def _start_raw_ingestion(self):
dpsc_cli = DataProductManagementServiceClient()
rrclient = ResourceRegistryServiceClient()
RR2 = EnhancedResourceRegistryClient(rrclient)
# 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.info("Create data product... raw stream id: %s", self._raw_stream_id)
dp_id = dpsc_cli.create_data_product_(data_product= dp_obj)
dataset_id = self.create_dataset(self._raw_stream_pdict_id)
RR2.assign_stream_definition_to_data_product_with_has_stream_definition(self._raw_stream_def_id, dp_id)
RR2.assign_stream_to_data_product_with_has_stream(self._raw_stream_id, dp_id)
RR2.assign_dataset_to_data_product_with_has_dataset(dataset_id, dp_id)
self._raw_dataset_id = dataset_id
log.info("Create data product...Complete")
# Assert that the data product has an associated stream at this stage
stream_ids, _ = 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, _ = rrclient.find_objects(dp_id, PRED.hasStreamDefinition, RT.StreamDefinition, True)
self.assertNotEquals(len(stream_ids), 0)
log.info("Activate data product persistence")
dpsc_cli.activate_data_product_persistence(dp_id)
log.info("Read data product")
dp_obj = 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)
class TestIntDataProcessManagementServiceMultiOut(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()
self.damsclient = DataAcquisitionManagementServiceClient()
self.pubsubclient = PubsubManagementServiceClient()
self.ingestclient = IngestionManagementServiceClient()
self.imsclient = InstrumentManagementServiceClient()
self.dataproductclient = DataProductManagementServiceClient()
self.dataprocessclient = DataProcessManagementServiceClient()
self.datasetclient = DatasetManagementServiceClient()
self.dataset_management = self.datasetclient
self.process_dispatcher = ProcessDispatcherServiceClient()
def test_create_data_process_definition(self):
pfunc = ParameterFunction(name='test_func')
func_id = self.dataset_management.create_parameter_function(pfunc)
data_process_definition = DataProcessDefinition()
data_process_definition.name = 'Simple'
dpd_id = self.dataprocessclient.create_data_process_definition(data_process_definition, func_id)
self.addCleanup(self.dataprocessclient.delete_data_process_definition, dpd_id)
self.addCleanup(self.dataset_management.delete_parameter_function, func_id)
objs, _ = self.rrclient.find_objects(dpd_id, PRED.hasParameterFunction, id_only=False)
self.assertEquals(len(objs), 1)
self.assertIsInstance(objs[0], ParameterFunction)
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 build(resource_id, depth=0):
''' Constructs a JSONtree for the specified resource.
The tree is built downward so all associations from this resource down are included.
'''
rr_cli = ResourceRegistryServiceClient()
resource = rr_cli.read(resource_id)
root = jt(resource.name or resource._id)
root.id = resource_id
obj_list, assoc_list = rr_cli.find_objects(subject=resource_id,id_only=True)
if not obj_list:
root.leaf = True
return root
for obj,assoc in zip(obj_list,assoc_list):
if obj and not (depth > tree_depth_max):
root.add_child(build(obj,depth+1),assoc.p)
return root
class TestTransformWorker(IonIntegrationTestCase):
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 push_granule(self, data_product_id):
'''
Publishes and monitors that the granule arrived
'''
datasets, _ = self.rrclient.find_objects(data_product_id, PRED.hasDataset, id_only=True)
dataset_monitor = DatasetMonitor(datasets[0])
rdt = self.ph.rdt_for_data_product(data_product_id)
self.ph.fill_parsed_rdt(rdt)
self.ph.publish_rdt_to_data_product(data_product_id, rdt)
assert dataset_monitor.wait()
dataset_monitor.stop()
@attr('LOCOINT')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False), 'Skip test while in CEI LAUNCH mode')
def test_transform_worker(self):
# test that a data process (type: data-product-in / data-product-out) can be defined and launched.
# verify that the output granule fields are correctly populated
# test that the input and output data products are linked to facilitate provenance
self.dp_list = []
self.data_process_objs = []
self._output_stream_ids = []
self.granule_verified = Event()
self.worker_assigned_event_verified = Event()
self.dp_created_event_verified = Event()
self.heartbeat_event_verified = Event()
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 that is the input to the data processes
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]
self.start_event_listener()
# create the DPD, DataProcess and output DataProduct
dataprocessdef_id, dataprocess_id, dataproduct_id = self.create_data_process()
self.dp_list.append(dataprocess_id)
# validate the repository for data product algorithms persists the new resources NEW SA-1
# create_data_process call created one of each
dpd_ids, _ = self.rrclient.find_resources(restype=OT.DataProcessDefinition, id_only=False)
# there will be more than one becuase of the DPDs that reperesent the PFs in the data product above
self.assertTrue(dpd_ids is not None)
dp_ids, _ = self.rrclient.find_resources(restype=OT.DataProcess, id_only=False)
# only one DP becuase the PFs that are in the code dataproduct above are not activated yet.
self.assertEquals(len(dp_ids), 1)
# validate the name and version label NEW SA - 2
dataprocessdef_obj = self.dataprocessclient.read_data_process_definition(dataprocessdef_id)
self.assertEqual(dataprocessdef_obj.version_label, '1.0a')
self.assertEqual(dataprocessdef_obj.name, 'add_arrays')
# validate that the DPD has an attachment NEW SA - 21
attachment_ids, assoc_ids = self.rrclient.find_objects(dataprocessdef_id, PRED.hasAttachment, RT.Attachment, True)
self.assertEqual(len(attachment_ids), 1)
attachment_obj = self.rrclient.read_attachment(attachment_ids[0])
log.debug('attachment: %s', attachment_obj)
# validate that the data process resource has input and output data products associated
# L4-CI-SA-RQ-364 and NEW SA-3
outproduct_ids, assoc_ids = self.rrclient.find_objects(dataprocess_id, PRED.hasOutputProduct, RT.DataProduct, True)
self.assertEqual(len(outproduct_ids), 1)
inproduct_ids, assoc_ids = self.rrclient.find_objects(dataprocess_id, PRED.hasInputProduct, RT.DataProduct, True)
self.assertEqual(len(inproduct_ids), 1)
# Test for provenance. Get Data product produced by the data processes
output_data_product_id,_ = self.rrclient.find_objects(subject=dataprocess_id,
object_type=RT.DataProduct,
predicate=PRED.hasOutputProduct,
id_only=True)
output_data_product_provenance = self.dataproductclient.get_data_product_provenance(output_data_product_id[0])
# Do a basic check to see if there were 3 entries in the provenance graph. Parent and Child and the
# DataProcessDefinition creating the child from the parent.
self.assertTrue(len(output_data_product_provenance) == 2)
self.assertTrue(self.input_dp_id in output_data_product_provenance[output_data_product_id[0]]['parents'])
self.assertTrue(output_data_product_provenance[output_data_product_id[0]]['parents'][self.input_dp_id]['data_process_definition_id'] == dataprocessdef_id)
# NEW SA - 4 | Data processing shall include the appropriate data product algorithm name and version number in
# the metadata of each output data product created by the data product algorithm.
output_data_product_obj,_ = self.rrclient.find_objects(subject=dataprocess_id,
object_type=RT.DataProduct,
predicate=PRED.hasOutputProduct,
id_only=False)
self.assertTrue(output_data_product_obj[0].name != None)
self.assertTrue(output_data_product_obj[0]._rev != None)
# retrieve subscription from data process
subscription_objs, _ = self.rrclient.find_objects(subject=dataprocess_id, predicate=PRED.hasSubscription, object_type=RT.Subscription, id_only=False)
log.debug('test_transform_worker subscription_obj: %s', subscription_objs[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=subscription_objs[0].exchange_name)
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 )
for n in range(1, 101):
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())
# validate that the output granule is received and the updated value is correct
self.assertTrue(self.granule_verified.wait(self.wait_time))
# validate that the data process loaded into worker event is received (L4-CI-SA-RQ-182)
self.assertTrue(self.worker_assigned_event_verified.wait(self.wait_time))
# validate that the data process create (with data product ids) event is received (NEW SA -42)
self.assertTrue(self.dp_created_event_verified.wait(self.wait_time))
# validate that the data process heartbeat event is received (for every hundred granules processed) (L4-CI-SA-RQ-182)
#this takes a while so set wait limit to large value
self.assertTrue(self.heartbeat_event_verified.wait(200))
# validate that the code from the transform function can be retrieve via inspect_data_process_definition
src = self.dataprocessclient.inspect_data_process_definition(dataprocessdef_id)
self.assertIn( 'def add_arrays(a, b)', src)
# now delete the DPD and DP then verify that the resources are retired so that information required for provenance are still available
self.dataprocessclient.delete_data_process(dataprocess_id)
self.dataprocessclient.delete_data_process_definition(dataprocessdef_id)
in_dp_objs, _ = self.rrclient.find_objects(subject=dataprocess_id, predicate=PRED.hasInputProduct, object_type=RT.DataProduct, id_only=True)
self.assertTrue(in_dp_objs is not None)
dpd_objs, _ = self.rrclient.find_subjects(subject_type=RT.DataProcessDefinition, predicate=PRED.hasDataProcess, object=dataprocess_id, id_only=True)
self.assertTrue(dpd_objs is not None)
@attr('LOCOINT')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False), 'Skip test while in CEI LAUNCH mode')
def test_transform_worker_with_instrumentdevice(self):
# test that a data process (type: data-product-in / data-product-out) can be defined and launched.
# verify that the output granule fields are correctly populated
# test that the input and output data products are linked to facilitate provenance
self.data_process_objs = []
self._output_stream_ids = []
self.event_verified = Event()
# Create CTD Parsed as the initial data product
# create a stream definition for the data from the ctd simulator
self.parameter_dict_id = self.dataset_management_client.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
self.stream_def_id = self.pubsub_client.create_stream_definition(name='stream_def', parameter_dictionary_id=self.parameter_dict_id)
# create the DataProduct that is the input to the data processes
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]
log.debug('new ctd_parsed_data_product_id = %s' % self.input_dp_id)
# only ever need one device for testing purposes.
instDevice_obj,_ = self.rrclient.find_resources(restype=RT.InstrumentDevice, name='test_ctd_device')
if instDevice_obj:
instDevice_id = instDevice_obj[0]._id
else:
instDevice_obj = IonObject(RT.InstrumentDevice, name='test_ctd_device', description="test_ctd_device", 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=self.input_dp_id)
# create the DPD, DataProcess and output DataProduct
dataprocessdef_id, dataprocess_id, dataproduct_id = self.create_data_process()
self.addCleanup(self.dataprocessclient.delete_data_process, dataprocess_id)
self.addCleanup(self.dataprocessclient.delete_data_process_definition, dataprocessdef_id)
# Test for provenance. Get Data product produced by the data processes
output_data_product_id,_ = self.rrclient.find_objects(subject=dataprocess_id,
object_type=RT.DataProduct,
predicate=PRED.hasOutputProduct,
id_only=True)
output_data_product_provenance = self.dataproductclient.get_data_product_provenance(output_data_product_id[0])
# Do a basic check to see if there were 3 entries in the provenance graph. Parent and Child and the
# DataProcessDefinition creating the child from the parent.
self.assertTrue(len(output_data_product_provenance) == 3)
self.assertTrue(self.input_dp_id in output_data_product_provenance[output_data_product_id[0]]['parents'])
self.assertTrue(instDevice_id in output_data_product_provenance[self.input_dp_id]['parents'])
self.assertTrue(output_data_product_provenance[instDevice_id]['type'] == 'InstrumentDevice')
@attr('LOCOINT')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False), 'Skip test while in CEI LAUNCH mode')
def test_transform_worker_with_platformdevice(self):
# test that a data process (type: data-product-in / data-product-out) can be defined and launched.
# verify that the output granule fields are correctly populated
# test that the input and output data products are linked to facilitate provenance
self.data_process_objs = []
self._output_stream_ids = []
self.event_verified = Event()
# Create CTD Parsed as the initial data product
# create a stream definition for the data from the ctd simulator
self.parameter_dict_id = self.dataset_management_client.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
self.stream_def_id = self.pubsub_client.create_stream_definition(name='stream_def', parameter_dictionary_id=self.parameter_dict_id)
# create the DataProduct that is the input to the data processes
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]
log.debug('new ctd_parsed_data_product_id = %s' % self.input_dp_id)
# only ever need one device for testing purposes.
platform_device_obj,_ = self.rrclient.find_resources(restype=RT.PlatformDevice, name='TestPlatform')
if platform_device_obj:
platform_device_id = platform_device_obj[0]._id
else:
platform_device_obj = IonObject(RT.PlatformDevice, name='TestPlatform', description="TestPlatform", serial_number="12345" )
platform_device_id = self.imsclient.create_platform_device(platform_device=platform_device_obj)
self.damsclient.assign_data_product(input_resource_id=platform_device_id, data_product_id=self.input_dp_id)
# create the DPD, DataProcess and output DataProduct
dataprocessdef_id, dataprocess_id, dataproduct_id = self.create_data_process()
self.addCleanup(self.dataprocessclient.delete_data_process, dataprocess_id)
self.addCleanup(self.dataprocessclient.delete_data_process_definition, dataprocessdef_id)
# Test for provenance. Get Data product produced by the data processes
output_data_product_id,_ = self.rrclient.find_objects(subject=dataprocess_id,
object_type=RT.DataProduct,
predicate=PRED.hasOutputProduct,
id_only=True)
output_data_product_provenance = self.dataproductclient.get_data_product_provenance(output_data_product_id[0])
# Do a basic check to see if there were 3 entries in the provenance graph. Parent and Child and the
# DataProcessDefinition creating the child from the parent.
self.assertTrue(len(output_data_product_provenance) == 3)
self.assertTrue(self.input_dp_id in output_data_product_provenance[output_data_product_id[0]]['parents'])
self.assertTrue(platform_device_id in output_data_product_provenance[self.input_dp_id]['parents'])
self.assertTrue(output_data_product_provenance[platform_device_id]['type'] == 'PlatformDevice')
@attr('LOCOINT')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False), 'Skip test while in CEI LAUNCH mode')
def test_event_transform_worker(self):
self.data_process_objs = []
self._output_stream_ids = []
self.event_verified = Event()
# test that a data process (type: data-product-in / event-out) can be defined and launched.
# verify that event fields are correctly populated
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 the DPD and two DPs
self.event_data_process_id = self.create_event_data_processes()
# retrieve subscription from data process
subscription_objs, _ = self.rrclient.find_objects(subject=self.event_data_process_id, predicate=PRED.hasSubscription, object_type=RT.Subscription, id_only=False)
log.debug('test_event_transform_worker subscription_obj: %s', subscription_objs[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=subscription_objs[0].exchange_name)
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_transform_listener()
self.data_modified = Event()
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.assertTrue(self.event_verified.wait(self.wait_time))
@attr('LOCOINT')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False), 'Skip test while in CEI LAUNCH mode')
def test_bad_argument_map(self):
self._output_stream_ids = []
# test that a data process (type: data-product-in / data-product-out) parameter mapping it validated during
# data process creation and that the correct exception is raised for both input and output.
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 that is the input to the data processes
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)
# two data processes using one transform and one DPD
dp1_func_output_dp_id = self.create_output_data_product()
# 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,
uri='http://sddevrepo.oceanobservatories.org/releases/ion_example-0.1-py2.7.egg'
)
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
)
add_array_dpd_id = self.dataprocessclient.create_data_process_definition(data_process_definition=dpd_obj, function_id=add_array_func_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(self.stream_def_id, add_array_dpd_id, binding='add_array_func' )
# create the data process with invalid argument map
argument_map = {"arr1": "foo", "arr2": "bar"}
output_param = "salinity"
with self.assertRaises(BadRequest) as cm:
dp1_data_process_id = self.dataprocessclient.create_data_process(data_process_definition_id=add_array_dpd_id, inputs=[self.input_dp_id],
outputs=[dp1_func_output_dp_id], argument_map=argument_map, out_param_name=output_param)
ex = cm.exception
log.debug(' exception raised: %s', cm)
self.assertEqual(ex.message, "Input data product does not contain the parameters defined in argument map")
# create the data process with invalid output parameter name
argument_map = {"arr1": "conductivity", "arr2": "pressure"}
output_param = "foo"
with self.assertRaises(BadRequest) as cm:
dp1_data_process_id = self.dataprocessclient.create_data_process(data_process_definition_id=add_array_dpd_id, inputs=[self.input_dp_id],
outputs=[dp1_func_output_dp_id], argument_map=argument_map, out_param_name=output_param)
ex = cm.exception
log.debug(' exception raised: %s', cm)
self.assertEqual(ex.message, "Output data product does not contain the output parameter name provided")
def create_event_data_processes(self):
# two data processes using one transform and one DPD
argument_map= {"a": "salinity"}
# set up DPD and DP #2 - array add function
tf_obj = IonObject(RT.TransformFunction,
name='validate_salinity_array',
description='validate_salinity_array',
function='validate_salinity_array',
module="ion.processes.data.transforms.test.test_transform_worker",
arguments=['a'],
function_type=TransformFunctionType.TRANSFORM
)
add_array_func_id, rev = self.rrclient.create(tf_obj)
dpd_obj = IonObject(RT.DataProcessDefinition,
name='validate_salinity_array',
description='validate_salinity_array',
data_process_type=DataProcessTypeEnum.TRANSFORM_PROCESS,
)
add_array_dpd_id = self.dataprocessclient.create_data_process_definition(data_process_definition=dpd_obj, function_id=add_array_func_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(self.stream_def_id, add_array_dpd_id, binding='validate_salinity_array' )
# create the data process
dp1_data_process_id = self.dataprocessclient.create_data_process(data_process_definition_id=add_array_dpd_id, inputs=[self.input_dp_id],
outputs=None, argument_map=argument_map)
self.damsclient.register_process(dp1_data_process_id)
self.addCleanup(self.dataprocessclient.delete_data_process, dp1_data_process_id)
return dp1_data_process_id
def create_data_process(self):
# two data processes using one transform and one DPD
dp1_func_output_dp_id = self.create_output_data_product()
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,
uri='http://sddevrepo.oceanobservatories.org/releases/ion_example-0.1-py2.7.egg'
)
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,
version_label='1.0a'
)
add_array_dpd_id = self.dataprocessclient.create_data_process_definition(data_process_definition=dpd_obj, function_id=add_array_func_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(self.stream_def_id, add_array_dpd_id, binding='add_array_func' )
# create the data process
dp1_data_process_id = self.dataprocessclient.create_data_process(data_process_definition_id=add_array_dpd_id, inputs=[self.input_dp_id],
outputs=[dp1_func_output_dp_id], argument_map=argument_map, out_param_name=output_param)
self.damsclient.register_process(dp1_data_process_id)
#self.addCleanup(self.dataprocessclient.delete_data_process, dp1_data_process_id)
# add an attachment object to this DPD to test new SA-21
import msgpack
attachment_content = 'foo bar'
attachment_obj = IonObject( RT.Attachment,
name='test_attachment',
attachment_type=AttachmentType.ASCII,
content_type='text/plain',
content=msgpack.packb(attachment_content))
att_id = self.rrclient.create_attachment(add_array_dpd_id, attachment_obj)
self.addCleanup(self.rrclient.delete_attachment, att_id)
return add_array_dpd_id, dp1_data_process_id, dp1_func_output_dp_id
def create_output_data_product(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])
subscription_id = self.pubsub_client.create_subscription('validator', data_product_ids=[dp1_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)
self.granule_verified.set()
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
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__))
# if data process already created, check origin
if self.dp_list:
self.assertIn( data_process_event.origin, self.dp_list)
# if this is a heartbeat event then 100 granules have been processed
if 'data process status update.' in data_process_event.description:
self.heartbeat_event_verified.set()
else:
# else check that this is the assign event
if 'Data process assigned to transform worker' in data_process_event.description:
self.worker_assigned_event_verified.set()
elif 'Data process created for data product' in data_process_event.description:
self.dp_created_event_verified.set()
def validate_output_granule(self, msg, route, stream_id):
self.assertIn( stream_id, self._output_stream_ids)
rdt = RecordDictionaryTool.load_from_granule(msg)
log.debug('validate_output_granule rdt: %s', rdt)
sal_val = rdt['salinity']
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 validate_transform_event(self, *args, **kwargs):
"""
This method is a callback function for receiving DataProcessStatusEvent.
"""
status_alert_event = args[0]
np.testing.assert_array_equal(status_alert_event.origin, self.stream_id )
np.testing.assert_array_equal(status_alert_event.values, np.array([self.event_data_process_id]))
log.debug("DeviceStatusAlertEvent: %s" , str(status_alert_event.__dict__))
self.event_verified.set()
def start_event_transform_listener(self):
es = EventSubscriber(event_type=OT.DeviceStatusAlertEvent, callback=self.validate_transform_event)
es.start()
self.addCleanup(es.stop)
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 TestIntDataProcessManagementServiceMultiOut(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.dataset_management = self.datasetclient
self.process_dispatcher = ProcessDispatcherServiceClient(node=self.container.node)
def test_createDataProcess(self):
#---------------------------------------------------------------------------
# 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')
dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
# Make assertion on the newly registered data process definition
data_process_definition = self.rrclient.read(dprocdef_id)
self.assertEquals(data_process_definition.name, 'ctd_L0_all')
self.assertEquals(data_process_definition.description, 'transform ctd package into three separate L0 streams')
self.assertEquals(data_process_definition.module, 'ion.processes.data.transforms.ctd.ctd_L0_all')
self.assertEquals(data_process_definition.class_name, 'ctd_L0_all')
# Read the data process definition using data process management and make assertions
dprocdef_obj = self.dataprocessclient.read_data_process_definition(dprocdef_id)
self.assertEquals(dprocdef_obj.class_name,'ctd_L0_all')
self.assertEquals(dprocdef_obj.module,'ion.processes.data.transforms.ctd.ctd_L0_all')
#---------------------------------------------------------------------------
# Create an input instrument
#---------------------------------------------------------------------------
instrument_obj = IonObject(RT.InstrumentDevice, name='Inst1',description='an instrument that is creating the data product')
instrument_id, rev = self.rrclient.create(instrument_obj)
# Register the instrument so that the data producer and stream object are created
data_producer_id = self.damsclient.register_instrument(instrument_id)
# 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.pubsubclient.create_stream_definition(name='Simulated CTD data', parameter_dictionary_id=pdict_id)
self.dataprocessclient.assign_input_stream_definition_to_data_process_definition(ctd_stream_def_id, dprocdef_id )
# Assert that the link between the stream definition and the data process definition was done
assocs = self.rrclient.find_associations(subject=dprocdef_id, predicate=PRED.hasInputStreamDefinition, object=ctd_stream_def_id, id_only=True)
self.assertIsNotNone(assocs)
#---------------------------------------------------------------------------
# Input Data Product
#---------------------------------------------------------------------------
tdom, sdom = time_series_domain()
sdom = sdom.dump()
tdom = tdom.dump()
input_dp_obj = IonObject( RT.DataProduct,
name='InputDataProduct',
description='some new dp',
temporal_domain = tdom,
spatial_domain = sdom)
input_dp_id = self.dataproductclient.create_data_product(data_product=input_dp_obj, stream_definition_id=ctd_stream_def_id, exchange_point='test')
#Make assertions on the input data product created
input_dp_obj = self.rrclient.read(input_dp_id)
self.assertEquals(input_dp_obj.name, 'InputDataProduct')
self.assertEquals(input_dp_obj.description, 'some new dp')
self.damsclient.assign_data_product(instrument_id, input_dp_id)
# Retrieve the stream via the DataProduct->Stream associations
stream_ids, _ = self.rrclient.find_objects(input_dp_id, PRED.hasStream, None, True)
self.in_stream_id = stream_ids[0]
#---------------------------------------------------------------------------
# Output Data Product
#---------------------------------------------------------------------------
outgoing_stream_conductivity_id = self.pubsubclient.create_stream_definition(name='conductivity', parameter_dictionary_id=pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_conductivity_id, dprocdef_id,binding='conductivity' )
outgoing_stream_pressure_id = self.pubsubclient.create_stream_definition(name='pressure', parameter_dictionary_id=pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_pressure_id, dprocdef_id, binding='pressure' )
outgoing_stream_temperature_id = self.pubsubclient.create_stream_definition(name='temperature', parameter_dictionary_id=pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_temperature_id, dprocdef_id, binding='temperature' )
self.output_products={}
output_dp_obj = IonObject(RT.DataProduct,
name='conductivity',
description='transform output conductivity',
temporal_domain = tdom,
spatial_domain = sdom)
output_dp_id_1 = self.dataproductclient.create_data_product(output_dp_obj, outgoing_stream_conductivity_id)
self.output_products['conductivity'] = output_dp_id_1
output_dp_obj = IonObject(RT.DataProduct,
name='pressure',
description='transform output pressure',
temporal_domain = tdom,
spatial_domain = sdom)
output_dp_id_2 = self.dataproductclient.create_data_product(output_dp_obj, outgoing_stream_pressure_id)
self.output_products['pressure'] = output_dp_id_2
output_dp_obj = IonObject(RT.DataProduct,
name='temperature',
description='transform output ',
temporal_domain = tdom,
spatial_domain = sdom)
output_dp_id_3 = self.dataproductclient.create_data_product(output_dp_obj, outgoing_stream_temperature_id)
self.output_products['temperature'] = output_dp_id_3
#---------------------------------------------------------------------------
# Create the data process
#---------------------------------------------------------------------------
def _create_data_process():
dproc_id = self.dataprocessclient.create_data_process(dprocdef_id, [input_dp_id], self.output_products)
return dproc_id
dproc_id = _create_data_process()
# Make assertions on the data process created
data_process = self.dataprocessclient.read_data_process(dproc_id)
# Assert that the data process has a process id attached
self.assertIsNotNone(data_process.process_id)
# Assert that the data process got the input data product's subscription id attached as its own input_susbcription_id attribute
self.assertIsNotNone(data_process.input_subscription_id)
output_data_product_ids = self.rrclient.find_objects(subject=dproc_id, predicate=PRED.hasOutputProduct, object_type=RT.DataProduct, id_only=True)
self.assertEquals(Set(output_data_product_ids[0]), Set([output_dp_id_1,output_dp_id_2,output_dp_id_3]))
@patch.dict(CFG, {'endpoint':{'receive':{'timeout': 60}}})
def test_createDataProcessUsingSim(self):
#-------------------------------
# Create InstrumentModel
#-------------------------------
instModel_obj = IonObject(RT.InstrumentModel, name='SBE37IMModel', description="SBE37IMModel" )
instModel_id = self.imsclient.create_instrument_model(instModel_obj)
#-------------------------------
# Create InstrumentAgent
#-------------------------------
instAgent_obj = IonObject(RT.InstrumentAgent, name='agent007', description="SBE37IMAgent", driver_uri="http://sddevrepo.oceanobservatories.org/releases/seabird_sbe37smb_ooicore-0.0.1-py2.7.egg")
instAgent_id = self.imsclient.create_instrument_agent(instAgent_obj)
self.imsclient.assign_instrument_model_to_instrument_agent(instModel_id, instAgent_id)
#-------------------------------
# Create InstrumentDevice
#-------------------------------
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)
#-------------------------------
# Create InstrumentAgentInstance to hold configuration information
#-------------------------------
port_agent_config = {
'device_addr': 'sbe37-simulator.oceanobservatories.org',
'device_port': 4001,
'process_type': PortAgentProcessType.UNIX,
'binary_path': "port_agent",
'command_port': 4002,
'data_port': 4003,
'log_level': 5,
}
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)
#-------------------------------
# Create CTD Parsed as the first data product
#-------------------------------
# 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.pubsubclient.create_stream_definition(name='SBE32_CDM', parameter_dictionary_id=pdict_id)
# 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='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)
self.damsclient.assign_data_product(input_resource_id=instDevice_id, 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)
#-------------------------------
# Create CTD Raw as the second data product
#-------------------------------
raw_stream_def_id = self.pubsubclient.create_stream_definition(name='SBE37_RAW', parameter_dictionary_id=pdict_id)
dp_obj.name = 'ctd_raw'
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)
# 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)
#-------------------------------
# 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')
ctd_L0_all_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
#-------------------------------
# L0 Conductivity - Temperature - Pressure: Output Data Products
#-------------------------------
outgoing_stream_l0_conductivity_id = self.pubsubclient.create_stream_definition(name='L0_Conductivity', parameter_dictionary_id=pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_conductivity_id, ctd_L0_all_dprocdef_id, binding='conductivity' )
outgoing_stream_l0_pressure_id = self.pubsubclient.create_stream_definition(name='L0_Pressure', parameter_dictionary_id=pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_pressure_id, ctd_L0_all_dprocdef_id, binding='pressure' )
outgoing_stream_l0_temperature_id = self.pubsubclient.create_stream_definition(name='L0_Temperature', parameter_dictionary_id=pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_temperature_id, ctd_L0_all_dprocdef_id, binding='temperature' )
self.output_products={}
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)
self.output_products['conductivity'] = ctd_l0_conductivity_output_dp_id
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)
self.output_products['pressure'] = ctd_l0_pressure_output_dp_id
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)
self.output_products['temperature'] = ctd_l0_temperature_output_dp_id
#-------------------------------
# Create listener for data process events and verify that events are received.
#-------------------------------
# todo: add this validate for Req: L4-CI-SA-RQ-367 Data processing shall notify registered data product consumers about data processing workflow life cycle events
#todo (contd) ... I believe the capability does not exist yet now. ANS And SA are not yet publishing any workflow life cycle events (Swarbhanu)
#-------------------------------
# L0 Conductivity - Temperature - Pressure: Create the data process
#-------------------------------
ctd_l0_all_data_process_id = self.dataprocessclient.create_data_process(ctd_L0_all_dprocdef_id, [ctd_parsed_data_product], self.output_products)
data_process = self.rrclient.read(ctd_l0_all_data_process_id)
process_id = data_process.process_id
self.addCleanup(self.process_dispatcher.cancel_process, process_id)
#-------------------------------
# Wait until the process launched in the create_data_process() method is actually running, before proceeding further in this test
#-------------------------------
gate = ProcessStateGate(self.process_dispatcher.read_process, process_id, ProcessStateEnum.RUNNING)
self.assertTrue(gate.await(30), "The data process (%s) did not spawn in 30 seconds" % process_id)
#-------------------------------
# Retrieve a list of all data process defintions in RR and validate that the DPD is listed
#-------------------------------
# todo: Req: L4-CI-SA-RQ-366 Data processing shall manage data topic definitions
# todo: data topics are being handled by pub sub at the level of streams
self.dataprocessclient.activate_data_process(ctd_l0_all_data_process_id)
#todo: check that activate event is received L4-CI-SA-RQ-367
#todo... (it looks like no event is being published when the data process is activated... so below, we just check for now
# todo... that the subscription is indeed activated) (Swarbhanu)
# todo: monitor process to see if it is active (sa-rq-182)
ctd_l0_all_data_process = self.rrclient.read(ctd_l0_all_data_process_id)
input_subscription_id = ctd_l0_all_data_process.input_subscription_id
subs = self.rrclient.read(input_subscription_id)
self.assertTrue(subs.activated)
# todo: This has not yet been completed by CEI, will prbly surface thru a DPMS call
self.dataprocessclient.deactivate_data_process(ctd_l0_all_data_process_id)
#-------------------------------
# Retrieve the extended resources for data process definition and for data process
#-------------------------------
extended_process_definition = self.dataprocessclient.get_data_process_definition_extension(ctd_L0_all_dprocdef_id)
self.assertEqual(1, len(extended_process_definition.data_processes))
log.debug("test_createDataProcess: extended_process_definition %s", str(extended_process_definition))
extended_process = self.dataprocessclient.get_data_process_extension(ctd_l0_all_data_process_id)
self.assertEqual(1, len(extended_process.input_data_products))
log.debug("test_createDataProcess: extended_process %s", str(extended_process))
################################ Test the removal of data processes ##################################
#-------------------------------------------------------------------
# Test the deleting of the data process
#-------------------------------------------------------------------
# Before deleting, get the input streams, output streams and the subscriptions so that they can be checked after deleting
# dp_obj_1 = self.rrclient.read(ctd_l0_all_data_process_id)
# input_subscription_id = dp_obj_1.input_subscription_id
# out_prods, _ = self.rrclient.find_objects(subject=ctd_l0_all_data_process_id, predicate=PRED.hasOutputProduct, id_only=True)
# in_prods, _ = self.rrclient.find_objects(ctd_l0_all_data_process_id, PRED.hasInputProduct, id_only=True)
# in_streams = []
# for in_prod in in_prods:
# streams, _ = self.rrclient.find_objects(in_prod, PRED.hasStream, id_only=True)
# in_streams.extend(streams)
# out_streams = []
# for out_prod in out_prods:
# streams, _ = self.rrclient.find_objects(out_prod, PRED.hasStream, id_only=True)
# out_streams.extend(streams)
# Deleting the data process
self.dataprocessclient.delete_data_process(ctd_l0_all_data_process_id)
# Check that the data process got removed. Check the lcs state. It should be retired
dp_obj = self.rrclient.read(ctd_l0_all_data_process_id)
self.assertEquals(dp_obj.lcstate, LCS.RETIRED)
# Check for process defs still attached to the data process
dpd_assn_ids = self.rrclient.find_associations(subject=ctd_l0_all_data_process_id, predicate=PRED.hasProcessDefinition, id_only=True)
self.assertEquals(len(dpd_assn_ids), 0)
# Check for output data product still attached to the data process
out_products, assocs = self.rrclient.find_objects(subject=ctd_l0_all_data_process_id, predicate=PRED.hasOutputProduct, id_only=True)
self.assertEquals(len(out_products), 0)
self.assertEquals(len(assocs), 0)
# Check for input data products still attached to the data process
inprod_associations = self.rrclient.find_associations(ctd_l0_all_data_process_id, PRED.hasInputProduct)
self.assertEquals(len(inprod_associations), 0)
# Check for input data products still attached to the data process
inprod_associations = self.rrclient.find_associations(ctd_l0_all_data_process_id, PRED.hasInputProduct)
self.assertEquals(len(inprod_associations), 0)
# Check of the data process has been deactivated
self.assertIsNone(dp_obj.input_subscription_id)
# Read the original subscription id of the data process and check that it has been deactivated
with self.assertRaises(NotFound):
self.pubsubclient.read_subscription(input_subscription_id)
#-------------------------------------------------------------------
# Delete the data process definition
#-------------------------------------------------------------------
# before deleting, get the process definition being associated to in order to be able to check later if the latter gets deleted as it should
proc_def_ids, proc_def_asocs = self.rrclient.find_objects(ctd_l0_all_data_process_id, PRED.hasProcessDefinition)
self.dataprocessclient.delete_data_process_definition(ctd_L0_all_dprocdef_id)
# check that the data process definition has been retired
dp_proc_def = self.rrclient.read(ctd_L0_all_dprocdef_id)
self.assertEquals(dp_proc_def.lcstate, LCS.RETIRED)
# Check for old associations of this data process definition
proc_defs, proc_def_asocs = self.rrclient.find_objects(ctd_L0_all_dprocdef_id, PRED.hasProcessDefinition)
self.assertEquals(len(proc_defs), 0)
# find all associations where this is the subject
_, obj_assns = self.rrclient.find_objects(subject= ctd_L0_all_dprocdef_id, id_only=True)
self.assertEquals(len(obj_assns), 0)
################################ Test the removal of data processes ##################################
# Try force delete... This should simply delete the associations and the data process object
# from the resource registry
#---------------------------------------------------------------------------------------------------------------
# Force deleting a data process
#---------------------------------------------------------------------------------------------------------------
self.dataprocessclient.force_delete_data_process(ctd_l0_all_data_process_id)
# find all associations where this is the subject
_, obj_assns = self.rrclient.find_objects(subject=ctd_l0_all_data_process_id, id_only=True)
# find all associations where this is the object
_, sbj_assns = self.rrclient.find_subjects(object=ctd_l0_all_data_process_id, id_only=True)
self.assertEquals(len(obj_assns), 0)
self.assertEquals(len(sbj_assns), 0)
with self.assertRaises(NotFound):
self.rrclient.read(ctd_l0_all_data_process_id)
#---------------------------------------------------------------------------------------------------------------
# Force deleting a data process definition
#---------------------------------------------------------------------------------------------------------------
self.dataprocessclient.force_delete_data_process_definition(ctd_L0_all_dprocdef_id)
# find all associations where this is the subject
_, obj_assns = self.rrclient.find_objects(subject=ctd_l0_all_data_process_id, id_only=True)
# find all associations where this is the object
_, sbj_assns = self.rrclient.find_subjects(object=ctd_l0_all_data_process_id, id_only=True)
self.assertEquals(len(obj_assns), 0)
self.assertEquals(len(sbj_assns), 0)
with self.assertRaises(NotFound):
self.rrclient.read(ctd_l0_all_data_process_id)
class TestExternalDatasetAgentMgmt(IonIntegrationTestCase):
# DataHandler config
DVR_CONFIG = {"dvr_mod": "ion.agents.data.handlers.base_data_handler", "dvr_cls": "DummyDataHandler"}
def setUp(self):
# Start container
self._start_container()
self.container.start_rel_from_url("res/deploy/r2deploy.yml")
log.debug("TestExternalDatasetAgentMgmt: 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.dpclient = DataProductManagementServiceClient(node=self.container.node)
self.datasetclient = DatasetManagementServiceClient(node=self.container.node)
# @unittest.skip('not yet working. fix activate_data_product_persistence()')
# @unittest.skip()
@unittest.skip("not working")
def test_activateDatasetAgent(self):
# Create ExternalDatasetModel
datsetModel_obj = IonObject(
RT.ExternalDatasetModel,
name="ExampleDatasetModel",
description="ExampleDatasetModel",
datset_type="FibSeries",
)
try:
datasetModel_id = self.damsclient.create_external_dataset_model(datsetModel_obj)
except BadRequest as ex:
self.fail("failed to create new ExternalDatasetModel: %s" % ex)
log.debug("TestExternalDatasetAgentMgmt: new ExternalDatasetModel id = %s", str(datasetModel_id))
# Create ExternalDatasetAgent
datasetAgent_obj = IonObject(
RT.ExternalDatasetAgent,
name="datasetagent007",
description="datasetagent007",
handler_module=EDA_MOD,
handler_class=EDA_CLS,
)
try:
datasetAgent_id = self.damsclient.create_external_dataset_agent(datasetAgent_obj, datasetModel_id)
except BadRequest as ex:
self.fail("failed to create new ExternalDatasetAgent: %s" % ex)
log.debug("TestExternalDatasetAgentMgmt: new ExternalDatasetAgent id = %s", str(datasetAgent_id))
# Create ExternalDataset
log.debug("TestExternalDatasetAgentMgmt: Create external dataset resource ")
extDataset_obj = IonObject(RT.ExternalDataset, name="ExtDataset", description="ExtDataset")
try:
extDataset_id = self.damsclient.create_external_dataset(extDataset_obj, datasetModel_id)
except BadRequest as ex:
self.fail("failed to create new external dataset resource: %s" % ex)
log.debug("TestExternalDatasetAgentMgmt: new ExternalDataset id = %s ", str(extDataset_id))
# register the dataset as a data producer
dproducer_id = self.damsclient.register_external_data_set(extDataset_id)
# 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="SBE37_CDM", parameter_dictionary_id=pdict_id)
log.debug("TestExternalDatasetAgentMgmt: new Stream Definition id = %s", str(ctd_stream_def_id))
log.debug("TestExternalDatasetAgentMgmt: Creating new data product with a stream definition")
dp_obj = IonObject(RT.DataProduct, name="eoi dataset data", description=" stream test")
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
)
data_product_id1 = self.dpclient.create_data_product(dp_obj, ctd_stream_def_id)
log.debug("TestExternalDatasetAgentMgmt: new dp_id = %s", str(data_product_id1))
self.damsclient.assign_data_product(input_resource_id=extDataset_id, data_product_id=data_product_id1)
# todo fix the problem here....
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("TestExternalDatasetAgentMgmt: Data product streams1 = %s", str(stream_ids))
stream_id = stream_ids[0]
# Build a taxonomy for the dataset
tx = TaxyTool()
tx.add_taxonomy_set("data", "external_data")
# Augment the DVR_CONFIG with the necessary pieces
self.DVR_CONFIG["dh_cfg"] = {
"TESTING": True,
"stream_id": stream_id, # TODO: This should probably be a 'stream_config' dict with stream_name:stream_id members
"data_producer_id": dproducer_id,
# 'external_dataset_res':extDataset_obj, # Not needed - retrieved by EDA based on resource_id
"taxonomy": tx.dump(), # TODO: Currently does not support sets
"max_records": 4,
}
# Create agent config.
self._stream_config = {}
agent_config = {
"driver_config": self.DVR_CONFIG,
"stream_config": self._stream_config,
"agent": {"resource_id": EDA_RESOURCE_ID},
"test_mode": True,
}
extDatasetAgentInstance_obj = IonObject(
RT.ExternalDatasetAgentInstance,
name="DatasetAgentInstance",
description="DatasetAgentInstance",
dataset_driver_config=self.DVR_CONFIG,
dataset_agent_config=agent_config,
)
extDatasetAgentInstance_id = self.damsclient.create_external_dataset_agent_instance(
external_dataset_agent_instance=extDatasetAgentInstance_obj,
external_dataset_agent_id=datasetAgent_id,
external_dataset_id=extDataset_id,
)
log.debug("TestExternalDatasetAgentMgmt: Dataset agent instance obj: = %s", str(extDatasetAgentInstance_obj))
log.debug("TestExternalDatasetAgentMgmt: Dataset agent instance id: = %s", str(extDatasetAgentInstance_id))
# Check that the instance is currently not active
id, active = self.damsclient.retrieve_external_dataset_agent_instance(extDataset_id)
log.debug(
"TestExternalDatasetAgentMgmt: Dataset agent instance id: = %s active 1 = %s ", str(id), str(active)
)
self.damsclient.start_external_dataset_agent_instance(extDatasetAgentInstance_id)
dataset_agent_instance_obj = self.damsclient.read_external_dataset_agent_instance(extDatasetAgentInstance_id)
log.debug("TestExternalDatasetAgentMgmt: Dataset agent instance obj: = %s", str(dataset_agent_instance_obj))
# now the instance process should be active
id, active = self.damsclient.retrieve_external_dataset_agent_instance(extDataset_id)
log.debug(
"TestExternalDatasetAgentMgmt: Dataset agent instance id: = %s active 2 = %s ", str(id), str(active)
)
# Start a resource agent client to talk with the instrument agent.
self._dsa_client = ResourceAgentClient(extDataset_id, process=FakeProcess())
print "TestExternalDatasetAgentMgmt: got ia client %s", self._dsa_client
log.debug("TestExternalDatasetAgentMgmt: got dataset client %s", str(self._dsa_client))
# cmd=AgentCommand(command='initialize')
# _ = self._dsa_client.execute_agent(cmd)
#
# cmd = AgentCommand(command='go_active')
# _ = self._dsa_client.execute_agent(cmd)
#
# cmd = AgentCommand(command='run')
# _ = self._dsa_client.execute_agent(cmd)
#
# log.info('Send an unconstrained request for data (\'new data\')')
# cmd = AgentCommand(command='acquire_data')
# self._dsa_client.execute(cmd)
#
# log.info('Send a second unconstrained request for data (\'new data\'), should be rejected')
# cmd = AgentCommand(command='acquire_data')
# self._dsa_client.execute(cmd)
#
# cmd = AgentCommand(command='reset')
# _ = self._dsa_client.execute_agent(cmd)
# cmd = AgentCommand(command='get_current_state')
# retval = self._dsa_client.execute_agent(cmd)
# state = retval.result
# TODO: Think about what we really should be testing at this point
# The following is taken from ion.agents.data.test.test_external_dataset_agent.ExternalDatasetAgentTestBase.test_states()
# TODO: Do we also need to show data retrieval?
cmd = AgentCommand(command="get_current_state")
retval = self._dsa_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.UNINITIALIZED)
cmd = AgentCommand(command="initialize")
retval = self._dsa_client.execute_agent(cmd)
cmd = AgentCommand(command="get_current_state")
retval = self._dsa_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.INACTIVE)
cmd = AgentCommand(command="go_active")
retval = self._dsa_client.execute_agent(cmd)
cmd = AgentCommand(command="get_current_state")
retval = self._dsa_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.IDLE)
cmd = AgentCommand(command="run")
retval = self._dsa_client.execute_agent(cmd)
cmd = AgentCommand(command="get_current_state")
retval = self._dsa_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.OBSERVATORY)
cmd = AgentCommand(command="pause")
retval = self._dsa_client.execute_agent(cmd)
cmd = AgentCommand(command="get_current_state")
retval = self._dsa_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.STOPPED)
cmd = AgentCommand(command="resume")
retval = self._dsa_client.execute_agent(cmd)
cmd = AgentCommand(command="get_current_state")
retval = self._dsa_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.OBSERVATORY)
cmd = AgentCommand(command="clear")
retval = self._dsa_client.execute_agent(cmd)
cmd = AgentCommand(command="get_current_state")
retval = self._dsa_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.IDLE)
cmd = AgentCommand(command="run")
retval = self._dsa_client.execute_agent(cmd)
cmd = AgentCommand(command="get_current_state")
retval = self._dsa_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.OBSERVATORY)
cmd = AgentCommand(command="pause")
retval = self._dsa_client.execute_agent(cmd)
cmd = AgentCommand(command="get_current_state")
retval = self._dsa_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.STOPPED)
cmd = AgentCommand(command="clear")
retval = self._dsa_client.execute_agent(cmd)
cmd = AgentCommand(command="get_current_state")
retval = self._dsa_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.IDLE)
cmd = AgentCommand(command="run")
retval = self._dsa_client.execute_agent(cmd)
cmd = AgentCommand(command="get_current_state")
retval = self._dsa_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.OBSERVATORY)
cmd = AgentCommand(command="reset")
retval = self._dsa_client.execute_agent(cmd)
cmd = AgentCommand(command="get_current_state")
retval = self._dsa_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.UNINITIALIZED)
# -------------------------------
# Deactivate InstrumentAgentInstance
# -------------------------------
self.damsclient.stop_external_dataset_agent_instance(extDatasetAgentInstance_id)
def test_dataset_agent_prepare_support(self):
eda_sup = self.damsclient.prepare_external_dataset_agent_support()
eda_obj = IonObject(RT.ExternalDatasetAgent, name="ExternalDatasetAgent")
eda_id = self.damsclient.create_external_dataset_agent(eda_obj)
eda_sup = self.damsclient.prepare_external_dataset_agent_support(external_dataset_agent_id=eda_id)
edai_sup = self.damsclient.prepare_external_dataset_agent_instance_support()
edai_obj = IonObject(RT.ExternalDatasetAgentInstance, name="ExternalDatasetAgentInstance")
edai_id = self.damsclient.create_external_dataset_agent_instance(edai_obj)
edai_sup = self.damsclient.prepare_external_dataset_agent_instance_support(
external_dataset_agent_instance_id=edai_id
)
class TestObservatoryManagementServiceIntegration(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')
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()
# @unittest.skip('this exists only for debugging the launch process')
# def test_just_the_setup(self):
# return
def destroy(self, resource_ids):
self.OMS.force_delete_observatory(resource_ids.observatory_id)
self.OMS.force_delete_subsite(resource_ids.subsite_id)
self.OMS.force_delete_subsite(resource_ids.subsite2_id)
self.OMS.force_delete_subsite(resource_ids.subsiteb_id)
self.OMS.force_delete_subsite(resource_ids.subsitez_id)
self.OMS.force_delete_platform_site(resource_ids.platform_site_id)
self.OMS.force_delete_platform_site(resource_ids.platform_siteb_id)
self.OMS.force_delete_platform_site(resource_ids.platform_siteb2_id)
self.OMS.force_delete_platform_site(resource_ids.platform_site3_id)
self.OMS.force_delete_instrument_site(resource_ids.instrument_site_id)
self.OMS.force_delete_instrument_site(resource_ids.instrument_site2_id)
self.OMS.force_delete_instrument_site(resource_ids.instrument_siteb3_id)
self.OMS.force_delete_instrument_site(resource_ids.instrument_site4_id)
#@unittest.skip('targeting')
def test_observatory_management(self):
resources = self._make_associations()
self._do_test_find_related_sites(resources)
self._do_test_get_sites_devices_status(resources)
self._do_test_find_site_data_products(resources)
self._do_test_find_related_frames_of_reference(resources)
self._do_test_create_geospatial_point_center(resources)
self._do_test_find_observatory_org(resources)
self.destroy(resources)
def _do_test_find_related_sites(self, resources):
site_resources, site_children = self.OMS.find_related_sites(resources.org_id)
#import sys, pprint
#print >> sys.stderr, pprint.pformat(site_resources)
#print >> sys.stderr, pprint.pformat(site_children)
#self.assertIn(resources.org_id, site_resources)
self.assertIn(resources.observatory_id, site_resources)
self.assertIn(resources.subsite_id, site_resources)
self.assertIn(resources.subsite_id, site_resources)
self.assertIn(resources.subsite2_id, site_resources)
self.assertIn(resources.platform_site_id, site_resources)
self.assertIn(resources.instrument_site_id, site_resources)
self.assertEquals(len(site_resources), 13)
self.assertEquals(site_resources[resources.observatory_id].type_, RT.Observatory)
self.assertIn(resources.org_id, site_children)
self.assertIn(resources.observatory_id, site_children)
self.assertIn(resources.subsite_id, site_children)
self.assertIn(resources.subsite_id, site_children)
self.assertIn(resources.subsite2_id, site_children)
self.assertIn(resources.platform_site_id, site_children)
self.assertNotIn(resources.instrument_site_id, site_children)
self.assertEquals(len(site_children), 9)
self.assertIsInstance(site_children[resources.subsite_id], list)
self.assertEquals(len(site_children[resources.subsite_id]), 2)
def _do_test_get_sites_devices_status(self, resources):
result_dict = self.OMS.get_sites_devices_status(resources.org_id)
site_resources = result_dict.get("site_resources", None)
site_children = result_dict.get("site_children", None)
self.assertEquals(len(site_resources), 14)
self.assertEquals(len(site_children), 9)
result_dict = self.OMS.get_sites_devices_status(resources.org_id, include_devices=True, include_status=True)
log.debug("RESULT DICT: %s", result_dict.keys())
site_resources = result_dict.get("site_resources", None)
site_children = result_dict.get("site_children", None)
site_status = result_dict.get("site_status", None)
self.assertEquals(len(site_resources), 14)
self.assertEquals(len(site_children), 9)
result_dict = self.OMS.get_sites_devices_status(resources.observatory_id, include_devices=True, include_status=True)
site_resources = result_dict.get("site_resources")
site_children = result_dict.get("site_children")
site_status = result_dict.get("site_status")
self.assertEquals(len(site_resources), 13)
self.assertEquals(len(site_children), 8)
def _do_test_find_site_data_products(self, resources):
res_dict = self.OMS.find_site_data_products(resources.org_id)
#import sys, pprint
#print >> sys.stderr, pprint.pformat(res_dict)
self.assertIsNone(res_dict['data_product_resources'])
self.assertIn(resources.platform_device_id, res_dict['device_data_products'])
self.assertIn(resources.instrument_device_id, res_dict['device_data_products'])
#@unittest.skip('targeting')
def _do_test_find_related_frames_of_reference(self, stuff):
# finding subordinates gives a dict of obj lists, convert objs to ids
def idify(adict):
ids = {}
for k, v in adict.iteritems():
ids[k] = []
for obj in v:
ids[k].append(obj._id)
return ids
# a short version of the function we're testing, with id-ify
def short(resource_id, output_types):
ret = self.OMS.find_related_frames_of_reference(resource_id,
output_types)
return idify(ret)
#set up associations first
stuff = self._make_associations()
#basic traversal of tree from instrument to platform
ids = short(stuff.instrument_site_id, [RT.PlatformSite])
self.assertIn(RT.PlatformSite, ids)
self.assertIn(stuff.platform_site_id, ids[RT.PlatformSite])
self.assertIn(stuff.platform_siteb_id, ids[RT.PlatformSite])
self.assertNotIn(stuff.platform_siteb2_id, ids[RT.PlatformSite])
#since this is the first search, just make sure the input inst_id got stripped
if RT.InstrumentSite in ids:
self.assertNotIn(stuff.instrument_site_id, ids[RT.InstrumentSite])
#basic traversal of tree from platform to instrument
ids = short(stuff.platform_siteb_id, [RT.InstrumentSite])
self.assertIn(RT.InstrumentSite, ids)
self.assertIn(stuff.instrument_site_id, ids[RT.InstrumentSite])
self.assertNotIn(stuff.instrument_site2_id, ids[RT.InstrumentSite])
#full traversal of tree from observatory down to instrument
ids = short(stuff.observatory_id, [RT.InstrumentSite])
self.assertIn(RT.InstrumentSite, ids)
self.assertIn(stuff.instrument_site_id, ids[RT.InstrumentSite])
#full traversal of tree from instrument to observatory
ids = short(stuff.instrument_site_id, [RT.Observatory])
self.assertIn(RT.Observatory, ids)
self.assertIn(stuff.observatory_id, ids[RT.Observatory])
#partial traversal, only down to platform
ids = short(stuff.observatory_id, [RT.Subsite, RT.PlatformSite])
self.assertIn(RT.PlatformSite, ids)
self.assertIn(RT.Subsite, ids)
self.assertIn(stuff.platform_site_id, ids[RT.PlatformSite])
self.assertIn(stuff.platform_siteb_id, ids[RT.PlatformSite])
self.assertIn(stuff.platform_siteb2_id, ids[RT.PlatformSite])
self.assertIn(stuff.platform_site3_id, ids[RT.PlatformSite])
self.assertIn(stuff.subsite_id, ids[RT.Subsite])
self.assertIn(stuff.subsite2_id, ids[RT.Subsite])
self.assertIn(stuff.subsitez_id, ids[RT.Subsite])
self.assertIn(stuff.subsiteb_id, ids[RT.Subsite])
self.assertNotIn(RT.InstrumentSite, ids)
#partial traversal, only down to platform
ids = short(stuff.instrument_site_id, [RT.Subsite, RT.PlatformSite])
self.assertIn(RT.PlatformSite, ids)
self.assertIn(RT.Subsite, ids)
self.assertIn(stuff.platform_siteb_id, ids[RT.PlatformSite])
self.assertIn(stuff.platform_site_id, ids[RT.PlatformSite])
self.assertIn(stuff.subsite_id, ids[RT.Subsite])
self.assertIn(stuff.subsiteb_id, ids[RT.Subsite])
self.assertNotIn(stuff.subsite2_id, ids[RT.Subsite])
self.assertNotIn(stuff.subsitez_id, ids[RT.Subsite])
self.assertNotIn(stuff.platform_siteb2_id, ids[RT.PlatformSite])
self.assertNotIn(RT.Observatory, ids)
self.destroy(stuff)
def _make_associations(self):
"""
create one of each resource and association used by OMS
to guard against problems in ion-definitions
"""
#raise unittest.SkipTest("https://jira.oceanobservatories.org/tasks/browse/CISWCORE-41")
"""
the tree we're creating (observatory, sites, platforms, instruments)
rows are lettered, colums numbered.
