial_latitude_limit_north = 20.0
dp_obj.geospatial_bounds.geospatial_latitude_limit_south = -20.0
dp_obj.geospatial_bounds.geospatial_longitude_limit_east = 20.0
dp_obj.geospatial_bounds.geospatial_longitude_limit_west = -20.0
# now write the dp back to the registry
update_result = self.dpsc_cli.update_data_product(dp_obj)
# now get the dp back to see if it was updated
dp_obj = self.dpsc_cli.read_data_product(dp_id)
self.assertEquals(dp_obj.description,'the very first dp')
self.assertEquals(dp_obj.geospatial_point_center.lat, 0.0)
log.debug('Updated data product %s', dp_obj)
#test extension
extended_product = self.dpsc_cli.get_data_product_extension(dp_id)
self.assertEqual(dp_id, extended_product._id)
self.assertEqual(ComputedValueAvailability.PROVIDED,
extended_product.computed.product_download_size_estimated.status)
self.assertEqual(0, extended_product.computed.product_download_size_estimated.value)
self.assertEqual(ComputedValueAvailability.PROVIDED,
extended_product.computed.parameters.status)
#log.debug("test_create_data_product: parameters %s" % extended_product.computed.parameters.value)
def ion_object_encoder(obj):
return obj.__dict__
#test prepare for create
data_product_data = self.dpsc_cli.prepare_data_product_support()
#print simplejson.dumps(data_product_data, default=ion_object_encoder, indent= 2)
self.assertEqual(data_product_data._id, "")
self.assertEqual(data_product_data.type_, OT.DataProductPrepareSupport)
self.assertEqual(len(data_product_data.associations['StreamDefinition'].resources), 2)
self.assertEqual(len(data_product_data.associations['Dataset'].resources), 0)
self.assertEqual(len(data_product_data.associations['StreamDefinition'].associated_resources), 0)
self.assertEqual(len(data_product_data.associations['Dataset'].associated_resources), 0)
#test prepare for update
data_product_data = self.dpsc_cli.prepare_data_product_support(dp_id)
#print simplejson.dumps(data_product_data, default=ion_object_encoder, indent= 2)
self.assertEqual(data_product_data._id, dp_id)
self.assertEqual(data_product_data.type_, OT.DataProductPrepareSupport)
self.assertEqual(len(data_product_data.associations['StreamDefinition'].resources), 2)
self.assertEqual(len(data_product_data.associations['Dataset'].resources), 1)
self.assertEqual(len(data_product_data.associations['StreamDefinition'].associated_resources), 1)
self.assertEqual(data_product_data.associations['StreamDefinition'].associated_resources[0].s, dp_id)
self.assertEqual(len(data_product_data.associations['Dataset'].associated_resources), 1)
self.assertEqual(data_product_data.associations['Dataset'].associated_resources[0].s, dp_id)
# now 'delete' the data product
log.debug("deleting data product: %s" % dp_id)
self.dpsc_cli.delete_data_product(dp_id)
# Assert that there are no associated streams leftover after deleting the data product
stream_ids, assoc_ids = self.rrclient.find_objects(dp_id, PRED.hasStream, RT.Stream, True)
self.assertEquals(len(stream_ids), 0)
self.assertEquals(len(assoc_ids), 0)
self.dpsc_cli.force_delete_data_product(dp_id)
# now try to get the deleted dp object
with self.assertRaises(NotFound):
dp_obj = self.dpsc_cli.read_data_product(dp_id)
# Get the events corresponding to the data product
ret = self.unsc.get_recent_events(resource_id=dp_id)
events = ret.value
for event in events:
log.debug("event time: %s" % event.ts_created)
self.assertTrue(len(events) > 0)
def test_data_product_stream_def(self):
pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
ctd_stream_def_id = self.pubsubcli.create_stream_definition(name='Simulated CTD data', parameter_dictionary_id=pdict_id)
tdom, sdom = time_series_domain()
sdom = sdom.dump()
tdom = tdom.dump()
dp_obj = IonObject(RT.DataProduct,
name='DP1',
description='some new dp',
temporal_domain = tdom,
spatial_domain = sdom)
dp_id = self.dpsc_cli.create_data_product(data_product= dp_obj,
stream_definition_id=ctd_stream_def_id)
stream_def_id = self.dpsc_cli.get_data_product_stream_definition(dp_id)
self.assertEquals(ctd_stream_def_id, stream_def_id)
def test_derived_data_product(self):
pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
ctd_stream_def_id = self.pubsubcli.create_stream_definition(name='ctd parsed', parameter_dictionary_id=pdict_id)
self.addCleanup(self.pubsubcli.delete_stream_definition, ctd_stream_def_id)
tdom, sdom = time_series_domain()
dp = DataProduct(name='Instrument DP', temporal_domain=tdom.dump(), spatial_domain=sdom.dump())
dp_id = self.dpsc_cli.create_data_product(dp, stream_definition_id=ctd_stream_def_id)
self.addCleanup(self.dpsc_cli.force_delete_data_product, dp_id)
self.dpsc_cli.activate_data_product_persistence(dp_id)
self.addCleanup(self.dpsc_cli.suspend_data_product_persistence, dp_id)
dataset_ids, _ = self.rrclient.find_objects(subject=dp_id, predicate=PRED.hasDataset, id_only=True)
if not dataset_ids:
raise NotFound("Data Product %s dataset does not exist" % str(dp_id))
dataset_id = dataset_ids[0]
# Make the derived data product
simple_stream_def_id = self.pubsubcli.create_stream_definition(name='TEMPWAT stream def', parameter_dictionary_id=pdict_id, available_fields=['time','temp'])
tempwat_dp = DataProduct(name='TEMPWAT')
tempwat_dp_id = self.dpsc_cli.create_data_product(tempwat_dp, stream_definition_id=simple_stream_def_id, parent_data_product_id=dp_id)
self.addCleanup(self.dpsc_cli.delete_data_product, tempwat_dp_id)
# Check that the streams associated with the data product are persisted with
stream_ids, _ = self.rrclient.find_objects(dp_id,PRED.hasStream,RT.Stream,True)
for stream_id in stream_ids:
self.assertTrue(self.ingestclient.is_persisted(stream_id))
stream_id = stream_ids[0]
route = self.pubsubcli.read_stream_route(stream_id=stream_id)
rdt = RecordDictionaryTool(stream_definition_id=ctd_stream_def_id)
rdt['time'] = np.arange(20)
rdt['temp'] = np.arange(20)
rdt['pressure'] = np.arange(20)
publisher = StandaloneStreamPublisher(stream_id,route)
dataset_modified = Event()
def cb(*args, **kwargs):
dataset_modified.set()
es = EventSubscriber(event_type=OT.DatasetModified, callback=cb, origin=dataset_id, auto_delete=True)
es.start()
self.addCleanup(es.stop)
publisher.publish(rdt.to_granule())
self.assertTrue(dataset_modified.wait(30))
tempwat_dataset_ids, _ = self.rrclient.find_objects(tempwat_dp_id, PRED.hasDataset, id_only=True)
tempwat_dataset_id = tempwat_dataset_ids[0]
granule = self.data_retriever.retrieve(tempwat_dataset_id, delivery_format=simple_stream_def_id)
rdt = RecordDictionaryTool.load_from_granule(granule)
np.testing.assert_array_equal(rdt['time'], np.arange(20))
self.assertEquals(set(rdt.fields), set(['time','temp']))
def test_activate_suspend_data_product(self):
#------------------------------------------------------------------------------------------------
# create a stream definition for the data from the ctd simulator
#------------------------------------------------------------------------------------------------
pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
ctd_stream_def_id = self.pubsubcli.create_stream_definition(name='Simulated CTD data', parameter_dictionary_id=pdict_id)
log.debug("Created stream def id %s" % ctd_stream_def_id)
#------------------------------------------------------------------------------------------------
# test creating a new data product w/o a stream definition
#------------------------------------------------------------------------------------------------
# Construct temporal and spatial Coordinate Reference System objects
tdom, sdom = time_series_domain()
sdom = sdom.dump()
tdom = tdom.dump()
dp_obj = IonObject(RT.DataProduct,
name='DP1',
description='some new dp',
temporal_domain = tdom,
spatial_domain = sdom)
log.debug("Created an IonObject for a data product: %s" % dp_obj)
#------------------------------------------------------------------------------------------------
# Create a set of ParameterContext objects to define the parameters in the coverage, add each to the ParameterDictionary
#------------------------------------------------------------------------------------------------
dp_id = self.dpsc_cli.create_data_product(data_product= dp_obj,
stream_definition_id=ctd_stream_def_id)
#------------------------------------------------------------------------------------------------
# test activate and suspend data product persistence
#------------------------------------------------------------------------------------------------
self.dpsc_cli.activate_data_product_persistence(dp_id)
dp_obj = self.dpsc_cli.read_data_product(dp_id)
self.assertIsNotNone(dp_obj)
dataset_ids, _ = self.rrclient.find_objects(subject=dp_id, predicate=PRED.hasDataset, id_only=True)
if not dataset_ids:
raise NotFound("Data Product %s dataset does not exist" % str(dp_id))
dataset_id = dataset_ids[0]
# Check that the streams associated with the data product are persisted with
stream_ids, _ = self.rrclient.find_objects(dp_id,PRED.hasStream,RT.Stream,True)
for stream_id in stream_ids:
self.assertTrue(self.ingestclient.is_persisted(stream_id))
stream_id = stream_ids[0]
route = self.pubsubcli.read_stream_route(stream_id=stream_id)
rdt = RecordDictionaryTool(stream_definition_id=ctd_stream_def_id)
rdt['time'] = np.arange(20)
rdt['temp'] = np.arange(20)
publisher = StandaloneStreamPublisher(stream_id,route)
dataset_modified = Event()
def cb(*args, **kwargs):
dataset_modified.set()
es = EventSubscriber(event_type=OT.DatasetModified, callback=cb, origin=dataset_id, auto_delete=True)
es.start()
self.addCleanup(es.stop)
publisher.publish(rdt.to_granule())
self.assertTrue(dataset_modified.wait(30))
#--------------------------------------------------------------------------------
# Now get the data in one chunk using an RPC Call to start_retreive
#--------------------------------------------------------------------------------
replay_data = self.data_retriever.retrieve(dataset_ids[0])
self.assertIsInstance(replay_data, Granule)
log.debug("The data retriever was able to replay the dataset that was attached to the data product "
"we wanted to be persisted. Therefore the data product was indeed persisted with "
"otherwise we could not have retrieved its dataset using the data retriever. Therefore "
"this demonstration shows that L4-CI-SA-RQ-267 is satisfied: 'Data product management shall persist data products'")
data_product_object = self.rrclient.read(dp_id)
self.assertEquals(data_product_object.name,'DP1')
self.assertEquals(data_product_object.description,'some new dp')
log.debug("Towards L4-CI-SA-RQ-308: 'Data product management shall persist data product metadata'. "
" Attributes in create for the data product obj, name= '%s', description='%s', match those of object from the "
"resource registry, name='%s', desc='%s'" % (dp_obj.name, dp_obj.description,data_product_object.name,
data_product_object.description))
#------------------------------------------------------------------------------------------------
# test suspend data product persistence
#------------------------------------------------------------------------------------------------
self.dpsc_cli.suspend_data_product_persistence(dp_id)
dataset_modified.clear()
rdt['time'] = np.arange(20,40)
publisher.publish(rdt.to_granule())
self.assertFalse(dataset_modified.wait(2))
self.dpsc_cli.activate_data_product_persistence(dp_id)
dataset_modified.clear()
publisher.publish(rdt.to_granule())
self.assertTrue(dataset_modified.wait(30))
granule = self.data_retriever.retrieve(dataset_id)
rdt = RecordDictionaryTool.load_from_granule(granule)
np.testing.assert_array_almost_equal(rdt['time'], np.arange(40))
dataset_ids, _ = self.rrclient.find_objects(dp_id, PRED.hasDataset, id_only=True)
self.assertEquals(len(dataset_ids), 1)
self.dpsc_cli.suspend_data_product_persistence(dp_id)
self.dpsc_cli.force_delete_data_product(dp_id)
# now try to get the deleted dp object
with self.assertRaises(NotFound):
dp_obj = self.rrclient.read(dp_id)
def test_lookup_values(self):
ph = ParameterHelper(self.dataset_management, self.addCleanup)
pdict_id = ph.create_lookups()
stream_def_id = self.pubsubcli.create_stream_definition('lookup', parameter_dictionary_id=pdict_id)
self.addCleanup(self.pubsubcli.delete_stream_definition, stream_def_id)
data_product = DataProduct(name='lookup data product')
tdom, sdom = time_series_domain()
data_product.temporal_domain = tdom.dump()
data_product.spatial_domain = sdom.dump()
data_product_id = self.dpsc_cli.create_data_product(data_product, stream_definition_id=stream_def_id)
self.addCleanup(self.dpsc_cli.delete_data_product, data_product_id)
data_producer = DataProducer(name='producer')
data_producer.producer_context = DataProcessProducerContext()
data_producer.producer_context.configuration['qc_keys'] = ['offset_document']
data_producer_id, _ = self.rrclient.create(data_producer)
self.addCleanup(self.rrclient.delete, data_producer_id)
assoc,_ = self.rrclient.create_association(subject=data_product_id, object=data_producer_id, predicate=PRED.hasDataProducer)
self.addCleanup(self.rrclient.delete_association, assoc)
document_keys = self.damsclient.list_qc_references(data_product_id)
self.assertEquals(document_keys, ['offset_document'])
svm = StoredValueManager(self.container)
svm.stored_value_cas('offset_document', {'offset_a':2.0})
self.dpsc_cli.activate_data_product_persistence(data_product_id)
dataset_ids, _ = self.rrclient.find_objects(subject=data_product_id, predicate=PRED.hasDataset, id_only=True)
dataset_id = dataset_ids[0]
dataset_monitor = DatasetMonitor(dataset_id)
self.addCleanup(dataset_monitor.stop)
rdt = RecordDictionaryTool(stream_definition_id=stream_def_id)
rdt['time'] = [0]
rdt['temp'] = [20.]
granule = rdt.to_granule()
stream_ids, _ = self.rrclient.find_objects(subject=data_product_id, predicate=PRED.hasStream, id_only=True)
stream_id = stream_ids[0]
route = self.pubsubcli.read_stream_route(stream_id=stream_id)
publisher = StandaloneStreamPublisher(stream_id, route)
publisher.publish(granule)
self.assertTrue(dataset_monitor.event.wait(10))
granule = self.data_retriever.retrieve(dataset_id)
rdt2 = RecordDictionaryTool.load_from_granule(granule)
np.testing.assert_array_equal(rdt['temp'], rdt2['temp'])
np.testing.assert_array_almost_equal(rdt2['calibrated'], np.array([22.0]))
svm.stored_value_cas('updated_document', {'offset_a':3.0})
dataset_monitor = DatasetMonitor(dataset_id)
self.addCleanup(dataset_monitor.stop)
ep = EventPublisher(event_type=OT.ExternalReferencesUpdatedEvent)
ep.publish_event(origin=data_product_id, reference_keys=['updated_document'])
rdt = RecordDictionaryTool(stream_definition_id=stream_def_id)
rdt['time'] = [1]
rdt['temp'] = [20.]
granule = rdt.to_granule()
gevent.sleep(2) # Yield so that the event goes through
publisher.publish(granule)
self.assertTrue(dataset_monitor.event.wait(10))
granule = self.data_retriever.retrieve(dataset_id)
rdt2 = RecordDictionaryTool.load_from_granule(granule)
np.testing.assert_array_equal(rdt2['temp'],np.array([20.,20.]))
np.testing.assert_array_almost_equal(rdt2['calibrated'], np.array([22.0,23.0]))
class ProcessDispatcherServiceIntTest(IonIntegrationTestCase):
def setUp(self):
self._start_container()
self.container.start_rel_from_url('res/deploy/r2cei.yml')
self.pd_cli = ProcessDispatcherServiceClient(node=self.container.node)
self.process_definition = ProcessDefinition(name='test_process')
self.process_definition.executable = {
'module': 'ion.services.cei.test.test_process_dispatcher',
'class': 'TestProcess'
}
self.process_definition_id = self.pd_cli.create_process_definition(
self.process_definition)
self.event_queue = queue.Queue()
self.event_sub = None
def tearDown(self):
if self.event_sub:
self.event_sub.deactivate()
def _event_callback(self, event, *args, **kwargs):
self.event_queue.put(event)
def subscribe_events(self, origin):
self.event_sub = EventSubscriber(event_type="ProcessLifecycleEvent",
callback=self._event_callback,
origin=origin,
origin_type="DispatchedProcess")
self.event_sub.activate()
def await_state_event(self, pid, state):
event = self.event_queue.get(timeout=5)
log.debug("Got event: %s", event)
self.assertEqual(event.origin, pid)
self.assertEqual(event.state, state)
return event
def test_create_schedule_cancel(self):
process_schedule = ProcessSchedule()
pid = self.pd_cli.create_process(self.process_definition_id)
self.subscribe_events(pid)
pid2 = self.pd_cli.schedule_process(self.process_definition_id,
process_schedule,
configuration={},
process_id=pid)
self.assertEqual(pid, pid2)
self.await_state_event(pid, ProcessStateEnum.SPAWN)
# now try communicating with the process to make sure it is really running
test_client = TestClient()
for i in range(5):
# this timeout may be too low
self.assertEqual(i + 1, test_client.count(timeout=1))
# kill the process and start it again
self.pd_cli.cancel_process(pid)
self.await_state_event(pid, ProcessStateEnum.TERMINATE)
oldpid = pid
pid = self.pd_cli.create_process(self.process_definition_id)
self.subscribe_events(pid)
pid2 = self.pd_cli.schedule_process(self.process_definition_id,
process_schedule,
configuration={},
process_id=pid)
self.assertEqual(pid, pid2)
self.assertNotEqual(oldpid, pid)
self.await_state_event(pid, ProcessStateEnum.SPAWN)
for i in range(5):
# this timeout may be too low
self.assertEqual(i + 1, test_client.count(timeout=1))
# kill the process for good
self.pd_cli.cancel_process(pid)
self.await_state_event(pid, ProcessStateEnum.TERMINATE)
def test_schedule_bad_config(self):
process_schedule = ProcessSchedule()
# a non-JSON-serializable IonObject
o = ProcessTarget()
with self.assertRaises(BadRequest) as ar:
self.pd_cli.schedule_process(self.process_definition_id,
process_schedule,
configuration={"bad": o})
self.assertTrue(ar.exception.message.startswith("bad configuration"))
class ProcessLeak(Plugin):
"""
Plugin to detect runaway processes in tests on the server side. It is intended to work against a live process
dispatcher service during the entire nose run. Therefore, it works in conjunction with --with-pycc plugin
or a light CEI or full launch. Use greenleak plugin instead for leak detection in non-pycc mode.
"""
name = "processleak"
def __init__(self):
Plugin.__init__(self)
def options(self, parser, env):
super(ProcessLeak, self).options(parser, env=env)
parser.add_option("--list-procs", action="store_true", dest="list_procs", \
help="List all new procs created during the test")
def configure(self, options, conf):
super(ProcessLeak, self).configure(options, conf)
self._list_procs = options.list_procs
def begin(self):
from interface.services.cei.iprocess_dispatcher_service import ProcessDispatcherServiceClient
from pyon.net.messaging import make_node
from pyon.core import bootstrap
from pyon.public import CFG
self.base_pids = []
self.rpc_timeout = 2
self._procs_by_test = {}
if not bootstrap.pyon_initialized:
bootstrap.bootstrap_pyon()
self.node, self.ioloop = make_node()
self.node.setup_interceptors(CFG.interceptor)
self.pd_cli = ProcessDispatcherServiceClient(node=self.node)
def beforeTest(self, test):
from pyon.core.exception import Timeout
try:
self.base_pids = [
proc.process_id for proc in self.pd_cli.list_processes(
timeout=self.rpc_timeout)
]
except Timeout:
pass
def afterTest(self, test):
from pyon.core.exception import Timeout
from interface.objects import ProcessStateEnum
try:
current = self.pd_cli.list_processes(timeout=self.rpc_timeout)
from interface.objects import ProcessStateEnum
procs_leaked = [ (proc.process_id, ProcessStateEnum._str_map.get(proc.process_state)) for proc in current \
if proc.process_id not in self.base_pids and proc.process_state \
not in [ProcessStateEnum.TERMINATED, ProcessStateEnum.EXITED] ]
if self._list_procs:
all_procs = [ (proc.process_id, ProcessStateEnum._str_map.get(proc.process_state)) for proc in current \
if proc.process_id not in self.base_pids ]
if len(procs_leaked) > 0:
[
self.pd_cli.cancel_process(proc[0],
timeout=self.rpc_timeout)
for proc in procs_leaked
]
if self._list_procs:
self._procs_by_test[test.id()] = all_procs
else:
self._procs_by_test[test.id()] = procs_leaked
except Timeout:
pass
def report(self, stream):
table = []
for tid, procs in self._procs_by_test.iteritems():
# printable tid: don't need the full path
ptid = ".".join(tid.split(".")[-2:])
table.append([ptid, ""])
for proc in procs:
table.append(["", str(proc)])
table.append(["", ""])
# header
table.insert(0, ['Test', 'Leaked Processes'])
# get widths
widths = [
max([len(row[x]) for row in table]) for x in xrange(len(table[0]))
]
fmt_out = [
" ".join([x.ljust(widths[i]) for i, x in enumerate(row)])
for row in table
]
# insert col separation row
fmt_out.insert(
1,
" ".join([''.ljust(widths[i], '=') for i in xrange(len(widths))]))
# write this all to sstream
stream.write("Process leak report\n")
stream.write("\n".join(fmt_out))
stream.write("\n")
def finalize(self, result):
self.node.stop_node()
self.ioloop.join()
class ProcessStateGateIntTest(IonIntegrationTestCase):
def setUp(self):
self._start_container()
self.container.start_rel_from_url('res/deploy/r2cei.yml')
self.pd_cli = ProcessDispatcherServiceClient(node=self.container.node)
self.process_definition = IonObject(OT.ProcessDefinition,
name='test_process')
self.process_definition.executable = {
'module': 'ion.services.cei.test.test_process_state_gate',
'class': 'TestProcess'
}
self.process_definition_id = self.pd_cli.create_process_definition(
self.process_definition)
self.event_queue = queue.Queue()
self.process_schedule = IonObject(OT.ProcessSchedule)
self.process_schedule.queueing_mode = ProcessQueueingMode.ALWAYS
self.pid = self.pd_cli.create_process(self.process_definition_id)
self.event_queue = queue.Queue()
self.event_sub = EventSubscriber(event_type="ProcessLifecycleEvent",
callback=self._event_callback,
origin=self.pid,
origin_type="DispatchedProcess")
def tearDown(self):
#stop subscriber if its running
if self.event_sub and self.event_sub._cbthread:
self.event_sub.stop()
self._stop_container()
def _event_callback(self, event, *args, **kwargs):
self.event_queue.put(event)
def latest_event(self, timeout=10):
# get latest event from our local event subscriber
try:
event = self.event_queue.get(timeout=timeout)
except Empty:
event = None
return event
def await_state(self, state, timeout=10):
print "Emptying event queue"
while True:
event = self.latest_event(0)
if event:
print "State %s from event %s" % (event.state, event)
else:
break
self.event_sub.start()
#wait for process state
print "Setting up %s gate" % ProcessStateEnum._str_map[state]
gate = ProcessStateGate(self.pd_cli.read_process, self.pid, state)
print "Waiting"
ret = gate. await (timeout)
print "Await got %s" % ret
event = self.latest_event(timeout=1)
# check false positives/negatives
if ret and gate._get_first_chance() is None and event is None:
self.fail(
"ProcessStateGate got an event that EventSubscriber didnt....")
self.event_sub.stop()
if (not ret) or gate._get_last_chance():
if event and event.state == state:
self.fail(
"EventSubscriber got state event %s for process %s, ProcessStateGate missed it"
% (ProcessStateEnum._str_map[event.state], self.pid))
return ret
def process_start(self):
print "Scheduling process...",
self.pd_cli.schedule_process(self.process_definition_id,
self.process_schedule,
configuration={},
process_id=self.pid)
print "Done scheduling process."
def process_stop(self):
print "STOPPING process...",
self.pd_cli.cancel_process(self.pid)
print "Done stopping process"
def test_process_state_gate(self):
self.assertFalse(
self.await_state(ProcessStateEnum.RUNNING, 1),
"The process was reported as spawned, but we didn't yet")
print "GOING TO ACTUALLY START PROCESS NOW"
spawn_later(1, self.process_start)
self.assertTrue(self.await_state(ProcessStateEnum.RUNNING),
"The process did not spawn")
self.assertFalse(
self.await_state(ProcessStateEnum.TERMINATED, 1),
"The process claims to have terminated, but we didn't kill it")
print "communicating with the process to make sure it is really running"
test_client = TestClient()
for i in range(5):
self.assertEqual(i + 1, test_client.count(timeout=10))
spawn_later(1, self.process_stop)
self.assertTrue(
self.await_state(ProcessStateEnum.TERMINATED),
"The process failed to be reported as terminated when it was terminated"
)
self.assertFalse(
self.await_state(ProcessStateEnum.RUNNING, 1),
"The process was reported as spawned, but we killed it")
class TestActivateInstrumentIntegration(IonIntegrationTestCase):
def setUp(self):
# Start container
super(TestActivateInstrumentIntegration, self).setUp()
config = DotDict()
config.bootstrap.use_es = True
self._start_container()
self.addCleanup(TestActivateInstrumentIntegration.es_cleanup)
self.container.start_rel_from_url('res/deploy/r2deploy.yml', config)
# Now create client to DataProductManagementService
self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
self.damsclient = DataAcquisitionManagementServiceClient(
node=self.container.node)
self.pubsubcli = PubsubManagementServiceClient(
node=self.container.node)
self.imsclient = InstrumentManagementServiceClient(
node=self.container.node)
self.dpclient = DataProductManagementServiceClient(
node=self.container.node)
self.datasetclient = DatasetManagementServiceClient(
node=self.container.node)
self.processdispatchclient = ProcessDispatcherServiceClient(
node=self.container.node)
self.dataprocessclient = DataProcessManagementServiceClient(
node=self.container.node)
self.dataproductclient = DataProductManagementServiceClient(
node=self.container.node)
self.dataretrieverclient = DataRetrieverServiceClient(
node=self.container.node)
self.dataset_management = DatasetManagementServiceClient()
self.usernotificationclient = UserNotificationServiceClient()
#setup listerner vars
self._data_greenlets = []
self._no_samples = None
self._samples_received = []
self.event_publisher = EventPublisher()
@staticmethod
def es_cleanup():
es_host = CFG.get_safe('server.elasticsearch.host', 'localhost')
es_port = CFG.get_safe('server.elasticsearch.port', '9200')
es = ep.ElasticSearch(host=es_host, port=es_port, timeout=10)
indexes = STD_INDEXES.keys()
indexes.append('%s_resources_index' % get_sys_name().lower())
indexes.append('%s_events_index' % get_sys_name().lower())
for index in indexes:
IndexManagementService._es_call(es.river_couchdb_delete, index)
IndexManagementService._es_call(es.index_delete, index)
def create_logger(self, name, stream_id=''):
# logger process
producer_definition = ProcessDefinition(name=name + '_logger')
producer_definition.executable = {
'module': 'ion.processes.data.stream_granule_logger',
'class': 'StreamGranuleLogger'
}
logger_procdef_id = self.processdispatchclient.create_process_definition(
process_definition=producer_definition)
configuration = {
'process': {
'stream_id': stream_id,
}
}
pid = self.processdispatchclient.schedule_process(
process_definition_id=logger_procdef_id,
configuration=configuration)
return pid
def _create_notification(self,
user_name='',
instrument_id='',
product_id=''):
#--------------------------------------------------------------------------------------
# Make notification request objects
#--------------------------------------------------------------------------------------
notification_request_1 = NotificationRequest(
name='notification_1',
origin=instrument_id,
origin_type="instrument",
event_type='ResourceLifecycleEvent')
notification_request_2 = NotificationRequest(
name='notification_2',
origin=product_id,
origin_type="data product",
event_type='DetectionEvent')
#--------------------------------------------------------------------------------------
# Create a user and get the user_id
#--------------------------------------------------------------------------------------
user = UserInfo()
user.name = user_name
user.contact.email = '*****@*****.**' % user_name
user_id, _ = self.rrclient.create(user)
#--------------------------------------------------------------------------------------
# Create notification
#--------------------------------------------------------------------------------------
self.usernotificationclient.create_notification(
notification=notification_request_1, user_id=user_id)
self.usernotificationclient.create_notification(
notification=notification_request_2, user_id=user_id)
log.debug(
"test_activateInstrumentSample: create_user_notifications user_id %s",
str(user_id))
return user_id
def get_datastore(self, dataset_id):
dataset = self.datasetclient.read_dataset(dataset_id)
datastore_name = dataset.datastore_name
datastore = self.container.datastore_manager.get_datastore(
datastore_name, DataStore.DS_PROFILE.SCIDATA)
return datastore
def _check_computed_attributes_of_extended_instrument(
self, expected_instrument_device_id='', extended_instrument=None):
# Verify that computed attributes exist for the extended instrument
self.assertIsInstance(
extended_instrument.computed.last_data_received_datetime,
ComputedFloatValue)
self.assertIsInstance(extended_instrument.computed.uptime,
ComputedStringValue)
self.assertIsInstance(
extended_instrument.computed.power_status_roll_up,
ComputedIntValue)
self.assertIsInstance(
extended_instrument.computed.communications_status_roll_up,
ComputedIntValue)
self.assertIsInstance(extended_instrument.computed.data_status_roll_up,
ComputedIntValue)
self.assertIsInstance(
extended_instrument.computed.location_status_roll_up,
ComputedIntValue)
# the following assert will not work without elasticsearch.
#self.assertEqual( 1, len(extended_instrument.computed.user_notification_requests.value) )
# Verify the computed attribute for user notification requests
self.assertEqual(
1,
len(extended_instrument.computed.user_notification_requests.value))
notifications = extended_instrument.computed.user_notification_requests.value
notification = notifications[0]
self.assertEqual(expected_instrument_device_id, notification.origin)
self.assertEqual("instrument", notification.origin_type)
self.assertEqual('ResourceLifecycleEvent', notification.event_type)
def _check_computed_attributes_of_extended_product(
self, expected_data_product_id='', extended_data_product=None):
self.assertEqual(expected_data_product_id, extended_data_product._id)
log.debug("extended_data_product.computed: %s",
extended_data_product.computed)
# Verify that computed attributes exist for the extended instrument
self.assertIsInstance(
extended_data_product.computed.product_download_size_estimated,
ComputedFloatValue)
self.assertIsInstance(
extended_data_product.computed.number_active_subscriptions,
ComputedIntValue)
self.assertIsInstance(extended_data_product.computed.data_url,
ComputedStringValue)
self.assertIsInstance(extended_data_product.computed.stored_data_size,
ComputedIntValue)
self.assertIsInstance(extended_data_product.computed.recent_granules,
ComputedDictValue)
self.assertIsInstance(extended_data_product.computed.parameters,
ComputedListValue)
self.assertIsInstance(extended_data_product.computed.recent_events,
ComputedEventListValue)
self.assertIsInstance(extended_data_product.computed.provenance,
ComputedDictValue)
self.assertIsInstance(
extended_data_product.computed.user_notification_requests,
ComputedListValue)
self.assertIsInstance(
extended_data_product.computed.active_user_subscriptions,
ComputedListValue)
self.assertIsInstance(
extended_data_product.computed.past_user_subscriptions,
ComputedListValue)
self.assertIsInstance(extended_data_product.computed.last_granule,
ComputedDictValue)
self.assertIsInstance(extended_data_product.computed.is_persisted,
ComputedIntValue)
self.assertIsInstance(
extended_data_product.computed.data_contents_updated,
ComputedStringValue)
self.assertIsInstance(extended_data_product.computed.data_datetime,
ComputedListValue)
# exact text here keeps changing to fit UI capabilities. keep assertion general...
self.assertIn(
'ok',
extended_data_product.computed.last_granule.value['quality_flag'])
self.assertEqual(
2, len(extended_data_product.computed.data_datetime.value))
notifications = extended_data_product.computed.user_notification_requests.value
notification = notifications[0]
self.assertEqual(expected_data_product_id, notification.origin)
self.assertEqual("data product", notification.origin_type)
self.assertEqual('DetectionEvent', notification.event_type)
@attr('LOCOINT')
#@unittest.skip('refactoring')
@unittest.skipIf(not use_es, 'No ElasticSearch')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),
'Skip test while in CEI LAUNCH mode')
@patch.dict(CFG, {'endpoint': {'receive': {'timeout': 90}}})
def test_activateInstrumentSample(self):
self.loggerpids = []
# Create InstrumentModel
instModel_obj = IonObject(RT.InstrumentModel,
name='SBE37IMModel',
description="SBE37IMModel")
instModel_id = self.imsclient.create_instrument_model(instModel_obj)
log.debug('new InstrumentModel id = %s ', instModel_id)
raw_config = StreamConfiguration(stream_name='raw',
parameter_dictionary_name='raw')
parsed_config = StreamConfiguration(
stream_name='parsed',
parameter_dictionary_name='ctd_parsed_param_dict')
# Create InstrumentAgent
instAgent_obj = IonObject(
RT.InstrumentAgent,
name='agent007',
description="SBE37IMAgent",
driver_uri=DRV_URI_GOOD,
stream_configurations=[raw_config, parsed_config])
instAgent_id = self.imsclient.create_instrument_agent(instAgent_obj)
log.debug('new InstrumentAgent id = %s', instAgent_id)
self.imsclient.assign_instrument_model_to_instrument_agent(
instModel_id, instAgent_id)
# Create InstrumentDevice
log.debug(
'test_activateInstrumentSample: Create instrument resource to represent the SBE37 (SA Req: L4-CI-SA-RQ-241) '
)
instDevice_obj = IonObject(RT.InstrumentDevice,
name='SBE37IMDevice',
description="SBE37IMDevice",
serial_number="12345")
instDevice_id = self.imsclient.create_instrument_device(
instrument_device=instDevice_obj)
self.imsclient.assign_instrument_model_to_instrument_device(
instModel_id, instDevice_id)
log.debug(
"test_activateInstrumentSample: new InstrumentDevice id = %s (SA Req: L4-CI-SA-RQ-241) ",
instDevice_id)
port_agent_config = {
'device_addr': CFG.device.sbe37.host,
'device_port': CFG.device.sbe37.port,
'process_type': PortAgentProcessType.UNIX,
'binary_path': "port_agent",
'port_agent_addr': 'localhost',
'command_port': CFG.device.sbe37.port_agent_cmd_port,
'data_port': CFG.device.sbe37.port_agent_data_port,
'log_level': 5,
'type': PortAgentType.ETHERNET
}
instAgentInstance_obj = IonObject(RT.InstrumentAgentInstance,
name='SBE37IMAgentInstance',
description="SBE37IMAgentInstance",
port_agent_config=port_agent_config,
alerts=[])
instAgentInstance_id = self.imsclient.create_instrument_agent_instance(
instAgentInstance_obj, instAgent_id, instDevice_id)
tdom, sdom = time_series_domain()
sdom = sdom.dump()
tdom = tdom.dump()
parsed_pdict_id = self.dataset_management.read_parameter_dictionary_by_name(
'ctd_parsed_param_dict', id_only=True)
parsed_stream_def_id = self.pubsubcli.create_stream_definition(
name='parsed', parameter_dictionary_id=parsed_pdict_id)
raw_pdict_id = self.dataset_management.read_parameter_dictionary_by_name(
'raw', id_only=True)
raw_stream_def_id = self.pubsubcli.create_stream_definition(
name='raw', parameter_dictionary_id=raw_pdict_id)
#-------------------------------
# Create Raw and Parsed Data Products for the device
#-------------------------------
dp_obj = IonObject(RT.DataProduct,
name='the parsed data',
description='ctd stream test',
temporal_domain=tdom,
spatial_domain=sdom)
data_product_id1 = self.dpclient.create_data_product(
data_product=dp_obj, stream_definition_id=parsed_stream_def_id)
log.debug('new dp_id = %s', data_product_id1)
self.dpclient.activate_data_product_persistence(
data_product_id=data_product_id1)
self.damsclient.assign_data_product(input_resource_id=instDevice_id,
data_product_id=data_product_id1)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(data_product_id1,
PRED.hasStream, None, True)
log.debug('Data product streams1 = %s', stream_ids)
# Retrieve the id of the OUTPUT stream from the out Data Product
dataset_ids, _ = self.rrclient.find_objects(data_product_id1,
PRED.hasDataset,
RT.Dataset, True)
log.debug('Data set for data_product_id1 = %s', dataset_ids[0])
self.parsed_dataset = dataset_ids[0]
pid = self.create_logger('ctd_parsed', stream_ids[0])
self.loggerpids.append(pid)
dp_obj = IonObject(RT.DataProduct,
name='the raw data',
description='raw stream test',
temporal_domain=tdom,
spatial_domain=sdom)
data_product_id2 = self.dpclient.create_data_product(
data_product=dp_obj, stream_definition_id=raw_stream_def_id)
log.debug('new dp_id = %s', data_product_id2)
self.damsclient.assign_data_product(input_resource_id=instDevice_id,
data_product_id=data_product_id2)
self.dpclient.activate_data_product_persistence(
data_product_id=data_product_id2)
# setup notifications for the device and parsed data product
user_id_1 = self._create_notification(user_name='user_1',
instrument_id=instDevice_id,
product_id=data_product_id1)
#---------- Create notifications for another user and verify that we see different computed subscriptions for the two users ---------
user_id_2 = self._create_notification(user_name='user_2',
instrument_id=instDevice_id,
product_id=data_product_id2)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(data_product_id2,
PRED.hasStream, None, True)
log.debug('Data product streams2 = %s', str(stream_ids))
# Retrieve the id of the OUTPUT stream from the out Data Product
dataset_ids, _ = self.rrclient.find_objects(data_product_id2,
PRED.hasDataset,
RT.Dataset, True)
log.debug('Data set for data_product_id2 = %s', dataset_ids[0])
self.raw_dataset = dataset_ids[0]
#elastic search debug
es_indexes, _ = self.container.resource_registry.find_resources(
restype='ElasticSearchIndex')
log.debug('ElasticSearch indexes: %s', [i.name for i in es_indexes])
log.debug('Bootstrap %s', CFG.bootstrap.use_es)
def start_instrument_agent():
self.imsclient.start_instrument_agent_instance(
instrument_agent_instance_id=instAgentInstance_id)
gevent.joinall([gevent.spawn(start_instrument_agent)])
#cleanup
self.addCleanup(self.imsclient.stop_instrument_agent_instance,
instrument_agent_instance_id=instAgentInstance_id)
#wait for start
inst_agent_instance_obj = self.imsclient.read_instrument_agent_instance(
instAgentInstance_id)
gate = AgentProcessStateGate(self.processdispatchclient.read_process,
instDevice_id, ProcessStateEnum.RUNNING)
self.assertTrue(
gate. await (30),
"The instrument agent instance (%s) did not spawn in 30 seconds" %
gate.process_id)
#log.trace('Instrument agent instance obj: = %s' , str(inst_agent_instance_obj))
# Start a resource agent client to talk with the instrument agent.
self._ia_client = ResourceAgentClient(instDevice_id,
to_name=gate.process_id,
process=FakeProcess())
log.debug("test_activateInstrumentSample: got ia client %s",
str(self._ia_client))
cmd = AgentCommand(command=ResourceAgentEvent.INITIALIZE)
retval = self._ia_client.execute_agent(cmd)
log.debug("test_activateInstrumentSample: initialize %s", str(retval))
state = self._ia_client.get_agent_state()
self.assertEqual(ResourceAgentState.INACTIVE, state)
log.debug("(L4-CI-SA-RQ-334): Sending go_active command ")
cmd = AgentCommand(command=ResourceAgentEvent.GO_ACTIVE)
reply = self._ia_client.execute_agent(cmd)
log.debug("test_activateInstrument: return value from go_active %s",
str(reply))
state = self._ia_client.get_agent_state()
self.assertEqual(ResourceAgentState.IDLE, state)
cmd = AgentCommand(command=ResourceAgentEvent.GET_RESOURCE_STATE)
retval = self._ia_client.execute_agent(cmd)
state = retval.result
log.debug(
"(L4-CI-SA-RQ-334): current state after sending go_active command %s",
str(state))
cmd = AgentCommand(command=ResourceAgentEvent.RUN)
reply = self._ia_client.execute_agent(cmd)
log.debug("test_activateInstrumentSample: run %s", str(reply))
state = self._ia_client.get_agent_state()
self.assertEqual(ResourceAgentState.COMMAND, state)
cmd = AgentCommand(command=ResourceAgentEvent.PAUSE)
retval = self._ia_client.execute_agent(cmd)
state = self._ia_client.get_agent_state()
self.assertEqual(ResourceAgentState.STOPPED, state)
cmd = AgentCommand(command=ResourceAgentEvent.RESUME)
retval = self._ia_client.execute_agent(cmd)
state = self._ia_client.get_agent_state()
self.assertEqual(ResourceAgentState.COMMAND, state)
cmd = AgentCommand(command=ResourceAgentEvent.CLEAR)
retval = self._ia_client.execute_agent(cmd)
state = self._ia_client.get_agent_state()
self.assertEqual(ResourceAgentState.IDLE, state)
cmd = AgentCommand(command=ResourceAgentEvent.RUN)
retval = self._ia_client.execute_agent(cmd)
state = self._ia_client.get_agent_state()
self.assertEqual(ResourceAgentState.COMMAND, state)
cmd = AgentCommand(command=SBE37ProtocolEvent.ACQUIRE_SAMPLE)
for i in xrange(10):
retval = self._ia_client.execute_resource(cmd)
log.debug("test_activateInstrumentSample: return from sample %s",
str(retval))
log.debug("test_activateInstrumentSample: calling reset ")
cmd = AgentCommand(command=ResourceAgentEvent.RESET)
reply = self._ia_client.execute_agent(cmd)
log.debug("test_activateInstrumentSample: return from reset %s",
str(reply))
#--------------------------------------------------------------------------------
# Now get the data in one chunk using an RPC Call to start_retreive
#--------------------------------------------------------------------------------
replay_data_raw = self.dataretrieverclient.retrieve(self.raw_dataset)
self.assertIsInstance(replay_data_raw, Granule)
rdt_raw = RecordDictionaryTool.load_from_granule(replay_data_raw)
log.debug("RDT raw: %s", str(rdt_raw.pretty_print()))
self.assertIn('raw', rdt_raw)
raw_vals = rdt_raw['raw']
all_raw = "".join(raw_vals)
# look for 't' entered after a prompt -- ">t"
t_commands = all_raw.count(">t")
if 10 != t_commands:
log.error("%s raw_vals: ", len(raw_vals))
for i, r in enumerate(raw_vals):
log.error("raw val %s: %s", i, [r])
self.fail("Expected 10 't' strings in raw_vals, got %s" %
t_commands)
else:
log.debug("%s raw_vals: ", len(raw_vals))
for i, r in enumerate(raw_vals):
log.debug("raw val %s: %s", i, [r])
replay_data_parsed = self.dataretrieverclient.retrieve(
self.parsed_dataset)
self.assertIsInstance(replay_data_parsed, Granule)
rdt_parsed = RecordDictionaryTool.load_from_granule(replay_data_parsed)
log.debug("test_activateInstrumentSample: RDT parsed: %s",
str(rdt_parsed.pretty_print()))
self.assertIn('temp', rdt_parsed)
temp_vals = rdt_parsed['temp']
pressure_vals = rdt_parsed['pressure']
if 10 != len(temp_vals):
log.error("%s temp_vals: %s", len(temp_vals), temp_vals)
self.fail("Expected 10 temp_vals, got %s" % len(temp_vals))
log.debug("l4-ci-sa-rq-138")
"""
Physical resource control shall be subject to policy
Instrument management control capabilities shall be subject to policy
The actor accessing the control capabilities must be authorized to send commands.
note from maurice 2012-05-18: Talk to tim M to verify that this is policy. If it is then talk with Stephen to
get an example of a policy test and use that to create a test stub that will be
completed when we have instrument policies.
