def setUp(self):
super(DataRetrieverServiceIntTest, self).setUp()
self._start_container()
self.container.start_rel_from_url('res/deploy/r2dm.yml')
self.couch = self.container.datastore_manager.get_datastore(
'test_data_retriever', profile=DataStore.DS_PROFILE.SCIDATA)
self.datastore_name = 'test_data_retriever'
self.dr_cli = DataRetrieverServiceClient(node=self.container.node)
self.dsm_cli = DatasetManagementServiceClient(node=self.container.node)
self.rr_cli = ResourceRegistryServiceClient(node=self.container.node)
self.ps_cli = PubsubManagementServiceClient(node=self.container.node)
self.tms_cli = TransformManagementServiceClient(
node=self.container.node)
self.pd_cli = ProcessDispatcherServiceClient(node=self.container.node)
xs_dot_xp = CFG.core_xps.science_data
try:
self.XS, xp_base = xs_dot_xp.split('.')
self.XP = '.'.join([bootstrap.get_sys_name(), xp_base])
except ValueError:
raise StandardError(
'Invalid CFG for core_xps.science_data: "%s"; must have "xs.xp" structure'
% xs_dot_xp)
self.thread_pool = list()
def setUp(self):
self._start_container()
self.container.start_rel_from_url('res/deploy/r2dm.yml')
self.ims_cli = IndexManagementServiceClient()
self.rr_cli = ResourceRegistryServiceClient()
self.index_name = 'test_index'
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 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 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')
self.RR = ResourceRegistryServiceClient(node=self.container.node)
self.RR2 = EnhancedResourceRegistryClient(self.RR)
self.OMS = ObservatoryManagementServiceClient(node=self.container.node)
self.org_management_service = OrgManagementServiceClient(
node=self.container.node)
self.IMS = InstrumentManagementServiceClient(node=self.container.node)
self.dpclient = DataProductManagementServiceClient(
node=self.container.node)
self.pubsubcli = PubsubManagementServiceClient(
node=self.container.node)
self.damsclient = DataAcquisitionManagementServiceClient(
node=self.container.node)
self.dataset_management = DatasetManagementServiceClient()
#print 'TestObservatoryManagementServiceIntegration: started services'
self.event_publisher = EventPublisher()
def setUp(self):
# Start container
#print 'instantiating 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.dpmsclient = DataProductManagementServiceClient(
node=self.container.node)
self.dataprocessclient = DataProcessManagementServiceClient(
node=self.container.node)
self.imsclient = InstrumentManagementServiceClient(
node=self.container.node)
self.omsclient = ObservatoryManagementServiceClient(
node=self.container.node)
self.process_dispatcher = ProcessDispatcherServiceClient()
self.dataset_management = DatasetManagementServiceClient()
# deactivate all data processes when tests are complete
def killAllDataProcesses():
for proc_id in self.rrclient.find_resources(
RT.DataProcess, None, None, True)[0]:
self.dataprocessclient.deactivate_data_process(proc_id)
self.dataprocessclient.delete_data_process(proc_id)
self.addCleanup(killAllDataProcesses)
def setUp(self):
# Start container
super(TestRSNIntegration, self).setUp()
config = DotDict()
#config.bootstrap.use_es = True
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.pubsubclient = 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.dataproductclient = DataProductManagementServiceClient(
node=self.container.node)
self.dataset_management = DatasetManagementServiceClient()
self.catch_alert = gevent.queue.Queue()
def setUp(self):
# Start container by calling parent's setUp
super(TestAssembly, self).setUp()
# Now create client to DataProductManagementService
self.client = DotDict()
self.client.DAMS = DataAcquisitionManagementServiceClient(
node=self.container.node)
self.client.DPMS = DataProductManagementServiceClient(
node=self.container.node)
self.client.IMS = InstrumentManagementServiceClient(
node=self.container.node)
self.client.OMS = ObservatoryManagementServiceClient(
node=self.container.node)
self.client.PSMS = PubsubManagementServiceClient(
node=self.container.node)
self.client.DPRS = DataProcessManagementServiceClient(
node=self.container.node)
self.client.RR = ResourceRegistryServiceClient(