- first row is implied a
- first column is implied 1
- site Z, just because
O--Sz
|
S--S2--P3--I4
|
Sb-Pb2-Ib3
|
P--I2 <- PlatformDevice, InstrumentDevice2
|
Pb <- PlatformDevice b
|
I <- InstrumentDevice
"""
org_id = self.OMS.create_marine_facility(any_old(RT.Org))
def create_under_org(resource_type, extra_fields=None):
obj = any_old(resource_type, extra_fields)
if RT.InstrumentDevice == resource_type:
resource_id = self.IMS.create_instrument_device(obj)
else:
resource_id, _ = self.RR.create(obj)
self.OMS.assign_resource_to_observatory_org(resource_id=resource_id, org_id=org_id)
return resource_id
#stuff we control
observatory_id = create_under_org(RT.Observatory)
subsite_id = create_under_org(RT.Subsite)
subsite2_id = create_under_org(RT.Subsite)
subsiteb_id = create_under_org(RT.Subsite)
subsitez_id = create_under_org(RT.Subsite)
platform_site_id = create_under_org(RT.PlatformSite)
platform_siteb_id = create_under_org(RT.PlatformSite)
platform_siteb2_id = create_under_org(RT.PlatformSite)
platform_site3_id = create_under_org(RT.PlatformSite)
instrument_site_id = create_under_org(RT.InstrumentSite)
instrument_site2_id = create_under_org(RT.InstrumentSite)
instrument_siteb3_id = create_under_org(RT.InstrumentSite)
instrument_site4_id = create_under_org(RT.InstrumentSite)
#stuff we associate to
instrument_device_id = create_under_org(RT.InstrumentDevice)
instrument_device2_id = create_under_org(RT.InstrumentDevice)
platform_device_id = create_under_org(RT.PlatformDevice)
platform_deviceb_id = create_under_org(RT.PlatformDevice)
instrument_model_id, _ = self.RR.create(any_old(RT.InstrumentModel))
platform_model_id, _ = self.RR.create(any_old(RT.PlatformModel))
deployment_id, _ = self.RR.create(any_old(RT.Deployment))
#observatory
self.RR.create_association(observatory_id, PRED.hasSite, subsite_id)
self.RR.create_association(observatory_id, PRED.hasSite, subsitez_id)
#site
self.RR.create_association(subsite_id, PRED.hasSite, subsite2_id)
self.RR.create_association(subsite_id, PRED.hasSite, subsiteb_id)
self.RR.create_association(subsite2_id, PRED.hasSite, platform_site3_id)
self.RR.create_association(subsiteb_id, PRED.hasSite, platform_siteb2_id)
self.RR.create_association(subsiteb_id, PRED.hasSite, platform_site_id)
#platform_site(s)
self.RR.create_association(platform_site3_id, PRED.hasSite, instrument_site4_id)
self.RR.create_association(platform_siteb2_id, PRED.hasSite, instrument_siteb3_id)
self.RR.create_association(platform_site_id, PRED.hasSite, instrument_site2_id)
self.RR.create_association(platform_site_id, PRED.hasSite, platform_siteb_id)
self.RR.create_association(platform_siteb_id, PRED.hasSite, instrument_site_id)
self.RR.create_association(platform_siteb_id, PRED.hasDevice, platform_deviceb_id)
#test network parent link
self.OMS.assign_device_to_network_parent(platform_device_id, platform_deviceb_id)
self.RR.create_association(platform_site_id, PRED.hasModel, platform_model_id)
self.RR.create_association(platform_site_id, PRED.hasDevice, platform_device_id)
self.RR.create_association(platform_site_id, PRED.hasDeployment, deployment_id)
#instrument_site(s)
self.RR.create_association(instrument_site_id, PRED.hasModel, instrument_model_id)
self.RR.create_association(instrument_site_id, PRED.hasDevice, instrument_device_id)
self.RR.create_association(instrument_site_id, PRED.hasDeployment, deployment_id)
self.RR.create_association(instrument_site2_id, PRED.hasDevice, instrument_device2_id)
#platform_device
self.RR.create_association(platform_device_id, PRED.hasModel, platform_model_id)
#instrument_device
self.RR.create_association(instrument_device_id, PRED.hasModel, instrument_model_id)
self.RR.create_association(instrument_device2_id, PRED.hasModel, instrument_model_id)
ret = DotDict()
ret.org_id = org_id
ret.observatory_id = observatory_id
ret.subsite_id = subsite_id
ret.subsite2_id = subsite2_id
ret.subsiteb_id = subsiteb_id
ret.subsitez_id = subsitez_id
ret.platform_site_id = platform_site_id
ret.platform_siteb_id = platform_siteb_id
ret.platform_siteb2_id = platform_siteb2_id
ret.platform_site3_id = platform_site3_id
ret.instrument_site_id = instrument_site_id
ret.instrument_site2_id = instrument_site2_id
ret.instrument_siteb3_id = instrument_siteb3_id
ret.instrument_site4_id = instrument_site4_id
ret.instrument_device_id = instrument_device_id
ret.instrument_device2_id = instrument_device2_id
ret.platform_device_id = platform_device_id
ret.platform_deviceb_id = platform_deviceb_id
ret.instrument_model_id = instrument_model_id
ret.platform_model_id = platform_model_id
ret.deployment_id = deployment_id
return ret
#@unittest.skip("targeting")
def test_create_observatory(self):
observatory_obj = IonObject(RT.Observatory,
name='TestFacility',
description='some new mf')
observatory_id = self.OMS.create_observatory(observatory_obj)
self.OMS.force_delete_observatory(observatory_id)
#@unittest.skip("targeting")
def _do_test_create_geospatial_point_center(self, resources):
platformsite_obj = IonObject(RT.PlatformSite,
name='TestPlatformSite',
description='some new TestPlatformSite')
geo_index_obj = IonObject(OT.GeospatialBounds)
geo_index_obj.geospatial_latitude_limit_north = 20.0
geo_index_obj.geospatial_latitude_limit_south = 10.0
geo_index_obj.geospatial_longitude_limit_east = 15.0
geo_index_obj.geospatial_longitude_limit_west = 20.0
platformsite_obj.constraint_list = [geo_index_obj]
platformsite_id = self.OMS.create_platform_site(platformsite_obj)
# now get the dp back to see if it was updated
platformsite_obj = self.OMS.read_platform_site(platformsite_id)
self.assertEquals('some new TestPlatformSite', platformsite_obj.description)
self.assertAlmostEqual(15.0, platformsite_obj.geospatial_point_center.lat, places=1)
#now adjust a few params
platformsite_obj.description = 'some old TestPlatformSite'
geo_index_obj = IonObject(OT.GeospatialBounds)
geo_index_obj.geospatial_latitude_limit_north = 30.0
geo_index_obj.geospatial_latitude_limit_south = 20.0
platformsite_obj.constraint_list = [geo_index_obj]
update_result = self.OMS.update_platform_site(platformsite_obj)
# now get the dp back to see if it was updated
platformsite_obj = self.OMS.read_platform_site(platformsite_id)
self.assertEquals('some old TestPlatformSite', platformsite_obj.description)
self.assertAlmostEqual(25.0, platformsite_obj.geospatial_point_center.lat, places=1)
self.OMS.force_delete_platform_site(platformsite_id)
#@unittest.skip("targeting")
def _do_test_find_observatory_org(self, resources):
log.debug("Make TestOrg")
org_obj = IonObject(RT.Org,
name='TestOrg',
description='some new mf org')
org_id = self.OMS.create_marine_facility(org_obj)
log.debug("Make Observatory")
observatory_obj = IonObject(RT.Observatory,
name='TestObservatory',
description='some new obs')
observatory_id = self.OMS.create_observatory(observatory_obj)
log.debug("assign observatory to org")
self.OMS.assign_resource_to_observatory_org(observatory_id, org_id)
log.debug("verify assigment")
org_objs = self.OMS.find_org_by_observatory(observatory_id)
self.assertEqual(1, len(org_objs))
self.assertEqual(org_id, org_objs[0]._id)
log.debug("org_id=<" + org_id + ">")
log.debug("create a subsite with parent Observatory")
subsite_obj = IonObject(RT.Subsite,
name= 'TestSubsite',
description = 'sample subsite')
subsite_id = self.OMS.create_subsite(subsite_obj, observatory_id)
self.assertIsNotNone(subsite_id, "Subsite not created.")
log.debug("verify that Subsite is linked to Observatory")
mf_subsite_assoc = self.RR.get_association(observatory_id, PRED.hasSite, subsite_id)
self.assertIsNotNone(mf_subsite_assoc, "Subsite not connected to Observatory.")
log.debug("add the Subsite as a resource of this Observatory")
self.OMS.assign_resource_to_observatory_org(resource_id=subsite_id, org_id=org_id)
log.debug("verify that Subsite is linked to Org")
org_subsite_assoc = self.RR.get_association(org_id, PRED.hasResource, subsite_id)
self.assertIsNotNone(org_subsite_assoc, "Subsite not connected as resource to Org.")
log.debug("create a logical platform with parent Subsite")
platform_site_obj = IonObject(RT.PlatformSite,
name= 'TestPlatformSite',
description = 'sample logical platform')
platform_site_id = self.OMS.create_platform_site(platform_site_obj, subsite_id)
self.assertIsNotNone(platform_site_id, "PlatformSite not created.")
log.debug("verify that PlatformSite is linked to Site")
site_lp_assoc = self.RR.get_association(subsite_id, PRED.hasSite, platform_site_id)
self.assertIsNotNone(site_lp_assoc, "PlatformSite not connected to Site.")
log.debug("add the PlatformSite as a resource of this Observatory")
self.OMS.assign_resource_to_observatory_org(resource_id=platform_site_id, org_id=org_id)
log.debug("verify that PlatformSite is linked to Org")
org_lp_assoc = self.RR.get_association(org_id, PRED.hasResource, platform_site_id)
self.assertIsNotNone(org_lp_assoc, "PlatformSite not connected as resource to Org.")
log.debug("create a logical instrument with parent logical platform")
instrument_site_obj = IonObject(RT.InstrumentSite,
name= 'TestInstrumentSite',
description = 'sample logical instrument')
instrument_site_id = self.OMS.create_instrument_site(instrument_site_obj, platform_site_id)
self.assertIsNotNone(instrument_site_id, "InstrumentSite not created.")
log.debug("verify that InstrumentSite is linked to PlatformSite")
li_lp_assoc = self.RR.get_association(platform_site_id, PRED.hasSite, instrument_site_id)
self.assertIsNotNone(li_lp_assoc, "InstrumentSite not connected to PlatformSite.")
log.debug("add the InstrumentSite as a resource of this Observatory")
self.OMS.assign_resource_to_observatory_org(resource_id=instrument_site_id, org_id=org_id)
log.debug("verify that InstrumentSite is linked to Org")
org_li_assoc = self.RR.get_association(org_id, PRED.hasResource, instrument_site_id)
self.assertIsNotNone(org_li_assoc, "InstrumentSite not connected as resource to Org.")
log.debug("remove the InstrumentSite as a resource of this Observatory")
self.OMS.unassign_resource_from_observatory_org(instrument_site_id, org_id)
log.debug("verify that InstrumentSite is linked to Org")
assocs,_ = self.RR.find_objects(org_id, PRED.hasResource, RT.InstrumentSite, id_only=True )
self.assertEqual(0, len(assocs))
log.debug("remove the InstrumentSite, association should drop automatically")
self.OMS.delete_instrument_site(instrument_site_id)
assocs, _ = self.RR.find_objects(platform_site_id, PRED.hasSite, RT.InstrumentSite, id_only=True )
self.assertEqual(0, len(assocs))
log.debug("remove the PlatformSite as a resource of this Observatory")
self.OMS.unassign_resource_from_observatory_org(platform_site_id, org_id)
log.debug("verify that PlatformSite is linked to Org")
assocs,_ = self.RR.find_objects(org_id, PRED.hasResource, RT.PlatformSite, id_only=True )
self.assertEqual(0, len(assocs))
log.debug("remove the Site as a resource of this Observatory")
self.OMS.unassign_resource_from_observatory_org(subsite_id, org_id)
log.debug("verify that Site is linked to Org")
assocs,_ = self.RR.find_objects(org_id, PRED.hasResource, RT.Subsite, id_only=True )
self.assertEqual(0, len(assocs))
self.RR.delete(org_id)
self.OMS.force_delete_observatory(observatory_id)
self.OMS.force_delete_subsite(subsite_id)
self.OMS.force_delete_platform_site(platform_site_id)
self.OMS.force_delete_instrument_site(instrument_site_id)
@attr('EXT')
def test_observatory_extensions(self):
obs_id = self.RR2.create(any_old(RT.Observatory))
pss_id = self.RR2.create(any_old(RT.PlatformSite, dict(alt_resource_type="StationSite")))
pas_id = self.RR2.create(any_old(RT.PlatformSite, dict(alt_resource_type="PlatformAssemblySite")))
pcs_id = self.RR2.create(any_old(RT.PlatformSite, dict(alt_resource_type="PlatformComponentSite")))
ins_id = self.RR2.create(any_old(RT.InstrumentSite))
obs_obj = self.RR2.read(obs_id)
pss_obj = self.RR2.read(pss_id)
pas_obj = self.RR2.read(pas_id)
pcs_obj = self.RR2.read(pcs_id)
ins_obj = self.RR2.read(ins_id)
self.RR2.create_association(obs_id, PRED.hasSite, pss_id)
self.RR2.create_association(pss_id, PRED.hasSite, pas_id)
self.RR2.create_association(pas_id, PRED.hasSite, pcs_id)
self.RR2.create_association(pcs_id, PRED.hasSite, ins_id)
extended_obs = self.OMS.get_observatory_site_extension(obs_id, user_id=12345)
self.assertEqual([pss_obj], extended_obs.computed.platform_station_sites.value)
self.assertEqual(ComputedValueAvailability.PROVIDED, extended_obs.computed.platform_station_sites.status)
self.assertEqual([pas_obj], extended_obs.computed.platform_assembly_sites.value)
self.assertEqual(ComputedValueAvailability.PROVIDED, extended_obs.computed.platform_assembly_sites.status)
self.assertEqual([pcs_obj], extended_obs.computed.platform_component_sites.value)
self.assertEqual(ComputedValueAvailability.PROVIDED, extended_obs.computed.platform_component_sites.status)
self.assertEqual([ins_obj], extended_obs.computed.instrument_sites.value)
extended_pss = self.OMS.get_observatory_site_extension(obs_id, user_id=12345)
self.assertEqual([pas_obj], extended_pss.computed.platform_assembly_sites.value)
self.assertEqual([pcs_obj], extended_pss.computed.platform_component_sites.value)
self.assertEqual([ins_obj], extended_pss.computed.instrument_sites.value)
extended_pas = self.OMS.get_observatory_site_extension(pas_id, user_id=12345)
self.assertEqual([pcs_obj], extended_pas.computed.platform_component_sites.value)
self.assertEqual([ins_obj], extended_pas.computed.instrument_sites.value)
extended_pcs = self.OMS.get_platform_component_site_extension(pcs_id, user_id=12345)
self.assertEqual([ins_obj], extended_pcs.computed.instrument_sites.value)
#@unittest.skip("in development...")
@attr('EXT')
@attr('EXT1')
def test_observatory_org_extended(self):
stuff = self._make_associations()
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)
tdom, sdom = time_series_domain()
sdom = sdom.dump()
tdom = tdom.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(data_product=dp_obj,
stream_definition_id=parsed_stream_def_id)
self.damsclient.assign_data_product(input_resource_id=stuff.instrument_device_id,
data_product_id=data_product_id1)
#Create a user to be used as regular member
member_actor_obj = IonObject(RT.ActorIdentity, name='org member actor')
member_actor_id,_ = self.RR.create(member_actor_obj)
assert(member_actor_id)
member_actor_header = get_actor_header(member_actor_id)
member_user_obj = IonObject(RT.UserInfo, name='org member user')
member_user_id,_ = self.RR.create(member_user_obj)
assert(member_user_id)
self.RR.create_association(subject=member_actor_id, predicate=PRED.hasInfo, object=member_user_id)
#Build the Service Agreement Proposal to enroll a user actor
sap = IonObject(OT.EnrollmentProposal,consumer=member_actor_id, provider=stuff.org_id )
sap_response = self.org_management_service.negotiate(sap, headers=member_actor_header )
#enroll the member without using negotiation
self.org_management_service.enroll_member(org_id=stuff.org_id, actor_id=member_actor_id)
#--------------------------------------------------------------------------------
# Get the extended Site (platformSite)
#--------------------------------------------------------------------------------
try:
extended_site = self.OMS.get_site_extension(stuff.platform_site_id)
except:
log.error('failed to get extended site', exc_info=True)
raise
log.debug("extended_site: %r ", extended_site)
self.assertEqual(1, len(extended_site.platform_devices))
self.assertEqual(1, len(extended_site.platform_models))
self.assertEqual(stuff.platform_device_id, extended_site.platform_devices[0]._id)
self.assertEqual(stuff.platform_model_id, extended_site.platform_models[0]._id)
log.debug("verify that PlatformDeviceb is linked to PlatformDevice with hasNetworkParent link")
associations = self.RR.find_associations(subject=stuff.platform_deviceb_id, predicate=PRED.hasNetworkParent, object=stuff.platform_device_id, id_only=True)
self.assertIsNotNone(associations, "PlatformDevice child not connected to PlatformDevice parent.")
#--------------------------------------------------------------------------------
# Get the extended Org
#--------------------------------------------------------------------------------
#test the extended resource
extended_org = self.OMS.get_marine_facility_extension(stuff.org_id)
log.debug("test_observatory_org_extended: extended_org: %s ", str(extended_org))
#self.assertEqual(2, len(extended_org.instruments_deployed) )
#self.assertEqual(1, len(extended_org.platforms_not_deployed) )
self.assertEqual(2, extended_org.number_of_platforms)
self.assertEqual(2, len(extended_org.platform_models) )
self.assertEqual(2, extended_org.number_of_instruments)
self.assertEqual(2, len(extended_org.instrument_models) )
self.assertEqual(1, len(extended_org.members))
self.assertNotEqual(extended_org.members[0]._id, member_actor_id)
self.assertEqual(extended_org.members[0]._id, member_user_id)
self.assertEqual(1, len(extended_org.open_requests))
self.assertTrue(len(extended_site.deployments)>0)
self.assertEqual(len(extended_site.deployments), len(extended_site.deployment_info))
#test the extended resource of the ION org
ion_org_id = self.org_management_service.find_org()
extended_org = self.OMS.get_marine_facility_extension(ion_org_id._id, user_id=12345)
log.debug("test_observatory_org_extended: extended_ION_org: %s ", str(extended_org))
self.assertEqual(1, len(extended_org.members))
self.assertEqual(0, extended_org.number_of_platforms)
#self.assertEqual(1, len(extended_org.sites))
#--------------------------------------------------------------------------------
# Get the extended Site
#--------------------------------------------------------------------------------
#create device state events to use for op /non-op filtering in extended
t = get_ion_ts()
self.event_publisher.publish_event( ts_created= t, event_type = 'ResourceAgentStateEvent',
origin = stuff.instrument_device_id, state=ResourceAgentState.STREAMING )
self.event_publisher.publish_event( ts_created= t, event_type = 'ResourceAgentStateEvent',
origin = stuff.instrument_device2_id, state=ResourceAgentState.INACTIVE )
extended_site = self.OMS.get_site_extension(stuff.instrument_site2_id)
log.debug("test_observatory_org_extended: extended_site: %s ", str(extended_site))
self.dpclient.delete_data_product(data_product_id1)
def _setup_resources(self):
# TODO: some or all of this (or some variation) should move to DAMS'
# Build the test resources for the dataset
dms_cli = DatasetManagementServiceClient()
dams_cli = DataAcquisitionManagementServiceClient()
dpms_cli = DataProductManagementServiceClient()
rr_cli = ResourceRegistryServiceClient()
pubsub_cli = PubsubManagementServiceClient()
eda = ExternalDatasetAgent(handler_module=self.DVR_CONFIG['dvr_mod'],
handler_class=self.DVR_CONFIG['dvr_cls'])
eda_id = dams_cli.create_external_dataset_agent(eda)
eda_inst = ExternalDatasetAgentInstance()
eda_inst_id = dams_cli.create_external_dataset_agent_instance(eda_inst, external_dataset_agent_id=eda_id)
# Create and register the necessary resources/objects
# Create DataProvider
dprov = ExternalDataProvider(institution=Institution(), contact=ContactInformation())
dprov.contact.individual_names_given = 'Christopher Mueller'
dprov.contact.email = '*****@*****.**'
# Create DataSource
dsrc = DataSource(protocol_type='FILE', institution=Institution(), contact=ContactInformation())
dsrc.connection_params['base_data_url'] = ''
dsrc.contact.individual_names_given = 'Tim Giguere'
dsrc.contact.email = '*****@*****.**'
# 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 DataSourceModel
dsrc_model = DataSourceModel(name='slocum_model')
# dsrc_model.model = 'SLOCUM'
dsrc_model.data_handler_module = 'N/A'
dsrc_model.data_handler_class = 'N/A'
## Run everything through DAMS
ds_id = dams_cli.create_external_dataset(external_dataset=dset)
ext_dprov_id = dams_cli.create_external_data_provider(external_data_provider=dprov)
ext_dsrc_id = dams_cli.create_data_source(data_source=dsrc)
ext_dsrc_model_id = dams_cli.create_data_source_model(dsrc_model)
# Register the ExternalDataset
dproducer_id = dams_cli.register_external_data_set(external_dataset_id=ds_id)
# Or using each method
dams_cli.assign_data_source_to_external_data_provider(data_source_id=ext_dsrc_id, external_data_provider_id=ext_dprov_id)
dams_cli.assign_data_source_to_data_model(data_source_id=ext_dsrc_id, data_source_model_id=ext_dsrc_model_id)
dams_cli.assign_external_dataset_to_data_source(external_dataset_id=ds_id, data_source_id=ext_dsrc_id)
dams_cli.assign_external_dataset_to_agent_instance(external_dataset_id=ds_id, agent_instance_id=eda_inst_id)
# dams_cli.assign_external_data_agent_to_agent_instance(external_data_agent_id=self.eda_id, agent_instance_id=self.eda_inst_id)
#create temp streamdef so the data product can create the stream
pc_list = []
for pc_k, pc in self._create_parameter_dictionary().iteritems():
pc_list.append(dms_cli.create_parameter_context(pc_k, pc[1].dump()))
pdict_id = dms_cli.create_parameter_dictionary('slocum_param_dict', pc_list)
streamdef_id = pubsub_cli.create_stream_definition(name="slocum_stream_def", description="stream def for slocum testing", parameter_dictionary_id=pdict_id)
# dpms_cli.create_data_product()
# Generate the data product and associate it to the ExternalDataset
tdom, sdom = time_series_domain()
tdom, sdom = tdom.dump(), sdom.dump()
dprod = IonObject(RT.DataProduct,
name='slocum_parsed_product',
description='parsed slocum product',
temporal_domain=tdom,
spatial_domain=sdom)
dproduct_id = dpms_cli.create_data_product(data_product=dprod,
stream_definition_id=streamdef_id)
dams_cli.assign_data_product(input_resource_id=ds_id, data_product_id=dproduct_id)
stream_id, assn = rr_cli.find_objects(subject=dproduct_id, predicate=PRED.hasStream, object_type=RT.Stream, id_only=True)
stream_id = stream_id[0]
log.info('Created resources: {0}'.format({'ExternalDataset': ds_id, 'ExternalDataProvider': ext_dprov_id, 'DataSource': ext_dsrc_id, 'DataSourceModel': ext_dsrc_model_id, 'DataProducer': dproducer_id, 'DataProduct': dproduct_id, 'Stream': stream_id}))
# Create the logger for receiving publications
_, stream_route, _ = self.create_stream_and_logger(name='slocum', stream_id=stream_id)
self.EDA_RESOURCE_ID = ds_id
self.EDA_NAME = ds_name
self.DVR_CONFIG['dh_cfg'] = {
'TESTING': True,
'stream_id': stream_id,
'stream_route': stream_route,
'stream_def': streamdef_id,
'external_dataset_res': dset,
'data_producer_id': dproducer_id, # CBM: Should this be put in the main body of the config - with mod & cls?
'max_records': 20,
}
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 TestAgentLaunchOps(IonIntegrationTestCase):
def setUp(self):
# Start container
#print 'instantiating container'
self._start_container()
#container = Container()
#print 'starting container'
#container.start()
#print 'started container'
unittest # suppress an pycharm inspector error if all unittest.skip references are commented out
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
self.RR = ResourceRegistryServiceClient(node=self.container.node)
self.IMS = InstrumentManagementServiceClient(node=self.container.node)
self.IDS = IdentityManagementServiceClient(node=self.container.node)
self.PSC = PubsubManagementServiceClient(node=self.container.node)
self.DP = DataProductManagementServiceClient(node=self.container.node)
self.DAMS = DataAcquisitionManagementServiceClient(node=self.container.node)
self.DSC = DatasetManagementServiceClient(node=self.container.node)
self.PDC = ProcessDispatcherServiceClient(node=self.container.node)
self.OMS = ObservatoryManagementServiceClient(node=self.container.node)
self.RR2 = EnhancedResourceRegistryClient(self.RR)
# @unittest.skip('this test just for debugging setup')
# def test_just_the_setup(self):
# return
def test_get_agent_client_noprocess(self):
inst_device_id = self.RR2.create(any_old(RT.InstrumentDevice))
iap = ResourceAgentClient._get_agent_process_id(inst_device_id)
# should be no running agent
self.assertIsNone(iap)
# should raise NotFound
self.assertRaises(NotFound, ResourceAgentClient, inst_device_id)
def test_resource_state_save_restore(self):
# Create InstrumentModel
instModel_obj = IonObject(RT.InstrumentModel,
name='SBE37IMModel',
description="SBE37IMModel")
instModel_id = self.IMS.create_instrument_model(instModel_obj)
log.debug( 'new InstrumentModel id = %s ', instModel_id)
# Create InstrumentAgent
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.IMS.create_instrument_agent(instAgent_obj)
log.debug( 'new InstrumentAgent id = %s', instAgent_id)
self.IMS.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.IMS.create_instrument_device(instrument_device=instDevice_obj)
self.IMS.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.IMS.create_instrument_agent_instance(instAgentInstance_obj,
instAgent_id,
instDevice_id)
tdom, sdom = time_series_domain()
sdom = sdom.dump()
tdom = tdom.dump()
spdict_id = self.DSC.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
parsed_stream_def_id = self.PSC.create_stream_definition(name='parsed', parameter_dictionary_id=spdict_id)
rpdict_id = self.DSC.read_parameter_dictionary_by_name('ctd_raw_param_dict', id_only=True)
raw_stream_def_id = self.PSC.create_stream_definition(name='raw', parameter_dictionary_id=rpdict_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.DP.create_data_product(data_product=dp_obj,
stream_definition_id=parsed_stream_def_id)
log.debug( 'new dp_id = %s', data_product_id1)
self.DAMS.assign_data_product(input_resource_id=instDevice_id, data_product_id=data_product_id1)
self.DP.activate_data_product_persistence(data_product_id=data_product_id1)
self.addCleanup(self.DP.suspend_data_product_persistence, data_product_id1)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.RR.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.RR.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]
#create the datastore at the beginning of each int test that persists data
dp_obj = IonObject(RT.DataProduct,
name='the raw data',
description='raw stream test',
temporal_domain = tdom,
spatial_domain = sdom)
data_product_id2 = self.DP.create_data_product(data_product=dp_obj,
stream_definition_id=raw_stream_def_id)
log.debug( 'new dp_id = %s', str(data_product_id2))
self.DAMS.assign_data_product(input_resource_id=instDevice_id, data_product_id=data_product_id2)
self.DP.activate_data_product_persistence(data_product_id=data_product_id2)
self.addCleanup(self.DP.suspend_data_product_persistence, data_product_id2)
# spin up agent
self.IMS.start_instrument_agent_instance(instrument_agent_instance_id=instAgentInstance_id)
self.addCleanup(self.IMS.stop_instrument_agent_instance,
instrument_agent_instance_id=instAgentInstance_id)
#wait for start
instance_obj = self.IMS.read_instrument_agent_instance(instAgentInstance_id)
gate = AgentProcessStateGate(self.PDC.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)
# take snapshot of config
snap_id = self.IMS.save_resource_state(instDevice_id, "xyzzy snapshot")
snap_obj = self.RR.read_attachment(snap_id, include_content=True)
#modify config
instance_obj.driver_config["comms_config"] = "BAD_DATA"
self.RR.update(instance_obj)
#restore config
self.IMS.restore_resource_state(instDevice_id, snap_id)
instance_obj = self.RR.read(instAgentInstance_id)
if "BAD_DATA" == instance_obj.driver_config["comms_config"]:
print "Saved config:"
print snap_obj.content
self.fail("Saved config was not properly restored")
self.assertNotEqual("BAD_DATA", instance_obj.driver_config["comms_config"])
self.DP.delete_data_product(data_product_id1)
self.DP.delete_data_product(data_product_id2)
def test_agent_instance_config_hasDevice(self):
def assign_fn(child_device_id, parent_device_id):
self.RR2.create_association(parent_device_id, PRED.hasDevice, child_device_id)
def find_fn(parent_device_id):
ret, _ = self.RR.find_objects(subject=parent_device_id, predicate=PRED.hasDevice, id_only=True)
return ret
self.base_agent_instance_config(assign_fn, find_fn)
log.info("END test_agent_instance_config_hasDevice")
def test_agent_instance_config_hasNetworkParent(self):
def assign_fn(child_device_id, parent_device_id):
self.RR2.create_association(child_device_id, PRED.hasNetworkParent, parent_device_id)
def find_fn(parent_device_id):
ret, _ = self.RR.find_subjects(object=parent_device_id, predicate=PRED.hasNetworkParent, id_only=True)
return ret
self.base_agent_instance_config(assign_fn, find_fn)
log.info("END test_agent_instance_config_hasNetworkParent")
def base_agent_instance_config(self,
assign_child_platform_to_parent_platform_fn,
find_child_platform_ids_of_parent_platform_fn):
"""
Verify that agent configurations are being built properly
"""
clients = DotDict()
clients.resource_registry = self.RR
clients.pubsub_management = self.PSC
clients.dataset_management = self.DSC
config_builder = DotDict
config_builder.i = None
config_builder.p = None
def refresh_pconfig_builder_hack(config_builder):
"""
ugly hack to get around "idempotent" RR2 caching
remove after https://github.com/ooici/coi-services/pull/1190
"""
config_builder.p = PlatformAgentConfigurationBuilder(clients)
def refresh_iconfig_builder_hack(config_builder):
"""
ugly hack to get around "idempotent" RR2 caching
remove after https://github.com/ooici/coi-services/pull/1190
"""
config_builder.i = InstrumentAgentConfigurationBuilder(clients)
tdom, sdom = time_series_domain()
sdom = sdom.dump()
tdom = tdom.dump()
org_obj = any_old(RT.Org)
org_id = self.RR2.create(org_obj)
inst_startup_config = {'startup': 'config'}
generic_alerts_config = [ {'lvl2': 'lvl3val'} ]
required_config_keys = [
'org_governance_name',
'device_type',
'agent',
'driver_config',
'stream_config',
'startup_config',
'aparam_alerts_config',
'children']
def verify_instrument_config(config, device_id):
for key in required_config_keys:
self.assertIn(key, config)
self.assertEqual(org_obj.org_governance_name, config['org_governance_name'])
self.assertEqual(RT.InstrumentDevice, config['device_type'])
self.assertIn('driver_config', config)
driver_config = config['driver_config']
expected_driver_fields = {'process_type': ('ZMQPyClassDriverLauncher',),
}
for k, v in expected_driver_fields.iteritems():
self.assertIn(k, driver_config)
self.assertEqual(v, driver_config[k])
self.assertEqual
self.assertEqual({'resource_id': device_id}, config['agent'])
self.assertEqual(inst_startup_config, config['startup_config'])
self.assertIn('aparam_alerts_config', config)
self.assertEqual(generic_alerts_config, config['aparam_alerts_config'])
self.assertIn('stream_config', config)
for key in ['children']:
self.assertEqual({}, config[key])
def verify_child_config(config, device_id, inst_device_id=None):
for key in required_config_keys:
self.assertIn(key, config)
self.assertEqual(org_obj.org_governance_name, config['org_governance_name'])
self.assertEqual(RT.PlatformDevice, config['device_type'])
self.assertEqual({'resource_id': device_id}, config['agent'])
self.assertIn('aparam_alerts_config', config)
self.assertEqual(generic_alerts_config, config['aparam_alerts_config'])
self.assertIn('stream_config', config)
self.assertIn('driver_config', config)
self.assertIn('foo', config['driver_config'])
self.assertIn('ports', config['driver_config'])
self.assertEqual('bar', config['driver_config']['foo'])
self.assertIn('process_type', config['driver_config'])
self.assertEqual(('ZMQPyClassDriverLauncher',), config['driver_config']['process_type'])
if None is inst_device_id:
for key in ['children', 'startup_config']:
self.assertEqual({}, config[key])
else:
for key in ['startup_config']:
self.assertEqual({}, config[key])
self.assertIn(inst_device_id, config['children'])
verify_instrument_config(config['children'][inst_device_id], inst_device_id)
if config['driver_config']['ports']:
self.assertTrue( isinstance(config['driver_config']['ports'], dict) )
def verify_parent_config(config, parent_device_id, child_device_id, inst_device_id=None):
for key in required_config_keys:
self.assertIn(key, config)
self.assertEqual(org_obj.org_governance_name, config['org_governance_name'])
self.assertEqual(RT.PlatformDevice, config['device_type'])
self.assertIn('process_type', config['driver_config'])
self.assertIn('ports', config['driver_config'])
self.assertEqual(('ZMQPyClassDriverLauncher',), config['driver_config']['process_type'])
self.assertEqual({'resource_id': parent_device_id}, config['agent'])
self.assertIn('aparam_alerts_config', config)
self.assertEqual(generic_alerts_config, config['aparam_alerts_config'])
self.assertIn('stream_config', config)
for key in ['startup_config']:
self.assertEqual({}, config[key])
if config['driver_config']['ports']:
self.assertTrue( isinstance(config['driver_config']['ports'], dict) )
self.assertIn(child_device_id, config['children'])
verify_child_config(config['children'][child_device_id], child_device_id, inst_device_id)
rpdict_id = self.DSC.read_parameter_dictionary_by_name('ctd_raw_param_dict', id_only=True)
raw_stream_def_id = self.PSC.create_stream_definition(name='raw', parameter_dictionary_id=rpdict_id)
#todo: create org and figure out which agent resource needs to get assigned to it
def _make_platform_agent_structure(name='', agent_config=None):
if None is agent_config: agent_config = {}
# instance creation
platform_agent_instance_obj = any_old(RT.PlatformAgentInstance, {'driver_config': {'foo': 'bar'},
'alerts': generic_alerts_config})
platform_agent_instance_obj.agent_config = agent_config
platform_agent_instance_id = self.IMS.create_platform_agent_instance(platform_agent_instance_obj)
# agent creation
raw_config = StreamConfiguration(stream_name='raw', parameter_dictionary_name='ctd_raw_param_dict' )
platform_agent_obj = any_old(RT.PlatformAgent, {"stream_configurations":[raw_config]})
platform_agent_id = self.IMS.create_platform_agent(platform_agent_obj)
# device creation
platform_device_id = self.IMS.create_platform_device(any_old(RT.PlatformDevice))
# data product creation
dp_obj = any_old(RT.DataProduct, {"temporal_domain":tdom, "spatial_domain": sdom})
dp_id = self.DP.create_data_product(data_product=dp_obj, stream_definition_id=raw_stream_def_id)
self.DAMS.assign_data_product(input_resource_id=platform_device_id, data_product_id=dp_id)
self.DP.activate_data_product_persistence(data_product_id=dp_id)
self.addCleanup(self.DP.suspend_data_product_persistence, dp_id)
#deployment creation
site_obj = IonObject(RT.PlatformSite, name='sitePlatform')
site_id = self.OMS.create_platform_site(platform_site=site_obj)
# find current deployment using time constraints
current_time = int( calendar.timegm(time.gmtime()) )
# two years on either side of current time
start = current_time - 63115200
end = current_time + 63115200
temporal_bounds = IonObject(OT.TemporalBounds, name='planned', start_datetime=str(start), end_datetime=str(end))
platform_port_obj= IonObject(OT.PlatformPort, reference_designator = 'GA01SUMO-FI003-09-CTDMO0999',
port_type=PortTypeEnum.UPLINK,
ip_address=0)
deployment_obj = IonObject(RT.Deployment,
name='TestPlatformDeployment_' + name,
description='some new deployment',
context=IonObject(OT.CabledNodeDeploymentContext),
constraint_list=[temporal_bounds],
port_assignments={platform_device_id:platform_port_obj})
deploy_id = self.OMS.create_deployment(deployment=deployment_obj, site_id=site_id, device_id=platform_device_id)
# assignments
self.RR2.assign_platform_agent_instance_to_platform_device_with_has_agent_instance(platform_agent_instance_id, platform_device_id)
self.RR2.assign_platform_agent_to_platform_agent_instance_with_has_agent_definition(platform_agent_id, platform_agent_instance_id)
self.RR2.assign_platform_device_to_org_with_has_resource(platform_agent_instance_id, org_id)
return platform_agent_instance_id, platform_agent_id, platform_device_id
def _make_instrument_agent_structure(agent_config=None):
if None is agent_config: agent_config = {}
# instance creation
instrument_agent_instance_obj = any_old(RT.InstrumentAgentInstance, {"startup_config": inst_startup_config,
'alerts': generic_alerts_config})
instrument_agent_instance_obj.agent_config = agent_config
instrument_agent_instance_id = self.IMS.create_instrument_agent_instance(instrument_agent_instance_obj)
# agent creation
raw_config = StreamConfiguration(stream_name='raw',
parameter_dictionary_name='ctd_raw_param_dict' )
instrument_agent_obj = any_old(RT.InstrumentAgent, {"stream_configurations":[raw_config]})
instrument_agent_id = self.IMS.create_instrument_agent(instrument_agent_obj)
# device creation
instrument_device_id = self.IMS.create_instrument_device(any_old(RT.InstrumentDevice))
# data product creation
dp_obj = any_old(RT.DataProduct, {"temporal_domain":tdom, "spatial_domain": sdom})
dp_id = self.DP.create_data_product(data_product=dp_obj, stream_definition_id=raw_stream_def_id)
self.DAMS.assign_data_product(input_resource_id=instrument_device_id, data_product_id=dp_id)
self.DP.activate_data_product_persistence(data_product_id=dp_id)
self.addCleanup(self.DP.suspend_data_product_persistence, dp_id)
#deployment creation
site_obj = IonObject(RT.InstrumentSite, name='siteInstrument')
site_id = self.OMS.create_instrument_site(instrument_site =site_obj)
# find current deployment using time constraints
current_time = int( calendar.timegm(time.gmtime()) )
# two years on either side of current time
start = current_time - 63115200
end = current_time + 63115200
temporal_bounds = IonObject(OT.TemporalBounds, name='planned', start_datetime=str(start), end_datetime=str(end))
platform_port_obj= IonObject(OT.PlatformPort, reference_designator = 'GA01SUMO-FI003-08-CTDMO0888',
port_type=PortTypeEnum.PAYLOAD,
ip_address=0)
deployment_obj = IonObject(RT.Deployment,
name='TestDeployment for Cabled Instrument',
description='some new deployment',
context=IonObject(OT.CabledInstrumentDeploymentContext),
constraint_list=[temporal_bounds],
port_assignments={instrument_device_id:platform_port_obj})
deploy_id = self.OMS.create_deployment(deployment=deployment_obj, site_id=site_id, device_id=instrument_device_id)
# assignments
self.RR2.assign_instrument_agent_instance_to_instrument_device_with_has_agent_instance(instrument_agent_instance_id, instrument_device_id)
self.RR2.assign_instrument_agent_to_instrument_agent_instance_with_has_agent_definition(instrument_agent_id, instrument_agent_instance_id)
self.RR2.assign_instrument_device_to_org_with_has_resource(instrument_agent_instance_id, org_id)
return instrument_agent_instance_id, instrument_agent_id, instrument_device_id
# can't do anything without an agent instance obj
log.debug("Testing that preparing a launcher without agent instance raises an error")
refresh_pconfig_builder_hack(config_builder) # associations have changed since builder was instantiated
self.assertRaises(AssertionError, config_builder.p.prepare, will_launch=False)
log.debug("Making the structure for a platform agent, which will be the child")
platform_agent_instance_child_id, _, platform_device_child_id = _make_platform_agent_structure(name='child')
platform_agent_instance_child_obj = self.RR2.read(platform_agent_instance_child_id)
log.debug("Preparing a valid agent instance launch, for config only")
refresh_pconfig_builder_hack(config_builder) # associations have changed since builder was instantiated
config_builder.p.set_agent_instance_object(platform_agent_instance_child_obj)
child_config = config_builder.p.prepare(will_launch=False)
verify_child_config(child_config, platform_device_child_id)
log.debug("Making the structure for a platform agent, which will be the parent")
platform_agent_instance_parent_id, _, platform_device_parent_id = _make_platform_agent_structure(name='parent')
platform_agent_instance_parent_obj = self.RR2.read(platform_agent_instance_parent_id)
log.debug("Testing child-less parent as a child config")
refresh_pconfig_builder_hack(config_builder) # associations have changed since builder was instantiated
config_builder.p.set_agent_instance_object(platform_agent_instance_parent_obj)
parent_config = config_builder.p.prepare(will_launch=False)
verify_child_config(parent_config, platform_device_parent_id)
log.debug("assigning child platform to parent")
assign_child_platform_to_parent_platform_fn(platform_device_child_id, platform_device_parent_id)
child_device_ids = find_child_platform_ids_of_parent_platform_fn(platform_device_parent_id)
self.assertNotEqual(0, len(child_device_ids))
log.debug("Testing parent + child as parent config")
refresh_pconfig_builder_hack(config_builder) # associations have changed since builder was instantiated
config_builder.p.set_agent_instance_object(platform_agent_instance_parent_obj)
parent_config = config_builder.p.prepare(will_launch=False)
verify_parent_config(parent_config, platform_device_parent_id, platform_device_child_id)
log.debug("making the structure for an instrument agent")
instrument_agent_instance_id, _, instrument_device_id = _make_instrument_agent_structure()
instrument_agent_instance_obj = self.RR2.read(instrument_agent_instance_id)
log.debug("Testing instrument config")
refresh_iconfig_builder_hack(config_builder) # associations have changed since builder was instantiated
config_builder.i.set_agent_instance_object(instrument_agent_instance_obj)
instrument_config = config_builder.i.prepare(will_launch=False)
verify_instrument_config(instrument_config, instrument_device_id)
log.debug("assigning instrument to platform")
self.RR2.assign_instrument_device_to_platform_device_with_has_device(instrument_device_id, platform_device_child_id)
child_device_ids = self.RR2.find_instrument_device_ids_of_platform_device_using_has_device(platform_device_child_id)
self.assertNotEqual(0, len(child_device_ids))
log.debug("Testing entire config")
refresh_pconfig_builder_hack(config_builder) # associations have changed since builder was instantiated
config_builder.p.set_agent_instance_object(platform_agent_instance_parent_obj)
full_config = config_builder.p.prepare(will_launch=False)
verify_parent_config(full_config, platform_device_parent_id, platform_device_child_id, instrument_device_id)
#self.fail(parent_config)
#plauncher.prepare(will_launch=False)
log.info("END base_agent_instance_config")
class TestPolicyManagementServiceInt(IonIntegrationTestCase):
def setUp(self):
# Start container
self._start_container()
self.container.start_rel_from_url('res/deploy/r2coi.yml')
self.convo_management_service = ConversationManagementServiceClient(
node=self.container.node)
self.resource_registry = ResourceRegistryServiceClient(
node=self.container.node)
self.rpc_scribble_protocol = \
'''global protocol RPC (role provider, role requester)
{
request from requester to provider;
choice at provider {
accept from provider to requester;
choice at provider {
(inform) from provider to requester;
} or {
(failure) from provider to requester;}
} or {
reject from provider to requester;}}'''
def test_conversation_type_crud(self):
bad_obj = IonObject('ConversationType',
name='bad name',
definition=self.rpc_scribble_protocol)
with self.assertRaises(BadRequest):
self.convo_management_service.create_conversation_type(bad_obj)
convo_type_obj = IonObject('ConversationType',
name='RPC',
definition=self.rpc_scribble_protocol)
convo_type_id = self.convo_management_service.create_conversation_type(
convo_type_obj)
self.assertNotEqual(convo_type_id, None)
with self.assertRaises(BadRequest):
self.convo_management_service.read_conversation_type()
convo_type = None
convo_type = self.convo_management_service.read_conversation_type(
convo_type_id)
self.assertNotEqual(convo_type, None)
convo_type.name = 'RPC_2'
self.convo_management_service.update_conversation_type(convo_type)
convo_type = None
convo_type = self.convo_management_service.read_conversation_type(
convo_type_id)
self.assertNotEqual(convo_type, None)
self.assertEqual(convo_type.name, 'RPC_2')
self.convo_management_service.delete_conversation_type(convo_type_id)
with self.assertRaises(NotFound) as cm:
self.convo_management_service.read_conversation_type(convo_type_id)
self.assertIn("does not exist", cm.exception.message)
with self.assertRaises(NotFound) as cm:
self.convo_management_service.delete_conversation_type(
convo_type_id)
self.assertIn("does not exist", cm.exception.message)
with self.assertRaises(BadRequest):
self.convo_management_service.delete_conversation_type()
def test_conversation_role_crud(self):
bad_obj = IonObject("ConversationRole", {"name": "bad name"})
with self.assertRaises(BadRequest):
self.convo_management_service.create_conversation_role(bad_obj)
convo_role_obj = IonObject("ConversationRole", {"name": "provider"})
convo_role_id = self.convo_management_service.create_conversation_role(
convo_role_obj)
self.assertNotEqual(convo_role_id, None)
with self.assertRaises(BadRequest):
self.convo_management_service.read_conversation_role()
convo_role = None
convo_role = self.convo_management_service.read_conversation_role(
convo_role_id)
self.assertNotEqual(convo_role, None)
with self.assertRaises(BadRequest):
self.convo_management_service.update_conversation_type(bad_obj)
convo_role.name = 'requester'
self.convo_management_service.update_conversation_type(convo_role)
convo_role = None
convo_role = self.convo_management_service.read_conversation_role(
convo_role_id)
self.assertNotEqual(convo_role, None)
self.assertEqual(convo_role.name, 'requester')
with self.assertRaises(BadRequest):
self.convo_management_service.delete_conversation_role()
self.convo_management_service.delete_conversation_role(convo_role_id)
with self.assertRaises(NotFound) as cm:
self.convo_management_service.read_conversation_role(convo_role_id)
self.assertIn("does not exist", cm.exception.message)
with self.assertRaises(NotFound) as cm:
self.convo_management_service.delete_conversation_role(
convo_role_id)
self.assertIn("does not exist", cm.exception.message)
def test_conversation_type_role_binding(self):
convo_type_obj = IonObject('ConversationType',
name='RPC',
definition=self.rpc_scribble_protocol)
convo_type_id = self.convo_management_service.create_conversation_type(
convo_type_obj)
self.assertNotEqual(convo_type_id, None)
convo_role_obj = IonObject("ConversationRole", {"name": "provider"})
convo_role_id = self.convo_management_service.create_conversation_role(
convo_role_obj)
self.assertNotEqual(convo_role_id, None)
self.convo_management_service.bind_conversation_type_to_role(
convo_type_id, convo_role_id)
convo_role_obj = IonObject("ConversationRole", {"name": "requester"})
convo_role_id = self.convo_management_service.create_conversation_role(
convo_role_obj)
self.assertNotEqual(convo_role_id, None)
with self.assertRaises(BadRequest):
self.convo_management_service.bind_conversation_type_to_role()
self.convo_management_service.bind_conversation_type_to_role(
convo_type_id, convo_role_id)
assoc, _ = self.resource_registry.find_objects(convo_type_id,
PRED.hasRole,
RT.ConversationRole)
self.assertEqual(len(assoc), 2)
with self.assertRaises(BadRequest):
self.convo_management_service.unbind_conversation_type_to_role()
self.convo_management_service.unbind_conversation_type_to_role(
convo_type_id, convo_role_id)
assoc, _ = self.resource_registry.find_objects(convo_type_id,
PRED.hasRole,
RT.ConversationRole)
self.assertEqual(len(assoc), 1)
class TestExternalDatasetAgentMgmt(IonIntegrationTestCase):
# DataHandler config
DVR_CONFIG = {
'dvr_mod': 'ion.agents.data.handlers.base_data_handler',
'dvr_cls': 'DummyDataHandler',
}
def setUp(self):
# Start container
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
log.debug("TestExternalDatasetAgentMgmt: 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.dpclient = DataProductManagementServiceClient(
node=self.container.node)
self.datasetclient = DatasetManagementServiceClient(
node=self.container.node)
def test_activateDatasetAgent(self):
# Create ExternalDatasetModel
datsetModel_obj = IonObject(RT.ExternalDatasetModel,
name='ExampleDatasetModel',
description="ExampleDatasetModel",
datset_type="FibSeries")
try:
datasetModel_id = self.damsclient.create_external_dataset_model(
datsetModel_obj)
except BadRequest as ex:
self.fail("failed to create new ExternalDatasetModel: %s" % ex)
log.debug(
"TestExternalDatasetAgentMgmt: new ExternalDatasetModel id = %s",
str(datasetModel_id))
# Create ExternalDatasetAgent
datasetAgent_obj = IonObject(RT.ExternalDatasetAgent,
name='datasetagent007',
description="datasetagent007",
handler_module=EDA_MOD,
handler_class=EDA_CLS)
try:
datasetAgent_id = self.damsclient.create_external_dataset_agent(
datasetAgent_obj, datasetModel_id)
except BadRequest as ex:
self.fail("failed to create new ExternalDatasetAgent: %s" % ex)
log.debug(
"TestExternalDatasetAgentMgmt: new ExternalDatasetAgent id = %s",
str(datasetAgent_id))
# Create ExternalDataset
log.debug(
'TestExternalDatasetAgentMgmt: Create external dataset resource ')
extDataset_obj = IonObject(RT.ExternalDataset,
name='ExtDataset',
description="ExtDataset")
try:
extDataset_id = self.damsclient.create_external_dataset(
extDataset_obj, datasetModel_id)
except BadRequest as ex:
self.fail("failed to create new external dataset resource: %s" %
ex)
log.debug(
"TestExternalDatasetAgentMgmt: new ExternalDataset id = %s ",
str(extDataset_id))
#register the dataset as a data producer
dproducer_id = self.damsclient.register_external_data_set(
extDataset_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(
"TestExternalDatasetAgentMgmt: new Stream Definition id = %s",
str(ctd_stream_def_id))
log.debug(
"TestExternalDatasetAgentMgmt: Creating new data product with a stream definition"
)
dp_obj = IonObject(RT.DataProduct,
name='eoi dataset data',
description=' stream test')
try:
data_product_id1 = self.dpclient.create_data_product(
dp_obj, ctd_stream_def_id)
except BadRequest as ex:
self.fail("failed to create new data product: %s" % ex)
log.debug("TestExternalDatasetAgentMgmt: new dp_id = %s",
str(data_product_id1))
self.damsclient.assign_data_product(input_resource_id=extDataset_id,
data_product_id=data_product_id1)
self.dpclient.activate_data_product_persistence(
data_product_id=data_product_id1,
persist_data=True,
persist_metadata=True)
# 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("TestExternalDatasetAgentMgmt: Data product streams1 = %s",
str(stream_ids))
stream_id = stream_ids[0]
# Build a taxonomy for the dataset
tx = TaxyTool()
tx.add_taxonomy_set('data', 'external_data')
# Augment the DVR_CONFIG with the necessary pieces
self.DVR_CONFIG['dh_cfg'] = {
'TESTING': True,
'stream_id':
stream_id, #TODO: This should probably be a 'stream_config' dict with stream_name:stream_id members
'data_producer_id': dproducer_id,
# 'external_dataset_res':extDataset_obj, # Not needed - retrieved by EDA based on resource_id
'taxonomy': tx.dump(), #TODO: Currently does not support sets
'max_records': 4,
}
# Create agent config.
self._stream_config = {}
agent_config = {
'driver_config': self.DVR_CONFIG,
'stream_config': self._stream_config,
'agent': {
'resource_id': EDA_RESOURCE_ID
},
'test_mode': True
}
extDatasetAgentInstance_obj = IonObject(
RT.ExternalDatasetAgentInstance,
name='DatasetAgentInstance',
description="DatasetAgentInstance",
dataset_driver_config=self.DVR_CONFIG,
dataset_agent_config=agent_config)
extDatasetAgentInstance_id = self.damsclient.create_external_dataset_agent_instance(
external_dataset_agent_instance=extDatasetAgentInstance_obj,
external_dataset_agent_id=datasetAgent_id,
external_dataset_id=extDataset_id)
log.debug(
"TestExternalDatasetAgentMgmt: Dataset agent instance obj: = %s",
str(extDatasetAgentInstance_obj))
log.debug(
"TestExternalDatasetAgentMgmt: Dataset agent instance id: = %s",
str(extDatasetAgentInstance_id))
#Check that the instance is currently not active
id, active = self.damsclient.retrieve_external_dataset_agent_instance(
extDataset_id)
log.debug(
"TestExternalDatasetAgentMgmt: Dataset agent instance id: = %s active 1 = %s ",
str(id), str(active))
self.damsclient.start_external_dataset_agent_instance(
extDatasetAgentInstance_id)
dataset_agent_instance_obj = self.damsclient.read_external_dataset_agent_instance(
extDatasetAgentInstance_id)
log.debug(
"TestExternalDatasetAgentMgmt: Dataset agent instance obj: = %s",
str(dataset_agent_instance_obj))
# now the instance process should be active
id, active = self.damsclient.retrieve_external_dataset_agent_instance(
extDataset_id)
log.debug(
"TestExternalDatasetAgentMgmt: Dataset agent instance id: = %s active 2 = %s ",
str(id), str(active))
# Start a resource agent client to talk with the instrument agent.
self._dsa_client = ResourceAgentClient(extDataset_id,
process=FakeProcess())
print 'TestExternalDatasetAgentMgmt: got ia client %s', self._dsa_client
log.debug("TestExternalDatasetAgentMgmt: got dataset client %s",
str(self._dsa_client))
# cmd=AgentCommand(command='initialize')
# _ = self._dsa_client.execute_agent(cmd)
#
# cmd = AgentCommand(command='go_active')
# _ = self._dsa_client.execute_agent(cmd)
#
# cmd = AgentCommand(command='run')
# _ = self._dsa_client.execute_agent(cmd)
#
# log.info('Send an unconstrained request for data (\'new data\')')
# cmd = AgentCommand(command='acquire_data')
# self._dsa_client.execute(cmd)
#
# log.info('Send a second unconstrained request for data (\'new data\'), should be rejected')
# cmd = AgentCommand(command='acquire_data')
# self._dsa_client.execute(cmd)
#
# cmd = AgentCommand(command='reset')
# _ = self._dsa_client.execute_agent(cmd)
# cmd = AgentCommand(command='get_current_state')
# retval = self._dsa_client.execute_agent(cmd)
# state = retval.result
# TODO: Think about what we really should be testing at this point
# The following is taken from ion.agents.data.test.test_external_dataset_agent.ExternalDatasetAgentTestBase.test_states()