Tim M: The "actor", aka observatory operator, will access the instrument through ION.
"""
#--------------------------------------------------------------------------------
# Get the extended data product to see if it contains the granules
#--------------------------------------------------------------------------------
extended_product = self.dpclient.get_data_product_extension(
data_product_id=data_product_id1, user_id=user_id_1)
def poller(extended_product):
return len(extended_product.computed.user_notification_requests.
value) == 1
poll(poller, extended_product, timeout=30)
self._check_computed_attributes_of_extended_product(
expected_data_product_id=data_product_id1,
extended_data_product=extended_product)
#--------------------------------------------------------------------------------
# Get the extended instrument
#--------------------------------------------------------------------------------
extended_instrument = self.imsclient.get_instrument_device_extension(
instrument_device_id=instDevice_id, user_id=user_id_1)
#--------------------------------------------------------------------------------
# For the second user, check the extended data product and the extended intrument
#--------------------------------------------------------------------------------
extended_product = self.dpclient.get_data_product_extension(
data_product_id=data_product_id2, user_id=user_id_2)
self._check_computed_attributes_of_extended_product(
expected_data_product_id=data_product_id2,
extended_data_product=extended_product)
#--------------------------------------------------------------------------------
# Get the extended instrument
#--------------------------------------------------------------------------------
extended_instrument = self.imsclient.get_instrument_device_extension(
instrument_device_id=instDevice_id, user_id=user_id_2)
self._check_computed_attributes_of_extended_instrument(
expected_instrument_device_id=instDevice_id,
extended_instrument=extended_instrument)
#--------------------------------------------------------------------------------
# Deactivate loggers
#--------------------------------------------------------------------------------
for pid in self.loggerpids:
self.processdispatchclient.cancel_process(pid)
self.dpclient.delete_data_product(data_product_id1)
self.dpclient.delete_data_product(data_product_id2)
class ProcessLeak(Plugin):
"""
Plugin to detect runaway processes in tests on the server side. It is intended to work against a live process
dispatcher service during the entire nose run. Therefore, it works in conjunction with --with-pycc plugin
or a light CEI or full launch. Use greenleak plugin instead for leak detection in non-pycc mode.
"""
name = "processleak"
def __init__(self):
Plugin.__init__(self)
def options(self, parser, env):
super(ProcessLeak, self).options(parser, env=env)
parser.add_option("--list-procs", action="store_true", dest="list_procs", \
help="List all new procs created during the test")
def configure(self, options, conf):
super(ProcessLeak, self).configure(options, conf)
self._list_procs = options.list_procs
def begin(self):
from interface.services.cei.iprocess_dispatcher_service import ProcessDispatcherServiceClient
from pyon.net.messaging import make_node
from pyon.core import bootstrap
from pyon.public import CFG
self.rpc_timeout = 2
self.base_pids = []
self._procs_by_test = {}
if not bootstrap.pyon_initialized:
bootstrap.bootstrap_pyon()
self.node, self.ioloop = make_node()
self.node.setup_interceptors(CFG.interceptor)
self.pd_cli = ProcessDispatcherServiceClient(node=self.node)
# Set base_pids once
from pyon.core.exception import Timeout
try:
self.base_pids = [ proc.process_id for proc in self.pd_cli.list_processes(timeout=20) ]
except Timeout:
pass
def beforeTest(self, test):
from pyon.core.exception import Timeout
#Only populate self.base_pids if it' still empty
if not self.base_pids:
try:
self.base_pids = [ proc.process_id for proc in self.pd_cli.list_processes(timeout=self.rpc_timeout) ]
except Timeout:
pass
def afterTest(self, test):
from pyon.core.exception import Timeout
from interface.objects import ProcessStateEnum
try:
current = self.pd_cli.list_processes(timeout=self.rpc_timeout)
from interface.objects import ProcessStateEnum
procs_leaked = [ (proc.process_id, ProcessStateEnum._str_map.get(proc.process_state)) for proc in current \
if proc.process_id not in self.base_pids and proc.process_state \
not in [ProcessStateEnum.TERMINATED, ProcessStateEnum.EXITED] ]
if self._list_procs:
all_procs = [ (proc.process_id, ProcessStateEnum._str_map.get(proc.process_state)) for proc in current \
if proc.process_id not in self.base_pids ]
if len(procs_leaked) > 0:
[ self.pd_cli.cancel_process(proc[0], timeout=self.rpc_timeout) for proc in procs_leaked ]
if self._list_procs:
self._procs_by_test[test.id()] = all_procs
else:
self._procs_by_test[test.id()] = procs_leaked
except Timeout:
pass
def report(self, stream):
table = []
for tid, procs in self._procs_by_test.iteritems():
# printable tid: don't need the full path
ptid = ".".join(tid.split(".")[-2:])
table.append([ptid, ""])
for proc in procs:
table.append(["", str(proc)])
table.append(["", ""])
# header
table.insert(0, ['Test', 'Leaked Processes'])
# get widths
widths = [max([len(row[x]) for row in table]) for x in xrange(len(table[0]))]
fmt_out = [" ".join([x.ljust(widths[i]) for i, x in enumerate(row)]) for row in table]
# insert col separation row
fmt_out.insert(1, " ".join([''.ljust(widths[i], '=') for i in xrange(len(widths))]))
# write this all to sstream
stream.write("Process leak report\n")
stream.write("\n".join(fmt_out))
stream.write("\n")
def finalize(self, result):
self.node.stop_node()
self.ioloop.join()
class VisualizationIntegrationTestHelper(IonIntegrationTestCase):
def create_ctd_input_stream_and_data_product(self, data_product_name='ctd_parsed'):
cc = self.container
assertions = self.assertTrue
# Now create client to DataProductManagementService
self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
self.damsclient = DataAcquisitionManagementServiceClient(node=self.container.node)
self.pubsubclient = PubsubManagementServiceClient(node=self.container.node)
self.ingestclient = IngestionManagementServiceClient(node=self.container.node)
self.imsclient = InstrumentManagementServiceClient(node=self.container.node)
self.dataproductclient = DataProductManagementServiceClient(node=self.container.node)
self.dataprocessclient = DataProcessManagementServiceClient(node=self.container.node)
self.datasetclient = DatasetManagementServiceClient(node=self.container.node)
self.workflowclient = WorkflowManagementServiceClient(node=self.container.node)
self.process_dispatcher = ProcessDispatcherServiceClient(node=self.container.node)
self.vis_client = VisualizationServiceClient(node=self.container.node)
#-------------------------------
# Create CTD Parsed as the initial data product
#-------------------------------
# create a stream definition for the data from the ctd simulator
ctd_stream_def = SBE37_CDM_stream_definition()
ctd_stream_def_id = self.pubsubclient.create_stream_definition(container=ctd_stream_def, name='Simulated CTD data')
log.debug('Creating new CDM data product with a stream definition')
craft = CoverageCraft
sdom, tdom = craft.create_domains()
sdom = sdom.dump()
tdom = tdom.dump()
parameter_dictionary = craft.create_parameters()
parameter_dictionary = parameter_dictionary.dump()
dp_obj = IonObject(RT.DataProduct,
name=data_product_name,
description='ctd stream test',
temporal_domain = tdom,
spatial_domain = sdom)
ctd_parsed_data_product_id = self.dataproductclient.create_data_product(dp_obj, ctd_stream_def_id, parameter_dictionary)
log.debug('new ctd_parsed_data_product_id = %s' % ctd_parsed_data_product_id)
#Only ever need one device for testing purposes.
instDevice_obj,_ = self.rrclient.find_resources(restype=RT.InstrumentDevice, name='SBE37IMDevice')
if instDevice_obj:
instDevice_id = instDevice_obj[0]._id
else:
instDevice_obj = IonObject(RT.InstrumentDevice, name='SBE37IMDevice', description="SBE37IMDevice", serial_number="12345" )
instDevice_id = self.imsclient.create_instrument_device(instrument_device=instDevice_obj)
self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=ctd_parsed_data_product_id)
self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_parsed_data_product_id)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(ctd_parsed_data_product_id, PRED.hasStream, None, True)
assertions(len(stream_ids) > 0 )
ctd_stream_id = stream_ids[0]
return ctd_stream_id, ctd_parsed_data_product_id
def create_data_product(self, dp_name = "", dp_description = ""):
craft = CoverageCraft
sdom, tdom = craft.create_domains()
sdom = sdom.dump()
tdom = tdom.dump()
parameter_dictionary = craft.create_parameters() # this creates a ParameterDictionary object
parameter_dictionary = parameter_dictionary.dump() # this returns a python dictionary
data_prod_obj = IonObject(RT.DataProduct,
name=dp_name,
description=dp_description,
temporal_domain = tdom,
spatial_domain = sdom)
data_prod_id = self.create_data_product(data_prod_obj, stream_definition_id, parameter_dictionary)
return data_prod_id, data_prod_obj
def start_simple_input_stream_process(self, ctd_stream_id):
return self.start_input_stream_process(ctd_stream_id)
def start_sinusoidal_input_stream_process(self, ctd_stream_id):
return self.start_input_stream_process(ctd_stream_id, 'ion.processes.data.sinusoidal_stream_publisher', 'SinusoidalCtdPublisher')
def start_input_stream_process(self, ctd_stream_id, module = 'ion.processes.data.ctd_stream_publisher', class_name= 'SimpleCtdPublisher'):
###
### Start the process for producing the CTD data
###
# process definition for the ctd simulator...
producer_definition = ProcessDefinition()
producer_definition.executable = {
'module':module,
'class':class_name
}
ctd_sim_procdef_id = self.process_dispatcher.create_process_definition(process_definition=producer_definition)
# Start the ctd simulator to produce some data
configuration = {
'process':{
'stream_id':ctd_stream_id,
}
}
ctd_sim_pid = self.process_dispatcher.schedule_process(process_definition_id=ctd_sim_procdef_id, configuration=configuration)
return ctd_sim_pid
def start_output_stream_and_listen(self, ctd_stream_id, data_product_stream_ids, message_count_per_stream=10):
cc = self.container
assertions = self.assertTrue
###
### Make a subscriber in the test to listen for transformed data
###
salinity_subscription_id = self.pubsubclient.create_subscription(
query=StreamQuery(data_product_stream_ids),
exchange_name = 'workflow_test',
exchange_point = 'science_data',
name = "test workflow transformations",
)
pid = cc.spawn_process(name='dummy_process_for_test',
module='pyon.ion.process',
cls='SimpleProcess',
config={})
dummy_process = cc.proc_manager.procs[pid]
subscriber_registrar = StreamSubscriberRegistrar(process=dummy_process, container=cc)
result = gevent.event.AsyncResult()
results = []
message_count = len(data_product_stream_ids) * message_count_per_stream
def message_received(message, headers):
# Heads
results.append(message)
if len(results) >= message_count: #Only wait for so many messages - per stream
result.set(True)
subscriber = subscriber_registrar.create_subscriber(exchange_name='workflow_test', callback=message_received)
subscriber.start()
# after the queue has been created it is safe to activate the subscription
self.pubsubclient.activate_subscription(subscription_id=salinity_subscription_id)
#Start the input stream process
if ctd_stream_id is not None:
ctd_sim_pid = self.start_simple_input_stream_process(ctd_stream_id)
# Assert that we have received data
assertions(result.get(timeout=30))
# stop the flow parse the messages...
if ctd_stream_id is not None:
self.process_dispatcher.cancel_process(ctd_sim_pid) # kill the ctd simulator process - that is enough data
self.pubsubclient.deactivate_subscription(subscription_id=salinity_subscription_id)
subscriber.stop()
return results
def validate_messages(self, results):
cc = self.container
assertions = self.assertTrue
first_salinity_values = None
for message in results:
rdt = RecordDictionaryTool.load_from_granule(message)
try:
temp = get_safe(rdt, 'temp')
# psd = PointSupplementStreamParser(stream_definition=self.ctd_stream_def, stream_granule=message)
# temp = psd.get_values('temperature')
# log.info(psd.list_field_names())
except KeyError as ke:
temp = None
if temp is not None:
assertions(isinstance(temp, numpy.ndarray))
log.info( 'temperature=' + str(numpy.nanmin(temp)))
first_salinity_values = None
else:
#psd = PointSupplementStreamParser(stream_definition=SalinityTransform.outgoing_stream_def, stream_granule=message)
#log.info( psd.list_field_names())
# Test the handy info method for the names of fields in the stream def
#assertions('salinity' in psd.list_field_names())
# you have to know the name of the coverage in stream def
salinity = get_safe(rdt, 'salinity')
#salinity = psd.get_values('salinity')
log.info( 'salinity=' + str(numpy.nanmin(salinity)))
# Check to see if salinity has values
assertions(salinity != None)
assertions(isinstance(salinity, numpy.ndarray))
assertions(numpy.nanmin(salinity) > 0.0) # salinity should always be greater than 0
if first_salinity_values is None:
first_salinity_values = salinity.tolist()
else:
second_salinity_values = salinity.tolist()
assertions(len(first_salinity_values) == len(second_salinity_values))
for idx in range(0,len(first_salinity_values)):
assertions(first_salinity_values[idx]*2.0 == second_salinity_values[idx])
def validate_data_ingest_retrieve(self, dataset_id):
assertions = self.assertTrue
self.data_retriever = DataRetrieverServiceClient(node=self.container.node)
#validate that data was ingested
replay_granule = self.data_retriever.retrieve_last_granule(dataset_id)
rdt = RecordDictionaryTool.load_from_granule(replay_granule)
salinity = get_safe(rdt, 'salinity')
assertions(salinity != None)
#retrieve all the granules from the database and check the values
replay_granule_all = self.data_retriever.retrieve(dataset_id)
rdt = RecordDictionaryTool.load_from_granule(replay_granule_all)
for k, v in rdt.iteritems():
if k == 'salinity':
for val in numpy.nditer(v):
assertions(val > 0)
def create_salinity_data_process_definition(self):
# Salinity: Data Process Definition
#First look to see if it exists and if not, then create it
dpd,_ = self.rrclient.find_resources(restype=RT.DataProcessDefinition, name='ctd_salinity')
if len(dpd) > 0:
return dpd[0]
log.debug("Create data process definition SalinityTransform")
dpd_obj = IonObject(RT.DataProcessDefinition,
name='ctd_salinity',
description='create a salinity data product',
module='ion.processes.data.transforms.ctd.ctd_L2_salinity',
class_name='SalinityTransform',
process_source='SalinityTransform source code here...')
try:
ctd_L2_salinity_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
except Excpetion as ex:
self.fail("failed to create new SalinityTransform data process definition: %s" %ex)
# create a stream definition for the data from the salinity Transform
sal_stream_def_id = self.pubsubclient.create_stream_definition(container=SalinityTransform.outgoing_stream_def, name='Salinity')
self.dataprocessclient.assign_stream_definition_to_data_process_definition(sal_stream_def_id, ctd_L2_salinity_dprocdef_id )
return ctd_L2_salinity_dprocdef_id
def create_salinity_doubler_data_process_definition(self):
#First look to see if it exists and if not, then create it
dpd,_ = self.rrclient.find_resources(restype=RT.DataProcessDefinition, name='salinity_doubler')
if len(dpd) > 0:
return dpd[0]
# Salinity Doubler: Data Process Definition
log.debug("Create data process definition SalinityDoublerTransform")
dpd_obj = IonObject(RT.DataProcessDefinition,
name='salinity_doubler',
description='create a salinity doubler data product',
module='ion.processes.data.transforms.example_double_salinity',
class_name='SalinityDoubler',
process_source='SalinityDoubler source code here...')
try:
salinity_doubler_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
except Exception as ex:
self.fail("failed to create new SalinityDoubler data process definition: %s" %ex)
# create a stream definition for the data from the salinity Transform
salinity_double_stream_def_id = self.pubsubclient.create_stream_definition(container=SalinityDoubler.outgoing_stream_def, name='SalinityDoubler')
self.dataprocessclient.assign_stream_definition_to_data_process_definition(salinity_double_stream_def_id, salinity_doubler_dprocdef_id )
return salinity_doubler_dprocdef_id
def create_transform_process(self, data_process_definition_id, data_process_input_dp_id):
data_process_definition = self.rrclient.read(data_process_definition_id)
# Find the link between the output Stream Definition resource and the Data Process Definition resource
stream_ids,_ = self.rrclient.find_objects(data_process_definition._id, PRED.hasStreamDefinition, RT.StreamDefinition, id_only=True)
if not stream_ids:
raise Inconsistent("The data process definition %s is missing an association to an output stream definition" % data_process_definition._id )
process_output_stream_def_id = stream_ids[0]
#Concatenate the name of the workflow and data process definition for the name of the data product output
data_process_name = data_process_definition.name
# Create the output data product of the transform
transform_dp_obj = IonObject(RT.DataProduct, name=data_process_name,description=data_process_definition.description)
transform_dp_id = self.dataproductclient.create_data_product(transform_dp_obj, process_output_stream_def_id)
self.dataproductclient.activate_data_product_persistence(data_product_id=transform_dp_id)
#last one out of the for loop is the output product id
output_data_product_id = transform_dp_id
# Create the transform data process
log.debug("create data_process and start it")
data_process_id = self.dataprocessclient.create_data_process(data_process_definition._id, [data_process_input_dp_id], {'output':transform_dp_id})
self.dataprocessclient.activate_data_process(data_process_id)
#Find the id of the output data stream
stream_ids, _ = self.rrclient.find_objects(transform_dp_id, PRED.hasStream, None, True)
if not stream_ids:
raise Inconsistent("The data process %s is missing an association to an output stream" % data_process_id )
return data_process_id, output_data_product_id
def create_google_dt_data_process_definition(self):
#First look to see if it exists and if not, then create it
dpd,_ = self.rrclient.find_resources(restype=RT.DataProcessDefinition, name='google_dt_transform')
if len(dpd) > 0:
return dpd[0]
# Data Process Definition
log.debug("Create data process definition GoogleDtTransform")
dpd_obj = IonObject(RT.DataProcessDefinition,
name='google_dt_transform',
description='Convert data streams to Google DataTables',
module='ion.processes.data.transforms.viz.google_dt',
class_name='VizTransformGoogleDT',
process_source='VizTransformGoogleDT source code here...')
try:
procdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
except Exception as ex:
self.fail("failed to create new VizTransformGoogleDT data process definition: %s" %ex)
# create a stream definition for the data from the
stream_def_id = self.pubsubclient.create_stream_definition(container=VizTransformGoogleDT.outgoing_stream_def, name='VizTransformGoogleDT')
self.dataprocessclient.assign_stream_definition_to_data_process_definition(stream_def_id, procdef_id )
return procdef_id
def validate_google_dt_transform_results(self, results):
cc = self.container
assertions = self.assertTrue
# if its just one granule, wrap it up in a list so we can use the following for loop for a couple of cases
if isinstance(results,Granule):
results =[results]
for g in results:
if isinstance(g,Granule):
tx = TaxyTool.load_from_granule(g)
rdt = RecordDictionaryTool.load_from_granule(g)
gdt_data = get_safe(rdt, 'google_dt_components')
# IF this granule does not contains google dt, skip
if gdt_data == None:
continue
gdt = gdt_data[0]
assertions(gdt['viz_product_type'] == 'google_dt' )
assertions(len(gdt['data_description']) >= 0) # Need to come up with a better check
assertions(len(gdt['data_content']) >= 0)
def create_mpl_graphs_data_process_definition(self):
#First look to see if it exists and if not, then create it
dpd,_ = self.rrclient.find_resources(restype=RT.DataProcessDefinition, name='mpl_graphs_transform')
if len(dpd) > 0:
return dpd[0]
#Data Process Definition
log.debug("Create data process definition MatplotlibGraphsTransform")
dpd_obj = IonObject(RT.DataProcessDefinition,
name='mpl_graphs_transform',
description='Convert data streams to Matplotlib graphs',
module='ion.processes.data.transforms.viz.matplotlib_graphs',
class_name='VizTransformMatplotlibGraphs',
process_source='VizTransformMatplotlibGraphs source code here...')
try:
procdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
except Exception as ex:
self.fail("failed to create new VizTransformMatplotlibGraphs data process definition: %s" %ex)
# create a stream definition for the data
stream_def_id = self.pubsubclient.create_stream_definition(container=VizTransformMatplotlibGraphs.outgoing_stream_def, name='VizTransformMatplotlibGraphs')
self.dataprocessclient.assign_stream_definition_to_data_process_definition(stream_def_id, procdef_id )
return procdef_id
def validate_mpl_graphs_transform_results(self, results):
cc = self.container
assertions = self.assertTrue
# if its just one granule, wrap it up in a list so we can use the following for loop for a couple of cases
if isinstance(results,Granule):
results =[results]
for g in results:
if isinstance(g,Granule):
tx = TaxyTool.load_from_granule(g)
rdt = RecordDictionaryTool.load_from_granule(g)
graphs = get_safe(rdt, 'matplotlib_graphs')
if graphs == None:
continue
for graph in graphs[0]:
# At this point only dictionaries containing image data should be passed
# For some reason non dictionary values are filtering through.
if not isinstance(graph, dict):
continue
assertions(graph['viz_product_type'] == 'matplotlib_graphs' )
# check to see if the list (numpy array) contains actual images
assertions(imghdr.what(graph['image_name'], h = graph['image_obj']) == 'png')
def validate_vis_service_google_dt_results(self, results):
assertions = self.assertTrue
assertions(results)
gdt_str = (results.lstrip("google.visualization.Query.setResponse(")).rstrip(")")
assertions(len(gdt_str) > 0)
return
def validate_vis_service_mpl_graphs_results(self, results):
assertions = self.assertTrue
assertions(results)
# check to see if the object passed is a dictionary with a valid image object in it
image_format = results["content_type"].lstrip("image/")
assertions(imghdr.what(results['image_name'], h = base64.decodestring(results['image_obj'])) == image_format)
return
class ProcessDispatcherEEAgentIntTest(ProcessDispatcherServiceIntTest):
"""Run the basic int tests again, with a different environment
"""
def setUp(self):
self.dashi = None
self._start_container()
self.container_client = ContainerAgentClient(node=self.container.node,
name=self.container.name)
self.container = self.container_client._get_container_instance()
app = dict(name="process_dispatcher", processapp=("process_dispatcher",
"ion.services.cei.process_dispatcher_service",
"ProcessDispatcherService"))
self.container.start_app(app, config=pd_config)
self.rr_cli = self.container.resource_registry
self.pd_cli = ProcessDispatcherServiceClient(node=self.container.node)
self.process_definition = ProcessDefinition(name='test_process')
self.process_definition.executable = {'module': 'ion.services.cei.test.test_process_dispatcher',
'class': 'TestProcess'}
self.process_definition_id = self.pd_cli.create_process_definition(self.process_definition)
self._eea_pids = []
self._tmpdirs = []
self.dashi = get_dashi(uuid.uuid4().hex,
pd_config['processdispatcher']['dashi_uri'],
pd_config['processdispatcher']['dashi_exchange'])
#send a fake node_state message to PD's dashi binding.
self.node1_id = uuid.uuid4().hex
self._send_node_state("engine1", self.node1_id)
self._start_eeagent(self.node1_id)
self.waiter = ProcessStateWaiter()
def _send_node_state(self, engine_id, node_id=None):
node_id = node_id or uuid.uuid4().hex
node_state = dict(node_id=node_id, state=InstanceState.RUNNING,
domain_id=domain_id_from_engine(engine_id))
self.dashi.fire(get_pd_dashi_name(), "node_state", args=node_state)
def _start_eeagent(self, node_id):
persistence_dir = tempfile.mkdtemp()
self._tmpdirs.append(persistence_dir)
agent_config = _get_eeagent_config(node_id, persistence_dir)
pid = self.container_client.spawn_process(name="eeagent",
module="ion.agents.cei.execution_engine_agent",
cls="ExecutionEngineAgent", config=agent_config)
log.info('Agent pid=%s.', str(pid))
self._eea_pids.append(pid)
def tearDown(self):
for pid in self._eea_pids:
self.container.terminate_process(pid)
for d in self._tmpdirs:
shutil.rmtree(d)
self.waiter.stop()
if self.dashi:
self.dashi.cancel()
def test_requested_ee(self):
# request non-default engine
process_target = ProcessTarget(execution_engine_id="engine2")
process_schedule = ProcessSchedule()
process_schedule.queueing_mode = ProcessQueueingMode.ALWAYS
process_schedule.target = process_target
pid = self.pd_cli.create_process(self.process_definition_id)
self.waiter.start()
self.pd_cli.schedule_process(self.process_definition_id,
process_schedule, process_id=pid)
self.waiter.await_state_event(pid, ProcessStateEnum.WAITING)
# request unknown engine, with NEVER queuing mode. The request
# should be rejected.
# verifies L4-CI-CEI-RQ52
process_target = ProcessTarget(execution_engine_id="not-a-real-ee")
process_schedule = ProcessSchedule()
process_schedule.queueing_mode = ProcessQueueingMode.NEVER
process_schedule.target = process_target
rejected_pid = self.pd_cli.create_process(self.process_definition_id)
self.pd_cli.schedule_process(self.process_definition_id,
process_schedule, process_id=rejected_pid)
self.waiter.await_state_event(rejected_pid, ProcessStateEnum.REJECTED)
# now add a node and eeagent for engine2. original process should leave
# queue and start running
node2_id = uuid.uuid4().hex
self._send_node_state("engine2", node2_id)
self._start_eeagent(node2_id)
self.waiter.await_state_event(pid, ProcessStateEnum.RUNNING)
# spawn another process. it should start immediately.
process_target = ProcessTarget(execution_engine_id="engine2")
process_schedule = ProcessSchedule()
process_schedule.queueing_mode = ProcessQueueingMode.NEVER
process_schedule.target = process_target
pid2 = self.pd_cli.create_process(self.process_definition_id)
self.pd_cli.schedule_process(self.process_definition_id,
process_schedule, process_id=pid2)
self.waiter.await_state_event(pid2, ProcessStateEnum.RUNNING)
# one more with node exclusive
process_target = ProcessTarget(execution_engine_id="engine2",
node_exclusive="hats")
process_schedule = ProcessSchedule()
process_schedule.queueing_mode = ProcessQueueingMode.NEVER
process_schedule.target = process_target
pid3 = self.pd_cli.create_process(self.process_definition_id)
self.pd_cli.schedule_process(self.process_definition_id,
process_schedule, process_id=pid3)
self.waiter.await_state_event(pid3, ProcessStateEnum.RUNNING)
# kill the processes for good
self.pd_cli.cancel_process(pid)
self.waiter.await_state_event(pid, ProcessStateEnum.TERMINATED)
self.pd_cli.cancel_process(pid2)
self.waiter.await_state_event(pid2, ProcessStateEnum.TERMINATED)
self.pd_cli.cancel_process(pid3)
self.waiter.await_state_event(pid3, ProcessStateEnum.TERMINATED)
def test_node_exclusive(self):
# the node_exclusive constraint is used to ensure multiple processes
# of the same "kind" each get a VM exclusive of each other. Other
# processes may run on these VMs, just not processes with the same
# node_exclusive tag. Since we cannot directly query the contents
# of each node in this test, we prove the capability by scheduling
# processes one by one and checking their state.
# verifies L4-CI-CEI-RQ121
# verifies L4-CI-CEI-RQ57
# first off, setUp() created a single node and eeagent.
# We schedule two processes with the same "abc" node_exclusive
# tag. Since there is only one node, the first process should run
# and the second should be queued.
process_target = ProcessTarget(execution_engine_id="engine1")
process_target.node_exclusive = "abc"
process_schedule = ProcessSchedule()
process_schedule.queueing_mode = ProcessQueueingMode.ALWAYS
process_schedule.target = process_target
pid1 = self.pd_cli.create_process(self.process_definition_id)
self.waiter.start()
self.pd_cli.schedule_process(self.process_definition_id,
process_schedule, process_id=pid1)
self.waiter.await_state_event(pid1, ProcessStateEnum.RUNNING)
pid2 = self.pd_cli.create_process(self.process_definition_id)
self.pd_cli.schedule_process(self.process_definition_id,
process_schedule, process_id=pid2)
self.waiter.await_state_event(pid2, ProcessStateEnum.WAITING)
# now demonstrate that the node itself is not full by launching
# a third process without a node_exclusive tag -- it should start
# immediately
process_target.node_exclusive = None
pid3 = self.pd_cli.create_process(self.process_definition_id)
self.pd_cli.schedule_process(self.process_definition_id,
process_schedule, process_id=pid3)
self.waiter.await_state_event(pid3, ProcessStateEnum.RUNNING)
# finally, add a second node to the engine. pid2 should be started
# since there is an exclusive "abc" node free.
node2_id = uuid.uuid4().hex
self._send_node_state("engine1", node2_id)
self._start_eeagent(node2_id)
self.waiter.await_state_event(pid2, ProcessStateEnum.RUNNING)
# kill the processes for good
self.pd_cli.cancel_process(pid1)
self.waiter.await_state_event(pid1, ProcessStateEnum.TERMINATED)
self.pd_cli.cancel_process(pid2)
self.waiter.await_state_event(pid2, ProcessStateEnum.TERMINATED)
self.pd_cli.cancel_process(pid3)
self.waiter.await_state_event(pid3, ProcessStateEnum.TERMINATED)
def test_code_download(self):
# create a process definition that has no URL; only module and class.
process_definition_no_url = ProcessDefinition(name='test_process_nodownload')
process_definition_no_url.executable = {'module': 'ion.my.test.process',
'class': 'TestProcess'}
process_definition_id_no_url = self.pd_cli.create_process_definition(process_definition_no_url)
# create another that has a URL of the python file (this very file)
# verifies L4-CI-CEI-RQ114
url = "file://%s" % os.path.join(os.path.dirname(__file__), 'test_process_dispatcher.py')
process_definition = ProcessDefinition(name='test_process_download')
process_definition.executable = {'module': 'ion.my.test.process',
'class': 'TestProcess', 'url': url}
process_definition_id = self.pd_cli.create_process_definition(process_definition)
process_target = ProcessTarget()
process_schedule = ProcessSchedule()
process_schedule.queueing_mode = ProcessQueueingMode.ALWAYS
process_schedule.target = process_target
self.waiter.start()
# Test a module with no download fails
pid_no_url = self.pd_cli.create_process(process_definition_id_no_url)
self.pd_cli.schedule_process(process_definition_id_no_url,
process_schedule, process_id=pid_no_url)
self.waiter.await_state_event(pid_no_url, ProcessStateEnum.FAILED)
# Test a module with a URL runs
pid = self.pd_cli.create_process(process_definition_id)
self.pd_cli.schedule_process(process_definition_id,
process_schedule, process_id=pid)
self.waiter.await_state_event(pid, ProcessStateEnum.RUNNING)
class TestCTDTransformsNoSim(IonIntegrationTestCase):
def setUp(self):
# Start container
#print 'instantiating container'
self._start_container()
#container = Container()
#print 'starting container'
#container.start()
#print 'started container'
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
# Now create client to DataProductManagementService
self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
self.damsclient = DataAcquisitionManagementServiceClient(node=self.container.node)
self.pubsubclient = PubsubManagementServiceClient(node=self.container.node)
self.ingestclient = IngestionManagementServiceClient(node=self.container.node)
self.imsclient = InstrumentManagementServiceClient(node=self.container.node)
self.dataproductclient = DataProductManagementServiceClient(node=self.container.node)
self.dataprocessclient = DataProcessManagementServiceClient(node=self.container.node)
self.datasetclient = DatasetManagementServiceClient(node=self.container.node)
self.processdispatchclient = ProcessDispatcherServiceClient(node=self.container.node)
def create_logger(self, name, stream_id=''):
# logger process
producer_definition = ProcessDefinition(name=name+'_logger')
producer_definition.executable = {
'module':'ion.processes.data.stream_granule_logger',
'class':'StreamGranuleLogger'
}
logger_procdef_id = self.processdispatchclient.create_process_definition(process_definition=producer_definition)
configuration = {
'process':{
'stream_id':stream_id,
}
}
pid = self.processdispatchclient.schedule_process(process_definition_id= logger_procdef_id, configuration=configuration)
return pid
@unittest.skip('test not working')
def test_createTransformsThenPublishGranules(self):
# ctd simulator process
producer_definition = ProcessDefinition(name='Example Data Producer')
producer_definition.executable = {
'module':'ion.services.sa.test.simple_ctd_data_producer',
'class':'SimpleCtdDataProducer'
}
producer_procdef_id = self.processdispatchclient.create_process_definition(process_definition=producer_definition)
#-------------------------------
# Create CTD Parsed as the first data product
#-------------------------------
# create a stream definition for the data from the ctd simulator
ctd_stream_def = SBE37_CDM_stream_definition()
ctd_stream_def_id = self.pubsubclient.create_stream_definition(container=ctd_stream_def)
print 'test_createTransformsThenActivateInstrument: new Stream Definition id = ', ctd_stream_def_id
print 'Creating new CDM data product with a stream definition'
craft = CoverageCraft
sdom, tdom = craft.create_domains()
sdom = sdom.dump()
tdom = tdom.dump()
parameter_dictionary = craft.create_parameters()
parameter_dictionary = parameter_dictionary.dump()
dp_obj = IonObject(RT.DataProduct,
name='ctd_parsed',
description='ctd stream test',
temporal_domain = tdom,
spatial_domain = sdom)
ctd_parsed_data_product = self.dataproductclient.create_data_product(dp_obj, ctd_stream_def_id, parameter_dictionary)
print 'new ctd_parsed_data_product_id = ', ctd_parsed_data_product
#self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=ctd_parsed_data_product)
#self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_parsed_data_product))
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(ctd_parsed_data_product, PRED.hasStream, None, True)
print 'test_createTransformsThenActivateInstrument: Data product streams1 = ', stream_ids
self.parsed_stream_id = stream_ids[0]
#-------------------------------
# Create CTD Raw as the second data product
#-------------------------------
print 'test_createTransformsThenActivateInstrument: Creating new RAW data product with a stream definition'
raw_stream_def = SBE37_RAW_stream_definition()
raw_stream_def_id = self.pubsubclient.create_stream_definition(container=raw_stream_def)
dp_obj = IonObject(RT.DataProduct,
name='ctd_raw',
description='raw stream test',
temporal_domain = tdom,
spatial_domain = sdom)
ctd_raw_data_product = self.dataproductclient.create_data_product(dp_obj, raw_stream_def_id, parameter_dictionary)
print 'new ctd_raw_data_product_id = ', ctd_raw_data_product
#self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=ctd_raw_data_product)
self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_raw_data_product)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(ctd_raw_data_product, PRED.hasStream, None, True)
print 'Data product streams2 = ', stream_ids
#-------------------------------
# L0 Conductivity - Temperature - Pressure: Data Process Definition
#-------------------------------
log.debug("TestIntDataProcessMgmtServiceMultiOut: create data process definition ctd_L0_all")
dpd_obj = IonObject(RT.DataProcessDefinition,
name='ctd_L0_all',
description='transform ctd package into three separate L0 streams',
module='ion.processes.data.transforms.ctd.ctd_L0_all',
class_name='ctd_L0_all',
process_source='some_source_reference')
try:
ctd_L0_all_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
except BadRequest as ex:
self.fail("failed to create new ctd_L0_all data process definition: %s" %ex)
#-------------------------------
# L1 Conductivity: Data Process Definition
#-------------------------------
log.debug("TestIntDataProcessMgmtServiceMultiOut: create data process definition CTDL1ConductivityTransform")
dpd_obj = IonObject(RT.DataProcessDefinition,
name='ctd_L1_conductivity',
description='create the L1 conductivity data product',
module='ion.processes.data.transforms.ctd.ctd_L1_conductivity',
class_name='CTDL1ConductivityTransform',
process_source='CTDL1ConductivityTransform source code here...')
try:
ctd_L1_conductivity_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
except BadRequest as ex:
self.fail("failed to create new CTDL1ConductivityTransform data process definition: %s" %ex)
#-------------------------------
# L1 Pressure: Data Process Definition
#-------------------------------
log.debug("TestIntDataProcessMgmtServiceMultiOut: create data process definition CTDL1PressureTransform")
dpd_obj = IonObject(RT.DataProcessDefinition,
name='ctd_L1_pressure',
description='create the L1 pressure data product',
module='ion.processes.data.transforms.ctd.ctd_L1_pressure',
class_name='CTDL1PressureTransform',
process_source='CTDL1PressureTransform source code here...')
try:
ctd_L1_pressure_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
except BadRequest as ex:
self.fail("failed to create new CTDL1PressureTransform data process definition: %s" %ex)
#-------------------------------
# L1 Temperature: Data Process Definition
#-------------------------------
log.debug("TestIntDataProcessMgmtServiceMultiOut: create data process definition CTDL1TemperatureTransform")
dpd_obj = IonObject(RT.DataProcessDefinition,
name='ctd_L1_temperature',
description='create the L1 temperature data product',
module='ion.processes.data.transforms.ctd.ctd_L1_temperature',
class_name='CTDL1TemperatureTransform',
process_source='CTDL1TemperatureTransform source code here...')
try:
ctd_L1_temperature_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
except BadRequest as ex:
self.fail("failed to create new CTDL1TemperatureTransform data process definition: %s" %ex)
#-------------------------------
# L2 Salinity: Data Process Definition
#-------------------------------
log.debug("TestIntDataProcessMgmtServiceMultiOut: create data process definition SalinityTransform")
dpd_obj = IonObject(RT.DataProcessDefinition,
name='ctd_L2_salinity',
description='create the L1 temperature data product',
module='ion.processes.data.transforms.ctd.ctd_L2_salinity',
class_name='SalinityTransform',
process_source='SalinityTransform source code here...')
try:
ctd_L2_salinity_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
except BadRequest as ex:
self.fail("failed to create new SalinityTransform data process definition: %s" %ex)
#-------------------------------
# L2 Density: Data Process Definition
#-------------------------------
log.debug("TestIntDataProcessMgmtServiceMultiOut: create data process definition DensityTransform")
dpd_obj = IonObject(RT.DataProcessDefinition,
name='ctd_L2_density',
description='create the L1 temperature data product',
module='ion.processes.data.transforms.ctd.ctd_L2_density',
class_name='DensityTransform',
process_source='DensityTransform source code here...')