node=self.container.node)
self.RR2 = EnhancedResourceRegistryClient(self.client.RR)
self.dataset_management = DatasetManagementServiceClient()
# deactivate all data processes when tests are complete
def killAllDataProcesses():
for proc_id in self.client.RR.find_resources(
RT.DataProcess, None, None, True)[0]:
self.client.DPRS.deactivate_data_process(proc_id)
self.client.DPRS.delete_data_process(proc_id)
self.addCleanup(killAllDataProcesses)
def setUp(self):
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
# Instantiate a process to represent the test
process = TransformWorkerTestProcess()
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.damsclient = DataAcquisitionManagementServiceClient(
node=self.container.node)
self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
self.imsclient = InstrumentManagementServiceProcessClient(
node=self.container.node, process=process)
self.time_dom, self.spatial_dom = time_series_domain()
self.ph = ParameterHelper(self.dataset_management_client,
self.addCleanup)
self.wait_time = CFG.get_safe('endpoint.receive.timeout', 10)
def setUp(self):
super(DiscoveryIntTest, self).setUp()
self._start_container()
self.addCleanup(DiscoveryIntTest.es_cleanup)
self.container.start_rel_from_url('res/deploy/r2dm.yml')
self.discovery = DiscoveryServiceClient()
self.catalog = CatalogManagementServiceClient()
self.ims = IndexManagementServiceClient()
self.rr = ResourceRegistryServiceClient()
if use_es:
self.es_host = CFG.get_safe('server.elasticsearch.host', 'localhost')
self.es_port = CFG.get_safe('server.elasticsearch.port', '9200')
CFG.server.elasticsearch.shards = 1
CFG.server.elasticsearch.replicas = 0
CFG.server.elasticsearch.river_shards = 1
CFG.server.elasticsearch.river_replicas = 0
self.es = ep.ElasticSearch(
host=self.es_host,
port=self.es_port,
timeout=10,
verbose=True
)
op = DotDict(CFG)
op.op = 'clean_bootstrap'
self.container.spawn_process('index_bootstrap','ion.processes.bootstrap.index_bootstrap','IndexBootStrap', op)
def helper_create_highcharts_workflow_def(container):
from interface.services.coi.iresource_registry_service import ResourceRegistryServiceClient
rrclient = ResourceRegistryServiceClient(node=container.node)
# Check to see if the workflow defnition already exist
workflow_def_ids,_ = rrclient.find_resources(restype=RT.WorkflowDefinition, name='Realtime_HighCharts', id_only=True)
if len(workflow_def_ids) > 0:
workflow_def_id = workflow_def_ids[0]
else:
# Build the workflow definition
workflow_def_obj = IonObject(RT.WorkflowDefinition, name='Realtime_HighCharts',description='Convert stream data to HighCharts data')
#Add a transformation process definition
procdef_id = helper_create_highcharts_data_process_definition(container)
workflow_step_obj = IonObject('DataProcessWorkflowStep', data_process_definition_id=procdef_id)
workflow_def_obj.workflow_steps.append(workflow_step_obj)
#Create it in the resource registry
from interface.services.ans.iworkflow_management_service import WorkflowManagementServiceClient
workflowclient = WorkflowManagementServiceClient(node=container.node)
workflow_def_id = workflowclient.create_workflow_definition(workflow_def_obj)
return workflow_def_id
def setUp(self):
self._start_container()
self.container.start_rel_from_url('res/deploy/r2dm.yml')
self.unsc = UserNotificationServiceClient(node=self.container.node)
self.rrc = ResourceRegistryServiceClient(node=self.container.node)
self.imc = IdentityManagementServiceClient(node=self.container.node)
def setUp(self):
# Start container
#print 'instantiating 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.dpmsclient = DataProductManagementServiceClient(node=self.container.node)
self.dataprocessclient = DataProcessManagementServiceClient(node=self.container.node)
self.imsclient = InstrumentManagementServiceClient(node=self.container.node)
self.omsclient = ObservatoryManagementServiceClient(node=self.container.node)
self.process_dispatcher = ProcessDispatcherServiceClient()
self.dataset_management = DatasetManagementServiceClient()
# create missing data process definition
dpd_obj = IonObject(RT.DataProcessDefinition,
name=LOGICAL_TRANSFORM_DEFINITION_NAME,