# TODO: Do we also need to show data retrieval?
cmd = AgentCommand(command='get_current_state')
retval = self._dsa_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.UNINITIALIZED)
cmd = AgentCommand(command='initialize')
retval = self._dsa_client.execute_agent(cmd)
cmd = AgentCommand(command='get_current_state')
retval = self._dsa_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.INACTIVE)
cmd = AgentCommand(command='go_active')
retval = self._dsa_client.execute_agent(cmd)
cmd = AgentCommand(command='get_current_state')
retval = self._dsa_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.IDLE)
cmd = AgentCommand(command='run')
retval = self._dsa_client.execute_agent(cmd)
cmd = AgentCommand(command='get_current_state')
retval = self._dsa_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.OBSERVATORY)
cmd = AgentCommand(command='pause')
retval = self._dsa_client.execute_agent(cmd)
cmd = AgentCommand(command='get_current_state')
retval = self._dsa_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.STOPPED)
cmd = AgentCommand(command='resume')
retval = self._dsa_client.execute_agent(cmd)
cmd = AgentCommand(command='get_current_state')
retval = self._dsa_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.OBSERVATORY)
cmd = AgentCommand(command='clear')
retval = self._dsa_client.execute_agent(cmd)
cmd = AgentCommand(command='get_current_state')
retval = self._dsa_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.IDLE)
cmd = AgentCommand(command='run')
retval = self._dsa_client.execute_agent(cmd)
cmd = AgentCommand(command='get_current_state')
retval = self._dsa_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.OBSERVATORY)
cmd = AgentCommand(command='pause')
retval = self._dsa_client.execute_agent(cmd)
cmd = AgentCommand(command='get_current_state')
retval = self._dsa_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.STOPPED)
cmd = AgentCommand(command='clear')
retval = self._dsa_client.execute_agent(cmd)
cmd = AgentCommand(command='get_current_state')
retval = self._dsa_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.IDLE)
cmd = AgentCommand(command='run')
retval = self._dsa_client.execute_agent(cmd)
cmd = AgentCommand(command='get_current_state')
retval = self._dsa_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.OBSERVATORY)
cmd = AgentCommand(command='reset')
retval = self._dsa_client.execute_agent(cmd)
cmd = AgentCommand(command='get_current_state')
retval = self._dsa_client.execute_agent(cmd)
state = retval.result
self.assertEqual(state, InstrumentAgentState.UNINITIALIZED)
#-------------------------------
# Deactivate InstrumentAgentInstance
#-------------------------------
self.damsclient.stop_external_dataset_agent_instance(
extDatasetAgentInstance_id)
class TestCTDPChain(IonIntegrationTestCase):
def setUp(self):
super(TestCTDPChain, self).setUp()
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
self.pubsub = PubsubManagementServiceClient()
self.process_dispatcher = ProcessDispatcherServiceClient()
self.dataset_management = DatasetManagementServiceClient()
self.data_process_management = DataProcessManagementServiceClient()
self.dataproduct_management = DataProductManagementServiceClient()
self.resource_registry = ResourceRegistryServiceClient()
# This is for the time values inside the packets going into the transform
self.i = 0
self.cnt = 0
# Cleanup of queue created by the subscriber
self.queue_cleanup = []
self.data_process_cleanup = []
def _get_new_ctd_L0_packet(self, stream_definition_id, length):
rdt = RecordDictionaryTool(stream_definition_id=stream_definition_id)
rdt['time'] = numpy.arange(self.i, self.i + length)
for field in rdt:
if isinstance(
rdt._pdict.get_context(field).param_type, QuantityType):
rdt[field] = numpy.array(
[random.uniform(0.0, 75.0) for i in xrange(length)])
g = rdt.to_granule()
self.i += length
return g
def clean_queues(self):
for queue in self.queue_cleanup:
xn = self.container.ex_manager.create_xn_queue(queue)
xn.delete()
def cleaning_operations(self):
for dproc_id in self.data_process_cleanup:
self.data_process_management.delete_data_process(dproc_id)
def test_ctdp_chain(self):
"""
Test that packets are processed by a chain of CTDP transforms: L0, L1 and L2
"""
#-------------------------------------------------------------------------------------
# Prepare the stream def to be used for transform chain
#-------------------------------------------------------------------------------------
#todo Check whether the right parameter dictionary is being used
self._prepare_stream_def_for_transform_chain()
#-------------------------------------------------------------------------------------
# Prepare the data proc defs and in and out data products for the transforms
#-------------------------------------------------------------------------------------
# list_args_L0 = [data_proc_def_id, input_dpod_id, output_dpod_id]
list_args_L0 = self._prepare_things_you_need_to_launch_transform(
name_of_transform='L0')
list_args_L1 = self._prepare_things_you_need_to_launch_transform(
name_of_transform='L1')
list_args_L2_density = self._prepare_things_you_need_to_launch_transform(
name_of_transform='L2_density')
list_args_L2_salinity = self._prepare_things_you_need_to_launch_transform(
name_of_transform='L2_salinity')
log.debug(
"Got the following args: L0 = %s, L1 = %s, L2 density = %s, L2 salinity = %s",
list_args_L0, list_args_L1, list_args_L2_density,
list_args_L2_salinity)
#-------------------------------------------------------------------------------------
# Launch the CTDP transforms
#-------------------------------------------------------------------------------------
L0_data_proc_id = self._launch_transform('L0', *list_args_L0)
L1_data_proc_id = self._launch_transform('L1', *list_args_L1)
L2_density_data_proc_id = self._launch_transform(
'L2_density', *list_args_L2_density)
L2_salinity_data_proc_id = self._launch_transform(
'L2_salinity', *list_args_L2_salinity)
log.debug("Launched the transforms: L0 = %s, L1 = %s", L0_data_proc_id,
L1_data_proc_id)
#-------------------------------------------------------------------------
# Start a subscriber listening to the output of each of the transforms
#-------------------------------------------------------------------------
ar_L0 = self.start_subscriber_listening_to_L0_transform(
out_data_prod_id=list_args_L0[2])
ar_L1 = self.start_subscriber_listening_to_L1_transform(
out_data_prod_id=list_args_L1[2])
ar_L2_density = self.start_subscriber_listening_to_L2_density_transform(
out_data_prod_id=list_args_L2_density[2])
ar_L2_salinity = self.start_subscriber_listening_to_L2_density_transform(
out_data_prod_id=list_args_L2_salinity[2])
#-------------------------------------------------------------------
# Publish the parsed packets that the L0 transform is listening for
#-------------------------------------------------------------------
stream_id, stream_route = self.get_stream_and_route_for_data_prod(
data_prod_id=list_args_L0[1])
self._publish_for_L0_transform(stream_id, stream_route)
#-------------------------------------------------------------------
# Check the granules being outputted by the transforms
#-------------------------------------------------------------------
self._check_granule_from_L0_transform(ar_L0)
self._check_granule_from_L1_transform(ar_L1)
self._check_granule_from_L2_density_transform(ar_L2_density)
self._check_granule_from_L2_salinity_transform(ar_L2_salinity)
def _prepare_stream_def_for_transform_chain(self):
# Get the stream definition for the stream using the parameter dictionary
# pdict_id = self.dataset_management.read_parameter_dictionary_by_name(parameter_dict_name, id_only=True)
pdict_id = self._create_input_param_dict_for_test(
parameter_dict_name='input_param_for_L0')
self.in_stream_def_id_for_L0 = self.pubsub.create_stream_definition(
name='stream_def_for_L0', parameter_dictionary_id=pdict_id)
self.addCleanup(self.pubsub.delete_stream_definition,
self.in_stream_def_id_for_L0)
pdict_id = self._create_input_param_dict_for_test(
parameter_dict_name='params_for_other_transforms')
self.stream_def_id = self.pubsub.create_stream_definition(
name='stream_def_for_CTDBP_transforms',
parameter_dictionary_id=pdict_id)
self.addCleanup(self.pubsub.delete_stream_definition,
self.stream_def_id)
log.debug("Got the parsed parameter dictionary: id: %s", pdict_id)
log.debug("Got the stream def for parsed input to L0: %s",
self.in_stream_def_id_for_L0)
log.debug("Got the stream def for other other streams: %s",
self.stream_def_id)
def _prepare_things_you_need_to_launch_transform(self,
name_of_transform=''):
module, class_name = self._get_class_module(name_of_transform)
#-------------------------------------------------------------------------
# Data Process Definition
#-------------------------------------------------------------------------
dpd_obj = IonObject(
RT.DataProcessDefinition,
name='CTDBP_%s_Transform' % name_of_transform,
description='Data Process Definition for the CTDBP %s transform.' %
name_of_transform,
module=module,
class_name=class_name)
data_proc_def_id = self.data_process_management.create_data_process_definition(
dpd_obj)
self.addCleanup(
self.data_process_management.delete_data_process_definition,
data_proc_def_id)
log.debug("created data process definition: id = %s", data_proc_def_id)
#-------------------------------------------------------------------------
# Construct temporal and spatial Coordinate Reference System objects for the data product objects
#-------------------------------------------------------------------------
tdom, sdom = time_series_domain()
sdom = sdom.dump()
tdom = tdom.dump()
#-------------------------------------------------------------------------
# Get the names of the input and output data products
#-------------------------------------------------------------------------
input_dpod_id = ''
output_dpod_id = ''
if name_of_transform == 'L0':
input_dpod_id = self._create_input_data_product(
'parsed', tdom, sdom)
output_dpod_id = self._create_output_data_product('L0', tdom, sdom)
self.in_prod_for_L1 = output_dpod_id
elif name_of_transform == 'L1':
input_dpod_id = self.in_prod_for_L1
output_dpod_id = self._create_output_data_product('L1', tdom, sdom)
self.in_prod_for_L2 = output_dpod_id
elif name_of_transform == 'L2_density':
input_dpod_id = self.in_prod_for_L2
output_dpod_id = self._create_output_data_product(
'L2_density', tdom, sdom)
elif name_of_transform == 'L2_salinity':
input_dpod_id = self.in_prod_for_L2
output_dpod_id = self._create_output_data_product(
'L2_salinity', tdom, sdom)
else:
self.fail("something bad happened")
return [data_proc_def_id, input_dpod_id, output_dpod_id]
def _get_class_module(self, name_of_transform):
options = {
'L0': self._class_module_L0,
'L1': self._class_module_L1,
'L2_density': self._class_module_L2_density,
'L2_salinity': self._class_module_L2_salinity
}
return options[name_of_transform]()
def _class_module_L0(self):
module = 'ion.processes.data.transforms.ctdbp.ctdbp_L0'
class_name = 'CTDBP_L0_all'
return module, class_name
def _class_module_L1(self):
module = 'ion.processes.data.transforms.ctdbp.ctdbp_L1'
class_name = 'CTDBP_L1_Transform'
return module, class_name
def _class_module_L2_density(self):
module = 'ion.processes.data.transforms.ctdbp.ctdbp_L2_density'
class_name = 'CTDBP_DensityTransform'
return module, class_name
def _class_module_L2_salinity(self):
module = 'ion.processes.data.transforms.ctdbp.ctdbp_L2_salinity'
class_name = 'CTDBP_SalinityTransform'
return module, class_name
def _create_input_data_product(self,
name_of_transform='',
tdom=None,
sdom=None):
dpod_obj = IonObject(RT.DataProduct,
name='dprod_%s' % name_of_transform,
description='for_%s' % name_of_transform,
temporal_domain=tdom,
spatial_domain=sdom)
log.debug("the stream def id: %s", self.stream_def_id)
if name_of_transform == 'L0':
stream_def_id = self.in_stream_def_id_for_L0
else:
stream_def_id = self.stream_def_id
dpod_id = self.dataproduct_management.create_data_product(
data_product=dpod_obj, stream_definition_id=stream_def_id)
self.addCleanup(self.dataproduct_management.delete_data_product,
dpod_id)
log.debug("got the data product out. id: %s", dpod_id)
return dpod_id
def _create_output_data_product(self,
name_of_transform='',
tdom=None,
sdom=None):
dpod_obj = IonObject(RT.DataProduct,
name='dprod_%s' % name_of_transform,
description='for_%s' % name_of_transform,
temporal_domain=tdom,
spatial_domain=sdom)
if name_of_transform == 'L0':
stream_def_id = self.in_stream_def_id_for_L0
else:
stream_def_id = self.stream_def_id
dpod_id = self.dataproduct_management.create_data_product(
data_product=dpod_obj, stream_definition_id=stream_def_id)
self.addCleanup(self.dataproduct_management.delete_data_product,
dpod_id)
return dpod_id
def _launch_transform(self,
name_of_transform='',
data_proc_def_id=None,
input_dpod_id=None,
output_dpod_id=None):
# We need the key name here to be "L2_stream", since when the data process is launched, this name goes into
# the config as in config.process.publish_streams.L2_stream when the config is used to launch the data process
if name_of_transform in ['L0', 'L1']:
binding = '%s_stream' % name_of_transform
elif name_of_transform == 'L2_salinity':
binding = 'salinity'
elif name_of_transform == 'L2_density':
binding = 'density'
output_products = {binding: output_dpod_id}
config = None
if name_of_transform == 'L1':
config = self._create_calibration_coefficients_dict()
elif name_of_transform == 'L2_density':
config = DotDict()
config.process = {'lat': 32.7153, 'lon': 117.1564}
data_proc_id = self.data_process_management.create_data_process(
data_proc_def_id, [input_dpod_id], output_products, config)
self.addCleanup(self.data_process_management.delete_data_process,
data_proc_id)
self.data_process_management.activate_data_process(data_proc_id)
self.addCleanup(self.data_process_management.deactivate_data_process,
data_proc_id)
log.debug("Created a data process for ctdbp %s transform: id = %s",
name_of_transform, data_proc_id)
return data_proc_id
def get_stream_and_route_for_data_prod(self, data_prod_id=''):
stream_ids, _ = self.resource_registry.find_objects(
data_prod_id, PRED.hasStream, RT.Stream, True)
stream_id = stream_ids[0]
input_stream = self.resource_registry.read(stream_id)
stream_route = input_stream.stream_route
return stream_id, stream_route
def start_subscriber_listening_to_L0_transform(self, out_data_prod_id=''):
#----------- Create subscribers to listen to the two transforms --------------------------------
stream_ids, _ = self.resource_registry.find_objects(
out_data_prod_id, PRED.hasStream, RT.Stream, True)
output_stream_id_of_transform = stream_ids[0]
ar_L0 = self._start_subscriber_to_transform(
name_of_transform='L0', stream_id=output_stream_id_of_transform)
return ar_L0
def start_subscriber_listening_to_L1_transform(self, out_data_prod_id=''):
#----------- Create subscribers to listen to the two transforms --------------------------------
stream_ids, _ = self.resource_registry.find_objects(
out_data_prod_id, PRED.hasStream, RT.Stream, True)
output_stream_id_of_transform = stream_ids[0]
ar_L1 = self._start_subscriber_to_transform(
name_of_transform='L1', stream_id=output_stream_id_of_transform)
return ar_L1
def start_subscriber_listening_to_L2_density_transform(
self, out_data_prod_id=''):
#----------- Create subscribers to listen to the two transforms --------------------------------
stream_ids, _ = self.resource_registry.find_objects(
out_data_prod_id, PRED.hasStream, RT.Stream, True)
output_stream_id_of_transform = stream_ids[0]
ar_L2_density = self._start_subscriber_to_transform(
name_of_transform='L2_density',
stream_id=output_stream_id_of_transform)
return ar_L2_density
def start_subscriber_listening_to_L2_salinity_transform(
self, out_data_prod_id=''):
#----------- Create subscribers to listen to the two transforms --------------------------------
stream_ids, _ = self.resource_registry.find_objects(
out_data_prod_id, PRED.hasStream, RT.Stream, True)
output_stream_id_of_transform = stream_ids[0]
ar_L2_density = self._start_subscriber_to_transform(
name_of_transform='L2_salinity',
stream_id=output_stream_id_of_transform)
return ar_L2_density
def _start_subscriber_to_transform(self,
name_of_transform='',
stream_id=''):
ar = gevent.event.AsyncResult()
def subscriber(m, r, s):
ar.set(m)
sub = StandaloneStreamSubscriber(exchange_name='sub_%s' %
name_of_transform,
callback=subscriber)
# Note that this running the below line creates an exchange since none of that name exists before
sub_id = self.pubsub.create_subscription(
'subscriber_to_transform_%s' % name_of_transform,
stream_ids=[stream_id],
exchange_name='sub_%s' % name_of_transform)
self.addCleanup(self.pubsub.delete_subscription, sub_id)
self.pubsub.activate_subscription(sub_id)
self.addCleanup(self.pubsub.deactivate_subscription, sub_id)
sub.start()
self.addCleanup(sub.stop)
return ar
def _check_granule_from_L0_transform(self, ar=None):
granule_from_transform = ar.get(timeout=20)
log.debug("Got the following granule from the L0 transform: %s",
granule_from_transform)
# Check the algorithm being applied
self._check_application_of_L0_algorithm(granule_from_transform)
def _check_granule_from_L1_transform(self, ar=None):
granule_from_transform = ar.get(timeout=20)
log.debug("Got the following granule from the L1 transform: %s",
granule_from_transform)
# Check the algorithm being applied
self._check_application_of_L1_algorithm(granule_from_transform)
def _check_granule_from_L2_density_transform(self, ar=None):
granule_from_transform = ar.get(timeout=20)
log.debug("Got the following granule from the L2 transform: %s",
granule_from_transform)
# Check the algorithm being applied
self._check_application_of_L2_density_algorithm(granule_from_transform)
def _check_granule_from_L2_salinity_transform(self, ar=None):
granule_from_transform = ar.get(timeout=20)
log.debug("Got the following granule from the L2 transform: %s",
granule_from_transform)
# Check the algorithm being applied
self._check_application_of_L2_salinity_algorithm(
granule_from_transform)
def _check_application_of_L0_algorithm(self, granule=None):
""" Check the algorithm applied by the L0 transform """
rdt = RecordDictionaryTool.load_from_granule(granule)
for key, value in rdt.iteritems():
list_of_expected_keys = [
'time', 'pressure', 'conductivity', 'temperature'
]
if key not in list_of_expected_keys:
self.fail(
"The L0 transform is sending out data for more parameters than it should"
)
def _check_application_of_L1_algorithm(self, granule=None):
""" Check the algorithm applied by the L1 transform """
rdt = RecordDictionaryTool.load_from_granule(granule)
for key, value in rdt.iteritems():
list_of_expected_keys = [
'time', 'pressure', 'conductivity', 'temp'
]
if key not in list_of_expected_keys:
self.fail(
"The L1 transform is sending out data for more parameters than it should"
)
def _check_application_of_L2_density_algorithm(self, granule=None):
""" Check the algorithm applied by the L2 transform """
rdt = RecordDictionaryTool.load_from_granule(granule)
for key, value in rdt.iteritems():
list_of_expected_keys = ['time', 'density']
if key not in list_of_expected_keys:
self.fail(
"The L2 density transform is sending out data for more parameters than it should"
)
def _check_application_of_L2_salinity_algorithm(self, granule=None):
""" Check the algorithm applied by the L2 transform """
rdt = RecordDictionaryTool.load_from_granule(granule)
for key, value in rdt.iteritems():
list_of_expected_keys = ['time', 'salinity']
if key not in list_of_expected_keys:
self.fail(
"The L2 salinity transform is sending out data for more parameters than it should"
)
def _publish_for_L0_transform(self,
input_stream_id=None,
stream_route=None):
#----------- Publish on that stream so that the transform can receive it --------------------------------
self._publish_to_transform(input_stream_id, stream_route)
def _publish_to_transform(self, stream_id='', stream_route=None):
pub = StandaloneStreamPublisher(stream_id, stream_route)
publish_granule = self._get_new_ctd_L0_packet(
stream_definition_id=self.in_stream_def_id_for_L0, length=5)
pub.publish(publish_granule)
log.debug("Published the following granule: %s", publish_granule)
def _create_input_param_dict_for_test(self, parameter_dict_name=''):
pdict = ParameterDictionary()
t_ctxt = ParameterContext(
'time',
param_type=QuantityType(value_encoding=numpy.dtype('float64')))
t_ctxt.axis = AxisTypeEnum.TIME
t_ctxt.uom = 'seconds since 01-01-1900'
pdict.add_context(t_ctxt)
cond_ctxt = ParameterContext(
'conductivity',
param_type=QuantityType(value_encoding=numpy.dtype('float32')))
cond_ctxt.uom = ''
pdict.add_context(cond_ctxt)
pres_ctxt = ParameterContext(
'pressure',
param_type=QuantityType(value_encoding=numpy.dtype('float32')))
pres_ctxt.uom = ''
pdict.add_context(pres_ctxt)
if parameter_dict_name == 'input_param_for_L0':
temp_ctxt = ParameterContext(
'temperature',
param_type=QuantityType(value_encoding=numpy.dtype('float32')))
else:
temp_ctxt = ParameterContext(
'temp',
param_type=QuantityType(value_encoding=numpy.dtype('float32')))
temp_ctxt.uom = ''
pdict.add_context(temp_ctxt)
dens_ctxt = ParameterContext(
'density',
param_type=QuantityType(value_encoding=numpy.dtype('float32')))
dens_ctxt.uom = ''
pdict.add_context(dens_ctxt)
sal_ctxt = ParameterContext(
'salinity',
param_type=QuantityType(value_encoding=numpy.dtype('float32')))
sal_ctxt.uom = ''
pdict.add_context(sal_ctxt)
#create temp streamdef so the data product can create the stream
pc_list = []
for pc_k, pc in pdict.iteritems():
ctxt_id = self.dataset_management.create_parameter_context(
pc_k, pc[1].dump())
pc_list.append(ctxt_id)
if parameter_dict_name == 'input_param_for_L0':
self.addCleanup(
self.dataset_management.delete_parameter_context, ctxt_id)
elif pc[1].name == 'temp':
self.addCleanup(
self.dataset_management.delete_parameter_context, ctxt_id)
pdict_id = self.dataset_management.create_parameter_dictionary(
parameter_dict_name, pc_list)
self.addCleanup(self.dataset_management.delete_parameter_dictionary,
pdict_id)
return pdict_id
def _create_calibration_coefficients_dict(self):
config = DotDict()
config.process.calibration_coeffs = {
'temp_calibration_coeffs': {
'TA0': 1.561342e-03,
'TA1': 2.561486e-04,
'TA2': 1.896537e-07,
'TA3': 1.301189e-07,
'TOFFSET': 0.000000e+00
},
'cond_calibration_coeffs': {
'G': -9.896568e-01,
'H': 1.316599e-01,
'I': -2.213854e-04,
'J': 3.292199e-05,
'CPCOR': -9.570000e-08,
'CTCOR': 3.250000e-06,
'CSLOPE': 1.000000e+00
},
'pres_calibration_coeffs': {
'PA0': 4.960417e-02,
'PA1': 4.883682e-04,
'PA2': -5.687309e-12,
'PTCA0': 5.249802e+05,
'PTCA1': 7.595719e+00,
'PTCA2': -1.322776e-01,
'PTCB0': 2.503125e+01,
'PTCB1': 5.000000e-05,
'PTCB2': 0.000000e+00,
'PTEMPA0': -6.431504e+01,
'PTEMPA1': 5.168177e+01,
'PTEMPA2': -2.847757e-01,
'POFFSET': 0.000000e+00
}
}
return config
class TestInstrumentManagementServiceIntegration(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')
self.RR = ResourceRegistryServiceClient(node=self.container.node)
self.IMS = InstrumentManagementServiceClient(node=self.container.node)
self.IDS = IdentityManagementServiceClient(node=self.container.node)
self.PSC = PubsubManagementServiceClient(node=self.container.node)
self.DP = DataProductManagementServiceClient(node=self.container.node)
self.DAMS = DataAcquisitionManagementServiceClient(node=self.container.node)
self.DSC = DatasetManagementServiceClient(node=self.container.node)
self.PDC = ProcessDispatcherServiceClient(node=self.container.node)
self.RR2 = EnhancedResourceRegistryClient(self.RR)
print 'started services'
# @unittest.skip('this test just for debugging setup')
# def test_just_the_setup(self):
# return
@attr('EXT')
def test_resources_associations_extensions(self):
"""
create one of each resource and association used by IMS
to guard against problems in ion-definitions
"""
#stuff we control
instrument_agent_instance_id, _ = self.RR.create(any_old(RT.InstrumentAgentInstance))
instrument_agent_id, _ = self.RR.create(any_old(RT.InstrumentAgent))
instrument_model_id, _ = self.RR.create(any_old(RT.InstrumentModel))
instrument_device_id, _ = self.RR.create(any_old(RT.InstrumentDevice))
platform_agent_instance_id, _ = self.RR.create(any_old(RT.PlatformAgentInstance))
platform_agent_id, _ = self.RR.create(any_old(RT.PlatformAgent))
platform_device_id, _ = self.RR.create(any_old(RT.PlatformDevice))
platform_model_id, _ = self.RR.create(any_old(RT.PlatformModel))
sensor_device_id, _ = self.RR.create(any_old(RT.SensorDevice))
sensor_model_id, _ = self.RR.create(any_old(RT.SensorModel))
#stuff we associate to
data_producer_id, _ = self.RR.create(any_old(RT.DataProducer))
org_id, _ = self.RR.create(any_old(RT.Org))
#instrument_agent_instance_id #is only a target
#instrument_agent
self.RR.create_association(instrument_agent_id, PRED.hasModel, instrument_model_id)
self.RR.create_association(instrument_agent_instance_id, PRED.hasAgentDefinition, instrument_agent_id)
#instrument_device
self.RR.create_association(instrument_device_id, PRED.hasModel, instrument_model_id)
self.RR.create_association(instrument_device_id, PRED.hasAgentInstance, instrument_agent_instance_id)
self.RR.create_association(instrument_device_id, PRED.hasDataProducer, data_producer_id)
self.RR.create_association(instrument_device_id, PRED.hasDevice, sensor_device_id)
self.RR.create_association(org_id, PRED.hasResource, instrument_device_id)
instrument_model_id #is only a target
platform_agent_instance_id #is only a target
#platform_agent
self.RR.create_association(platform_agent_id, PRED.hasModel, platform_model_id)
self.RR.create_association(platform_agent_instance_id, PRED.hasAgentDefinition, platform_agent_id)
#platform_device
self.RR.create_association(platform_device_id, PRED.hasModel, platform_model_id)
self.RR.create_association(platform_device_id, PRED.hasAgentInstance, platform_agent_instance_id)
self.RR.create_association(platform_device_id, PRED.hasDevice, instrument_device_id)
platform_model_id #is only a target
#sensor_device
self.RR.create_association(sensor_device_id, PRED.hasModel, sensor_model_id)
self.RR.create_association(sensor_device_id, PRED.hasDevice, instrument_device_id)
sensor_model_id #is only a target
#create a parsed product for this instrument output
tdom, sdom = time_series_domain()
tdom = tdom.dump()
sdom = sdom.dump()
dp_obj = IonObject(RT.DataProduct,
name='the parsed data',
description='ctd stream test',
processing_level_code='Parsed_Canonical',
temporal_domain = tdom,
spatial_domain = sdom)
pdict_id = self.DSC.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
parsed_stream_def_id = self.PSC.create_stream_definition(name='parsed', parameter_dictionary_id=pdict_id)
data_product_id1 = self.DP.create_data_product(data_product=dp_obj, stream_definition_id=parsed_stream_def_id)
log.debug( 'new dp_id = %s', data_product_id1)
self.DAMS.assign_data_product(input_resource_id=instrument_device_id, data_product_id=data_product_id1)
def addInstOwner(inst_id, subject):
actor_identity_obj = any_old(RT.ActorIdentity, {"name": subject})
user_id = self.IDS.create_actor_identity(actor_identity_obj)
user_info_obj = any_old(RT.UserInfo)
user_info_id = self.IDS.create_user_info(user_id, user_info_obj)
self.RR.create_association(inst_id, PRED.hasOwner, user_id)
#Testing multiple instrument owners
addInstOwner(instrument_device_id, "/DC=org/DC=cilogon/C=US/O=ProtectNetwork/CN=Roger Unwin A254")
addInstOwner(instrument_device_id, "/DC=org/DC=cilogon/C=US/O=ProtectNetwork/CN=Bob Cumbers A256")
extended_instrument = self.IMS.get_instrument_device_extension(instrument_device_id)
self.assertEqual(instrument_device_id, extended_instrument._id)
self.assertEqual(len(extended_instrument.owners), 2)
self.assertEqual(extended_instrument.instrument_model._id, instrument_model_id)
# 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)
log.debug("extended_instrument.computed: %s", extended_instrument.computed)
#check model
inst_model_obj = self.RR.read(instrument_model_id)
self.assertEqual(inst_model_obj.name, extended_instrument.instrument_model.name)
#check agent instance
inst_agent_instance_obj = self.RR.read(instrument_agent_instance_id)
self.assertEqual(inst_agent_instance_obj.name, extended_instrument.agent_instance.name)
#check agent
inst_agent_obj = self.RR.read(instrument_agent_id)
#compound assoc return list of lists so check the first element
self.assertEqual(inst_agent_obj.name, extended_instrument.instrument_agent[0].name)
#check platform device
plat_device_obj = self.RR.read(platform_device_id)
self.assertEqual(plat_device_obj.name, extended_instrument.platform_device.name)
extended_platform = self.IMS.get_platform_device_extension(platform_device_id)
self.assertEqual(1, len(extended_platform.instrument_devices))
self.assertEqual(instrument_device_id, extended_platform.instrument_devices[0]._id)
self.assertEqual(1, len(extended_platform.instrument_models))
self.assertEqual(instrument_model_id, extended_platform.instrument_models[0]._id)
#check sensor devices
self.assertEqual(1, len(extended_instrument.sensor_devices))
#check data_product_parameters_set
self.assertEqual(ComputedValueAvailability.PROVIDED,
extended_instrument.computed.data_product_parameters_set.status)
self.assertTrue( 'Parsed_Canonical' in extended_instrument.computed.data_product_parameters_set.value)
# the ctd parameters should include 'temp'
self.assertTrue( 'temp' in extended_instrument.computed.data_product_parameters_set.value['Parsed_Canonical'])
#none of these will work because there is no agent
self.assertEqual(ComputedValueAvailability.NOTAVAILABLE,
extended_instrument.computed.firmware_version.status)
# self.assertEqual(ComputedValueAvailability.NOTAVAILABLE,
# extended_instrument.computed.operational_state.status)
# self.assertEqual(ComputedValueAvailability.PROVIDED,
# extended_instrument.computed.power_status_roll_up.status)
# self.assertEqual(ComputedValueAvailability.PROVIDED,
# extended_instrument.computed.communications_status_roll_up.status)
# self.assertEqual(ComputedValueAvailability.PROVIDED,
# extended_instrument.computed.data_status_roll_up.status)
# self.assertEqual(StatusType.STATUS_OK,
# extended_instrument.computed.data_status_roll_up.value)
# self.assertEqual(ComputedValueAvailability.PROVIDED,
# extended_instrument.computed.location_status_roll_up.status)
# self.assertEqual(ComputedValueAvailability.PROVIDED,
# extended_instrument.computed.recent_events.status)
# self.assertEqual([], extended_instrument.computed.recent_events.value)
# cleanup
c = DotDict()
c.resource_registry = self.RR
self.RR2.pluck(instrument_agent_id)
self.RR2.pluck(instrument_model_id)
self.RR2.pluck(instrument_device_id)
self.RR2.pluck(platform_agent_id)
self.IMS.force_delete_instrument_agent(instrument_agent_id)
self.IMS.force_delete_instrument_model(instrument_model_id)
self.IMS.force_delete_instrument_device(instrument_device_id)
self.IMS.force_delete_platform_agent_instance(platform_agent_instance_id)
self.IMS.force_delete_platform_agent(platform_agent_id)
self.IMS.force_delete_platform_device(platform_device_id)
self.IMS.force_delete_platform_model(platform_model_id)
self.IMS.force_delete_sensor_device(sensor_device_id)
self.IMS.force_delete_sensor_model(sensor_model_id)
#stuff we associate to
self.RR.delete(data_producer_id)
self.RR.delete(org_id)
def test_custom_attributes(self):
"""
Test assignment of custom attributes
"""
instrument_model_id, _ = self.RR.create(any_old(RT.InstrumentModel,
{"custom_attributes":
{"favorite_color": "attr desc goes here"}
}))
instrument_device_id, _ = self.RR.create(any_old(RT.InstrumentDevice,
{"custom_attributes":
{"favorite_color": "red",
"bogus_attr": "should raise warning"
}
}))
self.IMS.assign_instrument_model_to_instrument_device(instrument_model_id, instrument_device_id)
# cleanup
self.IMS.force_delete_instrument_device(instrument_device_id)
self.IMS.force_delete_instrument_model(instrument_model_id)
def _get_datastore(self, dataset_id):
dataset = self.DSC.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_resource_state_save_restore(self):
# Create InstrumentModel
instModel_obj = IonObject(RT.InstrumentModel,
name='SBE37IMModel',
description="SBE37IMModel")
instModel_id = self.IMS.create_instrument_model(instModel_obj)
log.debug( 'new InstrumentModel id = %s ', instModel_id)
# Create InstrumentAgent
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 )
instAgent_obj = IonObject(RT.InstrumentAgent,
name='agent007',
description="SBE37IMAgent",
driver_uri="http://sddevrepo.oceanobservatories.org/releases/seabird_sbe37smb_ooicore-0.0.1-py2.7.egg",
stream_configurations = [raw_config, parsed_config] )
instAgent_id = self.IMS.create_instrument_agent(instAgent_obj)
log.debug( 'new InstrumentAgent id = %s', instAgent_id)
self.IMS.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.IMS.create_instrument_device(instrument_device=instDevice_obj)
self.IMS.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.IMS.create_instrument_agent_instance(instAgentInstance_obj,
instAgent_id,
instDevice_id)
tdom, sdom = time_series_domain()
sdom = sdom.dump()
tdom = tdom.dump()
spdict_id = self.DSC.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
parsed_stream_def_id = self.PSC.create_stream_definition(name='parsed', parameter_dictionary_id=spdict_id)
rpdict_id = self.DSC.read_parameter_dictionary_by_name('ctd_raw_param_dict', id_only=True)
raw_stream_def_id = self.PSC.create_stream_definition(name='raw', parameter_dictionary_id=rpdict_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.DP.create_data_product(data_product=dp_obj,
stream_definition_id=parsed_stream_def_id)
log.debug( 'new dp_id = %s', data_product_id1)
self.DAMS.assign_data_product(input_resource_id=instDevice_id, data_product_id=data_product_id1)
self.DP.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.RR.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.RR.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]
#create the datastore at the beginning of each int test that persists data
dp_obj = IonObject(RT.DataProduct,
name='the raw data',
description='raw stream test',
temporal_domain = tdom,
spatial_domain = sdom)
data_product_id2 = self.DP.create_data_product(data_product=dp_obj,
stream_definition_id=raw_stream_def_id)
log.debug( 'new dp_id = %s', str(data_product_id2))
self.DAMS.assign_data_product(input_resource_id=instDevice_id, data_product_id=data_product_id2)
self.DP.activate_data_product_persistence(data_product_id=data_product_id2)
# spin up agent
self.IMS.start_instrument_agent_instance(instrument_agent_instance_id=instAgentInstance_id)
self.addCleanup(self.IMS.stop_instrument_agent_instance,
instrument_agent_instance_id=instAgentInstance_id)
#wait for start
instance_obj = self.IMS.read_instrument_agent_instance(instAgentInstance_id)
gate = ProcessStateGate(self.PDC.read_process,
instance_obj.agent_process_id,
ProcessStateEnum.RUNNING)
self.assertTrue(gate.await(30), "The instrument agent instance (%s) did not spawn in 30 seconds" %
instance_obj.agent_process_id)
# take snapshot of config
snap_id = self.IMS.save_resource_state(instDevice_id, "xyzzy snapshot")
snap_obj = self.RR.read_attachment(snap_id, include_content=True)
print "Saved config:"
print snap_obj.content
#modify config
instance_obj.driver_config["comms_config"] = "BAD_DATA"
self.RR.update(instance_obj)
#restore config
self.IMS.restore_resource_state(instDevice_id, snap_id)
instance_obj = self.RR.read(instAgentInstance_id)
self.assertNotEqual("BAD_DATA", instance_obj.driver_config["comms_config"])
self.DP.delete_data_product(data_product_id1)
self.DP.delete_data_product(data_product_id2)
def test_agent_instance_config(self):
"""
Verify that agent configurations are being built properly
"""
clients = DotDict()
clients.resource_registry = self.RR
clients.pubsub_management = self.PSC
clients.dataset_management = self.DSC
pconfig_builder = PlatformAgentConfigurationBuilder(clients)
iconfig_builder = InstrumentAgentConfigurationBuilder(clients)
tdom, sdom = time_series_domain()
sdom = sdom.dump()
tdom = tdom.dump()
org_id = self.RR2.create(any_old(RT.Org))
inst_startup_config = {'startup': 'config'}
required_config_keys = [
'org_name',
'device_type',
'agent',
'driver_config',
'stream_config',
'startup_config',
'alarm_defs',
'children']
def verify_instrument_config(config, device_id):
for key in required_config_keys:
self.assertIn(key, config)
self.assertEqual('Org_1', config['org_name'])
self.assertEqual(RT.InstrumentDevice, config['device_type'])
self.assertIn('driver_config', config)
driver_config = config['driver_config']
expected_driver_fields = {'process_type': ('ZMQPyClassDriverLauncher',),
}
for k, v in expected_driver_fields.iteritems():
self.assertIn(k, driver_config)
self.assertEqual(v, driver_config[k])
self.assertEqual
self.assertEqual({'resource_id': device_id}, config['agent'])
self.assertEqual(inst_startup_config, config['startup_config'])
self.assertIn('stream_config', config)
for key in ['alarm_defs', 'children']:
self.assertEqual({}, config[key])
def verify_child_config(config, device_id, inst_device_id=None):
for key in required_config_keys:
self.assertIn(key, config)
self.assertEqual('Org_1', config['org_name'])
self.assertEqual(RT.PlatformDevice, config['device_type'])
self.assertEqual({'process_type': ('ZMQPyClassDriverLauncher',)}, config['driver_config'])
self.assertEqual({'resource_id': device_id}, config['agent'])
self.assertIn('stream_config', config)
if None is inst_device_id:
for key in ['alarm_defs', 'children', 'startup_config']:
self.assertEqual({}, config[key])
else:
for key in ['alarm_defs', 'startup_config']:
self.assertEqual({}, config[key])
self.assertIn(inst_device_id, config['children'])
verify_instrument_config(config['children'][inst_device_id], inst_device_id)
def verify_parent_config(config, parent_device_id, child_device_id, inst_device_id=None):
for key in required_config_keys:
self.assertIn(key, config)
self.assertEqual('Org_1', config['org_name'])
self.assertEqual(RT.PlatformDevice, config['device_type'])
self.assertEqual({'process_type': ('ZMQPyClassDriverLauncher',)}, config['driver_config'])
self.assertEqual({'resource_id': parent_device_id}, config['agent'])
self.assertIn('stream_config', config)
for key in ['alarm_defs', 'startup_config']:
self.assertEqual({}, config[key])
self.assertIn(child_device_id, config['children'])
verify_child_config(config['children'][child_device_id], child_device_id, inst_device_id)
rpdict_id = self.DSC.read_parameter_dictionary_by_name('ctd_raw_param_dict', id_only=True)
raw_stream_def_id = self.PSC.create_stream_definition(name='raw', parameter_dictionary_id=rpdict_id)
#todo: create org and figure out which agent resource needs to get assigned to it
def _make_platform_agent_structure(agent_config=None):
if None is agent_config: agent_config = {}
# instance creation
platform_agent_instance_obj = any_old(RT.PlatformAgentInstance)
platform_agent_instance_obj.agent_config = agent_config
platform_agent_instance_id = self.IMS.create_platform_agent_instance(platform_agent_instance_obj)
# agent creation
raw_config = StreamConfiguration(stream_name='raw', parameter_dictionary_name='ctd_raw_param_dict', records_per_granule=2, granule_publish_rate=5 )
platform_agent_obj = any_old(RT.PlatformAgent, {"stream_configurations":[raw_config]})
platform_agent_id = self.IMS.create_platform_agent(platform_agent_obj)
# device creation
platform_device_id = self.IMS.create_platform_device(any_old(RT.PlatformDevice))
# data product creation
dp_obj = any_old(RT.DataProduct, {"temporal_domain":tdom, "spatial_domain": sdom})
dp_id = self.DP.create_data_product(data_product=dp_obj, stream_definition_id=raw_stream_def_id)
self.DAMS.assign_data_product(input_resource_id=platform_device_id, data_product_id=dp_id)
self.DP.activate_data_product_persistence(data_product_id=dp_id)
# assignments
self.RR2.assign_platform_agent_instance_to_platform_device(platform_agent_instance_id, platform_device_id)
self.RR2.assign_platform_agent_to_platform_agent_instance(platform_agent_id, platform_agent_instance_id)
self.RR2.assign_platform_device_to_org_with_has_resource(platform_agent_instance_id, org_id)
return platform_agent_instance_id, platform_agent_id, platform_device_id
def _make_instrument_agent_structure(agent_config=None):
if None is agent_config: agent_config = {}
# instance creation
instrument_agent_instance_obj = any_old(RT.InstrumentAgentInstance, {"startup_config": inst_startup_config})
instrument_agent_instance_obj.agent_config = agent_config
instrument_agent_instance_id = self.IMS.create_instrument_agent_instance(instrument_agent_instance_obj)
# agent creation
raw_config = StreamConfiguration(stream_name='raw', parameter_dictionary_name='ctd_raw_param_dict', records_per_granule=2, granule_publish_rate=5 )
instrument_agent_obj = any_old(RT.InstrumentAgent, {"stream_configurations":[raw_config]})
instrument_agent_id = self.IMS.create_instrument_agent(instrument_agent_obj)
# device creation
instrument_device_id = self.IMS.create_instrument_device(any_old(RT.InstrumentDevice))
# data product creation
dp_obj = any_old(RT.DataProduct, {"temporal_domain":tdom, "spatial_domain": sdom})
dp_id = self.DP.create_data_product(data_product=dp_obj, stream_definition_id=raw_stream_def_id)
self.DAMS.assign_data_product(input_resource_id=instrument_device_id, data_product_id=dp_id)
self.DP.activate_data_product_persistence(data_product_id=dp_id)
# assignments
self.RR2.assign_instrument_agent_instance_to_instrument_device(instrument_agent_instance_id, instrument_device_id)
self.RR2.assign_instrument_agent_to_instrument_agent_instance(instrument_agent_id, instrument_agent_instance_id)
self.RR2.assign_instrument_device_to_org_with_has_resource(instrument_agent_instance_id, org_id)
return instrument_agent_instance_id, instrument_agent_id, instrument_device_id
# can't do anything without an agent instance obj
log.debug("Testing that preparing a launcher without agent instance raises an error")
self.assertRaises(AssertionError, pconfig_builder.prepare, will_launch=False)
log.debug("Making the structure for a platform agent, which will be the child")
platform_agent_instance_child_id, _, platform_device_child_id = _make_platform_agent_structure()
platform_agent_instance_child_obj = self.RR2.read(platform_agent_instance_child_id)
log.debug("Preparing a valid agent instance launch, for config only")
pconfig_builder.set_agent_instance_object(platform_agent_instance_child_obj)
child_config = pconfig_builder.prepare(will_launch=False)
verify_child_config(child_config, platform_device_child_id)
log.debug("Making the structure for a platform agent, which will be the parent")
platform_agent_instance_parent_id, _, platform_device_parent_id = _make_platform_agent_structure()
platform_agent_instance_parent_obj = self.RR2.read(platform_agent_instance_parent_id)
log.debug("Testing child-less parent as a child config")
pconfig_builder.set_agent_instance_object(platform_agent_instance_parent_obj)
parent_config = pconfig_builder.prepare(will_launch=False)
verify_child_config(parent_config, platform_device_parent_id)
log.debug("assigning child platform to parent")
self.RR2.assign_platform_device_to_platform_device(platform_device_child_id, platform_device_parent_id)
child_device_ids = self.RR2.find_platform_device_ids_of_device(platform_device_parent_id)
self.assertNotEqual(0, len(child_device_ids))
log.debug("Testing parent + child as parent config")
pconfig_builder.set_agent_instance_object(platform_agent_instance_parent_obj)
parent_config = pconfig_builder.prepare(will_launch=False)
verify_parent_config(parent_config, platform_device_parent_id, platform_device_child_id)
log.debug("making the structure for an instrument agent")
instrument_agent_instance_id, _, instrument_device_id = _make_instrument_agent_structure()
instrument_agent_instance_obj = self.RR2.read(instrument_agent_instance_id)
log.debug("Testing instrument config")
iconfig_builder.set_agent_instance_object(instrument_agent_instance_obj)
instrument_config = iconfig_builder.prepare(will_launch=False)
verify_instrument_config(instrument_config, instrument_device_id)
log.debug("assigning instrument to platform")
self.RR2.assign_instrument_device_to_platform_device(instrument_device_id, platform_device_child_id)
child_device_ids = self.RR2.find_instrument_device_ids_of_device(platform_device_child_id)
self.assertNotEqual(0, len(child_device_ids))
log.debug("Testing entire config")
pconfig_builder.set_agent_instance_object(platform_agent_instance_parent_obj)
full_config = pconfig_builder.prepare(will_launch=False)
verify_parent_config(full_config, platform_device_parent_id, platform_device_child_id, instrument_device_id)
#self.fail(parent_config)
#plauncher.prepare(will_launch=False)
def sample_nested_platform_agent_instance_config(self):
"""
for informational purposes
"""
ret = {'org_name': 'Org_1',
'alarm_defs': {},
'driver_config': {'process_type': ('ZMQPyClassDriverLauncher',)},
'stream_config': {'parameter_dictionary': 'lots of stuff'},
'agent': {'resource_id': '33e54106c4444444862da082098bc123'},
'startup_config': {},
'device_type': 'PlatformDevice',
'children': {'76a39596eeff4fd5b409c4cb93f0e581':
{'org_name': 'Org_1',
'alarm_defs': {},
'driver_config': {'process_type': ('ZMQPyClassDriverLauncher',)},
'stream_config': {'parameter_dictionary': 'lots of stuff'},
'agent': {'resource_id': '76a39596eeff4fd5b409c4cb93f0e581'},
'startup_config': {},
'device_type': 'PlatformDevice',
'children': {}}}}
return ret
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)
def test_createTransformsThenActivateInstrument(self):
# Set up the preconditions
# ingestion configuration parameters
self.exchange_point_id = 'science_data'
self.number_of_workers = 2
self.hdf_storage = HdfStorage(relative_path='ingest')
self.couch_storage = CouchStorage(datastore_name='test_datastore')
self.XP = 'science_data'
self.exchange_name = 'ingestion_queue'
#-------------------------------
# Create InstrumentModel
#-------------------------------
instModel_obj = IonObject(RT.InstrumentModel,
name='SBE37IMModel',
description="SBE37IMModel",
model_label="SBE37IMModel")
try:
instModel_id = self.imsclient.create_instrument_model(
instModel_obj)
except BadRequest as ex:
self.fail("failed to create new InstrumentModel: %s" % ex)
print 'test_createTransformsThenActivateInstrument: new InstrumentModel id = ', 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)
print 'test_createTransformsThenActivateInstrument: new InstrumentAgent id = ', instAgent_id
self.imsclient.assign_instrument_model_to_instrument_agent(
instModel_id, instAgent_id)
#-------------------------------
# Create InstrumentDevice
#-------------------------------
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)
print 'test_createTransformsThenActivateInstrument: new InstrumentDevice id = ', instDevice_id
#-------------------------------
# Create InstrumentAgentInstance to hold configuration information
#-------------------------------
# driver_config = {
# 'svr_addr': "localhost",
# 'cmd_port': 5556,
# 'evt_port': 5557,
# 'dvr_mod': "ion.agents.instrument.drivers.sbe37.sbe37_driver",
# 'dvr_cls': "SBE37Driver",
# 'comms_config': {
# 'addr': 'sbe37-simulator.oceanobservatories.org',
# 'port': 4001,
# }
# }
driver_config = {
'dvr_mod': 'ion.agents.instrument.drivers.sbe37.sbe37_driver',
'dvr_cls': 'SBE37Driver',
'workdir': '/tmp/',
}
instAgentInstance_obj = IonObject(
RT.InstrumentAgentInstance,
name='SBE37IMAgentInstance',
description="SBE37IMAgentInstance",
driver_config=driver_config,
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 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 = ', instDevice_id
print 'Creating new CDM data product with a stream definition'
dp_obj = IonObject(RT.DataProduct,
name='ctd_parsed',
description='ctd stream test')
try:
ctd_parsed_data_product = self.dataproductclient.create_data_product(
dp_obj, ctd_stream_def_id)
except BadRequest as ex:
self.fail("failed to create new data product: %s" % ex)
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,
persist_data=True,
persist_metadata=True)
# 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
#-------------------------------
# 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')
try:
ctd_raw_data_product = self.dataproductclient.create_data_product(
dp_obj, raw_stream_def_id)
except BadRequest as ex:
self.fail("failed to create new data product: %s" % ex)
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,
persist_data=True,
persist_metadata=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
#-------------------------------
# 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')
ctd_l0_conductivity_output_dp_id = self.dataproductclient.create_data_product(
ctd_l0_conductivity_output_dp_obj,
outgoing_stream_l0_conductivity_id)
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,
persist_data=True,
persist_metadata=True)
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')
ctd_l0_pressure_output_dp_id = self.dataproductclient.create_data_product(
ctd_l0_pressure_output_dp_obj, outgoing_stream_l0_pressure_id)
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,
persist_data=True,
persist_metadata=True)
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')
ctd_l0_temperature_output_dp_id = self.dataproductclient.create_data_product(
ctd_l0_temperature_output_dp_obj,
outgoing_stream_l0_temperature_id)
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,
persist_data=True,
persist_metadata=True)
#-------------------------------
# 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')
ctd_l1_conductivity_output_dp_id = self.dataproductclient.create_data_product(
ctd_l1_conductivity_output_dp_obj,
outgoing_stream_l1_conductivity_id)
self.dataproductclient.activate_data_product_persistence(
data_product_id=ctd_l1_conductivity_output_dp_id,
persist_data=True,
persist_metadata=True)
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')
ctd_l1_pressure_output_dp_id = self.dataproductclient.create_data_product(
ctd_l1_pressure_output_dp_obj, outgoing_stream_l1_pressure_id)
self.dataproductclient.activate_data_product_persistence(
data_product_id=ctd_l1_pressure_output_dp_id,
persist_data=True,
persist_metadata=True)
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')
ctd_l1_temperature_output_dp_id = self.dataproductclient.create_data_product(
ctd_l1_temperature_output_dp_obj,
outgoing_stream_l1_temperature_id)
self.dataproductclient.activate_data_product_persistence(
data_product_id=ctd_l1_temperature_output_dp_id,
persist_data=True,
persist_metadata=True)
#-------------------------------
# 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')
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=ctd_l2_salinity_output_dp_id,
persist_data=True,
persist_metadata=True)
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')
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=ctd_l2_density_output_dp_id,
persist_data=True,
persist_metadata=True)
#-------------------------------
# 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)
print retval
log.debug(
"test_createTransformsThenActivateInstrument:: initialize %s",
str(retval))
time.sleep(1)
cmd = AgentCommand(command='go_active')
reply = self._ia_client.execute_agent(cmd)
log.debug("test_createTransformsThenActivateInstrument:: go_active %s",
str(reply))
time.sleep(1)
cmd = AgentCommand(command='run')
reply = self._ia_client.execute_agent(cmd)
log.debug("test_createTransformsThenActivateInstrument:: run %s",
str(reply))
time.sleep(1)