try:
ctd_L2_density_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
except BadRequest as ex:
self.fail("failed to create new DensityTransform data process definition: %s" %ex)
self.loggerpids = []
#-------------------------------
# L0 Conductivity - Temperature - Pressure: Output Data Products
#-------------------------------
outgoing_stream_l0_conductivity = L0_conductivity_stream_definition()
outgoing_stream_l0_conductivity_id = self.pubsubclient.create_stream_definition(container=outgoing_stream_l0_conductivity, name='L0_Conductivity')
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_conductivity_id, ctd_L0_all_dprocdef_id )
outgoing_stream_l0_pressure = L0_pressure_stream_definition()
outgoing_stream_l0_pressure_id = self.pubsubclient.create_stream_definition(container=outgoing_stream_l0_pressure, name='L0_Pressure')
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_pressure_id, ctd_L0_all_dprocdef_id )
outgoing_stream_l0_temperature = L0_temperature_stream_definition()
outgoing_stream_l0_temperature_id = self.pubsubclient.create_stream_definition(container=outgoing_stream_l0_temperature, name='L0_Temperature')
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_temperature_id, ctd_L0_all_dprocdef_id )
self.output_products={}
log.debug("test_createTransformsThenActivateInstrument: create output data product L0 conductivity")
ctd_l0_conductivity_output_dp_obj = IonObject(RT.DataProduct,
name='L0_Conductivity',
description='transform output conductivity',
temporal_domain = tdom,
spatial_domain = sdom)
ctd_l0_conductivity_output_dp_id = self.dataproductclient.create_data_product(ctd_l0_conductivity_output_dp_obj,
outgoing_stream_l0_conductivity_id,
parameter_dictionary)
self.output_products['conductivity'] = ctd_l0_conductivity_output_dp_id
self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_l0_conductivity_output_dp_id)
log.debug("test_createTransformsThenActivateInstrument: create output data product L0 pressure")
ctd_l0_pressure_output_dp_obj = IonObject(RT.DataProduct,
name='L0_Pressure',
description='transform output pressure',
temporal_domain = tdom,
spatial_domain = sdom)
ctd_l0_pressure_output_dp_id = self.dataproductclient.create_data_product(ctd_l0_pressure_output_dp_obj, outgoing_stream_l0_pressure_id, parameter_dictionary)
self.output_products['pressure'] = ctd_l0_pressure_output_dp_id
self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_l0_pressure_output_dp_id)
log.debug("test_createTransformsThenActivateInstrument: create output data product L0 temperature")
ctd_l0_temperature_output_dp_obj = IonObject(RT.DataProduct,
name='L0_Temperature',
description='transform output temperature',
temporal_domain = tdom,
spatial_domain = sdom)
ctd_l0_temperature_output_dp_id = self.dataproductclient.create_data_product(ctd_l0_temperature_output_dp_obj, outgoing_stream_l0_temperature_id, parameter_dictionary)
self.output_products['temperature'] = ctd_l0_temperature_output_dp_id
self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_l0_temperature_output_dp_id)
#-------------------------------
# L1 Conductivity - Temperature - Pressure: Output Data Products
#-------------------------------
outgoing_stream_l1_conductivity = L1_conductivity_stream_definition()
outgoing_stream_l1_conductivity_id = self.pubsubclient.create_stream_definition(container=outgoing_stream_l1_conductivity, name='L1_conductivity')
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l1_conductivity_id, ctd_L1_conductivity_dprocdef_id )
outgoing_stream_l1_pressure = L1_pressure_stream_definition()
outgoing_stream_l1_pressure_id = self.pubsubclient.create_stream_definition(container=outgoing_stream_l1_pressure, name='L1_Pressure')
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l1_pressure_id, ctd_L1_pressure_dprocdef_id )
outgoing_stream_l1_temperature = L1_temperature_stream_definition()
outgoing_stream_l1_temperature_id = self.pubsubclient.create_stream_definition(container=outgoing_stream_l1_temperature, name='L1_Temperature')
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l1_temperature_id, ctd_L1_temperature_dprocdef_id )
log.debug("test_createTransformsThenActivateInstrument: create output data product L1 conductivity")
ctd_l1_conductivity_output_dp_obj = IonObject(RT.DataProduct,
name='L1_Conductivity',
description='transform output L1 conductivity',
temporal_domain = tdom,
spatial_domain = sdom)
ctd_l1_conductivity_output_dp_id = self.dataproductclient.create_data_product(ctd_l1_conductivity_output_dp_obj, outgoing_stream_l1_conductivity_id, parameter_dictionary)
self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_l1_conductivity_output_dp_id)
stream_ids, _ = self.rrclient.find_objects(ctd_l1_conductivity_output_dp_id, PRED.hasStream, None, True)
log.debug(" ctd_l1_conductivity stream id = %s", str(stream_ids) )
pid = self.create_logger(' ctd_l1_conductivity', stream_ids[0] )
self.loggerpids.append(pid)
log.debug("test_createTransformsThenActivateInstrument: create output data product L1 pressure")
ctd_l1_pressure_output_dp_obj = IonObject(RT.DataProduct,
name='L1_Pressure',
description='transform output L1 pressure',
temporal_domain = tdom,
spatial_domain = sdom)
ctd_l1_pressure_output_dp_id = self.dataproductclient.create_data_product(ctd_l1_pressure_output_dp_obj, outgoing_stream_l1_pressure_id, parameter_dictionary)
self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_l1_pressure_output_dp_id)
stream_ids, _ = self.rrclient.find_objects(ctd_l1_pressure_output_dp_id, PRED.hasStream, None, True)
log.debug(" ctd_l1_pressure stream id = %s", str(stream_ids) )
pid = self.create_logger(' ctd_l1_pressure', stream_ids[0] )
self.loggerpids.append(pid)
log.debug("test_createTransformsThenActivateInstrument: create output data product L1 temperature")
ctd_l1_temperature_output_dp_obj = IonObject(RT.DataProduct,
name='L1_Temperature',
description='transform output L1 temperature',
temporal_domain = tdom,
spatial_domain = sdom)
ctd_l1_temperature_output_dp_id = self.dataproductclient.create_data_product(ctd_l1_temperature_output_dp_obj, outgoing_stream_l1_temperature_id, parameter_dictionary)
self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_l1_temperature_output_dp_id)
stream_ids, _ = self.rrclient.find_objects(ctd_l1_temperature_output_dp_id, PRED.hasStream, None, True)
log.debug(" ctd_l1_temperature stream id = %s", str(stream_ids) )
pid = self.create_logger(' ctd_l1_temperature', stream_ids[0] )
self.loggerpids.append(pid)
#-------------------------------
# L2 Salinity - Density: Output Data Products
#-------------------------------
outgoing_stream_l2_salinity = L2_practical_salinity_stream_definition()
outgoing_stream_l2_salinity_id = self.pubsubclient.create_stream_definition(container=outgoing_stream_l2_salinity, name='L2_salinity')
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l2_salinity_id, ctd_L2_salinity_dprocdef_id )
outgoing_stream_l2_density = L2_density_stream_definition()
outgoing_stream_l2_density_id = self.pubsubclient.create_stream_definition(container=outgoing_stream_l2_density, name='L2_Density')
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l2_density_id, ctd_L2_density_dprocdef_id )
log.debug("test_createTransformsThenActivateInstrument: create output data product L2 Salinity")
ctd_l2_salinity_output_dp_obj = IonObject(RT.DataProduct,
name='L2_Salinity',
description='transform output L2 salinity',
temporal_domain = tdom,
spatial_domain = sdom)
ctd_l2_salinity_output_dp_id = self.dataproductclient.create_data_product(ctd_l2_salinity_output_dp_obj, outgoing_stream_l2_salinity_id, parameter_dictionary)
self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_l2_salinity_output_dp_id)
log.debug("test_createTransformsThenActivateInstrument: create output data product L2 Density")
ctd_l2_density_output_dp_obj = IonObject(RT.DataProduct,
name='L2_Density',
description='transform output pressure',
temporal_domain = tdom,
spatial_domain = sdom)
ctd_l2_density_output_dp_id = self.dataproductclient.create_data_product(ctd_l2_density_output_dp_obj, outgoing_stream_l2_density_id, parameter_dictionary)
self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_l2_density_output_dp_id)
# Set up subscribers/loggers to these streams
stream_ids, _ = self.rrclient.find_objects(ctd_l2_salinity_output_dp_id, PRED.hasStream, None, True)
log.debug("L2 salinity stream id = %s", str(stream_ids) )
pid = self.create_logger('L2_salinity', stream_ids[0] )
self.loggerpids.append(pid)
stream_ids, _ = self.rrclient.find_objects(ctd_l2_density_output_dp_id, PRED.hasStream, None, True)
log.debug("L2 density stream id = %s", str(stream_ids) )
pid = self.create_logger('L2_density', stream_ids[0] )
self.loggerpids.append(pid)
#-------------------------------
# L0 Conductivity - Temperature - Pressure: Create the data process
#-------------------------------
log.debug("test_createTransformsThenActivateInstrument: create L0 all data_process start")
try:
ctd_l0_all_data_process_id = self.dataprocessclient.create_data_process(ctd_L0_all_dprocdef_id, [ctd_parsed_data_product], self.output_products)
self.dataprocessclient.activate_data_process(ctd_l0_all_data_process_id)
except BadRequest as ex:
self.fail("failed to create new data process: %s" %ex)
log.debug("test_createTransformsThenActivateInstrument: create L0 all data_process return")
#-------------------------------
# L1 Conductivity: Create the data process
#-------------------------------
log.debug("test_createTransformsThenActivateInstrument: create L1 Conductivity data_process start")
try:
l1_conductivity_data_process_id = self.dataprocessclient.create_data_process(ctd_L1_conductivity_dprocdef_id, [ctd_l0_conductivity_output_dp_id], {'output':ctd_l1_conductivity_output_dp_id})
self.dataprocessclient.activate_data_process(l1_conductivity_data_process_id)
except BadRequest as ex:
self.fail("failed to create new data process: %s" %ex)
log.debug("test_createTransformsThenActivateInstrument: create L1 Conductivity data_process return")
#-------------------------------
# L1 Pressure: Create the data process
#-------------------------------
log.debug("test_createTransformsThenActivateInstrument: create L1_Pressure data_process start")
try:
l1_pressure_data_process_id = self.dataprocessclient.create_data_process(ctd_L1_pressure_dprocdef_id, [ctd_l0_pressure_output_dp_id], {'output':ctd_l1_pressure_output_dp_id})
self.dataprocessclient.activate_data_process(l1_pressure_data_process_id)
except BadRequest as ex:
self.fail("failed to create new data process: %s" %ex)
log.debug("test_createTransformsThenActivateInstrument: create L1_Pressure data_process return")
#-------------------------------
# L1 Temperature: Create the data process
#-------------------------------
log.debug("test_createTransformsThenActivateInstrument: create L1_Pressure data_process start")
try:
l1_temperature_all_data_process_id = self.dataprocessclient.create_data_process(ctd_L1_temperature_dprocdef_id, [ctd_l0_temperature_output_dp_id], {'output':ctd_l1_temperature_output_dp_id})
self.dataprocessclient.activate_data_process(l1_temperature_all_data_process_id)
except BadRequest as ex:
self.fail("failed to create new data process: %s" %ex)
log.debug("test_createTransformsThenActivateInstrument: create L1_Pressure data_process return")
#-------------------------------
# L2 Salinity: Create the data process
#-------------------------------
log.debug("test_createTransformsThenActivateInstrument: create L2_salinity data_process start")
try:
l2_salinity_all_data_process_id = self.dataprocessclient.create_data_process(ctd_L2_salinity_dprocdef_id, [ctd_parsed_data_product], {'output':ctd_l2_salinity_output_dp_id})
self.dataprocessclient.activate_data_process(l2_salinity_all_data_process_id)
except BadRequest as ex:
self.fail("failed to create new data process: %s" %ex)
log.debug("test_createTransformsThenActivateInstrument: create L2_salinity data_process return")
#-------------------------------
# L2 Density: Create the data process
#-------------------------------
log.debug("test_createTransformsThenActivateInstrument: create L2_Density data_process start")
try:
l2_density_all_data_process_id = self.dataprocessclient.create_data_process(ctd_L2_density_dprocdef_id, [ctd_parsed_data_product], {'output':ctd_l2_density_output_dp_id})
self.dataprocessclient.activate_data_process(l2_density_all_data_process_id)
except BadRequest as ex:
self.fail("failed to create new data process: %s" %ex)
log.debug("test_createTransformsThenActivateInstrument: create L2_Density data_process return")
#-------------------------------
# Streaming
#-------------------------------
# Start the ctd simulator to produce some data
configuration = {
'process':{
'stream_id':self.parsed_stream_id,
}
}
producer_pid = self.processdispatchclient.schedule_process(process_definition_id= producer_procdef_id, configuration=configuration)
time.sleep(2.0)
# clean up the launched processes
self.processdispatchclient.cancel_process(producer_pid)
for pid in self.loggerpids:
self.processdispatchclient.cancel_process(pid)
class TestActivateInstrumentIntegration(IonIntegrationTestCase):
def setUp(self):
# Start container
self._start_container()
self.container.start_rel_from_url("res/deploy/r2deploy.yml")
# Now create client to DataProductManagementService
self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
self.damsclient = DataAcquisitionManagementServiceClient(node=self.container.node)
self.pubsubcli = PubsubManagementServiceClient(node=self.container.node)
self.imsclient = InstrumentManagementServiceClient(node=self.container.node)
self.dpclient = DataProductManagementServiceClient(node=self.container.node)
self.datasetclient = DatasetManagementServiceClient(node=self.container.node)
self.processdispatchclient = ProcessDispatcherServiceClient(node=self.container.node)
self.dataprocessclient = DataProcessManagementServiceClient(node=self.container.node)
self.dataproductclient = DataProductManagementServiceClient(node=self.container.node)
# setup listerner vars
self._data_greenlets = []
self._no_samples = None
self._samples_received = []
def create_logger(self, name, stream_id=""):
# logger process
producer_definition = ProcessDefinition(name=name + "_logger")
producer_definition.executable = {
"module": "ion.processes.data.stream_granule_logger",
"class": "StreamGranuleLogger",
}
logger_procdef_id = self.processdispatchclient.create_process_definition(process_definition=producer_definition)
configuration = {"process": {"stream_id": stream_id}}
pid = self.processdispatchclient.schedule_process(
process_definition_id=logger_procdef_id, configuration=configuration
)
return pid
@unittest.skip("TBD")
def test_activateInstrumentSample(self):
self.loggerpids = []
# Create InstrumentModel
instModel_obj = IonObject(
RT.InstrumentModel, name="SBE37IMModel", description="SBE37IMModel", model="SBE37IMModel"
)
try:
instModel_id = self.imsclient.create_instrument_model(instModel_obj)
except BadRequest as ex:
self.fail("failed to create new InstrumentModel: %s" % ex)
log.debug("new InstrumentModel id = %s ", instModel_id)
# Create InstrumentAgent
instAgent_obj = IonObject(
RT.InstrumentAgent,
name="agent007",
description="SBE37IMAgent",
driver_module="ion.agents.instrument.instrument_agent",
driver_class="InstrumentAgent",
)
try:
instAgent_id = self.imsclient.create_instrument_agent(instAgent_obj)
except BadRequest as ex:
self.fail("failed to create new InstrumentAgent: %s" % ex)
log.debug("new InstrumentAgent id = %s", instAgent_id)
self.imsclient.assign_instrument_model_to_instrument_agent(instModel_id, instAgent_id)
# Create InstrumentDevice
log.debug(
"test_activateInstrumentSample: Create instrument resource to represent the SBE37 (SA Req: L4-CI-SA-RQ-241) "
)
instDevice_obj = IonObject(
RT.InstrumentDevice, name="SBE37IMDevice", description="SBE37IMDevice", serial_number="12345"
)
try:
instDevice_id = self.imsclient.create_instrument_device(instrument_device=instDevice_obj)
self.imsclient.assign_instrument_model_to_instrument_device(instModel_id, instDevice_id)
except BadRequest as ex:
self.fail("failed to create new InstrumentDevice: %s" % ex)
log.debug(
"test_activateInstrumentSample: new InstrumentDevice id = %s (SA Req: L4-CI-SA-RQ-241) ", instDevice_id
)
instAgentInstance_obj = IonObject(
RT.InstrumentAgentInstance,
name="SBE37IMAgentInstance",
description="SBE37IMAgentInstance",
driver_module="mi.instrument.seabird.sbe37smb.ooicore.driver",
driver_class="SBE37Driver",
comms_device_address="sbe37-simulator.oceanobservatories.org",
comms_device_port=4001,
port_agent_work_dir="/tmp/",
port_agent_delimeter=["<<", ">>"],
)
instAgentInstance_id = self.imsclient.create_instrument_agent_instance(
instAgentInstance_obj, instAgent_id, instDevice_id
)
# create a stream definition for the data from the ctd simulator
ctd_stream_def = SBE37_CDM_stream_definition()
ctd_stream_def_id = self.pubsubcli.create_stream_definition(container=ctd_stream_def)
log.debug("new Stream Definition id = %s", instDevice_id)
log.debug("Creating new CDM data product with a stream definition")
craft = CoverageCraft
sdom, tdom = craft.create_domains()
sdom = sdom.dump()
tdom = tdom.dump()
parameter_dictionary = craft.create_parameters()
parameter_dictionary = parameter_dictionary.dump()
dp_obj = IonObject(
RT.DataProduct,
name="the parsed data",
description="ctd stream test",
temporal_domain=tdom,
spatial_domain=sdom,
)
data_product_id1 = self.dpclient.create_data_product(dp_obj, ctd_stream_def_id, parameter_dictionary)
log.debug("new dp_id = %s", data_product_id1)
self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=data_product_id1)
self.dpclient.activate_data_product_persistence(data_product_id=data_product_id1)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(data_product_id1, PRED.hasStream, None, True)
log.debug("Data product streams1 = %s", stream_ids)
pid = self.create_logger("ctd_parsed", stream_ids[0])
self.loggerpids.append(pid)
# -------------------------------
# L0 Conductivity - Temperature - Pressure: Data Process Definition
# -------------------------------
log.debug("test_activateInstrumentSample: create data process definition ctd_L0_all")
dpd_obj = IonObject(
RT.DataProcessDefinition,
name="ctd_L0_all",
description="transform ctd package into three separate L0 streams",
module="ion.processes.data.transforms.ctd.ctd_L0_all",
class_name="ctd_L0_all",
process_source="some_source_reference",
)
try:
ctd_L0_all_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
except BadRequest as ex:
self.fail("failed to create new ctd_L0_all data process definition: %s" % ex)
# -------------------------------
# L0 Conductivity - Temperature - Pressure: Output Data Products
# -------------------------------
outgoing_stream_l0_conductivity = L0_conductivity_stream_definition()
outgoing_stream_l0_conductivity_id = self.pubsubcli.create_stream_definition(
container=outgoing_stream_l0_conductivity, name="L0_Conductivity"
)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
outgoing_stream_l0_conductivity_id, ctd_L0_all_dprocdef_id
)
outgoing_stream_l0_pressure = L0_pressure_stream_definition()
outgoing_stream_l0_pressure_id = self.pubsubcli.create_stream_definition(
container=outgoing_stream_l0_pressure, name="L0_Pressure"
)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
outgoing_stream_l0_pressure_id, ctd_L0_all_dprocdef_id
)
outgoing_stream_l0_temperature = L0_temperature_stream_definition()
outgoing_stream_l0_temperature_id = self.pubsubcli.create_stream_definition(
container=outgoing_stream_l0_temperature, name="L0_Temperature"
)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
outgoing_stream_l0_temperature_id, ctd_L0_all_dprocdef_id
)
self.output_products = {}
log.debug("test_createTransformsThenActivateInstrument: create output data product L0 conductivity")
ctd_l0_conductivity_output_dp_obj = IonObject(
RT.DataProduct,
name="L0_Conductivity",
description="transform output conductivity",
temporal_domain=tdom,
spatial_domain=sdom,
)
ctd_l0_conductivity_output_dp_id = self.dataproductclient.create_data_product(
ctd_l0_conductivity_output_dp_obj, outgoing_stream_l0_conductivity_id, parameter_dictionary
)
self.output_products["conductivity"] = ctd_l0_conductivity_output_dp_id
self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_l0_conductivity_output_dp_id)
stream_ids, _ = self.rrclient.find_objects(ctd_l0_conductivity_output_dp_id, PRED.hasStream, None, True)
log.debug(" ctd_l0_conductivity stream id = %s", str(stream_ids))
pid = self.create_logger(" ctd_l1_conductivity", stream_ids[0])
self.loggerpids.append(pid)
log.debug("test_createTransformsThenActivateInstrument: create output data product L0 pressure")
ctd_l0_pressure_output_dp_obj = IonObject(
RT.DataProduct,
name="L0_Pressure",
description="transform output pressure",
temporal_domain=tdom,
spatial_domain=sdom,
)
ctd_l0_pressure_output_dp_id = self.dataproductclient.create_data_product(
ctd_l0_pressure_output_dp_obj, outgoing_stream_l0_pressure_id, parameter_dictionary
)
self.output_products["pressure"] = ctd_l0_pressure_output_dp_id
self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_l0_pressure_output_dp_id)
stream_ids, _ = self.rrclient.find_objects(ctd_l0_pressure_output_dp_id, PRED.hasStream, None, True)
log.debug(" ctd_l0_pressure stream id = %s", str(stream_ids))
pid = self.create_logger(" ctd_l0_pressure", stream_ids[0])
self.loggerpids.append(pid)
log.debug("test_createTransformsThenActivateInstrument: create output data product L0 temperature")
ctd_l0_temperature_output_dp_obj = IonObject(
RT.DataProduct,
name="L0_Temperature",
description="transform output temperature",
temporal_domain=tdom,
spatial_domain=sdom,
)
ctd_l0_temperature_output_dp_id = self.dataproductclient.create_data_product(
ctd_l0_temperature_output_dp_obj, outgoing_stream_l0_temperature_id, parameter_dictionary
)
self.output_products["temperature"] = ctd_l0_temperature_output_dp_id
self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_l0_temperature_output_dp_id)
stream_ids, _ = self.rrclient.find_objects(ctd_l0_temperature_output_dp_id, PRED.hasStream, None, True)
log.debug(" ctd_l0_temperature stream id = %s", str(stream_ids))
pid = self.create_logger(" ctd_l0_temperature", stream_ids[0])
self.loggerpids.append(pid)
# -------------------------------
# L0 Conductivity - Temperature - Pressure: Create the data process
# -------------------------------
log.debug("test_activateInstrumentSample: create L0 all data_process start")
try:
ctd_l0_all_data_process_id = self.dataprocessclient.create_data_process(
ctd_L0_all_dprocdef_id, [data_product_id1], self.output_products
)
self.dataprocessclient.activate_data_process(ctd_l0_all_data_process_id)
except BadRequest as ex:
self.fail("failed to create new data process: %s" % ex)
log.debug("test_createTransformsThenActivateInstrument: create L0 all data_process return")
log.debug("Creating new RAW data product with a stream definition")
raw_stream_def = SBE37_RAW_stream_definition()
raw_stream_def_id = self.pubsubcli.create_stream_definition(container=raw_stream_def)
dp_obj = IonObject(
RT.DataProduct,
name="the raw data",
description="raw stream test",
temporal_domain=tdom,
spatial_domain=sdom,
)
data_product_id2 = self.dpclient.create_data_product(dp_obj, raw_stream_def_id, parameter_dictionary)
log.debug("new dp_id = %s", str(data_product_id2))
self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=data_product_id2)
self.dpclient.activate_data_product_persistence(data_product_id=data_product_id2)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(data_product_id2, PRED.hasStream, None, True)
log.debug("Data product streams2 = %s", str(stream_ids))
self.imsclient.start_instrument_agent_instance(instrument_agent_instance_id=instAgentInstance_id)
inst_agent_instance_obj = self.imsclient.read_instrument_agent_instance(instAgentInstance_id)
log.debug("Instrument agent instance obj: = %s", str(inst_agent_instance_obj))
# Start a resource agent client to talk with the instrument agent.
# self._ia_client = ResourceAgentClient('123xyz', name=inst_agent_instance_obj.agent_process_id, process=FakeProcess())
self._ia_client = ResourceAgentClient(instDevice_id, process=FakeProcess())
log.debug("test_activateInstrumentSample: got ia client %s", str(self._ia_client))
cmd = AgentCommand(command="initialize")
retval = self._ia_client.execute_agent(cmd)
log.debug("test_activateInstrumentSample: initialize %s", str(retval))
time.sleep(1)
log.debug("test_activateInstrumentSample: Sending go_active command (L4-CI-SA-RQ-334)")
cmd = AgentCommand(command="go_active")
reply = self._ia_client.execute_agent(cmd)
log.debug("test_activateInstrument: return value from go_active %s", str(reply))
time.sleep(1)
cmd = AgentCommand(command="get_current_state")
retval = self._ia_client.execute_agent(cmd)
state = retval.result
log.debug(
"test_activateInstrumentSample: current state after sending go_active command %s (L4-CI-SA-RQ-334)",
str(state),
)
cmd = AgentCommand(command="run")
reply = self._ia_client.execute_agent(cmd)
log.debug("test_activateInstrumentSample: run %s", str(reply))
time.sleep(1)
log.debug("test_activateInstrumentSample: calling acquire_sample ")
cmd = AgentCommand(command="acquire_sample")
reply = self._ia_client.execute(cmd)
log.debug("test_activateInstrumentSample: return from acquire_sample %s", str(reply))
time.sleep(1)
log.debug("test_activateInstrumentSample: calling acquire_sample 2")
cmd = AgentCommand(command="acquire_sample")
reply = self._ia_client.execute(cmd)
log.debug("test_activateInstrumentSample: return from acquire_sample 2 %s", str(reply))
time.sleep(1)
log.debug("test_activateInstrumentSample: calling acquire_sample 3")
cmd = AgentCommand(command="acquire_sample")
reply = self._ia_client.execute(cmd)
log.debug("test_activateInstrumentSample: return from acquire_sample 3 %s", str(reply))
time.sleep(2)
log.debug("test_activateInstrumentSample: calling reset ")
cmd = AgentCommand(command="reset")
reply = self._ia_client.execute_agent(cmd)
log.debug("test_activateInstrumentSample: return from reset %s", str(reply))
time.sleep(1)
# -------------------------------
# Deactivate InstrumentAgentInstance
# -------------------------------
self.imsclient.stop_instrument_agent_instance(instrument_agent_instance_id=instAgentInstance_id)
for pid in self.loggerpids:
self.processdispatchclient.cancel_process(pid)
@unittest.skip("TBD")
def test_activateInstrumentStream(self):
self.loggerpids = []
# Create InstrumentModel
instModel_obj = IonObject(
RT.InstrumentModel, name="SBE37IMModel", description="SBE37IMModel", model="SBE37IMModel"
)
try:
instModel_id = self.imsclient.create_instrument_model(instModel_obj)
except BadRequest as ex:
self.fail("failed to create new InstrumentModel: %s" % ex)
log.debug("new InstrumentModel id = %s ", instModel_id)
# Create InstrumentAgent
instAgent_obj = IonObject(
RT.InstrumentAgent,
name="agent007",
description="SBE37IMAgent",
driver_module="ion.agents.instrument.instrument_agent",
driver_class="InstrumentAgent",
)
try:
instAgent_id = self.imsclient.create_instrument_agent(instAgent_obj)
except BadRequest as ex:
self.fail("failed to create new InstrumentAgent: %s" % ex)
log.debug("new InstrumentAgent id = %s", instAgent_id)
self.imsclient.assign_instrument_model_to_instrument_agent(instModel_id, instAgent_id)
# Create InstrumentDevice
log.debug(
"test_activateInstrumentSample: Create instrument resource to represent the SBE37 (SA Req: L4-CI-SA-RQ-241) "
)
instDevice_obj = IonObject(
RT.InstrumentDevice, name="SBE37IMDevice", description="SBE37IMDevice", serial_number="12345"
)
try:
instDevice_id = self.imsclient.create_instrument_device(instrument_device=instDevice_obj)
self.imsclient.assign_instrument_model_to_instrument_device(instModel_id, instDevice_id)
except BadRequest as ex:
self.fail("failed to create new InstrumentDevice: %s" % ex)
log.debug(
"test_activateInstrumentSample: new InstrumentDevice id = %s (SA Req: L4-CI-SA-RQ-241) ", instDevice_id
)
instAgentInstance_obj = IonObject(
RT.InstrumentAgentInstance,
name="SBE37IMAgentInstance",
description="SBE37IMAgentInstance",
driver_module="mi.instrument.seabird.sbe37smb.ooicore.driver",
driver_class="SBE37Driver",
comms_device_address="sbe37-simulator.oceanobservatories.org",
comms_device_port=4001,
port_agent_work_dir="/tmp/",
port_agent_delimeter=["<<", ">>"],
)
instAgentInstance_id = self.imsclient.create_instrument_agent_instance(
instAgentInstance_obj, instAgent_id, instDevice_id
)
# create a stream definition for the data from the ctd simulator
ctd_stream_def = SBE37_CDM_stream_definition()
ctd_stream_def_id = self.pubsubcli.create_stream_definition(container=ctd_stream_def)
log.debug("new Stream Definition id = %s", instDevice_id)
log.debug("Creating new CDM data product with a stream definition")
craft = CoverageCraft
sdom, tdom = craft.create_domains()
sdom = sdom.dump()
tdom = tdom.dump()
parameter_dictionary = craft.create_parameters()
parameter_dictionary = parameter_dictionary.dump()
dp_obj = IonObject(
RT.DataProduct,
name="the parsed data",
description="ctd stream test",
temporal_domain=tdom,
spatial_domain=sdom,
)
data_product_id1 = self.dpclient.create_data_product(dp_obj, ctd_stream_def_id, parameter_dictionary)
log.debug("new dp_id = %s", data_product_id1)
self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=data_product_id1)
self.dpclient.activate_data_product_persistence(data_product_id=data_product_id1)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(data_product_id1, PRED.hasStream, None, True)
log.debug("Data product streams1 = %s", stream_ids)
pid = self.create_logger("ctd_parsed", stream_ids[0])
self.loggerpids.append(pid)
# simdata_subscription_id = self.pubsubcli.create_subscription(
# query=StreamQuery([stream_ids[0]]),
# exchange_name='Sim_data_queue',
# name='SimDataSubscription',
# description='SimData SubscriptionDescription'
# )
#
#
# def simdata_message_received(message, headers):
# input = str(message)
# log.debug("test_activateInstrumentStream: granule received: %s", input)
#
#
# subscriber_registrar = StreamSubscriberRegistrar(process=self.container, container=self.container)
# simdata_subscriber = subscriber_registrar.create_subscriber(exchange_name='Sim_data_queue', callback=simdata_message_received)
#
# # Start subscribers
# simdata_subscriber.start()
#
# # Activate subscriptions
# self.pubsubcli.activate_subscription(simdata_subscription_id)
log.debug("Creating new RAW data product with a stream definition")
raw_stream_def = SBE37_RAW_stream_definition()
raw_stream_def_id = self.pubsubcli.create_stream_definition(container=raw_stream_def)
dp_obj = IonObject(
RT.DataProduct,
name="the raw data",
description="raw stream test",
temporal_domain=tdom,
spatial_domain=sdom,
)
data_product_id2 = self.dpclient.create_data_product(dp_obj, raw_stream_def_id, parameter_dictionary)
log.debug("new dp_id = %s", str(data_product_id2))
self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=data_product_id2)
self.dpclient.activate_data_product_persistence(data_product_id=data_product_id2)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(data_product_id2, PRED.hasStream, None, True)
log.debug("Data product streams2 = %s", str(stream_ids))
self.imsclient.start_instrument_agent_instance(instrument_agent_instance_id=instAgentInstance_id)
inst_agent_instance_obj = self.imsclient.read_instrument_agent_instance(instAgentInstance_id)
log.debug("test_activateInstrumentStream Instrument agent instance obj: = %s", str(inst_agent_instance_obj))
# Start a resource agent client to talk with the instrument agent.
# self._ia_client = ResourceAgentClient('123xyz', name=inst_agent_instance_obj.agent_process_id, process=FakeProcess())
self._ia_client = ResourceAgentClient(instDevice_id, process=FakeProcess())
log.debug("test_activateInstrumentStream: got ia client %s", str(self._ia_client))
cmd = AgentCommand(command="initialize")
retval = self._ia_client.execute_agent(cmd)
log.debug("test_activateInstrumentStream: initialize %s", str(retval))
time.sleep(2)
log.debug("test_activateInstrumentStream: Sending go_active command (L4-CI-SA-RQ-334)")
cmd = AgentCommand(command="go_active")
reply = self._ia_client.execute_agent(cmd)
log.debug("test_activateInstrumentStream: return value from go_active %s", str(reply))
time.sleep(2)
cmd = AgentCommand(command="get_current_state")
retval = self._ia_client.execute_agent(cmd)
state = retval.result
log.debug(
"test_activateInstrumentStream: current state after sending go_active command %s (L4-CI-SA-RQ-334)",
str(state),
)
cmd = AgentCommand(command="run")
reply = self._ia_client.execute_agent(cmd)
time.sleep(2)
cmd = AgentCommand(command="get_current_state")
retval = self._ia_client.execute_agent(cmd)
state = retval.result
log.debug("test_activateInstrumentStream: return from run state: %s", str(state))