description="normally in preload",
module='ion.processes.data.transforms.logical_transform',
class_name='logical_transform')
self.dataprocessclient.create_data_process_definition(dpd_obj)
# deactivate all data processes when tests are complete
def killAllDataProcesses():
for proc_id in self.rrclient.find_resources(RT.DataProcess, None, None, True)[0]:
self.dataprocessclient.deactivate_data_process(proc_id)
self.dataprocessclient.delete_data_process(proc_id)
self.addCleanup(killAllDataProcesses)
def _update_new_data_check_attachment(cls, res_id, new_content):
"""
Update the list of data files for the external dataset resource
@param res_id the ID of the external dataset resource
@param new_content list of new files found on data host
@throws InstrumentException if external dataset resource can't be found
@retval the attachment ID
"""
rr_cli = ResourceRegistryServiceClient()
try:
# Delete any attachments with the "NewDataCheck" keyword
attachment_objs = rr_cli.find_attachments(resource_id=res_id, include_content=False, id_only=False)
for attachment_obj in attachment_objs:
kwds = set(attachment_obj.keywords)
if 'NewDataCheck' in kwds:
log.debug('Delete NewDataCheck attachment: {0}'.format(attachment_obj._id))
rr_cli.delete_attachment(attachment_obj._id)
else:
log.debug('Found attachment: {0}'.format(attachment_obj))
# Create the new attachment
att = Attachment(name='new_data_check', attachment_type=AttachmentType.ASCII, keywords=['NewDataCheck', ], content_type='text/plain', content=msgpack.packb(new_content))
att_id = rr_cli.create_attachment(resource_id=res_id, attachment=att)
except NotFound:
raise InstrumentException('ExternalDatasetResource \'{0}\' not found'.format(res_id))
return att_id
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 setUp(self):
# Start container
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
self.omsclient = ObservatoryManagementServiceClient(node=self.container.node)
self.imsclient = InstrumentManagementServiceClient(node=self.container.node)
self.dmpsclient = DataProductManagementServiceClient(node=self.container.node)
self.damsclient = DataAcquisitionManagementServiceClient(node=self.container.node)
self.psmsclient = PubsubManagementServiceClient(node=self.container.node)
self.dataset_management = DatasetManagementServiceClient()
self.c = DotDict()
self.c.resource_registry = self.rrclient
self.RR2 = EnhancedResourceRegistryClient(self.rrclient)
self.dsmsclient = DataProcessManagementServiceClient(node=self.container.node)
# deactivate all data processes when tests are complete
def killAllDataProcesses():
for proc_id in self.rrclient.find_resources(RT.DataProcess, None, None, True)[0]:
self.dsmsclient.deactivate_data_process(proc_id)
self.dsmsclient.delete_data_process(proc_id)
self.addCleanup(killAllDataProcesses)
def setUp(self):
# Start container
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
# Now create client to bank service
self.resource_registry_service = ResourceRegistryServiceClient()
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)
self.dataretrieverclient = DataRetrieverServiceClient(
node=self.container.node)
self.dataset_management = DatasetManagementServiceClient()
#setup listerner vars
self._data_greenlets = []
self._no_samples = None
self._samples_received = []
self.event_publisher = EventPublisher()
def is_service_available(self, service_name, local_rr_only=False):
try:
service_resource = None
from pyon.core.bootstrap import container_instance
from interface.objects import ServiceStateEnum
#Use container direct RR connection if available, otherwise use messaging to the RR service
if hasattr(container_instance,
'has_capability') and container_instance.has_capability(
'RESOURCE_REGISTRY'):
service_resource, _ = container_instance.resource_registry.find_resources(
restype='Service', name=service_name)
else:
if not local_rr_only:
from interface.services.coi.iresource_registry_service import ResourceRegistryServiceClient
rr_client = ResourceRegistryServiceClient(
container_instance.node)
service_resource, _ = rr_client.find_resources(
restype='Service', name=service_name)
#The service is available only of there is a single RR object for it and it is in one of these states:
if service_resource and (
service_resource[0].state == ServiceStateEnum.READY
or service_resource[0].state == ServiceStateEnum.STEADY):
return True
return False
except Exception, e:
return False
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.pubsubcli = PubsubManagementServiceClient(
node=self.container.node)
self.ingestclient = IngestionManagementServiceClient(
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)
#setup listerner vars
self._data_greenlets = []
self._no_samples = None
self._samples_received = []
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)
def setUp(self):
# Start container
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
self.rrclient = ResourceRegistryServiceClient(node=self.container.node)
self.omsclient = ObservatoryManagementServiceClient(node=self.container.node)
self.imsclient = InstrumentManagementServiceClient(node=self.container.node)
def setUp(self):
# Start container
self._start_container()
self.container.start_rel_from_url('res/deploy/r2coi.yml')
self.resource_registry = ResourceRegistryServiceClient(node=self.container.node)
self.org_management_service = OrgManagementServiceClient(node=self.container.node)
def setUp(self):
super(CatalogManagementIntTest,self).setUp()
self._start_container()
self.container.start_rel_from_url('res/deploy/r2dm.yml')
self.cms_cli = CatalogManagementServiceClient()
self.rr_cli = ResourceRegistryServiceClient()
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 setUp(self):
self._start_container()
self._pp = pprint.PrettyPrinter()
log.debug("oms_uri = %s", OMS_URI)
self.oms = CIOMSClientFactory.create_instance(OMS_URI)
self._get_platform_attributes()
url = OmsTestMixin.start_http_server()
log.info("TestPlatformInstrument:setup http url %s", url)
result = self.oms.event.register_event_listener(url)
log.info(
"TestPlatformInstrument:setup register_event_listener result %s",
result)
# response = self.oms.port.get_platform_ports('LPJBox_CI_Ben_Hall')
# log.info("TestPlatformInstrument:setup get_platform_ports %s", response)
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.imsclient = InstrumentManagementServiceClient(
node=self.container.node)
self.datasetclient = DatasetManagementServiceClient(
node=self.container.node)
self.processdispatchclient = ProcessDispatcherServiceClient(
node=self.container.node)
self.dpclient = DataProductManagementServiceClient(
node=self.container.node)
self.damsclient = DataAcquisitionManagementServiceClient(
node=self.container.node)
self.dataset_management = DatasetManagementServiceClient()
self.RR2 = EnhancedResourceRegistryClient(self.rrclient)
self.org_id = self.RR2.create(any_old(RT.Org))
log.debug("Org created: %s", self.org_id)
# see _set_receive_timeout
self._receive_timeout = 177
self.instrument_device = ''
self.platform_device = ''
self.platform_agent_instance_id = ''
self._pa_client = ''
def done():
CIOMSClientFactory.destroy_instance(self.oms)
event_notifications = OmsTestMixin.stop_http_server()
log.info("event_notifications = %s" % str(event_notifications))
self.addCleanup(done)
def setUp(self):
# Start container
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
self.generic_int_helper_rr = ResourceRegistryServiceClient(
node=self.container.node)
self.generic_int_helper_rr2 = EnhancedResourceRegistryClient(
self.generic_int_helper_rr)
def setUp(self):
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
self.ingestion_management = IngestionManagementServiceClient()
self.resource_registry = ResourceRegistryServiceClient()
self.pubsub_management = PubsubManagementServiceClient()
self.ingest_name = 'basic'
self.exchange = 'testdata'
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.dataprocessclient = DataProcessManagementServiceClient(node=self.container.node)
def __init__(self):
self.ingestion_management = IngestionManagementServiceClient()
self.resource_registry = ResourceRegistryServiceClient()
self.data_product_management = DataProductManagementServiceClient()
self.dataset_management = DatasetManagementServiceClient()
self._paused_streams = []
self._w_covs = {}
self._ro_covs = {}
self._context_managed = False