# 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)
self._no_samples = 2
# Begin streaming.
cmd = AgentCommand(command='go_streaming')
reply = self._ia_client.execute_agent(cmd)
log.debug(
"test_createTransformsThenActivateInstrument:: go_streaming %s",
str(reply))
cmd = AgentCommand(command='get_current_state')
retval = self._ia_client.execute_agent(cmd)
time.sleep(15)
log.debug("test_activateInstrument: calling go_observatory")
cmd = AgentCommand(command='go_observatory')
reply = self._ia_client.execute(cmd)
log.debug("test_activateInstrument: return from go_observatory %s",
str(reply))
cmd = AgentCommand(command='get_current_state')
retval = self._ia_client.execute_agent(cmd)
time.sleep(2)
log.debug(
"test_createTransformsThenActivateInstrument:: calling reset ")
cmd = AgentCommand(command='reset')
reply = self._ia_client.execute_agent(cmd)
log.debug(
"test_createTransformsThenActivateInstrument:: return from reset %s",
str(reply))
time.sleep(2)
#-------------------------------
# Sampling
#-------------------------------
# cmd = AgentCommand(command='initialize')
# retval = self._ia_client.execute_agent(cmd)
# print retval
# log.debug("test_createTransformsThenActivateInstrument:: initialize %s", str(retval))
# time.sleep(2)
#
# cmd = AgentCommand(command='go_active')
# reply = self._ia_client.execute_agent(cmd)
# log.debug("test_activateInstrument: go_active %s", str(reply))
# time.sleep(2)
#
# cmd = AgentCommand(command='run')
# reply = self._ia_client.execute_agent(cmd)
# log.debug("test_activateInstrument: run %s", str(reply))
# time.sleep(2)
#
# log.debug("test_activateInstrument: calling acquire_sample ")
# cmd = AgentCommand(command='acquire_sample')
# reply = self._ia_client.execute(cmd)
# log.debug("test_activateInstrument: return from acquire_sample %s", str(reply))
# time.sleep(2)
#
# log.debug("test_activateInstrument: calling acquire_sample 2")
# cmd = AgentCommand(command='acquire_sample')
# reply = self._ia_client.execute(cmd)
# log.debug("test_activateInstrument: return from acquire_sample 2 %s", str(reply))
# time.sleep(2)
#
# log.debug("test_activateInstrument: calling acquire_sample 3")
# cmd = AgentCommand(command='acquire_sample')
# reply = self._ia_client.execute(cmd)
# log.debug("test_activateInstrument: return from acquire_sample 3 %s", str(reply))
# time.sleep(2)
#
# log.debug("test_activateInstrument: calling go_inactive ")
# cmd = AgentCommand(command='go_inactive')
# reply = self._ia_client.execute_agent(cmd)
# log.debug("test_activateInstrument: return from go_inactive %s", str(reply))
# time.sleep(2)
#
# log.debug("test_activateInstrument: calling reset ")
# cmd = AgentCommand(command='reset')
# reply = self._ia_client.execute_agent(cmd)
# log.debug("test_activateInstrument: return from reset %s", str(reply))
# time.sleep(2)
#
#
# self.imsclient.stop_instrument_agent_instance(instrument_agent_instance_id=instAgentInstance_id)
#
#
# #get the dataset id of the ctd_parsed product from the dataproduct ctd_parsed_data_product
# ctd_parsed_data_product_obj = self.dataproductclient.read_data_product(ctd_parsed_data_product)
# log.debug("test_createTransformsThenActivateInstrument:: ctd_parsed_data_product dataset id %s", str(ctd_parsed_data_product_obj.dataset_id))
#
# # ask for the dataset bounds from the datasetmgmtsvc
# bounds = self.datasetclient.get_dataset_bounds(ctd_parsed_data_product_obj.dataset_id)
# log.debug("test_createTransformsThenActivateInstrument:: ctd_parsed_data_product dataset bounds %s", str(bounds))
# print 'activate_instrument: got dataset bounds %s', str(bounds)
#-------------------------------
# Deactivate InstrumentAgentInstance
#-------------------------------
self.imsclient.stop_instrument_agent_instance(
instrument_agent_instance_id=instAgentInstance_id)
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 TestCTDPChain(IonIntegrationTestCase):
def setUp(self):
super(TestCTDPChain, self).setUp()
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
self.pubsub = PubsubManagementServiceClient()
self.process_dispatcher = ProcessDispatcherServiceClient()
self.dataset_management = DatasetManagementServiceClient()
self.data_process_management = DataProcessManagementServiceClient()
self.dataproduct_management = DataProductManagementServiceClient()
self.resource_registry = ResourceRegistryServiceClient()
# This is for the time values inside the packets going into the transform
self.i = 0
self.cnt = 0
# Cleanup of queue created by the subscriber
self.queue_cleanup = []
self.data_process_cleanup = []
def _get_new_ctd_L0_packet(self, stream_definition_id, length):
rdt = RecordDictionaryTool(stream_definition_id=stream_definition_id)
rdt['time'] = numpy.arange(self.i, self.i+length)
for field in rdt:
if isinstance(rdt._pdict.get_context(field).param_type, QuantityType):
rdt[field] = numpy.array([random.uniform(0.0,75.0) for i in xrange(length)])
g = rdt.to_granule()
self.i+=length
return g
def clean_queues(self):
for queue in self.queue_cleanup:
xn = self.container.ex_manager.create_xn_queue(queue)
xn.delete()
def cleaning_operations(self):
for dproc_id in self.data_process_cleanup:
self.data_process_management.delete_data_process(dproc_id)
def test_ctdp_chain(self):
"""
Test that packets are processed by a chain of CTDP transforms: L0, L1 and L2
"""
#-------------------------------------------------------------------------------------
# Prepare the stream def to be used for transform chain
#-------------------------------------------------------------------------------------
#todo Check whether the right parameter dictionary is being used
self._prepare_stream_def_for_transform_chain()
#-------------------------------------------------------------------------------------
# Prepare the data proc defs and in and out data products for the transforms
#-------------------------------------------------------------------------------------
# list_args_L0 = [data_proc_def_id, input_dpod_id, output_dpod_id]
list_args_L0 = self._prepare_things_you_need_to_launch_transform(name_of_transform='L0')
list_args_L1 = self._prepare_things_you_need_to_launch_transform(name_of_transform='L1')
list_args_L2_density = self._prepare_things_you_need_to_launch_transform(name_of_transform='L2_density')
list_args_L2_salinity = self._prepare_things_you_need_to_launch_transform(name_of_transform='L2_salinity')
log.debug("Got the following args: L0 = %s, L1 = %s, L2 density = %s, L2 salinity = %s", list_args_L0, list_args_L1, list_args_L2_density, list_args_L2_salinity )
#-------------------------------------------------------------------------------------
# Launch the CTDP transforms
#-------------------------------------------------------------------------------------
L0_data_proc_id = self._launch_transform('L0', *list_args_L0)
L1_data_proc_id = self._launch_transform('L1', *list_args_L1)
L2_density_data_proc_id = self._launch_transform('L2_density', *list_args_L2_density)
L2_salinity_data_proc_id = self._launch_transform('L2_salinity', *list_args_L2_salinity)
log.debug("Launched the transforms: L0 = %s, L1 = %s", L0_data_proc_id, L1_data_proc_id)
#-------------------------------------------------------------------------
# Start a subscriber listening to the output of each of the transforms
#-------------------------------------------------------------------------
ar_L0 = self.start_subscriber_listening_to_L0_transform(out_data_prod_id=list_args_L0[2])
ar_L1 = self.start_subscriber_listening_to_L1_transform(out_data_prod_id=list_args_L1[2])
ar_L2_density = self.start_subscriber_listening_to_L2_density_transform(out_data_prod_id=list_args_L2_density[2])
ar_L2_salinity = self.start_subscriber_listening_to_L2_density_transform(out_data_prod_id=list_args_L2_salinity[2])
#-------------------------------------------------------------------
# Publish the parsed packets that the L0 transform is listening for
#-------------------------------------------------------------------
stream_id, stream_route = self.get_stream_and_route_for_data_prod(data_prod_id= list_args_L0[1])
self._publish_for_L0_transform(stream_id, stream_route)
#-------------------------------------------------------------------
# Check the granules being outputted by the transforms
#-------------------------------------------------------------------
self._check_granule_from_L0_transform(ar_L0)
self._check_granule_from_L1_transform(ar_L1)
self._check_granule_from_L2_density_transform(ar_L2_density)
self._check_granule_from_L2_salinity_transform(ar_L2_salinity)
def _prepare_stream_def_for_transform_chain(self):
# Get the stream definition for the stream using the parameter dictionary
# pdict_id = self.dataset_management.read_parameter_dictionary_by_name(parameter_dict_name, id_only=True)
pdict_id = self._create_input_param_dict_for_test(parameter_dict_name = 'input_param_for_L0')
self.in_stream_def_id_for_L0 = self.pubsub.create_stream_definition(name='stream_def_for_L0', parameter_dictionary_id=pdict_id)
self.addCleanup(self.pubsub.delete_stream_definition, self.in_stream_def_id_for_L0)
pdict_id = self._create_input_param_dict_for_test(parameter_dict_name = 'params_for_other_transforms')
self.stream_def_id = self.pubsub.create_stream_definition(name='stream_def_for_CTDBP_transforms', parameter_dictionary_id=pdict_id)
self.addCleanup(self.pubsub.delete_stream_definition, self.stream_def_id)
log.debug("Got the parsed parameter dictionary: id: %s", pdict_id)
log.debug("Got the stream def for parsed input to L0: %s", self.in_stream_def_id_for_L0)
log.debug("Got the stream def for other other streams: %s", self.stream_def_id)
def _prepare_things_you_need_to_launch_transform(self, name_of_transform = ''):
module, class_name = self._get_class_module(name_of_transform)
#-------------------------------------------------------------------------
# Data Process Definition
#-------------------------------------------------------------------------
dpd_obj = IonObject(RT.DataProcessDefinition,
name= 'CTDBP_%s_Transform' % name_of_transform,
description= 'Data Process Definition for the CTDBP %s transform.' % name_of_transform,
module= module,
class_name=class_name)
data_proc_def_id = self.data_process_management.create_data_process_definition(dpd_obj)
self.addCleanup(self.data_process_management.delete_data_process_definition, data_proc_def_id)
log.debug("created data process definition: id = %s", data_proc_def_id)
#-------------------------------------------------------------------------
# Construct temporal and spatial Coordinate Reference System objects for the data product objects
#-------------------------------------------------------------------------
tdom, sdom = time_series_domain()
sdom = sdom.dump()
tdom = tdom.dump()
#-------------------------------------------------------------------------
# Get the names of the input and output data products
#-------------------------------------------------------------------------
input_dpod_id = ''
output_dpod_id = ''
if name_of_transform == 'L0':
input_dpod_id = self._create_input_data_product('parsed', tdom, sdom)
output_dpod_id = self._create_output_data_product('L0', tdom, sdom)
self.in_prod_for_L1 = output_dpod_id
elif name_of_transform == 'L1':
input_dpod_id = self.in_prod_for_L1
output_dpod_id = self._create_output_data_product('L1', tdom, sdom)
self.in_prod_for_L2 = output_dpod_id
elif name_of_transform == 'L2_density':
input_dpod_id = self.in_prod_for_L2
output_dpod_id = self._create_output_data_product('L2_density', tdom, sdom)
elif name_of_transform == 'L2_salinity':
input_dpod_id = self.in_prod_for_L2
output_dpod_id = self._create_output_data_product('L2_salinity', tdom, sdom)
else:
self.fail("something bad happened")
return [data_proc_def_id, input_dpod_id, output_dpod_id]
def _get_class_module(self, name_of_transform):
options = {'L0' : self._class_module_L0,
'L1' : self._class_module_L1,
'L2_density' : self._class_module_L2_density,
'L2_salinity' : self._class_module_L2_salinity}
return options[name_of_transform]()
def _class_module_L0(self):
module = 'ion.processes.data.transforms.ctdbp.ctdbp_L0'
class_name = 'CTDBP_L0_all'
return module, class_name
def _class_module_L1(self):
module = 'ion.processes.data.transforms.ctdbp.ctdbp_L1'
class_name = 'CTDBP_L1_Transform'
return module, class_name
def _class_module_L2_density(self):
module = 'ion.processes.data.transforms.ctdbp.ctdbp_L2_density'
class_name = 'CTDBP_DensityTransform'
return module, class_name
def _class_module_L2_salinity(self):
module = 'ion.processes.data.transforms.ctdbp.ctdbp_L2_salinity'
class_name = 'CTDBP_SalinityTransform'
return module, class_name
def _create_input_data_product(self, name_of_transform = '', tdom = None, sdom = None):
dpod_obj = IonObject(RT.DataProduct,
name='dprod_%s' % name_of_transform,
description='for_%s' % name_of_transform,
temporal_domain = tdom,
spatial_domain = sdom)
log.debug("the stream def id: %s", self.stream_def_id)
if name_of_transform == 'L0':
stream_def_id = self.in_stream_def_id_for_L0
else:
stream_def_id = self.stream_def_id
dpod_id = self.dataproduct_management.create_data_product(data_product=dpod_obj,
stream_definition_id= stream_def_id
)
self.addCleanup(self.dataproduct_management.delete_data_product, dpod_id)
log.debug("got the data product out. id: %s", dpod_id)
return dpod_id
def _create_output_data_product(self, name_of_transform = '', tdom = None, sdom = None):
dpod_obj = IonObject(RT.DataProduct,
name='dprod_%s' % name_of_transform,
description='for_%s' % name_of_transform,
temporal_domain = tdom,
spatial_domain = sdom)
if name_of_transform == 'L0':
stream_def_id = self.in_stream_def_id_for_L0
else:
stream_def_id = self.stream_def_id
dpod_id = self.dataproduct_management.create_data_product(data_product=dpod_obj,
stream_definition_id=stream_def_id
)
self.addCleanup(self.dataproduct_management.delete_data_product, dpod_id)
return dpod_id
def _launch_transform(self, name_of_transform = '', data_proc_def_id = None, input_dpod_id = None, output_dpod_id = None):
# We need the key name here to be "L2_stream", since when the data process is launched, this name goes into
# the config as in config.process.publish_streams.L2_stream when the config is used to launch the data process
if name_of_transform in ['L0', 'L1']:
binding = '%s_stream' % name_of_transform
elif name_of_transform == 'L2_salinity':
binding = 'salinity'
elif name_of_transform == 'L2_density':
binding = 'density'
config = None
if name_of_transform == 'L1':
config = self._create_calibration_coefficients_dict()
elif name_of_transform == 'L2_density':
config = DotDict()
config.process = {'lat' : 32.7153, 'lon' : 117.1564}
log.debug("launching transform for name: %s",name_of_transform )
log.debug("launching transform for data_proc_def_id: %s\ninput_dpod_id: %s\noutput_dpod_id: %s", data_proc_def_id, input_dpod_id, output_dpod_id )
data_proc_id = self.data_process_management.create_data_process(
data_process_definition_id = data_proc_def_id,
in_data_product_ids= [input_dpod_id],
out_data_product_ids = [output_dpod_id],
configuration = config)
self.addCleanup(self.data_process_management.delete_data_process, data_proc_id)
self.data_process_management.activate_data_process(data_proc_id)
self.addCleanup(self.data_process_management.deactivate_data_process, data_proc_id)
log.debug("Created a data process for ctdbp %s transform: id = %s", name_of_transform, data_proc_id)
return data_proc_id
def get_stream_and_route_for_data_prod(self, data_prod_id = ''):
stream_ids, _ = self.resource_registry.find_objects(data_prod_id, PRED.hasStream, RT.Stream, True)
stream_id = stream_ids[0]
input_stream = self.resource_registry.read(stream_id)
stream_route = input_stream.stream_route
return stream_id, stream_route
def start_subscriber_listening_to_L0_transform(self, out_data_prod_id = ''):
#----------- Create subscribers to listen to the two transforms --------------------------------
stream_ids, _ = self.resource_registry.find_objects(out_data_prod_id, PRED.hasStream, RT.Stream, True)
output_stream_id_of_transform = stream_ids[0]
ar_L0 = self._start_subscriber_to_transform( name_of_transform = 'L0',stream_id=output_stream_id_of_transform)
return ar_L0
def start_subscriber_listening_to_L1_transform(self, out_data_prod_id = ''):
#----------- Create subscribers to listen to the two transforms --------------------------------
stream_ids, _ = self.resource_registry.find_objects(out_data_prod_id, PRED.hasStream, RT.Stream, True)
output_stream_id_of_transform = stream_ids[0]
ar_L1 = self._start_subscriber_to_transform( name_of_transform = 'L1',stream_id=output_stream_id_of_transform)
return ar_L1
def start_subscriber_listening_to_L2_density_transform(self, out_data_prod_id = ''):
#----------- Create subscribers to listen to the two transforms --------------------------------
stream_ids, _ = self.resource_registry.find_objects(out_data_prod_id, PRED.hasStream, RT.Stream, True)
output_stream_id_of_transform = stream_ids[0]
ar_L2_density = self._start_subscriber_to_transform( name_of_transform = 'L2_density', stream_id=output_stream_id_of_transform)
return ar_L2_density
def start_subscriber_listening_to_L2_salinity_transform(self, out_data_prod_id = ''):
#----------- Create subscribers to listen to the two transforms --------------------------------
stream_ids, _ = self.resource_registry.find_objects(out_data_prod_id, PRED.hasStream, RT.Stream, True)
output_stream_id_of_transform = stream_ids[0]
ar_L2_density = self._start_subscriber_to_transform( name_of_transform = 'L2_salinity',stream_id=output_stream_id_of_transform)
return ar_L2_density
def _start_subscriber_to_transform(self, name_of_transform = '', stream_id = ''):
ar = gevent.event.AsyncResult()
def subscriber(m,r,s):
ar.set(m)
sub = StandaloneStreamSubscriber(exchange_name='sub_%s' % name_of_transform, callback=subscriber)
# Note that this running the below line creates an exchange since none of that name exists before
sub_id = self.pubsub.create_subscription('subscriber_to_transform_%s' % name_of_transform,
stream_ids=[stream_id],
exchange_name='sub_%s' % name_of_transform)
self.addCleanup(self.pubsub.delete_subscription, sub_id)
self.pubsub.activate_subscription(sub_id)
self.addCleanup(self.pubsub.deactivate_subscription, sub_id)
sub.start()
self.addCleanup(sub.stop)
return ar
def _check_granule_from_L0_transform(self, ar = None):
granule_from_transform = ar.get(timeout=20)
log.debug("Got the following granule from the L0 transform: %s", granule_from_transform)
# Check the algorithm being applied
self._check_application_of_L0_algorithm(granule_from_transform)
def _check_granule_from_L1_transform(self, ar = None):
granule_from_transform = ar.get(timeout=20)
log.debug("Got the following granule from the L1 transform: %s", granule_from_transform)
# Check the algorithm being applied
self._check_application_of_L1_algorithm(granule_from_transform)
def _check_granule_from_L2_density_transform(self, ar = None):
granule_from_transform = ar.get(timeout=20)
log.debug("Got the following granule from the L2 transform: %s", granule_from_transform)
# Check the algorithm being applied
self._check_application_of_L2_density_algorithm(granule_from_transform)
def _check_granule_from_L2_salinity_transform(self, ar = None):
granule_from_transform = ar.get(timeout=20)
log.debug("Got the following granule from the L2 transform: %s", granule_from_transform)
# Check the algorithm being applied
self._check_application_of_L2_salinity_algorithm(granule_from_transform)
def _check_application_of_L0_algorithm(self, granule = None):
""" Check the algorithm applied by the L0 transform """
rdt = RecordDictionaryTool.load_from_granule(granule)
list_of_expected_keys = ['time', 'pressure', 'conductivity', 'temperature']
for key in list_of_expected_keys:
self.assertIn(key, rdt)
def _check_application_of_L1_algorithm(self, granule = None):
""" Check the algorithm applied by the L1 transform """
rdt = RecordDictionaryTool.load_from_granule(granule)
list_of_expected_keys = [ 'time', 'pressure', 'conductivity', 'temp']
for key in list_of_expected_keys:
self.assertIn(key, rdt)
def _check_application_of_L2_density_algorithm(self, granule = None):
""" Check the algorithm applied by the L2 transform """
rdt = RecordDictionaryTool.load_from_granule(granule)
list_of_expected_keys = ['time', 'density']
for key in list_of_expected_keys:
self.assertIn(key, rdt)
def _check_application_of_L2_salinity_algorithm(self, granule = None):
""" Check the algorithm applied by the L2 transform """
rdt = RecordDictionaryTool.load_from_granule(granule)
list_of_expected_keys = ['time', 'salinity']
for key in list_of_expected_keys:
self.assertIn(key, rdt)
def _publish_for_L0_transform(self, input_stream_id = None, stream_route = None):
#----------- Publish on that stream so that the transform can receive it --------------------------------
self._publish_to_transform(input_stream_id, stream_route )
def _publish_to_transform(self, stream_id = '', stream_route = None):
pub = StandaloneStreamPublisher(stream_id, stream_route)
publish_granule = self._get_new_ctd_L0_packet(stream_definition_id=self.in_stream_def_id_for_L0, length = 5)
pub.publish(publish_granule)
log.debug("Published the following granule: %s", publish_granule)
def _create_input_param_dict_for_test(self, parameter_dict_name = ''):
pdict = ParameterDictionary()
t_ctxt = ParameterContext('time', param_type=QuantityType(value_encoding=numpy.dtype('float64')))
t_ctxt.axis = AxisTypeEnum.TIME
t_ctxt.uom = 'seconds since 01-01-1900'
pdict.add_context(t_ctxt)
cond_ctxt = ParameterContext('conductivity', param_type=QuantityType(value_encoding=numpy.dtype('float32')))
cond_ctxt.uom = 'Siemens_per_meter'
pdict.add_context(cond_ctxt)
pres_ctxt = ParameterContext('pressure', param_type=QuantityType(value_encoding=numpy.dtype('float32')))
pres_ctxt.uom = 'Pascal'
pdict.add_context(pres_ctxt)
if parameter_dict_name == 'input_param_for_L0':
temp_ctxt = ParameterContext('temperature', param_type=QuantityType(value_encoding=numpy.dtype('float32')))
else:
temp_ctxt = ParameterContext('temp', param_type=QuantityType(value_encoding=numpy.dtype('float32')))
temp_ctxt.uom = 'degree_kelvin'
pdict.add_context(temp_ctxt)
dens_ctxt = ParameterContext('density', param_type=QuantityType(value_encoding=numpy.dtype('float32')))
dens_ctxt.uom = 'g/m'
pdict.add_context(dens_ctxt)
sal_ctxt = ParameterContext('salinity', param_type=QuantityType(value_encoding=numpy.dtype('float32')))
sal_ctxt.uom = 'PSU'
pdict.add_context(sal_ctxt)
#create temp streamdef so the data product can create the stream
pc_list = []
for pc_k, pc in pdict.iteritems():
ctxt_id = self.dataset_management.create_parameter_context(pc_k, pc[1].dump())
pc_list.append(ctxt_id)
if parameter_dict_name == 'input_param_for_L0':
self.addCleanup(self.dataset_management.delete_parameter_context,ctxt_id)
elif pc[1].name == 'temp':
self.addCleanup(self.dataset_management.delete_parameter_context,ctxt_id)
pdict_id = self.dataset_management.create_parameter_dictionary(parameter_dict_name, pc_list)
self.addCleanup(self.dataset_management.delete_parameter_dictionary, pdict_id)
return pdict_id
def _create_calibration_coefficients_dict(self):
config = DotDict()
config.process.calibration_coeffs = {
'temp_calibration_coeffs': {
'TA0' : 1.561342e-03,
'TA1' : 2.561486e-04,
'TA2' : 1.896537e-07,
'TA3' : 1.301189e-07,
'TOFFSET' : 0.000000e+00
},
'cond_calibration_coeffs': {
'G' : -9.896568e-01,
'H' : 1.316599e-01,
'I' : -2.213854e-04,
'J' : 3.292199e-05,
'CPCOR' : -9.570000e-08,
'CTCOR' : 3.250000e-06,
'CSLOPE' : 1.000000e+00
},
'pres_calibration_coeffs' : {
'PA0' : 4.960417e-02,
'PA1' : 4.883682e-04,
'PA2' : -5.687309e-12,
'PTCA0' : 5.249802e+05,
'PTCA1' : 7.595719e+00,
'PTCA2' : -1.322776e-01,
'PTCB0' : 2.503125e+01,
'PTCB1' : 5.000000e-05,
'PTCB2' : 0.000000e+00,
'PTEMPA0' : -6.431504e+01,
'PTEMPA1' : 5.168177e+01,
'PTEMPA2' : -2.847757e-01,
'POFFSET' : 0.000000e+00
}
}
return config
class ExternalObservatoryAgent(ResourceAgent):
_data_handler = None
_stream_publisher = None
def __init__(self, *args, **kwargs):
ResourceAgent.__init__(self, *args, **kwargs)
def _on_init(self):
ResourceAgent._on_init(self)
# log.debug(">>funcs:\n%s" % dir(self))
# log.debug(">>type:\n%s" % type(self))
# log.debug(">>CFG:\n%s" % self.CFG)
# log.debug(">>_proc_type:\n%s" % self._proc_type)
ext_dataset_id = self.CFG.get('process',
{}).get('eoa', {}).get('dataset_id', '')
log.debug(">>ds_id:\n\t%s" % ext_dataset_id)
self.resreg_cli = ResourceRegistryServiceClient()
self.pubsub_cli = PubsubManagementServiceClient()
# retrieve all the ExternalDataset resource associated resources
ext_ds_res = self.resreg_cli.read(object_id=ext_dataset_id)
log.debug("Retrieved ExternalDataset: %s" % ext_ds_res)
dsrc_res, dsrc_acc = self.resreg_cli.find_objects(
subject=ext_dataset_id,
predicate=PRED.hasSource,
object_type=RT.DataSource)
dsrc_res = dsrc_res[0]
dsrc_id = dsrc_acc[0].o
log.debug("Found associated DataSource: %s" % dsrc_id)
edp_res, edp_acc = self.resreg_cli.find_objects(
subject=dsrc_id,
predicate=PRED.hasProvider,
object_type=RT.ExternalDataProvider)
edp_res = edp_res[0]
edp_id = edp_acc[0].o
log.debug("Found associated ExternalDataProvider: %s" % edp_id)
mdl_res, mdl_acc = self.resreg_cli.find_objects(
subject=dsrc_id,
predicate=PRED.hasModel,
object_type=RT.DataSourceModel)
mdl_res = mdl_res[0]
mdl_id = mdl_acc[0].o
log.debug("Found associated DataSourceModel: %s" % mdl_id)
dprod_id, _ = self.resreg_cli.find_objects(
subject=ext_dataset_id,
predicate=PRED.hasOutputProduct,
object_type=RT.DataProduct,
id_only=True)
dprod_id = dprod_id[0]
log.debug("Found associated DataProduct: %s" % dprod_id)
stream_id, _ = self.resreg_cli.find_objects(subject=dprod_id,
predicate=PRED.hasStream,
object_type=RT.Stream,
id_only=True)
log.debug(">>>>> stream_id: %s" % stream_id)
stream_id = stream_id[0]
log.debug("Found associated Stream: %s" % stream_id)
# configure the stream publisher
log.debug("Configure StreamPublisher")
stream_route = self.pubsub_cli.read_stream(stream_id=stream_id)
log.debug("StreamRoute: %s" % stream_route)
self._stream_publisher = StreamPublisher(stream_route)
# instantiate the data_handler instance
modpath = mdl_res.data_handler_module
log.debug("ExternalDataHandler module: %s" % modpath)
classname = mdl_res.data_handler_class
log.debug("ExternalDataHandler class: %s" % classname)
module = __import__(modpath, fromlist=[classname])
classobj = getattr(module, classname)
self._data_handler = classobj(data_provider=edp_res,
data_source=dsrc_res,
ext_dataset=ext_ds_res)
assert isinstance(
self._data_handler, BaseExternalDataHandler
), "Instantiated service not a BaseExternalDataHandler %r" % self._data_handler
def _on_quit(self):
self._data_handler.close()
ResourceAgent._on_quit(self)
###### Resource Commands ######
def rcmd_get_status(self, *args, **kwargs):
return self._data_handler.get_status(*args, **kwargs)
def rcmd_has_new_data(self, *args, **kwargs):
return self._data_handler.has_new_data(*args, **kwargs)
def rcmd_acquire_data(self, *args, **kwargs):
data_iter = self._data_handler.acquire_data(*args, **kwargs)
vlist = []
for count, ivals in enumerate(data_iter):
vn, slice_, rng, data = ivals
if vn not in vlist:
vlist.append(vn)
#TODO: Put the packets on the stream
# self._stream_publisher.publish()
return {'Number of Iterations': count, 'Var Names': vlist}
def rcmd_acquire_new_data(self, *args, **kwargs):
data_iter = self._data_handler.acquire_new_data(*args, **kwargs)
vlist = []
for count, ivals in enumerate(data_iter):
vn, slice_, rng, data = ivals
if vn not in vlist:
vlist.append(vn)
#TODO: Put the packets on the stream
# self._stream_publisher.publish()
return {'Number of Iterations': count, 'Var Names': vlist}
def rcmd_acquire_data_by_request(self, *args, **kwargs):
return self._data_handler.acquire_data_by_request(*args, **kwargs)
def rcmd_get_attributes(self, *args, **kwargs):
return self._data_handler.get_attributes(*args, **kwargs)
def rcmd_get_fingerprint(self, *args, **kwargs):
return self._data_handler.get_fingerprint(*args, **kwargs)
def rcmd_compare(self, *args, **kwargs):
return self._data_handler.compare(*args, **kwargs)
def rcmd_close(self, *args, **kwargs):
return self._data_handler.close(*args, **kwargs)
class TestIMSDeployAsPrimaryDevice(IonIntegrationTestCase):
def setUp(self):
# Start container
self._start_container()
#self.container.start_rel_from_url('res/deploy/r2deploy.yml')
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.omsclient = ObservatoryManagementServiceClient(
node=self.container.node)
self.processdispatchclient = ProcessDispatcherServiceClient(
node=self.container.node)
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 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 cleanupprocs(self):
stm = os.popen('ps -e | grep ion.agents.port.logger_process')
procs = stm.read()
if len(procs) > 0:
procs = procs.split()
if procs[0].isdigit():
pid = int(procs[0])
os.kill(pid, signal.SIGKILL)
stm = os.popen('ps -e | grep ion.agents.instrument.zmq_driver_process')
procs = stm.read()
if len(procs) > 0:
procs = procs.split()
if procs[0].isdigit():
pid = int(procs[0])
os.kill(pid, signal.SIGKILL)
# stm = os.popen('rm /tmp/*.pid.txt')
@unittest.skip(
"Deprecated by IngestionManagement refactor, timeout on start inst agent?"
)
def test_deploy_activate_full(self):
# ensure no processes or pids are left around by agents or Sims
#self.cleanupprocs()
self.loggerpids = []
#-------------------------------
# Create InstrumentModel
#-------------------------------
instModel_obj = IonObject(RT.InstrumentModel,
name='SBE37IMModel',
description="SBE37IMModel")
try:
instModel_id = self.imsclient.create_instrument_model(
instModel_obj)
except BadRequest as ex:
self.fail("failed to create new InstrumentModel: %s" % ex)
#-------------------------------
# Create InstrumentAgent
#-------------------------------
instAgent_obj = IonObject(RT.InstrumentAgent,
name='agent007',
description="SBE37IMAgent",
driver_uri=DRV_URI_GOOD)
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 Instrument Site
#-------------------------------
instrumentSite_obj = IonObject(RT.InstrumentSite,
name='instrumentSite1',
description="SBE37IMInstrumentSite")
try:
instrumentSite_id = self.omsclient.create_instrument_site(
instrument_site=instrumentSite_obj, parent_id='')
except BadRequest as ex:
self.fail("failed to create new InstrumentSite: %s" % ex)
print 'test_deployAsPrimaryDevice: new instrumentSite id = ', instrumentSite_id
self.omsclient.assign_instrument_model_to_instrument_site(
instModel_id, instrumentSite_id)
#-------------------------------
# Logical Transform: Output Data Products
#-------------------------------
# Construct temporal and spatial Coordinate Reference System objects
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.pubsubclient.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.pubsubclient.create_stream_definition(
name='raw', parameter_dictionary_id=raw_pdict_id)
#-------------------------------
# Create Old InstrumentDevice
#-------------------------------
instDevice_obj = IonObject(
RT.InstrumentDevice,
name='SBE37IMDeviceYear1',
description="SBE37IMDevice for the FIRST year of deployment",
serial_number="12345")
try:
oldInstDevice_id = self.imsclient.create_instrument_device(
instrument_device=instDevice_obj)
self.imsclient.assign_instrument_model_to_instrument_device(
instModel_id, oldInstDevice_id)
except BadRequest as ex:
self.fail("failed to create new InstrumentDevice: %s" % ex)
print 'test_deployAsPrimaryDevice: new Year 1 InstrumentDevice id = ', oldInstDevice_id
self.rrclient.execute_lifecycle_transition(oldInstDevice_id,
LCE.DEPLOY)
self.rrclient.execute_lifecycle_transition(oldInstDevice_id,
LCE.ENABLE)
#-------------------------------
# Create Raw and Parsed Data Products for the device
#-------------------------------
dp_obj = IonObject(RT.DataProduct,
name='SiteDataProduct',
description='SiteDataProduct',
temporal_domain=tdom,
spatial_domain=sdom)
instrument_site_output_dp_id = self.dataproductclient.create_data_product(
data_product=dp_obj, stream_definition_id=parsed_stream_def_id)
self.damsclient.assign_data_product(
input_resource_id=oldInstDevice_id,
data_product_id=instrument_site_output_dp_id)
#self.dataproductclient.activate_data_product_persistence(data_product_id=instrument_site_output_dp_id)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(
instrument_site_output_dp_id, 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(
instrument_site_output_dp_id, 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)
#-------------------------------
# Create Old Deployment
#-------------------------------
deployment_obj = IonObject(RT.Deployment, name='first deployment')
oldDeployment_id = self.omsclient.create_deployment(deployment_obj)
# deploy this device to the logical slot
self.imsclient.deploy_instrument_device(oldInstDevice_id,
oldDeployment_id)
self.omsclient.deploy_instrument_site(instrumentSite_id,
oldDeployment_id)
#-------------------------------
# Create InstrumentAgentInstance for OldInstrumentDevice to hold configuration information
# cmd_port=5556, evt_port=5557, comms_method="ethernet", comms_device_address=CFG.device.sbe37.host, comms_device_port=CFG.device.sbe37.port,
#-------------------------------
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
}
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')
instAgentInstance_obj = IonObject(
RT.InstrumentAgentInstance,
name='SBE37IMAgentInstanceYear1',
description="SBE37IMAgentInstanceYear1",
port_agent_config=port_agent_config,
stream_configurations=[raw_config, parsed_config])
oldInstAgentInstance_id = self.imsclient.create_instrument_agent_instance(
instAgentInstance_obj, instAgent_id, oldInstDevice_id)
tdom, sdom = time_series_domain()
sdom = sdom.dump()
tdom = tdom.dump()
#-------------------------------
# Create CTD Parsed as the Year 1 data product and attach to instrument
#-------------------------------
print 'Creating new CDM data product with a stream definition'
dp_obj = IonObject(RT.DataProduct,
name='ctd_parsed_year1',
description='ctd stream test year 1',
temporal_domain=tdom,
spatial_domain=sdom)
ctd_parsed_data_product_year1 = self.dataproductclient.create_data_product(
data_product=dp_obj, stream_definition_id=parsed_stream_def_id)
print 'new ctd_parsed_data_product_id = ', ctd_parsed_data_product_year1
self.damsclient.assign_data_product(
input_resource_id=oldInstDevice_id,
data_product_id=ctd_parsed_data_product_year1)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(
ctd_parsed_data_product_year1, PRED.hasStream, None, True)
print 'test_deployAsPrimaryDevice: Data product streams1 = ', stream_ids
#-------------------------------
# Create New InstrumentDevice
#-------------------------------
instDevice_obj_2 = IonObject(
RT.InstrumentDevice,
name='SBE37IMDeviceYear2',
description="SBE37IMDevice for the SECOND year of deployment",
serial_number="67890")
try:
newInstDevice_id = self.imsclient.create_instrument_device(
instrument_device=instDevice_obj_2)
self.imsclient.assign_instrument_model_to_instrument_device(
instModel_id, newInstDevice_id)
except BadRequest as ex:
self.fail("failed to create new InstrumentDevice: %s" % ex)
print 'test_deployAsPrimaryDevice: new Year 2 InstrumentDevice id = ', newInstDevice_id
#set the LCSTATE
self.rrclient.execute_lifecycle_transition(newInstDevice_id,
LCE.DEPLOY)
self.rrclient.execute_lifecycle_transition(newInstDevice_id,
LCE.ENABLE)
instDevice_obj_2 = self.rrclient.read(newInstDevice_id)
log.debug(
"test_deployAsPrimaryDevice: Create New InstrumentDevice LCSTATE: %s ",
str(instDevice_obj_2.lcstate))
#-------------------------------
# Create Old Deployment
#-------------------------------
deployment_obj = IonObject(RT.Deployment, name='second deployment')
newDeployment_id = self.omsclient.create_deployment(deployment_obj)
# deploy this device to the logical slot
self.imsclient.deploy_instrument_device(newInstDevice_id,
newDeployment_id)
self.omsclient.deploy_instrument_site(instrumentSite_id,
newDeployment_id)
#-------------------------------
# Create InstrumentAgentInstance for NewInstrumentDevice to hold configuration information
#-------------------------------
port_agent_config = {
'device_addr': 'sbe37-simulator.oceanobservatories.org',
'device_port': 4004,
'process_type': PortAgentProcessType.UNIX,
'binary_path': "port_agent",
'port_agent_addr': 'localhost',
'command_port': 4005,
'data_port': 4006,
'log_level': 5,
'type': PortAgentType.ETHERNET
}
instAgentInstance_obj = IonObject(
RT.InstrumentAgentInstance,
name='SBE37IMAgentInstanceYear2',
description="SBE37IMAgentInstanceYear2",
port_agent_config=port_agent_config)
newInstAgentInstance_id = self.imsclient.create_instrument_agent_instance(
instAgentInstance_obj, instAgent_id, newInstDevice_id)
#-------------------------------
# Create CTD Parsed as the Year 2 data product
#-------------------------------
dp_obj = IonObject(RT.DataProduct,
name='ctd_parsed_year2',
description='ctd stream test year 2',
temporal_domain=tdom,
spatial_domain=sdom)
ctd_parsed_data_product_year2 = self.dataproductclient.create_data_product(
data_product=dp_obj, stream_definition_id=parsed_stream_def_id)
print 'new ctd_parsed_data_product_id = ', ctd_parsed_data_product_year2
self.damsclient.assign_data_product(
input_resource_id=newInstDevice_id,
data_product_id=ctd_parsed_data_product_year2)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(
ctd_parsed_data_product_year2, PRED.hasStream, None, True)
print 'test_deployAsPrimaryDevice: Data product streams2 = ', stream_ids
#-------------------------------
# L0 Conductivity - Temperature - Pressure: Data Process Definition
#-------------------------------
log.debug(
"test_deployAsPrimaryDevice: 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')
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_id = self.pubsubclient.create_stream_definition(
name='L0_Conductivity', parameter_dictionary_id=parsed_pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
outgoing_stream_l0_conductivity_id,
ctd_L0_all_dprocdef_id,
binding='conductivity')
outgoing_stream_l0_pressure_id = self.pubsubclient.create_stream_definition(
name='L0_Pressure', parameter_dictionary_id=parsed_pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
outgoing_stream_l0_pressure_id,
ctd_L0_all_dprocdef_id,
binding='pressure')
outgoing_stream_l0_temperature_id = self.pubsubclient.create_stream_definition(
name='L0_Temperature', parameter_dictionary_id=parsed_pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
outgoing_stream_l0_temperature_id,
ctd_L0_all_dprocdef_id,
binding='temperature')
self.out_prod_dict = {}
log.debug(
"test_deployAsPrimaryDevice: 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(
data_product=ctd_l0_conductivity_output_dp_obj,
stream_definition_id=parsed_stream_def_id)
self.out_prod_dict['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_deployAsPrimaryDevice: 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(
data_product=ctd_l0_pressure_output_dp_obj,
stream_definition_id=parsed_stream_def_id)
self.out_prod_dict['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_deployAsPrimaryDevice: 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(
data_product=ctd_l0_temperature_output_dp_obj,
stream_definition_id=parsed_stream_def_id)
self.out_prod_dict['temperature'] = ctd_l0_temperature_output_dp_id
#self.dataproductclient.activate_data_product_persistence(data_product_id=ctd_l0_temperature_output_dp_id)
#-------------------------------
# L0 Conductivity - Temperature - Pressure: Create the data process, listening to Sim1 (later: logical instrument output product)
#-------------------------------
log.debug(
"test_deployAsPrimaryDevice: create L0 all data_process start")
try:
out_data_products = self.out_prod_dict.values()
ctd_l0_all_data_process_id = self.dataprocessclient.create_data_process(
ctd_L0_all_dprocdef_id, [ctd_parsed_data_product_year1],
out_data_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_deployAsPrimaryDevice: create L0 all data_process return")
#--------------------------------
# Activate the deployment
#--------------------------------
self.omsclient.activate_deployment(oldDeployment_id)
#-------------------------------
# Launch InstrumentAgentInstance Sim1, connect to the resource agent client
#-------------------------------
self.imsclient.start_instrument_agent_instance(
instrument_agent_instance_id=oldInstAgentInstance_id)
self.addCleanup(self.imsclient.stop_instrument_agent_instance,
instrument_agent_instance_id=oldInstAgentInstance_id)
#wait for start
instance_obj = self.imsclient.read_instrument_agent_instance(
oldInstAgentInstance_id)
gate = AgentProcessStateGate(self.processdispatchclient.read_process,
oldInstDevice_id,
ProcessStateEnum.RUNNING)
self.assertTrue(
gate. await (30),
"The instrument agent instance (%s) did not spawn in 30 seconds" %
gate.process_id)
inst_agent1_instance_obj = self.imsclient.read_instrument_agent_instance(
oldInstAgentInstance_id)
print 'test_deployAsPrimaryDevice: Instrument agent instance obj: = ', inst_agent1_instance_obj
# Start a resource agent client to talk with the instrument agent.
self._ia_client_sim1 = ResourceAgentClient('iaclient Sim1',
name=gate.process_id,
process=FakeProcess())
print 'activate_instrument: got _ia_client_sim1 %s', self._ia_client_sim1
log.debug(" test_deployAsPrimaryDevice:: got _ia_client_sim1 %s",
str(self._ia_client_sim1))
#-------------------------------
# Launch InstrumentAgentInstance Sim2, connect to the resource agent client
#-------------------------------
self.imsclient.start_instrument_agent_instance(
instrument_agent_instance_id=newInstAgentInstance_id)
self.addCleanup(self.imsclient.stop_instrument_agent_instance,
instrument_agent_instance_id=newInstAgentInstance_id)
#wait for start
instance_obj = self.imsclient.read_instrument_agent_instance(
newInstAgentInstance_id)
gate = AgentProcessStateGate(self.processdispatchclient.read_process,
oldInstDevice_id,
ProcessStateEnum.RUNNING)
self.assertTrue(
gate. await (30),
"The instrument agent instance (%s) did not spawn in 30 seconds" %
gate.process_id)
inst_agent2_instance_obj = self.imsclient.read_instrument_agent_instance(
newInstAgentInstance_id)
print 'test_deployAsPrimaryDevice: Instrument agent instance obj: = ', inst_agent2_instance_obj
# Start a resource agent client to talk with the instrument agent.
self._ia_client_sim2 = ResourceAgentClient('iaclient Sim2',
name=gate.process_id,
process=FakeProcess())
print 'activate_instrument: got _ia_client_sim2 %s', self._ia_client_sim2
log.debug(" test_deployAsPrimaryDevice:: got _ia_client_sim2 %s",
str(self._ia_client_sim2))
#-------------------------------
# Streaming Sim1 (old instrument)
#-------------------------------
cmd = AgentCommand(command=ResourceAgentEvent.INITIALIZE)
retval = self._ia_client_sim1.execute_agent(cmd)
log.debug("test_deployAsPrimaryDevice: initialize %s", str(retval))
log.debug("(L4-CI-SA-RQ-334): Sending go_active command ")
cmd = AgentCommand(command=ResourceAgentEvent.GO_ACTIVE)
reply = self._ia_client_sim1.execute_agent(cmd)
log.debug("test_deployAsPrimaryDevice: return value from go_active %s",
str(reply))
self.assertTrue(reply)
cmd = AgentCommand(command=ResourceAgentEvent.GET_RESOURCE_STATE)
retval = self._ia_client_sim1.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_sim1.execute_agent(cmd)
log.debug("test_deployAsPrimaryDevice: run %s", str(reply))
gevent.sleep(2)
cmd = AgentCommand(command=SBE37ProtocolEvent.START_AUTOSAMPLE)
retval = self._ia_client_sim1.execute_resource(cmd)
log.debug(
"test_activateInstrumentSample: return from START_AUTOSAMPLE: %s",
str(retval))
#-------------------------------
# Streaming Sim 2 (new instrument)
#-------------------------------
cmd = AgentCommand(command=ResourceAgentEvent.INITIALIZE)
retval = self._ia_client_sim2.execute_agent(cmd)
log.debug("test_deployAsPrimaryDevice: initialize_sim2 %s",
str(retval))
log.debug("(L4-CI-SA-RQ-334): Sending go_active command ")
cmd = AgentCommand(command=ResourceAgentEvent.GO_ACTIVE)
reply = self._ia_client_sim2.execute_agent(cmd)
log.debug(
"test_deployAsPrimaryDevice: return value from go_active_sim2 %s",
str(reply))
cmd = AgentCommand(command=ResourceAgentEvent.GET_RESOURCE_STATE)
retval = self._ia_client_sim2.execute_agent(cmd)
state = retval.result
log.debug(
"(L4-CI-SA-RQ-334): current state after sending go_active_sim2 command %s",
str(state))
cmd = AgentCommand(command=ResourceAgentEvent.RUN)
reply = self._ia_client_sim2.execute_agent(cmd)
log.debug("test_deployAsPrimaryDevice: run %s", str(reply))
gevent.sleep(2)
cmd = AgentCommand(command=SBE37ProtocolEvent.START_AUTOSAMPLE)
retval = self._ia_client_sim2.execute_resource(cmd)
log.debug(
"test_activateInstrumentSample: return from START_AUTOSAMPLE_sim2: %s",
str(retval))
gevent.sleep(10)
#-------------------------------
# Shutdown Sim1 (old instrument)
#-------------------------------
cmd = AgentCommand(command=SBE37ProtocolEvent.STOP_AUTOSAMPLE)
retval = self._ia_client_sim1.execute_resource(cmd)
log.debug(
"test_activateInstrumentSample: return from STOP_AUTOSAMPLE: %s",
str(retval))
log.debug("test_activateInstrumentSample: calling reset ")
cmd = AgentCommand(command=ResourceAgentEvent.RESET)
reply = self._ia_client_sim1.execute_agent(cmd)
log.debug("test_activateInstrumentSample: return from reset %s",
str(reply))
time.sleep(5)
#-------------------------------
# Shutdown Sim2 (old instrument)
#-------------------------------
cmd = AgentCommand(command=SBE37ProtocolEvent.STOP_AUTOSAMPLE)
retval = self._ia_client_sim2.execute_resource(cmd)
log.debug(
"test_activateInstrumentSample: return from STOP_AUTOSAMPLE_sim2: %s",
str(retval))
log.debug("test_activateInstrumentSample: calling reset_sim2 ")
cmd = AgentCommand(command=ResourceAgentEvent.RESET)
reply = self._ia_client_sim1.execute_agent(cmd)
log.debug("test_activateInstrumentSample: return from reset_sim2 %s",
str(reply))
time.sleep(5)
class TestDMEnd2End(IonIntegrationTestCase):
def setUp(self): # Love the non pep-8 convention
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
self.process_dispatcher = ProcessDispatcherServiceClient()
self.pubsub_management = PubsubManagementServiceClient()
self.resource_registry = ResourceRegistryServiceClient()
self.dataset_management = DatasetManagementServiceClient()
self.ingestion_management = IngestionManagementServiceClient()
self.data_retriever = DataRetrieverServiceClient()
self.event = Event()
self.exchange_space_name = 'test_granules'
self.exchange_point_name = 'science_data'
self.i = 0
self.cci = 0
#--------------------------------------------------------------------------------
# Helper/Utility methods
#--------------------------------------------------------------------------------
def create_dataset(self, parameter_dict_id=''):
'''
Creates a time-series dataset
'''
if not parameter_dict_id:
parameter_dict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
dataset = Dataset('test_dataset_%i'%self.i)
dataset_id = self.dataset_management.create_dataset(dataset, parameter_dictionary_id=parameter_dict_id)
self.addCleanup(self.dataset_management.delete_dataset, dataset_id)
return dataset_id
def get_datastore(self, dataset_id):
'''
Gets an instance of the datastore
This method is primarily used to defeat a bug where integration tests in multiple containers may sometimes
delete a CouchDB datastore and the other containers are unaware of the new state of the datastore.
'''
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 get_ingestion_config(self):
'''
Grab the ingestion configuration from the resource registry
'''
# The ingestion configuration should have been created by the bootstrap service
# which is configured through r2deploy.yml
ingest_configs, _ = self.resource_registry.find_resources(restype=RT.IngestionConfiguration,id_only=True)
return ingest_configs[0]
def launch_producer(self, stream_id=''):
'''
Launch the producer
'''
pid = self.container.spawn_process('better_data_producer', 'ion.processes.data.example_data_producer', 'BetterDataProducer', {'process':{'stream_id':stream_id}})
self.addCleanup(self.container.terminate_process, pid)
def make_simple_dataset(self):
'''
Makes a stream, a stream definition and a dataset, the essentials for most of these tests
'''
pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
stream_def_id = self.pubsub_management.create_stream_definition('ctd data %i' % self.i, parameter_dictionary_id=pdict_id)
self.addCleanup(self.pubsub_management.delete_stream_definition, stream_def_id)
stream_id, route = self.pubsub_management.create_stream('ctd stream %i' % self.i, 'xp1', stream_definition_id=stream_def_id)
self.addCleanup(self.pubsub_management.delete_stream, stream_id)
dataset_id = self.create_dataset(pdict_id)
# self.get_datastore(dataset_id)
self.i += 1
return stream_id, route, stream_def_id, dataset_id
def publish_hifi(self,stream_id,stream_route,offset=0):
'''
Publish deterministic data
'''
pub = StandaloneStreamPublisher(stream_id, stream_route)
stream_def = self.pubsub_management.read_stream_definition(stream_id=stream_id)
stream_def_id = stream_def._id
rdt = RecordDictionaryTool(stream_definition_id=stream_def_id)
rdt['time'] = np.arange(10) + (offset * 10)
rdt['temp'] = np.arange(10) + (offset * 10)
pub.publish(rdt.to_granule())
def publish_fake_data(self,stream_id, route):
'''
Make four granules
'''
for i in xrange(4):
self.publish_hifi(stream_id,route,i)
def start_ingestion(self, stream_id, dataset_id):
'''
Starts ingestion/persistence for a given dataset
'''
ingest_config_id = self.get_ingestion_config()
self.ingestion_management.persist_data_stream(stream_id=stream_id, ingestion_configuration_id=ingest_config_id, dataset_id=dataset_id)
def stop_ingestion(self, stream_id):
ingest_config_id = self.get_ingestion_config()
self.ingestion_management.unpersist_data_stream(stream_id=stream_id, ingestion_configuration_id=ingest_config_id)
def validate_granule_subscription(self, msg, route, stream_id):
'''
Validation for granule format
'''
if msg == {}:
return
rdt = RecordDictionaryTool.load_from_granule(msg)
log.info('%s', rdt.pretty_print())
self.assertIsInstance(msg,Granule,'Message is improperly formatted. (%s)' % type(msg))
self.event.set()
def wait_until_we_have_enough_granules(self, dataset_id='',data_size=40):
'''
Loops until there is a sufficient amount of data in the dataset
'''
done = False
with gevent.Timeout(40):
while not done:
extents = self.dataset_management.dataset_extents(dataset_id, 'time')
granule = self.data_retriever.retrieve_last_data_points(dataset_id, 1)
rdt = RecordDictionaryTool.load_from_granule(granule)
if rdt['time'] and rdt['time'][0] != rdt._pdict.get_context('time').fill_value and extents >= data_size:
done = True
else:
gevent.sleep(0.2)
#--------------------------------------------------------------------------------
# Test Methods
#--------------------------------------------------------------------------------
def test_dm_end_2_end(self):
#--------------------------------------------------------------------------------
# Set up a stream and have a mock instrument (producer) send data
#--------------------------------------------------------------------------------
self.event.clear()
# Get a precompiled parameter dictionary with basic ctd fields
pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict',id_only=True)
context_ids = self.dataset_management.read_parameter_contexts(pdict_id, id_only=True)
# Add a field that supports binary data input.
bin_context = ParameterContext('binary', param_type=ArrayType())
context_ids.append(self.dataset_management.create_parameter_context('binary', bin_context.dump()))
# Add another field that supports dictionary elements.
rec_context = ParameterContext('records', param_type=RecordType())
context_ids.append(self.dataset_management.create_parameter_context('records', rec_context.dump()))
pdict_id = self.dataset_management.create_parameter_dictionary('replay_pdict', parameter_context_ids=context_ids, temporal_context='time')
stream_definition = self.pubsub_management.create_stream_definition('ctd data', parameter_dictionary_id=pdict_id)
stream_id, route = self.pubsub_management.create_stream('producer', exchange_point=self.exchange_point_name, stream_definition_id=stream_definition)
#--------------------------------------------------------------------------------
# Start persisting the data on the stream
# - Get the ingestion configuration from the resource registry
# - Create the dataset
# - call persist_data_stream to setup the subscription for the ingestion workers
# on the stream that you specify which causes the data to be persisted
#--------------------------------------------------------------------------------
ingest_config_id = self.get_ingestion_config()
dataset_id = self.create_dataset(pdict_id)
self.ingestion_management.persist_data_stream(stream_id=stream_id, ingestion_configuration_id=ingest_config_id, dataset_id=dataset_id)
self.addCleanup(self.stop_ingestion, stream_id)
#--------------------------------------------------------------------------------
# Now the granules are ingesting and persisted
#--------------------------------------------------------------------------------
self.launch_producer(stream_id)
self.wait_until_we_have_enough_granules(dataset_id,40)
#--------------------------------------------------------------------------------
# Now get the data in one chunk using an RPC Call to start_retreive
#--------------------------------------------------------------------------------
replay_data = self.data_retriever.retrieve(dataset_id)
self.assertIsInstance(replay_data, Granule)
rdt = RecordDictionaryTool.load_from_granule(replay_data)
self.assertTrue((rdt['time'][:10] == np.arange(10)).all(),'%s' % rdt['time'][:])
self.assertTrue((rdt['binary'][:10] == np.array(['hi']*10, dtype='object')).all())
#--------------------------------------------------------------------------------
# Now to try the streamed approach
#--------------------------------------------------------------------------------
replay_stream_id, replay_route = self.pubsub_management.create_stream('replay_out', exchange_point=self.exchange_point_name, stream_definition_id=stream_definition)
self.replay_id, process_id = self.data_retriever.define_replay(dataset_id=dataset_id, stream_id=replay_stream_id)
log.info('Process ID: %s', process_id)
replay_client = ReplayClient(process_id)
#--------------------------------------------------------------------------------
# Create the listening endpoint for the the retriever to talk to
#--------------------------------------------------------------------------------
sub_id = self.pubsub_management.create_subscription(self.exchange_space_name,stream_ids=[replay_stream_id])
self.addCleanup(self.pubsub_management.delete_subscription, sub_id)
self.pubsub_management.activate_subscription(sub_id)
self.addCleanup(self.pubsub_management.deactivate_subscription, sub_id)
subscriber = StandaloneStreamSubscriber(self.exchange_space_name, self.validate_granule_subscription)
subscriber.start()
self.addCleanup(subscriber.stop)
self.data_retriever.start_replay_agent(self.replay_id)
self.assertTrue(replay_client.await_agent_ready(5), 'The process never launched')
replay_client.start_replay()
self.assertTrue(self.event.wait(10))
self.data_retriever.cancel_replay_agent(self.replay_id)
#--------------------------------------------------------------------------------
# Test the slicing capabilities
#--------------------------------------------------------------------------------
granule = self.data_retriever.retrieve(dataset_id=dataset_id, query={'tdoa':slice(0,5)})
rdt = RecordDictionaryTool.load_from_granule(granule)
b = rdt['time'] == np.arange(5)
self.assertTrue(b.all() if not isinstance(b,bool) else b)
def test_coverage_transform(self):
ph = ParameterHelper(self.dataset_management, self.addCleanup)
pdict_id = ph.create_parsed()
stream_def_id = self.pubsub_management.create_stream_definition('ctd parsed', parameter_dictionary_id=pdict_id)
self.addCleanup(self.pubsub_management.delete_stream_definition, stream_def_id)
stream_id, route = self.pubsub_management.create_stream('example', exchange_point=self.exchange_point_name, stream_definition_id=stream_def_id)
self.addCleanup(self.pubsub_management.delete_stream, stream_id)
ingestion_config_id = self.get_ingestion_config()
dataset_id = self.create_dataset(pdict_id)
self.ingestion_management.persist_data_stream(stream_id=stream_id, ingestion_configuration_id=ingestion_config_id, dataset_id=dataset_id)
self.addCleanup(self.ingestion_management.unpersist_data_stream, stream_id, ingestion_config_id)
publisher = StandaloneStreamPublisher(stream_id, route)
rdt = ph.get_rdt(stream_def_id)
ph.fill_parsed_rdt(rdt)
dataset_monitor = DatasetMonitor(dataset_id)
self.addCleanup(dataset_monitor.stop)
publisher.publish(rdt.to_granule())
self.assertTrue(dataset_monitor.wait())
replay_granule = self.data_retriever.retrieve(dataset_id)
rdt_out = RecordDictionaryTool.load_from_granule(replay_granule)
np.testing.assert_array_almost_equal(rdt_out['time'], rdt['time'])
np.testing.assert_array_almost_equal(rdt_out['temp'], rdt['temp'])
np.testing.assert_allclose(rdt_out['conductivity_L1'], np.array([42.914]))
np.testing.assert_allclose(rdt_out['temp_L1'], np.array([20.]))
np.testing.assert_allclose(rdt_out['pressure_L1'], np.array([3.068]))
np.testing.assert_allclose(rdt_out['density'], np.array([1021.7144739593881], dtype='float32'))
np.testing.assert_allclose(rdt_out['salinity'], np.array([30.935132729668283], dtype='float32'))
def test_ingestion_pause(self):
ctd_stream_id, route, stream_def_id, dataset_id = self.make_simple_dataset()
ingestion_config_id = self.get_ingestion_config()
self.start_ingestion(ctd_stream_id, dataset_id)
self.addCleanup(self.stop_ingestion, ctd_stream_id)
rdt = RecordDictionaryTool(stream_definition_id=stream_def_id)
rdt['time'] = np.arange(10)
publisher = StandaloneStreamPublisher(ctd_stream_id, route)
monitor = DatasetMonitor(dataset_id)
self.addCleanup(monitor.stop)
publisher.publish(rdt.to_granule())
self.assertTrue(monitor.wait())
granule = self.data_retriever.retrieve(dataset_id)
self.ingestion_management.pause_data_stream(ctd_stream_id, ingestion_config_id)
monitor.event.clear()
rdt['time'] = np.arange(10,20)
publisher.publish(rdt.to_granule())
self.assertFalse(monitor.event.wait(1))
self.ingestion_management.resume_data_stream(ctd_stream_id, ingestion_config_id)
self.assertTrue(monitor.wait())
granule = self.data_retriever.retrieve(dataset_id)
rdt2 = RecordDictionaryTool.load_from_granule(granule)
np.testing.assert_array_almost_equal(rdt2['time'], np.arange(20))
def test_last_granule(self):
stream_id, route, stream_def_id, dataset_id = self.make_simple_dataset()
self.start_ingestion(stream_id, dataset_id)
self.addCleanup(self.stop_ingestion, stream_id)
self.publish_hifi(stream_id,route, 0)
self.publish_hifi(stream_id,route, 1)
self.wait_until_we_have_enough_granules(dataset_id,20) # I just need two
success = False
def verifier():
replay_granule = self.data_retriever.retrieve_last_data_points(dataset_id, 10)
rdt = RecordDictionaryTool.load_from_granule(replay_granule)
comp = rdt['time'] == np.arange(10) + 10
if not isinstance(comp,bool):
return comp.all()
return False
success = poll(verifier)
self.assertTrue(success)
success = False
def verify_points():
replay_granule = self.data_retriever.retrieve_last_data_points(dataset_id,5)
rdt = RecordDictionaryTool.load_from_granule(replay_granule)
comp = rdt['time'] == np.arange(15,20)
if not isinstance(comp,bool):
return comp.all()
return False
success = poll(verify_points)
self.assertTrue(success)
def test_replay_with_parameters(self):
#--------------------------------------------------------------------------------
# Create the configurations and the dataset
#--------------------------------------------------------------------------------
# Get a precompiled parameter dictionary with basic ctd fields
pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict',id_only=True)
context_ids = self.dataset_management.read_parameter_contexts(pdict_id, id_only=True)
# Add a field that supports binary data input.
bin_context = ParameterContext('binary', param_type=ArrayType())
context_ids.append(self.dataset_management.create_parameter_context('binary', bin_context.dump()))
# Add another field that supports dictionary elements.
rec_context = ParameterContext('records', param_type=RecordType())
context_ids.append(self.dataset_management.create_parameter_context('records', rec_context.dump()))
pdict_id = self.dataset_management.create_parameter_dictionary('replay_pdict', parameter_context_ids=context_ids, temporal_context='time')
stream_def_id = self.pubsub_management.create_stream_definition('replay_stream', parameter_dictionary_id=pdict_id)
stream_id, route = self.pubsub_management.create_stream('replay_with_params', exchange_point=self.exchange_point_name, stream_definition_id=stream_def_id)
config_id = self.get_ingestion_config()
dataset_id = self.create_dataset(pdict_id)
self.ingestion_management.persist_data_stream(stream_id=stream_id, ingestion_configuration_id=config_id, dataset_id=dataset_id)
self.addCleanup(self.stop_ingestion, stream_id)
dataset_monitor = DatasetMonitor(dataset_id)
self.addCleanup(dataset_monitor.stop)
self.publish_fake_data(stream_id, route)
self.assertTrue(dataset_monitor.wait())
query = {
'start_time': 0 - 2208988800,
'end_time': 19 - 2208988800,
'stride_time' : 2,
'parameters': ['time','temp']
}
retrieved_data = self.data_retriever.retrieve(dataset_id=dataset_id,query=query)
rdt = RecordDictionaryTool.load_from_granule(retrieved_data)
np.testing.assert_array_equal(rdt['time'], np.arange(0,20,2))
self.assertEquals(set(rdt.iterkeys()), set(['time','temp']))
extents = self.dataset_management.dataset_extents(dataset_id=dataset_id, parameters=['time','temp'])
self.assertTrue(extents['time']>=20)
self.assertTrue(extents['temp']>=20)
def test_repersist_data(self):
stream_id, route, stream_def_id, dataset_id = self.make_simple_dataset()
self.start_ingestion(stream_id, dataset_id)
self.publish_hifi(stream_id,route,0)
self.publish_hifi(stream_id,route,1)
self.wait_until_we_have_enough_granules(dataset_id,20)
config_id = self.get_ingestion_config()
self.ingestion_management.unpersist_data_stream(stream_id=stream_id,ingestion_configuration_id=config_id)
self.ingestion_management.persist_data_stream(stream_id=stream_id,ingestion_configuration_id=config_id,dataset_id=dataset_id)
self.addCleanup(self.stop_ingestion, stream_id)
self.publish_hifi(stream_id,route,2)
self.publish_hifi(stream_id,route,3)
self.wait_until_we_have_enough_granules(dataset_id,40)
success = False
with gevent.timeout.Timeout(5):
while not success:
replay_granule = self.data_retriever.retrieve(dataset_id)
rdt = RecordDictionaryTool.load_from_granule(replay_granule)
comp = rdt['time'] == np.arange(0,40)
if not isinstance(comp,bool):
success = comp.all()
gevent.sleep(1)
self.assertTrue(success)
@unittest.skip('deprecated')
def test_correct_time(self):
# There are 2208988800 seconds between Jan 1 1900 and Jan 1 1970, i.e.
# the conversion factor between unix and NTP time
unix_now = np.floor(time.time())
ntp_now = unix_now + 2208988800
unix_ago = unix_now - 20
ntp_ago = unix_ago + 2208988800
stream_id, route, stream_def_id, dataset_id = self.make_simple_dataset()
coverage = DatasetManagementService._get_simplex_coverage(dataset_id, mode='a')
coverage.insert_timesteps(20)
coverage.set_parameter_values('time', np.arange(ntp_ago,ntp_now))
temporal_bounds = self.dataset_management.dataset_temporal_bounds(dataset_id)
self.assertTrue( np.abs(temporal_bounds[0] - unix_ago) < 2)
self.assertTrue( np.abs(temporal_bounds[1] - unix_now) < 2)
@attr('LOCOINT')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False), 'Host requires file-system access to coverage files, CEI mode does not support.')