# Make sure the sampling rate and transmission are sane.
params = {SBE37Parameter.NAVG: 1, SBE37Parameter.INTERVAL: 5, SBE37Parameter.TXREALTIME: True}
self._ia_client.set_param(params)
time.sleep(2)
log.debug("test_activateInstrumentStream: calling go_streaming ")
cmd = AgentCommand(command="go_streaming")
reply = self._ia_client.execute_agent(cmd)
time.sleep(2)
cmd = AgentCommand(command="get_current_state")
retval = self._ia_client.execute_agent(cmd)
state = retval.result
log.debug("test_activateInstrumentStream: return from go_streaming state: %s", str(state))
time.sleep(5)
log.debug("test_activateInstrumentStream: calling go_observatory")
cmd = AgentCommand(command="go_observatory")
reply = self._ia_client.execute_agent(cmd)
cmd = AgentCommand(command="get_current_state")
retval = self._ia_client.execute_agent(cmd)
state = retval.result
log.debug("test_activateInstrumentStream: return from go_observatory state %s", str(state))
log.debug("test_activateInstrumentStream: calling reset ")
cmd = AgentCommand(command="reset")
reply = self._ia_client.execute_agent(cmd)
log.debug("test_activateInstrumentStream: return from reset state:%s", str(reply.result))
time.sleep(2)
# -------------------------------
# Deactivate InstrumentAgentInstance
# -------------------------------
self.imsclient.stop_instrument_agent_instance(instrument_agent_instance_id=instAgentInstance_id)
for pid in self.loggerpids:
self.processdispatchclient.cancel_process(pid)
class TestCTDTransformsIntegration(IonIntegrationTestCase):
pdict_id = None
def setUp(self):
# Start container
#print 'instantiating container'
self._start_container()
#container = Container()
#print 'starting container'
#container.start()
#print 'started container
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
print 'started services'
# Now create client to DataProductManagementService
self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
self.damsclient = DataAcquisitionManagementServiceClient(
node=self.container.node)
self.pubsubclient = PubsubManagementServiceClient(
node=self.container.node)
self.ingestclient = IngestionManagementServiceClient(
node=self.container.node)
self.imsclient = InstrumentManagementServiceClient(
node=self.container.node)
self.dataproductclient = DataProductManagementServiceClient(
node=self.container.node)
self.dataprocessclient = DataProcessManagementServiceClient(
node=self.container.node)
self.datasetclient = DatasetManagementServiceClient(
node=self.container.node)
self.processdispatchclient = ProcessDispatcherServiceClient(
node=self.container.node)
self.dataset_management = self.datasetclient
def create_logger(self, name, stream_id=''):
# logger process
producer_definition = ProcessDefinition(name=name + '_logger')
producer_definition.executable = {
'module': 'ion.processes.data.stream_granule_logger',
'class': 'StreamGranuleLogger'
}
logger_procdef_id = self.processdispatchclient.create_process_definition(
process_definition=producer_definition)
configuration = {
'process': {
'stream_id': stream_id,
}
}
pid = self.processdispatchclient.schedule_process(
process_definition_id=logger_procdef_id,
configuration=configuration)
return pid
def _create_instrument_model(self):
instModel_obj = IonObject(RT.InstrumentModel,
name='SBE37IMModel',
description="SBE37IMModel")
instModel_id = self.imsclient.create_instrument_model(instModel_obj)
return instModel_id
def _create_instrument_agent(self, instModel_id):
raw_config = StreamConfiguration(
stream_name='raw', parameter_dictionary_name='ctd_raw_param_dict')
parsed_config = StreamConfiguration(
stream_name='parsed',
parameter_dictionary_name='ctd_parsed_param_dict')
instAgent_obj = IonObject(
RT.InstrumentAgent,
name='agent007',
description="SBE37IMAgent",
driver_uri=DRV_URI_GOOD,
stream_configurations=[raw_config, parsed_config])
instAgent_id = self.imsclient.create_instrument_agent(instAgent_obj)
self.imsclient.assign_instrument_model_to_instrument_agent(
instModel_id, instAgent_id)
return instAgent_id
def _create_instrument_device(self, instModel_id):
instDevice_obj = IonObject(RT.InstrumentDevice,
name='SBE37IMDevice',
description="SBE37IMDevice",
serial_number="12345")
instDevice_id = self.imsclient.create_instrument_device(
instrument_device=instDevice_obj)
self.imsclient.assign_instrument_model_to_instrument_device(
instModel_id, instDevice_id)
log.debug(
"test_activateInstrumentSample: new InstrumentDevice id = %s (SA Req: L4-CI-SA-RQ-241) ",
instDevice_id)
return instDevice_id
def _create_instrument_agent_instance(self, instAgent_id, instDevice_id):
port_agent_config = {
'device_addr': CFG.device.sbe37.host,
'device_port': CFG.device.sbe37.port,
'process_type': PortAgentProcessType.UNIX,
'binary_path': "port_agent",
'port_agent_addr': 'localhost',
'command_port': CFG.device.sbe37.port_agent_cmd_port,
'data_port': CFG.device.sbe37.port_agent_data_port,
'log_level': 5,
'type': PortAgentType.ETHERNET
}
instAgentInstance_obj = IonObject(RT.InstrumentAgentInstance,
name='SBE37IMAgentInstance',
description="SBE37IMAgentInstance",
port_agent_config=port_agent_config)
instAgentInstance_id = self.imsclient.create_instrument_agent_instance(
instAgentInstance_obj, instAgent_id, instDevice_id)
return instAgentInstance_id
def _create_param_dicts(self):
tdom, sdom = time_series_domain()
self.sdom = sdom.dump()
self.tdom = tdom.dump()
self.pdict_id = self.dataset_management.read_parameter_dictionary_by_name(
'ctd_parsed_param_dict', id_only=True)
def _create_input_data_products(
self,
ctd_stream_def_id,
instDevice_id,
):
dp_obj = IonObject(RT.DataProduct,
name='the parsed data',
description='ctd stream test',
temporal_domain=self.tdom,
spatial_domain=self.sdom)
ctd_parsed_data_product = self.dataproductclient.create_data_product(
dp_obj, ctd_stream_def_id)
self.damsclient.assign_data_product(
input_resource_id=instDevice_id,
data_product_id=ctd_parsed_data_product)
self.dataproductclient.activate_data_product_persistence(
data_product_id=ctd_parsed_data_product)
#---------------------------------------------------------------------------
# Retrieve the id of the OUTPUT stream from the out Data Product
#---------------------------------------------------------------------------
stream_ids, _ = self.rrclient.find_objects(ctd_parsed_data_product,
PRED.hasStream, None, True)
pid = self.create_logger('ctd_parsed', stream_ids[0])
self.loggerpids.append(pid)
#---------------------------------------------------------------------------
# Create CTD Raw as the second data product
#---------------------------------------------------------------------------
if not self.pdict_id:
self._create_param_dicts()
raw_stream_def_id = self.pubsubclient.create_stream_definition(
name='SBE37_RAW', parameter_dictionary_id=self.pdict_id)
dp_obj = IonObject(RT.DataProduct,
name='the raw data',
description='raw stream test',
temporal_domain=self.tdom,
spatial_domain=self.sdom)
ctd_raw_data_product = self.dataproductclient.create_data_product(
dp_obj, raw_stream_def_id)
self.damsclient.assign_data_product(
input_resource_id=instDevice_id,
data_product_id=ctd_raw_data_product)
self.dataproductclient.activate_data_product_persistence(
data_product_id=ctd_raw_data_product)
#---------------------------------------------------------------------------
# Retrieve the id of the OUTPUT stream from the out Data Product
#---------------------------------------------------------------------------
stream_ids, _ = self.rrclient.find_objects(ctd_raw_data_product,
PRED.hasStream, None, True)
#---------------------------------------------------------------------------
# Retrieve the id of the OUTPUT stream from the out Data Product
#---------------------------------------------------------------------------
stream_ids, _ = self.rrclient.find_objects(ctd_raw_data_product,
PRED.hasStream, None, True)
print 'Data product streams2 = ', stream_ids
return ctd_parsed_data_product
def _create_data_process_definitions(self):
#-------------------------------------------------------------------------------------
# L0 Conductivity - Temperature - Pressure: Data Process Definition
#-------------------------------------------------------------------------------------
dpd_obj = IonObject(
RT.DataProcessDefinition,
name='ctd_L0_all',
description='transform ctd package into three separate L0 streams',
module='ion.processes.data.transforms.ctd.ctd_L0_all',
class_name='ctd_L0_all')
self.ctd_L0_all_dprocdef_id = self.dataprocessclient.create_data_process_definition(
dpd_obj)
#-------------------------------------------------------------------------------------
# L1 Conductivity: Data Process Definition
#-------------------------------------------------------------------------------------
dpd_obj = IonObject(
RT.DataProcessDefinition,
name='ctd_L1_conductivity',
description='create the L1 conductivity data product',
module='ion.processes.data.transforms.ctd.ctd_L1_conductivity',
class_name='CTDL1ConductivityTransform')
self.ctd_L1_conductivity_dprocdef_id = self.dataprocessclient.create_data_process_definition(
dpd_obj)
#-------------------------------------------------------------------------------------
# L1 Pressure: Data Process Definition
#-------------------------------------------------------------------------------------
dpd_obj = IonObject(
RT.DataProcessDefinition,
name='ctd_L1_pressure',
description='create the L1 pressure data product',
module='ion.processes.data.transforms.ctd.ctd_L1_pressure',
class_name='CTDL1PressureTransform')
self.ctd_L1_pressure_dprocdef_id = self.dataprocessclient.create_data_process_definition(
dpd_obj)
#-------------------------------------------------------------------------------------
# L1 Temperature: Data Process Definition
#-------------------------------------------------------------------------------------
dpd_obj = IonObject(
RT.DataProcessDefinition,
name='ctd_L1_temperature',
description='create the L1 temperature data product',
module='ion.processes.data.transforms.ctd.ctd_L1_temperature',
class_name='CTDL1TemperatureTransform')
self.ctd_L1_temperature_dprocdef_id = self.dataprocessclient.create_data_process_definition(
dpd_obj)
#-------------------------------------------------------------------------------------
# L2 Salinity: Data Process Definition
#-------------------------------------------------------------------------------------
dpd_obj = IonObject(
RT.DataProcessDefinition,
name='ctd_L2_salinity',
description='create the L1 temperature data product',
module='ion.processes.data.transforms.ctd.ctd_L2_salinity',
class_name='SalinityTransform')
self.ctd_L2_salinity_dprocdef_id = self.dataprocessclient.create_data_process_definition(
dpd_obj)
#-------------------------------------------------------------------------------------
# L2 Density: Data Process Definition
#-------------------------------------------------------------------------------------
dpd_obj = IonObject(
RT.DataProcessDefinition,
name='ctd_L2_density',
description='create the L1 temperature data product',
module='ion.processes.data.transforms.ctd.ctd_L2_density',
class_name='DensityTransform')
self.ctd_L2_density_dprocdef_id = self.dataprocessclient.create_data_process_definition(
dpd_obj)
return self.ctd_L0_all_dprocdef_id, self.ctd_L1_conductivity_dprocdef_id,\
self.ctd_L1_pressure_dprocdef_id,self.ctd_L1_temperature_dprocdef_id, \
self.ctd_L2_salinity_dprocdef_id, self.ctd_L2_density_dprocdef_id
def _create_stream_definitions(self):
if not self.pdict_id:
self._create_param_dicts()
outgoing_stream_l0_conductivity_id = self.pubsubclient.create_stream_definition(
name='L0_Conductivity', parameter_dictionary_id=self.pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
outgoing_stream_l0_conductivity_id,
self.ctd_L0_all_dprocdef_id,
binding='conductivity')
outgoing_stream_l0_pressure_id = self.pubsubclient.create_stream_definition(
name='L0_Pressure', parameter_dictionary_id=self.pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
outgoing_stream_l0_pressure_id,
self.ctd_L0_all_dprocdef_id,
binding='pressure')
outgoing_stream_l0_temperature_id = self.pubsubclient.create_stream_definition(
name='L0_Temperature', parameter_dictionary_id=self.pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
outgoing_stream_l0_temperature_id,
self.ctd_L0_all_dprocdef_id,
binding='temperature')
return outgoing_stream_l0_conductivity_id, outgoing_stream_l0_pressure_id, outgoing_stream_l0_temperature_id
def _create_l0_output_data_products(self,
outgoing_stream_l0_conductivity_id,
outgoing_stream_l0_pressure_id,
outgoing_stream_l0_temperature_id):
out_data_prods = []
ctd_l0_conductivity_output_dp_obj = IonObject(
RT.DataProduct,
name='L0_Conductivity',
description='transform output conductivity',
temporal_domain=self.tdom,
spatial_domain=self.sdom)
self.ctd_l0_conductivity_output_dp_id = self.dataproductclient.create_data_product(
ctd_l0_conductivity_output_dp_obj,
outgoing_stream_l0_conductivity_id)
out_data_prods.append(self.ctd_l0_conductivity_output_dp_id)
self.dataproductclient.activate_data_product_persistence(
data_product_id=self.ctd_l0_conductivity_output_dp_id)
ctd_l0_pressure_output_dp_obj = IonObject(
RT.DataProduct,
name='L0_Pressure',
description='transform output pressure',
temporal_domain=self.tdom,
spatial_domain=self.sdom)
self.ctd_l0_pressure_output_dp_id = self.dataproductclient.create_data_product(
ctd_l0_pressure_output_dp_obj, outgoing_stream_l0_pressure_id)
out_data_prods.append(self.ctd_l0_pressure_output_dp_id)
self.dataproductclient.activate_data_product_persistence(
data_product_id=self.ctd_l0_pressure_output_dp_id)
ctd_l0_temperature_output_dp_obj = IonObject(
RT.DataProduct,
name='L0_Temperature',
description='transform output temperature',
temporal_domain=self.tdom,
spatial_domain=self.sdom)
self.ctd_l0_temperature_output_dp_id = self.dataproductclient.create_data_product(
ctd_l0_temperature_output_dp_obj,
outgoing_stream_l0_temperature_id)
out_data_prods.append(self.ctd_l0_temperature_output_dp_id)
self.dataproductclient.activate_data_product_persistence(
data_product_id=self.ctd_l0_temperature_output_dp_id)
return out_data_prods
def _create_l1_out_data_products(self):
ctd_l1_conductivity_output_dp_obj = IonObject(
RT.DataProduct,
name='L1_Conductivity',
description='transform output L1 conductivity',
temporal_domain=self.tdom,
spatial_domain=self.sdom)
self.ctd_l1_conductivity_output_dp_id = self.dataproductclient.create_data_product(
ctd_l1_conductivity_output_dp_obj,
self.outgoing_stream_l1_conductivity_id)
self.dataproductclient.activate_data_product_persistence(
data_product_id=self.ctd_l1_conductivity_output_dp_id)
# Retrieve the id of the OUTPUT stream from the out Data Product and add to granule logger
stream_ids, _ = self.rrclient.find_objects(
self.ctd_l1_conductivity_output_dp_id, PRED.hasStream, None, True)
pid = self.create_logger('ctd_l1_conductivity', stream_ids[0])
self.loggerpids.append(pid)
ctd_l1_pressure_output_dp_obj = IonObject(
RT.DataProduct,
name='L1_Pressure',
description='transform output L1 pressure',
temporal_domain=self.tdom,
spatial_domain=self.sdom)
self.ctd_l1_pressure_output_dp_id = self.dataproductclient.create_data_product(
ctd_l1_pressure_output_dp_obj, self.outgoing_stream_l1_pressure_id)
self.dataproductclient.activate_data_product_persistence(
data_product_id=self.ctd_l1_pressure_output_dp_id)
# Retrieve the id of the OUTPUT stream from the out Data Product and add to granule logger
stream_ids, _ = self.rrclient.find_objects(
self.ctd_l1_pressure_output_dp_id, PRED.hasStream, None, True)
pid = self.create_logger('ctd_l1_pressure', stream_ids[0])
self.loggerpids.append(pid)
ctd_l1_temperature_output_dp_obj = IonObject(
RT.DataProduct,
name='L1_Temperature',
description='transform output L1 temperature',
temporal_domain=self.tdom,
spatial_domain=self.sdom)
self.ctd_l1_temperature_output_dp_id = self.dataproductclient.create_data_product(
ctd_l1_temperature_output_dp_obj,
self.outgoing_stream_l1_temperature_id)
self.dataproductclient.activate_data_product_persistence(
data_product_id=self.ctd_l1_temperature_output_dp_id)
# Retrieve the id of the OUTPUT stream from the out Data Product and add to granule logger
stream_ids, _ = self.rrclient.find_objects(
self.ctd_l1_temperature_output_dp_id, PRED.hasStream, None, True)
pid = self.create_logger('ctd_l1_temperature', stream_ids[0])
self.loggerpids.append(pid)
def _create_l2_out_data_products(self):
#-------------------------------
# L2 Salinity - Density: Output Data Products
#-------------------------------
if not self.pdict_id: self._create_param_dicts()
outgoing_stream_l2_salinity_id = self.pubsubclient.create_stream_definition(
name='L2_salinity', parameter_dictionary_id=self.pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
outgoing_stream_l2_salinity_id,
self.ctd_L2_salinity_dprocdef_id,
binding='salinity')
outgoing_stream_l2_density_id = self.pubsubclient.create_stream_definition(
name='L2_Density', parameter_dictionary_id=self.pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
outgoing_stream_l2_density_id,
self.ctd_L2_density_dprocdef_id,
binding='density')
ctd_l2_salinity_output_dp_obj = IonObject(
RT.DataProduct,
name='L2_Salinity',
description='transform output L2 salinity',
temporal_domain=self.tdom,
spatial_domain=self.sdom)
self.ctd_l2_salinity_output_dp_id = self.dataproductclient.create_data_product(
ctd_l2_salinity_output_dp_obj, outgoing_stream_l2_salinity_id)
self.dataproductclient.activate_data_product_persistence(
data_product_id=self.ctd_l2_salinity_output_dp_id)
# Retrieve the id of the OUTPUT stream from the out Data Product and add to granule logger
stream_ids, _ = self.rrclient.find_objects(
self.ctd_l2_salinity_output_dp_id, PRED.hasStream, None, True)
pid = self.create_logger('ctd_l2_salinity', stream_ids[0])
self.loggerpids.append(pid)
ctd_l2_density_output_dp_obj = IonObject(
RT.DataProduct,
name='L2_Density',
description='transform output pressure',
temporal_domain=self.tdom,
spatial_domain=self.sdom)
self.ctd_l2_density_output_dp_id = self.dataproductclient.create_data_product(
ctd_l2_density_output_dp_obj, outgoing_stream_l2_density_id)
self.dataproductclient.activate_data_product_persistence(
data_product_id=self.ctd_l2_density_output_dp_id)
# Retrieve the id of the OUTPUT stream from the out Data Product and add to granule logger
stream_ids, _ = self.rrclient.find_objects(
self.ctd_l2_density_output_dp_id, PRED.hasStream, None, True)
pid = self.create_logger('ctd_l2_density', stream_ids[0])
self.loggerpids.append(pid)
@unittest.skip('This test errors on coi-nightly, may be OBE.')
def test_createTransformsThenActivateInstrument(self):
self.loggerpids = []
#-------------------------------------------------------------------------------------
# Create InstrumentModel
#-------------------------------------------------------------------------------------
instModel_id = self._create_instrument_model()
#-------------------------------------------------------------------------------------
# Create InstrumentAgent
#-------------------------------------------------------------------------------------
instAgent_id = self._create_instrument_agent(instModel_id)
#-------------------------------------------------------------------------------------
# Create InstrumentDevice
#-------------------------------------------------------------------------------------
instDevice_id = self._create_instrument_device(instModel_id)
#-------------------------------------------------------------------------------------
# Create Instrument Agent Instance
#-------------------------------------------------------------------------------------
instAgentInstance_id = self._create_instrument_agent_instance(
instAgent_id, instDevice_id)
#-------------------------------------------------------------------------------------
# create a stream definition for the data from the ctd simulator
#-------------------------------------------------------------------------------------
self._create_param_dicts()
ctd_stream_def_id = self.pubsubclient.create_stream_definition(
name='SBE37_CDM', parameter_dictionary_id=self.pdict_id)
#-------------------------------------------------------------------------------------
# Create two data products
#-------------------------------------------------------------------------------------
ctd_parsed_data_product = self._create_input_data_products(
ctd_stream_def_id, instDevice_id)
#-------------------------------------------------------------------------------------
# Create data process definitions
#-------------------------------------------------------------------------------------
self._create_data_process_definitions()
#-------------------------------------------------------------------------------------
# L0 Conductivity - Temperature - Pressure: Output Data Products
#-------------------------------------------------------------------------------------
outgoing_stream_l0_conductivity_id, \
outgoing_stream_l0_pressure_id, \
outgoing_stream_l0_temperature_id = self._create_stream_definitions()
self.out_prod_ids = self._create_l0_output_data_products(
outgoing_stream_l0_conductivity_id, outgoing_stream_l0_pressure_id,
outgoing_stream_l0_temperature_id)
self.outgoing_stream_l1_conductivity_id = self.pubsubclient.create_stream_definition(
name='L1_conductivity', parameter_dictionary_id=self.pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
self.outgoing_stream_l1_conductivity_id,
self.ctd_L1_conductivity_dprocdef_id,
binding='conductivity')
self.outgoing_stream_l1_pressure_id = self.pubsubclient.create_stream_definition(
name='L1_Pressure', parameter_dictionary_id=self.pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
self.outgoing_stream_l1_pressure_id,
self.ctd_L1_pressure_dprocdef_id,
binding='pressure')
self.outgoing_stream_l1_temperature_id = self.pubsubclient.create_stream_definition(
name='L1_Temperature', parameter_dictionary_id=self.pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
self.outgoing_stream_l1_temperature_id,
self.ctd_L1_temperature_dprocdef_id,
binding='temperature')
self._create_l1_out_data_products()
self._create_l2_out_data_products()
#-------------------------------------------------------------------------------------
# L0 Conductivity - Temperature - Pressure: Create the data process
#-------------------------------------------------------------------------------------
ctd_l0_all_data_process_id = self.dataprocessclient.create_data_process(
data_process_definition_id=self.ctd_L0_all_dprocdef_id,
in_data_product_ids=[ctd_parsed_data_product],
out_data_product_ids=self.out_prod_ids)
self.dataprocessclient.activate_data_process(
ctd_l0_all_data_process_id)
data_process = self.rrclient.read(ctd_l0_all_data_process_id)
process_ids, _ = self.rrclient.find_objects(
subject=ctd_l0_all_data_process_id,
predicate=PRED.hasProcess,
id_only=True)
self.addCleanup(self.processdispatchclient.cancel_process,
process_ids[0])
extended_process = self.dataprocessclient.get_data_process_extension(
ctd_l0_all_data_process_id)
self.assertEquals(extended_process.computed.operational_state.status,
ComputedValueAvailability.NOTAVAILABLE)
self.assertEquals(data_process.message_controllable, True)
#-------------------------------------------------------------------------------------
# L1 Conductivity: Create the data process
#-------------------------------------------------------------------------------------
l1_conductivity_data_process_id = self.dataprocessclient.create_data_process(
self.ctd_L1_conductivity_dprocdef_id,
[self.ctd_l0_conductivity_output_dp_id],
[self.ctd_l1_conductivity_output_dp_id])
self.dataprocessclient.activate_data_process(
l1_conductivity_data_process_id)
data_process = self.rrclient.read(l1_conductivity_data_process_id)
process_ids, _ = self.rrclient.find_objects(
subject=l1_conductivity_data_process_id,
predicate=PRED.hasProcess,
id_only=True)
self.addCleanup(self.processdispatchclient.cancel_process,
process_ids[0])
#-------------------------------------------------------------------------------------
# L1 Pressure: Create the data process
#-------------------------------------------------------------------------------------
l1_pressure_data_process_id = self.dataprocessclient.create_data_process(
self.ctd_L1_pressure_dprocdef_id,
[self.ctd_l0_pressure_output_dp_id],
[self.ctd_l1_pressure_output_dp_id])
self.dataprocessclient.activate_data_process(
l1_pressure_data_process_id)
data_process = self.rrclient.read(l1_pressure_data_process_id)
process_ids, _ = self.rrclient.find_objects(
subject=l1_pressure_data_process_id,
predicate=PRED.hasProcess,
id_only=True)
self.addCleanup(self.processdispatchclient.cancel_process,
process_ids[0])
#-------------------------------------------------------------------------------------
# L1 Temperature: Create the data process
#-------------------------------------------------------------------------------------
l1_temperature_all_data_process_id = self.dataprocessclient.create_data_process(
self.ctd_L1_temperature_dprocdef_id,
[self.ctd_l0_temperature_output_dp_id],
[self.ctd_l1_temperature_output_dp_id])
self.dataprocessclient.activate_data_process(
l1_temperature_all_data_process_id)
data_process = self.rrclient.read(l1_temperature_all_data_process_id)
process_ids, _ = self.rrclient.find_objects(
subject=l1_temperature_all_data_process_id,
predicate=PRED.hasProcess,
id_only=True)
self.addCleanup(self.processdispatchclient.cancel_process,
process_ids[0])
#-------------------------------------------------------------------------------------
# L2 Salinity: Create the data process
#-------------------------------------------------------------------------------------
l2_salinity_all_data_process_id = self.dataprocessclient.create_data_process(
self.ctd_L2_salinity_dprocdef_id, [ctd_parsed_data_product],
[self.ctd_l2_salinity_output_dp_id])
self.dataprocessclient.activate_data_process(
l2_salinity_all_data_process_id)
data_process = self.rrclient.read(l2_salinity_all_data_process_id)
process_ids, _ = self.rrclient.find_objects(
subject=l2_salinity_all_data_process_id,
predicate=PRED.hasProcess,
id_only=True)
self.addCleanup(self.processdispatchclient.cancel_process,
process_ids[0])
#-------------------------------------------------------------------------------------
# L2 Density: Create the data process
#-------------------------------------------------------------------------------------
l2_density_all_data_process_id = self.dataprocessclient.create_data_process(
self.ctd_L2_density_dprocdef_id, [ctd_parsed_data_product],
[self.ctd_l2_density_output_dp_id])
self.dataprocessclient.activate_data_process(
l2_density_all_data_process_id)
data_process = self.rrclient.read(l2_density_all_data_process_id)
process_ids, _ = self.rrclient.find_objects(
subject=l2_density_all_data_process_id,
predicate=PRED.hasProcess,
id_only=True)
self.addCleanup(self.processdispatchclient.cancel_process,
process_ids[0])
#-------------------------------------------------------------------------------------
# Launch InstrumentAgentInstance, connect to the resource agent client
#-------------------------------------------------------------------------------------
self.imsclient.start_instrument_agent_instance(
instrument_agent_instance_id=instAgentInstance_id)
self.addCleanup(self.imsclient.stop_instrument_agent_instance,
instrument_agent_instance_id=instAgentInstance_id)
inst_agent_instance_obj = self.imsclient.read_instrument_agent_instance(
instAgentInstance_id)
# Wait for instrument agent to spawn
gate = AgentProcessStateGate(self.processdispatchclient.read_process,
instDevice_id, ProcessStateEnum.RUNNING)
self.assertTrue(
gate. await (15),
"The instrument agent instance did not spawn in 15 seconds")
# Start a resource agent client to talk with the instrument agent.
self._ia_client = ResourceAgentClient(instDevice_id,
to_name=gate.process_id,
process=FakeProcess())
#-------------------------------------------------------------------------------------
# Streaming
#-------------------------------------------------------------------------------------
cmd = AgentCommand(command=ResourceAgentEvent.INITIALIZE)
reply = self._ia_client.execute_agent(cmd)
self.assertTrue(reply.status == 0)
cmd = AgentCommand(command=ResourceAgentEvent.GO_ACTIVE)
reply = self._ia_client.execute_agent(cmd)
self.assertTrue(reply.status == 0)
cmd = AgentCommand(command=ResourceAgentEvent.GET_RESOURCE_STATE)
retval = self._ia_client.execute_agent(cmd)
state = retval.result
log.debug(
"(L4-CI-SA-RQ-334): current state after sending go_active command %s",
str(state))
self.assertTrue(state, 'DRIVER_STATE_COMMAND')
cmd = AgentCommand(command=ResourceAgentEvent.RUN)
reply = self._ia_client.execute_agent(cmd)
self.assertTrue(reply.status == 0)
#todo ResourceAgentClient no longer has method set_param
# # Make sure the sampling rate and transmission are sane.
# params = {
# SBE37Parameter.NAVG : 1,
# SBE37Parameter.INTERVAL : 5,
# SBE37Parameter.TXREALTIME : True
# }
# self._ia_client.set_param(params)
#todo There is no ResourceAgentEvent attribute for go_streaming... so what should be the command for it?
cmd = AgentCommand(command=SBE37ProtocolEvent.START_AUTOSAMPLE)
retval = self._ia_client.execute_resource(cmd)
# This gevent sleep is there to test the autosample time, which will show something different from default
# only if the instrument runs for over a minute
gevent.sleep(90)
extended_instrument = self.imsclient.get_instrument_device_extension(
instrument_device_id=instDevice_id)
self.assertIsInstance(extended_instrument.computed.uptime,
ComputedStringValue)
autosample_string = extended_instrument.computed.uptime.value
autosampling_time = int(autosample_string.split()[4])
self.assertTrue(autosampling_time > 0)
cmd = AgentCommand(command=SBE37ProtocolEvent.STOP_AUTOSAMPLE)
retval = self._ia_client.execute_resource(cmd)
#todo There is no ResourceAgentEvent attribute for go_observatory... so what should be the command for it?
# log.debug("test_activateInstrumentStream: calling go_observatory")
# cmd = AgentCommand(command='go_observatory')
# reply = self._ia_client.execute_agent(cmd)
# cmd = AgentCommand(command='get_current_state')
# retval = self._ia_client.execute_agent(cmd)
# state = retval.result
# log.debug("test_activateInstrumentStream: return from go_observatory state %s", str(state))
cmd = AgentCommand(command=ResourceAgentEvent.RESET)
reply = self._ia_client.execute_agent(cmd)
self.assertTrue(reply.status == 0)
#-------------------------------------------------------------------------------------------------
# Cleanup processes
#-------------------------------------------------------------------------------------------------
for pid in self.loggerpids:
self.processdispatchclient.cancel_process(pid)
#--------------------------------------------------------------------------------
# Cleanup data products
#--------------------------------------------------------------------------------
dp_ids, _ = self.rrclient.find_resources(restype=RT.DataProduct,
id_only=True)
for dp_id in dp_ids:
self.dataproductclient.delete_data_product(dp_id)
class Launcher(object):
"""
Helper for launching platform and instrument agent processes.
"""
def __init__(self, timeout_spawn):
"""
@param timeout_spawn Default timeout in secs for the RUNNING event.
"""
self._timeout_spawn = timeout_spawn
self._pd_client = ProcessDispatcherServiceClient()
self._agent_launcher = AgentLauncher(self._pd_client)
def destroy(self):
if self._pd_client:
self._pd_client.close()
self._pd_client = None
self._agent_launcher = None
def launch_platform(self, agt_id, agent_config, timeout_spawn=None):
"""
Launches a platform agent.
@param agt_id Some ID mainly used for logging
@param agent_config Agent configuration
@param timeout_spawn Timeout in secs for the RUNNING event (by
default, the value given in constructor).
If None or zero, no wait is performed.
@return process ID
"""
timeout_spawn = timeout_spawn or self._timeout_spawn
log.debug("launch_platform: agt_id=%r, timeout_spawn=%s", agt_id,
timeout_spawn)
name = 'PlatformAgent_%s' % agt_id
pdef = ProcessDefinition(name=name)
pdef.executable = {
'module': 'ion.agents.platform.platform_agent',
'class': 'PlatformAgent'
}
pdef_id = self._pd_client.create_process_definition(
process_definition=pdef)
pid = self._agent_launcher.launch(agent_config, pdef_id)
if timeout_spawn:
log.debug("launch_platform: agt_id=%r: waiting for RUNNING",
agt_id)
self._agent_launcher.await_launch(timeout_spawn)
log.debug("launch_platform: agt_id=%r: RUNNING", agt_id)
return pid
def launch_instrument(self, agt_id, agent_config, timeout_spawn=None):
"""
Launches an instrument agent.
@param agt_id Some ID mainly used for logging
@param agent_config Agent configuration
@param timeout_spawn Timeout in secs for the RUNNING event (by
default, the value given in constructor).
If None or zero, no wait is performed.
@return process ID
"""
timeout_spawn = timeout_spawn or self._timeout_spawn
log.debug("launch_instrument: agt_id=%r, timeout_spawn=%s", agt_id,
timeout_spawn)
name = 'InstrumentAgent_%s' % agt_id
pdef = ProcessDefinition(name=name)
pdef.executable = {
'module': 'ion.agents.instrument.instrument_agent',
'class': 'InstrumentAgent'
}
pdef_id = self._pd_client.create_process_definition(
process_definition=pdef)
pid = self._agent_launcher.launch(agent_config, pdef_id)
if timeout_spawn:
log.debug("launch_instrument: agt_id=%r: waiting for RUNNING",
agt_id)
self._agent_launcher.await_launch(timeout_spawn)
log.debug("launch_instrument: agt_id=%r: RUNNING", agt_id)
return pid
def cancel_process(self, pid, timeout_cancel=None):
"""
Helper to terminate a process
"""
pinfo = self._pd_client.read_process(pid)
if pinfo.process_state != ProcessStateEnum.RUNNING:
log.debug("cancel_process: pid=%r is not RUNNING", pid)
return
log.debug("cancel_process: canceling pid=%r", pid)
self._pd_client.cancel_process(pid)
if timeout_cancel:
log.debug("waiting %s seconds for preocess to cancel",
timeout_cancel)
psg = ProcessStateGate(self._pd_client.read_process, pid,
ProcessStateEnum.TERMINATED)
if not psg. await (timeout_cancel):
log.debug(
"Process %r failed to get to TERMINATED in %s seconds",
pid, timeout_cancel)
class ProcessDispatcherServiceIntTest(IonIntegrationTestCase):
def setUp(self):
self._start_container()
self.container.start_rel_from_url('res/deploy/r2cei.yml')
self.rr_cli = ResourceRegistryServiceClient()
self.pd_cli = ProcessDispatcherServiceClient(node=self.container.node)
self.process_definition = ProcessDefinition(name='test_process')
self.process_definition.executable = {'module': 'ion.services.cei.test.test_process_dispatcher',
'class': 'TestProcess'}
self.process_definition_id = self.pd_cli.create_process_definition(self.process_definition)
self.waiter = ProcessStateWaiter()
def tearDown(self):
self.waiter.stop()
def test_create_schedule_cancel(self):
process_schedule = ProcessSchedule()
process_schedule.queueing_mode = ProcessQueueingMode.ALWAYS
pid = self.pd_cli.create_process(self.process_definition_id)
self.waiter.start(pid)
pid2 = self.pd_cli.schedule_process(self.process_definition_id,
process_schedule, configuration={}, process_id=pid)
self.assertEqual(pid, pid2)
# verifies L4-CI-CEI-RQ141 and L4-CI-CEI-RQ142
self.waiter.await_state_event(pid, ProcessStateEnum.RUNNING)
proc = self.pd_cli.read_process(pid)
self.assertEqual(proc.process_id, pid)
self.assertEqual(proc.process_configuration, {})
self.assertEqual(proc.process_state, ProcessStateEnum.RUNNING)
# make sure process is readable directly from RR (mirrored)
# verifies L4-CI-CEI-RQ63
# verifies L4-CI-CEI-RQ64
proc = self.rr_cli.read(pid)
self.assertEqual(proc.process_id, pid)
# now try communicating with the process to make sure it is really running
test_client = TestClient()
for i in range(5):
self.assertEqual(i + 1, test_client.count(timeout=10))
# verifies L4-CI-CEI-RQ147
# kill the process and start it again
self.pd_cli.cancel_process(pid)
self.waiter.await_state_event(pid, ProcessStateEnum.TERMINATED)
self.waiter.stop()
oldpid = pid
pid = self.pd_cli.create_process(self.process_definition_id)
self.waiter.start(pid)
pid2 = self.pd_cli.schedule_process(self.process_definition_id,
process_schedule, configuration={}, process_id=pid)
self.assertEqual(pid, pid2)
self.assertNotEqual(oldpid, pid)
self.waiter.await_state_event(pid, ProcessStateEnum.RUNNING)
for i in range(5):
self.assertEqual(i + 1, test_client.count(timeout=10))
# kill the process for good
self.pd_cli.cancel_process(pid)
self.waiter.await_state_event(pid, ProcessStateEnum.TERMINATED)
def test_schedule_with_config(self):
process_schedule = ProcessSchedule()
process_schedule.queueing_mode = ProcessQueueingMode.ALWAYS
pid = self.pd_cli.create_process(self.process_definition_id)
self.waiter.start(pid)
# verifies L4-CI-CEI-RQ66
# feed in a string that the process will return -- verifies that
# configuration actually makes it to the instantiated process
test_response = uuid.uuid4().hex
configuration = {"test_response" : test_response}
pid2 = self.pd_cli.schedule_process(self.process_definition_id,
process_schedule, configuration=configuration, process_id=pid)
self.assertEqual(pid, pid2)
self.waiter.await_state_event(pid, ProcessStateEnum.RUNNING)
test_client = TestClient()
# verifies L4-CI-CEI-RQ139
# assure that configuration block (which can contain inputs, outputs,
# and arbitrary config) 1) makes it to the process and 2) is returned
# in process queries
self.assertEqual(test_client.query(), test_response)
proc = self.pd_cli.read_process(pid)
self.assertEqual(proc.process_id, pid)
self.assertEqual(proc.process_configuration, configuration)
# kill the process for good
self.pd_cli.cancel_process(pid)
self.waiter.await_state_event(pid, ProcessStateEnum.TERMINATED)
def test_schedule_bad_config(self):
process_schedule = ProcessSchedule()
# a non-JSON-serializable IonObject
o = ProcessTarget()
with self.assertRaises(BadRequest) as ar:
self.pd_cli.schedule_process(self.process_definition_id,
process_schedule, configuration={"bad": o})
self.assertTrue(ar.exception.message.startswith("bad configuration"))
def test_create_invalid_definition(self):
# create process definition missing module and class
# verifies L4-CI-CEI-RQ137
executable = dict(url="http://somewhere.com/something.py")
definition = ProcessDefinition(name="test_process", executable=executable)
with self.assertRaises(BadRequest) as ar:
self.pd_cli.create_process_definition(definition)
class TestDataProductManagementServiceIntegration(IonIntegrationTestCase):
def setUp(self):
# Start container
#print 'instantiating container'
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
self.dpsc_cli = DataProductManagementServiceClient(node=self.container.node)
self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
self.damsclient = DataAcquisitionManagementServiceClient(node=self.container.node)
self.pubsubcli = PubsubManagementServiceClient(node=self.container.node)
self.ingestclient = IngestionManagementServiceClient(node=self.container.node)
self.process_dispatcher = ProcessDispatcherServiceClient()
self.dataset_management = DatasetManagementServiceClient()
self.unsc = UserNotificationServiceClient()
self.data_retriever = DataRetrieverServiceClient()
#------------------------------------------
# Create the environment
#------------------------------------------
datastore_name = CACHE_DATASTORE_NAME
self.db = self.container.datastore_manager.get_datastore(datastore_name)
self.stream_def_id = self.pubsubcli.create_stream_definition(name='SBE37_CDM')
self.process_definitions = {}
ingestion_worker_definition = ProcessDefinition(name='ingestion worker')
ingestion_worker_definition.executable = {
'module':'ion.processes.data.ingestion.science_granule_ingestion_worker',
'class' :'ScienceGranuleIngestionWorker'
}
process_definition_id = self.process_dispatcher.create_process_definition(process_definition=ingestion_worker_definition)
self.process_definitions['ingestion_worker'] = process_definition_id
self.pids = []
self.exchange_points = []
self.exchange_names = []
#------------------------------------------------------------------------------------------------
# First launch the ingestors
#------------------------------------------------------------------------------------------------
self.exchange_space = 'science_granule_ingestion'
self.exchange_point = 'science_data'
config = DotDict()
config.process.datastore_name = 'datasets'
config.process.queue_name = self.exchange_space
self.exchange_names.append(self.exchange_space)
self.exchange_points.append(self.exchange_point)
pid = self.process_dispatcher.schedule_process(self.process_definitions['ingestion_worker'],configuration=config)
log.debug("the ingestion worker process id: %s", pid)
self.pids.append(pid)
self.addCleanup(self.cleaning_up)
def cleaning_up(self):
for pid in self.pids:
log.debug("number of pids to be terminated: %s", len(self.pids))
try:
self.process_dispatcher.cancel_process(pid)
log.debug("Terminated the process: %s", pid)
except:
log.debug("could not terminate the process id: %s" % pid)
IngestionManagementIntTest.clean_subscriptions()
for xn in self.exchange_names:
xni = self.container.ex_manager.create_xn_queue(xn)
xni.delete()
for xp in self.exchange_points:
xpi = self.container.ex_manager.create_xp(xp)
xpi.delete()
def get_datastore(self, dataset_id):
dataset = self.dataset_management.read_dataset(dataset_id)
datastore_name = dataset.datastore_name
datastore = self.container.datastore_manager.get_datastore(datastore_name, DataStore.DS_PROFILE.SCIDATA)
return datastore
def test_create_data_product(self):
#------------------------------------------------------------------------------------------------
# create a stream definition for the data from the ctd simulator
#------------------------------------------------------------------------------------------------
parameter_dictionary_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict')
ctd_stream_def_id = self.pubsubcli.create_stream_definition(name='Simulated CTD data', parameter_dictionary_id=parameter_dictionary_id)
log.debug("Created stream def id %s" % ctd_stream_def_id)
#------------------------------------------------------------------------------------------------
# test creating a new data product w/o a stream definition
#------------------------------------------------------------------------------------------------
# Generic time-series data domain creation
tdom, sdom = time_series_domain()
dp_obj = IonObject(RT.DataProduct,
name='DP1',
description='some new dp',
temporal_domain = tdom.dump(),
spatial_domain = sdom.dump())
log.debug("Created an IonObject for a data product: %s" % dp_obj)
#------------------------------------------------------------------------------------------------
# Create a set of ParameterContext objects to define the parameters in the coverage, add each to the ParameterDictionary
#------------------------------------------------------------------------------------------------
dp_id = self.dpsc_cli.create_data_product( data_product= dp_obj,
stream_definition_id=ctd_stream_def_id)
self.dpsc_cli.activate_data_product_persistence(dp_id)
dp_obj = self.dpsc_cli.read_data_product(dp_id)
self.assertIsNotNone(dp_obj)
#------------------------------------------------------------------------------------------------