def test_out_of_band_retrieve(self):
# Setup the environemnt
stream_id, route, stream_def_id, dataset_id = self.make_simple_dataset()
self.start_ingestion(stream_id, dataset_id)
# Fill the dataset
self.publish_fake_data(stream_id, route)
self.wait_until_we_have_enough_granules(dataset_id,40)
# Retrieve the data
granule = DataRetrieverService.retrieve_oob(dataset_id)
rdt = RecordDictionaryTool.load_from_granule(granule)
self.assertTrue((rdt['time'] == np.arange(40)).all())
def publish_and_wait(self, dataset_id, granule):
stream_ids, _ = self.resource_registry.find_objects(dataset_id, PRED.hasStream,id_only=True)
stream_id=stream_ids[0]
route = self.pubsub_management.read_stream_route(stream_id)
publisher = StandaloneStreamPublisher(stream_id,route)
dataset_monitor = DatasetMonitor(dataset_id)
self.addCleanup(dataset_monitor.stop)
publisher.publish(granule)
self.assertTrue(dataset_monitor.wait())
def test_sparse_values(self):
ph = ParameterHelper(self.dataset_management, self.addCleanup)
pdict_id = ph.create_sparse()
stream_def_id = self.pubsub_management.create_stream_definition('sparse', parameter_dictionary_id=pdict_id)
self.addCleanup(self.pubsub_management.delete_stream_definition, stream_def_id)
stream_id, route = self.pubsub_management.create_stream('example', exchange_point=self.exchange_point_name, stream_definition_id=stream_def_id)
self.addCleanup(self.pubsub_management.delete_stream, stream_id)
dataset_id = self.create_dataset(pdict_id)
self.start_ingestion(stream_id,dataset_id)
self.addCleanup(self.stop_ingestion, stream_id)
# Publish initial granule
# the first one has the sparse value set inside it, sets lat to 45 and lon to -71
ntp_now = time.time() + 2208988800
rdt = ph.get_rdt(stream_def_id)
rdt['time'] = [ntp_now]
rdt['internal_timestamp'] = [ntp_now]
rdt['temp'] = [300000]
rdt['preferred_timestamp'] = ['driver_timestamp']
rdt['port_timestamp'] = [ntp_now]
rdt['quality_flag'] = ['']
rdt['lat'] = [45]
rdt['conductivity'] = [4341400]
rdt['driver_timestamp'] = [ntp_now]
rdt['lon'] = [-71]
rdt['pressure'] = [256.8]
publisher = StandaloneStreamPublisher(stream_id, route)
dataset_monitor = DatasetMonitor(dataset_id)
self.addCleanup(dataset_monitor.stop)
publisher.publish(rdt.to_granule())
self.assertTrue(dataset_monitor.wait())
dataset_monitor.reset()
replay_granule = self.data_retriever.retrieve(dataset_id)
rdt_out = RecordDictionaryTool.load_from_granule(replay_granule)
# Check the values and make sure they're correct
np.testing.assert_allclose(rdt_out['time'], rdt['time'])
np.testing.assert_allclose(rdt_out['temp'], rdt['temp'])
np.testing.assert_allclose(rdt_out['lat'], np.array([45]))
np.testing.assert_allclose(rdt_out['lon'], np.array([-71]))
np.testing.assert_allclose(rdt_out['conductivity_L1'], np.array([42.914]))
np.testing.assert_allclose(rdt_out['temp_L1'], np.array([20.]))
np.testing.assert_allclose(rdt_out['pressure_L1'], np.array([3.068]))
np.testing.assert_allclose(rdt_out['density'], np.array([1021.7144739593881], dtype='float32'))
np.testing.assert_allclose(rdt_out['salinity'], np.array([30.935132729668283], dtype='float32'))
# We're going to change the lat/lon
rdt = ph.get_rdt(stream_def_id)
rdt['time'] = time.time() + 2208988800
rdt['lat'] = [46]
rdt['lon'] = [-73]
publisher.publish(rdt.to_granule())
self.assertTrue(dataset_monitor.wait())
dataset_monitor.reset()
replay_granule = self.data_retriever.retrieve(dataset_id)
rdt_out = RecordDictionaryTool.load_from_granule(replay_granule)
np.testing.assert_allclose(rdt_out['time'], rdt['time'])
for i in xrange(9):
ntp_now = time.time() + 2208988800
rdt['time'] = [ntp_now]
rdt['internal_timestamp'] = [ntp_now]
rdt['temp'] = [300000]
rdt['preferred_timestamp'] = ['driver_timestamp']
rdt['port_timestamp'] = [ntp_now]
rdt['quality_flag'] = [None]
rdt['conductivity'] = [4341400]
rdt['driver_timestamp'] = [ntp_now]
rdt['pressure'] = [256.8]
publisher.publish(rdt.to_granule())
self.assertTrue(dataset_monitor.wait())
dataset_monitor.reset()
replay_granule = self.data_retriever.retrieve(dataset_id)
rdt_out = RecordDictionaryTool.load_from_granule(replay_granule)
np.testing.assert_allclose(rdt_out['pressure'], np.array([256.8] * 10))
np.testing.assert_allclose(rdt_out['lat'], np.array([45] + [46] * 9))
np.testing.assert_allclose(rdt_out['lon'], np.array([-71] + [-73] * 9))
class TestObservatoryManagementServiceIntegration(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')
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()
# @unittest.skip('this exists only for debugging the launch process')
# def test_just_the_setup(self):
# return
def destroy(self, resource_ids):
self.OMS.force_delete_observatory(resource_ids.observatory_id)
self.OMS.force_delete_subsite(resource_ids.subsite_id)
self.OMS.force_delete_subsite(resource_ids.subsite2_id)
self.OMS.force_delete_subsite(resource_ids.subsiteb_id)
self.OMS.force_delete_subsite(resource_ids.subsitez_id)
self.OMS.force_delete_platform_site(resource_ids.platform_site_id)
self.OMS.force_delete_platform_site(resource_ids.platform_siteb_id)
self.OMS.force_delete_platform_site(resource_ids.platform_siteb2_id)
self.OMS.force_delete_platform_site(resource_ids.platform_site3_id)
self.OMS.force_delete_instrument_site(resource_ids.instrument_site_id)
self.OMS.force_delete_instrument_site(resource_ids.instrument_site2_id)
self.OMS.force_delete_instrument_site(resource_ids.instrument_siteb3_id)
self.OMS.force_delete_instrument_site(resource_ids.instrument_site4_id)
#@unittest.skip('targeting')
def test_observatory_management(self):
resources = self._make_associations()
self._do_test_find_related_sites(resources)
self._do_test_get_sites_devices_status(resources)
self._do_test_find_site_data_products(resources)
self._do_test_find_related_frames_of_reference(resources)
self._do_test_create_geospatial_point_center(resources)
self._do_test_find_observatory_org(resources)
self.destroy(resources)
def _do_test_find_related_sites(self, resources):
site_resources, site_children, _, _ = self.OMS.find_related_sites(resources.org_id)
#import sys, pprint
#print >> sys.stderr, pprint.pformat(site_resources)
#print >> sys.stderr, pprint.pformat(site_children)
#self.assertIn(resources.org_id, site_resources)
self.assertIn(resources.observatory_id, site_resources)
self.assertIn(resources.subsite_id, site_resources)
self.assertIn(resources.subsite_id, site_resources)
self.assertIn(resources.subsite2_id, site_resources)
self.assertIn(resources.platform_site_id, site_resources)
self.assertIn(resources.instrument_site_id, site_resources)
self.assertEquals(len(site_resources), 13)
self.assertEquals(site_resources[resources.observatory_id].type_, RT.Observatory)
self.assertIn(resources.org_id, site_children)
self.assertIn(resources.observatory_id, site_children)
self.assertIn(resources.subsite_id, site_children)
self.assertIn(resources.subsite_id, site_children)
self.assertIn(resources.subsite2_id, site_children)
self.assertIn(resources.platform_site_id, site_children)
self.assertNotIn(resources.instrument_site_id, site_children)
self.assertEquals(len(site_children), 9)
self.assertIsInstance(site_children[resources.subsite_id], list)
self.assertEquals(len(site_children[resources.subsite_id]), 2)
def _do_test_get_sites_devices_status(self, resources):
#bin/nosetests -s -v --nologcapture ion/services/sa/observatory/test/test_observatory_management_service_integration.py:TestObservatoryManagementServiceIntegration.test_observatory_management
full_result_dict = self.OMS.get_sites_devices_status(parent_resource_ids=[resources.org_id], include_sites=True)
result_dict = full_result_dict[resources.org_id]
site_resources = result_dict.get("site_resources", None)
site_children = result_dict.get("site_children", None)
self.assertEquals(len(site_resources), 14)
self.assertEquals(len(site_children), 9)
full_result_dict = self.OMS.get_sites_devices_status(parent_resource_ids=[resources.org_id], include_sites=True, include_devices=True, include_status=True)
result_dict = full_result_dict[resources.org_id]
log.debug("RESULT DICT: %s", result_dict.keys())
site_resources = result_dict.get("site_resources", None)
site_children = result_dict.get("site_children", None)
site_status = result_dict.get("site_status", None)
self.assertEquals(len(site_resources), 14)
self.assertEquals(len(site_children), 9)
full_result_dict = self.OMS.get_sites_devices_status(parent_resource_ids=[resources.observatory_id], include_sites=True, include_devices=True, include_status=True)
result_dict = full_result_dict[resources.observatory_id]
site_resources = result_dict.get("site_resources")
site_children = result_dict.get("site_children")
site_status = result_dict.get("site_status")
self.assertEquals(len(site_resources), 13)
self.assertEquals(len(site_children), 8)
def _do_test_find_site_data_products(self, resources):
res_dict = self.OMS.find_site_data_products(resources.org_id)
#import sys, pprint
#print >> sys.stderr, pprint.pformat(res_dict)
self.assertIsNone(res_dict['data_product_resources'])
self.assertIn(resources.platform_device_id, res_dict['device_data_products'])
self.assertIn(resources.instrument_device_id, res_dict['device_data_products'])
#@unittest.skip('targeting')
def _do_test_find_related_frames_of_reference(self, stuff):
# finding subordinates gives a dict of obj lists, convert objs to ids
def idify(adict):
ids = {}
for k, v in adict.iteritems():
ids[k] = []
for obj in v:
ids[k].append(obj._id)
return ids
# a short version of the function we're testing, with id-ify
def short(resource_id, output_types):
ret = self.OMS.find_related_frames_of_reference(resource_id,
output_types)
return idify(ret)
#set up associations first
stuff = self._make_associations()
#basic traversal of tree from instrument to platform
ids = short(stuff.instrument_site_id, [RT.PlatformSite])
self.assertIn(RT.PlatformSite, ids)
self.assertIn(stuff.platform_site_id, ids[RT.PlatformSite])
self.assertIn(stuff.platform_siteb_id, ids[RT.PlatformSite])
self.assertNotIn(stuff.platform_siteb2_id, ids[RT.PlatformSite])
#since this is the first search, just make sure the input inst_id got stripped
if RT.InstrumentSite in ids:
self.assertNotIn(stuff.instrument_site_id, ids[RT.InstrumentSite])
#basic traversal of tree from platform to instrument
ids = short(stuff.platform_siteb_id, [RT.InstrumentSite])
self.assertIn(RT.InstrumentSite, ids)
self.assertIn(stuff.instrument_site_id, ids[RT.InstrumentSite])
self.assertNotIn(stuff.instrument_site2_id, ids[RT.InstrumentSite])
#full traversal of tree from observatory down to instrument
ids = short(stuff.observatory_id, [RT.InstrumentSite])
self.assertIn(RT.InstrumentSite, ids)
self.assertIn(stuff.instrument_site_id, ids[RT.InstrumentSite])
#full traversal of tree from instrument to observatory
ids = short(stuff.instrument_site_id, [RT.Observatory])
self.assertIn(RT.Observatory, ids)
self.assertIn(stuff.observatory_id, ids[RT.Observatory])
#partial traversal, only down to platform
ids = short(stuff.observatory_id, [RT.Subsite, RT.PlatformSite])
self.assertIn(RT.PlatformSite, ids)
self.assertIn(RT.Subsite, ids)
self.assertIn(stuff.platform_site_id, ids[RT.PlatformSite])
self.assertIn(stuff.platform_siteb_id, ids[RT.PlatformSite])
self.assertIn(stuff.platform_siteb2_id, ids[RT.PlatformSite])
self.assertIn(stuff.platform_site3_id, ids[RT.PlatformSite])
self.assertIn(stuff.subsite_id, ids[RT.Subsite])
self.assertIn(stuff.subsite2_id, ids[RT.Subsite])
self.assertIn(stuff.subsitez_id, ids[RT.Subsite])
self.assertIn(stuff.subsiteb_id, ids[RT.Subsite])
self.assertNotIn(RT.InstrumentSite, ids)
#partial traversal, only down to platform
ids = short(stuff.instrument_site_id, [RT.Subsite, RT.PlatformSite])
self.assertIn(RT.PlatformSite, ids)
self.assertIn(RT.Subsite, ids)
self.assertIn(stuff.platform_siteb_id, ids[RT.PlatformSite])
self.assertIn(stuff.platform_site_id, ids[RT.PlatformSite])
self.assertIn(stuff.subsite_id, ids[RT.Subsite])
self.assertIn(stuff.subsiteb_id, ids[RT.Subsite])
self.assertNotIn(stuff.subsite2_id, ids[RT.Subsite])
self.assertNotIn(stuff.subsitez_id, ids[RT.Subsite])
self.assertNotIn(stuff.platform_siteb2_id, ids[RT.PlatformSite])
self.assertNotIn(RT.Observatory, ids)
self.destroy(stuff)
def _make_associations(self):
"""
create one of each resource and association used by OMS
to guard against problems in ion-definitions
"""
#raise unittest.SkipTest("https://jira.oceanobservatories.org/tasks/browse/CISWCORE-41")
"""
the tree we're creating (observatory, sites, platforms, instruments)
rows are lettered, colums numbered.
- first row is implied a
- first column is implied 1
- site Z, just because
O--Sz
|
S--S2--P3--I4
|
Sb-Pb2-Ib3
|
P--I2 <- PlatformDevice, InstrumentDevice2
|
Pb <- PlatformDevice b
|
I <- InstrumentDevice
"""
org_id = self.OMS.create_marine_facility(any_old(RT.Org))
def create_under_org(resource_type, extra_fields=None):
obj = any_old(resource_type, extra_fields)
if RT.InstrumentDevice == resource_type:
resource_id = self.IMS.create_instrument_device(obj)
else:
resource_id, _ = self.RR.create(obj)
self.OMS.assign_resource_to_observatory_org(resource_id=resource_id, org_id=org_id)
return resource_id
#stuff we control
observatory_id = create_under_org(RT.Observatory)
subsite_id = create_under_org(RT.Subsite)
subsite2_id = create_under_org(RT.Subsite)
subsiteb_id = create_under_org(RT.Subsite)
subsitez_id = create_under_org(RT.Subsite)
platform_site_id = create_under_org(RT.PlatformSite)
platform_siteb_id = create_under_org(RT.PlatformSite)
platform_siteb2_id = create_under_org(RT.PlatformSite)
platform_site3_id = create_under_org(RT.PlatformSite)
instrument_site_id = create_under_org(RT.InstrumentSite)
instrument_site2_id = create_under_org(RT.InstrumentSite)
instrument_siteb3_id = create_under_org(RT.InstrumentSite)
instrument_site4_id = create_under_org(RT.InstrumentSite)
#stuff we associate to
instrument_device_id = create_under_org(RT.InstrumentDevice)
instrument_device2_id = create_under_org(RT.InstrumentDevice)
platform_device_id = create_under_org(RT.PlatformDevice)
platform_deviceb_id = create_under_org(RT.PlatformDevice)
instrument_model_id, _ = self.RR.create(any_old(RT.InstrumentModel))
platform_model_id, _ = self.RR.create(any_old(RT.PlatformModel))
deployment_id, _ = self.RR.create(any_old(RT.Deployment))
#observatory
self.RR.create_association(observatory_id, PRED.hasSite, subsite_id)
self.RR.create_association(observatory_id, PRED.hasSite, subsitez_id)
#site
self.RR.create_association(subsite_id, PRED.hasSite, subsite2_id)
self.RR.create_association(subsite_id, PRED.hasSite, subsiteb_id)
self.RR.create_association(subsite2_id, PRED.hasSite, platform_site3_id)
self.RR.create_association(subsiteb_id, PRED.hasSite, platform_siteb2_id)
self.RR.create_association(subsiteb_id, PRED.hasSite, platform_site_id)
#platform_site(s)
self.RR.create_association(platform_site3_id, PRED.hasSite, instrument_site4_id)
self.RR.create_association(platform_siteb2_id, PRED.hasSite, instrument_siteb3_id)
self.RR.create_association(platform_site_id, PRED.hasSite, instrument_site2_id)
self.RR.create_association(platform_site_id, PRED.hasSite, platform_siteb_id)
self.RR.create_association(platform_siteb_id, PRED.hasSite, instrument_site_id)
self.RR.create_association(platform_siteb_id, PRED.hasDevice, platform_deviceb_id)
#test network parent link
self.OMS.assign_device_to_network_parent(platform_device_id, platform_deviceb_id)
self.RR.create_association(platform_site_id, PRED.hasModel, platform_model_id)
self.RR.create_association(platform_site_id, PRED.hasDevice, platform_device_id)
self.RR.create_association(platform_site_id, PRED.hasDeployment, deployment_id)
#instrument_site(s)
self.RR.create_association(instrument_site_id, PRED.hasModel, instrument_model_id)
self.RR.create_association(instrument_site_id, PRED.hasDevice, instrument_device_id)
self.RR.create_association(instrument_site_id, PRED.hasDeployment, deployment_id)
self.RR.create_association(instrument_site2_id, PRED.hasDevice, instrument_device2_id)
#platform_device
self.RR.create_association(platform_device_id, PRED.hasModel, platform_model_id)
#instrument_device
self.RR.create_association(instrument_device_id, PRED.hasModel, instrument_model_id)
self.RR.create_association(instrument_device2_id, PRED.hasModel, instrument_model_id)
ret = DotDict()
ret.org_id = org_id
ret.observatory_id = observatory_id
ret.subsite_id = subsite_id
ret.subsite2_id = subsite2_id
ret.subsiteb_id = subsiteb_id
ret.subsitez_id = subsitez_id
ret.platform_site_id = platform_site_id
ret.platform_siteb_id = platform_siteb_id
ret.platform_siteb2_id = platform_siteb2_id
ret.platform_site3_id = platform_site3_id
ret.instrument_site_id = instrument_site_id
ret.instrument_site2_id = instrument_site2_id
ret.instrument_siteb3_id = instrument_siteb3_id
ret.instrument_site4_id = instrument_site4_id
ret.instrument_device_id = instrument_device_id
ret.instrument_device2_id = instrument_device2_id
ret.platform_device_id = platform_device_id
ret.platform_deviceb_id = platform_deviceb_id
ret.instrument_model_id = instrument_model_id
ret.platform_model_id = platform_model_id
ret.deployment_id = deployment_id
return ret
#@unittest.skip("targeting")
def test_create_observatory(self):
observatory_obj = IonObject(RT.Observatory,
name='TestFacility',
description='some new mf')
observatory_id = self.OMS.create_observatory(observatory_obj)
self.OMS.force_delete_observatory(observatory_id)
#@unittest.skip("targeting")
def _do_test_create_geospatial_point_center(self, resources):
platformsite_obj = IonObject(RT.PlatformSite,
name='TestPlatformSite',
description='some new TestPlatformSite')
geo_index_obj = IonObject(OT.GeospatialBounds)
geo_index_obj.geospatial_latitude_limit_north = 20.0
geo_index_obj.geospatial_latitude_limit_south = 10.0
geo_index_obj.geospatial_longitude_limit_east = 15.0
geo_index_obj.geospatial_longitude_limit_west = 20.0
platformsite_obj.constraint_list = [geo_index_obj]
platformsite_id = self.OMS.create_platform_site(platformsite_obj)
# now get the dp back to see if it was updated
platformsite_obj = self.OMS.read_platform_site(platformsite_id)
self.assertEquals('some new TestPlatformSite', platformsite_obj.description)
self.assertAlmostEqual(15.0, platformsite_obj.geospatial_point_center.lat, places=1)
#now adjust a few params
platformsite_obj.description = 'some old TestPlatformSite'
geo_index_obj = IonObject(OT.GeospatialBounds)
geo_index_obj.geospatial_latitude_limit_north = 30.0
geo_index_obj.geospatial_latitude_limit_south = 20.0
platformsite_obj.constraint_list = [geo_index_obj]
update_result = self.OMS.update_platform_site(platformsite_obj)
# now get the dp back to see if it was updated
platformsite_obj = self.OMS.read_platform_site(platformsite_id)
self.assertEquals('some old TestPlatformSite', platformsite_obj.description)
self.assertAlmostEqual(25.0, platformsite_obj.geospatial_point_center.lat, places=1)
self.OMS.force_delete_platform_site(platformsite_id)
#@unittest.skip("targeting")
def _do_test_find_observatory_org(self, resources):
log.debug("Make TestOrg")
org_obj = IonObject(RT.Org,
name='TestOrg',
description='some new mf org')
org_id = self.OMS.create_marine_facility(org_obj)
log.debug("Make Observatory")
observatory_obj = IonObject(RT.Observatory,
name='TestObservatory',
description='some new obs')
observatory_id = self.OMS.create_observatory(observatory_obj)
log.debug("assign observatory to org")
self.OMS.assign_resource_to_observatory_org(observatory_id, org_id)
log.debug("verify assigment")
org_objs = self.OMS.find_org_by_observatory(observatory_id)
self.assertEqual(1, len(org_objs))
self.assertEqual(org_id, org_objs[0]._id)
log.debug("org_id=<" + org_id + ">")
log.debug("create a subsite with parent Observatory")
subsite_obj = IonObject(RT.Subsite,
name= 'TestSubsite',
description = 'sample subsite')
subsite_id = self.OMS.create_subsite(subsite_obj, observatory_id)
self.assertIsNotNone(subsite_id, "Subsite not created.")
log.debug("verify that Subsite is linked to Observatory")
mf_subsite_assoc = self.RR.get_association(observatory_id, PRED.hasSite, subsite_id)
self.assertIsNotNone(mf_subsite_assoc, "Subsite not connected to Observatory.")
log.debug("add the Subsite as a resource of this Observatory")
self.OMS.assign_resource_to_observatory_org(resource_id=subsite_id, org_id=org_id)
log.debug("verify that Subsite is linked to Org")
org_subsite_assoc = self.RR.get_association(org_id, PRED.hasResource, subsite_id)
self.assertIsNotNone(org_subsite_assoc, "Subsite not connected as resource to Org.")
log.debug("create a logical platform with parent Subsite")
platform_site_obj = IonObject(RT.PlatformSite,
name= 'TestPlatformSite',
description = 'sample logical platform')
platform_site_id = self.OMS.create_platform_site(platform_site_obj, subsite_id)
self.assertIsNotNone(platform_site_id, "PlatformSite not created.")
log.debug("verify that PlatformSite is linked to Site")
site_lp_assoc = self.RR.get_association(subsite_id, PRED.hasSite, platform_site_id)
self.assertIsNotNone(site_lp_assoc, "PlatformSite not connected to Site.")
log.debug("add the PlatformSite as a resource of this Observatory")
self.OMS.assign_resource_to_observatory_org(resource_id=platform_site_id, org_id=org_id)
log.debug("verify that PlatformSite is linked to Org")
org_lp_assoc = self.RR.get_association(org_id, PRED.hasResource, platform_site_id)
self.assertIsNotNone(org_lp_assoc, "PlatformSite not connected as resource to Org.")
log.debug("create a logical instrument with parent logical platform")
instrument_site_obj = IonObject(RT.InstrumentSite,
name= 'TestInstrumentSite',
description = 'sample logical instrument')
instrument_site_id = self.OMS.create_instrument_site(instrument_site_obj, platform_site_id)
self.assertIsNotNone(instrument_site_id, "InstrumentSite not created.")
log.debug("verify that InstrumentSite is linked to PlatformSite")
li_lp_assoc = self.RR.get_association(platform_site_id, PRED.hasSite, instrument_site_id)
self.assertIsNotNone(li_lp_assoc, "InstrumentSite not connected to PlatformSite.")
log.debug("add the InstrumentSite as a resource of this Observatory")
self.OMS.assign_resource_to_observatory_org(resource_id=instrument_site_id, org_id=org_id)
log.debug("verify that InstrumentSite is linked to Org")
org_li_assoc = self.RR.get_association(org_id, PRED.hasResource, instrument_site_id)
self.assertIsNotNone(org_li_assoc, "InstrumentSite not connected as resource to Org.")
log.debug("remove the InstrumentSite as a resource of this Observatory")
self.OMS.unassign_resource_from_observatory_org(instrument_site_id, org_id)
log.debug("verify that InstrumentSite is linked to Org")
assocs,_ = self.RR.find_objects(org_id, PRED.hasResource, RT.InstrumentSite, id_only=True )
self.assertEqual(0, len(assocs))
log.debug("remove the InstrumentSite, association should drop automatically")
self.OMS.delete_instrument_site(instrument_site_id)
assocs, _ = self.RR.find_objects(platform_site_id, PRED.hasSite, RT.InstrumentSite, id_only=True )
self.assertEqual(0, len(assocs))
log.debug("remove the PlatformSite as a resource of this Observatory")
self.OMS.unassign_resource_from_observatory_org(platform_site_id, org_id)
log.debug("verify that PlatformSite is linked to Org")
assocs,_ = self.RR.find_objects(org_id, PRED.hasResource, RT.PlatformSite, id_only=True )
self.assertEqual(0, len(assocs))
log.debug("remove the Site as a resource of this Observatory")
self.OMS.unassign_resource_from_observatory_org(subsite_id, org_id)
log.debug("verify that Site is linked to Org")
assocs,_ = self.RR.find_objects(org_id, PRED.hasResource, RT.Subsite, id_only=True )
self.assertEqual(0, len(assocs))
self.RR.delete(org_id)
self.OMS.force_delete_observatory(observatory_id)
self.OMS.force_delete_subsite(subsite_id)
self.OMS.force_delete_platform_site(platform_site_id)
self.OMS.force_delete_instrument_site(instrument_site_id)
@attr('EXT')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False), 'Skip test while in CEI LAUNCH mode as it depends on modifying CFG on service side')
def test_observatory_extensions(self):
self.patch_cfg(CFG["container"], {"extended_resources": {"strip_results": False}})
obs_id = self.RR2.create(any_old(RT.Observatory))
pss_id = self.RR2.create(any_old(RT.PlatformSite, dict(alt_resource_type="StationSite")))
pas_id = self.RR2.create(any_old(RT.PlatformSite, dict(alt_resource_type="PlatformAssemblySite")))
pcs_id = self.RR2.create(any_old(RT.PlatformSite, dict(alt_resource_type="PlatformComponentSite")))
ins_id = self.RR2.create(any_old(RT.InstrumentSite))
obs_obj = self.RR2.read(obs_id)
pss_obj = self.RR2.read(pss_id)
pas_obj = self.RR2.read(pas_id)
pcs_obj = self.RR2.read(pcs_id)
ins_obj = self.RR2.read(ins_id)
self.RR2.create_association(obs_id, PRED.hasSite, pss_id)
self.RR2.create_association(pss_id, PRED.hasSite, pas_id)
self.RR2.create_association(pas_id, PRED.hasSite, pcs_id)
self.RR2.create_association(pcs_id, PRED.hasSite, ins_id)
extended_obs = self.OMS.get_observatory_site_extension(obs_id, user_id=12345)
self.assertEqual([pss_obj], extended_obs.platform_station_sites)
self.assertEqual([pas_obj], extended_obs.platform_assembly_sites)
self.assertEqual([pcs_obj], extended_obs.platform_component_sites)
self.assertEqual([ins_obj], extended_obs.instrument_sites)
extended_pss = self.OMS.get_observatory_site_extension(obs_id, user_id=12345)
self.assertEqual([pas_obj], extended_pss.platform_assembly_sites)
self.assertEqual([pcs_obj], extended_pss.platform_component_sites)
self.assertEqual([ins_obj], extended_pss.instrument_sites)
extended_pas = self.OMS.get_observatory_site_extension(pas_id, user_id=12345)
self.assertEqual([pcs_obj], extended_pas.platform_component_sites)
self.assertEqual([ins_obj], extended_pas.instrument_sites)
extended_pcs = self.OMS.get_platform_component_site_extension(pcs_id, user_id=12345)
self.assertEqual([ins_obj], extended_pcs.instrument_sites)
#@unittest.skip("in development...")
@attr('EXT')
@attr('EXT1')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False), 'Skip test while in CEI LAUNCH mode as it depends on modifying CFG on service side')
def test_observatory_org_extended(self):
self.patch_cfg(CFG["container"], {"extended_resources": {"strip_results": False}})
stuff = self._make_associations()
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)
dp_obj = IonObject(RT.DataProduct,
name='the parsed data',
description='ctd stream test')
data_product_id1 = self.dpclient.create_data_product(data_product=dp_obj,
stream_definition_id=parsed_stream_def_id)
self.damsclient.assign_data_product(input_resource_id=stuff.instrument_device_id,
data_product_id=data_product_id1)
#Create a user to be used as regular member
member_actor_obj = IonObject(RT.ActorIdentity, name='org member actor')
member_actor_id,_ = self.RR.create(member_actor_obj)
assert(member_actor_id)
member_actor_header = get_actor_header(member_actor_id)
member_user_obj = IonObject(RT.UserInfo, name='org member user')
member_user_id,_ = self.RR.create(member_user_obj)
assert(member_user_id)
self.RR.create_association(subject=member_actor_id, predicate=PRED.hasInfo, object=member_user_id)
#Build the Service Agreement Proposal to enroll a user actor
sap = IonObject(OT.EnrollmentProposal,consumer=member_actor_id, provider=stuff.org_id )
sap_response = self.org_management_service.negotiate(sap, headers=member_actor_header )
#enroll the member without using negotiation
self.org_management_service.enroll_member(org_id=stuff.org_id, actor_id=member_actor_id)
#--------------------------------------------------------------------------------
# Get the extended Site (platformSite)
#--------------------------------------------------------------------------------
try:
extended_site = self.OMS.get_site_extension(stuff.platform_site_id)
except:
log.error('failed to get extended site', exc_info=True)
raise
log.debug("extended_site: %r ", extended_site)
self.assertEquals(stuff.subsiteb_id, extended_site.parent_site._id)
self.assertEqual(2, len(extended_site.sites))
self.assertEqual(2, len(extended_site.platform_devices))
self.assertEqual(2, len(extended_site.platform_models))
self.assertIn(stuff.platform_device_id, [o._id for o in extended_site.platform_devices])
self.assertIn(stuff.platform_model_id, [o._id for o in extended_site.platform_models if o is not None])
log.debug("verify that PlatformDeviceb is linked to PlatformDevice with hasNetworkParent link")
associations = self.RR.find_associations(subject=stuff.platform_deviceb_id, predicate=PRED.hasNetworkParent, object=stuff.platform_device_id, id_only=True)
self.assertIsNotNone(associations, "PlatformDevice child not connected to PlatformDevice parent.")
#--------------------------------------------------------------------------------
# Get the extended Org
#--------------------------------------------------------------------------------
#test the extended resource
extended_org = self.OMS.get_marine_facility_extension(stuff.org_id)
log.debug("test_observatory_org_extended: extended_org: %s ", str(extended_org))
#self.assertEqual(2, len(extended_org.instruments_deployed) )
#self.assertEqual(1, len(extended_org.platforms_not_deployed) )
self.assertEqual(2, extended_org.number_of_platforms)
self.assertEqual(2, len(extended_org.platform_models) )
self.assertEqual(2, extended_org.number_of_instruments)
self.assertEqual(2, len(extended_org.instrument_models) )
self.assertEqual(1, len(extended_org.members))
self.assertNotEqual(extended_org.members[0]._id, member_actor_id)
self.assertEqual(extended_org.members[0]._id, member_user_id)
self.assertEqual(1, len(extended_org.open_requests))
self.assertTrue(len(extended_site.deployments)>0)
self.assertEqual(len(extended_site.deployments), len(extended_site.deployment_info))
#test the extended resource of the ION org
ion_org_id = self.org_management_service.find_org()
extended_org = self.OMS.get_marine_facility_extension(ion_org_id._id, user_id=12345)
log.debug("test_observatory_org_extended: extended_ION_org: %s ", str(extended_org))
self.assertEqual(1, len(extended_org.members))
self.assertEqual(0, extended_org.number_of_platforms)
#self.assertEqual(1, len(extended_org.sites))
#--------------------------------------------------------------------------------
# Get the extended Site
#--------------------------------------------------------------------------------
#create device state events to use for op /non-op filtering in extended
t = get_ion_ts()
self.event_publisher.publish_event( ts_created= t, event_type = 'ResourceAgentStateEvent',
origin = stuff.instrument_device_id, state=ResourceAgentState.STREAMING )
self.event_publisher.publish_event( ts_created= t, event_type = 'ResourceAgentStateEvent',
origin = stuff.instrument_device2_id, state=ResourceAgentState.INACTIVE )
extended_site = self.OMS.get_site_extension(stuff.instrument_site2_id)
log.debug("test_observatory_org_extended: extended_site: %s ", str(extended_site))
self.dpclient.delete_data_product(data_product_id1)
class TestAgentLaunchOps(IonIntegrationTestCase):
def setUp(self):
# Start container
#print 'instantiating container'
self._start_container()
#container = Container()
#print 'starting container'
#container.start()
#print 'started container'
unittest # suppress an pycharm inspector error if all unittest.skip references are commented out
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
self.RR = ResourceRegistryServiceClient(node=self.container.node)
self.IMS = InstrumentManagementServiceClient(node=self.container.node)
self.IDS = IdentityManagementServiceClient(node=self.container.node)
self.PSC = PubsubManagementServiceClient(node=self.container.node)
self.DP = DataProductManagementServiceClient(node=self.container.node)
self.DAMS = DataAcquisitionManagementServiceClient(
node=self.container.node)
self.DSC = DatasetManagementServiceClient(node=self.container.node)
self.PDC = ProcessDispatcherServiceClient(node=self.container.node)
self.OMS = ObservatoryManagementServiceClient(node=self.container.node)
self.RR2 = EnhancedResourceRegistryClient(self.RR)
# @unittest.skip('this test just for debugging setup')
# def test_just_the_setup(self):
# return
def test_get_agent_client_noprocess(self):
inst_device_id = self.RR2.create(any_old(RT.InstrumentDevice))
iap = ResourceAgentClient._get_agent_process_id(inst_device_id)
# should be no running agent
self.assertIsNone(iap)
# should raise NotFound
self.assertRaises(NotFound, ResourceAgentClient, inst_device_id)
def test_resource_state_save_restore(self):
# Create InstrumentModel
instModel_obj = IonObject(RT.InstrumentModel,
name='SBE37IMModel',
description="SBE37IMModel")
instModel_id = self.IMS.create_instrument_model(instModel_obj)
log.debug('new InstrumentModel id = %s ', instModel_id)
# Create InstrumentAgent
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.IMS.create_instrument_agent(instAgent_obj)
log.debug('new InstrumentAgent id = %s', instAgent_id)
self.IMS.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.IMS.create_instrument_device(
instrument_device=instDevice_obj)
self.IMS.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.IMS.create_instrument_agent_instance(
instAgentInstance_obj, instAgent_id, instDevice_id)
tdom, sdom = time_series_domain()
sdom = sdom.dump()
tdom = tdom.dump()
spdict_id = self.DSC.read_parameter_dictionary_by_name(
'ctd_parsed_param_dict', id_only=True)
parsed_stream_def_id = self.PSC.create_stream_definition(
name='parsed', parameter_dictionary_id=spdict_id)
rpdict_id = self.DSC.read_parameter_dictionary_by_name(
'ctd_raw_param_dict', id_only=True)
raw_stream_def_id = self.PSC.create_stream_definition(
name='raw', parameter_dictionary_id=rpdict_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.DP.create_data_product(
data_product=dp_obj, stream_definition_id=parsed_stream_def_id)
log.debug('new dp_id = %s', data_product_id1)
self.DAMS.assign_data_product(input_resource_id=instDevice_id,
data_product_id=data_product_id1)
self.DP.activate_data_product_persistence(
data_product_id=data_product_id1)
self.addCleanup(self.DP.suspend_data_product_persistence,
data_product_id1)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.RR.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.RR.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]
#create the datastore at the beginning of each int test that persists data
dp_obj = IonObject(RT.DataProduct,
name='the raw data',
description='raw stream test',
temporal_domain=tdom,
spatial_domain=sdom)
data_product_id2 = self.DP.create_data_product(
data_product=dp_obj, stream_definition_id=raw_stream_def_id)
log.debug('new dp_id = %s', str(data_product_id2))
self.DAMS.assign_data_product(input_resource_id=instDevice_id,
data_product_id=data_product_id2)
self.DP.activate_data_product_persistence(
data_product_id=data_product_id2)
self.addCleanup(self.DP.suspend_data_product_persistence,
data_product_id2)
# spin up agent
self.IMS.start_instrument_agent_instance(
instrument_agent_instance_id=instAgentInstance_id)
self.addCleanup(self.IMS.stop_instrument_agent_instance,
instrument_agent_instance_id=instAgentInstance_id)
#wait for start
instance_obj = self.IMS.read_instrument_agent_instance(
instAgentInstance_id)
gate = AgentProcessStateGate(self.PDC.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)
# take snapshot of config
snap_id = self.IMS.save_resource_state(instDevice_id, "xyzzy snapshot")
snap_obj = self.RR.read_attachment(snap_id, include_content=True)
#modify config
instance_obj.driver_config["comms_config"] = "BAD_DATA"
self.RR.update(instance_obj)
#restore config
self.IMS.restore_resource_state(instDevice_id, snap_id)
instance_obj = self.RR.read(instAgentInstance_id)
if "BAD_DATA" == instance_obj.driver_config["comms_config"]:
print "Saved config:"
print snap_obj.content
self.fail("Saved config was not properly restored")
self.assertNotEqual("BAD_DATA",
instance_obj.driver_config["comms_config"])
self.DP.delete_data_product(data_product_id1)
self.DP.delete_data_product(data_product_id2)
def test_agent_instance_config_hasDevice(self):
def assign_fn(child_device_id, parent_device_id):
self.RR2.create_association(parent_device_id, PRED.hasDevice,
child_device_id)
def find_fn(parent_device_id):
ret, _ = self.RR.find_objects(subject=parent_device_id,
predicate=PRED.hasDevice,
id_only=True)
return ret
self.base_agent_instance_config(assign_fn, find_fn)
log.info("END test_agent_instance_config_hasDevice")
def test_agent_instance_config_hasNetworkParent(self):
def assign_fn(child_device_id, parent_device_id):
self.RR2.create_association(child_device_id, PRED.hasNetworkParent,
parent_device_id)
def find_fn(parent_device_id):
ret, _ = self.RR.find_subjects(object=parent_device_id,
predicate=PRED.hasNetworkParent,
id_only=True)
return ret
self.base_agent_instance_config(assign_fn, find_fn)
log.info("END test_agent_instance_config_hasNetworkParent")
def base_agent_instance_config(
self, assign_child_platform_to_parent_platform_fn,
find_child_platform_ids_of_parent_platform_fn):
"""
Verify that agent configurations are being built properly
"""
clients = DotDict()
clients.resource_registry = self.RR
clients.pubsub_management = self.PSC
clients.dataset_management = self.DSC
config_builder = DotDict
config_builder.i = None
config_builder.p = None
def refresh_pconfig_builder_hack(config_builder):
"""
ugly hack to get around "idempotent" RR2 caching
remove after https://github.com/ooici/coi-services/pull/1190
"""
config_builder.p = PlatformAgentConfigurationBuilder(clients)
def refresh_iconfig_builder_hack(config_builder):
"""
ugly hack to get around "idempotent" RR2 caching
remove after https://github.com/ooici/coi-services/pull/1190
"""
config_builder.i = InstrumentAgentConfigurationBuilder(clients)
tdom, sdom = time_series_domain()
sdom = sdom.dump()
tdom = tdom.dump()
org_obj = any_old(RT.Org)
org_id = self.RR2.create(org_obj)
inst_startup_config = {'startup': 'config'}
generic_alerts_config = [{'lvl2': 'lvl3val'}]
required_config_keys = [
'org_governance_name', 'device_type', 'agent', 'driver_config',
'stream_config', 'startup_config', 'aparam_alerts_config',
'children'
]
def verify_instrument_config(config, device_id):
for key in required_config_keys:
self.assertIn(key, config)
self.assertEqual(org_obj.org_governance_name,
config['org_governance_name'])
self.assertEqual(RT.InstrumentDevice, config['device_type'])
self.assertIn('driver_config', config)
driver_config = config['driver_config']
expected_driver_fields = {
'process_type': ('ZMQPyClassDriverLauncher', ),
}
for k, v in expected_driver_fields.iteritems():
self.assertIn(k, driver_config)
self.assertEqual(v, driver_config[k])
self.assertEqual
self.assertEqual({'resource_id': device_id}, config['agent'])
self.assertEqual(inst_startup_config, config['startup_config'])
self.assertIn('aparam_alerts_config', config)
self.assertEqual(generic_alerts_config,
config['aparam_alerts_config'])
self.assertIn('stream_config', config)
for key in ['children']:
self.assertEqual({}, config[key])
def verify_child_config(config, device_id, inst_device_id=None):
for key in required_config_keys:
self.assertIn(key, config)
self.assertEqual(org_obj.org_governance_name,
config['org_governance_name'])
self.assertEqual(RT.PlatformDevice, config['device_type'])
self.assertEqual({'resource_id': device_id}, config['agent'])
self.assertIn('aparam_alerts_config', config)
self.assertEqual(generic_alerts_config,
config['aparam_alerts_config'])
self.assertIn('stream_config', config)
self.assertIn('driver_config', config)
self.assertIn('foo', config['driver_config'])
self.assertEqual('bar', config['driver_config']['foo'])
self.assertIn('process_type', config['driver_config'])
self.assertEqual(('ZMQPyClassDriverLauncher', ),
config['driver_config']['process_type'])
if None is inst_device_id:
for key in ['children', 'startup_config']:
self.assertEqual({}, config[key])
else:
for key in ['startup_config']:
self.assertEqual({}, config[key])
self.assertIn(inst_device_id, config['children'])
verify_instrument_config(config['children'][inst_device_id],
inst_device_id)
def verify_parent_config(config,
parent_device_id,
child_device_id,
inst_device_id=None):
for key in required_config_keys:
self.assertIn(key, config)
self.assertEqual(org_obj.org_governance_name,
config['org_governance_name'])
self.assertEqual(RT.PlatformDevice, config['device_type'])
self.assertIn('process_type', config['driver_config'])
self.assertEqual(('ZMQPyClassDriverLauncher', ),
config['driver_config']['process_type'])
self.assertEqual({'resource_id': parent_device_id},
config['agent'])
self.assertIn('aparam_alerts_config', config)
self.assertEqual(generic_alerts_config,
config['aparam_alerts_config'])
self.assertIn('stream_config', config)
for key in ['startup_config']:
self.assertEqual({}, config[key])
self.assertIn(child_device_id, config['children'])
verify_child_config(config['children'][child_device_id],
child_device_id, inst_device_id)
rpdict_id = self.DSC.read_parameter_dictionary_by_name(
'ctd_raw_param_dict', id_only=True)
raw_stream_def_id = self.PSC.create_stream_definition(
name='raw', parameter_dictionary_id=rpdict_id)
#todo: create org and figure out which agent resource needs to get assigned to it
def _make_platform_agent_structure(agent_config=None):
if None is agent_config: agent_config = {}
# instance creation
platform_agent_instance_obj = any_old(
RT.PlatformAgentInstance, {
'driver_config': {
'foo': 'bar'
},
'alerts': generic_alerts_config
})
platform_agent_instance_obj.agent_config = agent_config
platform_agent_instance_id = self.IMS.create_platform_agent_instance(
platform_agent_instance_obj)
# agent creation
raw_config = StreamConfiguration(
stream_name='raw',
parameter_dictionary_name='ctd_raw_param_dict')
platform_agent_obj = any_old(
RT.PlatformAgent, {"stream_configurations": [raw_config]})
platform_agent_id = self.IMS.create_platform_agent(
platform_agent_obj)
# device creation
platform_device_id = self.IMS.create_platform_device(
any_old(RT.PlatformDevice))
# data product creation
dp_obj = any_old(RT.DataProduct, {
"temporal_domain": tdom,
"spatial_domain": sdom
})
dp_id = self.DP.create_data_product(
data_product=dp_obj, stream_definition_id=raw_stream_def_id)
self.DAMS.assign_data_product(input_resource_id=platform_device_id,
data_product_id=dp_id)
self.DP.activate_data_product_persistence(data_product_id=dp_id)
self.addCleanup(self.DP.suspend_data_product_persistence, dp_id)
# assignments
self.RR2.assign_platform_agent_instance_to_platform_device_with_has_agent_instance(
platform_agent_instance_id, platform_device_id)
self.RR2.assign_platform_agent_to_platform_agent_instance_with_has_agent_definition(
platform_agent_id, platform_agent_instance_id)
self.RR2.assign_platform_device_to_org_with_has_resource(
platform_agent_instance_id, org_id)
return platform_agent_instance_id, platform_agent_id, platform_device_id
def _make_instrument_agent_structure(agent_config=None):
if None is agent_config: agent_config = {}
# instance creation
instrument_agent_instance_obj = any_old(
RT.InstrumentAgentInstance, {
"startup_config": inst_startup_config,
'alerts': generic_alerts_config
})
instrument_agent_instance_obj.agent_config = agent_config
instrument_agent_instance_id = self.IMS.create_instrument_agent_instance(
instrument_agent_instance_obj)
# agent creation
raw_config = StreamConfiguration(
stream_name='raw',
parameter_dictionary_name='ctd_raw_param_dict')
instrument_agent_obj = any_old(
RT.InstrumentAgent, {"stream_configurations": [raw_config]})
instrument_agent_id = self.IMS.create_instrument_agent(
instrument_agent_obj)
# device creation
instrument_device_id = self.IMS.create_instrument_device(
any_old(RT.InstrumentDevice))
# data product creation
dp_obj = any_old(RT.DataProduct, {
"temporal_domain": tdom,
"spatial_domain": sdom
})
dp_id = self.DP.create_data_product(
data_product=dp_obj, stream_definition_id=raw_stream_def_id)
self.DAMS.assign_data_product(
input_resource_id=instrument_device_id, data_product_id=dp_id)
self.DP.activate_data_product_persistence(data_product_id=dp_id)
self.addCleanup(self.DP.suspend_data_product_persistence, dp_id)
# assignments
self.RR2.assign_instrument_agent_instance_to_instrument_device_with_has_agent_instance(
instrument_agent_instance_id, instrument_device_id)
self.RR2.assign_instrument_agent_to_instrument_agent_instance_with_has_agent_definition(
instrument_agent_id, instrument_agent_instance_id)
self.RR2.assign_instrument_device_to_org_with_has_resource(
instrument_agent_instance_id, org_id)
return instrument_agent_instance_id, instrument_agent_id, instrument_device_id
# can't do anything without an agent instance obj
log.debug(
"Testing that preparing a launcher without agent instance raises an error"
)
refresh_pconfig_builder_hack(
config_builder
) # associations have changed since builder was instantiated
self.assertRaises(AssertionError,
config_builder.p.prepare,
will_launch=False)
log.debug(
"Making the structure for a platform agent, which will be the child"
)
platform_agent_instance_child_id, _, platform_device_child_id = _make_platform_agent_structure(
)
platform_agent_instance_child_obj = self.RR2.read(
platform_agent_instance_child_id)
log.debug("Preparing a valid agent instance launch, for config only")
refresh_pconfig_builder_hack(
config_builder
) # associations have changed since builder was instantiated
config_builder.p.set_agent_instance_object(
platform_agent_instance_child_obj)
child_config = config_builder.p.prepare(will_launch=False)
verify_child_config(child_config, platform_device_child_id)
log.debug(
"Making the structure for a platform agent, which will be the parent"
)
platform_agent_instance_parent_id, _, platform_device_parent_id = _make_platform_agent_structure(
)
platform_agent_instance_parent_obj = self.RR2.read(
platform_agent_instance_parent_id)
log.debug("Testing child-less parent as a child config")
refresh_pconfig_builder_hack(
config_builder
) # associations have changed since builder was instantiated
config_builder.p.set_agent_instance_object(
platform_agent_instance_parent_obj)
parent_config = config_builder.p.prepare(will_launch=False)
verify_child_config(parent_config, platform_device_parent_id)
log.debug("assigning child platform to parent")
assign_child_platform_to_parent_platform_fn(platform_device_child_id,
platform_device_parent_id)
child_device_ids = find_child_platform_ids_of_parent_platform_fn(
platform_device_parent_id)
self.assertNotEqual(0, len(child_device_ids))
log.debug("Testing parent + child as parent config")
refresh_pconfig_builder_hack(
config_builder
) # associations have changed since builder was instantiated
config_builder.p.set_agent_instance_object(
platform_agent_instance_parent_obj)
parent_config = config_builder.p.prepare(will_launch=False)
verify_parent_config(parent_config, platform_device_parent_id,
platform_device_child_id)
log.debug("making the structure for an instrument agent")
instrument_agent_instance_id, _, instrument_device_id = _make_instrument_agent_structure(
)
instrument_agent_instance_obj = self.RR2.read(
instrument_agent_instance_id)
log.debug("Testing instrument config")
refresh_iconfig_builder_hack(
config_builder
) # associations have changed since builder was instantiated
config_builder.i.set_agent_instance_object(
instrument_agent_instance_obj)
instrument_config = config_builder.i.prepare(will_launch=False)
verify_instrument_config(instrument_config, instrument_device_id)
log.debug("assigning instrument to platform")
self.RR2.assign_instrument_device_to_platform_device_with_has_device(
instrument_device_id, platform_device_child_id)
child_device_ids = self.RR2.find_instrument_device_ids_of_platform_device_using_has_device(
platform_device_child_id)
self.assertNotEqual(0, len(child_device_ids))
log.debug("Testing entire config")
refresh_pconfig_builder_hack(
config_builder
) # associations have changed since builder was instantiated
config_builder.p.set_agent_instance_object(
platform_agent_instance_parent_obj)
full_config = config_builder.p.prepare(will_launch=False)
verify_parent_config(full_config, platform_device_parent_id,
platform_device_child_id, instrument_device_id)
#self.fail(parent_config)
#plauncher.prepare(will_launch=False)
log.info("END base_agent_instance_config")
def _setup_resources(self):
# TODO: some or all of this (or some variation) should move to DAMS'
# Build the test resources for the dataset
dams_cli = DataAcquisitionManagementServiceClient()
dpms_cli = DataProductManagementServiceClient()
rr_cli = ResourceRegistryServiceClient()
eda = ExternalDatasetAgent()
eda_id = dams_cli.create_external_dataset_agent(eda)
eda_inst = ExternalDatasetAgentInstance()
eda_inst_id = dams_cli.create_external_dataset_agent_instance(
eda_inst, external_dataset_agent_id=eda_id)
# Create and register the necessary resources/objects
# Create DataProvider
dprov = ExternalDataProvider(institution=Institution(),
contact=ContactInformation())
dprov.contact.name = 'Christopher Mueller'
dprov.contact.email = '*****@*****.**'
# Create DataSource
dsrc = DataSource(protocol_type='DAP',
institution=Institution(),
contact=ContactInformation())
dsrc.connection_params['base_data_url'] = ''
dsrc.contact.name = 'Tim Giguere'
dsrc.contact.email = '*****@*****.**'
# Create ExternalDataset
ds_name = 'usgs_test_dataset'
dset = ExternalDataset(name=ds_name,
dataset_description=DatasetDescription(),
update_description=UpdateDescription(),
contact=ContactInformation())
# The usgs.nc test dataset is a download of the R1 dataset found here:
# http://thredds-test.oceanobservatories.org/thredds/dodsC/ooiciData/E66B1A74-A684-454A-9ADE-8388C2C634E5.ncml
dset.dataset_description.parameters[
'dataset_path'] = 'test_data/usgs.nc'
dset.dataset_description.parameters['temporal_dimension'] = 'time'
dset.dataset_description.parameters['zonal_dimension'] = 'lon'
dset.dataset_description.parameters['meridional_dimension'] = 'lat'
dset.dataset_description.parameters['vertical_dimension'] = 'z'
dset.dataset_description.parameters['variables'] = [
'water_temperature',
'streamflow',
'water_temperature_bottom',
'water_temperature_middle',
'specific_conductance',
'data_qualifier',
]
# Create DataSourceModel
dsrc_model = DataSourceModel(name='dap_model')
dsrc_model.model = 'DAP'
dsrc_model.data_handler_module = 'N/A'
dsrc_model.data_handler_class = 'N/A'
## Run everything through DAMS
ds_id = dams_cli.create_external_dataset(external_dataset=dset)
ext_dprov_id = dams_cli.create_external_data_provider(
external_data_provider=dprov)
ext_dsrc_id = dams_cli.create_data_source(data_source=dsrc)
ext_dsrc_model_id = dams_cli.create_data_source_model(dsrc_model)
# Register the ExternalDataset
dproducer_id = dams_cli.register_external_data_set(
external_dataset_id=ds_id)
# Or using each method
dams_cli.assign_data_source_to_external_data_provider(
data_source_id=ext_dsrc_id, external_data_provider_id=ext_dprov_id)
dams_cli.assign_data_source_to_data_model(
data_source_id=ext_dsrc_id, data_source_model_id=ext_dsrc_model_id)
dams_cli.assign_external_dataset_to_data_source(
external_dataset_id=ds_id, data_source_id=ext_dsrc_id)
dams_cli.assign_external_dataset_to_agent_instance(
external_dataset_id=ds_id, agent_instance_id=eda_inst_id)
# dams_cli.assign_external_data_agent_to_agent_instance(external_data_agent_id=self.eda_id, agent_instance_id=self.eda_inst_id)
# Generate the data product and associate it to the ExternalDataset
dprod = DataProduct(name='usgs_parsed_product',
description='parsed usgs product')
dproduct_id = dpms_cli.create_data_product(data_product=dprod)
dams_cli.assign_data_product(input_resource_id=ds_id,
data_product_id=dproduct_id,
create_stream=True)
stream_id, assn = rr_cli.find_objects(subject=dproduct_id,
predicate=PRED.hasStream,
object_type=RT.Stream,
id_only=True)
stream_id = stream_id[0]
log.info('Created resources: {0}'.format({
'ExternalDataset': ds_id,
'ExternalDataProvider': ext_dprov_id,
'DataSource': ext_dsrc_id,
'DataSourceModel': ext_dsrc_model_id,
'DataProducer': dproducer_id,
'DataProduct': dproduct_id,
'Stream': stream_id
}))
#CBM: Use CF standard_names
ttool = TaxyTool()
ttool.add_taxonomy_set('time', 'time')
ttool.add_taxonomy_set('lon', 'longitude')
ttool.add_taxonomy_set('lat', 'latitude')
ttool.add_taxonomy_set('z', 'water depth')
ttool.add_taxonomy_set('water_temperature',
'average water temperature')
ttool.add_taxonomy_set('water_temperature_bottom',
'water temperature at bottom of water column')
ttool.add_taxonomy_set('water_temperature_middle',
'water temperature at middle of water column')
ttool.add_taxonomy_set('streamflow', 'flow velocity of stream')
ttool.add_taxonomy_set('specific_conductance',
'specific conductance of water')
ttool.add_taxonomy_set('data_qualifier', 'data qualifier flag')
ttool.add_taxonomy_set('coords',
'This group contains coordinate parameters')
ttool.add_taxonomy_set('data', 'This group contains data parameters')
# Create the logger for receiving publications
self.create_stream_and_logger(name='usgs', stream_id=stream_id)
self.EDA_RESOURCE_ID = ds_id
self.EDA_NAME = ds_name
self.DVR_CONFIG['dh_cfg'] = {
'TESTING': True,
'stream_id': stream_id,
'taxonomy': ttool.dump(),
'data_producer_id':
dproducer_id, #CBM: Should this be put in the main body of the config - with mod & cls?
'max_records': 4,
}
class TestDMEnd2End(IonIntegrationTestCase):
def setUp(self): # Love the non pep-8 convention
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
self.process_dispatcher = ProcessDispatcherServiceClient()
self.pubsub_management = PubsubManagementServiceClient()
self.resource_registry = ResourceRegistryServiceClient()
self.dataset_management = DatasetManagementServiceClient()
self.ingestion_management = IngestionManagementServiceClient()
self.data_retriever = DataRetrieverServiceClient()
self.pids = []
self.event = Event()
self.exchange_space_name = 'test_granules'
self.exchange_point_name = 'science_data'
self.i = 0
self.purge_queues()
self.queue_buffer = []
self.streams = []
self.addCleanup(self.stop_all_ingestion)
def purge_queues(self):
xn = self.container.ex_manager.create_xn_queue('science_granule_ingestion')
xn.purge()
def tearDown(self):
self.purge_queues()
for pid in self.pids:
self.container.proc_manager.terminate_process(pid)
IngestionManagementIntTest.clean_subscriptions()
for queue in self.queue_buffer:
if isinstance(queue, ExchangeNameQueue):
queue.delete()
elif isinstance(queue, str):
xn = self.container.ex_manager.create_xn_queue(queue)
xn.delete()
#--------------------------------------------------------------------------------
# Helper/Utility methods
#--------------------------------------------------------------------------------
def create_dataset(self, parameter_dict_id=''):
'''
Creates a time-series dataset
'''
tdom, sdom = time_series_domain()
sdom = sdom.dump()
tdom = tdom.dump()
if not parameter_dict_id:
parameter_dict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
dataset_id = self.dataset_management.create_dataset('test_dataset_%i'%self.i, parameter_dictionary_id=parameter_dict_id, spatial_domain=sdom, temporal_domain=tdom)
return dataset_id
def get_datastore(self, dataset_id):
'''
Gets an instance of the datastore
This method is primarily used to defeat a bug where integration tests in multiple containers may sometimes
delete a CouchDB datastore and the other containers are unaware of the new state of the datastore.