# test creating a new data product with a stream definition
#------------------------------------------------------------------------------------------------
log.debug('Creating new data product with a stream definition')
dp_obj = IonObject(RT.DataProduct,
name='DP2',
description='some new dp',
temporal_domain = tdom.dump(),
spatial_domain = sdom.dump())
dp_id2 = self.dpsc_cli.create_data_product(dp_obj, ctd_stream_def_id)
self.dpsc_cli.activate_data_product_persistence(dp_id2)
log.debug('new dp_id = %s' % dp_id2)
#------------------------------------------------------------------------------------------------
#make sure data product is associated with stream def
#------------------------------------------------------------------------------------------------
streamdefs = []
streams, _ = self.rrclient.find_objects(dp_id2, PRED.hasStream, RT.Stream, True)
for s in streams:
log.debug("Checking stream %s" % s)
sdefs, _ = self.rrclient.find_objects(s, PRED.hasStreamDefinition, RT.StreamDefinition, True)
for sd in sdefs:
log.debug("Checking streamdef %s" % sd)
streamdefs.append(sd)
self.assertIn(ctd_stream_def_id, streamdefs)
# test reading a non-existent data product
log.debug('reading non-existent data product')
with self.assertRaises(NotFound):
dp_obj = self.dpsc_cli.read_data_product('some_fake_id')
# update a data product (tests read also)
log.debug('Updating data product')
# first get the existing dp object
dp_obj = self.dpsc_cli.read_data_product(dp_id)
# now tweak the object
dp_obj.description = 'the very first dp'
# now write the dp back to the registry
update_result = self.dpsc_cli.update_data_product(dp_obj)
# now get the dp back to see if it was updated
dp_obj = self.dpsc_cli.read_data_product(dp_id)
self.assertEquals(dp_obj.description,'the very first dp')
#test extension
extended_product = self.dpsc_cli.get_data_product_extension(dp_id)
self.assertEqual(dp_id, extended_product._id)
self.assertEqual(ComputedValueAvailability.PROVIDED,
extended_product.computed.product_download_size_estimated.status)
self.assertEqual(0, extended_product.computed.product_download_size_estimated.value)
self.assertEqual(ComputedValueAvailability.PROVIDED,
extended_product.computed.parameters.status)
#log.debug("test_create_data_product: parameters %s" % extended_product.computed.parameters.value)
# now 'delete' the data product
log.debug("deleting data product: %s" % dp_id)
self.dpsc_cli.delete_data_product(dp_id)
self.dpsc_cli.force_delete_data_product(dp_id)
# now try to get the deleted dp object
with self.assertRaises(NotFound):
dp_obj = self.dpsc_cli.read_data_product(dp_id)
# Get the events corresponding to the data product
ret = self.unsc.get_recent_events(resource_id=dp_id)
events = ret.value
for event in events:
log.debug("event time: %s" % event.ts_created)
# self.assertTrue(len(events) > 0)
def test_data_product_stream_def(self):
pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
ctd_stream_def_id = self.pubsubcli.create_stream_definition(name='Simulated CTD data', parameter_dictionary_id=pdict_id)
tdom, sdom = time_series_domain()
sdom = sdom.dump()
tdom = tdom.dump()
dp_obj = IonObject(RT.DataProduct,
name='DP1',
description='some new dp',
temporal_domain = tdom,
spatial_domain = sdom)
dp_id = self.dpsc_cli.create_data_product(data_product= dp_obj,
stream_definition_id=ctd_stream_def_id)
stream_def_id = self.dpsc_cli.get_data_product_stream_definition(dp_id)
self.assertEquals(ctd_stream_def_id, stream_def_id)
def test_activate_suspend_data_product(self):
#------------------------------------------------------------------------------------------------
# create a stream definition for the data from the ctd simulator
#------------------------------------------------------------------------------------------------
pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
ctd_stream_def_id = self.pubsubcli.create_stream_definition(name='Simulated CTD data', parameter_dictionary_id=pdict_id)
log.debug("Created stream def id %s" % ctd_stream_def_id)
#------------------------------------------------------------------------------------------------
# test creating a new data product w/o a stream definition
#------------------------------------------------------------------------------------------------
# Construct temporal and spatial Coordinate Reference System objects
tdom, sdom = time_series_domain()
sdom = sdom.dump()
tdom = tdom.dump()
dp_obj = IonObject(RT.DataProduct,
name='DP1',
description='some new dp',
temporal_domain = tdom,
spatial_domain = sdom)
log.debug("Created an IonObject for a data product: %s" % dp_obj)
#------------------------------------------------------------------------------------------------
# Create a set of ParameterContext objects to define the parameters in the coverage, add each to the ParameterDictionary
#------------------------------------------------------------------------------------------------
dp_id = self.dpsc_cli.create_data_product(data_product= dp_obj,
stream_definition_id=ctd_stream_def_id)
#------------------------------------------------------------------------------------------------
# test activate and suspend data product persistence
#------------------------------------------------------------------------------------------------
self.dpsc_cli.activate_data_product_persistence(dp_id)
dp_obj = self.dpsc_cli.read_data_product(dp_id)
self.assertIsNotNone(dp_obj)
dataset_ids, _ = self.rrclient.find_objects(subject=dp_id, predicate=PRED.hasDataset, id_only=True)
if not dataset_ids:
raise NotFound("Data Product %s dataset does not exist" % str(dp_id))
self.get_datastore(dataset_ids[0])
# Check that the streams associated with the data product are persisted with
stream_ids, _ = self.rrclient.find_objects(dp_id,PRED.hasStream,RT.Stream,True)
for stream_id in stream_ids:
self.assertTrue(self.ingestclient.is_persisted(stream_id))
#--------------------------------------------------------------------------------
# Now get the data in one chunk using an RPC Call to start_retreive
#--------------------------------------------------------------------------------
replay_data = self.data_retriever.retrieve(dataset_ids[0])
self.assertIsInstance(replay_data, Granule)
log.debug("The data retriever was able to replay the dataset that was attached to the data product "
"we wanted to be persisted. Therefore the data product was indeed persisted with "
"otherwise we could not have retrieved its dataset using the data retriever. Therefore "
"this demonstration shows that L4-CI-SA-RQ-267 is satisfied: 'Data product management shall persist data products'")
data_product_object = self.rrclient.read(dp_id)
self.assertEquals(data_product_object.name,'DP1')
self.assertEquals(data_product_object.description,'some new dp')
log.debug("Towards L4-CI-SA-RQ-308: 'Data product management shall persist data product metadata'. "
" Attributes in create for the data product obj, name= '%s', description='%s', match those of object from the "
"resource registry, name='%s', desc='%s'" % (dp_obj.name, dp_obj.description,data_product_object.name,
data_product_object.description))
#------------------------------------------------------------------------------------------------
# test suspend data product persistence
#------------------------------------------------------------------------------------------------
self.dpsc_cli.suspend_data_product_persistence(dp_id)
self.dpsc_cli.force_delete_data_product(dp_id)
# now try to get the deleted dp object
with self.assertRaises(NotFound):
dp_obj = self.rrclient.read(dp_id)
class ProcessDispatcherServiceIntTest(IonIntegrationTestCase):
def setUp(self):
self._start_container()
self.container.start_rel_from_url('res/deploy/r2cei.yml')
self.pd_cli = ProcessDispatcherServiceClient(node=self.container.node)
self.process_definition = ProcessDefinition(name='test_process')
self.process_definition.executable = {'module': 'ion.services.cei.test.test_process_dispatcher',
'class':'TestProcess'}
self.process_definition_id = self.pd_cli.create_process_definition(self.process_definition)
self.event_queue = queue.Queue()
self.event_sub = None
def tearDown(self):
if self.event_sub:
self.event_sub.deactivate()
def _event_callback(self, event, *args, **kwargs):
self.event_queue.put(event)
def subscribe_events(self, origin):
self.event_sub = EventSubscriber(event_type="ProcessLifecycleEvent",
callback=self._event_callback, origin=origin, origin_type="DispatchedProcess")
self.event_sub.activate()
def await_state_event(self, pid, state):
event = self.event_queue.get(timeout=5)
log.debug("Got event: %s", event)
self.assertEqual(event.origin, pid)
self.assertEqual(event.state, state)
return event
def test_create_schedule_cancel(self):
process_schedule = ProcessSchedule()
pid = self.pd_cli.create_process(self.process_definition_id)
self.subscribe_events(pid)
pid2 = self.pd_cli.schedule_process(self.process_definition_id,
process_schedule, configuration={}, process_id=pid)
self.assertEqual(pid, pid2)
self.await_state_event(pid, ProcessStateEnum.SPAWN)
# now try communicating with the process to make sure it is really running
test_client = TestClient()
for i in range(5):
# this timeout may be too low
self.assertEqual(i+1, test_client.count(timeout=1))
# kill the process and start it again
self.pd_cli.cancel_process(pid)
self.await_state_event(pid, ProcessStateEnum.TERMINATE)
oldpid = pid
pid = self.pd_cli.create_process(self.process_definition_id)
self.subscribe_events(pid)
pid2 = self.pd_cli.schedule_process(self.process_definition_id,
process_schedule, configuration={}, process_id=pid)
self.assertEqual(pid, pid2)
self.assertNotEqual(oldpid, pid)
self.await_state_event(pid, ProcessStateEnum.SPAWN)
for i in range(5):
# this timeout may be too low
self.assertEqual(i+1, test_client.count(timeout=1))
# kill the process for good
self.pd_cli.cancel_process(pid)
self.await_state_event(pid, ProcessStateEnum.TERMINATE)
def test_schedule_bad_config(self):
process_schedule = ProcessSchedule()
# a non-JSON-serializable IonObject
o = ProcessTarget()
with self.assertRaises(BadRequest) as ar:
self.pd_cli.schedule_process(self.process_definition_id,
process_schedule, configuration={"bad" : o})
self.assertTrue(ar.exception.message.startswith("bad configuration"))
class TestDataProductManagementServiceCoverage(IonIntegrationTestCase):
def setUp(self):
# Start container
#print 'instantiating container'
self._start_container()
log.debug("Start rel from url")
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
self.DPMS = DataProductManagementServiceClient()
self.RR = ResourceRegistryServiceClient()
self.RR2 = EnhancedResourceRegistryClient(self.RR)
self.DAMS = DataAcquisitionManagementServiceClient()
self.PSMS = PubsubManagementServiceClient()
self.ingestclient = IngestionManagementServiceClient()
self.PD = ProcessDispatcherServiceClient()
self.DSMS = DatasetManagementServiceClient()
self.unsc = UserNotificationServiceClient()
self.data_retriever = DataRetrieverServiceClient()
#------------------------------------------
# Create the environment
#------------------------------------------
log.debug("get datastore")
datastore_name = CACHE_DATASTORE_NAME
self.db = self.container.datastore_manager.get_datastore(
datastore_name)
self.stream_def_id = self.PSMS.create_stream_definition(
name='SBE37_CDM')
self.process_definitions = {}
ingestion_worker_definition = ProcessDefinition(
name='ingestion worker')
ingestion_worker_definition.executable = {
'module':
'ion.processes.data.ingestion.science_granule_ingestion_worker',
'class': 'ScienceGranuleIngestionWorker'
}
process_definition_id = self.PD.create_process_definition(
process_definition=ingestion_worker_definition)
self.process_definitions['ingestion_worker'] = process_definition_id
self.pids = []
self.exchange_points = []
self.exchange_names = []
self.addCleanup(self.cleaning_up)
@staticmethod
def clean_subscriptions():
ingestion_management = IngestionManagementServiceClient()
pubsub = PubsubManagementServiceClient()
rr = ResourceRegistryServiceClient()
ingestion_config_ids = ingestion_management.list_ingestion_configurations(
id_only=True)
for ic in ingestion_config_ids:
subscription_ids, assocs = rr.find_objects(
subject=ic, predicate=PRED.hasSubscription, id_only=True)
for subscription_id, assoc in zip(subscription_ids, assocs):
rr.delete_association(assoc)
try:
pubsub.deactivate_subscription(subscription_id)
except:
log.exception("Unable to decativate subscription: %s",
subscription_id)
pubsub.delete_subscription(subscription_id)
def cleaning_up(self):
for pid in self.pids:
log.debug("number of pids to be terminated: %s", len(self.pids))
try:
self.PD.cancel_process(pid)
log.debug("Terminated the process: %s", pid)
except:
log.debug("could not terminate the process id: %s" % pid)
TestDataProductManagementServiceCoverage.clean_subscriptions()
for xn in self.exchange_names:
xni = self.container.ex_manager.create_xn_queue(xn)
xni.delete()
for xp in self.exchange_points:
xpi = self.container.ex_manager.create_xp(xp)
xpi.delete()
def test_CRUD_data_product(self):
#------------------------------------------------------------------------------------------------
# create a stream definition for the data from the ctd simulator
#------------------------------------------------------------------------------------------------
parameter_dictionary = self.DSMS.read_parameter_dictionary_by_name(
'ctd_parsed_param_dict')
ctd_stream_def_id = self.PSMS.create_stream_definition(
name='Simulated CTD data',
parameter_dictionary_id=parameter_dictionary._id)
log.debug("Created stream def id %s" % ctd_stream_def_id)
#------------------------------------------------------------------------------------------------
# test creating a new data product w/o a stream definition
#------------------------------------------------------------------------------------------------
# Generic time-series data domain creation
tdom, sdom = time_series_domain()
dp_obj = IonObject(RT.DataProduct,
name='DP1',
description='some new dp',
temporal_domain=tdom.dump(),
spatial_domain=sdom.dump())
dp_obj.geospatial_bounds.geospatial_latitude_limit_north = 10.0
dp_obj.geospatial_bounds.geospatial_latitude_limit_south = -10.0
dp_obj.geospatial_bounds.geospatial_longitude_limit_east = 10.0
dp_obj.geospatial_bounds.geospatial_longitude_limit_west = -10.0
dp_obj.ooi_product_name = "PRODNAME"
#------------------------------------------------------------------------------------------------
# Create a set of ParameterContext objects to define the parameters in the coverage, add each to the ParameterDictionary
#------------------------------------------------------------------------------------------------
log.debug("create dataset")
dataset_id = self.RR2.create(any_old(RT.Dataset))
log.debug("dataset_id = %s", dataset_id)
log.debug("create data product 1")
dp_id = self.DPMS.create_data_product(
data_product=dp_obj,
stream_definition_id=ctd_stream_def_id,
dataset_id=dataset_id)
log.debug("dp_id = %s", dp_id)
# Assert that the data product has an associated stream at this stage
stream_ids, _ = self.RR.find_objects(dp_id, PRED.hasStream, RT.Stream,
True)
self.assertNotEquals(len(stream_ids), 0)
log.debug("read data product")
dp_obj = self.DPMS.read_data_product(dp_id)
log.debug("find data products")
self.assertIn(dp_id, [r._id for r in self.DPMS.find_data_products()])
log.debug("update data product")
dp_obj.name = "brand new"
self.DPMS.update_data_product(dp_obj)
self.assertEqual("brand new", self.DPMS.read_data_product(dp_id).name)
log.debug("activate/suspend persistence")
self.assertFalse(self.DPMS.is_persisted(dp_id))
self.DPMS.activate_data_product_persistence(dp_id)
self.addCleanup(self.DPMS.suspend_data_product_persistence,
dp_id) # delete op will do this for us
self.assertTrue(self.DPMS.is_persisted(dp_id))
log.debug("check error on checking persistence of nonexistent stream")
#with self.assertRaises(NotFound):
if True:
self.DPMS.is_persisted(self.RR2.create(any_old(RT.DataProduct)))
#log.debug("get extension")
#self.DPMS.get_data_product_extension(dp_id)
log.debug("getting last update")
lastupdate = self.DPMS.get_last_update(dp_id)
self.assertEqual(
{}, lastupdate) # should be no updates to a new data product
log.debug("prepare resource support")
support = self.DPMS.prepare_data_product_support(dp_id)
self.assertIsNotNone(support)
log.debug("delete data product")
self.DPMS.delete_data_product(dp_id)
log.debug("try to suspend again")
self.DPMS.suspend_data_product_persistence(dp_id)
# try basic create
log.debug("create without a dataset")
dp_id2 = self.DPMS.create_data_product_(any_old(RT.DataProduct))
self.assertIsNotNone(dp_id2)
log.debug("activate product %s", dp_id2)
self.assertRaises(BadRequest,
self.DPMS.activate_data_product_persistence, dp_id2)
#self.assertNotEqual(0, len(self.RR2.find_dataset_ids_of_data_product_using_has_dataset(dp_id2)))
log.debug("force delete data product")
self.DPMS.force_delete_data_product(dp_id2)
log.debug("test complete")
class TestActivateInstrumentIntegration(IonIntegrationTestCase):
def setUp(self):
# Start container
super(TestActivateInstrumentIntegration, self).setUp()
config = DotDict()
config.bootstrap.use_es = True
self._start_container()
self.addCleanup(TestActivateInstrumentIntegration.es_cleanup)
self.container.start_rel_from_url('res/deploy/r2deploy.yml', config)
# Now create client to DataProductManagementService
self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
self.damsclient = DataAcquisitionManagementServiceClient(node=self.container.node)
self.pubsubcli = PubsubManagementServiceClient(node=self.container.node)
self.imsclient = InstrumentManagementServiceClient(node=self.container.node)
self.dpclient = DataProductManagementServiceClient(node=self.container.node)
self.datasetclient = DatasetManagementServiceClient(node=self.container.node)
self.processdispatchclient = ProcessDispatcherServiceClient(node=self.container.node)
self.dataprocessclient = DataProcessManagementServiceClient(node=self.container.node)
self.dataproductclient = DataProductManagementServiceClient(node=self.container.node)
self.dataretrieverclient = DataRetrieverServiceClient(node=self.container.node)
self.dataset_management = DatasetManagementServiceClient()
self.usernotificationclient = UserNotificationServiceClient()
#setup listerner vars
self._data_greenlets = []
self._no_samples = None
self._samples_received = []
self.event_publisher = EventPublisher()
@staticmethod
def es_cleanup():
es_host = CFG.get_safe('server.elasticsearch.host', 'localhost')
es_port = CFG.get_safe('server.elasticsearch.port', '9200')
es = ep.ElasticSearch(
host=es_host,
port=es_port,
timeout=10
)
indexes = STD_INDEXES.keys()
indexes.append('%s_resources_index' % get_sys_name().lower())
indexes.append('%s_events_index' % get_sys_name().lower())
for index in indexes:
IndexManagementService._es_call(es.river_couchdb_delete,index)
IndexManagementService._es_call(es.index_delete,index)
def create_logger(self, name, stream_id=''):
# logger process
producer_definition = ProcessDefinition(name=name+'_logger')
producer_definition.executable = {
'module':'ion.processes.data.stream_granule_logger',
'class':'StreamGranuleLogger'
}
logger_procdef_id = self.processdispatchclient.create_process_definition(process_definition=producer_definition)
configuration = {
'process':{
'stream_id':stream_id,
}
}
pid = self.processdispatchclient.schedule_process(process_definition_id=logger_procdef_id,
configuration=configuration)
return pid
def _create_notification(self, user_name = '', instrument_id='', product_id=''):
#--------------------------------------------------------------------------------------
# Make notification request objects
#--------------------------------------------------------------------------------------
notification_request_1 = NotificationRequest( name= 'notification_1',
origin=instrument_id,
origin_type="instrument",
event_type='ResourceLifecycleEvent')
notification_request_2 = NotificationRequest( name='notification_2',
origin=product_id,
origin_type="data product",
event_type='DetectionEvent')
#--------------------------------------------------------------------------------------
# Create a user and get the user_id
#--------------------------------------------------------------------------------------
user = UserInfo()
user.name = user_name
user.contact.email = '*****@*****.**' % user_name
user_id, _ = self.rrclient.create(user)
#--------------------------------------------------------------------------------------
# Create notification
#--------------------------------------------------------------------------------------
self.usernotificationclient.create_notification(notification=notification_request_1, user_id=user_id)
self.usernotificationclient.create_notification(notification=notification_request_2, user_id=user_id)
log.debug( "test_activateInstrumentSample: create_user_notifications user_id %s", str(user_id) )
return user_id
def get_datastore(self, dataset_id):
dataset = self.datasetclient.read_dataset(dataset_id)
datastore_name = dataset.datastore_name
datastore = self.container.datastore_manager.get_datastore(datastore_name, DataStore.DS_PROFILE.SCIDATA)
return datastore
def _check_computed_attributes_of_extended_instrument(self, expected_instrument_device_id = '',extended_instrument = None):
# Verify that computed attributes exist for the extended instrument
self.assertIsInstance(extended_instrument.computed.firmware_version, ComputedFloatValue)
self.assertIsInstance(extended_instrument.computed.last_data_received_datetime, ComputedFloatValue)
self.assertIsInstance(extended_instrument.computed.last_calibration_datetime, ComputedFloatValue)
self.assertIsInstance(extended_instrument.computed.uptime, ComputedStringValue)
self.assertIsInstance(extended_instrument.computed.power_status_roll_up, ComputedIntValue)
self.assertIsInstance(extended_instrument.computed.communications_status_roll_up, ComputedIntValue)
self.assertIsInstance(extended_instrument.computed.data_status_roll_up, ComputedIntValue)
self.assertIsInstance(extended_instrument.computed.location_status_roll_up, ComputedIntValue)
# the following assert will not work without elasticsearch.
#self.assertEqual( 1, len(extended_instrument.computed.user_notification_requests.value) )
self.assertEqual(extended_instrument.computed.communications_status_roll_up.value, StatusType.STATUS_WARNING)
self.assertEqual(extended_instrument.computed.data_status_roll_up.value, StatusType.STATUS_OK)
self.assertEqual(extended_instrument.computed.power_status_roll_up.value, StatusType.STATUS_WARNING)
# Verify the computed attribute for user notification requests
self.assertEqual( 1, len(extended_instrument.computed.user_notification_requests.value) )
notifications = extended_instrument.computed.user_notification_requests.value
notification = notifications[0]
self.assertEqual(notification.origin, expected_instrument_device_id)
self.assertEqual(notification.origin_type, "instrument")
self.assertEqual(notification.event_type, 'ResourceLifecycleEvent')
def _check_computed_attributes_of_extended_product(self, expected_data_product_id = '', extended_data_product = None):
self.assertEqual(expected_data_product_id, extended_data_product._id)
log.debug("extended_data_product.computed: %s", extended_data_product.computed)
# Verify that computed attributes exist for the extended instrument
self.assertIsInstance(extended_data_product.computed.product_download_size_estimated, ComputedIntValue)
self.assertIsInstance(extended_data_product.computed.number_active_subscriptions, ComputedIntValue)
self.assertIsInstance(extended_data_product.computed.data_url, ComputedStringValue)
self.assertIsInstance(extended_data_product.computed.stored_data_size, ComputedIntValue)
self.assertIsInstance(extended_data_product.computed.recent_granules, ComputedDictValue)
self.assertIsInstance(extended_data_product.computed.parameters, ComputedListValue)
self.assertIsInstance(extended_data_product.computed.recent_events, ComputedEventListValue)
self.assertIsInstance(extended_data_product.computed.provenance, ComputedDictValue)
self.assertIsInstance(extended_data_product.computed.user_notification_requests, ComputedListValue)
self.assertIsInstance(extended_data_product.computed.active_user_subscriptions, ComputedListValue)
self.assertIsInstance(extended_data_product.computed.past_user_subscriptions, ComputedListValue)
self.assertIsInstance(extended_data_product.computed.last_granule, ComputedDictValue)
self.assertIsInstance(extended_data_product.computed.is_persisted, ComputedIntValue)
self.assertIsInstance(extended_data_product.computed.data_contents_updated, ComputedStringValue)
self.assertIsInstance(extended_data_product.computed.data_datetime, ComputedListValue)
# exact text here keeps changing to fit UI capabilities. keep assertion general...
self.assertTrue( 'ok' in extended_data_product.computed.last_granule.value['quality_flag'] )
self.assertEqual( 2, len(extended_data_product.computed.data_datetime.value) )
notifications = extended_data_product.computed.user_notification_requests.value
notification = notifications[0]
self.assertEqual(notification.origin, expected_data_product_id)
self.assertEqual(notification.origin_type, "data product")
self.assertEqual(notification.event_type, 'DetectionEvent')
@attr('LOCOINT')
@unittest.skipIf(not use_es, 'No ElasticSearch')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False), 'Skip test while in CEI LAUNCH mode')
@patch.dict(CFG, {'endpoint':{'receive':{'timeout': 60}}})
def test_activateInstrumentSample(self):
self.loggerpids = []
# Create InstrumentModel
instModel_obj = IonObject(RT.InstrumentModel,
name='SBE37IMModel',
description="SBE37IMModel")
instModel_id = self.imsclient.create_instrument_model(instModel_obj)
log.debug( 'new InstrumentModel id = %s ', instModel_id)
#Create stream alarms
"""
test_two_sided_interval
Test interval alarm and alarm event publishing for a closed
inteval.
"""
# kwargs = {
# 'name' : 'test_sim_warning',
# 'stream_name' : 'parsed',
# 'value_id' : 'temp',
# 'message' : 'Temperature is above test range of 5.0.',
# 'type' : StreamAlarmType.WARNING,
# 'upper_bound' : 5.0,
# 'upper_rel_op' : '<'
# }
kwargs = {
'name' : 'temperature_warning_interval',
'stream_name' : 'parsed',
'value_id' : 'temp',
'message' : 'Temperature is below the normal range of 50.0 and above.',
'type' : StreamAlarmType.WARNING,
'lower_bound' : 50.0,
'lower_rel_op' : '<'
}
# Create alarm object.
alarm = {}
alarm['type'] = 'IntervalAlarmDef'
alarm['kwargs'] = kwargs
raw_config = StreamConfiguration(stream_name='raw', parameter_dictionary_name='ctd_raw_param_dict', records_per_granule=2, granule_publish_rate=5 )
parsed_config = StreamConfiguration(stream_name='parsed', parameter_dictionary_name='ctd_parsed_param_dict', records_per_granule=2, granule_publish_rate=5, alarms=[alarm] )
# Create InstrumentAgent
instAgent_obj = IonObject(RT.InstrumentAgent,
name='agent007',
description="SBE37IMAgent",
driver_uri="http://sddevrepo.oceanobservatories.org/releases/seabird_sbe37smb_ooicore-0.0.1a-py2.7.egg",
stream_configurations = [raw_config, parsed_config])
instAgent_id = self.imsclient.create_instrument_agent(instAgent_obj)
log.debug('new InstrumentAgent id = %s', instAgent_id)
self.imsclient.assign_instrument_model_to_instrument_agent(instModel_id, instAgent_id)
# Create InstrumentDevice
log.debug('test_activateInstrumentSample: Create instrument resource to represent the SBE37 (SA Req: L4-CI-SA-RQ-241) ')
instDevice_obj = IonObject(RT.InstrumentDevice,
name='SBE37IMDevice',
description="SBE37IMDevice",
serial_number="12345" )
instDevice_id = self.imsclient.create_instrument_device(instrument_device=instDevice_obj)
self.imsclient.assign_instrument_model_to_instrument_device(instModel_id, instDevice_id)
log.debug("test_activateInstrumentSample: new InstrumentDevice id = %s (SA Req: L4-CI-SA-RQ-241) " , instDevice_id)
port_agent_config = {
'device_addr': CFG.device.sbe37.host,
'device_port': CFG.device.sbe37.port,
'process_type': PortAgentProcessType.UNIX,
'binary_path': "port_agent",
'port_agent_addr': 'localhost',
'command_port': CFG.device.sbe37.port_agent_cmd_port,
'data_port': CFG.device.sbe37.port_agent_data_port,
'log_level': 5,
'type': PortAgentType.ETHERNET
}
instAgentInstance_obj = IonObject(RT.InstrumentAgentInstance, name='SBE37IMAgentInstance',
description="SBE37IMAgentInstance",
port_agent_config = port_agent_config)
instAgentInstance_id = self.imsclient.create_instrument_agent_instance(instAgentInstance_obj,
instAgent_id,
instDevice_id)
tdom, sdom = time_series_domain()
sdom = sdom.dump()
tdom = tdom.dump()
parsed_pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
parsed_stream_def_id = self.pubsubcli.create_stream_definition(name='parsed', parameter_dictionary_id=parsed_pdict_id)
raw_pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_raw_param_dict', id_only=True)
raw_stream_def_id = self.pubsubcli.create_stream_definition(name='raw', parameter_dictionary_id=raw_pdict_id)
#-------------------------------
# Create Raw and Parsed Data Products for the device
#-------------------------------
dp_obj = IonObject(RT.DataProduct,
name='the parsed data',
description='ctd stream test',
temporal_domain = tdom,
spatial_domain = sdom)
data_product_id1 = self.dpclient.create_data_product(data_product=dp_obj, stream_definition_id=parsed_stream_def_id)
log.debug( 'new dp_id = %s' , data_product_id1)
self.dpclient.activate_data_product_persistence(data_product_id=data_product_id1)
self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=data_product_id1)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(data_product_id1, PRED.hasStream, None, True)
log.debug('Data product streams1 = %s', stream_ids)
# Retrieve the id of the OUTPUT stream from the out Data Product
dataset_ids, _ = self.rrclient.find_objects(data_product_id1, PRED.hasDataset, RT.Dataset, True)
log.debug('Data set for data_product_id1 = %s' , dataset_ids[0])
self.parsed_dataset = dataset_ids[0]
pid = self.create_logger('ctd_parsed', stream_ids[0] )
self.loggerpids.append(pid)
dp_obj = IonObject(RT.DataProduct,
name='the raw data',
description='raw stream test',
temporal_domain = tdom,
spatial_domain = sdom)
data_product_id2 = self.dpclient.create_data_product(data_product=dp_obj, stream_definition_id=raw_stream_def_id)
log.debug('new dp_id = %s', data_product_id2)
self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=data_product_id2)
self.dpclient.activate_data_product_persistence(data_product_id=data_product_id2)
# setup notifications for the device and parsed data product
user_id_1 = self._create_notification( user_name='user_1', instrument_id=instDevice_id, product_id=data_product_id1)
#---------- Create notifications for another user and verify that we see different computed subscriptions for the two users ---------
user_id_2 = self._create_notification( user_name='user_2', instrument_id=instDevice_id, product_id=data_product_id2)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(data_product_id2, PRED.hasStream, None, True)
log.debug('Data product streams2 = %s' , str(stream_ids))
# Retrieve the id of the OUTPUT stream from the out Data Product
dataset_ids, _ = self.rrclient.find_objects(data_product_id2, PRED.hasDataset, RT.Dataset, True)
log.debug('Data set for data_product_id2 = %s' , dataset_ids[0])
self.raw_dataset = dataset_ids[0]
#elastic search debug
es_indexes, _ = self.container.resource_registry.find_resources(restype='ElasticSearchIndex')
log.debug('ElasticSearch indexes: %s', [i.name for i in es_indexes])
log.debug('Bootstrap %s', CFG.bootstrap.use_es)
def start_instrument_agent():
self.imsclient.start_instrument_agent_instance(instrument_agent_instance_id=instAgentInstance_id)
gevent.joinall([gevent.spawn(start_instrument_agent)])
#setup a subscriber to alarm events from the device
self._events_received= []
self._event_count = 0
self._samples_out_of_range = 0
self._samples_complete = False
self._async_sample_result = AsyncResult()
def consume_event(*args, **kwargs):
log.debug('TestActivateInstrument recieved ION event: args=%s, kwargs=%s, event=%s.',
str(args), str(kwargs), str(args[0]))
self._events_received.append(args[0])
self._event_count = len(self._events_received)
self._async_sample_result.set()
self._event_subscriber = EventSubscriber(
event_type= 'StreamWarningAlarmEvent', #'StreamWarningAlarmEvent', # StreamAlarmEvent
callback=consume_event,
origin=instDevice_id)
self._event_subscriber.start()
#cleanup
self.addCleanup(self.imsclient.stop_instrument_agent_instance,
instrument_agent_instance_id=instAgentInstance_id)
def stop_subscriber():
self._event_subscriber.stop()
self._event_subscriber = None
self.addCleanup(stop_subscriber)
#wait for start
inst_agent_instance_obj = self.imsclient.read_instrument_agent_instance(instAgentInstance_id)
gate = ProcessStateGate(self.processdispatchclient.read_process,
inst_agent_instance_obj.agent_process_id,
ProcessStateEnum.RUNNING)
self.assertTrue(gate.await(30), "The instrument agent instance (%s) did not spawn in 30 seconds" %
inst_agent_instance_obj.agent_process_id)
log.debug('Instrument agent instance obj: = %s' , str(inst_agent_instance_obj))
# Start a resource agent client to talk with the instrument agent.
self._ia_client = ResourceAgentClient(instDevice_id,
to_name=inst_agent_instance_obj.agent_process_id,
process=FakeProcess())
log.debug("test_activateInstrumentSample: got ia client %s" , str(self._ia_client))
cmd = AgentCommand(command=ResourceAgentEvent.INITIALIZE)
retval = self._ia_client.execute_agent(cmd)
log.debug("test_activateInstrumentSample: initialize %s" , str(retval))
state = self._ia_client.get_agent_state()
self.assertEqual(state, ResourceAgentState.INACTIVE)
log.debug("(L4-CI-SA-RQ-334): Sending go_active command ")
cmd = AgentCommand(command=ResourceAgentEvent.GO_ACTIVE)
reply = self._ia_client.execute_agent(cmd)
log.debug("test_activateInstrument: return value from go_active %s" , str(reply))
state = self._ia_client.get_agent_state()
self.assertEqual(state, ResourceAgentState.IDLE)
cmd = AgentCommand(command=ResourceAgentEvent.GET_RESOURCE_STATE)
retval = self._ia_client.execute_agent(cmd)
state = retval.result
log.debug("(L4-CI-SA-RQ-334): current state after sending go_active command %s" , str(state))
cmd = AgentCommand(command=ResourceAgentEvent.RUN)
reply = self._ia_client.execute_agent(cmd)
log.debug("test_activateInstrumentSample: run %s" , str(reply))
state = self._ia_client.get_agent_state()
self.assertEqual(state, ResourceAgentState.COMMAND)
cmd = AgentCommand(command=ResourceAgentEvent.PAUSE)
retval = self._ia_client.execute_agent(cmd)
state = self._ia_client.get_agent_state()
self.assertEqual(state, ResourceAgentState.STOPPED)
cmd = AgentCommand(command=ResourceAgentEvent.RESUME)
retval = self._ia_client.execute_agent(cmd)
state = self._ia_client.get_agent_state()
self.assertEqual(state, ResourceAgentState.COMMAND)
cmd = AgentCommand(command=ResourceAgentEvent.CLEAR)
retval = self._ia_client.execute_agent(cmd)
state = self._ia_client.get_agent_state()
self.assertEqual(state, ResourceAgentState.IDLE)
cmd = AgentCommand(command=ResourceAgentEvent.RUN)
retval = self._ia_client.execute_agent(cmd)
state = self._ia_client.get_agent_state()
self.assertEqual(state, ResourceAgentState.COMMAND)
cmd = AgentCommand(command=SBE37ProtocolEvent.ACQUIRE_SAMPLE)
for i in xrange(10):
retval = self._ia_client.execute_resource(cmd)
log.debug("test_activateInstrumentSample: return from sample %s" , str(retval))
log.debug( "test_activateInstrumentSample: calling reset ")
cmd = AgentCommand(command=ResourceAgentEvent.RESET)
reply = self._ia_client.execute_agent(cmd)
log.debug("test_activateInstrumentSample: return from reset %s" , str(reply))
self._samples_complete = True
#--------------------------------------------------------------------------------
# Now get the data in one chunk using an RPC Call to start_retreive
#--------------------------------------------------------------------------------
replay_data = self.dataretrieverclient.retrieve(self.parsed_dataset)
self.assertIsInstance(replay_data, Granule)
rdt = RecordDictionaryTool.load_from_granule(replay_data)
log.debug("test_activateInstrumentSample: RDT parsed: %s", str(rdt.pretty_print()) )
temp_vals = rdt['temp']
self.assertEquals(len(temp_vals) , 10)
log.debug("test_activateInstrumentSample: all temp_vals: %s", temp_vals )
#out_of_range_temp_vals = [i for i in temp_vals if i > 5]
out_of_range_temp_vals = [i for i in temp_vals if i < 50.0]
log.debug("test_activateInstrumentSample: Out_of_range_temp_vals: %s", out_of_range_temp_vals )
self._samples_out_of_range = len(out_of_range_temp_vals)
# if no bad values were produced, then do not wait for an event
if self._samples_out_of_range == 0:
self._async_sample_result.set()
log.debug("test_activateInstrumentSample: _events_received: %s", self._events_received )
log.debug("test_activateInstrumentSample: _event_count: %s", self._event_count )
self._async_sample_result.get(timeout=CFG.endpoint.receive.timeout)
replay_data = self.dataretrieverclient.retrieve(self.raw_dataset)
self.assertIsInstance(replay_data, Granule)
rdt = RecordDictionaryTool.load_from_granule(replay_data)
log.debug("RDT raw: %s", str(rdt.pretty_print()) )
raw_vals = rdt['raw']
self.assertEquals(len(raw_vals) , 10)
log.debug("l4-ci-sa-rq-138")
"""
Physical resource control shall be subject to policy
Instrument management control capabilities shall be subject to policy
The actor accessing the control capabilities must be authorized to send commands.
note from maurice 2012-05-18: Talk to tim M to verify that this is policy. If it is then talk with Stephen to
get an example of a policy test and use that to create a test stub that will be
completed when we have instrument policies.
Tim M: The "actor", aka observatory operator, will access the instrument through ION.
"""
#--------------------------------------------------------------------------------
# Get the extended data product to see if it contains the granules
#--------------------------------------------------------------------------------
extended_product = self.dpclient.get_data_product_extension(data_product_id=data_product_id1, user_id=user_id_1)
def poller(extended_product):
return len(extended_product.computed.user_notification_requests.value) == 1
poll(poller, extended_product, timeout=30)
self._check_computed_attributes_of_extended_product( expected_data_product_id = data_product_id1, extended_data_product = extended_product)
#--------------------------------------------------------------------------------
#put some events into the eventsdb to test - this should set the comms and data status to WARNING
#--------------------------------------------------------------------------------
t = get_ion_ts()
self.event_publisher.publish_event( ts_created= t, event_type = 'DeviceStatusEvent',
origin = instDevice_id, state=DeviceStatusType.OUT_OF_RANGE, values = [200] )
self.event_publisher.publish_event( ts_created= t, event_type = 'DeviceCommsEvent',
origin = instDevice_id, state=DeviceCommsType.DATA_DELIVERY_INTERRUPTION, lapse_interval_seconds = 20 )
#--------------------------------------------------------------------------------
# Get the extended instrument
#--------------------------------------------------------------------------------
extended_instrument = self.imsclient.get_instrument_device_extension(instrument_device_id=instDevice_id, user_id=user_id_1)
self._check_computed_attributes_of_extended_instrument(expected_instrument_device_id = instDevice_id, extended_instrument = extended_instrument)
#--------------------------------------------------------------------------------
# For the second user, check the extended data product and the extended intrument
#--------------------------------------------------------------------------------
extended_product = self.dpclient.get_data_product_extension(data_product_id=data_product_id2, user_id=user_id_2)
self._check_computed_attributes_of_extended_product(expected_data_product_id = data_product_id2, extended_data_product = extended_product)
#---------- Put some events into the eventsdb to test - this should set the comms and data status to WARNING ---------
t = get_ion_ts()
self.event_publisher.publish_event( ts_created= t, event_type = 'DeviceStatusEvent',
origin = instDevice_id, state=DeviceStatusType.OUT_OF_RANGE, values = [200] )
self.event_publisher.publish_event( ts_created= t, event_type = 'DeviceCommsEvent',
origin = instDevice_id, state=DeviceCommsType.DATA_DELIVERY_INTERRUPTION, lapse_interval_seconds = 20 )
#--------------------------------------------------------------------------------
# Get the extended instrument
#--------------------------------------------------------------------------------
extended_instrument = self.imsclient.get_instrument_device_extension(instrument_device_id=instDevice_id, user_id=user_id_2)
self._check_computed_attributes_of_extended_instrument(expected_instrument_device_id = instDevice_id, extended_instrument = extended_instrument)
#--------------------------------------------------------------------------------
# Deactivate loggers
#--------------------------------------------------------------------------------
for pid in self.loggerpids:
self.processdispatchclient.cancel_process(pid)
self.dpclient.delete_data_product(data_product_id1)
self.dpclient.delete_data_product(data_product_id2)
class Launcher(object):
"""
Helper for launching platform and instrument agent processes.
"""
def __init__(self, timeout_spawn):
"""
@param timeout_spawn Default timeout in secs for the RUNNING event.
"""
self._timeout_spawn = timeout_spawn
self._pd_client = ProcessDispatcherServiceClient()
self._agent_launcher = AgentLauncher(self._pd_client)
def destroy(self):
if self._pd_client:
self._pd_client.close()
self._pd_client = None
self._agent_launcher = None
def launch_platform(self, agt_id, agent_config, timeout_spawn=None):
"""
Launches a platform agent.
@param agt_id Some ID mainly used for logging
@param agent_config Agent configuration
@param timeout_spawn Timeout in secs for the RUNNING event (by
default, the value given in constructor).
If None or zero, no wait is performed.
@return process ID
"""
timeout_spawn = timeout_spawn or self._timeout_spawn
log.debug("launch_platform: agt_id=%r, timeout_spawn=%s", agt_id, timeout_spawn)
name = 'PlatformAgent_%s' % agt_id
pdef = ProcessDefinition(name=name)
pdef.executable = {
'module': 'ion.agents.platform.platform_agent',
'class': 'PlatformAgent'
}
pdef_id = self._pd_client.create_process_definition(process_definition=pdef)
pid = self._agent_launcher.launch(agent_config, pdef_id)
if timeout_spawn:
log.debug("launch_platform: agt_id=%r: waiting for RUNNING", agt_id)
self._agent_launcher.await_launch(timeout_spawn)
log.debug("launch_platform: agt_id=%r: RUNNING", agt_id)
return pid
def launch_instrument(self, agt_id, agent_config, timeout_spawn=None):
"""
Launches an instrument agent.
@param agt_id Some ID mainly used for logging
@param agent_config Agent configuration
@param timeout_spawn Timeout in secs for the RUNNING event (by
default, the value given in constructor).
If None or zero, no wait is performed.
@return process ID
"""
timeout_spawn = timeout_spawn or self._timeout_spawn
log.debug("launch_instrument: agt_id=%r, timeout_spawn=%s", agt_id, timeout_spawn)
name = 'InstrumentAgent_%s' % agt_id
pdef = ProcessDefinition(name=name)
pdef.executable = {
'module': 'ion.agents.instrument.instrument_agent',
'class': 'InstrumentAgent'
}
pdef_id = self._pd_client.create_process_definition(process_definition=pdef)
pid = self._agent_launcher.launch(agent_config, pdef_id)
if timeout_spawn:
log.debug("launch_instrument: agt_id=%r: waiting for RUNNING", agt_id)
self._agent_launcher.await_launch(timeout_spawn)
log.debug("launch_instrument: agt_id=%r: RUNNING", agt_id)
return pid
def cancel_process(self, pid, timeout_cancel=None):
"""
Helper to terminate a process
"""
pinfo = self._pd_client.read_process(pid)
if pinfo.process_state != ProcessStateEnum.RUNNING:
log.debug("cancel_process: pid=%r is not RUNNING", pid)
return
log.debug("cancel_process: canceling pid=%r", pid)
self._pd_client.cancel_process(pid)
if timeout_cancel:
log.debug("waiting %s seconds for preocess to cancel", timeout_cancel)
psg = ProcessStateGate(self._pd_client.read_process, pid,
ProcessStateEnum.TERMINATED)
if not psg.await(timeout_cancel):
log.debug("Process %r failed to get to TERMINATED in %s seconds",
pid, timeout_cancel)
class TestDataProductManagementServiceIntegration(IonIntegrationTestCase):
def setUp(self):
# Start container
#print 'instantiating container'
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
self.dpsc_cli = DataProductManagementServiceClient()
self.rrclient = ResourceRegistryServiceClient()
self.damsclient = DataAcquisitionManagementServiceClient()
self.pubsubcli = PubsubManagementServiceClient()
self.ingestclient = IngestionManagementServiceClient()
self.process_dispatcher = ProcessDispatcherServiceClient()
self.dataset_management = DatasetManagementServiceClient()
self.unsc = UserNotificationServiceClient()
self.data_retriever = DataRetrieverServiceClient()
self.identcli = IdentityManagementServiceClient()
#------------------------------------------
# Create the environment
#------------------------------------------
self.stream_def_id = self.pubsubcli.create_stream_definition(name='SBE37_CDM')
self.process_definitions = {}
ingestion_worker_definition = ProcessDefinition(name='ingestion worker')
ingestion_worker_definition.executable = {
'module':'ion.processes.data.ingestion.science_granule_ingestion_worker',
'class' :'ScienceGranuleIngestionWorker'
}
process_definition_id = self.process_dispatcher.create_process_definition(process_definition=ingestion_worker_definition)
self.process_definitions['ingestion_worker'] = process_definition_id
self.pids = []
self.exchange_points = []
self.exchange_names = []
#------------------------------------------------------------------------------------------------
# First launch the ingestors
#------------------------------------------------------------------------------------------------
self.exchange_space = 'science_granule_ingestion'
self.exchange_point = 'science_data'
config = DotDict()
config.process.datastore_name = 'datasets'
config.process.queue_name = self.exchange_space
self.exchange_names.append(self.exchange_space)
self.exchange_points.append(self.exchange_point)
pid = self.process_dispatcher.schedule_process(self.process_definitions['ingestion_worker'],configuration=config)
log.debug("the ingestion worker process id: %s", pid)
self.pids.append(pid)
self.addCleanup(self.cleaning_up)
def cleaning_up(self):
for pid in self.pids:
log.debug("number of pids to be terminated: %s", len(self.pids))
try:
self.process_dispatcher.cancel_process(pid)
log.debug("Terminated the process: %s", pid)
except:
log.debug("could not terminate the process id: %s" % pid)
IngestionManagementIntTest.clean_subscriptions()
for xn in self.exchange_names:
xni = self.container.ex_manager.create_xn_queue(xn)
xni.delete()
for xp in self.exchange_points:
xpi = self.container.ex_manager.create_xp(xp)
xpi.delete()
def get_datastore(self, dataset_id):
dataset = self.dataset_management.read_dataset(dataset_id)
datastore_name = dataset.datastore_name
datastore = self.container.datastore_manager.get_datastore(datastore_name, DataStore.DS_PROFILE.SCIDATA)
return datastore
@attr('EXT')
@attr('PREP')
def test_create_data_product(self):
#------------------------------------------------------------------------------------------------
# create a stream definition for the data from the ctd simulator
#------------------------------------------------------------------------------------------------
parameter_dictionary = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict')
ctd_stream_def_id = self.pubsubcli.create_stream_definition(name='Simulated CTD data', parameter_dictionary_id=parameter_dictionary._id)
log.debug("Created stream def id %s" % ctd_stream_def_id)
#------------------------------------------------------------------------------------------------
# test creating a new data product w/o a stream definition
#------------------------------------------------------------------------------------------------
dp_obj = IonObject(RT.DataProduct,
name='DP1',
description='some new dp')
dp_obj.geospatial_bounds.geospatial_latitude_limit_north = 10.0
dp_obj.geospatial_bounds.geospatial_latitude_limit_south = -10.0
dp_obj.geospatial_bounds.geospatial_longitude_limit_east = 10.0
dp_obj.geospatial_bounds.geospatial_longitude_limit_west = -10.0
dp_obj.ooi_product_name = "PRODNAME"
#------------------------------------------------------------------------------------------------
# Create a set of ParameterContext objects to define the parameters in the coverage, add each to the ParameterDictionary
#------------------------------------------------------------------------------------------------
dp_id = self.dpsc_cli.create_data_product( data_product= dp_obj,
stream_definition_id=ctd_stream_def_id)
# Assert that the data product has an associated stream at this stage
stream_ids, _ = self.rrclient.find_objects(dp_id, PRED.hasStream, RT.Stream, True)
self.assertNotEquals(len(stream_ids), 0)
# Assert that the data product has an associated stream def at this stage
stream_ids, _ = self.rrclient.find_objects(dp_id, PRED.hasStreamDefinition, RT.StreamDefinition, True)
self.assertNotEquals(len(stream_ids), 0)
self.dpsc_cli.activate_data_product_persistence(dp_id)
dp_obj = self.dpsc_cli.read_data_product(dp_id)
self.assertIsNotNone(dp_obj)
self.assertEquals(dp_obj.geospatial_point_center.lat, 0.0)
log.debug('Created data product %s', dp_obj)
#------------------------------------------------------------------------------------------------
# test creating a new data product with a stream definition
#------------------------------------------------------------------------------------------------
log.debug('Creating new data product with a stream definition')
dp_obj = IonObject(RT.DataProduct,
name='DP2',
description='some new dp')
dp_id2 = self.dpsc_cli.create_data_product(dp_obj, ctd_stream_def_id)
self.dpsc_cli.activate_data_product_persistence(dp_id2)
log.debug('new dp_id = %s' % dp_id2)
#------------------------------------------------------------------------------------------------
#make sure data product is associated with stream def
#------------------------------------------------------------------------------------------------
streamdefs = []
streams, _ = self.rrclient.find_objects(dp_id2, PRED.hasStream, RT.Stream, True)
for s in streams:
log.debug("Checking stream %s" % s)
sdefs, _ = self.rrclient.find_objects(s, PRED.hasStreamDefinition, RT.StreamDefinition, True)
for sd in sdefs:
log.debug("Checking streamdef %s" % sd)
streamdefs.append(sd)
self.assertIn(ctd_stream_def_id, streamdefs)
group_names = self.dpsc_cli.get_data_product_group_list()
self.assertIn("PRODNAME", group_names)
#----------------------------------------------------------------------------------------
# Create users then notifications to this data product for each user
#----------------------------------------------------------------------------------------
# user_1
user_1 = UserInfo()
user_1.name = 'user_1'
user_1.contact.email = '*****@*****.**'
# user_2
user_2 = UserInfo()
user_2.name = 'user_2'
user_2.contact.email = '*****@*****.**'
#user1 is a complete user
self.subject = "/DC=org/DC=cilogon/C=US/O=ProtectNetwork/CN=Roger Unwin A254"
actor_identity_obj = IonObject("ActorIdentity", {"name": self.subject})
actor_id = self.identcli.create_actor_identity(actor_identity_obj)
user_credentials_obj = IonObject("UserCredentials", {"name": self.subject})
self.identcli.register_user_credentials(actor_id, user_credentials_obj)
user_id_1 = self.identcli.create_user_info(actor_id, user_1)
user_id_2, _ = self.rrclient.create(user_2)
delivery_config1a = IonObject(OT.DeliveryConfiguration, email='*****@*****.**', mode=DeliveryModeEnum.EMAIL, frequency=NotificationFrequencyEnum.BATCH)
delivery_config1b = IonObject(OT.DeliveryConfiguration, email='*****@*****.**', mode=DeliveryModeEnum.EMAIL, frequency=NotificationFrequencyEnum.BATCH)
notification_request_1 = NotificationRequest( name = "notification_1",
origin=dp_id,
origin_type="type_1",
event_type=OT.ResourceLifecycleEvent,
disabled_by_system = False,
delivery_configurations=[delivery_config1a, delivery_config1b])
delivery_config2a = IonObject(OT.DeliveryConfiguration, email='*****@*****.**', mode=DeliveryModeEnum.EMAIL, frequency=NotificationFrequencyEnum.BATCH)
delivery_config2b = IonObject(OT.DeliveryConfiguration, email='*****@*****.**', mode=DeliveryModeEnum.EMAIL, frequency=NotificationFrequencyEnum.BATCH)
notification_request_2 = NotificationRequest( name = "notification_2",
origin=dp_id,
origin_type="type_2",
disabled_by_system = False,
event_type=OT.DetectionEvent,
delivery_configurations=[delivery_config2a, delivery_config2b])
notification_request_1_id = self.unsc.create_notification(notification=notification_request_1, user_id=user_id_1)
notification_request_2_id = self.unsc.create_notification(notification=notification_request_2, user_id=user_id_2)
self.unsc.delete_notification(notification_request_1_id)
# test reading a non-existent data product
log.debug('reading non-existent data product')
with self.assertRaises(NotFound):
dp_obj = self.dpsc_cli.read_data_product('some_fake_id')
# update a data product (tests read also)
log.debug('Updating data product')
# first get the existing dp object
dp_obj = self.dpsc_cli.read_data_product(dp_id)
# now tweak the object
dp_obj.description = 'the very first dp'
dp_obj.geospatial_bounds.geospatial_latitude_limit_north = 20.0
dp_obj.geospatial_bounds.geospatial_latitude_limit_south = -20.0
dp_obj.geospatial_bounds.geospatial_longitude_limit_east = 20.0
dp_obj.geospatial_bounds.geospatial_longitude_limit_west = -20.0
# now write the dp back to the registry
update_result = self.dpsc_cli.update_data_product(dp_obj)
# now get the dp back to see if it was updated
dp_obj = self.dpsc_cli.read_data_product(dp_id)
self.assertEquals(dp_obj.description,'the very first dp')
self.assertEquals(dp_obj.geospatial_point_center.lat, 0.0)
log.debug('Updated data product %s', dp_obj)
#test extension
extended_product = self.dpsc_cli.get_data_product_extension(dp_id)
#validate that there is one active and one retired user notification for this data product
self.assertEqual(1, len(extended_product.computed.active_user_subscriptions.value))
self.assertEqual(1, len(extended_product.computed.past_user_subscriptions.value))
self.assertEqual(dp_id, extended_product._id)
self.assertEqual(ComputedValueAvailability.PROVIDED,
extended_product.computed.product_download_size_estimated.status)
self.assertEqual(0, extended_product.computed.product_download_size_estimated.value)
self.assertEqual(ComputedValueAvailability.PROVIDED,
extended_product.computed.parameters.status)
#log.debug("test_create_data_product: parameters %s" % extended_product.computed.parameters.value)
def ion_object_encoder(obj):
return obj.__dict__
#test prepare for create
data_product_data = self.dpsc_cli.prepare_data_product_support()
#print simplejson.dumps(data_product_data, default=ion_object_encoder, indent= 2)
self.assertEqual(data_product_data._id, "")
self.assertEqual(data_product_data.type_, OT.DataProductPrepareSupport)
self.assertEqual(len(data_product_data.associations['StreamDefinition'].resources), 2)
self.assertEqual(len(data_product_data.associations['Dataset'].resources), 0)
self.assertEqual(len(data_product_data.associations['StreamDefinition'].associated_resources), 0)
self.assertEqual(len(data_product_data.associations['Dataset'].associated_resources), 0)
#test prepare for update
data_product_data = self.dpsc_cli.prepare_data_product_support(dp_id)
#print simplejson.dumps(data_product_data, default=ion_object_encoder, indent= 2)
self.assertEqual(data_product_data._id, dp_id)
self.assertEqual(data_product_data.type_, OT.DataProductPrepareSupport)
self.assertEqual(len(data_product_data.associations['StreamDefinition'].resources), 2)
self.assertEqual(len(data_product_data.associations['Dataset'].resources), 1)
self.assertEqual(len(data_product_data.associations['StreamDefinition'].associated_resources), 1)
self.assertEqual(data_product_data.associations['StreamDefinition'].associated_resources[0].s, dp_id)
self.assertEqual(len(data_product_data.associations['Dataset'].associated_resources), 1)
self.assertEqual(data_product_data.associations['Dataset'].associated_resources[0].s, dp_id)
# now 'delete' the data product
log.debug("deleting data product: %s" % dp_id)
self.dpsc_cli.delete_data_product(dp_id)
# Assert that there are no associated streams leftover after deleting the data product
stream_ids, assoc_ids = self.rrclient.find_objects(dp_id, PRED.hasStream, RT.Stream, True)
self.assertEquals(len(stream_ids), 0)
self.assertEquals(len(assoc_ids), 0)
self.dpsc_cli.force_delete_data_product(dp_id)
# now try to get the deleted dp object
with self.assertRaises(NotFound):
dp_obj = self.dpsc_cli.read_data_product(dp_id)
# Get the events corresponding to the data product
ret = self.unsc.get_recent_events(resource_id=dp_id)
events = ret.value
for event in events:
log.debug("event time: %s" % event.ts_created)
self.assertTrue(len(events) > 0)
def test_data_product_stream_def(self):
pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
ctd_stream_def_id = self.pubsubcli.create_stream_definition(name='Simulated CTD data', parameter_dictionary_id=pdict_id)
dp_obj = IonObject(RT.DataProduct,
name='DP1',
description='some new dp')
dp_id = self.dpsc_cli.create_data_product(data_product= dp_obj,
stream_definition_id=ctd_stream_def_id)
stream_def_id = self.dpsc_cli.get_data_product_stream_definition(dp_id)
self.assertEquals(ctd_stream_def_id, stream_def_id)
def test_derived_data_product(self):
pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
ctd_stream_def_id = self.pubsubcli.create_stream_definition(name='ctd parsed', parameter_dictionary_id=pdict_id)
self.addCleanup(self.pubsubcli.delete_stream_definition, ctd_stream_def_id)
dp = DataProduct(name='Instrument DP')
dp_id = self.dpsc_cli.create_data_product(dp, stream_definition_id=ctd_stream_def_id)
self.addCleanup(self.dpsc_cli.force_delete_data_product, dp_id)
self.dpsc_cli.activate_data_product_persistence(dp_id)
self.addCleanup(self.dpsc_cli.suspend_data_product_persistence, dp_id)
dataset_ids, _ = self.rrclient.find_objects(subject=dp_id, predicate=PRED.hasDataset, id_only=True)
if not dataset_ids:
raise NotFound("Data Product %s dataset does not exist" % str(dp_id))
dataset_id = dataset_ids[0]
# Make the derived data product
simple_stream_def_id = self.pubsubcli.create_stream_definition(name='TEMPWAT stream def', parameter_dictionary_id=pdict_id, available_fields=['time','temp'])
tempwat_dp = DataProduct(name='TEMPWAT', category=DataProductTypeEnum.DERIVED)
tempwat_dp_id = self.dpsc_cli.create_data_product(tempwat_dp, stream_definition_id=simple_stream_def_id, parent_data_product_id=dp_id)
self.addCleanup(self.dpsc_cli.delete_data_product, tempwat_dp_id)
# Check that the streams associated with the data product are persisted with
stream_ids, _ = self.rrclient.find_objects(dp_id,PRED.hasStream,RT.Stream,True)
for stream_id in stream_ids:
self.assertTrue(self.ingestclient.is_persisted(stream_id))
stream_id = stream_ids[0]
route = self.pubsubcli.read_stream_route(stream_id=stream_id)
rdt = RecordDictionaryTool(stream_definition_id=ctd_stream_def_id)
rdt['time'] = np.arange(20)
rdt['temp'] = np.arange(20)
rdt['pressure'] = np.arange(20)
publisher = StandaloneStreamPublisher(stream_id,route)
dataset_modified = Event()
def cb(*args, **kwargs):
dataset_modified.set()
es = EventSubscriber(event_type=OT.DatasetModified, callback=cb, origin=dataset_id, auto_delete=True)
es.start()
self.addCleanup(es.stop)
publisher.publish(rdt.to_granule())
self.assertTrue(dataset_modified.wait(30))
tempwat_dataset_ids, _ = self.rrclient.find_objects(tempwat_dp_id, PRED.hasDataset, id_only=True)
tempwat_dataset_id = tempwat_dataset_ids[0]
granule = self.data_retriever.retrieve(tempwat_dataset_id, delivery_format=simple_stream_def_id)
rdt = RecordDictionaryTool.load_from_granule(granule)
np.testing.assert_array_equal(rdt['time'], np.arange(20))
self.assertEquals(set(rdt.fields), set(['time','temp']))
def test_activate_suspend_data_product(self):
#------------------------------------------------------------------------------------------------
# create a stream definition for the data from the ctd simulator
#------------------------------------------------------------------------------------------------
pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
ctd_stream_def_id = self.pubsubcli.create_stream_definition(name='Simulated CTD data', parameter_dictionary_id=pdict_id)
log.debug("Created stream def id %s" % ctd_stream_def_id)
#------------------------------------------------------------------------------------------------
# test creating a new data product w/o a stream definition
#------------------------------------------------------------------------------------------------
# Construct temporal and spatial Coordinate Reference System objects
dp_obj = IonObject(RT.DataProduct,
name='DP1',
description='some new dp')
log.debug("Created an IonObject for a data product: %s" % dp_obj)
#------------------------------------------------------------------------------------------------
# Create a set of ParameterContext objects to define the parameters in the coverage, add each to the ParameterDictionary
#------------------------------------------------------------------------------------------------
dp_id = self.dpsc_cli.create_data_product(data_product= dp_obj,
stream_definition_id=ctd_stream_def_id)
#------------------------------------------------------------------------------------------------
# Subscribe to persist events
#------------------------------------------------------------------------------------------------
queue = gevent.queue.Queue()
def info_event_received(message, headers):
queue.put(message)
es = EventSubscriber(event_type=OT.InformationContentStatusEvent, callback=info_event_received, origin=dp_id, auto_delete=True)
es.start()
self.addCleanup(es.stop)
#------------------------------------------------------------------------------------------------
# test activate and suspend data product persistence
#------------------------------------------------------------------------------------------------
self.dpsc_cli.activate_data_product_persistence(dp_id)
dp_obj = self.dpsc_cli.read_data_product(dp_id)
self.assertIsNotNone(dp_obj)
dataset_ids, _ = self.rrclient.find_objects(subject=dp_id, predicate=PRED.hasDataset, id_only=True)
if not dataset_ids:
raise NotFound("Data Product %s dataset does not exist" % str(dp_id))
dataset_id = dataset_ids[0]
# Check that the streams associated with the data product are persisted with
stream_ids, _ = self.rrclient.find_objects(dp_id,PRED.hasStream,RT.Stream,True)
for stream_id in stream_ids:
self.assertTrue(self.ingestclient.is_persisted(stream_id))
stream_id = stream_ids[0]
route = self.pubsubcli.read_stream_route(stream_id=stream_id)
rdt = RecordDictionaryTool(stream_definition_id=ctd_stream_def_id)
rdt['time'] = np.arange(20)
rdt['temp'] = np.arange(20)
publisher = StandaloneStreamPublisher(stream_id,route)
dataset_modified = Event()
def cb(*args, **kwargs):
dataset_modified.set()
es = EventSubscriber(event_type=OT.DatasetModified, callback=cb, origin=dataset_id, auto_delete=True)
es.start()
self.addCleanup(es.stop)
publisher.publish(rdt.to_granule())
self.assertTrue(dataset_modified.wait(30))
#--------------------------------------------------------------------------------
# Now get the data in one chunk using an RPC Call to start_retreive
#--------------------------------------------------------------------------------
replay_data = self.data_retriever.retrieve(dataset_ids[0])
self.assertIsInstance(replay_data, Granule)
log.debug("The data retriever was able to replay the dataset that was attached to the data product "
"we wanted to be persisted. Therefore the data product was indeed persisted with "
"otherwise we could not have retrieved its dataset using the data retriever. Therefore "
"this demonstration shows that L4-CI-SA-RQ-267 is satisfied: 'Data product management shall persist data products'")
data_product_object = self.rrclient.read(dp_id)
self.assertEquals(data_product_object.name,'DP1')
self.assertEquals(data_product_object.description,'some new dp')
log.debug("Towards L4-CI-SA-RQ-308: 'Data product management shall persist data product metadata'. "
" Attributes in create for the data product obj, name= '%s', description='%s', match those of object from the "
"resource registry, name='%s', desc='%s'" % (dp_obj.name, dp_obj.description,data_product_object.name,
data_product_object.description))
#------------------------------------------------------------------------------------------------
# test suspend data product persistence
#------------------------------------------------------------------------------------------------
self.dpsc_cli.suspend_data_product_persistence(dp_id)
dataset_modified.clear()
rdt['time'] = np.arange(20,40)
publisher.publish(rdt.to_granule())
self.assertFalse(dataset_modified.wait(2))
self.dpsc_cli.activate_data_product_persistence(dp_id)
dataset_modified.clear()
publisher.publish(rdt.to_granule())
self.assertTrue(dataset_modified.wait(30))
granule = self.data_retriever.retrieve(dataset_id)
rdt = RecordDictionaryTool.load_from_granule(granule)
np.testing.assert_array_almost_equal(rdt['time'], np.arange(40))
dataset_ids, _ = self.rrclient.find_objects(dp_id, PRED.hasDataset, id_only=True)
self.assertEquals(len(dataset_ids), 1)
self.dpsc_cli.suspend_data_product_persistence(dp_id)
self.dpsc_cli.force_delete_data_product(dp_id)
# now try to get the deleted dp object
with self.assertRaises(NotFound):
dp_obj = self.rrclient.read(dp_id)
info_event_counter = 0
runtime = 0
starttime = time.time()
caught_events = []
#check that the four InfoStatusEvents were received
while info_event_counter < 4 and runtime < 60 :
a = queue.get(timeout=60)
caught_events.append(a)
info_event_counter += 1
runtime = time.time() - starttime
self.assertEquals(info_event_counter, 4)
class TestCTDTransformsIntegration(IonIntegrationTestCase):
pdict_id = None
def setUp(self):
# Start container
#print 'instantiating container'
self._start_container()
#container = Container()
#print 'starting container'
#container.start()
#print 'started container
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
print 'started services'
# Now create client to DataProductManagementService
self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
self.damsclient = DataAcquisitionManagementServiceClient(node=self.container.node)
self.pubsubclient = PubsubManagementServiceClient(node=self.container.node)
self.ingestclient = IngestionManagementServiceClient(node=self.container.node)
self.imsclient = InstrumentManagementServiceClient(node=self.container.node)
self.dataproductclient = DataProductManagementServiceClient(node=self.container.node)
self.dataprocessclient = DataProcessManagementServiceClient(node=self.container.node)
self.datasetclient = DatasetManagementServiceClient(node=self.container.node)
self.processdispatchclient = ProcessDispatcherServiceClient(node=self.container.node)
self.dataset_management = self.datasetclient
def create_logger(self, name, stream_id=''):
# logger process
producer_definition = ProcessDefinition(name=name+'_logger')
producer_definition.executable = {
'module':'ion.processes.data.stream_granule_logger',
'class':'StreamGranuleLogger'
}
logger_procdef_id = self.processdispatchclient.create_process_definition(process_definition=producer_definition)
configuration = {
'process':{
'stream_id':stream_id,
}
}
pid = self.processdispatchclient.schedule_process(process_definition_id= logger_procdef_id, configuration=configuration)
return pid
def _create_instrument_model(self):
instModel_obj = IonObject( RT.InstrumentModel,
name='SBE37IMModel',
description="SBE37IMModel" )
instModel_id = self.imsclient.create_instrument_model(instModel_obj)
return instModel_id
def _create_instrument_agent(self, instModel_id):
raw_config = StreamConfiguration(stream_name='raw', parameter_dictionary_name='ctd_raw_param_dict')
parsed_config = StreamConfiguration(stream_name='parsed', parameter_dictionary_name='ctd_parsed_param_dict')
instAgent_obj = IonObject(RT.InstrumentAgent,
name='agent007',
description="SBE37IMAgent",
driver_uri=DRV_URI_GOOD,
stream_configurations = [raw_config, parsed_config] )
instAgent_id = self.imsclient.create_instrument_agent(instAgent_obj)
self.imsclient.assign_instrument_model_to_instrument_agent(instModel_id, instAgent_id)
return instAgent_id
def _create_instrument_device(self, instModel_id):
instDevice_obj = IonObject(RT.InstrumentDevice, name='SBE37IMDevice', description="SBE37IMDevice", serial_number="12345" )
instDevice_id = self.imsclient.create_instrument_device(instrument_device=instDevice_obj)
self.imsclient.assign_instrument_model_to_instrument_device(instModel_id, instDevice_id)
log.debug("test_activateInstrumentSample: new InstrumentDevice id = %s (SA Req: L4-CI-SA-RQ-241) ", instDevice_id)
return instDevice_id
def _create_instrument_agent_instance(self, instAgent_id,instDevice_id):
port_agent_config = {
'device_addr': CFG.device.sbe37.host,
'device_port': CFG.device.sbe37.port,
'process_type': PortAgentProcessType.UNIX,
'binary_path': "port_agent",
'port_agent_addr': 'localhost',
'command_port': CFG.device.sbe37.port_agent_cmd_port,
'data_port': CFG.device.sbe37.port_agent_data_port,
'log_level': 5,
'type': PortAgentType.ETHERNET
}
instAgentInstance_obj = IonObject(RT.InstrumentAgentInstance, name='SBE37IMAgentInstance',
description="SBE37IMAgentInstance",
port_agent_config = port_agent_config)
instAgentInstance_id = self.imsclient.create_instrument_agent_instance(instAgentInstance_obj,
instAgent_id,
instDevice_id)
return instAgentInstance_id
def _create_param_dicts(self):
tdom, sdom = time_series_domain()
self.sdom = sdom.dump()
self.tdom = tdom.dump()
self.pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
def _create_input_data_products(self, ctd_stream_def_id, instDevice_id, ):
dp_obj = IonObject(RT.DataProduct,
name='the parsed data',
description='ctd stream test',
temporal_domain = self.tdom,
spatial_domain = self.sdom)
ctd_parsed_data_product = self.dataproductclient.create_data_product(dp_obj, ctd_stream_def_id)
self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=ctd_parsed_data_product)
self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_parsed_data_product)
#---------------------------------------------------------------------------
# Retrieve the id of the OUTPUT stream from the out Data Product
#---------------------------------------------------------------------------
stream_ids, _ = self.rrclient.find_objects(ctd_parsed_data_product, PRED.hasStream, None, True)
pid = self.create_logger('ctd_parsed', stream_ids[0] )
self.loggerpids.append(pid)
#---------------------------------------------------------------------------
# Create CTD Raw as the second data product
#---------------------------------------------------------------------------
if not self.pdict_id:
self._create_param_dicts()
raw_stream_def_id = self.pubsubclient.create_stream_definition(name='SBE37_RAW', parameter_dictionary_id=self.pdict_id)
dp_obj = IonObject(RT.DataProduct,
name='the raw data',
description='raw stream test',
temporal_domain = self.tdom,
spatial_domain = self.sdom)
ctd_raw_data_product = self.dataproductclient.create_data_product(dp_obj, raw_stream_def_id)
self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=ctd_raw_data_product)
self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_raw_data_product)
#---------------------------------------------------------------------------
# Retrieve the id of the OUTPUT stream from the out Data Product
#---------------------------------------------------------------------------
stream_ids, _ = self.rrclient.find_objects(ctd_raw_data_product, PRED.hasStream, None, True)
#---------------------------------------------------------------------------
# Retrieve the id of the OUTPUT stream from the out Data Product
#---------------------------------------------------------------------------
stream_ids, _ = self.rrclient.find_objects(ctd_raw_data_product, PRED.hasStream, None, True)
print 'Data product streams2 = ', stream_ids
return ctd_parsed_data_product
def _create_data_process_definitions(self):
#-------------------------------------------------------------------------------------
# L0 Conductivity - Temperature - Pressure: Data Process Definition
#-------------------------------------------------------------------------------------
dpd_obj = IonObject(RT.DataProcessDefinition,
name='ctd_L0_all',
description='transform ctd package into three separate L0 streams',
module='ion.processes.data.transforms.ctd.ctd_L0_all',
class_name='ctd_L0_all')
self.ctd_L0_all_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
#-------------------------------------------------------------------------------------
# L1 Conductivity: Data Process Definition
#-------------------------------------------------------------------------------------
dpd_obj = IonObject(RT.DataProcessDefinition,
name='ctd_L1_conductivity',
description='create the L1 conductivity data product',
module='ion.processes.data.transforms.ctd.ctd_L1_conductivity',
class_name='CTDL1ConductivityTransform')
self.ctd_L1_conductivity_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
#-------------------------------------------------------------------------------------
# L1 Pressure: Data Process Definition
#-------------------------------------------------------------------------------------
dpd_obj = IonObject(RT.DataProcessDefinition,
name='ctd_L1_pressure',
description='create the L1 pressure data product',
module='ion.processes.data.transforms.ctd.ctd_L1_pressure',
class_name='CTDL1PressureTransform')
self.ctd_L1_pressure_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
#-------------------------------------------------------------------------------------
# L1 Temperature: Data Process Definition
#-------------------------------------------------------------------------------------
dpd_obj = IonObject(RT.DataProcessDefinition,
name='ctd_L1_temperature',
description='create the L1 temperature data product',
module='ion.processes.data.transforms.ctd.ctd_L1_temperature',
class_name='CTDL1TemperatureTransform')
self.ctd_L1_temperature_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
#-------------------------------------------------------------------------------------
# L2 Salinity: Data Process Definition
#-------------------------------------------------------------------------------------
dpd_obj = IonObject(RT.DataProcessDefinition,
name='ctd_L2_salinity',
description='create the L1 temperature data product',
module='ion.processes.data.transforms.ctd.ctd_L2_salinity',
class_name='SalinityTransform')
self.ctd_L2_salinity_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
#-------------------------------------------------------------------------------------
# L2 Density: Data Process Definition
#-------------------------------------------------------------------------------------
dpd_obj = IonObject(RT.DataProcessDefinition,
name='ctd_L2_density',
description='create the L1 temperature data product',
module='ion.processes.data.transforms.ctd.ctd_L2_density',
class_name='DensityTransform')
self.ctd_L2_density_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
return self.ctd_L0_all_dprocdef_id, self.ctd_L1_conductivity_dprocdef_id,\
self.ctd_L1_pressure_dprocdef_id,self.ctd_L1_temperature_dprocdef_id, \
self.ctd_L2_salinity_dprocdef_id, self.ctd_L2_density_dprocdef_id
def _create_stream_definitions(self):
if not self.pdict_id:
self._create_param_dicts()
outgoing_stream_l0_conductivity_id = self.pubsubclient.create_stream_definition(name='L0_Conductivity', parameter_dictionary_id=self.pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_conductivity_id, self.ctd_L0_all_dprocdef_id, binding='conductivity' )
outgoing_stream_l0_pressure_id = self.pubsubclient.create_stream_definition(name='L0_Pressure', parameter_dictionary_id=self.pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_pressure_id, self.ctd_L0_all_dprocdef_id, binding= 'pressure' )
outgoing_stream_l0_temperature_id = self.pubsubclient.create_stream_definition(name='L0_Temperature', parameter_dictionary_id=self.pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_temperature_id, self.ctd_L0_all_dprocdef_id, binding='temperature' )
return outgoing_stream_l0_conductivity_id, outgoing_stream_l0_pressure_id, outgoing_stream_l0_temperature_id
def _create_l0_output_data_products(self, outgoing_stream_l0_conductivity_id, outgoing_stream_l0_pressure_id, outgoing_stream_l0_temperature_id):
out_data_prods = []
ctd_l0_conductivity_output_dp_obj = IonObject( RT.DataProduct,
name='L0_Conductivity',
description='transform output conductivity',
temporal_domain = self.tdom,
spatial_domain = self.sdom)
self.ctd_l0_conductivity_output_dp_id = self.dataproductclient.create_data_product(ctd_l0_conductivity_output_dp_obj,
outgoing_stream_l0_conductivity_id)
out_data_prods.append(self.ctd_l0_conductivity_output_dp_id)
self.dataproductclient.activate_data_product_persistence(data_product_id=self.ctd_l0_conductivity_output_dp_id)
ctd_l0_pressure_output_dp_obj = IonObject( RT.DataProduct,
name='L0_Pressure',
description='transform output pressure',
temporal_domain = self.tdom,
spatial_domain = self.sdom)
self.ctd_l0_pressure_output_dp_id = self.dataproductclient.create_data_product(ctd_l0_pressure_output_dp_obj,
outgoing_stream_l0_pressure_id)
out_data_prods.append(self.ctd_l0_pressure_output_dp_id)
self.dataproductclient.activate_data_product_persistence(data_product_id=self.ctd_l0_pressure_output_dp_id)
ctd_l0_temperature_output_dp_obj = IonObject( RT.DataProduct,
name='L0_Temperature',
description='transform output temperature',
temporal_domain = self.tdom,
spatial_domain = self.sdom)
self.ctd_l0_temperature_output_dp_id = self.dataproductclient.create_data_product(ctd_l0_temperature_output_dp_obj,
outgoing_stream_l0_temperature_id)
out_data_prods.append(self.ctd_l0_temperature_output_dp_id)
self.dataproductclient.activate_data_product_persistence(data_product_id=self.ctd_l0_temperature_output_dp_id)
return out_data_prods
def _create_l1_out_data_products(self):
ctd_l1_conductivity_output_dp_obj = IonObject( RT.DataProduct,
name='L1_Conductivity',
description='transform output L1 conductivity',
temporal_domain = self.tdom,
spatial_domain = self.sdom)
self.ctd_l1_conductivity_output_dp_id = self.dataproductclient.create_data_product(ctd_l1_conductivity_output_dp_obj,
self.outgoing_stream_l1_conductivity_id)
self.dataproductclient.activate_data_product_persistence(data_product_id=self.ctd_l1_conductivity_output_dp_id)
# Retrieve the id of the OUTPUT stream from the out Data Product and add to granule logger
stream_ids, _ = self.rrclient.find_objects(self.ctd_l1_conductivity_output_dp_id, PRED.hasStream, None, True)
pid = self.create_logger('ctd_l1_conductivity', stream_ids[0] )
self.loggerpids.append(pid)
ctd_l1_pressure_output_dp_obj = IonObject( RT.DataProduct,
name='L1_Pressure',
description='transform output L1 pressure',
temporal_domain = self.tdom,
spatial_domain = self.sdom)
self.ctd_l1_pressure_output_dp_id = self.dataproductclient.create_data_product(ctd_l1_pressure_output_dp_obj,
self.outgoing_stream_l1_pressure_id)
self.dataproductclient.activate_data_product_persistence(data_product_id=self.ctd_l1_pressure_output_dp_id)
# Retrieve the id of the OUTPUT stream from the out Data Product and add to granule logger
stream_ids, _ = self.rrclient.find_objects(self.ctd_l1_pressure_output_dp_id, PRED.hasStream, None, True)
pid = self.create_logger('ctd_l1_pressure', stream_ids[0] )
self.loggerpids.append(pid)
ctd_l1_temperature_output_dp_obj = IonObject( RT.DataProduct,
name='L1_Temperature',
description='transform output L1 temperature',
temporal_domain = self.tdom,
spatial_domain = self.sdom)
self.ctd_l1_temperature_output_dp_id = self.dataproductclient.create_data_product(ctd_l1_temperature_output_dp_obj,
self.outgoing_stream_l1_temperature_id)
self.dataproductclient.activate_data_product_persistence(data_product_id=self.ctd_l1_temperature_output_dp_id)
# Retrieve the id of the OUTPUT stream from the out Data Product and add to granule logger
stream_ids, _ = self.rrclient.find_objects(self.ctd_l1_temperature_output_dp_id, PRED.hasStream, None, True)
pid = self.create_logger('ctd_l1_temperature', stream_ids[0] )
self.loggerpids.append(pid)
def _create_l2_out_data_products(self):
#-------------------------------
# L2 Salinity - Density: Output Data Products
#-------------------------------
if not self.pdict_id: self._create_param_dicts()
outgoing_stream_l2_salinity_id = self.pubsubclient.create_stream_definition(name='L2_salinity', parameter_dictionary_id=self.pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l2_salinity_id, self.ctd_L2_salinity_dprocdef_id, binding='salinity' )
outgoing_stream_l2_density_id = self.pubsubclient.create_stream_definition(name='L2_Density', parameter_dictionary_id=self.pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l2_density_id, self.ctd_L2_density_dprocdef_id, binding='density' )
ctd_l2_salinity_output_dp_obj = IonObject(RT.DataProduct,
name='L2_Salinity',
description='transform output L2 salinity',
temporal_domain = self.tdom,
spatial_domain = self.sdom)
self.ctd_l2_salinity_output_dp_id = self.dataproductclient.create_data_product(ctd_l2_salinity_output_dp_obj,
outgoing_stream_l2_salinity_id)
self.dataproductclient.activate_data_product_persistence(data_product_id=self.ctd_l2_salinity_output_dp_id)
# Retrieve the id of the OUTPUT stream from the out Data Product and add to granule logger
stream_ids, _ = self.rrclient.find_objects(self.ctd_l2_salinity_output_dp_id, PRED.hasStream, None, True)
pid = self.create_logger('ctd_l2_salinity', stream_ids[0] )
self.loggerpids.append(pid)
ctd_l2_density_output_dp_obj = IonObject( RT.DataProduct,
name='L2_Density',
description='transform output pressure',
temporal_domain = self.tdom,
spatial_domain = self.sdom)
self.ctd_l2_density_output_dp_id = self.dataproductclient.create_data_product(ctd_l2_density_output_dp_obj,
outgoing_stream_l2_density_id)
self.dataproductclient.activate_data_product_persistence(data_product_id=self.ctd_l2_density_output_dp_id)
# Retrieve the id of the OUTPUT stream from the out Data Product and add to granule logger
stream_ids, _ = self.rrclient.find_objects(self.ctd_l2_density_output_dp_id, PRED.hasStream, None, True)
pid = self.create_logger('ctd_l2_density', stream_ids[0] )
self.loggerpids.append(pid)
@unittest.skip('This test errors on coi-nightly, may be OBE.')
def test_createTransformsThenActivateInstrument(self):
self.loggerpids = []
#-------------------------------------------------------------------------------------
# Create InstrumentModel
#-------------------------------------------------------------------------------------
instModel_id = self._create_instrument_model()
#-------------------------------------------------------------------------------------
# Create InstrumentAgent
#-------------------------------------------------------------------------------------
instAgent_id = self._create_instrument_agent(instModel_id)
#-------------------------------------------------------------------------------------
# Create InstrumentDevice
#-------------------------------------------------------------------------------------
instDevice_id = self._create_instrument_device(instModel_id)
#-------------------------------------------------------------------------------------
# Create Instrument Agent Instance
#-------------------------------------------------------------------------------------
instAgentInstance_id = self._create_instrument_agent_instance(instAgent_id,instDevice_id )
#-------------------------------------------------------------------------------------
# create a stream definition for the data from the ctd simulator
#-------------------------------------------------------------------------------------
self._create_param_dicts()
ctd_stream_def_id = self.pubsubclient.create_stream_definition(name='SBE37_CDM',
parameter_dictionary_id=self.pdict_id)
#-------------------------------------------------------------------------------------
# Create two data products
#-------------------------------------------------------------------------------------
ctd_parsed_data_product = self._create_input_data_products(ctd_stream_def_id,instDevice_id)
#-------------------------------------------------------------------------------------
# Create data process definitions
#-------------------------------------------------------------------------------------
self._create_data_process_definitions()
#-------------------------------------------------------------------------------------
# L0 Conductivity - Temperature - Pressure: Output Data Products
#-------------------------------------------------------------------------------------
outgoing_stream_l0_conductivity_id, \
outgoing_stream_l0_pressure_id, \
outgoing_stream_l0_temperature_id = self._create_stream_definitions()
self.out_prod_ids = self._create_l0_output_data_products(outgoing_stream_l0_conductivity_id,outgoing_stream_l0_pressure_id,outgoing_stream_l0_temperature_id)
self.outgoing_stream_l1_conductivity_id = self.pubsubclient.create_stream_definition(name='L1_conductivity', parameter_dictionary_id=self.pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(self.outgoing_stream_l1_conductivity_id, self.ctd_L1_conductivity_dprocdef_id, binding='conductivity' )
self.outgoing_stream_l1_pressure_id = self.pubsubclient.create_stream_definition(name='L1_Pressure', parameter_dictionary_id=self.pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(self.outgoing_stream_l1_pressure_id, self.ctd_L1_pressure_dprocdef_id, binding='pressure' )
self.outgoing_stream_l1_temperature_id = self.pubsubclient.create_stream_definition(name='L1_Temperature', parameter_dictionary_id=self.pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(self.outgoing_stream_l1_temperature_id, self.ctd_L1_temperature_dprocdef_id, binding= 'temperature' )
self._create_l1_out_data_products()
self._create_l2_out_data_products()
#-------------------------------------------------------------------------------------
# L0 Conductivity - Temperature - Pressure: Create the data process
#-------------------------------------------------------------------------------------
ctd_l0_all_data_process_id = self.dataprocessclient.create_data_process(
data_process_definition_id = self.ctd_L0_all_dprocdef_id,
in_data_product_ids = [ctd_parsed_data_product],
out_data_product_ids = self.out_prod_ids)
self.dataprocessclient.activate_data_process(ctd_l0_all_data_process_id)
data_process = self.rrclient.read(ctd_l0_all_data_process_id)
process_ids, _ = self.rrclient.find_objects(subject=ctd_l0_all_data_process_id, predicate=PRED.hasProcess, id_only=True)
self.addCleanup(self.processdispatchclient.cancel_process,process_ids[0])
extended_process = self.dataprocessclient.get_data_process_extension(ctd_l0_all_data_process_id)
self.assertEquals(extended_process.computed.operational_state.status, ComputedValueAvailability.NOTAVAILABLE)
self.assertEquals(data_process.message_controllable, True)
#-------------------------------------------------------------------------------------
# L1 Conductivity: Create the data process
#-------------------------------------------------------------------------------------
l1_conductivity_data_process_id = self.dataprocessclient.create_data_process(self.ctd_L1_conductivity_dprocdef_id, [self.ctd_l0_conductivity_output_dp_id], [self.ctd_l1_conductivity_output_dp_id])
self.dataprocessclient.activate_data_process(l1_conductivity_data_process_id)
data_process = self.rrclient.read(l1_conductivity_data_process_id)
process_ids, _ = self.rrclient.find_objects(subject=l1_conductivity_data_process_id, predicate=PRED.hasProcess, id_only=True)
self.addCleanup(self.processdispatchclient.cancel_process,process_ids[0])
#-------------------------------------------------------------------------------------
# L1 Pressure: Create the data process
#-------------------------------------------------------------------------------------
l1_pressure_data_process_id = self.dataprocessclient.create_data_process(self.ctd_L1_pressure_dprocdef_id, [self.ctd_l0_pressure_output_dp_id], [self.ctd_l1_pressure_output_dp_id])
self.dataprocessclient.activate_data_process(l1_pressure_data_process_id)
data_process = self.rrclient.read(l1_pressure_data_process_id)
process_ids, _ = self.rrclient.find_objects(subject=l1_pressure_data_process_id, predicate=PRED.hasProcess, id_only=True)
self.addCleanup(self.processdispatchclient.cancel_process, process_ids[0])
#-------------------------------------------------------------------------------------
# L1 Temperature: Create the data process
#-------------------------------------------------------------------------------------
l1_temperature_all_data_process_id = self.dataprocessclient.create_data_process(self.ctd_L1_temperature_dprocdef_id, [self.ctd_l0_temperature_output_dp_id], [self.ctd_l1_temperature_output_dp_id])
self.dataprocessclient.activate_data_process(l1_temperature_all_data_process_id)
data_process = self.rrclient.read(l1_temperature_all_data_process_id)
process_ids, _ = self.rrclient.find_objects(subject=l1_temperature_all_data_process_id, predicate=PRED.hasProcess, id_only=True)
self.addCleanup(self.processdispatchclient.cancel_process, process_ids[0])
#-------------------------------------------------------------------------------------
# L2 Salinity: Create the data process
#-------------------------------------------------------------------------------------
l2_salinity_all_data_process_id = self.dataprocessclient.create_data_process(self.ctd_L2_salinity_dprocdef_id, [ctd_parsed_data_product], [self.ctd_l2_salinity_output_dp_id])
self.dataprocessclient.activate_data_process(l2_salinity_all_data_process_id)
data_process = self.rrclient.read(l2_salinity_all_data_process_id)
process_ids, _ = self.rrclient.find_objects(subject=l2_salinity_all_data_process_id, predicate=PRED.hasProcess, id_only=True)
self.addCleanup(self.processdispatchclient.cancel_process, process_ids[0])
#-------------------------------------------------------------------------------------
# L2 Density: Create the data process
#-------------------------------------------------------------------------------------
l2_density_all_data_process_id = self.dataprocessclient.create_data_process(self.ctd_L2_density_dprocdef_id, [ctd_parsed_data_product], [self.ctd_l2_density_output_dp_id])
self.dataprocessclient.activate_data_process(l2_density_all_data_process_id)
data_process = self.rrclient.read(l2_density_all_data_process_id)
process_ids, _ = self.rrclient.find_objects(subject=l2_density_all_data_process_id, predicate=PRED.hasProcess, id_only=True)
self.addCleanup(self.processdispatchclient.cancel_process, process_ids[0])
#-------------------------------------------------------------------------------------
# Launch InstrumentAgentInstance, connect to the resource agent client
#-------------------------------------------------------------------------------------
self.imsclient.start_instrument_agent_instance(instrument_agent_instance_id=instAgentInstance_id)
self.addCleanup(self.imsclient.stop_instrument_agent_instance,
instrument_agent_instance_id=instAgentInstance_id)
inst_agent_instance_obj= self.imsclient.read_instrument_agent_instance(instAgentInstance_id)
# Wait for instrument agent to spawn
gate = AgentProcessStateGate(self.processdispatchclient.read_process,
instDevice_id,
ProcessStateEnum.RUNNING)
self.assertTrue(gate.await(15), "The instrument agent instance did not spawn in 15 seconds")
# Start a resource agent client to talk with the instrument agent.
self._ia_client = ResourceAgentClient(instDevice_id, to_name=gate.process_id, process=FakeProcess())
#-------------------------------------------------------------------------------------
# Streaming
#-------------------------------------------------------------------------------------
cmd = AgentCommand(command=ResourceAgentEvent.INITIALIZE)
reply = self._ia_client.execute_agent(cmd)
self.assertTrue(reply.status == 0)
cmd = AgentCommand(command=ResourceAgentEvent.GO_ACTIVE)
reply = self._ia_client.execute_agent(cmd)
self.assertTrue(reply.status == 0)
cmd = AgentCommand(command=ResourceAgentEvent.GET_RESOURCE_STATE)
retval = self._ia_client.execute_agent(cmd)
state = retval.result
log.debug("(L4-CI-SA-RQ-334): current state after sending go_active command %s", str(state))
self.assertTrue(state, 'DRIVER_STATE_COMMAND')
cmd = AgentCommand(command=ResourceAgentEvent.RUN)
reply = self._ia_client.execute_agent(cmd)
self.assertTrue(reply.status == 0)
#todo ResourceAgentClient no longer has method set_param
# # Make sure the sampling rate and transmission are sane.
# params = {
# SBE37Parameter.NAVG : 1,
# SBE37Parameter.INTERVAL : 5,
# SBE37Parameter.TXREALTIME : True
# }
# self._ia_client.set_param(params)
#todo There is no ResourceAgentEvent attribute for go_streaming... so what should be the command for it?
cmd = AgentCommand(command=SBE37ProtocolEvent.START_AUTOSAMPLE)
retval = self._ia_client.execute_resource(cmd)
# This gevent sleep is there to test the autosample time, which will show something different from default
# only if the instrument runs for over a minute
gevent.sleep(90)
extended_instrument = self.imsclient.get_instrument_device_extension(instrument_device_id=instDevice_id)
self.assertIsInstance(extended_instrument.computed.uptime, ComputedStringValue)
autosample_string = extended_instrument.computed.uptime.value
autosampling_time = int(autosample_string.split()[4])
self.assertTrue(autosampling_time > 0)
cmd = AgentCommand(command=SBE37ProtocolEvent.STOP_AUTOSAMPLE)
retval = self._ia_client.execute_resource(cmd)
#todo There is no ResourceAgentEvent attribute for go_observatory... so what should be the command for it?