'''
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 get_ingestion_config(self):
'''
Grab the ingestion configuration from the resource registry
'''
# The ingestion configuration should have been created by the bootstrap service
# which is configured through r2deploy.yml
ingest_configs, _ = self.resource_registry.find_resources(restype=RT.IngestionConfiguration,id_only=True)
return ingest_configs[0]
def launch_producer(self, stream_id=''):
'''
Launch the producer
'''
pid = self.container.spawn_process('better_data_producer', 'ion.processes.data.example_data_producer', 'BetterDataProducer', {'process':{'stream_id':stream_id}})
self.pids.append(pid)
def make_simple_dataset(self):
'''
Makes a stream, a stream definition and a dataset, the essentials for most of these tests
'''
pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
stream_def_id = self.pubsub_management.create_stream_definition('ctd data', parameter_dictionary_id=pdict_id)
stream_id, route = self.pubsub_management.create_stream('ctd stream %i' % self.i, 'xp1', stream_definition_id=stream_def_id)
dataset_id = self.create_dataset(pdict_id)
self.get_datastore(dataset_id)
self.i += 1
return stream_id, route, stream_def_id, dataset_id
def publish_hifi(self,stream_id,stream_route,offset=0):
'''
Publish deterministic data
'''
pub = StandaloneStreamPublisher(stream_id, stream_route)
stream_def = self.pubsub_management.read_stream_definition(stream_id=stream_id)
stream_def_id = stream_def._id
rdt = RecordDictionaryTool(stream_definition_id=stream_def_id)
rdt['time'] = np.arange(10) + (offset * 10)
rdt['temp'] = np.arange(10) + (offset * 10)
pub.publish(rdt.to_granule())
def publish_fake_data(self,stream_id, route):
'''
Make four granules
'''
for i in xrange(4):
self.publish_hifi(stream_id,route,i)
def start_ingestion(self, stream_id, dataset_id):
'''
Starts ingestion/persistence for a given dataset
'''
ingest_config_id = self.get_ingestion_config()
self.ingestion_management.persist_data_stream(stream_id=stream_id, ingestion_configuration_id=ingest_config_id, dataset_id=dataset_id)
def stop_ingestion(self, stream_id):
ingest_config_id = self.get_ingestion_config()
self.ingestion_management.unpersist_data_stream(stream_id=stream_id, ingestion_configuration_id=ingest_config_id)
def stop_all_ingestion(self):
try:
[self.stop_ingestion(sid) for sid in self.streams]
except:
pass
def validate_granule_subscription(self, msg, route, stream_id):
'''
Validation for granule format
'''
if msg == {}:
return
rdt = RecordDictionaryTool.load_from_granule(msg)
log.info('%s', rdt.pretty_print())
self.assertIsInstance(msg,Granule,'Message is improperly formatted. (%s)' % type(msg))
self.event.set()
def wait_until_we_have_enough_granules(self, dataset_id='',data_size=40):
'''
Loops until there is a sufficient amount of data in the dataset
'''
done = False
with gevent.Timeout(40):
while not done:
extents = self.dataset_management.dataset_extents(dataset_id, 'time')[0]
granule = self.data_retriever.retrieve_last_data_points(dataset_id, 1)
rdt = RecordDictionaryTool.load_from_granule(granule)
if rdt['time'] and rdt['time'][0] != rdt._pdict.get_context('time').fill_value and extents >= data_size:
done = True
else:
gevent.sleep(0.2)
#--------------------------------------------------------------------------------
# Test Methods
#--------------------------------------------------------------------------------
@attr('SMOKE')
def test_dm_end_2_end(self):
#--------------------------------------------------------------------------------
# Set up a stream and have a mock instrument (producer) send data
#--------------------------------------------------------------------------------
self.event.clear()
# Get a precompiled parameter dictionary with basic ctd fields
pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict',id_only=True)
context_ids = self.dataset_management.read_parameter_contexts(pdict_id, id_only=True)
# Add a field that supports binary data input.
bin_context = ParameterContext('binary', param_type=ArrayType())
context_ids.append(self.dataset_management.create_parameter_context('binary', bin_context.dump()))
# Add another field that supports dictionary elements.
rec_context = ParameterContext('records', param_type=RecordType())
context_ids.append(self.dataset_management.create_parameter_context('records', rec_context.dump()))
pdict_id = self.dataset_management.create_parameter_dictionary('replay_pdict', parameter_context_ids=context_ids, temporal_context='time')
stream_definition = self.pubsub_management.create_stream_definition('ctd data', parameter_dictionary_id=pdict_id)
stream_id, route = self.pubsub_management.create_stream('producer', exchange_point=self.exchange_point_name, stream_definition_id=stream_definition)
#--------------------------------------------------------------------------------
# Start persisting the data on the stream
# - Get the ingestion configuration from the resource registry
# - Create the dataset
# - call persist_data_stream to setup the subscription for the ingestion workers
# on the stream that you specify which causes the data to be persisted
#--------------------------------------------------------------------------------
ingest_config_id = self.get_ingestion_config()
dataset_id = self.create_dataset(pdict_id)
self.ingestion_management.persist_data_stream(stream_id=stream_id, ingestion_configuration_id=ingest_config_id, dataset_id=dataset_id)
#--------------------------------------------------------------------------------
# Now the granules are ingesting and persisted
#--------------------------------------------------------------------------------
self.launch_producer(stream_id)
self.wait_until_we_have_enough_granules(dataset_id,40)
#--------------------------------------------------------------------------------
# Now get the data in one chunk using an RPC Call to start_retreive
#--------------------------------------------------------------------------------
replay_data = self.data_retriever.retrieve(dataset_id)
self.assertIsInstance(replay_data, Granule)
rdt = RecordDictionaryTool.load_from_granule(replay_data)
self.assertTrue((rdt['time'][:10] == np.arange(10)).all(),'%s' % rdt['time'][:])
self.assertTrue((rdt['binary'][:10] == np.array(['hi']*10, dtype='object')).all())
#--------------------------------------------------------------------------------
# Now to try the streamed approach
#--------------------------------------------------------------------------------
replay_stream_id, replay_route = self.pubsub_management.create_stream('replay_out', exchange_point=self.exchange_point_name, stream_definition_id=stream_definition)
self.replay_id, process_id = self.data_retriever.define_replay(dataset_id=dataset_id, stream_id=replay_stream_id)
log.info('Process ID: %s', process_id)
replay_client = ReplayClient(process_id)
#--------------------------------------------------------------------------------
# Create the listening endpoint for the the retriever to talk to
#--------------------------------------------------------------------------------
xp = self.container.ex_manager.create_xp(self.exchange_point_name)
subscriber = StandaloneStreamSubscriber(self.exchange_space_name, self.validate_granule_subscription)
self.queue_buffer.append(self.exchange_space_name)
subscriber.start()
subscriber.xn.bind(replay_route.routing_key, xp)
self.data_retriever.start_replay_agent(self.replay_id)
self.assertTrue(replay_client.await_agent_ready(5), 'The process never launched')
replay_client.start_replay()
self.assertTrue(self.event.wait(10))
subscriber.stop()
self.data_retriever.cancel_replay_agent(self.replay_id)
#--------------------------------------------------------------------------------
# Test the slicing capabilities
#--------------------------------------------------------------------------------
granule = self.data_retriever.retrieve(dataset_id=dataset_id, query={'tdoa':slice(0,5)})
rdt = RecordDictionaryTool.load_from_granule(granule)
b = rdt['time'] == np.arange(5)
self.assertTrue(b.all() if not isinstance(b,bool) else b)
self.streams.append(stream_id)
self.stop_ingestion(stream_id)
def test_coverage_transform(self):
ph = ParameterHelper(self.dataset_management, self.addCleanup)
pdict_id = ph.create_parsed()
stream_def_id = self.pubsub_management.create_stream_definition('ctd parsed', parameter_dictionary_id=pdict_id)
self.addCleanup(self.pubsub_management.delete_stream_definition, stream_def_id)
stream_id, route = self.pubsub_management.create_stream('example', exchange_point=self.exchange_point_name, stream_definition_id=stream_def_id)
self.addCleanup(self.pubsub_management.delete_stream, stream_id)
ingestion_config_id = self.get_ingestion_config()
dataset_id = self.create_dataset(pdict_id)
self.ingestion_management.persist_data_stream(stream_id=stream_id, ingestion_configuration_id=ingestion_config_id, dataset_id=dataset_id)
self.addCleanup(self.ingestion_management.unpersist_data_stream, stream_id, ingestion_config_id)
publisher = StandaloneStreamPublisher(stream_id, route)
rdt = ph.get_rdt(stream_def_id)
ph.fill_parsed_rdt(rdt)
dataset_monitor = DatasetMonitor(dataset_id)
self.addCleanup(dataset_monitor.stop)
publisher.publish(rdt.to_granule())
self.assertTrue(dataset_monitor.event.wait(30))
replay_granule = self.data_retriever.retrieve(dataset_id)
rdt_out = RecordDictionaryTool.load_from_granule(replay_granule)
np.testing.assert_array_almost_equal(rdt_out['time'], rdt['time'])
np.testing.assert_array_almost_equal(rdt_out['temp'], rdt['temp'])
np.testing.assert_array_almost_equal(rdt_out['conductivity_L1'], np.array([42.914]))
np.testing.assert_array_almost_equal(rdt_out['temp_L1'], np.array([20.]))
np.testing.assert_array_almost_equal(rdt_out['pressure_L1'], np.array([3.068]))
np.testing.assert_array_almost_equal(rdt_out['density'], np.array([1021.7144739593881]))
np.testing.assert_array_almost_equal(rdt_out['salinity'], np.array([30.935132729668283]))
def test_qc_events(self):
ph = ParameterHelper(self.dataset_management, self.addCleanup)
pdict_id = ph.create_qc_pdict()
stream_def_id = self.pubsub_management.create_stream_definition('qc stream def', parameter_dictionary_id=pdict_id)
self.addCleanup(self.pubsub_management.delete_stream_definition, stream_def_id)
stream_id, route = self.pubsub_management.create_stream('qc stream', exchange_point=self.exchange_point_name, stream_definition_id=stream_def_id)
self.addCleanup(self.pubsub_management.delete_stream, stream_id)
ingestion_config_id = self.get_ingestion_config()
dataset_id = self.create_dataset(pdict_id)
config = DotDict()
self.ingestion_management.persist_data_stream(stream_id=stream_id, ingestion_configuration_id=ingestion_config_id, dataset_id=dataset_id, config=config)
self.addCleanup(self.ingestion_management.unpersist_data_stream, stream_id, ingestion_config_id)
publisher = StandaloneStreamPublisher(stream_id, route)
rdt = RecordDictionaryTool(stream_definition_id=stream_def_id)
rdt['time'] = np.arange(10)
rdt['temp'] = np.arange(10) * 3
verified = Event()
def verification(event, *args, **kwargs):
self.assertEquals(event.qc_parameter, 'temp_qc')
self.assertEquals(event.temporal_value, 7)
verified.set()
es = EventSubscriber(event_type=OT.ParameterQCEvent, origin=dataset_id, callback=verification, auto_delete=True)
es.start()
self.addCleanup(es.stop)
publisher.publish(rdt.to_granule())
self.assertTrue(verified.wait(10))
def test_lookup_values_ingest_replay(self):
ph = ParameterHelper(self.dataset_management, self.addCleanup)
pdict_id = ph.create_lookups()
stream_def_id = self.pubsub_management.create_stream_definition('lookups', parameter_dictionary_id=pdict_id)
self.addCleanup(self.pubsub_management.delete_stream_definition, stream_def_id)
stream_id, route = self.pubsub_management.create_stream('example', exchange_point=self.exchange_point_name, stream_definition_id=stream_def_id)
self.addCleanup(self.pubsub_management.delete_stream, stream_id)
ingestion_config_id = self.get_ingestion_config()
dataset_id = self.create_dataset(pdict_id)
config = DotDict()
config.process.lookup_docs = ['test1', 'test2']
self.ingestion_management.persist_data_stream(stream_id=stream_id, ingestion_configuration_id=ingestion_config_id, dataset_id=dataset_id, config=config)
self.addCleanup(self.ingestion_management.unpersist_data_stream, stream_id, ingestion_config_id)
stored_value_manager = StoredValueManager(self.container)
stored_value_manager.stored_value_cas('test1',{'offset_a':10.0, 'offset_b':13.1})
publisher = StandaloneStreamPublisher(stream_id, route)
rdt = RecordDictionaryTool(stream_definition_id=stream_def_id)
rdt['time'] = np.arange(20)
rdt['temp'] = [20.0] * 20
granule = rdt.to_granule()
dataset_monitor = DatasetMonitor(dataset_id)
self.addCleanup(dataset_monitor.stop)
publisher.publish(granule)
self.assertTrue(dataset_monitor.event.wait(30))
replay_granule = self.data_retriever.retrieve(dataset_id)
rdt_out = RecordDictionaryTool.load_from_granule(replay_granule)
np.testing.assert_array_almost_equal(rdt_out['time'], np.arange(20))
np.testing.assert_array_almost_equal(rdt_out['temp'], np.array([20.] * 20))
np.testing.assert_array_almost_equal(rdt_out['calibrated'], np.array([30.]*20))
np.testing.assert_array_equal(rdt_out['offset_b'], np.array([rdt_out.fill_value('offset_b')] * 20))
rdt = RecordDictionaryTool(stream_definition_id=stream_def_id)
rdt['time'] = np.arange(20,40)
rdt['temp'] = [20.0] * 20
granule = rdt.to_granule()
dataset_monitor.event.clear()
stored_value_manager.stored_value_cas('test1',{'offset_a':20.0})
stored_value_manager.stored_value_cas('coefficient_document',{'offset_b':10.0})
gevent.sleep(2)
publisher.publish(granule)
self.assertTrue(dataset_monitor.event.wait(30))
replay_granule = self.data_retriever.retrieve(dataset_id)
rdt_out = RecordDictionaryTool.load_from_granule(replay_granule)
np.testing.assert_array_almost_equal(rdt_out['time'], np.arange(40))
np.testing.assert_array_almost_equal(rdt_out['temp'], np.array([20.] * 20 + [20.] * 20))
np.testing.assert_array_equal(rdt_out['offset_b'], np.array([10.] * 40))
np.testing.assert_array_almost_equal(rdt_out['calibrated'], np.array([30.]*20 + [40.]*20))
np.testing.assert_array_almost_equal(rdt_out['calibrated_b'], np.array([40.] * 20 + [50.] * 20))
@unittest.skip('Doesnt work')
@attr('LOCOINT')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False), 'Skip test while in CEI LAUNCH mode')
def test_replay_pause(self):
# Get a precompiled parameter dictionary with basic ctd fields
pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict',id_only=True)
context_ids = self.dataset_management.read_parameter_contexts(pdict_id, id_only=True)
# Add a field that supports binary data input.
bin_context = ParameterContext('binary', param_type=ArrayType())
context_ids.append(self.dataset_management.create_parameter_context('binary', bin_context.dump()))
# Add another field that supports dictionary elements.
rec_context = ParameterContext('records', param_type=RecordType())
context_ids.append(self.dataset_management.create_parameter_context('records', rec_context.dump()))
pdict_id = self.dataset_management.create_parameter_dictionary('replay_pdict', parameter_context_ids=context_ids, temporal_context='time')
stream_def_id = self.pubsub_management.create_stream_definition('replay_stream', parameter_dictionary_id=pdict_id)
replay_stream, replay_route = self.pubsub_management.create_stream('replay', 'xp1', stream_definition_id=stream_def_id)
dataset_id = self.create_dataset(pdict_id)
scov = DatasetManagementService._get_simplex_coverage(dataset_id)
bb = CoverageCraft(scov)
bb.rdt['time'] = np.arange(100)
bb.rdt['temp'] = np.random.random(100) + 30
bb.sync_with_granule()
DatasetManagementService._persist_coverage(dataset_id, bb.coverage) # This invalidates it for multi-host configurations
# Set up the subscriber to verify the data
subscriber = StandaloneStreamSubscriber(self.exchange_space_name, self.validate_granule_subscription)
xp = self.container.ex_manager.create_xp('xp1')
self.queue_buffer.append(self.exchange_space_name)
subscriber.start()
subscriber.xn.bind(replay_route.routing_key, xp)
# Set up the replay agent and the client wrapper
# 1) Define the Replay (dataset and stream to publish on)
self.replay_id, process_id = self.data_retriever.define_replay(dataset_id=dataset_id, stream_id=replay_stream)
# 2) Make a client to the interact with the process (optionall provide it a process to bind with)
replay_client = ReplayClient(process_id)
# 3) Start the agent (launch the process)
self.data_retriever.start_replay_agent(self.replay_id)
# 4) Start replaying...
replay_client.start_replay()
# Wait till we get some granules
self.assertTrue(self.event.wait(5))
# We got granules, pause the replay, clear the queue and allow the process to finish consuming
replay_client.pause_replay()
gevent.sleep(1)
subscriber.xn.purge()
self.event.clear()
# Make sure there's no remaining messages being consumed
self.assertFalse(self.event.wait(1))
# Resume the replay and wait until we start getting granules again
replay_client.resume_replay()
self.assertTrue(self.event.wait(5))
# Stop the replay, clear the queues
replay_client.stop_replay()
gevent.sleep(1)
subscriber.xn.purge()
self.event.clear()
# Make sure that it did indeed stop
self.assertFalse(self.event.wait(1))
subscriber.stop()
def test_retrieve_and_transform(self):
# Make a simple dataset and start ingestion, pretty standard stuff.
ctd_stream_id, route, stream_def_id, dataset_id = self.make_simple_dataset()
self.start_ingestion(ctd_stream_id, dataset_id)
# Stream definition for the salinity data
salinity_pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
sal_stream_def_id = self.pubsub_management.create_stream_definition('sal data', parameter_dictionary_id=salinity_pdict_id)
rdt = RecordDictionaryTool(stream_definition_id=stream_def_id)
rdt['time'] = np.arange(10)
rdt['temp'] = np.random.randn(10) * 10 + 30
rdt['conductivity'] = np.random.randn(10) * 2 + 10
rdt['pressure'] = np.random.randn(10) * 1 + 12
publisher = StandaloneStreamPublisher(ctd_stream_id, route)
publisher.publish(rdt.to_granule())
rdt['time'] = np.arange(10,20)
publisher.publish(rdt.to_granule())
self.wait_until_we_have_enough_granules(dataset_id, 20)
granule = self.data_retriever.retrieve(dataset_id,
None,
None,
'ion.processes.data.transforms.ctd.ctd_L2_salinity',
'CTDL2SalinityTransformAlgorithm',
kwargs=dict(params=sal_stream_def_id))
rdt = RecordDictionaryTool.load_from_granule(granule)
for i in rdt['salinity']:
self.assertNotEquals(i,0)
self.streams.append(ctd_stream_id)
self.stop_ingestion(ctd_stream_id)
def test_last_granule(self):
stream_id, route, stream_def_id, dataset_id = self.make_simple_dataset()
self.start_ingestion(stream_id, dataset_id)
self.publish_hifi(stream_id,route, 0)
self.publish_hifi(stream_id,route, 1)
self.wait_until_we_have_enough_granules(dataset_id,20) # I just need two
success = False
def verifier():
replay_granule = self.data_retriever.retrieve_last_data_points(dataset_id, 10)
rdt = RecordDictionaryTool.load_from_granule(replay_granule)
comp = rdt['time'] == np.arange(10) + 10
if not isinstance(comp,bool):
return comp.all()
return False
success = poll(verifier)
self.assertTrue(success)
success = False
def verify_points():
replay_granule = self.data_retriever.retrieve_last_data_points(dataset_id,5)
rdt = RecordDictionaryTool.load_from_granule(replay_granule)
comp = rdt['time'] == np.arange(15,20)
if not isinstance(comp,bool):
return comp.all()
return False
success = poll(verify_points)
self.assertTrue(success)
self.streams.append(stream_id)
self.stop_ingestion(stream_id)
def test_replay_with_parameters(self):
#--------------------------------------------------------------------------------
# Create the configurations and the dataset
#--------------------------------------------------------------------------------
# Get a precompiled parameter dictionary with basic ctd fields
pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict',id_only=True)
context_ids = self.dataset_management.read_parameter_contexts(pdict_id, id_only=True)
# Add a field that supports binary data input.
bin_context = ParameterContext('binary', param_type=ArrayType())
context_ids.append(self.dataset_management.create_parameter_context('binary', bin_context.dump()))
# Add another field that supports dictionary elements.
rec_context = ParameterContext('records', param_type=RecordType())
context_ids.append(self.dataset_management.create_parameter_context('records', rec_context.dump()))
pdict_id = self.dataset_management.create_parameter_dictionary('replay_pdict', parameter_context_ids=context_ids, temporal_context='time')
stream_def_id = self.pubsub_management.create_stream_definition('replay_stream', parameter_dictionary_id=pdict_id)
stream_id, route = self.pubsub_management.create_stream('replay_with_params', exchange_point=self.exchange_point_name, stream_definition_id=stream_def_id)
config_id = self.get_ingestion_config()
dataset_id = self.create_dataset(pdict_id)
self.ingestion_management.persist_data_stream(stream_id=stream_id, ingestion_configuration_id=config_id, dataset_id=dataset_id)
dataset_monitor = DatasetMonitor(dataset_id)
self.addCleanup(dataset_monitor.stop)
self.publish_fake_data(stream_id, route)
self.assertTrue(dataset_monitor.event.wait(30))
query = {
'start_time': 0 - 2208988800,
'end_time': 20 - 2208988800,
'stride_time' : 2,
'parameters': ['time','temp']
}
retrieved_data = self.data_retriever.retrieve(dataset_id=dataset_id,query=query)
rdt = RecordDictionaryTool.load_from_granule(retrieved_data)
comp = np.arange(0,20,2) == rdt['time']
self.assertTrue(comp.all(),'%s' % rdt.pretty_print())
self.assertEquals(set(rdt.iterkeys()), set(['time','temp']))
extents = self.dataset_management.dataset_extents(dataset_id=dataset_id, parameters=['time','temp'])
self.assertTrue(extents['time']>=20)
self.assertTrue(extents['temp']>=20)
self.streams.append(stream_id)
self.stop_ingestion(stream_id)
def test_repersist_data(self):
stream_id, route, stream_def_id, dataset_id = self.make_simple_dataset()
self.start_ingestion(stream_id, dataset_id)
self.publish_hifi(stream_id,route,0)
self.publish_hifi(stream_id,route,1)
self.wait_until_we_have_enough_granules(dataset_id,20)
config_id = self.get_ingestion_config()
self.ingestion_management.unpersist_data_stream(stream_id=stream_id,ingestion_configuration_id=config_id)
self.ingestion_management.persist_data_stream(stream_id=stream_id,ingestion_configuration_id=config_id,dataset_id=dataset_id)
self.publish_hifi(stream_id,route,2)
self.publish_hifi(stream_id,route,3)
self.wait_until_we_have_enough_granules(dataset_id,40)
success = False
with gevent.timeout.Timeout(5):
while not success:
replay_granule = self.data_retriever.retrieve(dataset_id)
rdt = RecordDictionaryTool.load_from_granule(replay_granule)
comp = rdt['time'] == np.arange(0,40)
if not isinstance(comp,bool):
success = comp.all()
gevent.sleep(1)
self.assertTrue(success)
self.streams.append(stream_id)
self.stop_ingestion(stream_id)
@attr('LOCOINT')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False), 'Host requires file-system access to coverage files, CEI mode does not support.')
def test_correct_time(self):
# There are 2208988800 seconds between Jan 1 1900 and Jan 1 1970, i.e.
# the conversion factor between unix and NTP time
unix_now = np.floor(time.time())
ntp_now = unix_now + 2208988800
unix_ago = unix_now - 20
ntp_ago = unix_ago + 2208988800
stream_id, route, stream_def_id, dataset_id = self.make_simple_dataset()
coverage = DatasetManagementService._get_simplex_coverage(dataset_id)
coverage.insert_timesteps(20)
coverage.set_parameter_values('time', np.arange(ntp_ago,ntp_now))
temporal_bounds = self.dataset_management.dataset_temporal_bounds(dataset_id)
self.assertTrue( np.abs(temporal_bounds[0] - unix_ago) < 2)
self.assertTrue( np.abs(temporal_bounds[1] - unix_now) < 2)
@attr('LOCOINT')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False), 'Host requires file-system access to coverage files, CEI mode does not support.')
def test_empty_coverage_time(self):
stream_id, route, stream_def_id, dataset_id = self.make_simple_dataset()
coverage = DatasetManagementService._get_coverage(dataset_id)
temporal_bounds = self.dataset_management.dataset_temporal_bounds(dataset_id)
self.assertEquals([coverage.get_parameter_context('time').fill_value] *2, temporal_bounds)
@attr('LOCOINT')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False), 'Host requires file-system access to coverage files, CEI mode does not support.')
def test_out_of_band_retrieve(self):
# Setup the environemnt
stream_id, route, stream_def_id, dataset_id = self.make_simple_dataset()
self.start_ingestion(stream_id, dataset_id)
# Fill the dataset
self.publish_fake_data(stream_id, route)
self.wait_until_we_have_enough_granules(dataset_id,40)
# Retrieve the data
granule = DataRetrieverService.retrieve_oob(dataset_id)
rdt = RecordDictionaryTool.load_from_granule(granule)
self.assertTrue((rdt['time'] == np.arange(40)).all())
@attr('LOCOINT')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False), 'Host requires file-system access to coverage files, CEI mode does not support.')
def test_retrieve_cache(self):
DataRetrieverService._refresh_interval = 1
datasets = [self.make_simple_dataset() for i in xrange(10)]
for stream_id, route, stream_def_id, dataset_id in datasets:
coverage = DatasetManagementService._get_simplex_coverage(dataset_id)
coverage.insert_timesteps(10)
coverage.set_parameter_values('time', np.arange(10))
coverage.set_parameter_values('temp', np.arange(10))
# Verify cache hit and refresh
dataset_ids = [i[3] for i in datasets]
self.assertTrue(dataset_ids[0] not in DataRetrieverService._retrieve_cache)
DataRetrieverService._get_coverage(dataset_ids[0]) # Hit the chache
cov, age = DataRetrieverService._retrieve_cache[dataset_ids[0]]
# Verify that it was hit and it's now in there
self.assertTrue(dataset_ids[0] in DataRetrieverService._retrieve_cache)
gevent.sleep(DataRetrieverService._refresh_interval + 0.2)
DataRetrieverService._get_coverage(dataset_ids[0]) # Hit the chache
cov, age2 = DataRetrieverService._retrieve_cache[dataset_ids[0]]
self.assertTrue(age2 != age)
for dataset_id in dataset_ids:
DataRetrieverService._get_coverage(dataset_id)
self.assertTrue(dataset_ids[0] not in DataRetrieverService._retrieve_cache)
stream_id, route, stream_def, dataset_id = datasets[0]
self.start_ingestion(stream_id, dataset_id)
DataRetrieverService._get_coverage(dataset_id)
self.assertTrue(dataset_id in DataRetrieverService._retrieve_cache)
DataRetrieverService._refresh_interval = 100
self.publish_hifi(stream_id,route,1)
self.wait_until_we_have_enough_granules(dataset_id, data_size=20)
event = gevent.event.Event()
with gevent.Timeout(20):
while not event.wait(0.1):
if dataset_id not in DataRetrieverService._retrieve_cache:
event.set()
self.assertTrue(event.is_set())
def publish_and_wait(self, dataset_id, granule):
stream_ids, _ = self.resource_registry.find_objects(dataset_id, PRED.hasStream,id_only=True)
stream_id=stream_ids[0]
route = self.pubsub_management.read_stream_route(stream_id)
publisher = StandaloneStreamPublisher(stream_id,route)
dataset_monitor = DatasetMonitor(dataset_id)
publisher.publish(granule)
self.assertTrue(dataset_monitor.event.wait(10))
@attr('LOCOINT')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False), 'Host requires file-system access to coverage files, CEI mode does not support.')
def test_thorough_gap_analysis(self):
dataset_id = self.test_ingestion_gap_analysis()
vcov = DatasetManagementService._get_coverage(dataset_id)
self.assertIsInstance(vcov,ViewCoverage)
ccov = vcov.reference_coverage
self.assertIsInstance(ccov, ComplexCoverage)
self.assertEquals(len(ccov._reference_covs), 3)
def test_ingestion_gap_analysis(self):
stream_id, route, stream_def_id, dataset_id = self.make_simple_dataset()
self.start_ingestion(stream_id, dataset_id)
self.addCleanup(self.stop_ingestion, stream_id)
connection1 = uuid4().hex
connection2 = uuid4().hex
rdt = RecordDictionaryTool(stream_definition_id=stream_def_id)
rdt['time'] = [0]
rdt['temp'] = [0]
self.publish_and_wait(dataset_id, rdt.to_granule(connection_id=connection1,connection_index='0'))
rdt['time'] = [1]
rdt['temp'] = [1]
self.publish_and_wait(dataset_id, rdt.to_granule(connection_id=connection1,connection_index=1))
rdt['time'] = [2]
rdt['temp'] = [2]
self.publish_and_wait(dataset_id, rdt.to_granule(connection_id=connection1,connection_index='3')) # Gap, missed message
rdt['time'] = [3]
rdt['temp'] = [3]
self.publish_and_wait(dataset_id, rdt.to_granule(connection_id=connection2,connection_index='3')) # Gap, new connection
rdt['time'] = [4]
rdt['temp'] = [4]
self.publish_and_wait(dataset_id, rdt.to_granule(connection_id=connection2,connection_index='4'))
rdt['time'] = [5]
rdt['temp'] = [5]
self.publish_and_wait(dataset_id, rdt.to_granule(connection_id=connection2,connection_index=5))
granule = self.data_retriever.retrieve(dataset_id)
rdt = RecordDictionaryTool.load_from_granule(granule)
np.testing.assert_array_equal(rdt['time'], np.arange(6))
np.testing.assert_array_equal(rdt['temp'], np.arange(6))
return dataset_id
@unittest.skip('Outdated due to ingestion retry')
@attr('LOCOINT')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False), 'Host requires file-system access to coverage files, CEI mode does not support.')
def test_ingestion_failover(self):
stream_id, route, stream_def_id, dataset_id = self.make_simple_dataset()
self.start_ingestion(stream_id, dataset_id)
event = Event()
def cb(*args, **kwargs):
event.set()
sub = EventSubscriber(event_type="ExceptionEvent", callback=cb, origin="stream_exception")
sub.start()
self.publish_fake_data(stream_id, route)
self.wait_until_we_have_enough_granules(dataset_id, 40)
file_path = DatasetManagementService._get_coverage_path(dataset_id)
master_file = os.path.join(file_path, '%s_master.hdf5' % dataset_id)
with open(master_file, 'w') as f:
f.write('this will crash HDF')
self.publish_hifi(stream_id, route, 5)
self.assertTrue(event.wait(10))
sub.stop()
@attr('LOCOINT')
@unittest.skipIf(os.getenv('CEI_LAUNCH_TEST', False), 'Host requires file-system access to coverage files, CEI mode does not support.')
def test_coverage_types(self):
# Make a simple dataset and start ingestion, pretty standard stuff.
ctd_stream_id, route, stream_def_id, dataset_id = self.make_simple_dataset()
cov = DatasetManagementService._get_coverage(dataset_id=dataset_id)
self.assertIsInstance(cov, ViewCoverage)
cov = DatasetManagementService._get_simplex_coverage(dataset_id=dataset_id)
self.assertIsInstance(cov, SimplexCoverage)
class TestPlatformInstrument(BaseIntTestPlatform):
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 _get_platform_attributes(self):
attr_infos = self.oms.attr.get_platform_attributes(
'LPJBox_CI_Ben_Hall')
log.debug('_get_platform_attributes: %s', self._pp.pformat(attr_infos))
# ret_infos = attr_infos['LPJBox_CI_Ben_Hall']
# for attrName, attr_defn in ret_infos.iteritems():
# attr = AttrNode(attrName, attr_defn)
# pnode.add_attribute(attr)
return attr_infos
@unittest.skip('Still in construction...')
def test_platform_with_instrument_streaming(self):
#
# The following is with just a single platform and the single
# instrument "SBE37_SIM_08", which corresponds to the one on port 4008.
#
#load the paramaters and the param dicts necesssary for the VEL3D
self._load_params()
#create the instrument device/agent/mode
self._create_instrument_resources()
#create the platform device, agent and instance
self._create_platform_configuration('LPJBox_CI_Ben_Hall')
self.rrclient.create_association(subject=self.platform_device,
predicate=PRED.hasDevice,
object=self.instrument_device)
self._start_platform()
# self.addCleanup(self._stop_platform, p_root)
# get everything in command mode:
self._ping_agent()
self._initialize()
_ia_client = ResourceAgentClient(self.instrument_device,
process=FakeProcess())
state = _ia_client.get_agent_state()
log.info("TestPlatformInstrument get_agent_state %s", state)
self._go_active()
# self._run()
gevent.sleep(3)
# note that this includes the instrument also getting to the command state
# self._stream_instruments()
# get client to the instrument:
# the i_obj is a DotDict with various pieces captured during the
# set-up of the instrument, in particular instrument_device_id
#i_obj = self._get_instrument(instr_key)
# log.debug("KK creating ResourceAgentClient")
# ia_client = ResourceAgentClient(i_obj.instrument_device_id,
# process=FakeProcess())
# log.debug("KK got ResourceAgentClient: %s", ia_client)
#
# # verify the instrument is command state:
# state = ia_client.get_agent_state()
# log.debug("KK instrument state: %s", state)
# self.assertEqual(state, ResourceAgentState.COMMAND)
self._reset()
self._shutdown()
def _load_params(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",
))
def _create_platform_configuration(self,
platform_id,
parent_platform_id=None):
"""
This method is an adaptation of test_agent_instance_config in
test_instrument_management_service_integration.py
@param platform_id
@param parent_platform_id
@return a DotDict with various of the constructed elements associated
to the platform.
"""
tdom, sdom = time_series_domain()
sdom = sdom.dump()
tdom = tdom.dump()
param_dict_name = 'platform_eng_parsed'
parsed_rpdict_id = self.dataset_management.read_parameter_dictionary_by_name(
param_dict_name, id_only=True)
self.parsed_stream_def_id = self.pubsubclient.create_stream_definition(
name='parsed', parameter_dictionary_id=parsed_rpdict_id)
driver_config = PLTFRM_DVR_CONFIG
driver_config['attributes'] = self._get_platform_attributes(
) #self._platform_attributes[platform_id]
#OMS returning an error for port.get_platform_ports
#driver_config['ports'] = self._platform_ports[platform_id]
log.debug("driver_config: %s", driver_config)
# instance creation
platform_agent_instance_obj = any_old(RT.PlatformAgentInstance,
{'driver_config': driver_config})
platform_agent_instance_obj.agent_config = {
'platform_config': {
'platform_id': 'LPJBox_CI_Ben_Hall',
'parent_platform_id': None
}
}
self.platform_agent_instance_id = self.imsclient.create_platform_agent_instance(
platform_agent_instance_obj)
# agent creation
platform_agent_obj = any_old(
RT.PlatformAgent, {
"stream_configurations": self._get_platform_stream_configs(),
'driver_module': PLTFRM_DVR_MOD,
'driver_class': PLTFRM_DVR_CLS
})
platform_agent_id = self.imsclient.create_platform_agent(
platform_agent_obj)
# device creation
self.platform_device = self.imsclient.create_platform_device(
any_old(RT.PlatformDevice))
# data product creation
dp_obj = any_old(RT.DataProduct, {
"temporal_domain": tdom,
"spatial_domain": sdom
})
dp_id = self.dpclient.create_data_product(
data_product=dp_obj,
stream_definition_id=self.parsed_stream_def_id)
self.damsclient.assign_data_product(
input_resource_id=self.platform_device, data_product_id=dp_id)
self.dpclient.activate_data_product_persistence(data_product_id=dp_id)
self.addCleanup(self.dpclient.delete_data_product, dp_id)
# assignments
self.RR2.assign_platform_agent_instance_to_platform_device_with_has_agent_instance(
self.platform_agent_instance_id, self.platform_device)
self.RR2.assign_platform_agent_to_platform_agent_instance_with_has_agent_definition(
platform_agent_id, self.platform_agent_instance_id)
self.RR2.assign_platform_device_to_org_with_has_resource(
self.platform_agent_instance_id, self.org_id)
#######################################
# dataset
log.debug('data product = %s', dp_id)
stream_ids, _ = self.rrclient.find_objects(dp_id, PRED.hasStream, None,
True)
log.debug('Data product stream_ids = %s', stream_ids)
stream_id = stream_ids[0]
# Retrieve the id of the OUTPUT stream from the out Data Product
dataset_ids, _ = self.rrclient.find_objects(dp_id, PRED.hasDataset,
RT.Dataset, True)
log.debug('Data set for data_product_id1 = %s', dataset_ids[0])
#######################################
return
def _create_instrument_resources(self):
# Create InstrumentModel
instModel_obj = IonObject(RT.InstrumentModel,
name='VEL3D',
description="VEL3D")
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')
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')
# Create InstrumentAgent
instAgent_obj = IonObject(
RT.InstrumentAgent,
name='agent007',
description="SBE37IMAgent",
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('new InstrumentAgent id = %s', instAgent_id)
self.imsclient.assign_instrument_model_to_instrument_agent(
instModel_id, instAgent_id)
# Create InstrumentDevice
instDevice_obj = IonObject(RT.InstrumentDevice,
name='VEL3DDevice',
description="VEL3DDevice",
serial_number="12345")
self.instrument_device = self.imsclient.create_instrument_device(
instrument_device=instDevice_obj)
self.imsclient.assign_instrument_model_to_instrument_device(
instModel_id, self.instrument_device)
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, self.instrument_device)
self._start_port_agent(
self.imsclient.read_instrument_agent_instance(
instAgentInstance_id))
vel3d_b_sample_pdict_id = self.dataset_management.read_parameter_dictionary_by_name(
'vel3d_b_sample', id_only=True)
vel3d_b_sample_stream_def_id = self.pubsubclient.create_stream_definition(
name='vel3d_b_sample',
parameter_dictionary_id=vel3d_b_sample_pdict_id)
vel3d_b_engineering_pdict_id = self.dataset_management.read_parameter_dictionary_by_name(
'vel3d_b_engineering', id_only=True)
vel3d_b_engineering_stream_def_id = self.pubsubclient.create_stream_definition(
name='vel3d_b_engineering',
parameter_dictionary_id=vel3d_b_engineering_pdict_id)
raw_pdict_id = self.dataset_management.read_parameter_dictionary_by_name(
'raw', id_only=True)
raw_stream_def_id = self.pubsubclient.create_stream_definition(
name='raw', parameter_dictionary_id=raw_pdict_id)
#-------------------------------
# Create Raw and Parsed Data Products for the device
#-------------------------------
tdom, sdom = time_series_domain()
sdom = sdom.dump()
tdom = tdom.dump()
dp_obj = IonObject(RT.DataProduct,
name='vel3d_b_sample',
description='vel3d_b_sample',
temporal_domain=tdom,
spatial_domain=sdom)
data_product_id1 = self.dpclient.create_data_product(
data_product=dp_obj,
stream_definition_id=vel3d_b_sample_stream_def_id)
self.damsclient.assign_data_product(
input_resource_id=self.instrument_device,
data_product_id=data_product_id1)
self.dpclient.activate_data_product_persistence(
data_product_id=data_product_id1)
dp_obj = IonObject(RT.DataProduct,
name='vel3d_b_engineering',
description='vel3d_b_engineering',
temporal_domain=tdom,
spatial_domain=sdom)
data_product_id2 = self.dpclient.create_data_product(
data_product=dp_obj,
stream_definition_id=vel3d_b_engineering_stream_def_id)
self.damsclient.assign_data_product(
input_resource_id=self.instrument_device,
data_product_id=data_product_id2)
self.dpclient.activate_data_product_persistence(
data_product_id=data_product_id2)
dp_obj = IonObject(RT.DataProduct,
name='the raw data',
description='raw stream test',
temporal_domain=tdom,
spatial_domain=sdom)
data_product_id3 = self.dpclient.create_data_product(
data_product=dp_obj, stream_definition_id=raw_stream_def_id)
self.damsclient.assign_data_product(
input_resource_id=self.instrument_device,
data_product_id=data_product_id3)
self.dpclient.activate_data_product_persistence(
data_product_id=data_product_id3)
def _start_port_agent(self, instrument_agent_instance_obj=None):
"""
Construct and start the port agent, ONLY NEEDED FOR INSTRUMENT AGENTS.
"""
_port_agent_config = instrument_agent_instance_obj.port_agent_config
# It blocks until the port agent starts up or a timeout
_pagent = PortAgentProcess.launch_process(_port_agent_config,
test_mode=True)
pid = _pagent.get_pid()
port = _pagent.get_data_port()
cmd_port = _pagent.get_command_port()
log.info(
"IMS:_start_pagent returned from PortAgentProcess.launch_process pid: %s ",
pid)
# Hack to get ready for DEMO. Further though needs to be put int
# how we pass this config info around.
host = 'localhost'
driver_config = instrument_agent_instance_obj.driver_config
comms_config = driver_config.get('comms_config')
if comms_config:
host = comms_config.get('addr')
else:
log.warn("No comms_config specified, using '%s'" % host)
# Configure driver to use port agent port number.
instrument_agent_instance_obj.driver_config['comms_config'] = {
'addr': host,
'cmd_port': cmd_port,
'port': port
}
instrument_agent_instance_obj.driver_config['pagent_pid'] = pid
self.imsclient.update_instrument_agent_instance(
instrument_agent_instance_obj)
return self.imsclient.read_instrument_agent_instance(
instrument_agent_instance_obj._id)
def _start_platform(self):
"""
Starts the given platform waiting for it to transition to the
UNINITIALIZED state (note that the agent starts in the LAUNCHING state).
More in concrete the sequence of steps here are:
- prepares subscriber to receive the UNINITIALIZED state transition
- launches the platform process
- waits for the start of the process
- waits for the transition to the UNINITIALIZED state
"""
##############################################################
# prepare to receive the UNINITIALIZED state transition:
async_res = AsyncResult()
def consume_event(evt, *args, **kwargs):
log.debug("Got ResourceAgentStateEvent %s from origin %r",
evt.state, evt.origin)
if evt.state == PlatformAgentState.UNINITIALIZED:
async_res.set(evt)
# start subscriber:
sub = EventSubscriber(event_type="ResourceAgentStateEvent",
origin=self.platform_device,
callback=consume_event)
sub.start()
log.info(
"registered event subscriber to wait for state=%r from origin %r",
PlatformAgentState.UNINITIALIZED, self.platform_device)
#self._event_subscribers.append(sub)
sub._ready_event.wait(timeout=EVENT_TIMEOUT)
##############################################################
# now start the platform:
agent_instance_id = self.platform_agent_instance_id
log.debug("about to call start_platform_agent_instance with id=%s",
agent_instance_id)
pid = self.imsclient.start_platform_agent_instance(
platform_agent_instance_id=agent_instance_id)
log.debug("start_platform_agent_instance returned pid=%s", pid)
#wait for start
agent_instance_obj = self.imsclient.read_platform_agent_instance(
agent_instance_id)
gate = AgentProcessStateGate(self.processdispatchclient.read_process,
self.platform_device._id,
ProcessStateEnum.RUNNING)
self.assertTrue(
gate. await (90),
"The platform agent instance did not spawn in 90 seconds")
# Start a resource agent client to talk with the agent.
self._pa_client = ResourceAgentClient(self.platform_device,
name=gate.process_id,
process=FakeProcess())
log.debug("got platform agent client %s", str(self._pa_client))
##############################################################
# wait for the UNINITIALIZED event:
async_res.get(timeout=self._receive_timeout)
def _setup_resources(self):
# TODO: some or all of this (or some variation) should move to DAMS'
# Build the test resources for the dataset
dams_cli = DataAcquisitionManagementServiceClient()
dpms_cli = DataProductManagementServiceClient()
rr_cli = ResourceRegistryServiceClient()
eda = ExternalDatasetAgent()
eda_id = dams_cli.create_external_dataset_agent(eda)
eda_inst = ExternalDatasetAgentInstance()
eda_inst_id = dams_cli.create_external_dataset_agent_instance(eda_inst, external_dataset_agent_id=eda_id)
# Create and register the necessary resources/objects
# Create DataProvider
dprov = ExternalDataProvider(institution=Institution(), contact=ContactInformation())
dprov.contact.name = 'Christopher Mueller'
dprov.contact.email = '*****@*****.**'
# Create DataSource
dsrc = DataSource(protocol_type='FILE', institution=Institution(), contact=ContactInformation())
dsrc.connection_params['base_data_url'] = ''
dsrc.contact.name='Tim Giguere'
dsrc.contact.email = '*****@*****.**'
# Create ExternalDataset
ds_name = 'ruv_test_dataset'
dset = ExternalDataset(name=ds_name, dataset_description=DatasetDescription(), update_description=UpdateDescription(), contact=ContactInformation())
dset.dataset_description.parameters['dataset_path'] = 'test_data/RDLi_SEAB_2011_08_24_1600.ruv'
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'] = [
]
# Create DataSourceModel
dsrc_model = DataSourceModel(name='ruv_model')
dsrc_model.model = 'RUV'
dsrc_model.data_handler_module = 'N/A'
dsrc_model.data_handler_class = 'N/A'
## Run everything through DAMS
ds_id = dams_cli.create_external_dataset(external_dataset=dset)
ext_dprov_id = dams_cli.create_external_data_provider(external_data_provider=dprov)
ext_dsrc_id = dams_cli.create_data_source(data_source=dsrc)
ext_dsrc_model_id = dams_cli.create_data_source_model(dsrc_model)
# Register the ExternalDataset
dproducer_id = dams_cli.register_external_data_set(external_dataset_id=ds_id)
# Or using each method
dams_cli.assign_data_source_to_external_data_provider(data_source_id=ext_dsrc_id, external_data_provider_id=ext_dprov_id)
dams_cli.assign_data_source_to_data_model(data_source_id=ext_dsrc_id, data_source_model_id=ext_dsrc_model_id)
dams_cli.assign_external_dataset_to_data_source(external_dataset_id=ds_id, data_source_id=ext_dsrc_id)
dams_cli.assign_external_dataset_to_agent_instance(external_dataset_id=ds_id, agent_instance_id=eda_inst_id)
# dams_cli.assign_external_data_agent_to_agent_instance(external_data_agent_id=self.eda_id, agent_instance_id=self.eda_inst_id)
# Generate the data product and associate it to the ExternalDataset
dprod = DataProduct(name='ruv_parsed_product', description='parsed ruv product')
dproduct_id = dpms_cli.create_data_product(data_product=dprod)
dams_cli.assign_data_product(input_resource_id=ds_id, data_product_id=dproduct_id, create_stream=True)
stream_id, assn = rr_cli.find_objects(subject=dproduct_id, predicate=PRED.hasStream, object_type=RT.Stream, id_only=True)
stream_id = stream_id[0]
log.info('Created resources: {0}'.format({'ExternalDataset':ds_id, 'ExternalDataProvider':ext_dprov_id, 'DataSource':ext_dsrc_id, 'DataSourceModel':ext_dsrc_model_id, 'DataProducer':dproducer_id, 'DataProduct':dproduct_id, 'Stream':stream_id}))
#CBM: Use CF standard_names
ttool = TaxyTool()
ttool.add_taxonomy_set('data','test data')
#CBM: Eventually, probably want to group this crap somehow - not sure how yet...
# Create the logger for receiving publications
self.create_stream_and_logger(name='ruv',stream_id=stream_id)
self.EDA_RESOURCE_ID = ds_id
self.EDA_NAME = ds_name
self.DVR_CONFIG['dh_cfg'] = {
'TESTING':True,
'stream_id':stream_id,
'external_dataset_res':dset,
'taxonomy':ttool.dump(),
'data_producer_id':dproducer_id,#CBM: Should this be put in the main body of the config - with mod & cls?
'max_records':20,
}
class TestActivateInstrumentIntegration(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.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 = []
@unittest.skip("TBD")
def test_activateInstrumentSample(self):
# Create InstrumentModel
instModel_obj = IonObject(RT.InstrumentModel,
name='SBE37IMModel',
description="SBE37IMModel",
model_label="SBE37IMModel")
try:
instModel_id = self.imsclient.create_instrument_model(
instModel_obj)
except BadRequest as ex:
self.fail("failed to create new InstrumentModel: %s" % ex)
print 'new InstrumentModel id = ', 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)
print 'new InstrumentAgent id = ', 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)
driver_config = {
'dvr_mod': 'ion.agents.instrument.drivers.sbe37.sbe37_driver',
'dvr_cls': 'SBE37Driver',
'workdir': '/tmp/',
}
instAgentInstance_obj = IonObject(
RT.InstrumentAgentInstance,
name='SBE37IMAgentInstance',
description="SBE37IMAgentInstance",
driver_config=driver_config,
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)
print 'new Stream Definition id = ', instDevice_id
print 'Creating new CDM data product with a stream definition'
dp_obj = IonObject(RT.DataProduct,
name='the parsed data',
description='ctd stream test')
try:
data_product_id1 = self.dpclient.create_data_product(
dp_obj, ctd_stream_def_id)
except BadRequest as ex:
self.fail("failed to create new data product: %s" % ex)
print 'new dp_id = ', 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,
persist_data=True,
persist_metadata=True)
# 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)
print 'Data product streams1 = ', stream_ids
print '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')
try:
data_product_id2 = self.dpclient.create_data_product(
dp_obj, raw_stream_def_id)
except BadRequest as ex:
self.fail("failed to create new data product: %s" % ex)
print 'new dp_id = ', 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,
persist_data=True,
persist_metadata=True)
# 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)
print 'Data product streams2 = ', 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)
print 'Instrument agent instance obj: = ', 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())
print 'activate_instrument: got ia client %s', self._ia_client
log.debug("test_activateInstrumentSample: got ia client %s",
str(self._ia_client))
cmd = AgentCommand(command='initialize')
retval = self._ia_client.execute_agent(cmd)
print retval
log.debug("test_activateInstrumentSample: initialize %s", str(retval))
time.sleep(2)
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(2)
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(2)
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(2)
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(2)
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(2)
#-------------------------------
# Deactivate InstrumentAgentInstance
#-------------------------------
self.imsclient.stop_instrument_agent_instance(
instrument_agent_instance_id=instAgentInstance_id)
def test_activateInstrumentStream(self):
# Create InstrumentModel
instModel_obj = IonObject(RT.InstrumentModel,
name='SBE37IMModel',
description="SBE37IMModel",
model_label="SBE37IMModel")
try:
instModel_id = self.imsclient.create_instrument_model(
instModel_obj)
except BadRequest as ex:
self.fail("failed to create new InstrumentModel: %s" % ex)
print 'new InstrumentModel id = ', 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)
print 'new InstrumentAgent id = ', instAgent_id
self.imsclient.assign_instrument_model_to_instrument_agent(
instModel_id, instAgent_id)
# Create InstrumentDevice
log.debug(
'test_activateInstrumentStream: 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_activateInstrumentStream: new InstrumentDevice id = %s (SA Req: L4-CI-SA-RQ-241) ",
instDevice_id)
driver_config = {
'dvr_mod': 'ion.agents.instrument.drivers.sbe37.sbe37_driver',
'dvr_cls': 'SBE37Driver',
'workdir': '/tmp/',
}
instAgentInstance_obj = IonObject(
RT.InstrumentAgentInstance,
name='SBE37IMAgentInstance',
description="SBE37IMAgentInstance",
driver_config=driver_config,
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(
'test_activateInstrumentStream new Stream Definition id = %s',
instDevice_id)
log.debug(
'test_activateInstrumentStream Creating new CDM data product with a stream definition'
)
dp_obj = IonObject(RT.DataProduct,
name='the parsed data',
description='ctd stream test')
try:
data_product_id1 = self.dpclient.create_data_product(
dp_obj, ctd_stream_def_id)
except BadRequest as ex:
self.fail("failed to create new data product: %s" % ex)
log.debug('test_activateInstrumentStream new dp_id = %s',
str(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,
persist_data=True,
persist_metadata=True)
# 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('test_activateInstrumentStream Data product streams1 = %s',
str(stream_ids))
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, node=self.container.node)
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(
'test_activateInstrumentStream 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')
try:
data_product_id2 = self.dpclient.create_data_product(
dp_obj, raw_stream_def_id)
except BadRequest as ex:
self.fail("failed to create new data product: %s" % ex)
log.debug('test_activateInstrumentStream 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,
persist_data=True,
persist_metadata=True)
# 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_activateInstrumentStream 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))
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)
log.debug("test_activateInstrument: run %s", str(reply))
time.sleep(2)
log.debug("test_activateInstrumentStream: calling go_streaming ")
cmd = AgentCommand(command='go_streaming')
reply = self._ia_client.execute(cmd)
log.debug("test_activateInstrumentStream: return from go_streaming %s",
str(reply))
time.sleep(15)
log.debug("test_activateInstrumentStream: calling go_observatory")
cmd = AgentCommand(command='go_observatory')
reply = self._ia_client.execute(cmd)
log.debug(
"test_activateInstrumentStream: return from go_observatory %s",
str(reply))
time.sleep(2)
log.debug("test_activateInstrumentStream: calling reset ")
cmd = AgentCommand(command='reset')
reply = self._ia_client.execute_agent(cmd)
log.debug("test_activateInstrumentStream: return from reset %s",
str(reply))
time.sleep(2)
#-------------------------------
# Deactivate InstrumentAgentInstance
#-------------------------------
self.imsclient.stop_instrument_agent_instance(
instrument_agent_instance_id=instAgentInstance_id)
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 TestInstrumentManagementServiceAgents(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')
self.RR = ResourceRegistryServiceClient(node=self.container.node)
self.IMS = InstrumentManagementServiceClient(node=self.container.node)
print 'started services'
@unittest.skip('this test just for debugging setup')
def test_just_the_setup(self):
return
def test_register_instrument_agent(self):
#test ssh-ability
cfg_host = CFG.service.instrument_management.driver_release_host #'amoeaba.ucsd.edu'
cfg_user = pwd.getpwuid(os.getuid())[0]
remotehost = "%s@%s" % (cfg_user, cfg_host)
ssh_retval = subprocess.call([
"ssh", "-o", "PasswordAuthentication=no", remotehost, "-f", "true"
])
if 0 != ssh_retval:
raise unittest.SkipTest("SSH/SCP credentials to %s didn't work" %
remotehost)
inst_agent_id = self.IMS.create_instrument_agent(
any_old(RT.InstrumentAgent))
inst_model_id = self.IMS.create_instrument_model(
any_old(RT.InstrumentModel))
self.IMS.assign_instrument_model_to_instrument_agent(
inst_model_id, inst_agent_id)
self.IMS.register_instrument_agent(inst_agent_id, BASE64_EGG,
BASE64_ZIPFILE)
attachments, _ = self.RR.find_objects(inst_agent_id,
PRED.hasAttachment,
RT.Attachment, True)
self.assertEqual(len(attachments), 4)
for a_id in attachments:
a = self.RR.read_attachment(a_id)
parts = string.split(a.name, ".")
if "txt" == parts[1]:
self.assertEqual("text/plain", a.content_type)
self.assertIn(parts[0], a.keywords)
self.assertEqual(a.content, (parts[0] * 3) + "\n")
log.info("L4-CI-SA-RQ-148")
return
class TestIMSDeployAsPrimaryDevice(IonIntegrationTestCase):
def setUp(self):
# Start container
self._start_container()
# self.container.start_rel_from_url('res/deploy/r2deploy.yml')
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.omsclient = ObservatoryManagementServiceClient(node=self.container.node)
self.processdispatchclient = ProcessDispatcherServiceClient(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
def cleanupprocs(self):
stm = os.popen("ps -e | grep ion.agents.port.logger_process")
procs = stm.read()
if len(procs) > 0:
procs = procs.split()
if procs[0].isdigit():
pid = int(procs[0])
os.kill(pid, signal.SIGKILL)
stm = os.popen("ps -e | grep ion.agents.instrument.zmq_driver_process")
procs = stm.read()
if len(procs) > 0:
procs = procs.split()
if procs[0].isdigit():
pid = int(procs[0])
os.kill(pid, signal.SIGKILL)
# stm = os.popen('rm /tmp/*.pid.txt')
@unittest.skip("Deprecated by IngestionManagement refactor, timeout on start inst agent?")