# log.debug("test_activateInstrumentStream: calling go_observatory")
# cmd = AgentCommand(command='go_observatory')
# reply = self._ia_client.execute_agent(cmd)
# cmd = AgentCommand(command='get_current_state')
# retval = self._ia_client.execute_agent(cmd)
# state = retval.result
# log.debug("test_activateInstrumentStream: return from go_observatory state %s", str(state))
cmd = AgentCommand(command=ResourceAgentEvent.RESET)
reply = self._ia_client.execute_agent(cmd)
self.assertTrue(reply.status == 0)
#-------------------------------------------------------------------------------------------------
# Cleanup processes
#-------------------------------------------------------------------------------------------------
for pid in self.loggerpids:
self.processdispatchclient.cancel_process(pid)
#--------------------------------------------------------------------------------
# Cleanup data products
#--------------------------------------------------------------------------------
dp_ids, _ = self.rrclient.find_resources(restype=RT.DataProduct, id_only=True)
for dp_id in dp_ids:
self.dataproductclient.delete_data_product(dp_id)
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)
# Now create client to DataProductManagementService
self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
self.damsclient = DataAcquisitionManagementServiceClient(node=self.container.node)
self.pubsubclient = PubsubManagementServiceClient(node=self.container.node)
self.ingestclient = IngestionManagementServiceClient(node=self.container.node)
self.imsclient = InstrumentManagementServiceClient(node=self.container.node)
self.dataproductclient = DataProductManagementServiceClient(node=self.container.node)
self.dataprocessclient = DataProcessManagementServiceClient(node=self.container.node)
self.datasetclient = DatasetManagementServiceClient(node=self.container.node)
self.workflowclient = WorkflowManagementServiceClient(node=self.container.node)
self.process_dispatcher = ProcessDispatcherServiceClient(node=self.container.node)
self.vis_client = VisualizationServiceClient(node=self.container.node)
self.ctd_stream_def = SBE37_CDM_stream_definition()
def validate_messages(self, msgs):
cc = self.container
assertions = self.assertTrue
rdt = RecordDictionaryTool.load_from_granule(msgs.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')
@unittest.skip("in progress")
def test_visualization_queue(self):
assertions = self.assertTrue
#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(
query=StreamQuery(data_product_stream_ids),
exchange_name = user_queue_name,
exchange_point = 'science_data',
name = "user visualization queue"
)
subscriber_registrar = StreamSubscriberRegistrar(container=self.container)
#subscriber = subscriber_registrar.create_subscriber(exchange_name=user_queue_name)
#subscriber.start()
#Using endpoint Subscriber directly; but should be a Stream-based subscriber that does nto require a process
#subscriber = Subscriber(from_name=(subscriber_registrar.XP, user_queue_name), callback=cb)
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()
#@unittest.skip("in progress")
def test_realtime_visualization(self):
assertions = self.assertTrue
# Build the workflow definition
workflow_def_obj = IonObject(RT.WorkflowDefinition, name='GoogleDT_Test_Workflow',description='Tests the workflow of converting stream data to Google DT')
#Add a transformation process definition
google_dt_procdef_id = self.create_google_dt_data_process_definition()
workflow_step_obj = IonObject('DataProcessWorkflowStep', data_process_definition_id=google_dt_procdef_id, persist_process_output_data=True)
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)
#Create the input data product
ctd_stream_id, ctd_parsed_data_product_id = self.create_ctd_input_stream_and_data_product()
#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=20)
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_params['in_product_type'] = 'google_dt'
vis_token = self.vis_client.initiate_realtime_visualization(data_product_id=workflow_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)
print 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)
print vis_data
self.vis_client.terminate_realtime_visualization_data(vis_token)
#Stop the workflow processes
self.workflowclient.terminate_data_process_workflow(workflow_id, False) # Should test true at some point
#Cleanup to make sure delete is correct.
self.workflowclient.delete_workflow_definition(workflow_def_id)
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()
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)
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 ProcessDispatcherEEAgentIntTest(ProcessDispatcherServiceIntTest):
"""Run the basic int tests again, with a different environment
"""
def setUp(self):
self.dashi = None
self._start_container()
from pyon.public import CFG
self.container_client = ContainerAgentClient(node=self.container.node,
name=self.container.name)
self.container = self.container_client._get_container_instance()
app = dict(name="process_dispatcher", processapp=("process_dispatcher",
"ion.services.cei.process_dispatcher_service",
"ProcessDispatcherService"))
self.container.start_app(app, config=pd_config)
self.rr_cli = self.container.resource_registry
self.pd_cli = ProcessDispatcherServiceClient(node=self.container.node)
self.process_definition = ProcessDefinition(name='test_process')
self.process_definition.executable = {'module': 'ion.services.cei.test.test_process_dispatcher',
'class': 'TestProcess'}
self.process_definition_id = self.pd_cli.create_process_definition(self.process_definition)
self._eea_pids = []
self._eea_pid_to_resource_id = {}
self._eea_pid_to_persistence_dir = {}
self._tmpdirs = []
self.dashi = get_dashi(uuid.uuid4().hex,
pd_config['processdispatcher']['dashi_uri'],
pd_config['processdispatcher']['dashi_exchange'],
sysname=CFG.get_safe("dashi.sysname")
)
#send a fake node_state message to PD's dashi binding.
self.node1_id = uuid.uuid4().hex
self._send_node_state("engine1", self.node1_id)
self._initial_eea_pid = self._start_eeagent(self.node1_id)
self.waiter = ProcessStateWaiter()
def _send_node_state(self, engine_id, node_id=None):
node_id = node_id or uuid.uuid4().hex
node_state = dict(node_id=node_id, state=InstanceState.RUNNING,
domain_id=domain_id_from_engine(engine_id))
self.dashi.fire(get_pd_dashi_name(), "node_state", args=node_state)
def _start_eeagent(self, node_id, resource_id=None, persistence_dir=None):
if not persistence_dir:
persistence_dir = tempfile.mkdtemp()
self._tmpdirs.append(persistence_dir)
resource_id = resource_id or uuid.uuid4().hex
agent_config = _get_eeagent_config(node_id, persistence_dir,
resource_id=resource_id)
pid = self.container_client.spawn_process(name="eeagent",
module="ion.agents.cei.execution_engine_agent",
cls="ExecutionEngineAgent", config=agent_config)
log.info('Agent pid=%s.', str(pid))
self._eea_pids.append(pid)
self._eea_pid_to_resource_id[pid] = resource_id
self._eea_pid_to_persistence_dir[pid] = persistence_dir
return pid
def _kill_eeagent(self, pid):
self.assertTrue(pid in self._eea_pids)
self.container.terminate_process(pid)
self._eea_pids.remove(pid)
del self._eea_pid_to_resource_id[pid]
del self._eea_pid_to_persistence_dir[pid]
def tearDown(self):
for pid in list(self._eea_pids):
self._kill_eeagent(pid)
for d in self._tmpdirs:
shutil.rmtree(d)
self.waiter.stop()
if self.dashi:
self.dashi.cancel()
def test_requested_ee(self):
# request non-default engine
process_target = ProcessTarget(execution_engine_id="engine2")
process_schedule = ProcessSchedule()
process_schedule.queueing_mode = ProcessQueueingMode.ALWAYS
process_schedule.target = process_target
pid = self.pd_cli.create_process(self.process_definition_id)
self.waiter.start()
self.pd_cli.schedule_process(self.process_definition_id,
process_schedule, process_id=pid)
self.waiter.await_state_event(pid, ProcessStateEnum.WAITING)
# request unknown engine, with NEVER queuing mode. The request
# should be rejected.
# verifies L4-CI-CEI-RQ52
process_target = ProcessTarget(execution_engine_id="not-a-real-ee")
process_schedule = ProcessSchedule()
process_schedule.queueing_mode = ProcessQueueingMode.NEVER
process_schedule.target = process_target
rejected_pid = self.pd_cli.create_process(self.process_definition_id)
self.pd_cli.schedule_process(self.process_definition_id,
process_schedule, process_id=rejected_pid)
self.waiter.await_state_event(rejected_pid, ProcessStateEnum.REJECTED)
# now add a node and eeagent for engine2. original process should leave
# queue and start running
node2_id = uuid.uuid4().hex
self._send_node_state("engine2", node2_id)
self._start_eeagent(node2_id)
self.waiter.await_state_event(pid, ProcessStateEnum.RUNNING)
# spawn another process. it should start immediately.
process_target = ProcessTarget(execution_engine_id="engine2")
process_schedule = ProcessSchedule()
process_schedule.queueing_mode = ProcessQueueingMode.NEVER
process_schedule.target = process_target
pid2 = self.pd_cli.create_process(self.process_definition_id)
self.pd_cli.schedule_process(self.process_definition_id,
process_schedule, process_id=pid2)
self.waiter.await_state_event(pid2, ProcessStateEnum.RUNNING)
# one more with node exclusive
process_target = ProcessTarget(execution_engine_id="engine2",
node_exclusive="hats")
process_schedule = ProcessSchedule()
process_schedule.queueing_mode = ProcessQueueingMode.NEVER
process_schedule.target = process_target
pid3 = self.pd_cli.create_process(self.process_definition_id)
self.pd_cli.schedule_process(self.process_definition_id,
process_schedule, process_id=pid3)
self.waiter.await_state_event(pid3, ProcessStateEnum.RUNNING)
# kill the processes for good
self.pd_cli.cancel_process(pid)
self.waiter.await_state_event(pid, ProcessStateEnum.TERMINATED)
self.pd_cli.cancel_process(pid2)
self.waiter.await_state_event(pid2, ProcessStateEnum.TERMINATED)
self.pd_cli.cancel_process(pid3)
self.waiter.await_state_event(pid3, ProcessStateEnum.TERMINATED)
def test_node_exclusive(self):
# the node_exclusive constraint is used to ensure multiple processes
# of the same "kind" each get a VM exclusive of each other. Other
# processes may run on these VMs, just not processes with the same
# node_exclusive tag. Since we cannot directly query the contents
# of each node in this test, we prove the capability by scheduling
# processes one by one and checking their state.
# verifies L4-CI-CEI-RQ121
# verifies L4-CI-CEI-RQ57
# first off, setUp() created a single node and eeagent.
# We schedule two processes with the same "abc" node_exclusive
# tag. Since there is only one node, the first process should run
# and the second should be queued.
process_target = ProcessTarget(execution_engine_id="engine1")
process_target.node_exclusive = "abc"
process_schedule = ProcessSchedule()
process_schedule.queueing_mode = ProcessQueueingMode.ALWAYS
process_schedule.target = process_target
pid1 = self.pd_cli.create_process(self.process_definition_id)
self.waiter.start()
self.pd_cli.schedule_process(self.process_definition_id,
process_schedule, process_id=pid1)
self.waiter.await_state_event(pid1, ProcessStateEnum.RUNNING)
pid2 = self.pd_cli.create_process(self.process_definition_id)
self.pd_cli.schedule_process(self.process_definition_id,
process_schedule, process_id=pid2)
self.waiter.await_state_event(pid2, ProcessStateEnum.WAITING)
# now demonstrate that the node itself is not full by launching
# a third process without a node_exclusive tag -- it should start
# immediately
process_target.node_exclusive = None
pid3 = self.pd_cli.create_process(self.process_definition_id)
self.pd_cli.schedule_process(self.process_definition_id,
process_schedule, process_id=pid3)
self.waiter.await_state_event(pid3, ProcessStateEnum.RUNNING)
# finally, add a second node to the engine. pid2 should be started
# since there is an exclusive "abc" node free.
node2_id = uuid.uuid4().hex
self._send_node_state("engine1", node2_id)
self._start_eeagent(node2_id)
self.waiter.await_state_event(pid2, ProcessStateEnum.RUNNING)
# kill the processes for good
self.pd_cli.cancel_process(pid1)
self.waiter.await_state_event(pid1, ProcessStateEnum.TERMINATED)
self.pd_cli.cancel_process(pid2)
self.waiter.await_state_event(pid2, ProcessStateEnum.TERMINATED)
self.pd_cli.cancel_process(pid3)
self.waiter.await_state_event(pid3, ProcessStateEnum.TERMINATED)
def test_code_download(self):
# create a process definition that has no URL; only module and class.
process_definition_no_url = ProcessDefinition(name='test_process_nodownload')
process_definition_no_url.executable = {'module': 'ion.my.test.process',
'class': 'TestProcess'}
process_definition_id_no_url = self.pd_cli.create_process_definition(process_definition_no_url)
# create another that has a URL of the python file (this very file)
# verifies L4-CI-CEI-RQ114
url = "file://%s" % os.path.join(os.path.dirname(__file__), 'test_process_dispatcher.py')
process_definition = ProcessDefinition(name='test_process_download')
process_definition.executable = {'module': 'ion.my.test.process',
'class': 'TestProcess', 'url': url}
process_definition_id = self.pd_cli.create_process_definition(process_definition)
process_target = ProcessTarget()
process_schedule = ProcessSchedule()
process_schedule.queueing_mode = ProcessQueueingMode.ALWAYS
process_schedule.target = process_target
self.waiter.start()
# Test a module with no download fails
pid_no_url = self.pd_cli.create_process(process_definition_id_no_url)
self.pd_cli.schedule_process(process_definition_id_no_url,
process_schedule, process_id=pid_no_url)
self.waiter.await_state_event(pid_no_url, ProcessStateEnum.FAILED)
# Test a module with a URL runs
pid = self.pd_cli.create_process(process_definition_id)
self.pd_cli.schedule_process(process_definition_id,
process_schedule, process_id=pid)
self.waiter.await_state_event(pid, ProcessStateEnum.RUNNING)
def _add_test_process(self, restart_mode=None):
process_schedule = ProcessSchedule()
if restart_mode is not None:
process_schedule.restart_mode = restart_mode
pid = self.pd_cli.create_process(self.process_definition_id)
pid_listen_name = "PDtestproc_%s" % uuid.uuid4().hex
config = {'process': {'listen_name': pid_listen_name}}
self.pd_cli.schedule_process(self.process_definition_id,
process_schedule, process_id=pid, configuration=config)
client = TestClient(to_name=pid_listen_name)
return pid, client
def test_restart(self):
self.waiter.start()
restartable_pids = []
nonrestartable_pids = []
clients = {}
# start 10 processes with RestartMode.ALWAYS
for _ in range(10):
pid, client = self._add_test_process(ProcessRestartMode.ALWAYS)
restartable_pids.append(pid)
clients[pid] = client
# and 10 processes with RestartMode.ABNORMAL
for _ in range(10):
pid, client = self._add_test_process(ProcessRestartMode.ABNORMAL)
restartable_pids.append(pid)
clients[pid] = client
# and 10 with RestartMode.NEVER
for _ in range(10):
pid, client = self._add_test_process(ProcessRestartMode.NEVER)
nonrestartable_pids.append(pid)
clients[pid] = client
all_pids = restartable_pids + nonrestartable_pids
self.waiter.await_many_state_events(all_pids, ProcessStateEnum.RUNNING)
for pid in all_pids:
client = clients[pid]
self.assertFalse(client.is_restart())
self.assertEqual(client.count(), 1)
# now kill the whole eeagent and restart it. processes should
# show up as FAILED in the next heartbeat.
resource_id = self._eea_pid_to_resource_id[self._initial_eea_pid]
persistence_dir = self._eea_pid_to_persistence_dir[self._initial_eea_pid]
log.debug("Restarting eeagent %s", self._initial_eea_pid)
self._kill_eeagent(self._initial_eea_pid)
# manually kill the processes to simulate a real container failure
for pid in all_pids:
self.container.terminate_process(pid)
self._start_eeagent(self.node1_id, resource_id=resource_id,
persistence_dir=persistence_dir)
# wait for restartables to restart
self.waiter.await_many_state_events(restartable_pids, ProcessStateEnum.RUNNING)
# query the processes again. it should have restart mode config
for pid in restartable_pids:
client = clients[pid]
self.assertTrue(client.is_restart())
self.assertEqual(client.count(), 1)
# meanwhile some procs should not have restarted
for pid in nonrestartable_pids:
proc = self.pd_cli.read_process(pid)
self.assertEqual(proc.process_state, ProcessStateEnum.FAILED)
# guard against extraneous events we were receiving as part of a bug:
# processes restarting again after they were already restarted
self.waiter.await_nothing(timeout=5)
def test_idempotency(self):
# ensure every operation can be safely retried
process_schedule = ProcessSchedule()
process_schedule.queueing_mode = ProcessQueueingMode.ALWAYS
proc_name = 'myreallygoodname'
pid = self.pd_cli.create_process(self.process_definition_id)
self.waiter.start(pid)
# note: if we import UNSCHEDULED state into ProcessStateEnum,
# this assertion will need to change.
proc = self.pd_cli.read_process(pid)
self.assertEqual(proc.process_id, pid)
self.assertEqual(proc.process_state, ProcessStateEnum.REQUESTED)
pid2 = self.pd_cli.schedule_process(self.process_definition_id,
process_schedule, configuration={}, process_id=pid, name=proc_name)
self.assertEqual(pid, pid2)
self.waiter.await_state_event(pid, ProcessStateEnum.RUNNING)
# repeating schedule is harmless
pid2 = self.pd_cli.schedule_process(self.process_definition_id,
process_schedule, configuration={}, process_id=pid, name=proc_name)
self.assertEqual(pid, pid2)
proc = self.pd_cli.read_process(pid)
self.assertEqual(proc.process_id, pid)
self.assertEqual(proc.process_configuration, {})
self.assertEqual(proc.process_state, ProcessStateEnum.RUNNING)
self.pd_cli.cancel_process(pid)
self.waiter.await_state_event(pid, ProcessStateEnum.TERMINATED)
# repeating cancel is harmless
self.pd_cli.cancel_process(pid)
proc = self.pd_cli.read_process(pid)
self.assertEqual(proc.process_id, pid)
self.assertEqual(proc.process_configuration, {})
self.assertEqual(proc.process_state, ProcessStateEnum.TERMINATED)
class TestActivateRSNVel3DInstrument(IonIntegrationTestCase):
def setUp(self):
# Start container
super(TestActivateRSNVel3DInstrument, self).setUp()
config = DotDict()
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml', config)
# Now create client to DataProductManagementService
self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
self.damsclient = DataAcquisitionManagementServiceClient(
node=self.container.node)
self.pubsubcli = PubsubManagementServiceClient(
node=self.container.node)
self.imsclient = InstrumentManagementServiceClient(
node=self.container.node)
self.dpclient = DataProductManagementServiceClient(
node=self.container.node)
self.datasetclient = DatasetManagementServiceClient(
node=self.container.node)
self.processdispatchclient = ProcessDispatcherServiceClient(
node=self.container.node)
self.dataprocessclient = DataProcessManagementServiceClient(
node=self.container.node)
self.dataproductclient = DataProductManagementServiceClient(
node=self.container.node)
self.dataretrieverclient = DataRetrieverServiceClient(
node=self.container.node)
self.dataset_management = DatasetManagementServiceClient()
def create_logger(self, name, stream_id=''):
# logger process
producer_definition = ProcessDefinition(name=name + '_logger')
producer_definition.executable = {
'module': 'ion.processes.data.stream_granule_logger',
'class': 'StreamGranuleLogger'
}
logger_procdef_id = self.processdispatchclient.create_process_definition(
process_definition=producer_definition)
configuration = {
'process': {
'stream_id': stream_id,
}
}
pid = self.processdispatchclient.schedule_process(
process_definition_id=logger_procdef_id,
configuration=configuration)
return pid
@attr('LOCOINT')
@unittest.skip('under construction')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False),
'Skip test while in CEI LAUNCH mode')
@patch.dict(CFG, {'endpoint': {'receive': {'timeout': 180}}})
def test_activate_rsn_vel3d(self):
log.info(
"--------------------------------------------------------------------------------------------------------"
)
# load_parameter_scenarios
self.container.spawn_process(
"Loader",
"ion.processes.bootstrap.ion_loader",
"IONLoader",
config=dict(
op="load",
scenario="BETA",
path="master",
categories=
"ParameterFunctions,ParameterDefs,ParameterDictionary,StreamDefinition",
clearcols="owner_id,org_ids",
assets="res/preload/r2_ioc/ooi_assets",
parseooi="True",
))
self.loggerpids = []
# Create InstrumentModel
instModel_obj = IonObject(RT.InstrumentModel,
name='Vel3DMModel',
description="Vel3DMModel")
instModel_id = self.imsclient.create_instrument_model(instModel_obj)
log.debug('test_activate_rsn_vel3d new InstrumentModel id = %s ',
instModel_id)
raw_config = StreamConfiguration(stream_name='raw',
parameter_dictionary_name='raw')
vel3d_b_sample = StreamConfiguration(
stream_name='vel3d_b_sample',
parameter_dictionary_name='vel3d_b_sample')
vel3d_b_engineering = StreamConfiguration(
stream_name='vel3d_b_engineering',
parameter_dictionary_name='vel3d_b_engineering')
RSN_VEL3D_01 = {
'DEV_ADDR': "10.180.80.6",
'DEV_PORT': 2101,
'DATA_PORT': 1026,
'CMD_PORT': 1025,
'PA_BINARY': "port_agent"
}
# Create InstrumentAgent
instAgent_obj = IonObject(
RT.InstrumentAgent,
name='Vel3DAgent',
description="Vel3DAgent",
driver_uri=
"http://sddevrepo.oceanobservatories.org/releases/nobska_mavs4_ooicore-0.0.7-py2.7.egg",
stream_configurations=[
raw_config, vel3d_b_sample, vel3d_b_engineering
])
instAgent_id = self.imsclient.create_instrument_agent(instAgent_obj)
log.debug('test_activate_rsn_vel3d new InstrumentAgent id = %s',
instAgent_id)
self.imsclient.assign_instrument_model_to_instrument_agent(
instModel_id, instAgent_id)
# Create InstrumentDevice
log.debug(
'test_activate_rsn_vel3d: Create instrument resource to represent the Vel3D '
)
instDevice_obj = IonObject(RT.InstrumentDevice,
name='Vel3DDevice',
description="Vel3DDevice",
serial_number="12345")
instDevice_id = self.imsclient.create_instrument_device(
instrument_device=instDevice_obj)
self.imsclient.assign_instrument_model_to_instrument_device(
instModel_id, instDevice_id)
log.debug("test_activate_rsn_vel3d: new InstrumentDevice id = %s ",
instDevice_id)
port_agent_config = {
'device_addr': '10.180.80.6',
'device_port': 2101,
'process_type': PortAgentProcessType.UNIX,
'binary_path': "port_agent",
'port_agent_addr': 'localhost',
'command_port': 1025,
'data_port': 1026,
'log_level': 5,
'type': PortAgentType.ETHERNET
}
instAgentInstance_obj = IonObject(RT.InstrumentAgentInstance,
name='Vel3DAgentInstance',
description="Vel3DAgentInstance",
port_agent_config=port_agent_config,
alerts=[])
instAgentInstance_id = self.imsclient.create_instrument_agent_instance(
instAgentInstance_obj, instAgent_id, instDevice_id)
parsed_sample_pdict_id = self.dataset_management.read_parameter_dictionary_by_name(
'vel3d_b_sample', id_only=True)
parsed_sample_stream_def_id = self.pubsubcli.create_stream_definition(
name='vel3d_b_sample',
parameter_dictionary_id=parsed_sample_pdict_id)
parsed_eng_pdict_id = self.dataset_management.read_parameter_dictionary_by_name(
'vel3d_b_engineering', id_only=True)
parsed_eng_stream_def_id = self.pubsubcli.create_stream_definition(
name='vel3d_b_engineering',
parameter_dictionary_id=parsed_eng_pdict_id)
raw_pdict_id = self.dataset_management.read_parameter_dictionary_by_name(
'raw', id_only=True)
raw_stream_def_id = self.pubsubcli.create_stream_definition(
name='raw', parameter_dictionary_id=raw_pdict_id)
#-------------------------------
# Create Raw and Parsed Data Products for the device
#-------------------------------
dp_obj = IonObject(RT.DataProduct,
name='vel3d_b_sample',
description='vel3d_b_sample')
sample_data_product_id = self.dpclient.create_data_product(
data_product=dp_obj,
stream_definition_id=parsed_sample_stream_def_id)
log.debug('new dp_id = %s', sample_data_product_id)
self.dpclient.activate_data_product_persistence(
data_product_id=sample_data_product_id)
self.damsclient.assign_data_product(
input_resource_id=instDevice_id,
data_product_id=sample_data_product_id)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(sample_data_product_id,
PRED.hasStream, None, True)
log.debug('sample_data_product streams1 = %s', stream_ids)
# Retrieve the id of the OUTPUT stream from the out Data Product
dataset_ids, _ = self.rrclient.find_objects(sample_data_product_id,
PRED.hasDataset,
RT.Dataset, True)
log.debug('Data set for sample_data_product = %s', dataset_ids[0])
self.parsed_dataset = dataset_ids[0]
pid = self.create_logger('vel3d_b_sample', stream_ids[0])
self.loggerpids.append(pid)
dp_obj = IonObject(RT.DataProduct,
name='vel3d_b_engineering',
description='vel3d_b_engineering')
eng_data_product_id = self.dpclient.create_data_product(
data_product=dp_obj, stream_definition_id=parsed_eng_stream_def_id)
log.debug('new dp_id = %s', eng_data_product_id)
self.dpclient.activate_data_product_persistence(
data_product_id=eng_data_product_id)
self.damsclient.assign_data_product(
input_resource_id=instDevice_id,
data_product_id=eng_data_product_id)
dp_obj = IonObject(RT.DataProduct,
name='the raw data',
description='raw stream test')
data_product_id2 = self.dpclient.create_data_product(
data_product=dp_obj, stream_definition_id=raw_stream_def_id)
log.debug('new dp_id = %s', data_product_id2)
self.damsclient.assign_data_product(input_resource_id=instDevice_id,
data_product_id=data_product_id2)
self.dpclient.activate_data_product_persistence(
data_product_id=data_product_id2)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(data_product_id2,
PRED.hasStream, None, True)
log.debug('test_activate_rsn_vel3d Data product streams2 = %s',
str(stream_ids))
# Retrieve the id of the OUTPUT stream from the out Data Product
dataset_ids, _ = self.rrclient.find_objects(data_product_id2,
PRED.hasDataset,
RT.Dataset, True)
log.debug('test_activate_rsn_vel3d Data set for data_product_id2 = %s',
dataset_ids[0])
self.raw_dataset = dataset_ids[0]
def start_instrument_agent():
self.imsclient.start_instrument_agent_instance(
instrument_agent_instance_id=instAgentInstance_id)
gevent.joinall([gevent.spawn(start_instrument_agent)])
#cleanup
self.addCleanup(self.imsclient.stop_instrument_agent_instance,
instrument_agent_instance_id=instAgentInstance_id)
#wait for start
inst_agent_instance_obj = self.imsclient.read_instrument_agent_instance(
instAgentInstance_id)
gate = AgentProcessStateGate(self.processdispatchclient.read_process,
instDevice_id, ProcessStateEnum.RUNNING)
self.assertTrue(
gate. await (30),
"The instrument agent instance (%s) did not spawn in 30 seconds" %
gate.process_id)
#log.trace('Instrument agent instance obj: = %s' , str(inst_agent_instance_obj))
# Start a resource agent client to talk with the instrument agent.
self._ia_client = ResourceAgentClient(instDevice_id,
to_name=gate.process_id,
process=FakeProcess())
def check_state(label, desired_state):
actual_state = self._ia_client.get_agent_state()
log.debug("%s instrument agent is in state '%s'", label,
actual_state)
self.assertEqual(desired_state, actual_state)
log.debug("test_activate_rsn_vel3d: got ia client %s",
str(self._ia_client))
check_state("just-spawned", ResourceAgentState.UNINITIALIZED)
cmd = AgentCommand(command=ResourceAgentEvent.INITIALIZE)
retval = self._ia_client.execute_agent(cmd)
log.debug("test_activate_rsn_vel3d: initialize %s", str(retval))
check_state("initialized", ResourceAgentState.INACTIVE)
log.debug("test_activate_rsn_vel3d Sending go_active command ")
cmd = AgentCommand(command=ResourceAgentEvent.GO_ACTIVE)
reply = self._ia_client.execute_agent(cmd)
log.debug("test_activate_rsn_vel3d: return value from go_active %s",
str(reply))
check_state("activated", ResourceAgentState.IDLE)
cmd = AgentCommand(command=ResourceAgentEvent.GET_RESOURCE_STATE)
retval = self._ia_client.execute_agent(cmd)
state = retval.result
log.debug("current state after sending go_active command %s",
str(state))
#
cmd = AgentCommand(command=ResourceAgentEvent.RUN)
reply = self._ia_client.execute_agent(cmd)
log.debug("test_activate_rsn_vel3d: run %s", str(reply))
check_state("commanded", ResourceAgentState.COMMAND)
cmd = AgentCommand(command=ResourceAgentEvent.GET_RESOURCE_STATE)
retval = self._ia_client.execute_agent(cmd)
state = retval.result
log.debug("current state after sending run command %s", str(state))
# cmd = AgentCommand(command=ProtocolEvent.START_AUTOSAMPLE)
# reply = self._ia_client.execute_agent(cmd)
# log.debug("test_activate_rsn_vel3d: run %s" , str(reply))
# state = self._ia_client.get_agent_state()
# self.assertEqual(ResourceAgentState.COMMAND, state)
#
# gevent.sleep(5)
#
# cmd = AgentCommand(command=ProtocolEvent.STOP_AUTOSAMPLE)
# reply = self._ia_client.execute_agent(cmd)
# log.debug("test_activate_rsn_vel3d: run %s" , str(reply))
# state = self._ia_client.get_agent_state()
# self.assertEqual(ResourceAgentState.COMMAND, state)
#
# cmd = AgentCommand(command=ResourceAgentEvent.GET_RESOURCE_STATE)
# retval = self._ia_client.execute_agent(cmd)
# state = retval.result
# log.debug("current state after sending STOP_AUTOSAMPLE command %s" , str(state))
#
# cmd = AgentCommand(command=ResourceAgentEvent.PAUSE)
# retval = self._ia_client.execute_agent(cmd)
# state = self._ia_client.get_agent_state()
# self.assertEqual(ResourceAgentState.STOPPED, state)
#
# cmd = AgentCommand(command=ResourceAgentEvent.RESUME)
# retval = self._ia_client.execute_agent(cmd)
# state = self._ia_client.get_agent_state()
# self.assertEqual(ResourceAgentState.COMMAND, state)
#
# cmd = AgentCommand(command=ResourceAgentEvent.CLEAR)
# retval = self._ia_client.execute_agent(cmd)
# state = self._ia_client.get_agent_state()
# self.assertEqual(ResourceAgentState.IDLE, state)
#
# cmd = AgentCommand(command=ResourceAgentEvent.RUN)
# retval = self._ia_client.execute_agent(cmd)
# state = self._ia_client.get_agent_state()
# self.assertEqual(ResourceAgentState.COMMAND, state)
log.debug("test_activate_rsn_vel3d: calling reset ")
cmd = AgentCommand(command=ResourceAgentEvent.RESET)
reply = self._ia_client.execute_agent(cmd)
log.debug("test_activate_rsn_vel3d: return from reset %s", str(reply))
#--------------------------------------------------------------------------------
# Now get the data in one chunk using an RPC Call to start_retreive
#--------------------------------------------------------------------------------
replay_data_raw = self.dataretrieverclient.retrieve(self.raw_dataset)
self.assertIsInstance(replay_data_raw, Granule)
rdt_raw = RecordDictionaryTool.load_from_granule(replay_data_raw)
log.debug("RDT raw: %s", str(rdt_raw.pretty_print()))
self.assertIn('raw', rdt_raw)
raw_vals = rdt_raw['raw']
#--------------------------------------------------------------------------------
# Deactivate loggers
#--------------------------------------------------------------------------------
for pid in self.loggerpids:
self.processdispatchclient.cancel_process(pid)
self.dpclient.delete_data_product(sample_data_product_id)
self.dpclient.delete_data_product(eng_data_product_id)
self.dpclient.delete_data_product(data_product_id2)
class HAProcessControl(object):
def __init__(self, pd_name, resource_registry, service_id, callback=None, logprefix=""):
self.pd_name = pd_name
self.resource_registry = resource_registry
self.service_id = service_id
self.callback = callback
if callback and not callable(callback):
raise ValueError("callback is not callable")
self.logprefix = logprefix
self.client = ProcessDispatcherServiceClient(to_name=pd_name)
self.event_sub = EventSubscriber(event_type="ProcessLifecycleEvent",
callback=self._event_callback, origin_type="DispatchedProcess",
auto_delete=True)
self.processes = {}
def start(self):
service = self.resource_registry.read(self.service_id)
process_assocs = self.resource_registry.find_associations(service, "hasProcess")
for process_assoc in process_assocs:
process_id = process_assoc.o
if process_id:
try:
process = self.client.read_process(process_id)
except NotFound:
log.debug("%sService was associated with process %s, which is unknown to PD. ignoring.",
self.logprefix, process_id)
continue
state = process.process_state
state_str = ProcessStateEnum._str_map.get(state, str(state))
self.processes[process.process_id] = _process_dict_from_object(process)
log.info("%srecovered process %s state=%s", self.logprefix, process_id, state_str)
self.event_sub.start()
def stop(self):
self.event_sub.stop()
def get_managed_upids(self):
return self.processes.keys()
def _event_callback(self, event, *args, **kwargs):
if not event:
return
try:
self._inner_event_callback(event)
except (KeyboardInterrupt, SystemExit):
raise
except:
log.exception("%sException in event handler. This is a bug!", self.logprefix)
def _inner_event_callback(self, event):
process_id = event.origin
state = event.state
state_str = ProcessStateEnum._str_map.get(state, str(state))
if not (process_id and process_id in self.processes):
# we receive events for all processes but ignore most
return
process = None
for _ in range(3):
try:
process = self.client.read_process(process_id)
break
except Timeout:
log.warn("Timeout trying to read process from Process Dispatcher!", exc_info=True)
pass # retry
except NotFound:
break
if process:
log.info("%sreceived process %s state=%s", self.logprefix, process_id, state_str)
# replace the cached data about this process
self.processes[process_id] = _process_dict_from_object(process)
else:
log.warn("%sReceived process %s event but failed to read from Process Dispatcher",
self.logprefix, process_id)
#XXX better approach here? we at least have the state from the event,
# so sticking that on cached process. We could miss other important
# data like hostname however.
self.processes[process_id]['state'] = process_state_to_pd_core(state)
if self.callback:
try:
self.callback()
except (KeyboardInterrupt, SystemExit):
raise
except:
e = sys.exc_info()[0]
log.warn("%sError in HAAgent callback: %s", self.logprefix, e, exc_info=True)
def _associate_process(self, process):
try:
self.resource_registry.create_association(self.service_id,
"hasProcess", process.process_id)
except Exception:
log.exception("Couldn't associate service %s to process %s" % (self.service_id, process.process_id))
def schedule_process(self, pd_name, process_definition_id, **kwargs):
if pd_name != self.pd_name:
raise Exception("schedule_process request received for unknown PD: %s" % pd_name)
# figure out if there is an existing PID which can be reused
found_upid = None
for process in self.processes.values():
upid = process.get('upid')
state = process.get('state')
if not (upid and state):
continue
if state in CoreProcessState.TERMINAL_STATES:
found_upid = upid
if found_upid:
upid = found_upid
proc = self.client.read_process(upid)
else:
# otherwise create a new process and associate
upid = self.client.create_process(process_definition_id)
# note: if the HAAgent fails between the create call above and the
# associate call below, there may be orphaned Process objects. These
# processes will not however be running, so are largely harmless.
proc = self.client.read_process(upid)
self._associate_process(proc)
process_schedule = _get_process_schedule(**kwargs)
configuration = kwargs.get('configuration')
# cheat and roll the process state to REQUESTED before we actually
# schedule it. this is in-memory only, so should be harmless. This
# avoids a race between this scheduling process and the event
# subscriber.
proc.process_state = ProcessStateEnum.REQUESTED
self.processes[upid] = _process_dict_from_object(proc)
self.client.schedule_process(process_definition_id, process_schedule,
configuration=configuration, process_id=upid)
return upid
def terminate_process(self, pid):
return self.client.cancel_process(pid)
def get_all_processes(self):
processes = deepcopy(self.processes.values())
return {self.pd_name: processes}
def reload_processes(self):
for process_id, process_dict in self.processes.items():
try:
process = self.client.read_process(process_id)
except Exception:
log.warn("%sFailed to read process %s from PD. Will retry later.",
self.logprefix, process_id, exc_info=True)
continue
new_process_dict = _process_dict_from_object(process)
if new_process_dict['state'] != process_dict['state']:
log.warn("%sUpdating process %s record manually. we may have missed an event?",
self.logprefix, process_id)
self.processes[process_id] = new_process_dict
class TestCTDTransformsIntegration(IonIntegrationTestCase):
def setUp(self):
# Start container
#print 'instantiating container'
self._start_container()
#container = Container()
#print 'starting container'
#container.start()
#print 'started container'
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
print 'started services'
# Now create client to DataProductManagementService
self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
self.damsclient = DataAcquisitionManagementServiceClient(node=self.container.node)
self.pubsubclient = PubsubManagementServiceClient(node=self.container.node)
self.ingestclient = IngestionManagementServiceClient(node=self.container.node)
self.imsclient = InstrumentManagementServiceClient(node=self.container.node)
self.dataproductclient = DataProductManagementServiceClient(node=self.container.node)
self.dataprocessclient = DataProcessManagementServiceClient(node=self.container.node)
self.datasetclient = DatasetManagementServiceClient(node=self.container.node)
self.processdispatchclient = ProcessDispatcherServiceClient(node=self.container.node)
def create_logger(self, name, stream_id=''):
# logger process
producer_definition = ProcessDefinition(name=name+'_logger')
producer_definition.executable = {
'module':'ion.processes.data.stream_granule_logger',
'class':'StreamGranuleLogger'
}
logger_procdef_id = self.processdispatchclient.create_process_definition(process_definition=producer_definition)
configuration = {
'process':{
'stream_id':stream_id,
}
}
pid = self.processdispatchclient.schedule_process(process_definition_id= logger_procdef_id, configuration=configuration)
return pid
def test_createTransformsThenActivateInstrument(self):
self.loggerpids = []
# Create InstrumentModel
instModel_obj = IonObject(RT.InstrumentModel, name='SBE37IMModel', description="SBE37IMModel", model="SBE37IMModel" )
try:
instModel_id = self.imsclient.create_instrument_model(instModel_obj)
except BadRequest as ex:
self.fail("failed to create new InstrumentModel: %s" %ex)
log.debug( 'new InstrumentModel id = %s ', instModel_id)
# Create InstrumentAgent
instAgent_obj = IonObject(RT.InstrumentAgent, name='agent007', description="SBE37IMAgent", driver_module="ion.agents.instrument.instrument_agent", driver_class="InstrumentAgent" )
try:
instAgent_id = self.imsclient.create_instrument_agent(instAgent_obj)
except BadRequest as ex:
self.fail("failed to create new InstrumentAgent: %s" %ex)
log.debug( 'new InstrumentAgent id = %s', instAgent_id)
self.imsclient.assign_instrument_model_to_instrument_agent(instModel_id, instAgent_id)
# Create InstrumentDevice
log.debug('test_activateInstrumentSample: Create instrument resource to represent the SBE37 (SA Req: L4-CI-SA-RQ-241) ')
instDevice_obj = IonObject(RT.InstrumentDevice, name='SBE37IMDevice', description="SBE37IMDevice", serial_number="12345" )
try:
instDevice_id = self.imsclient.create_instrument_device(instrument_device=instDevice_obj)
self.imsclient.assign_instrument_model_to_instrument_device(instModel_id, instDevice_id)
except BadRequest as ex:
self.fail("failed to create new InstrumentDevice: %s" %ex)
log.debug("test_activateInstrumentSample: new InstrumentDevice id = %s (SA Req: L4-CI-SA-RQ-241) ", instDevice_id)
instAgentInstance_obj = IonObject(RT.InstrumentAgentInstance, name='SBE37IMAgentInstance', description="SBE37IMAgentInstance",
driver_module='mi.instrument.seabird.sbe37smb.ooicore.driver', driver_class='SBE37Driver',
comms_device_address='sbe37-simulator.oceanobservatories.org', comms_device_port=4001, port_agent_work_dir='/tmp/', port_agent_delimeter=['<<','>>'] )
instAgentInstance_id = self.imsclient.create_instrument_agent_instance(instAgentInstance_obj, instAgent_id, instDevice_id)
# create a stream definition for the data from the ctd simulator
ctd_stream_def = SBE37_CDM_stream_definition()
ctd_stream_def_id = self.pubsubclient.create_stream_definition(container=ctd_stream_def)
log.debug( 'new Stream Definition id = %s', instDevice_id)
log.debug( 'Creating new CDM data product with a stream definition')
craft = CoverageCraft
sdom, tdom = craft.create_domains()
sdom = sdom.dump()
tdom = tdom.dump()
parameter_dictionary = craft.create_parameters()
parameter_dictionary = parameter_dictionary.dump()
dp_obj = IonObject(RT.DataProduct,
name='the parsed data',
description='ctd stream test',
temporal_domain = tdom,
spatial_domain = sdom)
ctd_parsed_data_product = self.dataproductclient.create_data_product(dp_obj, ctd_stream_def_id, parameter_dictionary)
log.debug( 'new dp_id = %s', ctd_parsed_data_product)
self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=ctd_parsed_data_product)
self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_parsed_data_product)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(ctd_parsed_data_product, PRED.hasStream, None, True)
log.debug( 'Data product streams1 = %s', stream_ids)
pid = self.create_logger('ctd_parsed', stream_ids[0] )
self.loggerpids.append(pid)
print 'test_createTransformsThenActivateInstrument: Data product streams1 = ', stream_ids
#-------------------------------
# Create CTD Raw as the second data product
#-------------------------------
log.debug( 'Creating new RAW data product with a stream definition')
raw_stream_def = SBE37_RAW_stream_definition()
raw_stream_def_id = self.pubsubclient.create_stream_definition(container=raw_stream_def)
dp_obj = IonObject(RT.DataProduct,
name='the raw data',
description='raw stream test',
temporal_domain = tdom,
spatial_domain = sdom)
ctd_raw_data_product = self.dataproductclient.create_data_product(dp_obj, raw_stream_def_id, parameter_dictionary)
log.debug( 'new dp_id = %s', str(ctd_raw_data_product))
self.damsclient.assign_data_product(input_resource_id=instDevice_id, data_product_id=ctd_raw_data_product)
self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_raw_data_product)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(ctd_raw_data_product, PRED.hasStream, None, True)
log.debug( 'Data product streams2 = %s', str(stream_ids))
#todo: attaching the taxonomy to the stream is a TEMPORARY measure
# Create taxonomies for both parsed and attach to the stream
RawTax = TaxyTool()
RawTax.add_taxonomy_set('raw_fixed','Fixed length bytes in an array of records')
RawTax.add_taxonomy_set('raw_blob','Unlimited length bytes in an array')
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(ctd_raw_data_product, PRED.hasStream, None, True)
print 'Data product streams2 = ', stream_ids
#-------------------------------
# L0 Conductivity - Temperature - Pressure: Data Process Definition
#-------------------------------
log.debug("TestIntDataProcessMgmtServiceMultiOut: create data process definition ctd_L0_all")
dpd_obj = IonObject(RT.DataProcessDefinition,
name='ctd_L0_all',
description='transform ctd package into three separate L0 streams',
module='ion.processes.data.transforms.ctd.ctd_L0_all',
class_name='ctd_L0_all',
process_source='some_source_reference')
try:
ctd_L0_all_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
except BadRequest as ex:
self.fail("failed to create new ctd_L0_all data process definition: %s" %ex)
#-------------------------------
# L1 Conductivity: Data Process Definition
#-------------------------------
log.debug("TestIntDataProcessMgmtServiceMultiOut: create data process definition CTDL1ConductivityTransform")
dpd_obj = IonObject(RT.DataProcessDefinition,
name='ctd_L1_conductivity',
description='create the L1 conductivity data product',
module='ion.processes.data.transforms.ctd.ctd_L1_conductivity',
class_name='CTDL1ConductivityTransform',
process_source='CTDL1ConductivityTransform source code here...')