def test_deploy_activate_full(self):
# ensure no processes or pids are left around by agents or Sims
# self.cleanupprocs()
self.loggerpids = []
# -------------------------------
# Create InstrumentModel
# -------------------------------
instModel_obj = IonObject(RT.InstrumentModel, name="SBE37IMModel", description="SBE37IMModel")
try:
instModel_id = self.imsclient.create_instrument_model(instModel_obj)
except BadRequest as ex:
self.fail("failed to create new InstrumentModel: %s" % ex)
# -------------------------------
# Create InstrumentAgent
# -------------------------------
instAgent_obj = IonObject(
RT.InstrumentAgent,
name="agent007",
description="SBE37IMAgent",
driver_uri="http://sddevrepo.oceanobservatories.org/releases/seabird_sbe37smb_ooicore-0.0.1-py2.7.egg",
)
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 Instrument Site
# -------------------------------
instrumentSite_obj = IonObject(RT.InstrumentSite, name="instrumentSite1", description="SBE37IMInstrumentSite")
try:
instrumentSite_id = self.omsclient.create_instrument_site(instrument_site=instrumentSite_obj, parent_id="")
except BadRequest as ex:
self.fail("failed to create new InstrumentSite: %s" % ex)
print "test_deployAsPrimaryDevice: new instrumentSite id = ", instrumentSite_id
self.omsclient.assign_instrument_model_to_instrument_site(instModel_id, instrumentSite_id)
# -------------------------------
# Logical Transform: Output Data Products
# -------------------------------
# Construct temporal and spatial Coordinate Reference System objects
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.pubsubclient.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.pubsubclient.create_stream_definition(name="raw", parameter_dictionary_id=raw_pdict_id)
# -------------------------------
# Create Old InstrumentDevice
# -------------------------------
instDevice_obj = IonObject(
RT.InstrumentDevice,
name="SBE37IMDeviceYear1",
description="SBE37IMDevice for the FIRST year of deployment",
serial_number="12345",
)
try:
oldInstDevice_id = self.imsclient.create_instrument_device(instrument_device=instDevice_obj)
self.imsclient.assign_instrument_model_to_instrument_device(instModel_id, oldInstDevice_id)
except BadRequest as ex:
self.fail("failed to create new InstrumentDevice: %s" % ex)
print "test_deployAsPrimaryDevice: new Year 1 InstrumentDevice id = ", oldInstDevice_id
self.rrclient.execute_lifecycle_transition(oldInstDevice_id, LCE.DEPLOY)
self.rrclient.execute_lifecycle_transition(oldInstDevice_id, LCE.ENABLE)
# -------------------------------
# Create Raw and Parsed Data Products for the device
# -------------------------------
dp_obj = IonObject(
RT.DataProduct,
name="SiteDataProduct",
description="SiteDataProduct",
temporal_domain=tdom,
spatial_domain=sdom,
)
instrument_site_output_dp_id = self.dataproductclient.create_data_product(
data_product=dp_obj, stream_definition_id=parsed_stream_def_id
)
self.damsclient.assign_data_product(
input_resource_id=oldInstDevice_id, data_product_id=instrument_site_output_dp_id
)
# self.dataproductclient.activate_data_product_persistence(data_product_id=instrument_site_output_dp_id)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(instrument_site_output_dp_id, 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(instrument_site_output_dp_id, 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)
self.omsclient.create_site_data_product(instrumentSite_id, instrument_site_output_dp_id)
# -------------------------------
# Create Old Deployment
# -------------------------------
deployment_obj = IonObject(RT.Deployment, name="first deployment")
oldDeployment_id = self.omsclient.create_deployment(deployment_obj)
# deploy this device to the logical slot
self.imsclient.deploy_instrument_device(oldInstDevice_id, oldDeployment_id)
self.omsclient.deploy_instrument_site(instrumentSite_id, oldDeployment_id)
# -------------------------------
# Create InstrumentAgentInstance for OldInstrumentDevice to hold configuration information
# cmd_port=5556, evt_port=5557, comms_method="ethernet", comms_device_address=CFG.device.sbe37.host, comms_device_port=CFG.device.sbe37.port,
# -------------------------------
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,
}
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,
)
instAgentInstance_obj = IonObject(
RT.InstrumentAgentInstance,
name="SBE37IMAgentInstanceYear1",
description="SBE37IMAgentInstanceYear1",
comms_device_address="sbe37-simulator.oceanobservatories.org",
comms_device_port=4001,
port_agent_config=port_agent_config,
stream_configurations=[raw_config, parsed_config],
)
oldInstAgentInstance_id = self.imsclient.create_instrument_agent_instance(
instAgentInstance_obj, instAgent_id, oldInstDevice_id
)
tdom, sdom = time_series_domain()
sdom = sdom.dump()
tdom = tdom.dump()
# -------------------------------
# Create CTD Parsed as the Year 1 data product and attach to instrument
# -------------------------------
print "Creating new CDM data product with a stream definition"
dp_obj = IonObject(
RT.DataProduct,
name="ctd_parsed_year1",
description="ctd stream test year 1",
temporal_domain=tdom,
spatial_domain=sdom,
)
ctd_parsed_data_product_year1 = self.dataproductclient.create_data_product(
data_product=dp_obj, stream_definition_id=parsed_stream_def_id
)
print "new ctd_parsed_data_product_id = ", ctd_parsed_data_product_year1
self.damsclient.assign_data_product(
input_resource_id=oldInstDevice_id, data_product_id=ctd_parsed_data_product_year1
)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(ctd_parsed_data_product_year1, PRED.hasStream, None, True)
print "test_deployAsPrimaryDevice: Data product streams1 = ", stream_ids
# -------------------------------
# Create New InstrumentDevice
# -------------------------------
instDevice_obj_2 = IonObject(
RT.InstrumentDevice,
name="SBE37IMDeviceYear2",
description="SBE37IMDevice for the SECOND year of deployment",
serial_number="67890",
)
try:
newInstDevice_id = self.imsclient.create_instrument_device(instrument_device=instDevice_obj_2)
self.imsclient.assign_instrument_model_to_instrument_device(instModel_id, newInstDevice_id)
except BadRequest as ex:
self.fail("failed to create new InstrumentDevice: %s" % ex)
print "test_deployAsPrimaryDevice: new Year 2 InstrumentDevice id = ", newInstDevice_id
# set the LCSTATE
self.rrclient.execute_lifecycle_transition(newInstDevice_id, LCE.DEPLOY)
self.rrclient.execute_lifecycle_transition(newInstDevice_id, LCE.ENABLE)
instDevice_obj_2 = self.rrclient.read(newInstDevice_id)
log.debug("test_deployAsPrimaryDevice: Create New InstrumentDevice LCSTATE: %s ", str(instDevice_obj_2.lcstate))
# -------------------------------
# Create Old Deployment
# -------------------------------
deployment_obj = IonObject(RT.Deployment, name="second deployment")
newDeployment_id = self.omsclient.create_deployment(deployment_obj)
# deploy this device to the logical slot
self.imsclient.deploy_instrument_device(newInstDevice_id, newDeployment_id)
self.omsclient.deploy_instrument_site(instrumentSite_id, newDeployment_id)
# -------------------------------
# Create InstrumentAgentInstance for NewInstrumentDevice to hold configuration information
# -------------------------------
port_agent_config = {
"device_addr": "sbe37-simulator.oceanobservatories.org",
"device_port": 4004,
"process_type": PortAgentProcessType.UNIX,
"binary_path": "port_agent",
"port_agent_addr": "localhost",
"command_port": 4005,
"data_port": 4006,
"log_level": 5,
"type": PortAgentType.ETHERNET,
}
instAgentInstance_obj = IonObject(
RT.InstrumentAgentInstance,
name="SBE37IMAgentInstanceYear2",
description="SBE37IMAgentInstanceYear2",
comms_device_address="sbe37-simulator.oceanobservatories.org",
comms_device_port=4004,
port_agent_config=port_agent_config,
)
newInstAgentInstance_id = self.imsclient.create_instrument_agent_instance(
instAgentInstance_obj, instAgent_id, newInstDevice_id
)
# -------------------------------
# Create CTD Parsed as the Year 2 data product
# -------------------------------
dp_obj = IonObject(
RT.DataProduct,
name="ctd_parsed_year2",
description="ctd stream test year 2",
temporal_domain=tdom,
spatial_domain=sdom,
)
ctd_parsed_data_product_year2 = self.dataproductclient.create_data_product(
data_product=dp_obj, stream_definition_id=parsed_stream_def_id
)
print "new ctd_parsed_data_product_id = ", ctd_parsed_data_product_year2
self.damsclient.assign_data_product(
input_resource_id=newInstDevice_id, data_product_id=ctd_parsed_data_product_year2
)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(ctd_parsed_data_product_year2, PRED.hasStream, None, True)
print "test_deployAsPrimaryDevice: Data product streams2 = ", stream_ids
# -------------------------------
# L0 Conductivity - Temperature - Pressure: Data Process Definition
# -------------------------------
log.debug("test_deployAsPrimaryDevice: 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",
)
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_id = self.pubsubclient.create_stream_definition(
name="L0_Conductivity", parameter_dictionary_id=parsed_pdict_id
)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
outgoing_stream_l0_conductivity_id, ctd_L0_all_dprocdef_id, binding="conductivity"
)
outgoing_stream_l0_pressure_id = self.pubsubclient.create_stream_definition(
name="L0_Pressure", parameter_dictionary_id=parsed_pdict_id
)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
outgoing_stream_l0_pressure_id, ctd_L0_all_dprocdef_id, binding="pressure"
)
outgoing_stream_l0_temperature_id = self.pubsubclient.create_stream_definition(
name="L0_Temperature", parameter_dictionary_id=parsed_pdict_id
)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
outgoing_stream_l0_temperature_id, ctd_L0_all_dprocdef_id, binding="temperature"
)
self.output_products = {}
log.debug("test_deployAsPrimaryDevice: 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(
data_product=ctd_l0_conductivity_output_dp_obj, stream_definition_id=parsed_stream_def_id
)
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_deployAsPrimaryDevice: 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(
data_product=ctd_l0_pressure_output_dp_obj, stream_definition_id=parsed_stream_def_id
)
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_deployAsPrimaryDevice: 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(
data_product=ctd_l0_temperature_output_dp_obj, stream_definition_id=parsed_stream_def_id
)
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)
# -------------------------------
# L0 Conductivity - Temperature - Pressure: Create the data process, listening to Sim1 (later: logical instrument output product)
# -------------------------------
log.debug("test_deployAsPrimaryDevice: 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_year1], 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_deployAsPrimaryDevice: create L0 all data_process return")
# --------------------------------
# Activate the deployment
# --------------------------------
self.omsclient.activate_deployment(oldDeployment_id)
# -------------------------------
# Launch InstrumentAgentInstance Sim1, connect to the resource agent client
# -------------------------------
self.imsclient.start_instrument_agent_instance(instrument_agent_instance_id=oldInstAgentInstance_id)
self.addCleanup(
self.imsclient.stop_instrument_agent_instance, instrument_agent_instance_id=oldInstAgentInstance_id
)
# wait for start
instance_obj = self.imsclient.read_instrument_agent_instance(oldInstAgentInstance_id)
gate = ProcessStateGate(
self.processdispatchclient.read_process, instance_obj.agent_process_id, ProcessStateEnum.RUNNING
)
self.assertTrue(
gate.await(30),
"The instrument agent instance (%s) did not spawn in 30 seconds" % instance_obj.agent_process_id,
)
inst_agent1_instance_obj = self.imsclient.read_instrument_agent_instance(oldInstAgentInstance_id)
print "test_deployAsPrimaryDevice: Instrument agent instance obj: = ", inst_agent1_instance_obj
# Start a resource agent client to talk with the instrument agent.
self._ia_client_sim1 = ResourceAgentClient(
"iaclient Sim1", name=inst_agent1_instance_obj.agent_process_id, process=FakeProcess()
)
print "activate_instrument: got _ia_client_sim1 %s", self._ia_client_sim1
log.debug(" test_deployAsPrimaryDevice:: got _ia_client_sim1 %s", str(self._ia_client_sim1))
# -------------------------------
# Launch InstrumentAgentInstance Sim2, connect to the resource agent client
# -------------------------------
self.imsclient.start_instrument_agent_instance(instrument_agent_instance_id=newInstAgentInstance_id)
self.addCleanup(
self.imsclient.stop_instrument_agent_instance, instrument_agent_instance_id=newInstAgentInstance_id
)
# wait for start
instance_obj = self.imsclient.read_instrument_agent_instance(newInstAgentInstance_id)
gate = ProcessStateGate(
self.processdispatchclient.read_process, instance_obj.agent_process_id, ProcessStateEnum.RUNNING
)
self.assertTrue(
gate.await(30),
"The instrument agent instance (%s) did not spawn in 30 seconds" % instance_obj.agent_process_id,
)
inst_agent2_instance_obj = self.imsclient.read_instrument_agent_instance(newInstAgentInstance_id)
print "test_deployAsPrimaryDevice: Instrument agent instance obj: = ", inst_agent2_instance_obj
# Start a resource agent client to talk with the instrument agent.
self._ia_client_sim2 = ResourceAgentClient(
"iaclient Sim2", name=inst_agent2_instance_obj.agent_process_id, process=FakeProcess()
)
print "activate_instrument: got _ia_client_sim2 %s", self._ia_client_sim2
log.debug(" test_deployAsPrimaryDevice:: got _ia_client_sim2 %s", str(self._ia_client_sim2))
# -------------------------------
# Streaming Sim1 (old instrument)
# -------------------------------
cmd = AgentCommand(command=ResourceAgentEvent.INITIALIZE)
retval = self._ia_client_sim1.execute_agent(cmd)
log.debug("test_deployAsPrimaryDevice: initialize %s", str(retval))
log.debug("(L4-CI-SA-RQ-334): Sending go_active command ")
cmd = AgentCommand(command=ResourceAgentEvent.GO_ACTIVE)
reply = self._ia_client_sim1.execute_agent(cmd)
log.debug("test_deployAsPrimaryDevice: return value from go_active %s", str(reply))
self.assertTrue(reply)
cmd = AgentCommand(command=ResourceAgentEvent.GET_RESOURCE_STATE)
retval = self._ia_client_sim1.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_sim1.execute_agent(cmd)
log.debug("test_deployAsPrimaryDevice: run %s", str(reply))
gevent.sleep(2)
cmd = AgentCommand(command=SBE37ProtocolEvent.START_AUTOSAMPLE)
retval = self._ia_client_sim1.execute_resource(cmd)
log.debug("test_activateInstrumentSample: return from START_AUTOSAMPLE: %s", str(retval))
# -------------------------------
# Streaming Sim 2 (new instrument)
# -------------------------------
cmd = AgentCommand(command=ResourceAgentEvent.INITIALIZE)
retval = self._ia_client_sim2.execute_agent(cmd)
log.debug("test_deployAsPrimaryDevice: initialize_sim2 %s", str(retval))
log.debug("(L4-CI-SA-RQ-334): Sending go_active command ")
cmd = AgentCommand(command=ResourceAgentEvent.GO_ACTIVE)
reply = self._ia_client_sim2.execute_agent(cmd)
log.debug("test_deployAsPrimaryDevice: return value from go_active_sim2 %s", str(reply))
cmd = AgentCommand(command=ResourceAgentEvent.GET_RESOURCE_STATE)
retval = self._ia_client_sim2.execute_agent(cmd)
state = retval.result
log.debug("(L4-CI-SA-RQ-334): current state after sending go_active_sim2 command %s", str(state))
cmd = AgentCommand(command=ResourceAgentEvent.RUN)
reply = self._ia_client_sim2.execute_agent(cmd)
log.debug("test_deployAsPrimaryDevice: run %s", str(reply))
gevent.sleep(2)
cmd = AgentCommand(command=SBE37ProtocolEvent.START_AUTOSAMPLE)
retval = self._ia_client_sim2.execute_resource(cmd)
log.debug("test_activateInstrumentSample: return from START_AUTOSAMPLE_sim2: %s", str(retval))
gevent.sleep(10)
# -------------------------------
# Shutdown Sim1 (old instrument)
# -------------------------------
cmd = AgentCommand(command=SBE37ProtocolEvent.STOP_AUTOSAMPLE)
retval = self._ia_client_sim1.execute_resource(cmd)
log.debug("test_activateInstrumentSample: return from STOP_AUTOSAMPLE: %s", str(retval))
log.debug("test_activateInstrumentSample: calling reset ")
cmd = AgentCommand(command=ResourceAgentEvent.RESET)
reply = self._ia_client_sim1.execute_agent(cmd)
log.debug("test_activateInstrumentSample: return from reset %s", str(reply))
time.sleep(5)
# -------------------------------
# Shutdown Sim2 (old instrument)
# -------------------------------
cmd = AgentCommand(command=SBE37ProtocolEvent.STOP_AUTOSAMPLE)
retval = self._ia_client_sim2.execute_resource(cmd)
log.debug("test_activateInstrumentSample: return from STOP_AUTOSAMPLE_sim2: %s", str(retval))
log.debug("test_activateInstrumentSample: calling reset_sim2 ")
cmd = AgentCommand(command=ResourceAgentEvent.RESET)
reply = self._ia_client_sim1.execute_agent(cmd)
log.debug("test_activateInstrumentSample: return from reset_sim2 %s", str(reply))
time.sleep(5)
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 TestDataProductManagementServiceIntegration(IonIntegrationTestCase):
def setUp(self):
# Start container
#print 'instantiating container'
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
print 'started services'
# Now create client to DataProductManagementService
self.client = 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)
def test_get_last_update(self):
from ion.processes.data.last_update_cache import CACHE_DATASTORE_NAME
#------------------------------------------
# Create the environment
#------------------------------------------
definition = SBE37_CDM_stream_definition()
datastore_name = CACHE_DATASTORE_NAME
db = self.container.datastore_manager.get_datastore(datastore_name)
stream_def_id = self.pubsubcli.create_stream_definition(container=definition)
dp = DataProduct(name='dp1')
data_product_id = self.client.create_data_product(data_product=dp, stream_definition_id=stream_def_id)
stream_ids, garbage = self.rrclient.find_objects(data_product_id, PRED.hasStream, id_only=True)
stream_id = stream_ids[0]
fake_lu = LastUpdate()
fake_lu_doc = db._ion_object_to_persistence_dict(fake_lu)
db.create_doc(fake_lu_doc, object_id=stream_id)
#------------------------------------------
# Now execute
#------------------------------------------
res = self.client.get_last_update(data_product_id=data_product_id)
self.assertTrue(isinstance(res[stream_id], LastUpdate), 'retrieving documents failed')
def test_createDataProduct(self):
client = self.client
# create a stream definition for the data from the ctd simulator
ctd_stream_def = ctd_stream_definition()
ctd_stream_def_id = self.pubsubcli.create_stream_definition(container=ctd_stream_def, name='Simulated CTD data')
# test creating a new data product w/o a stream definition
print 'test_createDataProduct: Creating new data product w/o a stream definition (L4-CI-SA-RQ-308)'
dp_obj = IonObject(RT.DataProduct,
name='DP1',
description='some new dp')
try:
dp_id = client.create_data_product(dp_obj, '')
dp_obj = client.read_data_product(dp_id)
except BadRequest as ex:
self.fail("failed to create new data product: %s" %ex)
print 'new dp_id = ', dp_id
log.debug("test_createDataProduct: Data product info from registry %s (L4-CI-SA-RQ-308)", str(dp_obj))
# test creating a new data product with a stream definition
print 'Creating new data product with a stream definition'
dp_obj = IonObject(RT.DataProduct,
name='DP2',
description='some new dp')
try:
dp_id2 = client.create_data_product(dp_obj, ctd_stream_def_id)
except BadRequest as ex:
self.fail("failed to create new data product: %s" %ex)
print 'new dp_id = ', dp_id2
# test activate and suspend data product persistence
try:
client.activate_data_product_persistence(dp_id2, persist_data=True, persist_metadata=True)
time.sleep(3)
client.suspend_data_product_persistence(dp_id2)
except BadRequest as ex:
self.fail("failed to activate / deactivate data product persistence : %s" %ex)
pid = self.container.spawn_process(name='dummy_process_for_test',
module='pyon.ion.process',
cls='SimpleProcess',
config={})
dummy_process = self.container.proc_manager.procs[pid]
'''
publisher_registrar = StreamPublisherRegistrar(process=dummy_process, node=self.container.node)
self.ctd_stream1_publisher = publisher_registrar.create_publisher(stream_id=self.in_stream_id)
msg = {'num':'3'}
self.ctd_stream1_publisher.publish(msg)
time.sleep(1)
msg = {'num':'5'}
self.ctd_stream1_publisher.publish(msg)
time.sleep(1)
msg = {'num':'9'}
self.ctd_stream1_publisher.publish(msg)
'''
# test creating a duplicate data product
print 'Creating the same data product a second time (duplicate)'
dp_obj.description = 'the first dp'
try:
dp_id = client.create_data_product(dp_obj, ctd_stream_def_id)
except BadRequest as ex:
print ex
else:
self.fail("duplicate data product was created with the same name")
# test reading a non-existent data product
print 'reading non-existent data product'
try:
dp_obj = client.read_data_product('some_fake_id')
except NotFound as ex:
pass
else:
self.fail("non-existing data product was found during read: %s" %dp_obj)
# update a data product (tests read also)
print 'Updating data product'
# first get the existing dp object
try:
dp_obj = client.read_data_product(dp_id)
except NotFound as ex:
self.fail("existing data product was not found during read")
else:
pass
#print 'dp_obj = ', dp_obj
# now tweak the object
dp_obj.description = 'the very first dp'
# now write the dp back to the registry
try:
update_result = client.update_data_product(dp_obj)
except NotFound as ex:
self.fail("existing data product was not found during update")
except Conflict as ex:
self.fail("revision conflict exception during data product update")
# now get the dp back to see if it was updated
try:
dp_obj = client.read_data_product(dp_id)
except NotFound as ex:
self.fail("existing data product was not found during read")
else:
pass
#print 'dp_obj = ', dp_obj
self.assertTrue(dp_obj.description == 'the very first dp')
# now 'delete' the data product
print "deleting data product: ", dp_id
try:
client.delete_data_product(dp_id)
except NotFound as ex:
self.fail("existing data product was not found during delete")
# now try to get the deleted dp object
try:
dp_obj = client.read_data_product(dp_id)
except NotFound as ex:
pass
else:
self.fail("deleted data product was found during read")
# now try to delete the already deleted dp object
print "deleting non-existing data product"
try:
client.delete_data_product(dp_id)
except NotFound as ex:
pass
else:
self.fail("non-existing data product was found during delete")
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 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)
class TestDataProcessWithLookupTable(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.dataset_management = self.datasetclient
self.processdispatchclient = ProcessDispatcherServiceClient(
node=self.container.node)
def test_lookupTableProcessing(self):
#-------------------------------
# Create InstrumentModel
#-------------------------------
instModel_obj = IonObject(RT.InstrumentModel,
name='SBE37IMModel',
description="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.info(
'test_createTransformsThenActivateInstrument: new InstrumentModel id = %s',
instModel_id)
#-------------------------------
# Create InstrumentAgent
#-------------------------------
instAgent_obj = IonObject(
RT.InstrumentAgent,
name='agent007',
description="SBE37IMAgent",
driver_uri=
"http://sddevrepo.oceanobservatories.org/releases/seabird_sbe37smb_ooicore-0.0.1-py2.7.egg"
)
try:
instAgent_id = self.imsclient.create_instrument_agent(
instAgent_obj)
except BadRequest as ex:
self.fail("failed to create new InstrumentAgent: %s" % ex)
log.info(
'test_createTransformsThenActivateInstrument: new InstrumentAgent id = %s',
instAgent_id)
self.imsclient.assign_instrument_model_to_instrument_agent(
instModel_id, instAgent_id)
#-------------------------------
# Create InstrumentDevice and attachment for lookup table
#-------------------------------
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.info(
'test_createTransformsThenActivateInstrument: new InstrumentDevice id = %s',
instDevice_id)
contents = "this is the lookup table contents, replace with a file..."
att = IonObject(RT.Attachment,
name='deviceLookupTable',
content=base64.encodestring(contents),
keywords=['DataProcessInput'],
attachment_type=AttachmentType.ASCII)
deviceAttachment = self.rrclient.create_attachment(instDevice_id, att)
log.info(
'test_createTransformsThenActivateInstrument: InstrumentDevice attachment id = %s',
deviceAttachment)
#-------------------------------
# Create InstrumentAgentInstance to hold configuration information
#-------------------------------
instAgentInstance_obj = IonObject(RT.InstrumentAgentInstance,
name='SBE37IMAgentInstance',
description="SBE37IMAgentInstance")
self.imsclient.create_instrument_agent_instance(
instAgentInstance_obj, instAgent_id, instDevice_id)
#-------------------------------
# Create CTD Parsed as the first data product
#-------------------------------
# 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.pubsubclient.create_stream_definition(
name='SBE37_CDM', parameter_dictionary_id=pdict_id)
log.info(
'TestDataProcessWithLookupTable: new Stream Definition id = %s',
instDevice_id)
log.info('Creating new CDM data product with 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='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)
log.info('new ctd_parsed_data_product_id = %s',
ctd_parsed_data_product)
self.damsclient.assign_data_product(
input_resource_id=instDevice_id,
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.info('TestDataProcessWithLookupTable: Data product streams1 = %s',
stream_ids)
#-------------------------------
# Create CTD Raw as the second data product
#-------------------------------
log.info(
'TestDataProcessWithLookupTable: Creating new RAW data product with a stream definition'
)
raw_stream_def_id = self.pubsubclient.create_stream_definition(
name='SBE37_RAW', parameter_dictionary_id=pdict_id)
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)
log.info('new ctd_raw_data_product_id = %s', ctd_raw_data_product)
self.damsclient.assign_data_product(
input_resource_id=instDevice_id,
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.info('Data product streams2 = %s', stream_ids)
#-------------------------------
# L0 Conductivity - Temperature - Pressure: Data Process Definition
#-------------------------------
log.debug(
"TestDataProcessWithLookupTable: 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')
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)
contents = "this is the lookup table contents for L0 Conductivity - Temperature - Pressure: Data Process Definition, replace with a file..."
att = IonObject(RT.Attachment,
name='processDefinitionLookupTable',
content=base64.encodestring(contents),
keywords=['DataProcessInput'],
attachment_type=AttachmentType.ASCII)
processDefinitionAttachment = self.rrclient.create_attachment(
ctd_L0_all_dprocdef_id, att)
log.debug(
"TestDataProcessWithLookupTable:test_createTransformsThenActivateInstrument: InstrumentDevice attachment id %s",
str(processDefinitionAttachment))
processDefinitionAttachment_obj = self.rrclient.read(
processDefinitionAttachment)
log.debug(
"TestDataProcessWithLookupTable:test_createTransformsThenActivateInstrument: InstrumentDevice attachment obj %s",
str(processDefinitionAttachment_obj))
#-------------------------------
# L0 Conductivity - Temperature - Pressure: Output Data Products
#-------------------------------
outgoing_stream_l0_conductivity_id = self.pubsubclient.create_stream_definition(
name='L0_Conductivity', parameter_dictionary_id=pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
outgoing_stream_l0_conductivity_id,
ctd_L0_all_dprocdef_id,
binding='conductivity')
outgoing_stream_l0_pressure_id = self.pubsubclient.create_stream_definition(
name='L0_Pressure', parameter_dictionary_id=pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
outgoing_stream_l0_pressure_id,
ctd_L0_all_dprocdef_id,
binding='pressure')
outgoing_stream_l0_temperature_id = self.pubsubclient.create_stream_definition(
name='L0_Temperature', parameter_dictionary_id=pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(
outgoing_stream_l0_temperature_id,
ctd_L0_all_dprocdef_id,
binding='temperature')
self.output_products = {}
log.debug(
"TestDataProcessWithLookupTable: 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)
self.output_products['conductivity'] = ctd_l0_conductivity_output_dp_id
log.debug(
"TestDataProcessWithLookupTable: 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)
self.output_products['pressure'] = ctd_l0_pressure_output_dp_id
log.debug(
"TestDataProcessWithLookupTable: 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)
self.output_products['temperature'] = ctd_l0_temperature_output_dp_id
#-------------------------------
# L0 Conductivity - Temperature - Pressure: Create the data process
#-------------------------------
log.debug(
"TestDataProcessWithLookupTable: create L0 all data_process start")
try:
in_prods = []
in_prods.append(ctd_parsed_data_product)
ctd_l0_all_data_process_id = self.dataprocessclient.create_data_process(
ctd_L0_all_dprocdef_id, in_prods, self.output_products)
except BadRequest as ex:
self.fail("failed to create new data process: %s" % ex)
log.debug(
"TestDataProcessWithLookupTable: create L0 all data_process return"
)
data_process = self.rrclient.read(ctd_l0_all_data_process_id)
self.addCleanup(self.processdispatchclient.cancel_process,
data_process.process_id)
contents = "this is the lookup table contents for L0 Conductivity - Temperature - Pressure: Data Process , replace with a file..."
att = IonObject(RT.Attachment,
name='processLookupTable',
content=base64.encodestring(contents),
keywords=['DataProcessInput'],
attachment_type=AttachmentType.ASCII)
processAttachment = self.rrclient.create_attachment(
ctd_l0_all_data_process_id, att)
log.info(
'TestDataProcessWithLookupTable: InstrumentDevice attachment id = %s',
processAttachment)
class TestDriverEgg(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)
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 get_streamConfigs(self):
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')
return raw_config, parsed_config
##########################
#
# The following tests generate different agent configs and pass them to a common base test script
#
###########################
@unittest.skip("this test can't be run from coi services. it is missing dependencies")
def test_driverLaunchModuleNoURI(self):
raw_config, parsed_config = self.get_streamConfigs()
instAgent_obj = IonObject(RT.InstrumentAgent,
name='agent007',
description="SBE37IMAgent",
driver_module="mi.instrument.seabird.sbe37smb.ooicore.driver",
driver_class="SBE37Driver",
stream_configurations = [raw_config, parsed_config])
self.base_activateInstrumentSample(instAgent_obj)
def test_driverLaunchModuleWithURI(self):
raw_config, parsed_config = self.get_streamConfigs()
instAgent_obj = IonObject(RT.InstrumentAgent,
name='agent007',
description="SBE37IMAgent",
driver_module="mi.instrument.seabird.sbe37smb.ooicore.driver",
driver_class="SBE37Driver",
driver_uri=DRV_URI_GOOD,
stream_configurations = [raw_config, parsed_config])
self.base_activateInstrumentSample(instAgent_obj)
def test_driverLaunchNoModuleOnlyURI(self):
raw_config, parsed_config = self.get_streamConfigs()
instAgent_obj = IonObject(RT.InstrumentAgent,
name='agent007',
description="SBE37IMAgent",
#driver_module="mi.instrument.seabird.sbe37smb.ooicore.driver",
#driver_class="SBE37Driver",
driver_uri=DRV_URI_GOOD,
stream_configurations = [raw_config, parsed_config])
self.base_activateInstrumentSample(instAgent_obj)
def test_driverLaunchBogusModuleWithURI(self):
raw_config, parsed_config = self.get_streamConfigs()
instAgent_obj = IonObject(RT.InstrumentAgent,
name='agent007',
description="SBE37IMAgent",
driver_module="bogus",
driver_class="Bogus",
driver_uri=DRV_URI_GOOD,
stream_configurations = [raw_config, parsed_config])
self.base_activateInstrumentSample(instAgent_obj)
@unittest.skip("Launches an egg 'process' even though the egg download should produce error 404")
def test_driverLaunchNoModule404URI(self):
raw_config, parsed_config = self.get_streamConfigs()
instAgent_obj = IonObject(RT.InstrumentAgent,
name='agent007',
description="SBE37IMAgent",
#driver_module="mi.instrument.seabird.sbe37smb.ooicore.driver",
#driver_class="SBE37Driver",
driver_uri=DRV_URI_404,
stream_configurations = [raw_config, parsed_config])
self.base_activateInstrumentSample(instAgent_obj, False)
def test_driverLaunchNoModuleBadEggURI(self):
raw_config, parsed_config = self.get_streamConfigs()
instAgent_obj = IonObject(RT.InstrumentAgent,
name='agent007',
description="SBE37IMAgent",
#driver_module="mi.instrument.seabird.sbe37smb.ooicore.driver",
#driver_class="SBE37Driver",
driver_uri=DRV_URI_BAD,
stream_configurations = [raw_config, parsed_config])
self.base_activateInstrumentSample(instAgent_obj, True, False)
def base_activateInstrumentSample(self, instAgent_obj, expect_launch=True, expect_command=True):
"""
This method runs a test of launching a driver with a given agent configuration
"""
# Create InstrumentModel
instModel_obj = IonObject(RT.InstrumentModel,
name='SBE37IMModel',
description="SBE37IMModel")
instModel_id = self.imsclient.create_instrument_model(instModel_obj)
print 'new InstrumentModel id = %s ' % instModel_id
# Create InstrumentAgent
instAgent_id = self.imsclient.create_instrument_agent(instAgent_obj)
print 'new InstrumentAgent id = %s' % instAgent_id
self.imsclient.assign_instrument_model_to_instrument_agent(instModel_id, instAgent_id)
# Create InstrumentDevice
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)
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)
parsed_pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict',
id_only=True)
raw_pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_raw_param_dict',
id_only=True)
parsed_stream_def_id = self.pubsubcli.create_stream_definition(name='parsed',
parameter_dictionary_id=parsed_pdict_id)
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')
data_product_id1 = self.dpclient.create_data_product(data_product=dp_obj, stream_definition_id=parsed_stream_def_id)
print '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)
print '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)
print 'Data set for data_product_id1 = %s' % dataset_ids[0]
self.parsed_dataset = dataset_ids[0]
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)
print '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)
print '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)
print 'Data set for data_product_id2 = %s' % dataset_ids[0]
self.raw_dataset = dataset_ids[0]
# add start/stop for instrument agent
gevent.joinall([gevent.spawn(lambda:
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)
#wait for start
inst_agent_instance_obj = self.imsclient.read_instrument_agent_instance(instAgentInstance_id)
agent_process_id = ResourceAgentClient._get_agent_process_id(instDevice_id)
print "Agent process id is '%s'" % str(agent_process_id)
self.assertTrue(agent_process_id)
gate = ProcessStateGate(self.processdispatchclient.read_process,
agent_process_id,
ProcessStateEnum.RUNNING)
if not expect_launch:
self.assertFalse(gate.await(30), "The instance (%s) of bogus instrument agent spawned in 30 seconds ?!?" %
agent_process_id)
return
self.assertTrue(gate.await(30), "The instrument agent instance (%s) did not spawn in 30 seconds" %
agent_process_id)
print "Instrument Agent Instance successfully triggered ProcessStateGate as RUNNING"
#print '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=agent_process_id,
process=FakeProcess())
print "ResourceAgentClient created: %s" % str(self._ia_client)
print "Sending command=ResourceAgentEvent.INITIALIZE"
cmd = AgentCommand(command=ResourceAgentEvent.INITIALIZE)
if not expect_command:
self.assertRaises(ServerError, self._ia_client.execute_agent, cmd)
return
retval = self._ia_client.execute_agent(cmd)
print "Result of INITIALIZE: %s" % str(retval)
state = self._ia_client.get_agent_state()
self.assertEqual(state, ResourceAgentState.INACTIVE)
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
self.assertTrue(state, 'DRIVER_STATE_COMMAND')
cmd = AgentCommand(command=ResourceAgentEvent.RUN)
reply = self._ia_client.execute_agent(cmd)
self.assertTrue(reply.status == 0)
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)
print "Sending command=ResourceAgentEvent.RESET"
cmd = AgentCommand(command=ResourceAgentEvent.RESET)
reply = self._ia_client.execute_agent(cmd)
print "Result of RESET: %s" % str(reply)
def _setup_resources(self):
# TODO: some or all of this (or some variation) should move to DAMS'
# Build the test resources for the dataset
dams_cli = DataAcquisitionManagementServiceClient()
dpms_cli = DataProductManagementServiceClient()
rr_cli = ResourceRegistryServiceClient()
pubsub_cli = PubsubManagementServiceClient()
eda = ExternalDatasetAgent()
eda_id = dams_cli.create_external_dataset_agent(eda)
eda_inst = ExternalDatasetAgentInstance()
eda_inst_id = dams_cli.create_external_dataset_agent_instance(eda_inst, external_dataset_agent_id=eda_id)
# Create and register the necessary resources/objects
# Create DataProvider
dprov = ExternalDataProvider(institution=Institution(), contact=ContactInformation())
dprov.contact.name = 'Christopher Mueller'
dprov.contact.email = '*****@*****.**'
# Create DataSource
dsrc = DataSource(protocol_type='DAP', institution=Institution(), contact=ContactInformation())
dsrc.connection_params['base_data_url'] = ''
dsrc.contact.name='Tim Giguere'
dsrc.contact.email = '*****@*****.**'
# Create ExternalDataset
ds_name = 'usgs_test_dataset'
dset = ExternalDataset(name=ds_name, dataset_description=DatasetDescription(), update_description=UpdateDescription(), contact=ContactInformation())
# The usgs.nc test dataset is a download of the R1 dataset found here:
# http://thredds-test.oceanobservatories.org/thredds/dodsC/ooiciData/E66B1A74-A684-454A-9ADE-8388C2C634E5.ncml
dset.dataset_description.parameters['dataset_path'] = 'test_data/usgs.nc'
dset.dataset_description.parameters['temporal_dimension'] = 'time'
dset.dataset_description.parameters['zonal_dimension'] = 'lon'
dset.dataset_description.parameters['meridional_dimension'] = 'lat'
dset.dataset_description.parameters['vertical_dimension'] = 'z'
dset.dataset_description.parameters['variables'] = [
'water_temperature',
'streamflow',
'water_temperature_bottom',
'water_temperature_middle',
'specific_conductance',
'data_qualifier',
]
# Create DataSourceModel
dsrc_model = DataSourceModel(name='dap_model')
dsrc_model.model = 'DAP'
dsrc_model.data_handler_module = 'N/A'
dsrc_model.data_handler_class = 'N/A'
## Run everything through DAMS
ds_id = dams_cli.create_external_dataset(external_dataset=dset)
ext_dprov_id = dams_cli.create_external_data_provider(external_data_provider=dprov)
ext_dsrc_id = dams_cli.create_data_source(data_source=dsrc)
ext_dsrc_model_id = dams_cli.create_data_source_model(dsrc_model)
# Register the ExternalDataset
dproducer_id = dams_cli.register_external_data_set(external_dataset_id=ds_id)
# Or using each method
dams_cli.assign_data_source_to_external_data_provider(data_source_id=ext_dsrc_id, external_data_provider_id=ext_dprov_id)
dams_cli.assign_data_source_to_data_model(data_source_id=ext_dsrc_id, data_source_model_id=ext_dsrc_model_id)
dams_cli.assign_external_dataset_to_data_source(external_dataset_id=ds_id, data_source_id=ext_dsrc_id)
dams_cli.assign_external_dataset_to_agent_instance(external_dataset_id=ds_id, agent_instance_id=eda_inst_id)
# dams_cli.assign_external_data_agent_to_agent_instance(external_data_agent_id=self.eda_id, agent_instance_id=self.eda_inst_id)
#create temp streamdef so the data product can create the stream
streamdef_id = pubsub_cli.create_stream_definition(name="temp", description="temp")
craft = CoverageCraft
sdom, tdom = craft.create_domains()
sdom = sdom.dump()
tdom = tdom.dump()
parameter_dictionary = craft.create_parameters()
parameter_dictionary = parameter_dictionary.dump()
dprod = IonObject(RT.DataProduct,
name='usgs_parsed_product',
description='parsed usgs product',
temporal_domain = tdom,
spatial_domain = sdom)
# Generate the data product and associate it to the ExternalDataset
dproduct_id = dpms_cli.create_data_product(data_product=dprod,
stream_definition_id=streamdef_id,
parameter_dictionary=parameter_dictionary)
dams_cli.assign_data_product(input_resource_id=ds_id, data_product_id=dproduct_id)
stream_id, assn = rr_cli.find_objects(subject=dproduct_id, predicate=PRED.hasStream, object_type=RT.Stream, id_only=True)
stream_id = stream_id[0]
log.info('Created resources: {0}'.format({'ExternalDataset':ds_id, 'ExternalDataProvider':ext_dprov_id, 'DataSource':ext_dsrc_id, 'DataSourceModel':ext_dsrc_model_id, 'DataProducer':dproducer_id, 'DataProduct':dproduct_id, 'Stream':stream_id}))
#CBM: Use CF standard_names
# ttool = TaxyTool()
# ttool.add_taxonomy_set('time','time')
# ttool.add_taxonomy_set('lon','longitude')
# ttool.add_taxonomy_set('lat','latitude')
# ttool.add_taxonomy_set('z','water depth')
# ttool.add_taxonomy_set('water_temperature', 'average water temperature')
# ttool.add_taxonomy_set('water_temperature_bottom','water temperature at bottom of water column')
# ttool.add_taxonomy_set('water_temperature_middle', 'water temperature at middle of water column')
# ttool.add_taxonomy_set('streamflow', 'flow velocity of stream')
# ttool.add_taxonomy_set('specific_conductance', 'specific conductance of water')
# ttool.add_taxonomy_set('data_qualifier','data qualifier flag')
#
# ttool.add_taxonomy_set('coords','This group contains coordinate parameters')
# ttool.add_taxonomy_set('data','This group contains data parameters')
# Create the logger for receiving publications
self.create_stream_and_logger(name='usgs',stream_id=stream_id)
pdict = ParameterDictionary()
t_ctxt = ParameterContext('time', param_type=QuantityType(value_encoding=numpy.dtype('int64')))
t_ctxt.reference_frame = AxisTypeEnum.TIME
t_ctxt.uom = 'seconds since 01-01-1970'
pdict.add_context(t_ctxt)
lat_ctxt = ParameterContext('lat', param_type=QuantityType(value_encoding=numpy.dtype('float32')))
lat_ctxt.reference_frame = AxisTypeEnum.LAT
lat_ctxt.uom = 'degree_north'
pdict.add_context(lat_ctxt)
lon_ctxt = ParameterContext('lon', param_type=QuantityType(value_encoding=numpy.dtype('float32')))
lon_ctxt.reference_frame = AxisTypeEnum.LON
lon_ctxt.uom = 'degree_east'
pdict.add_context(lon_ctxt)
temp_ctxt = ParameterContext('water_temperature', param_type=QuantityType(value_encoding=numpy.dtype('float32')))
temp_ctxt.uom = 'degree_Celsius'
pdict.add_context(temp_ctxt)
temp_ctxt = ParameterContext('water_temperature_bottom', param_type=QuantityType(value_encoding=numpy.dtype('float32')))
temp_ctxt.uom = 'degree_Celsius'
pdict.add_context(temp_ctxt)
temp_ctxt = ParameterContext('water_temperature_middle', param_type=QuantityType(value_encoding=numpy.dtype('float32')))
temp_ctxt.uom = 'degree_Celsius'
pdict.add_context(temp_ctxt)
temp_ctxt = ParameterContext('z', param_type=QuantityType(value_encoding = numpy.dtype('float32')))
temp_ctxt.uom = 'meters'
pdict.add_context(temp_ctxt)
cond_ctxt = ParameterContext('streamflow', param_type=QuantityType(value_encoding=numpy.dtype('float32')))
cond_ctxt.uom = 'unknown'
pdict.add_context(cond_ctxt)
pres_ctxt = ParameterContext('specific_conductance', param_type=QuantityType(value_encoding=numpy.dtype('float32')))
pres_ctxt.uom = 'unknown'
pdict.add_context(pres_ctxt)
pres_ctxt = ParameterContext('data_qualifier', param_type=QuantityType(value_encoding=numpy.dtype('bool')))
pres_ctxt.uom = 'unknown'
pdict.add_context(pres_ctxt)
self.EDA_RESOURCE_ID = ds_id
self.EDA_NAME = ds_name
self.DVR_CONFIG['dh_cfg'] = {
'TESTING':True,
'stream_id':stream_id,
#'taxonomy':ttool.dump(),
'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':4,
}
class TestResourceRegistry(IonIntegrationTestCase):
def setUp(self):
# Start container
self._start_container()
self.container.start_rel_from_url("res/deploy/r2coi.yml")
# Now create client to bank service
self.resource_registry_service = ResourceRegistryServiceClient(node=self.container.node)
def test_crud(self):
# Some quick registry tests
# Can't call new with fields that aren't defined in the object's schema
with self.assertRaises(TypeError) as cm:
IonObject("UserInfo", name="name", foo="bar")
self.assertTrue(cm.exception.message == "__init__() got an unexpected keyword argument 'foo'")
# Can't call new with fields that aren't defined in the object's schema
with self.assertRaises(TypeError) as cm:
IonObject("UserInfo", {"name": "name", "foo": "bar"})
self.assertTrue(cm.exception.message == "__init__() got an unexpected keyword argument 'foo'")
# Can't call new with fields that aren't defined in the object's schema
with self.assertRaises(TypeError) as cm:
IonObject("UserInfo", {"name": "name"}, foo="bar")
self.assertTrue(cm.exception.message == "__init__() got an unexpected keyword argument 'foo'")
# Instantiate an object
obj = IonObject("UserInfo", name="name")
# Can set attributes that aren't in the object's schema
with self.assertRaises(AttributeError) as cm:
setattr(obj, "foo", "bar")
self.assertTrue(cm.exception.message == "'UserInfo' object has no attribute 'foo'")
# Cam't call update with object that hasn't been persisted
with self.assertRaises(BadRequest) as cm:
self.resource_registry_service.update(obj)
self.assertTrue(cm.exception.message.startswith("Object does not have required '_id' or '_rev' attribute"))
# Persist object and read it back
obj_id, obj_rev = self.resource_registry_service.create(obj)
read_obj = self.resource_registry_service.read(obj_id)
# Cannot create object with _id and _rev fields pre-set
with self.assertRaises(BadRequest) as cm:
self.resource_registry_service.create(read_obj)
self.assertTrue(cm.exception.message.startswith("Doc must not have '_id'"))
# Update object
read_obj.name = "John Doe"
self.resource_registry_service.update(read_obj)
# Update should fail with revision mismatch
with self.assertRaises(Conflict) as cm:
self.resource_registry_service.update(read_obj)
self.assertTrue(cm.exception.message.startswith("Object not based on most current version"))
# Re-read and update object
read_obj = self.resource_registry_service.read(obj_id)
self.resource_registry_service.update(read_obj)
# Delete object
self.resource_registry_service.delete(obj_id)
# Make sure read, update and delete report error
with self.assertRaises(NotFound) as cm:
self.resource_registry_service.read(obj_id)
self.assertTrue(cm.exception.message.startswith("Object with id"))
with self.assertRaises(NotFound) as cm:
self.resource_registry_service.update(read_obj)
self.assertTrue(cm.exception.message.startswith("Object with id"))
with self.assertRaises(NotFound) as cm:
self.resource_registry_service.delete(obj_id)
self.assertTrue(cm.exception.message.startswith("Object with id"))
# Owner creation tests
user = IonObject("ActorIdentity", name="user")
uid, _ = self.resource_registry_service.create(user)
inst = IonObject("InstrumentDevice", name="instrument")
iid, _ = self.resource_registry_service.create(inst, headers={"ion-actor-id": str(uid)})
ids, _ = self.resource_registry_service.find_objects(iid, PRED.hasOwner, RT.ActorIdentity, id_only=True)
self.assertEquals(len(ids), 1)
assoc = self.resource_registry_service.read(ids[0])
self.resource_registry_service.delete(iid)
with self.assertRaises(NotFound) as ex:
assoc = self.resource_registry_service.read(iid)
def test_lifecycle(self):
att = IonObject("InstrumentDevice", name="mine", description="desc")
rid, rev = self.resource_registry_service.create(att)
att1 = self.resource_registry_service.read(rid)
self.assertEquals(att1.name, att.name)
self.assertEquals(att1.lcstate, LCS.DRAFT_PRIVATE)
new_state = self.resource_registry_service.execute_lifecycle_transition(rid, LCE.PLAN)
self.assertEquals(new_state, LCS.PLANNED_PRIVATE)
att2 = self.resource_registry_service.read(rid)
self.assertEquals(att2.lcstate, LCS.PLANNED_PRIVATE)
with self.assertRaises(BadRequest) as cm:
self.resource_registry_service.execute_lifecycle_transition(rid, LCE.UNANNOUNCE)
self.assertTrue(
"type=InstrumentDevice, lcstate=PLANNED_PRIVATE has no transition for event unannounce"
in cm.exception.message
)
new_state = self.resource_registry_service.execute_lifecycle_transition(rid, LCE.DEVELOP)
self.assertEquals(new_state, LCS.DEVELOPED_PRIVATE)
self.assertRaises(
iex.BadRequest,
self.resource_registry_service.execute_lifecycle_transition,
resource_id=rid,
transition_event="NONE##",
)
self.resource_registry_service.set_lifecycle_state(rid, LCS.INTEGRATED_PRIVATE)
att1 = self.resource_registry_service.read(rid)
self.assertEquals(att1.lcstate, LCS.INTEGRATED_PRIVATE)
def test_association(self):
# Instantiate ActorIdentity object
actor_identity_obj = IonObject("ActorIdentity", name="name")
actor_identity_obj_id, actor_identity_obj_rev = self.resource_registry_service.create(actor_identity_obj)
read_actor_identity_obj = self.resource_registry_service.read(actor_identity_obj_id)
# Instantiate UserInfo object
user_info_obj = IonObject("UserInfo", name="name")
user_info_obj_id, user_info_obj_rev = self.resource_registry_service.create(user_info_obj)
read_user_info_obj = self.resource_registry_service.read(user_info_obj_id)
# Test create failures
with self.assertRaises(AttributeError) as cm:
self.resource_registry_service.create_association(actor_identity_obj_id, PRED.bogus, user_info_obj_id)
self.assertTrue(cm.exception.message == "bogus")
# Predicate not provided
with self.assertRaises(BadRequest) as cm:
self.resource_registry_service.create_association(actor_identity_obj_id, None, user_info_obj_id)
self.assertTrue(cm.exception.message == "Association must have all elements set")
# Bad association type
with self.assertRaises(BadRequest) as cm:
self.resource_registry_service.create_association(
actor_identity_obj_id, PRED.hasInfo, user_info_obj_id, "bogustype"
)
self.assertTrue(cm.exception.message == "Unsupported assoc_type: bogustype")
# Subject id or object not provided
with self.assertRaises(BadRequest) as cm:
self.resource_registry_service.create_association(None, PRED.hasInfo, user_info_obj_id)
self.assertTrue(cm.exception.message == "Association must have all elements set")
# Object id or object not provided
with self.assertRaises(BadRequest) as cm:
self.resource_registry_service.create_association(actor_identity_obj_id, PRED.hasInfo, None)
self.assertTrue(cm.exception.message == "Association must have all elements set")
# Bad subject id
with self.assertRaises(NotFound) as cm:
self.resource_registry_service.create_association("bogus", PRED.hasInfo, user_info_obj_id)
self.assertTrue(cm.exception.message == "Object with id bogus does not exist.")
# Bad object id
with self.assertRaises(NotFound) as cm:
self.resource_registry_service.create_association(actor_identity_obj_id, PRED.hasInfo, "bogus")
self.assertTrue(cm.exception.message == "Object with id bogus does not exist.")
# _id missing from subject
with self.assertRaises(BadRequest) as cm:
self.resource_registry_service.create_association(actor_identity_obj, PRED.hasInfo, user_info_obj_id)
self.assertTrue(cm.exception.message == "Subject id or rev not available")
# _id missing from object
with self.assertRaises(BadRequest) as cm:
self.resource_registry_service.create_association(actor_identity_obj_id, PRED.hasInfo, user_info_obj)
self.assertTrue(cm.exception.message == "Object id or rev not available")
# Wrong subject type
with self.assertRaises(BadRequest) as cm:
self.resource_registry_service.create_association(user_info_obj_id, PRED.hasInfo, user_info_obj_id)
self.assertTrue(cm.exception.message == "Illegal subject type UserInfo for predicate hasInfo")
# Wrong object type
with self.assertRaises(BadRequest) as cm:
self.resource_registry_service.create_association(
actor_identity_obj_id, PRED.hasInfo, actor_identity_obj_id
)
self.assertTrue(cm.exception.message == "Illegal object type ActorIdentity for predicate hasInfo")
# Create two different association types between the same subject and predicate
assoc_id1, assoc_rev1 = self.resource_registry_service.create_association(
actor_identity_obj_id, PRED.hasInfo, user_info_obj_id
)
# Read object, subject
res_obj1 = self.resource_registry_service.read_object(actor_identity_obj_id, PRED.hasInfo, RT.UserInfo)
self.assertEquals(res_obj1._id, user_info_obj_id)
res_obj1 = self.resource_registry_service.read_object(
actor_identity_obj_id, PRED.hasInfo, RT.UserInfo, id_only=True
)
self.assertEquals(res_obj1, user_info_obj_id)
res_obj2 = self.resource_registry_service.read_subject(RT.ActorIdentity, PRED.hasInfo, user_info_obj_id)
self.assertEquals(res_obj2._id, actor_identity_obj_id)
res_obj2 = self.resource_registry_service.read_subject(
RT.ActorIdentity, PRED.hasInfo, user_info_obj_id, id_only=True
)
self.assertEquals(res_obj2, actor_identity_obj_id)
# Create a similar association to a specific revision
# TODO: This is not a supported case so far
assoc_id2, assoc_rev2 = self.resource_registry_service.create_association(
actor_identity_obj_id, PRED.hasInfo, user_info_obj_id, "H2R"
)
# Search for associations (good cases)
ret1 = self.resource_registry_service.find_associations(actor_identity_obj_id, PRED.hasInfo, user_info_obj_id)
ret2 = self.resource_registry_service.find_associations(actor_identity_obj_id, PRED.hasInfo)
ret3 = self.resource_registry_service.find_associations(None, PRED.hasInfo)
self.assertTrue(len(ret1) == len(ret2) == len(ret3))
self.assertTrue(ret1[0]._id == ret2[0]._id == ret3[0]._id)
ret1 = self.resource_registry_service.find_associations(
actor_identity_obj_id, PRED.hasInfo, user_info_obj_id, None, False
)
ret2 = self.resource_registry_service.find_associations(actor_identity_obj_id, PRED.hasInfo, id_only=False)
ret3 = self.resource_registry_service.find_associations(predicate=PRED.hasInfo, id_only=False)
self.assertTrue(ret1 == ret2 == ret3)
# Search for associations (good cases)
ret1 = self.resource_registry_service.find_associations(
read_actor_identity_obj, PRED.hasInfo, read_user_info_obj
)
ret2 = self.resource_registry_service.find_associations(read_actor_identity_obj, PRED.hasInfo)
ret3 = self.resource_registry_service.find_associations(None, PRED.hasInfo)
self.assertTrue(len(ret1) == len(ret2) == len(ret3))
self.assertTrue(ret1[0]._id == ret2[0]._id == ret3[0]._id)
ret1 = self.resource_registry_service.find_associations(
actor_identity_obj_id, PRED.hasInfo, read_user_info_obj, None, True
)
ret2 = self.resource_registry_service.find_associations(actor_identity_obj_id, PRED.hasInfo, id_only=True)
ret3 = self.resource_registry_service.find_associations(predicate=PRED.hasInfo, id_only=True)
self.assertTrue(ret1 == ret2 == ret3)
# Search for associations (bad cases)
with self.assertRaises(BadRequest) as cm:
self.resource_registry_service.find_associations(None, None, None)
self.assertTrue(cm.exception.message == "Illegal parameters")
with self.assertRaises(BadRequest) as cm:
self.resource_registry_service.find_associations(actor_identity_obj_id, None, None)
self.assertTrue(cm.exception.message == "Illegal parameters")
with self.assertRaises(BadRequest) as cm:
self.resource_registry_service.find_associations(None, None, user_info_obj_id)
self.assertTrue(cm.exception.message == "Illegal parameters")
with self.assertRaises(BadRequest) as cm:
self.resource_registry_service.find_associations(actor_identity_obj, None, user_info_obj_id)
self.assertTrue(cm.exception.message == "Object id not available in subject")
with self.assertRaises(BadRequest) as cm:
self.resource_registry_service.find_associations(actor_identity_obj_id, None, user_info_obj)
self.assertTrue(cm.exception.message == "Object id not available in object")
# Find subjects (good cases)
subj_ret1 = self.resource_registry_service.find_subjects(RT.ActorIdentity, PRED.hasInfo, user_info_obj_id, True)
subj_ret2 = self.resource_registry_service.find_subjects(
RT.ActorIdentity, PRED.hasInfo, read_user_info_obj, True
)
self.assertTrue(len(subj_ret1) == len(subj_ret2))
self.assertTrue(subj_ret1[0] == subj_ret2[0])
self.assertTrue(subj_ret1[1][0]._id == subj_ret2[1][0]._id)
subj_ret3 = self.resource_registry_service.find_subjects(None, PRED.hasInfo, user_info_obj_id, True)
subj_ret4 = self.resource_registry_service.find_subjects(None, None, read_user_info_obj, True)
self.assertTrue(len(subj_ret3) == len(subj_ret4))
self.assertTrue(subj_ret3[0] == subj_ret4[0])
self.assertTrue(subj_ret3[1][0]._id == subj_ret4[1][0]._id)
subj_ret5 = self.resource_registry_service.find_subjects(None, PRED.hasInfo, user_info_obj_id, False)
subj_ret6 = self.resource_registry_service.find_subjects(None, None, read_user_info_obj, False)
self.assertTrue(len(subj_ret5) == len(subj_ret6))
self.assertTrue(subj_ret5[0][0]._id == subj_ret6[0][0]._id)
self.assertTrue(subj_ret5[1][0]._id == subj_ret6[1][0]._id)
# Find subjects (bad cases)
with self.assertRaises(BadRequest) as cm:
self.resource_registry_service.find_subjects(None, None, None)
self.assertTrue(cm.exception.message == "Must provide object")
with self.assertRaises(AttributeError) as cm:
self.resource_registry_service.find_subjects(RT.UserCredentials, PRED.bogus, user_info_obj_id, True)
self.assertTrue(cm.exception.message == "bogus")
ret = self.resource_registry_service.find_subjects(RT.UserInfo, PRED.hasCredentials, user_info_obj_id, True)
self.assertTrue(len(ret[0]) == 0)
ret = self.resource_registry_service.find_subjects(RT.UserCredentials, PRED.hasInfo, user_info_obj_id, True)
self.assertTrue(len(ret[0]) == 0)
with self.assertRaises(BadRequest) as cm:
self.resource_registry_service.find_subjects(RT.UserCredentials, PRED.hasInfo, user_info_obj, True)
self.assertTrue(cm.exception.message == "Object id not available in object")
# Find objects (good cases)
subj_ret1 = self.resource_registry_service.find_objects(actor_identity_obj_id, PRED.hasInfo, RT.UserInfo, True)
subj_ret2 = self.resource_registry_service.find_objects(
read_actor_identity_obj, PRED.hasInfo, RT.UserInfo, True
)
self.assertTrue(len(subj_ret1) == len(subj_ret2))
self.assertTrue(subj_ret1[0] == subj_ret2[0])
self.assertTrue(subj_ret1[1][0]._id == subj_ret2[1][0]._id)
subj_ret3 = self.resource_registry_service.find_objects(actor_identity_obj_id, PRED.hasInfo, None, True)
subj_ret4 = self.resource_registry_service.find_objects(actor_identity_obj_id, None, None, True)
self.assertTrue(len(subj_ret3) == len(subj_ret4))
self.assertTrue(subj_ret3[0] == subj_ret4[0])
self.assertTrue(subj_ret3[1][0]._id == subj_ret4[1][0]._id)
subj_ret5 = self.resource_registry_service.find_objects(actor_identity_obj_id, PRED.hasInfo, None, False)
subj_ret6 = self.resource_registry_service.find_objects(read_actor_identity_obj, None, None, False)
self.assertTrue(len(subj_ret5) == len(subj_ret6))
self.assertTrue(subj_ret5[0][0]._id == subj_ret6[0][0]._id)
self.assertTrue(subj_ret5[1][0]._id == subj_ret6[1][0]._id)
# Find objects (bad cases)
with self.assertRaises(BadRequest) as cm:
self.resource_registry_service.find_objects(None, None, None)
self.assertTrue(cm.exception.message == "Must provide subject")
with self.assertRaises(AttributeError) as cm:
self.resource_registry_service.find_objects(actor_identity_obj_id, PRED.bogus, RT.UserCredentials, True)
self.assertTrue(cm.exception.message == "bogus")
ret = self.resource_registry_service.find_objects(
actor_identity_obj_id, PRED.hasCredentials, RT.ActorIdentity, True
)
self.assertTrue(len(ret[0]) == 0)
ret = self.resource_registry_service.find_objects(actor_identity_obj_id, PRED.hasInfo, RT.UserCredentials, True)
self.assertTrue(len(ret[0]) == 0)
with self.assertRaises(BadRequest) as cm:
self.resource_registry_service.find_objects(actor_identity_obj, PRED.hasInfo, RT.UserInfo, True)
self.assertTrue(cm.exception.message == "Object id not available in subject")
# Get association (bad cases)
with self.assertRaises(BadRequest) as cm:
self.resource_registry_service.get_association(None, None, None)
self.assertTrue(cm.exception.message == "Illegal parameters")
with self.assertRaises(BadRequest) as cm:
self.resource_registry_service.get_association(actor_identity_obj_id, None, None)
self.assertTrue(cm.exception.message == "Illegal parameters")
with self.assertRaises(BadRequest) as cm:
self.resource_registry_service.get_association(None, None, user_info_obj_id)
self.assertTrue(cm.exception.message == "Illegal parameters")
with self.assertRaises(BadRequest) as cm:
self.resource_registry_service.get_association(actor_identity_obj, None, user_info_obj_id)
self.assertTrue(cm.exception.message == "Object id not available in subject")
with self.assertRaises(BadRequest) as cm:
self.resource_registry_service.get_association(actor_identity_obj_id, None, user_info_obj)
self.assertTrue(cm.exception.message == "Object id not available in object")
# Delete one of the associations
self.resource_registry_service.delete_association(assoc_id2)
assoc = self.resource_registry_service.get_association(actor_identity_obj_id, PRED.hasInfo, user_info_obj_id)
self.assertTrue(assoc._id == assoc_id1)
# Delete (bad cases)
with self.assertRaises(NotFound) as cm:
self.resource_registry_service.delete_association("bogus")
self.assertTrue(cm.exception.message == "Object with id bogus does not exist.")