try:
ctd_L1_conductivity_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
except BadRequest as ex:
self.fail("failed to create new CTDL1ConductivityTransform data process definition: %s" %ex)
#-------------------------------
# L1 Pressure: Data Process Definition
#-------------------------------
log.debug("TestIntDataProcessMgmtServiceMultiOut: create data process definition CTDL1PressureTransform")
dpd_obj = IonObject(RT.DataProcessDefinition,
name='ctd_L1_pressure',
description='create the L1 pressure data product',
module='ion.processes.data.transforms.ctd.ctd_L1_pressure',
class_name='CTDL1PressureTransform',
process_source='CTDL1PressureTransform source code here...')
try:
ctd_L1_pressure_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
except BadRequest as ex:
self.fail("failed to create new CTDL1PressureTransform data process definition: %s" %ex)
#-------------------------------
# L1 Temperature: Data Process Definition
#-------------------------------
log.debug("TestIntDataProcessMgmtServiceMultiOut: create data process definition CTDL1TemperatureTransform")
dpd_obj = IonObject(RT.DataProcessDefinition,
name='ctd_L1_temperature',
description='create the L1 temperature data product',
module='ion.processes.data.transforms.ctd.ctd_L1_temperature',
class_name='CTDL1TemperatureTransform',
process_source='CTDL1TemperatureTransform source code here...')
try:
ctd_L1_temperature_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
except BadRequest as ex:
self.fail("failed to create new CTDL1TemperatureTransform data process definition: %s" %ex)
#-------------------------------
# L2 Salinity: Data Process Definition
#-------------------------------
log.debug("TestIntDataProcessMgmtServiceMultiOut: create data process definition SalinityTransform")
dpd_obj = IonObject(RT.DataProcessDefinition,
name='ctd_L2_salinity',
description='create the L1 temperature data product',
module='ion.processes.data.transforms.ctd.ctd_L2_salinity',
class_name='SalinityTransform',
process_source='SalinityTransform source code here...')
try:
ctd_L2_salinity_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
except BadRequest as ex:
self.fail("failed to create new SalinityTransform data process definition: %s" %ex)
#-------------------------------
# L2 Density: Data Process Definition
#-------------------------------
log.debug("TestIntDataProcessMgmtServiceMultiOut: create data process definition DensityTransform")
dpd_obj = IonObject(RT.DataProcessDefinition,
name='ctd_L2_density',
description='create the L1 temperature data product',
module='ion.processes.data.transforms.ctd.ctd_L2_density',
class_name='DensityTransform',
process_source='DensityTransform source code here...')
try:
ctd_L2_density_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
except BadRequest as ex:
self.fail("failed to create new DensityTransform data process definition: %s" %ex)
#-------------------------------
# L0 Conductivity - Temperature - Pressure: Output Data Products
#-------------------------------
outgoing_stream_l0_conductivity = L0_conductivity_stream_definition()
outgoing_stream_l0_conductivity_id = self.pubsubclient.create_stream_definition(container=outgoing_stream_l0_conductivity, name='L0_Conductivity')
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_conductivity_id, ctd_L0_all_dprocdef_id )
outgoing_stream_l0_pressure = L0_pressure_stream_definition()
outgoing_stream_l0_pressure_id = self.pubsubclient.create_stream_definition(container=outgoing_stream_l0_pressure, name='L0_Pressure')
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_pressure_id, ctd_L0_all_dprocdef_id )
outgoing_stream_l0_temperature = L0_temperature_stream_definition()
outgoing_stream_l0_temperature_id = self.pubsubclient.create_stream_definition(container=outgoing_stream_l0_temperature, name='L0_Temperature')
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_temperature_id, ctd_L0_all_dprocdef_id )
self.output_products={}
log.debug("test_createTransformsThenActivateInstrument: create output data product L0 conductivity")
ctd_l0_conductivity_output_dp_obj = IonObject( RT.DataProduct,
name='L0_Conductivity',
description='transform output conductivity',
temporal_domain = tdom,
spatial_domain = sdom)
ctd_l0_conductivity_output_dp_id = self.dataproductclient.create_data_product(ctd_l0_conductivity_output_dp_obj,
outgoing_stream_l0_conductivity_id,
parameter_dictionary)
self.output_products['conductivity'] = ctd_l0_conductivity_output_dp_id
self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_l0_conductivity_output_dp_id)
log.debug("test_createTransformsThenActivateInstrument: create output data product L0 pressure")
ctd_l0_pressure_output_dp_obj = IonObject( RT.DataProduct,
name='L0_Pressure',
description='transform output pressure',
temporal_domain = tdom,
spatial_domain = sdom)
ctd_l0_pressure_output_dp_id = self.dataproductclient.create_data_product(ctd_l0_pressure_output_dp_obj,
outgoing_stream_l0_pressure_id,
parameter_dictionary)
self.output_products['pressure'] = ctd_l0_pressure_output_dp_id
self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_l0_pressure_output_dp_id)
log.debug("test_createTransformsThenActivateInstrument: create output data product L0 temperature")
ctd_l0_temperature_output_dp_obj = IonObject( RT.DataProduct,
name='L0_Temperature',
description='transform output temperature',
temporal_domain = tdom,
spatial_domain = sdom)
ctd_l0_temperature_output_dp_id = self.dataproductclient.create_data_product(ctd_l0_temperature_output_dp_obj,
outgoing_stream_l0_temperature_id,
parameter_dictionary)
self.output_products['temperature'] = ctd_l0_temperature_output_dp_id
self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_l0_temperature_output_dp_id)
#-------------------------------
# L1 Conductivity - Temperature - Pressure: Output Data Products
#-------------------------------
outgoing_stream_l1_conductivity = L1_conductivity_stream_definition()
outgoing_stream_l1_conductivity_id = self.pubsubclient.create_stream_definition(container=outgoing_stream_l1_conductivity, name='L1_conductivity')
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l1_conductivity_id, ctd_L1_conductivity_dprocdef_id )
outgoing_stream_l1_pressure = L1_pressure_stream_definition()
outgoing_stream_l1_pressure_id = self.pubsubclient.create_stream_definition(container=outgoing_stream_l1_pressure, name='L1_Pressure')
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l1_pressure_id, ctd_L1_pressure_dprocdef_id )
outgoing_stream_l1_temperature = L1_temperature_stream_definition()
outgoing_stream_l1_temperature_id = self.pubsubclient.create_stream_definition(container=outgoing_stream_l1_temperature, name='L1_Temperature')
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l1_temperature_id, ctd_L1_temperature_dprocdef_id )
log.debug("test_createTransformsThenActivateInstrument: create output data product L1 conductivity")
ctd_l1_conductivity_output_dp_obj = IonObject( RT.DataProduct,
name='L1_Conductivity',
description='transform output L1 conductivity',
temporal_domain = tdom,
spatial_domain = sdom)
ctd_l1_conductivity_output_dp_id = self.dataproductclient.create_data_product(ctd_l1_conductivity_output_dp_obj,
outgoing_stream_l1_conductivity_id,
parameter_dictionary)
self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_l1_conductivity_output_dp_id)
# Retrieve the id of the OUTPUT stream from the out Data Product and add to granule logger
stream_ids, _ = self.rrclient.find_objects(ctd_l1_conductivity_output_dp_id, PRED.hasStream, None, True)
pid = self.create_logger('ctd_l1_conductivity', stream_ids[0] )
self.loggerpids.append(pid)
log.debug("test_createTransformsThenActivateInstrument: create output data product L1 pressure")
ctd_l1_pressure_output_dp_obj = IonObject( RT.DataProduct,
name='L1_Pressure',
description='transform output L1 pressure',
temporal_domain = tdom,
spatial_domain = sdom)
ctd_l1_pressure_output_dp_id = self.dataproductclient.create_data_product(ctd_l1_pressure_output_dp_obj,
outgoing_stream_l1_pressure_id,
parameter_dictionary
)
self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_l1_pressure_output_dp_id)
# Retrieve the id of the OUTPUT stream from the out Data Product and add to granule logger
stream_ids, _ = self.rrclient.find_objects(ctd_l1_pressure_output_dp_id, PRED.hasStream, None, True)
pid = self.create_logger('ctd_l1_pressure', stream_ids[0] )
self.loggerpids.append(pid)
log.debug("test_createTransformsThenActivateInstrument: create output data product L1 temperature")
ctd_l1_temperature_output_dp_obj = IonObject( RT.DataProduct,
name='L1_Temperature',
description='transform output L1 temperature',
temporal_domain = tdom,
spatial_domain = sdom)
ctd_l1_temperature_output_dp_id = self.dataproductclient.create_data_product(ctd_l1_temperature_output_dp_obj,
outgoing_stream_l1_temperature_id,
parameter_dictionary)
self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_l1_temperature_output_dp_id)
# Retrieve the id of the OUTPUT stream from the out Data Product and add to granule logger
stream_ids, _ = self.rrclient.find_objects(ctd_l1_temperature_output_dp_id, PRED.hasStream, None, True)
pid = self.create_logger('ctd_l1_temperature', stream_ids[0] )
self.loggerpids.append(pid)
#-------------------------------
# L2 Salinity - Density: Output Data Products
#-------------------------------
outgoing_stream_l2_salinity = L2_practical_salinity_stream_definition()
outgoing_stream_l2_salinity_id = self.pubsubclient.create_stream_definition(container=outgoing_stream_l2_salinity, name='L2_salinity')
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l2_salinity_id, ctd_L2_salinity_dprocdef_id )
outgoing_stream_l2_density = L2_density_stream_definition()
outgoing_stream_l2_density_id = self.pubsubclient.create_stream_definition(container=outgoing_stream_l2_density, name='L2_Density')
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l2_density_id, ctd_L2_density_dprocdef_id )
log.debug("test_createTransformsThenActivateInstrument: create output data product L2 Salinity")
ctd_l2_salinity_output_dp_obj = IonObject(RT.DataProduct,
name='L2_Salinity',
description='transform output L2 salinity',
temporal_domain = tdom,
spatial_domain = sdom)
ctd_l2_salinity_output_dp_id = self.dataproductclient.create_data_product(ctd_l2_salinity_output_dp_obj,
outgoing_stream_l2_salinity_id,
parameter_dictionary)
self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_l2_salinity_output_dp_id)
# Retrieve the id of the OUTPUT stream from the out Data Product and add to granule logger
stream_ids, _ = self.rrclient.find_objects(ctd_l2_salinity_output_dp_id, PRED.hasStream, None, True)
pid = self.create_logger('ctd_l2_salinity', stream_ids[0] )
self.loggerpids.append(pid)
log.debug("test_createTransformsThenActivateInstrument: create output data product L2 Density")
ctd_l2_density_output_dp_obj = IonObject( RT.DataProduct,
name='L2_Density',
description='transform output pressure',
temporal_domain = tdom,
spatial_domain = sdom)
ctd_l2_density_output_dp_id = self.dataproductclient.create_data_product(ctd_l2_density_output_dp_obj,
outgoing_stream_l2_density_id,
parameter_dictionary)
self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_l2_density_output_dp_id)
# Retrieve the id of the OUTPUT stream from the out Data Product and add to granule logger
stream_ids, _ = self.rrclient.find_objects(ctd_l2_density_output_dp_id, PRED.hasStream, None, True)
pid = self.create_logger('ctd_l2_density', stream_ids[0] )
self.loggerpids.append(pid)
#-------------------------------
# L0 Conductivity - Temperature - Pressure: Create the data process
#-------------------------------
log.debug("test_createTransformsThenActivateInstrument: create L0 all data_process start")
try:
ctd_l0_all_data_process_id = self.dataprocessclient.create_data_process(ctd_L0_all_dprocdef_id, [ctd_parsed_data_product], self.output_products)
self.dataprocessclient.activate_data_process(ctd_l0_all_data_process_id)
except BadRequest as ex:
self.fail("failed to create new data process: %s" %ex)
log.debug("test_createTransformsThenActivateInstrument: create L0 all data_process return")
#-------------------------------
# L1 Conductivity: Create the data process
#-------------------------------
log.debug("test_createTransformsThenActivateInstrument: create L1 Conductivity data_process start")
try:
l1_conductivity_data_process_id = self.dataprocessclient.create_data_process(ctd_L1_conductivity_dprocdef_id, [ctd_l0_conductivity_output_dp_id], {'output':ctd_l1_conductivity_output_dp_id})
self.dataprocessclient.activate_data_process(l1_conductivity_data_process_id)
except BadRequest as ex:
self.fail("failed to create new data process: %s" %ex)
log.debug("test_createTransformsThenActivateInstrument: create L1 Conductivity data_process return")
#-------------------------------
# L1 Pressure: Create the data process
#-------------------------------
log.debug("test_createTransformsThenActivateInstrument: create L1_Pressure data_process start")
try:
l1_pressure_data_process_id = self.dataprocessclient.create_data_process(ctd_L1_pressure_dprocdef_id, [ctd_l0_pressure_output_dp_id], {'output':ctd_l1_pressure_output_dp_id})
self.dataprocessclient.activate_data_process(l1_pressure_data_process_id)
except BadRequest as ex:
self.fail("failed to create new data process: %s" %ex)
log.debug("test_createTransformsThenActivateInstrument: create L1_Pressure data_process return")
#-------------------------------
# L1 Temperature: Create the data process
#-------------------------------
log.debug("test_createTransformsThenActivateInstrument: create L1_Pressure data_process start")
try:
l1_temperature_all_data_process_id = self.dataprocessclient.create_data_process(ctd_L1_temperature_dprocdef_id, [ctd_l0_temperature_output_dp_id], {'output':ctd_l1_temperature_output_dp_id})
self.dataprocessclient.activate_data_process(l1_temperature_all_data_process_id)
except BadRequest as ex:
self.fail("failed to create new data process: %s" %ex)
log.debug("test_createTransformsThenActivateInstrument: create L1_Pressure data_process return")
#-------------------------------
# L2 Salinity: Create the data process
#-------------------------------
log.debug("test_createTransformsThenActivateInstrument: create L2_salinity data_process start")
try:
l2_salinity_all_data_process_id = self.dataprocessclient.create_data_process(ctd_L2_salinity_dprocdef_id, [ctd_parsed_data_product], {'output':ctd_l2_salinity_output_dp_id})
self.dataprocessclient.activate_data_process(l2_salinity_all_data_process_id)
except BadRequest as ex:
self.fail("failed to create new data process: %s" %ex)
log.debug("test_createTransformsThenActivateInstrument: create L2_salinity data_process return")
#-------------------------------
# L2 Density: Create the data process
#-------------------------------
log.debug("test_createTransformsThenActivateInstrument: create L2_Density data_process start")
try:
l2_density_all_data_process_id = self.dataprocessclient.create_data_process(ctd_L2_density_dprocdef_id, [ctd_parsed_data_product], {'output':ctd_l2_density_output_dp_id})
self.dataprocessclient.activate_data_process(l2_density_all_data_process_id)
except BadRequest as ex:
self.fail("failed to create new data process: %s" %ex)
log.debug("test_createTransformsThenActivateInstrument: create L2_Density data_process return")
#-------------------------------
# Launch InstrumentAgentInstance, connect to the resource agent client
#-------------------------------
self.imsclient.start_instrument_agent_instance(instrument_agent_instance_id=instAgentInstance_id)
inst_agent_instance_obj= self.imsclient.read_instrument_agent_instance(instAgentInstance_id)
print 'test_createTransformsThenActivateInstrument: Instrument agent instance obj: = ', inst_agent_instance_obj
# Start a resource agent client to talk with the instrument agent.
self._ia_client = ResourceAgentClient('iaclient', name=inst_agent_instance_obj.agent_process_id, process=FakeProcess())
print 'activate_instrument: got ia client %s', self._ia_client
log.debug(" test_createTransformsThenActivateInstrument:: got ia client %s", str(self._ia_client))
#-------------------------------
# Streaming
#-------------------------------
cmd = AgentCommand(command='initialize')
retval = self._ia_client.execute_agent(cmd)
log.debug("test_activateInstrumentStream: initialize %s", str(retval))
log.debug("test_activateInstrumentStream: Sending go_active command (L4-CI-SA-RQ-334)")
cmd = AgentCommand(command='go_active')
reply = self._ia_client.execute_agent(cmd)
log.debug("test_activateInstrumentStream: return value from go_active %s", str(reply))
cmd = AgentCommand(command='get_current_state')
retval = self._ia_client.execute_agent(cmd)
state = retval.result
log.debug("test_activateInstrumentStream: current state after sending go_active command %s (L4-CI-SA-RQ-334)", str(state))
cmd = AgentCommand(command='run')
reply = self._ia_client.execute_agent(cmd)
cmd = AgentCommand(command='get_current_state')
retval = self._ia_client.execute_agent(cmd)
state = retval.result
log.debug("test_activateInstrumentStream: return from run state: %s", str(state))
# Make sure the sampling rate and transmission are sane.
params = {
SBE37Parameter.NAVG : 1,
SBE37Parameter.INTERVAL : 5,
SBE37Parameter.TXREALTIME : True
}
self._ia_client.set_param(params)
log.debug("test_activateInstrumentStream: calling go_streaming ")
cmd = AgentCommand(command='go_streaming')
reply = self._ia_client.execute_agent(cmd)
cmd = AgentCommand(command='get_current_state')
retval = self._ia_client.execute_agent(cmd)
state = retval.result
log.debug("test_activateInstrumentStream: return from go_streaming state: %s", str(state))
time.sleep(7)
log.debug("test_activateInstrumentStream: calling go_observatory")
cmd = AgentCommand(command='go_observatory')
reply = self._ia_client.execute_agent(cmd)
cmd = AgentCommand(command='get_current_state')
retval = self._ia_client.execute_agent(cmd)
state = retval.result
log.debug("test_activateInstrumentStream: return from go_observatory state %s", str(state))
log.debug("test_activateInstrumentStream: calling reset ")
cmd = AgentCommand(command='reset')
reply = self._ia_client.execute_agent(cmd)
log.debug("test_activateInstrumentStream: return from reset state:%s", str(reply.result))
time.sleep(2)
#-------------------------------
# Deactivate InstrumentAgentInstance
#-------------------------------
self.imsclient.stop_instrument_agent_instance(instrument_agent_instance_id=instAgentInstance_id)
for pid in self.loggerpids:
self.processdispatchclient.cancel_process(pid)
class TestDataProductManagementServiceIntegration(IonIntegrationTestCase):
def setUp(self):
# Start container
#print 'instantiating container'
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
self.dpsc_cli = DataProductManagementServiceClient()
self.rrclient = ResourceRegistryServiceClient()
self.damsclient = DataAcquisitionManagementServiceClient()
self.pubsubcli = PubsubManagementServiceClient()
self.ingestclient = IngestionManagementServiceClient()
self.process_dispatcher = ProcessDispatcherServiceClient()
self.dataset_management = DatasetManagementServiceClient()
self.unsc = UserNotificationServiceClient()
self.data_retriever = DataRetrieverServiceClient()
#------------------------------------------
# Create the environment
#------------------------------------------
self.stream_def_id = self.pubsubcli.create_stream_definition(
name='SBE37_CDM')
self.process_definitions = {}
ingestion_worker_definition = ProcessDefinition(
name='ingestion worker')
ingestion_worker_definition.executable = {
'module':
'ion.processes.data.ingestion.science_granule_ingestion_worker',
'class': 'ScienceGranuleIngestionWorker'
}
process_definition_id = self.process_dispatcher.create_process_definition(
process_definition=ingestion_worker_definition)
self.process_definitions['ingestion_worker'] = process_definition_id
self.pids = []
self.exchange_points = []
self.exchange_names = []
#------------------------------------------------------------------------------------------------
# First launch the ingestors
#------------------------------------------------------------------------------------------------
self.exchange_space = 'science_granule_ingestion'
self.exchange_point = 'science_data'
config = DotDict()
config.process.datastore_name = 'datasets'
config.process.queue_name = self.exchange_space
self.exchange_names.append(self.exchange_space)
self.exchange_points.append(self.exchange_point)
pid = self.process_dispatcher.schedule_process(
self.process_definitions['ingestion_worker'], configuration=config)
log.debug("the ingestion worker process id: %s", pid)
self.pids.append(pid)
self.addCleanup(self.cleaning_up)
def cleaning_up(self):
for pid in self.pids:
log.debug("number of pids to be terminated: %s", len(self.pids))
try:
self.process_dispatcher.cancel_process(pid)
log.debug("Terminated the process: %s", pid)
except:
log.debug("could not terminate the process id: %s" % pid)
IngestionManagementIntTest.clean_subscriptions()
for xn in self.exchange_names:
xni = self.container.ex_manager.create_xn_queue(xn)
xni.delete()
for xp in self.exchange_points:
xpi = self.container.ex_manager.create_xp(xp)
xpi.delete()
def get_datastore(self, dataset_id):
dataset = self.dataset_management.read_dataset(dataset_id)
datastore_name = dataset.datastore_name
datastore = self.container.datastore_manager.get_datastore(
datastore_name, DataStore.DS_PROFILE.SCIDATA)
return datastore
@attr('EXT')
@attr('PREP')
def test_create_data_product(self):
#------------------------------------------------------------------------------------------------
# create a stream definition for the data from the ctd simulator
#------------------------------------------------------------------------------------------------
parameter_dictionary = self.dataset_management.read_parameter_dictionary_by_name(
'ctd_parsed_param_dict')
ctd_stream_def_id = self.pubsubcli.create_stream_definition(
name='Simulated CTD data',
parameter_dictionary_id=parameter_dictionary._id)
log.debug("Created stream def id %s" % ctd_stream_def_id)
#------------------------------------------------------------------------------------------------
# test creating a new data product w/o a stream definition
#------------------------------------------------------------------------------------------------
dp_obj = IonObject(RT.DataProduct,
name='DP1',
description='some new dp')
dp_obj.geospatial_bounds.geospatial_latitude_limit_north = 10.0
dp_obj.geospatial_bounds.geospatial_latitude_limit_south = -10.0
dp_obj.geospatial_bounds.geospatial_longitude_limit_east = 10.0
dp_obj.geospatial_bounds.geospatial_longitude_limit_west = -10.0
dp_obj.ooi_product_name = "PRODNAME"
#------------------------------------------------------------------------------------------------
# Create a set of ParameterContext objects to define the parameters in the coverage, add each to the ParameterDictionary
#------------------------------------------------------------------------------------------------
dp_id = self.dpsc_cli.create_data_product(
data_product=dp_obj, stream_definition_id=ctd_stream_def_id)
# Assert that the data product has an associated stream at this stage
stream_ids, _ = self.rrclient.find_objects(dp_id, PRED.hasStream,
RT.Stream, True)
self.assertNotEquals(len(stream_ids), 0)
# Assert that the data product has an associated stream def at this stage
stream_ids, _ = self.rrclient.find_objects(dp_id,
PRED.hasStreamDefinition,
RT.StreamDefinition, True)
self.assertNotEquals(len(stream_ids), 0)
self.dpsc_cli.activate_data_product_persistence(dp_id)
dp_obj = self.dpsc_cli.read_data_product(dp_id)
self.assertIsNotNone(dp_obj)
self.assertEquals(dp_obj.geospatial_point_center.lat, 0.0)
log.debug('Created data product %s', dp_obj)
#------------------------------------------------------------------------------------------------
# test creating a new data product with a stream definition
#------------------------------------------------------------------------------------------------
log.debug('Creating new data product with a stream definition')
dp_obj = IonObject(RT.DataProduct,
name='DP2',
description='some new dp')
dp_id2 = self.dpsc_cli.create_data_product(dp_obj, ctd_stream_def_id)
self.dpsc_cli.activate_data_product_persistence(dp_id2)
log.debug('new dp_id = %s' % dp_id2)
#------------------------------------------------------------------------------------------------
#make sure data product is associated with stream def
#------------------------------------------------------------------------------------------------
streamdefs = []
streams, _ = self.rrclient.find_objects(dp_id2, PRED.hasStream,
RT.Stream, True)
for s in streams:
log.debug("Checking stream %s" % s)
sdefs, _ = self.rrclient.find_objects(s, PRED.hasStreamDefinition,
RT.StreamDefinition, True)
for sd in sdefs:
log.debug("Checking streamdef %s" % sd)
streamdefs.append(sd)
self.assertIn(ctd_stream_def_id, streamdefs)
group_names = self.dpsc_cli.get_data_product_group_list()
self.assertIn("PRODNAME", group_names)
# test reading a non-existent data product
log.debug('reading non-existent data product')
with self.assertRaises(NotFound):
dp_obj = self.dpsc_cli.read_data_product('some_fake_id')
# update a data product (tests read also)
log.debug('Updating data product')
# first get the existing dp object
dp_obj = self.dpsc_cli.read_data_product(dp_id)
# now tweak the object
dp_obj.description = 'the very first dp'
dp_obj.geospatial_bounds.geospatial_latitude_limit_north = 20.0
dp_obj.geospatial_bounds.geospatial_latitude_limit_south = -20.0
dp_obj.geospatial_bounds.geospatial_longitude_limit_east = 20.0
dp_obj.geospatial_bounds.geospatial_longitude_limit_west = -20.0
# now write the dp back to the registry
update_result = self.dpsc_cli.update_data_product(dp_obj)
# now get the dp back to see if it was updated
dp_obj = self.dpsc_cli.read_data_product(dp_id)
self.assertEquals(dp_obj.description, 'the very first dp')
self.assertEquals(dp_obj.geospatial_point_center.lat, 0.0)
log.debug('Updated data product %s', dp_obj)
#test extension
extended_product = self.dpsc_cli.get_data_product_extension(dp_id)
self.assertEqual(dp_id, extended_product._id)
self.assertEqual(
ComputedValueAvailability.PROVIDED,
extended_product.computed.product_download_size_estimated.status)
self.assertEqual(
0, extended_product.computed.product_download_size_estimated.value)
self.assertEqual(ComputedValueAvailability.PROVIDED,
extended_product.computed.parameters.status)
#log.debug("test_create_data_product: parameters %s" % extended_product.computed.parameters.value)
def ion_object_encoder(obj):
return obj.__dict__
#test prepare for create
data_product_data = self.dpsc_cli.prepare_data_product_support()
#print simplejson.dumps(data_product_data, default=ion_object_encoder, indent= 2)
self.assertEqual(data_product_data._id, "")
self.assertEqual(data_product_data.type_, OT.DataProductPrepareSupport)
self.assertEqual(
len(data_product_data.associations['StreamDefinition'].resources),
2)
self.assertEqual(
len(data_product_data.associations['Dataset'].resources), 0)
self.assertEqual(
len(data_product_data.associations['StreamDefinition'].
associated_resources), 0)
self.assertEqual(
len(data_product_data.associations['Dataset'].associated_resources
), 0)
#test prepare for update
data_product_data = self.dpsc_cli.prepare_data_product_support(dp_id)
#print simplejson.dumps(data_product_data, default=ion_object_encoder, indent= 2)
self.assertEqual(data_product_data._id, dp_id)
self.assertEqual(data_product_data.type_, OT.DataProductPrepareSupport)
self.assertEqual(
len(data_product_data.associations['StreamDefinition'].resources),
2)
self.assertEqual(
len(data_product_data.associations['Dataset'].resources), 1)
self.assertEqual(
len(data_product_data.associations['StreamDefinition'].
associated_resources), 1)
self.assertEqual(
data_product_data.associations['StreamDefinition'].
associated_resources[0].s, dp_id)
self.assertEqual(
len(data_product_data.associations['Dataset'].associated_resources
), 1)
self.assertEqual(
data_product_data.associations['Dataset'].associated_resources[0].
s, dp_id)
# now 'delete' the data product
log.debug("deleting data product: %s" % dp_id)
self.dpsc_cli.delete_data_product(dp_id)
# Assert that there are no associated streams leftover after deleting the data product
stream_ids, assoc_ids = self.rrclient.find_objects(
dp_id, PRED.hasStream, RT.Stream, True)
self.assertEquals(len(stream_ids), 0)
self.assertEquals(len(assoc_ids), 0)
self.dpsc_cli.force_delete_data_product(dp_id)
# now try to get the deleted dp object
with self.assertRaises(NotFound):
dp_obj = self.dpsc_cli.read_data_product(dp_id)
# Get the events corresponding to the data product
ret = self.unsc.get_recent_events(resource_id=dp_id)
events = ret.value
for event in events:
log.debug("event time: %s" % event.ts_created)
self.assertTrue(len(events) > 0)
def test_data_product_stream_def(self):
pdict_id = self.dataset_management.read_parameter_dictionary_by_name(
'ctd_parsed_param_dict', id_only=True)
ctd_stream_def_id = self.pubsubcli.create_stream_definition(
name='Simulated CTD data', parameter_dictionary_id=pdict_id)
dp_obj = IonObject(RT.DataProduct,
name='DP1',
description='some new dp')
dp_id = self.dpsc_cli.create_data_product(
data_product=dp_obj, stream_definition_id=ctd_stream_def_id)
stream_def_id = self.dpsc_cli.get_data_product_stream_definition(dp_id)
self.assertEquals(ctd_stream_def_id, stream_def_id)
def test_derived_data_product(self):
pdict_id = self.dataset_management.read_parameter_dictionary_by_name(
'ctd_parsed_param_dict', id_only=True)
ctd_stream_def_id = self.pubsubcli.create_stream_definition(
name='ctd parsed', parameter_dictionary_id=pdict_id)
self.addCleanup(self.pubsubcli.delete_stream_definition,
ctd_stream_def_id)
dp = DataProduct(name='Instrument DP')
dp_id = self.dpsc_cli.create_data_product(
dp, stream_definition_id=ctd_stream_def_id)
self.addCleanup(self.dpsc_cli.force_delete_data_product, dp_id)
self.dpsc_cli.activate_data_product_persistence(dp_id)
self.addCleanup(self.dpsc_cli.suspend_data_product_persistence, dp_id)
dataset_ids, _ = self.rrclient.find_objects(subject=dp_id,
predicate=PRED.hasDataset,
id_only=True)
if not dataset_ids:
raise NotFound("Data Product %s dataset does not exist" %
str(dp_id))
dataset_id = dataset_ids[0]
# Make the derived data product
simple_stream_def_id = self.pubsubcli.create_stream_definition(
name='TEMPWAT stream def',
parameter_dictionary_id=pdict_id,
available_fields=['time', 'temp'])
tempwat_dp = DataProduct(name='TEMPWAT',
category=DataProductTypeEnum.DERIVED)
tempwat_dp_id = self.dpsc_cli.create_data_product(
tempwat_dp,
stream_definition_id=simple_stream_def_id,
parent_data_product_id=dp_id)
self.addCleanup(self.dpsc_cli.delete_data_product, tempwat_dp_id)
# Check that the streams associated with the data product are persisted with
stream_ids, _ = self.rrclient.find_objects(dp_id, PRED.hasStream,
RT.Stream, True)
for stream_id in stream_ids:
self.assertTrue(self.ingestclient.is_persisted(stream_id))
stream_id = stream_ids[0]
route = self.pubsubcli.read_stream_route(stream_id=stream_id)
rdt = RecordDictionaryTool(stream_definition_id=ctd_stream_def_id)
rdt['time'] = np.arange(20)
rdt['temp'] = np.arange(20)
rdt['pressure'] = np.arange(20)
publisher = StandaloneStreamPublisher(stream_id, route)
dataset_modified = Event()
def cb(*args, **kwargs):
dataset_modified.set()
es = EventSubscriber(event_type=OT.DatasetModified,
callback=cb,
origin=dataset_id,
auto_delete=True)
es.start()
self.addCleanup(es.stop)
publisher.publish(rdt.to_granule())
self.assertTrue(dataset_modified.wait(30))
tempwat_dataset_ids, _ = self.rrclient.find_objects(tempwat_dp_id,
PRED.hasDataset,
id_only=True)
tempwat_dataset_id = tempwat_dataset_ids[0]
granule = self.data_retriever.retrieve(
tempwat_dataset_id, delivery_format=simple_stream_def_id)
rdt = RecordDictionaryTool.load_from_granule(granule)
np.testing.assert_array_equal(rdt['time'], np.arange(20))
self.assertEquals(set(rdt.fields), set(['time', 'temp']))
def test_activate_suspend_data_product(self):
#------------------------------------------------------------------------------------------------
# create a stream definition for the data from the ctd simulator
#------------------------------------------------------------------------------------------------
pdict_id = self.dataset_management.read_parameter_dictionary_by_name(
'ctd_parsed_param_dict', id_only=True)
ctd_stream_def_id = self.pubsubcli.create_stream_definition(
name='Simulated CTD data', parameter_dictionary_id=pdict_id)
log.debug("Created stream def id %s" % ctd_stream_def_id)
#------------------------------------------------------------------------------------------------
# test creating a new data product w/o a stream definition
#------------------------------------------------------------------------------------------------
# Construct temporal and spatial Coordinate Reference System objects
dp_obj = IonObject(RT.DataProduct,
name='DP1',
description='some new dp')
log.debug("Created an IonObject for a data product: %s" % dp_obj)
#------------------------------------------------------------------------------------------------
# Create a set of ParameterContext objects to define the parameters in the coverage, add each to the ParameterDictionary
#------------------------------------------------------------------------------------------------
dp_id = self.dpsc_cli.create_data_product(
data_product=dp_obj, stream_definition_id=ctd_stream_def_id)
#------------------------------------------------------------------------------------------------
# Subscribe to persist events
#------------------------------------------------------------------------------------------------
queue = gevent.queue.Queue()
def info_event_received(message, headers):
queue.put(message)
es = EventSubscriber(event_type=OT.InformationContentStatusEvent,
callback=info_event_received,
origin=dp_id,
auto_delete=True)
es.start()
self.addCleanup(es.stop)
#------------------------------------------------------------------------------------------------
# test activate and suspend data product persistence
#------------------------------------------------------------------------------------------------
self.dpsc_cli.activate_data_product_persistence(dp_id)
dp_obj = self.dpsc_cli.read_data_product(dp_id)
self.assertIsNotNone(dp_obj)
dataset_ids, _ = self.rrclient.find_objects(subject=dp_id,
predicate=PRED.hasDataset,
id_only=True)
if not dataset_ids:
raise NotFound("Data Product %s dataset does not exist" %
str(dp_id))
dataset_id = dataset_ids[0]
# Check that the streams associated with the data product are persisted with
stream_ids, _ = self.rrclient.find_objects(dp_id, PRED.hasStream,
RT.Stream, True)
for stream_id in stream_ids:
self.assertTrue(self.ingestclient.is_persisted(stream_id))
stream_id = stream_ids[0]
route = self.pubsubcli.read_stream_route(stream_id=stream_id)
rdt = RecordDictionaryTool(stream_definition_id=ctd_stream_def_id)
rdt['time'] = np.arange(20)
rdt['temp'] = np.arange(20)
publisher = StandaloneStreamPublisher(stream_id, route)
dataset_modified = Event()
def cb(*args, **kwargs):
dataset_modified.set()
es = EventSubscriber(event_type=OT.DatasetModified,
callback=cb,
origin=dataset_id,
auto_delete=True)
es.start()
self.addCleanup(es.stop)
publisher.publish(rdt.to_granule())
self.assertTrue(dataset_modified.wait(30))
#--------------------------------------------------------------------------------
# Now get the data in one chunk using an RPC Call to start_retreive
#--------------------------------------------------------------------------------
replay_data = self.data_retriever.retrieve(dataset_ids[0])
self.assertIsInstance(replay_data, Granule)
log.debug(
"The data retriever was able to replay the dataset that was attached to the data product "
"we wanted to be persisted. Therefore the data product was indeed persisted with "
"otherwise we could not have retrieved its dataset using the data retriever. Therefore "
"this demonstration shows that L4-CI-SA-RQ-267 is satisfied: 'Data product management shall persist data products'"
)
data_product_object = self.rrclient.read(dp_id)
self.assertEquals(data_product_object.name, 'DP1')
self.assertEquals(data_product_object.description, 'some new dp')
log.debug(
"Towards L4-CI-SA-RQ-308: 'Data product management shall persist data product metadata'. "
" Attributes in create for the data product obj, name= '%s', description='%s', match those of object from the "
"resource registry, name='%s', desc='%s'" %
(dp_obj.name, dp_obj.description, data_product_object.name,
data_product_object.description))
#------------------------------------------------------------------------------------------------
# test suspend data product persistence
#------------------------------------------------------------------------------------------------
self.dpsc_cli.suspend_data_product_persistence(dp_id)
dataset_modified.clear()
rdt['time'] = np.arange(20, 40)
publisher.publish(rdt.to_granule())
self.assertFalse(dataset_modified.wait(2))
self.dpsc_cli.activate_data_product_persistence(dp_id)
dataset_modified.clear()
publisher.publish(rdt.to_granule())
self.assertTrue(dataset_modified.wait(30))
granule = self.data_retriever.retrieve(dataset_id)
rdt = RecordDictionaryTool.load_from_granule(granule)
np.testing.assert_array_almost_equal(rdt['time'], np.arange(40))
dataset_ids, _ = self.rrclient.find_objects(dp_id,
PRED.hasDataset,
id_only=True)
self.assertEquals(len(dataset_ids), 1)
self.dpsc_cli.suspend_data_product_persistence(dp_id)
self.dpsc_cli.force_delete_data_product(dp_id)
# now try to get the deleted dp object
with self.assertRaises(NotFound):
dp_obj = self.rrclient.read(dp_id)
info_event_counter = 0
runtime = 0
starttime = time.time()
caught_events = []
#check that the four InfoStatusEvents were received
while info_event_counter < 4 and runtime < 60:
a = queue.get(timeout=60)
caught_events.append(a)
info_event_counter += 1
runtime = time.time() - starttime
self.assertEquals(info_event_counter, 4)