# Delete other association
self.resource_registry_service.delete_association(assoc_id1)
# Delete resources
self.resource_registry_service.delete(actor_identity_obj_id)
self.resource_registry_service.delete(user_info_obj_id)
def test_find_resources(self):
with self.assertRaises(BadRequest) as cm:
self.resource_registry_service.find_resources(RT.UserInfo, LCS.DRAFT, "name", False)
self.assertTrue(cm.exception.message == "find by name does not support lcstate")
ret = self.resource_registry_service.find_resources(RT.UserInfo, None, "name", False)
self.assertTrue(len(ret[0]) == 0)
# Instantiate an object
obj = IonObject("InstrumentDevice", name="name")
# Persist object and read it back
obj_id, obj_rev = self.resource_registry_service.create(obj)
read_obj = self.resource_registry_service.read(obj_id)
ret = self.resource_registry_service.find_resources(RT.InstrumentDevice, None, "name", False)
self.assertTrue(len(ret[0]) == 1)
self.assertTrue(ret[0][0]._id == read_obj._id)
ret = self.resource_registry_service.find_resources(RT.InstrumentDevice, LCS.DRAFT, None, False)
self.assertTrue(len(ret[0]) == 1)
self.assertTrue(ret[0][0]._id == read_obj._id)
# @attr('INT', group='coirr1')
# class TestResourceRegistry1(IonIntegrationTestCase):
#
# def setUp(self):
# # Start container
# self._start_container()
# self.container.start_rel_from_url('res/deploy/r2coi.yml')
#
# # Now create client to bank service
# self.resource_registry_service = ResourceRegistryServiceClient(node=self.container.node)
def test_attach(self):
binary = "\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00\x00\x00\x10\x00\x00\x00\x10\x08\x03\x00\x00\x00(-\x0fS\x00\x00\x00\x03sBIT\x08\x08\x08\xdb\xe1O\xe0\x00\x00\x00~PLTEf3\x00\xfc\xf7\xe0\xee\xcc\x00\xd3\xa0\x00\xcc\x99\x00\xec\xcdc\x9fl\x00\xdd\xb2\x00\xff\xff\xff|I\x00\xf9\xdb\x00\xdd\xb5\x19\xd9\xad\x10\xb6\x83\x00\xf8\xd6\x00\xf2\xc5\x00\xd8\xab\x00n;\x00\xff\xcc\x00\xd6\xa4\t\xeb\xb8\x00\x83Q\x00\xadz\x00\xff\xde\x00\xff\xd6\x00\xd6\xa3\x00\xdf\xaf\x00\xde\xad\x10\xbc\x8e\x00\xec\xbe\x00\xec\xd4d\xff\xe3\x00tA\x00\xf6\xc4\x00\xf6\xce\x00\xa5u\x00\xde\xa5\x00\xf7\xbd\x00\xd6\xad\x08\xdd\xaf\x19\x8cR\x00\xea\xb7\x00\xee\xe9\xdf\xc5\x00\x00\x00\tpHYs\x00\x00\n\xf0\x00\x00\n\xf0\x01B\xac4\x98\x00\x00\x00\x1ctEXtSoftware\x00Adobe Fireworks CS4\x06\xb2\xd3\xa0\x00\x00\x00\x15tEXtCreation Time\x0029/4/09Oq\xfdE\x00\x00\x00\xadIDAT\x18\x95M\x8f\x8d\x0e\x820\x0c\x84;ZdC~f\x07\xb2\x11D\x86\x89\xe8\xfb\xbf\xa0+h\xe2\x97\\\xd2^\x93\xb6\x07:1\x9f)q\x9e\xa5\x06\xad\xd5\x13\x8b\xac,\xb3\x02\x9d\x12C\xa1-\xef;M\x08*\x19\xce\x0e?\x1a\xeb4\xcc\xd4\x0c\x831\x87V\xca\xa1\x1a\xd3\x08@\xe4\xbd\xb7\x15P;\xc8\xd4{\x91\xbf\x11\x90\xffg\xdd\x8di\xfa\xb6\x0bs2Z\xff\xe8yg2\xdc\x11T\x96\xc7\x05\xa5\xef\x96+\xa7\xa59E\xae\xe1\x84cm^1\xa6\xb3\xda\x85\xc8\xd8/\x17se\x0eN^'\x8c\xc7\x8e\x88\xa8\xf6p\x8e\xc2;\xc6.\xd0\x11.\x91o\x12\x7f\xcb\xa5\xfe\x00\x89]\x10:\xf5\x00\x0e\xbf\x00\x00\x00\x00IEND\xaeB`\x82"
# Owner creation tests
instrument = IonObject("InstrumentDevice", name="instrument")
iid, _ = self.resource_registry_service.create(instrument)
att = Attachment(content=binary, attachment_type=AttachmentType.BLOB)
aid1 = self.resource_registry_service.create_attachment(iid, att)
att1 = self.resource_registry_service.read_attachment(aid1)
self.assertEquals(binary, att1.content)
import base64
att = Attachment(content=base64.encodestring(binary), attachment_type=AttachmentType.ASCII)
aid2 = self.resource_registry_service.create_attachment(iid, att)
att1 = self.resource_registry_service.read_attachment(aid2)
self.assertEquals(binary, base64.decodestring(att1.content))
att_ids = self.resource_registry_service.find_attachments(iid, id_only=True)
self.assertEquals(att_ids, [aid1, aid2])
att_ids = self.resource_registry_service.find_attachments(iid, id_only=True, descending=True)
self.assertEquals(att_ids, [aid2, aid1])
att_ids = self.resource_registry_service.find_attachments(iid, id_only=True, descending=True, limit=1)
self.assertEquals(att_ids, [aid2])
atts = self.resource_registry_service.find_attachments(iid, id_only=False, limit=1)
self.assertEquals(atts[0].content, att1.content)
self.resource_registry_service.delete_attachment(aid1)
att_ids = self.resource_registry_service.find_attachments(iid, id_only=True)
self.assertEquals(att_ids, [aid2])
self.resource_registry_service.delete_attachment(aid2)
att_ids = self.resource_registry_service.find_attachments(iid, id_only=True)
self.assertEquals(att_ids, [])
class EventManagementIntTest(IonIntegrationTestCase):
def setUp(self):
super(EventManagementIntTest, self).setUp()
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
self.event_management = EventManagementServiceClient()
self.rrc = ResourceRegistryServiceClient()
self.process_dispatcher = ProcessDispatcherServiceClient()
self.pubsub = PubsubManagementServiceClient()
self.dataset_management = DatasetManagementServiceClient()
self.data_product_management = DataProductManagementServiceClient()
self.queue_cleanup = []
self.exchange_cleanup = []
def tearDown(self):
for queue in self.queue_cleanup:
xn = self.container.ex_manager.create_xn_queue(queue)
xn.delete()
for exchange in self.exchange_cleanup:
xp = self.container.ex_manager.create_xp(exchange)
xp.delete()
def test_create_read_update_delete_event_type(self):
"""
Test that the CRUD method for event types work correctly
"""
event_type = EventType(name="an event type")
event_type.origin = 'instrument_1'
# create
event_type_id = self.event_management.create_event_type(event_type)
self.assertIsNotNone(event_type_id)
# read
read_event_type = self.event_management.read_event_type(event_type_id)
self.assertEquals(read_event_type.name, event_type.name)
self.assertEquals(read_event_type.origin, event_type.origin)
#update
read_event_type.origin = 'instrument_2'
read_event_type.producer = 'producer'
self.event_management.update_event_type(read_event_type)
updated_event_type = self.event_management.read_event_type(event_type_id)
self.assertEquals(updated_event_type.origin, 'instrument_2')
self.assertEquals(updated_event_type.producer, 'producer')
# delete
self.event_management.delete_event_type(event_type_id)
with self.assertRaises(NotFound):
self.event_management.read_event_type(event_type_id)
def test_create_read_update_delete_event_process_definition(self):
"""
Test that the CRUD methods for the event process definitions work correctly
"""
# Create
module = 'ion.processes.data.transforms.event_alert_transform'
class_name = 'EventAlertTransform'
procdef_id = self.event_management.create_event_process_definition(version='ver_1',
module=module,
class_name=class_name,
uri='http://hare.com',
arguments=['arg1', 'arg2'],
event_types=['ExampleDetectableEvent', 'type_2'],
sub_types=['sub_type_1'])
# Read
read_process_def = self.event_management.read_event_process_definition(procdef_id)
self.assertEquals(read_process_def.executable['module'], module)
self.assertEquals(read_process_def.executable['class'], class_name)
# Update
self.event_management.update_event_process_definition(event_process_definition_id=procdef_id,
class_name='StreamAlertTransform',
arguments=['arg3', 'arg4'],
event_types=['event_type_new'])
updated_event_process_def = self.event_management.read_event_process_definition(procdef_id)
self.assertEquals(updated_event_process_def.executable['class'], 'StreamAlertTransform')
self.assertEquals(updated_event_process_def.arguments, ['arg3', 'arg4'])
definition = updated_event_process_def.definition
self.assertEquals(updated_event_process_def.definition.event_types, ['event_type_new'])
# Delete
self.event_management.delete_event_process_definition(procdef_id)
with self.assertRaises(NotFound):
self.event_management.read_event_process_definition(procdef_id)
def test_event_in_stream_out_transform(self):
"""
Test the event-in/stream-out transform
"""
stream_id, _ = self.pubsub.create_stream('test_stream', exchange_point='science_data')
self.exchange_cleanup.append('science_data')
#---------------------------------------------------------------------------------------------
# Launch a ctd transform
#---------------------------------------------------------------------------------------------
# Create the process definition
process_definition = ProcessDefinition(
name='EventToStreamTransform',
description='For testing an event-in/stream-out transform')
process_definition.executable['module']= 'ion.processes.data.transforms.event_in_stream_out_transform'
process_definition.executable['class'] = 'EventToStreamTransform'
proc_def_id = self.process_dispatcher.create_process_definition(process_definition=process_definition)
# Build the config
config = DotDict()
config.process.queue_name = 'test_queue'
config.process.exchange_point = 'science_data'
config.process.publish_streams.output = stream_id
config.process.event_type = 'ExampleDetectableEvent'
config.process.variables = ['voltage', 'temperature' ]
# Schedule the process
pid = self.process_dispatcher.schedule_process(process_definition_id=proc_def_id, configuration=config)
self.addCleanup(self.process_dispatcher.cancel_process,pid)
#---------------------------------------------------------------------------------------------
# Create a subscriber for testing
#---------------------------------------------------------------------------------------------
ar_cond = gevent.event.AsyncResult()
def subscriber_callback(m, r, s):
ar_cond.set(m)
sub = StandaloneStreamSubscriber('sub', subscriber_callback)
self.addCleanup(sub.stop)
sub_id = self.pubsub.create_subscription('subscription_cond',
stream_ids=[stream_id],
exchange_name='sub')
self.pubsub.activate_subscription(sub_id)
self.queue_cleanup.append(sub.xn.queue)
sub.start()
gevent.sleep(4)
#---------------------------------------------------------------------------------------------
# Publish an event. The transform has been configured to receive this event
#---------------------------------------------------------------------------------------------
event_publisher = EventPublisher("ExampleDetectableEvent")
event_publisher.publish_event(origin = 'fake_origin', voltage = '5', temperature = '273')
# Assert that the transform processed the event and published data on the output stream
result_cond = ar_cond.get(timeout=10)
self.assertTrue(result_cond)
def test_create_read_delete_event_process(self):
"""
Test that the CRUD methods for the event processes work correctly
"""
#---------------------------------------------------------------------------------------------
# Create a process definition
#---------------------------------------------------------------------------------------------
# Create
module = 'ion.processes.data.transforms.event_alert_transform'
class_name = 'EventAlertTransform'
procdef_id = self.event_management.create_event_process_definition(version='ver_1',
module=module,
class_name=class_name,
uri='http://hare.com',
arguments=['arg1', 'arg2'],
event_types=['ExampleDetectableEvent', 'type_2'],
sub_types=['sub_type_1'])
# Read
read_process_def = self.event_management.read_event_process_definition(procdef_id)
self.assertEquals(read_process_def.arguments, ['arg1', 'arg2'])
#---------------------------------------------------------------------------------------------
# Use the process definition to create a process
#---------------------------------------------------------------------------------------------
# Create a stream
param_dict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict',id_only=True)
stream_def_id = self.pubsub.create_stream_definition('cond_stream_def', parameter_dictionary_id=param_dict_id)
tdom, sdom = time_series_domain()
tdom, sdom = tdom.dump(), sdom.dump()
dp_obj = IonObject(RT.DataProduct,
name='DP1',
description='some new dp',
temporal_domain = tdom,
spatial_domain = sdom)
# Create a data product
data_product_id = self.data_product_management.create_data_product(data_product=dp_obj, stream_definition_id=stream_def_id)
output_products = {}
output_products['conductivity'] = data_product_id
# Create an event process
event_process_id = self.event_management.create_event_process( process_definition_id=procdef_id,
event_types=['ExampleDetectableEvent','DetectionEvent'],
sub_types=['s1', 's2'],
origins=['or_1', 'or_2'],
origin_types=['or_t1', 'or_t2'],
out_data_products = output_products)
self.addCleanup(self.process_dispatcher.cancel_process, event_process_id)
#---------------------------------------------------------------------------------------------
# Read the event process object and make assertions
#--------------------------------------------------------------------------------------------- out_data_products={'conductivity': data_product_id})
event_process_obj = self.event_management.read_event_process(event_process_id=event_process_id)
# Get the stream associated with the data product for the sake of making assertions
stream_ids, _ = self.rrc.find_objects(data_product_id, PRED.hasStream, id_only=True)
stream_id = stream_ids[0]
# Assertions!
self.assertEquals(event_process_obj.detail.output_streams['conductivity'], stream_id)
self.assertEquals(event_process_obj.detail.event_types, ['ExampleDetectableEvent', 'DetectionEvent'])
self.assertEquals(event_process_obj.detail.sub_types, ['s1', 's2'])
self.assertEquals(event_process_obj.detail.origins, ['or_1', 'or_2'])
self.assertEquals(event_process_obj.detail.origin_types, ['or_t1', 'or_t2'])
class TestIntDataProcessManagementServiceMultiOut(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.dataset_management = self.datasetclient
def test_createDataProcess(self):
#---------------------------------------------------------------------------
# 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')
dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
# Make assertion on the newly registered data process definition
data_process_definition = self.rrclient.read(dprocdef_id)
self.assertEquals(data_process_definition.name, 'ctd_L0_all')
self.assertEquals(data_process_definition.description, 'transform ctd package into three separate L0 streams')
self.assertEquals(data_process_definition.module, 'ion.processes.data.transforms.ctd.ctd_L0_all')
self.assertEquals(data_process_definition.class_name, 'ctd_L0_all')
# Read the data process definition using data process management and make assertions
dprocdef_obj = self.dataprocessclient.read_data_process_definition(dprocdef_id)
self.assertEquals(dprocdef_obj.class_name,'ctd_L0_all')
self.assertEquals(dprocdef_obj.module,'ion.processes.data.transforms.ctd.ctd_L0_all')
#---------------------------------------------------------------------------
# Create an input instrument
#---------------------------------------------------------------------------
instrument_obj = IonObject(RT.InstrumentDevice, name='Inst1',description='an instrument that is creating the data product')
instrument_id, rev = self.rrclient.create(instrument_obj)
# Register the instrument so that the data producer and stream object are created
data_producer_id = self.damsclient.register_instrument(instrument_id)
# 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.pubsubclient.create_stream_definition(name='Simulated CTD data', parameter_dictionary_id=pdict_id)
self.dataprocessclient.assign_input_stream_definition_to_data_process_definition(ctd_stream_def_id, dprocdef_id )
# Assert that the link between the stream definition and the data process definition was done
assocs = self.rrclient.find_associations(subject=dprocdef_id, predicate=PRED.hasInputStreamDefinition, object=ctd_stream_def_id, id_only=True)
self.assertIsNotNone(assocs)
#---------------------------------------------------------------------------
# Input Data Product
#---------------------------------------------------------------------------
tdom, sdom = time_series_domain()
sdom = sdom.dump()
tdom = tdom.dump()
input_dp_obj = IonObject( RT.DataProduct,
name='InputDataProduct',
description='some new dp',
temporal_domain = tdom,
spatial_domain = sdom)
input_dp_id = self.dataproductclient.create_data_product(data_product=input_dp_obj, stream_definition_id=ctd_stream_def_id, exchange_point='test')
#Make assertions on the input data product created
input_dp_obj = self.rrclient.read(input_dp_id)
self.assertEquals(input_dp_obj.name, 'InputDataProduct')
self.assertEquals(input_dp_obj.description, 'some new dp')
self.damsclient.assign_data_product(instrument_id, input_dp_id)
# Retrieve the stream via the DataProduct->Stream associations
stream_ids, _ = self.rrclient.find_objects(input_dp_id, PRED.hasStream, None, True)
self.in_stream_id = stream_ids[0]
#---------------------------------------------------------------------------
# Output Data Product
#---------------------------------------------------------------------------
outgoing_stream_conductivity_id = self.pubsubclient.create_stream_definition(name='conductivity', parameter_dictionary_id=pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_conductivity_id, dprocdef_id,binding='conductivity' )
outgoing_stream_pressure_id = self.pubsubclient.create_stream_definition(name='pressure', parameter_dictionary_id=pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_pressure_id, dprocdef_id, binding='pressure' )
outgoing_stream_temperature_id = self.pubsubclient.create_stream_definition(name='temperature', parameter_dictionary_id=pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_temperature_id, dprocdef_id, binding='temperature' )
self.output_products={}
output_dp_obj = IonObject(RT.DataProduct,
name='conductivity',
description='transform output conductivity',
temporal_domain = tdom,
spatial_domain = sdom)
output_dp_id_1 = self.dataproductclient.create_data_product(output_dp_obj, outgoing_stream_conductivity_id)
self.output_products['conductivity'] = output_dp_id_1
output_dp_obj = IonObject(RT.DataProduct,
name='pressure',
description='transform output pressure',
temporal_domain = tdom,
spatial_domain = sdom)
output_dp_id_2 = self.dataproductclient.create_data_product(output_dp_obj, outgoing_stream_pressure_id)
self.output_products['pressure'] = output_dp_id_2
output_dp_obj = IonObject(RT.DataProduct,
name='temperature',
description='transform output ',
temporal_domain = tdom,
spatial_domain = sdom)
output_dp_id_3 = self.dataproductclient.create_data_product(output_dp_obj, outgoing_stream_temperature_id)
self.output_products['temperature'] = output_dp_id_3
#---------------------------------------------------------------------------
# Create the data process
#---------------------------------------------------------------------------
def _create_data_process():
dproc_id = self.dataprocessclient.create_data_process(dprocdef_id, [input_dp_id], self.output_products)
return dproc_id
dproc_id = _create_data_process()
# Make assertions on the data process created
data_process = self.dataprocessclient.read_data_process(dproc_id)
# Assert that the data process has a process id attached
self.assertIsNotNone(data_process.process_id)
# Assert that the data process got the input data product's subscription id attached as its own input_susbcription_id attribute
self.assertIsNotNone(data_process.input_subscription_id)
output_data_product_ids = self.rrclient.find_objects(subject=dproc_id, predicate=PRED.hasOutputProduct, object_type=RT.DataProduct, id_only=True)
self.assertEquals(Set(output_data_product_ids[0]), Set([output_dp_id_1,output_dp_id_2,output_dp_id_3]))
@patch.dict(CFG, {'endpoint':{'receive':{'timeout': 60}}})
def test_createDataProcessUsingSim(self):
#-------------------------------
# Create InstrumentModel
#-------------------------------
instModel_obj = IonObject(RT.InstrumentModel, name='SBE37IMModel', description="SBE37IMModel" )
instModel_id = self.imsclient.create_instrument_model(instModel_obj)
#-------------------------------
# Create InstrumentAgent
#-------------------------------
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)
#-------------------------------
# Create InstrumentDevice
#-------------------------------
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)
#-------------------------------
# Create InstrumentAgentInstance to hold configuration information
#-------------------------------
port_agent_config = {
'device_addr': 'sbe37-simulator.oceanobservatories.org',
'device_port': 4001,
'process_type': PortAgentProcessType.UNIX,
'binary_path': "port_agent",
'command_port': 4002,
'data_port': 4003,
'log_level': 5,
}
instAgentInstance_obj = IonObject(RT.InstrumentAgentInstance, name='SBE37IMAgentInstance', description="SBE37IMAgentInstance", svr_addr="localhost",
comms_device_address=CFG.device.sbe37.host, comms_device_port=CFG.device.sbe37.port,
port_agent_config = port_agent_config)
instAgentInstance_id = self.imsclient.create_instrument_agent_instance(instAgentInstance_obj, instAgent_id, instDevice_id)
#-------------------------------
# Create CTD Parsed as the first data product
#-------------------------------
# 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.pubsubclient.create_stream_definition(name='SBE32_CDM', parameter_dictionary_id=pdict_id)
# 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='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)
self.damsclient.assign_data_product(input_resource_id=instDevice_id, 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)
#-------------------------------
# Create CTD Raw as the second data product
#-------------------------------
raw_stream_def_id = self.pubsubclient.create_stream_definition(name='SBE37_RAW', parameter_dictionary_id=pdict_id)
dp_obj.name = 'ctd_raw'
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)
# 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)
#-------------------------------
# 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')
ctd_L0_all_dprocdef_id = self.dataprocessclient.create_data_process_definition(dpd_obj)
#-------------------------------
# L0 Conductivity - Temperature - Pressure: Output Data Products
#-------------------------------
outgoing_stream_l0_conductivity_id = self.pubsubclient.create_stream_definition(name='L0_Conductivity', parameter_dictionary_id=pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_conductivity_id, ctd_L0_all_dprocdef_id, binding='conductivity' )
outgoing_stream_l0_pressure_id = self.pubsubclient.create_stream_definition(name='L0_Pressure', parameter_dictionary_id=pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_pressure_id, ctd_L0_all_dprocdef_id, binding='pressure' )
outgoing_stream_l0_temperature_id = self.pubsubclient.create_stream_definition(name='L0_Temperature', parameter_dictionary_id=pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_temperature_id, ctd_L0_all_dprocdef_id, binding='temperature' )
self.output_products={}
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)
self.output_products['conductivity'] = ctd_l0_conductivity_output_dp_id
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)
self.output_products['pressure'] = ctd_l0_pressure_output_dp_id
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)
self.output_products['temperature'] = ctd_l0_temperature_output_dp_id
#-------------------------------
# Create listener for data process events and verify that events are received.
#-------------------------------
# todo: add this validate for Req: L4-CI-SA-RQ-367 Data processing shall notify registered data product consumers about data processing workflow life cycle events
#todo (contd) ... I believe the capability does not exist yet now. ANS And SA are not yet publishing any workflow life cycle events (Swarbhanu)
#-------------------------------
# L0 Conductivity - Temperature - Pressure: Create the data process
#-------------------------------
ctd_l0_all_data_process_id = self.dataprocessclient.create_data_process(ctd_L0_all_dprocdef_id, [ctd_parsed_data_product], self.output_products)
#-------------------------------
# Retrieve a list of all data process defintions in RR and validate that the DPD is listed
#-------------------------------
# todo: add this validate for Req: L4-CI-SA-RQ-366 Data processing shall manage data topic definitions
# todo: This capability is not yet completed (Swarbhanu)
self.dataprocessclient.activate_data_process(ctd_l0_all_data_process_id)
#todo: check that activate event is received L4-CI-SA-RQ-367
#todo... (it looks like no event is being published when the data process is activated... so below, we just check for now
# todo... that the subscription is indeed activated) (Swarbhanu)
# todo: monitor process to see if it is active (sa-rq-182)
ctd_l0_all_data_process = self.rrclient.read(ctd_l0_all_data_process_id)
input_subscription_id = ctd_l0_all_data_process.input_subscription_id
subs = self.rrclient.read(input_subscription_id)
self.assertTrue(subs.activated)
# todo: This has not yet been completed by CEI, will prbly surface thru a DPMS call
self.dataprocessclient.deactivate_data_process(ctd_l0_all_data_process_id)
#-------------------------------
# Retrieve the extended resources for data process definition and for data process
#-------------------------------
extended_process_definition = self.dataprocessclient.get_data_process_definition_extension(ctd_L0_all_dprocdef_id)
self.assertEqual(1, len(extended_process_definition.data_processes))
log.debug("test_createDataProcess: extended_process_definition %s", str(extended_process_definition))
extended_process = self.dataprocessclient.get_data_process_extension(ctd_l0_all_data_process_id)
self.assertEqual(1, len(extended_process.input_data_products))
log.debug("test_createDataProcess: extended_process %s", str(extended_process))
#-------------------------------
# Cleanup
#-------------------------------
self.dataprocessclient.delete_data_process(ctd_l0_all_data_process_id)
self.dataprocessclient.delete_data_process_definition(ctd_L0_all_dprocdef_id)
self.dataprocessclient.force_delete_data_process(ctd_l0_all_data_process_id)
self.dataprocessclient.force_delete_data_process_definition(ctd_L0_all_dprocdef_id)
class TestOmsLaunch(IonIntegrationTestCase):
def setUp(self):
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.damsclient = DataAcquisitionManagementServiceClient(node=self.container.node)
self.dpclient = DataProductManagementServiceClient(node=self.container.node)
self.pubsubcli = PubsubManagementServiceClient(node=self.container.node)
self.processdispatchclient = ProcessDispatcherServiceClient(node=self.container.node)
self.dataset_management = DatasetManagementServiceClient()
self.platformModel_id = None
# rsn_oms: to retrieve network structure and information from RSN-OMS:
# Note that OmsClientFactory will create an "embedded" RSN OMS
# simulator object by default.
self.rsn_oms = OmsClientFactory.create_instance()
self.all_platforms = {}
self.topology = {}
self.agent_device_map = {}
self.agent_streamconfig_map = {}
self._async_data_result = AsyncResult()
self._data_subscribers = []
self._samples_received = []
self.addCleanup(self._stop_data_subscribers)
self._async_event_result = AsyncResult()
self._event_subscribers = []
self._events_received = []
self.addCleanup(self._stop_event_subscribers)
self._start_event_subscriber()
self._set_up_DataProduct_obj()
self._set_up_PlatformModel_obj()
def _set_up_DataProduct_obj(self):
# Create data product object to be used for each of the platform log streams
tdom, sdom = time_series_domain()
sdom = sdom.dump()
tdom = tdom.dump()
pdict_id = self.dataset_management.read_parameter_dictionary_by_name('platform_eng_parsed', id_only=True)
self.platform_eng_stream_def_id = self.pubsubcli.create_stream_definition(
name='platform_eng', parameter_dictionary_id=pdict_id)
self.dp_obj = IonObject(RT.DataProduct,
name='platform_eng data',
description='platform_eng test',
temporal_domain = tdom,
spatial_domain = sdom)
def _set_up_PlatformModel_obj(self):
# Create PlatformModel
platformModel_obj = IonObject(RT.PlatformModel,
name='RSNPlatformModel',
description="RSNPlatformModel")
try:
self.platformModel_id = self.imsclient.create_platform_model(platformModel_obj)
except BadRequest as ex:
self.fail("failed to create new PLatformModel: %s" %ex)
log.debug( 'new PlatformModel id = %s', self.platformModel_id)
def _traverse(self, platform_id, parent_platform_objs=None):
"""
Recursive routine that repeatedly calls _prepare_platform to build
the object dictionary for each platform.
@param platform_id ID of the platform to be visited
@param parent_platform_objs dict of objects associated to parent
platform, if any.
@retval the dict returned by _prepare_platform at this level.
"""
log.info("Starting _traverse for %r", platform_id)
plat_objs = self._prepare_platform(platform_id, parent_platform_objs)
self.all_platforms[platform_id] = plat_objs
# now, traverse the children:
retval = self.rsn_oms.getSubplatformIDs(platform_id)
subplatform_ids = retval[platform_id]
for subplatform_id in subplatform_ids:
self._traverse(subplatform_id, plat_objs)
# note, topology indexed by platform_id
self.topology[platform_id] = plat_objs['children']
return plat_objs
def _prepare_platform(self, platform_id, parent_platform_objs):
"""
This routine generalizes the manual construction currently done in
test_oms_launch.py. It is called by the recursive _traverse method so
all platforms starting from a given base platform are prepared.
Note: For simplicity in this test, sites are organized in the same
hierarchical way as the platforms themselves.
@param platform_id ID of the platform to be visited
@param parent_platform_objs dict of objects associated to parent
platform, if any.
@retval a dict of associated objects similar to those in
test_oms_launch
"""
site__obj = IonObject(RT.PlatformSite,
name='%s_PlatformSite' % platform_id,
description='%s_PlatformSite platform site' % platform_id)
site_id = self.omsclient.create_platform_site(site__obj)
if parent_platform_objs:
# establish hasSite association with the parent
self.rrclient.create_association(
subject=parent_platform_objs['site_id'],
predicate=PRED.hasSite,
object=site_id)
# prepare platform attributes and ports:
monitor_attributes = self._prepare_platform_attributes(platform_id)
ports = self._prepare_platform_ports(platform_id)
device__obj = IonObject(RT.PlatformDevice,
name='%s_PlatformDevice' % platform_id,
description='%s_PlatformDevice platform device' % platform_id,
ports=ports,
platform_monitor_attributes = monitor_attributes)
device_id = self.imsclient.create_platform_device(device__obj)
self.imsclient.assign_platform_model_to_platform_device(self.platformModel_id, device_id)
self.rrclient.create_association(subject=site_id, predicate=PRED.hasDevice, object=device_id)
self.damsclient.register_instrument(instrument_id=device_id)
if parent_platform_objs:
# establish hasDevice association with the parent
self.rrclient.create_association(
subject=parent_platform_objs['device_id'],
predicate=PRED.hasDevice,
object=device_id)
agent__obj = IonObject(RT.PlatformAgent,
name='%s_PlatformAgent' % platform_id,
description='%s_PlatformAgent platform agent' % platform_id)
agent_id = self.imsclient.create_platform_agent(agent__obj)
if parent_platform_objs:
# add this platform_id to parent's children:
parent_platform_objs['children'].append(platform_id)
self.imsclient.assign_platform_model_to_platform_agent(self.platformModel_id, agent_id)
# agent_instance_obj = IonObject(RT.PlatformAgentInstance,
# name='%s_PlatformAgentInstance' % platform_id,
# description="%s_PlatformAgentInstance" % platform_id)
#
# agent_instance_id = self.imsclient.create_platform_agent_instance(
# agent_instance_obj, agent_id, device_id)
plat_objs = {
'platform_id': platform_id,
'site__obj': site__obj,
'site_id': site_id,
'device__obj': device__obj,
'device_id': device_id,
'agent__obj': agent__obj,
'agent_id': agent_id,
# 'agent_instance_obj': agent_instance_obj,
# 'agent_instance_id': agent_instance_id,
'children': []
}
log.info("plat_objs for platform_id %r = %s", platform_id, str(plat_objs))
self.agent_device_map[platform_id] = device__obj
stream_config = self._create_stream_config(plat_objs)
self.agent_streamconfig_map[platform_id] = stream_config
# self._start_data_subscriber(agent_instance_id, stream_config)
return plat_objs
def _prepare_platform_attributes(self, platform_id):
"""
Returns the list of PlatformMonitorAttributes objects corresponding to
the attributes associated to the given platform.
"""
result = self.rsn_oms.getPlatformAttributes(platform_id)
self.assertTrue(platform_id in result)
ret_infos = result[platform_id]
monitor_attributes = []
for attrName, attrDfn in ret_infos.iteritems():
log.debug("platform_id=%r: preparing attribute=%r", platform_id, attrName)
monitor_rate = attrDfn['monitorCycleSeconds']
units = attrDfn['units']
plat_attr_obj = IonObject(OT.PlatformMonitorAttributes,
id=attrName,
monitor_rate=monitor_rate,
units=units)
monitor_attributes.append(plat_attr_obj)
return monitor_attributes
def _prepare_platform_ports(self, platform_id):
"""
Returns the list of PlatformPort objects corresponding to the ports
associated to the given platform.
"""
result = self.rsn_oms.getPlatformPorts(platform_id)
self.assertTrue(platform_id in result)
port_dict = result[platform_id]
ports = []
for port_id, port in port_dict.iteritems():
log.debug("platform_id=%r: preparing port=%r", platform_id, port_id)
ip_address = port['comms']['ip']
plat_port_obj = IonObject(OT.PlatformPort,
port_id=port_id,
ip_address=ip_address)
ports.append(plat_port_obj)
return ports
def _create_stream_config(self, plat_objs):
platform_id = plat_objs['platform_id']
device_id = plat_objs['device_id']
#create the log data product
self.dp_obj.name = '%s platform_eng data' % platform_id
data_product_id = self.dpclient.create_data_product(data_product=self.dp_obj, stream_definition_id=self.platform_eng_stream_def_id)
self.damsclient.assign_data_product(input_resource_id=device_id, data_product_id=data_product_id)
# Retrieve the id of the OUTPUT stream from the out Data Product
stream_ids, _ = self.rrclient.find_objects(data_product_id, PRED.hasStream, None, True)
stream_config = self._build_stream_config(stream_ids[0])
return stream_config
def _build_stream_config(self, stream_id=''):
platform_eng_dictionary = DatasetManagementService.get_parameter_dictionary_by_name('platform_eng_parsed')
#get the streamroute object from pubsub by passing the stream_id
stream_def_ids, _ = self.rrclient.find_objects(stream_id,
PRED.hasStreamDefinition,
RT.StreamDefinition,
True)
stream_route = self.pubsubcli.read_stream_route(stream_id=stream_id)
stream_config = {'routing_key' : stream_route.routing_key,
'stream_id' : stream_id,
'stream_definition_ref' : stream_def_ids[0],
'exchange_point' : stream_route.exchange_point,
'parameter_dictionary':platform_eng_dictionary.dump()}
return stream_config
def _set_platform_agent_instances(self):
"""
Once most of the objs/defs associated with all platforms are in
place, this method creates and associates the PlatformAgentInstance
elements.
"""
self.platform_configs = {}
for platform_id, plat_objs in self.all_platforms.iteritems():
PLATFORM_CONFIG = self.platform_configs[platform_id] = {
'platform_id': platform_id,
'platform_topology': self.topology,
# 'agent_device_map': self.agent_device_map,
'agent_streamconfig_map': self.agent_streamconfig_map,
'driver_config': DVR_CONFIG,
}
agent_config = {
'platform_config': PLATFORM_CONFIG,
}
agent_instance_obj = IonObject(RT.PlatformAgentInstance,
name='%s_PlatformAgentInstance' % platform_id,
description="%s_PlatformAgentInstance" % platform_id,
agent_config=agent_config)
agent_id = plat_objs['agent_id']
device_id = plat_objs['device_id']
agent_instance_id = self.imsclient.create_platform_agent_instance(
agent_instance_obj, agent_id, device_id)
plat_objs['agent_instance_obj'] = agent_instance_obj
plat_objs['agent_instance_id'] = agent_instance_id
stream_config = self.agent_streamconfig_map[platform_id]
self._start_data_subscriber(agent_instance_id, stream_config)
def _start_data_subscriber(self, stream_name, stream_config):
"""
Starts data subscriber for the given stream_name and stream_config
"""
def consume_data(message, stream_route, stream_id):
# A callback for processing subscribed-to data.
log.info('Subscriber received data message: %s.', str(message))
self._samples_received.append(message)
self._async_data_result.set()
log.info('_start_data_subscriber stream_name=%r', stream_name)
stream_id = stream_config['stream_id']
# Create subscription for the stream
exchange_name = '%s_queue' % stream_name
self.container.ex_manager.create_xn_queue(exchange_name).purge()
sub = StandaloneStreamSubscriber(exchange_name, consume_data)
sub.start()
self._data_subscribers.append(sub)
sub_id = self.pubsubcli.create_subscription(name=exchange_name, stream_ids=[stream_id])
self.pubsubcli.activate_subscription(sub_id)
sub.subscription_id = sub_id
def _stop_data_subscribers(self):
"""
Stop the data subscribers on cleanup.
"""
try:
for sub in self._data_subscribers:
if hasattr(sub, 'subscription_id'):
try:
self.pubsubcli.deactivate_subscription(sub.subscription_id)
except:
pass
self.pubsubcli.delete_subscription(sub.subscription_id)
sub.stop()
finally:
self._data_subscribers = []
def _start_event_subscriber(self, event_type="PlatformAlarmEvent", sub_type="power"):
"""
Starts event subscriber for events of given event_type ("PlatformAlarmEvent"
by default) and given sub_type ("power" by default).
"""
# TODO note: ion-definitions still using 'PlatformAlarmEvent' but we
# should probably define 'PlatformExternalEvent' or something like that.
def consume_event(evt, *args, **kwargs):
# A callback for consuming events.
log.info('Event subscriber received evt: %s.', str(evt))
self._events_received.append(evt)
self._async_event_result.set(evt)
sub = EventSubscriber(event_type=event_type,
sub_type=sub_type,
callback=consume_event)
sub.start()
log.info("registered event subscriber for event_type=%r, sub_type=%r",
event_type, sub_type)
self._event_subscribers.append(sub)
sub._ready_event.wait(timeout=EVENT_TIMEOUT)
def _stop_event_subscribers(self):
"""
Stops the event subscribers on cleanup.
"""
try:
for sub in self._event_subscribers:
if hasattr(sub, 'subscription_id'):
try:
self.pubsubcli.deactivate_subscription(sub.subscription_id)
except:
pass
self.pubsubcli.delete_subscription(sub.subscription_id)
sub.stop()
finally:
self._event_subscribers = []
def test_oms_create_and_launch(self):
# pick a base platform:
base_platform_id = BASE_PLATFORM_ID
# and trigger the traversal of the branch rooted at that base platform
# to create corresponding ION objects and configuration dictionaries:
base_platform_objs = self._traverse(base_platform_id)
# now that most of the topology information is there, add the
# PlatformAgentInstance elements
self._set_platform_agent_instances()
base_platform_config = self.platform_configs[base_platform_id]
log.info("base_platform_id = %r", base_platform_id)
log.info("topology = %s", str(self.topology))
#-------------------------------
# Launch Base Platform AgentInstance, connect to the resource agent client
#-------------------------------
agent_instance_id = base_platform_objs['agent_instance_id']
pid = self.imsclient.start_platform_agent_instance(platform_agent_instance_id=agent_instance_id)
log.debug("start_platform_agent_instance returned pid=%s", pid)
#wait for start
instance_obj = self.imsclient.read_platform_agent_instance(agent_instance_id)
gate = ProcessStateGate(self.processdispatchclient.read_process,
instance_obj.agent_process_id,
ProcessStateEnum.RUNNING)
self.assertTrue(gate.await(90), "The platform agent instance did not spawn in 90 seconds")
agent_instance_obj= self.imsclient.read_instrument_agent_instance(agent_instance_id)
log.debug('test_oms_create_and_launch: Platform agent instance obj: %s', str(agent_instance_obj))
# Start a resource agent client to talk with the instrument agent.
self._pa_client = ResourceAgentClient('paclient', name=agent_instance_obj.agent_process_id, process=FakeProcess())
log.debug(" test_oms_create_and_launch:: got pa client %s", str(self._pa_client))
log.debug("base_platform_config =\n%s", base_platform_config)
# ping_agent can be issued before INITIALIZE
retval = self._pa_client.ping_agent(timeout=TIMEOUT)
log.debug( 'Base Platform ping_agent = %s', str(retval) )
# issue INITIALIZE command to the base platform, which will launch the
# creation of the whole platform hierarchy rooted at base_platform_config['platform_id']
# cmd = AgentCommand(command=PlatformAgentEvent.INITIALIZE, kwargs=dict(plat_config=base_platform_config))
cmd = AgentCommand(command=PlatformAgentEvent.INITIALIZE)
retval = self._pa_client.execute_agent(cmd, timeout=TIMEOUT)
log.debug( 'Base Platform INITIALIZE = %s', str(retval) )
# GO_ACTIVE
cmd = AgentCommand(command=PlatformAgentEvent.GO_ACTIVE)
retval = self._pa_client.execute_agent(cmd, timeout=TIMEOUT)
log.debug( 'Base Platform GO_ACTIVE = %s', str(retval) )
# RUN: this command includes the launch of the resource monitoring greenlets
cmd = AgentCommand(command=PlatformAgentEvent.RUN)
retval = self._pa_client.execute_agent(cmd, timeout=TIMEOUT)
log.debug( 'Base Platform RUN = %s', str(retval) )
# START_EVENT_DISPATCH
kwargs = dict(params="TODO set params")
cmd = AgentCommand(command=PlatformAgentEvent.START_EVENT_DISPATCH, kwargs=kwargs)
retval = self._pa_client.execute_agent(cmd, timeout=TIMEOUT)
self.assertTrue(retval.result is not None)
# wait for data sample
# just wait for at least one -- see consume_data above
log.info("waiting for reception of a data sample...")
self._async_data_result.get(timeout=DATA_TIMEOUT)
self.assertTrue(len(self._samples_received) >= 1)
log.info("waiting a bit more for reception of more data samples...")
sleep(10)
log.info("Got data samples: %d", len(self._samples_received))
# wait for event
# just wait for at least one event -- see consume_event above
log.info("waiting for reception of an event...")
self._async_event_result.get(timeout=EVENT_TIMEOUT)
log.info("Received events: %s", len(self._events_received))
# STOP_EVENT_DISPATCH
cmd = AgentCommand(command=PlatformAgentEvent.STOP_EVENT_DISPATCH)
retval = self._pa_client.execute_agent(cmd, timeout=TIMEOUT)
self.assertTrue(retval.result is not None)
# GO_INACTIVE
cmd = AgentCommand(command=PlatformAgentEvent.GO_INACTIVE)
retval = self._pa_client.execute_agent(cmd, timeout=TIMEOUT)
log.debug( 'Base Platform GO_INACTIVE = %s', str(retval) )
# RESET: Resets the base platform agent, which includes termination of
# its sub-platforms processes:
cmd = AgentCommand(command=PlatformAgentEvent.RESET)
retval = self._pa_client.execute_agent(cmd, timeout=TIMEOUT)
log.debug( 'Base Platform RESET = %s', str(retval) )
#-------------------------------
# Stop Base Platform AgentInstance
#-------------------------------
self.imsclient.stop_platform_agent_instance(platform_agent_instance_id=agent_instance_id)
class TestDataProductProvenance(IonIntegrationTestCase):
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 test_get_data_product_provenance_report(self):
#Create a test device
device_obj = Device(name='Device1',
description='test instrument site')
device_id, _ = self.rrclient.create(device_obj)
self.addCleanup(self.rrclient.delete, device_id)
#Create a test DataProduct
data_product1_obj = DataProduct(name='DataProduct1',
description='test data product 1')
data_product1_id, _ = self.rrclient.create(data_product1_obj)
self.addCleanup(self.rrclient.delete, data_product1_id)
#Create a test DataProcess
data_process_obj = DataProcess(name='DataProcess',
description='test data process')
data_process_id, _ = self.rrclient.create(data_process_obj)
self.addCleanup(self.rrclient.delete, data_process_id)
#Create a second test DataProduct
data_product2_obj = DataProduct(name='DataProduct2',
description='test data product 2')
data_product2_id, _ = self.rrclient.create(data_product2_obj)
self.addCleanup(self.rrclient.delete, data_product2_id)
#Create a test DataProducer
data_producer_obj = DataProducer(name='DataProducer',
description='test data producer')
data_producer_id, rev = self.rrclient.create(data_producer_obj)
#Link the DataProcess to the second DataProduct manually
assoc_id, _ = self.rrclient.create_association(subject=data_process_id, predicate=PRED.hasInputProduct, object=data_product2_id)
self.addCleanup(self.rrclient.delete_association, assoc_id)
# Register the instrument and process. This links the device and the data process
# with their own producers
self.damsclient.register_instrument(device_id)
self.addCleanup(self.damsclient.unregister_instrument, device_id)
self.damsclient.register_process(data_process_id)
self.addCleanup(self.damsclient.unregister_process, data_process_id)
#Manually link the first DataProduct with the test DataProducer
assoc_id, _ = self.rrclient.create_association(subject=data_product1_id, predicate=PRED.hasDataProducer, object=data_producer_id)
#Get the DataProducer linked to the DataProcess (created in register_process above)
#Associate that with with DataProduct1's DataProducer
data_process_producer_ids, _ = self.rrclient.find_objects(subject=data_process_id, predicate=PRED.hasDataProducer, object_type=RT.DataProducer, id_only=True)
assoc_id, _ = self.rrclient.create_association(subject=data_process_producer_ids[0], predicate=PRED.hasParent, object=data_producer_id)
self.addCleanup(self.rrclient.delete_association, assoc_id)
#Get the DataProducer linked to the Device (created in register_instrument
#Associate that with the DataProcess's DataProducer
device_producer_ids, _ = self.rrclient.find_objects(subject=device_id, predicate=PRED.hasDataProducer, object_type=RT.DataProducer, id_only=True)
assoc_id, _ = self.rrclient.create_association(subject=data_producer_id, predicate=PRED.hasParent, object=device_producer_ids[0])
#Create the links between the Device, DataProducts, DataProcess, and all DataProducers
self.damsclient.assign_data_product(input_resource_id=device_id, data_product_id=data_product1_id)
self.addCleanup(self.damsclient.unassign_data_product, device_id, data_product1_id)
self.damsclient.assign_data_product(input_resource_id=data_process_id, data_product_id=data_product2_id)
self.addCleanup(self.damsclient.unassign_data_product, data_process_id, data_product2_id)
#Traverse through the relationships to get the links between objects
res = self.dpmsclient.get_data_product_provenance_report(data_product2_id)
#Make sure there are four keys
self.assertEqual(len(res.keys()), 4)
parent_count = 0
config_count = 0
for v in res.itervalues():
if 'parent' in v:
parent_count += 1
if 'config' in v:
config_count += 1
#Make sure there are three parents and four configs
self.assertEqual(parent_count, 3)
self.assertEqual(config_count, 4)
@unittest.skip('This test is obsolete with new framework')
def test_get_provenance(self):
#create a deployment with metadata and an initial site and device
instrument_site_obj = IonObject(RT.InstrumentSite,
name='InstrumentSite1',
description='test instrument site')
instrument_site_id = self.omsclient.create_instrument_site(instrument_site_obj, "")
log.debug( 'test_get_provenance: new instrument_site_id id = %s ', str(instrument_site_id))
# Create InstrumentModel
instModel_obj = IonObject(RT.InstrumentModel,
name='SBE37IMModel',
description="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( 'test_get_provenance: new InstrumentModel id = %s ', str(instModel_id))
self.omsclient.assign_instrument_model_to_instrument_site(instModel_id, instrument_site_id)
# Create InstrumentAgent
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 = [parsed_config] )
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( 'test_get_provenance:new InstrumentAgent id = %s', instAgent_id)
self.imsclient.assign_instrument_model_to_instrument_agent(instModel_id, instAgent_id)
# Create InstrumentDevice
log.debug('test_get_provenance: 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_get_provenance: new InstrumentDevice id = %s (SA Req: L4-CI-SA-RQ-241) ", instDevice_id)
#-------------------------------
# Create CTD Parsed data product
#-------------------------------
tdom, sdom = time_series_domain()
sdom = sdom.dump()
tdom = tdom.dump()
pdict_id = self.dataset_management.read_parameter_dictionary_by_name('ctd_parsed_param_dict', id_only=True)
parsed_stream_def_id = self.pubsubclient.create_stream_definition(name='parsed', parameter_dictionary_id=pdict_id)
log.debug( 'test_get_provenance:Creating new CDM data product with a stream definition')
dp_obj = IonObject(RT.DataProduct,
name='the parsed data',
description='ctd stream test',
temporal_domain = tdom,
spatial_domain = sdom)
ctd_parsed_data_product = self.dpmsclient.create_data_product(data_product=dp_obj, stream_definition_id=parsed_stream_def_id)
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.dpmsclient.activate_data_product_persistence(data_product_id=ctd_parsed_data_product)
#-------------------------------
# create a data product for the site to pass the OMS check.... we need to remove this check
#-------------------------------
dp_obj = IonObject(RT.DataProduct,
name='DP1',
description='some new dp',
temporal_domain = tdom,
spatial_domain = sdom)
log_data_product_id = self.dpmsclient.create_data_product(dp_obj, parsed_stream_def_id)
#-------------------------------
# Deploy instrument device to instrument site
#-------------------------------
deployment_obj = IonObject(RT.Deployment,
name='TestDeployment',
description='some new deployment')
deployment_id = self.omsclient.create_deployment(deployment_obj)
self.omsclient.deploy_instrument_site(instrument_site_id, deployment_id)
self.imsclient.deploy_instrument_device(instDevice_id, deployment_id)
log.debug("test_create_deployment: created deployment id: %s ", str(deployment_id) )
self.omsclient.activate_deployment(deployment_id)
inst_device_objs, _ = self.rrclient.find_objects(subject=instrument_site_id, predicate=PRED.hasDevice, object_type=RT.InstrumetDevice, id_only=False)
log.debug("test_create_deployment: deployed device: %s ", str(inst_device_objs[0]) )
#-------------------------------
# Create the agent instance
#-------------------------------
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)
#-------------------------------
# L0 Conductivity - Temperature - Pressure: Data Process Definition
#-------------------------------
log.debug("TestDataProductProvenance: 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')
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("TestDataProductProvenance: 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')
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("TestDataProductProvenance: 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')
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("TestDataProductProvenance: 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')
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("TestDataProductProvenance: 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')
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("TestDataProductProvenance: 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')
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_id = self.pubsubclient.create_stream_definition(name='L0_Conductivity', parameter_dictionary_id=pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_conductivity_id, ctd_L0_all_dprocdef_id, binding='conductivity' )
outgoing_stream_l0_pressure_id = self.pubsubclient.create_stream_definition(name='L0_Pressure', parameter_dictionary_id=pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_pressure_id, ctd_L0_all_dprocdef_id, binding='pressure' )
outgoing_stream_l0_temperature_id = self.pubsubclient.create_stream_definition(name='L0_Temperature', parameter_dictionary_id=pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l0_temperature_id, ctd_L0_all_dprocdef_id, binding='temperature' )
log.debug("TestDataProductProvenance: 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.dpmsclient.create_data_product(ctd_l0_conductivity_output_dp_obj,
outgoing_stream_l0_conductivity_id)
log.debug("TestDataProductProvenance: 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.dpmsclient.create_data_product(ctd_l0_pressure_output_dp_obj,
outgoing_stream_l0_pressure_id)
log.debug("TestDataProductProvenance: 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.dpmsclient.create_data_product(ctd_l0_temperature_output_dp_obj,
outgoing_stream_l0_temperature_id)
#-------------------------------
# L1 Conductivity - Temperature - Pressure: Output Data Products
#-------------------------------
outgoing_stream_l1_conductivity_id = self.pubsubclient.create_stream_definition(name='L1_conductivity', parameter_dictionary_id=pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l1_conductivity_id, ctd_L1_conductivity_dprocdef_id, binding='conductivity' )
outgoing_stream_l1_pressure_id = self.pubsubclient.create_stream_definition(name='L1_Pressure', parameter_dictionary_id=pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l1_pressure_id, ctd_L1_pressure_dprocdef_id, binding='pressure' )
outgoing_stream_l1_temperature_id = self.pubsubclient.create_stream_definition(name='L1_Temperature', parameter_dictionary_id=pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l1_temperature_id, ctd_L1_temperature_dprocdef_id, binding='temperature' )
log.debug("TestDataProductProvenance: 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.dpmsclient.create_data_product(ctd_l1_conductivity_output_dp_obj,
outgoing_stream_l1_conductivity_id)
log.debug("TestDataProductProvenance: 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.dpmsclient.create_data_product(ctd_l1_pressure_output_dp_obj,
outgoing_stream_l1_pressure_id)
log.debug("TestDataProductProvenance: 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.dpmsclient.create_data_product(ctd_l1_temperature_output_dp_obj,
outgoing_stream_l1_temperature_id)
#-------------------------------
# L2 Salinity - Density: Output Data Products
#-------------------------------
outgoing_stream_l2_salinity_id = self.pubsubclient.create_stream_definition(name='L2_salinity', parameter_dictionary_id=pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l2_salinity_id, ctd_L2_salinity_dprocdef_id, binding='salinity' )
outgoing_stream_l2_density_id = self.pubsubclient.create_stream_definition(name='L2_Density', parameter_dictionary_id=pdict_id)
self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_stream_l2_density_id, ctd_L2_density_dprocdef_id, binding='density' )
log.debug("TestDataProductProvenance: 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.dpmsclient.create_data_product(ctd_l2_salinity_output_dp_obj,
outgoing_stream_l2_salinity_id)
log.debug("TestDataProductProvenance: 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.dpmsclient.create_data_product(ctd_l2_density_output_dp_obj,
# outgoing_stream_l2_density_id,
# parameter_dictionary)
contactInfo = ContactInformation()
contactInfo.individual_names_given = "Bill"
contactInfo.individual_name_family = "Smith"
contactInfo.street_address = "111 First St"
contactInfo.city = "San Diego"
contactInfo.email = "*****@*****.**"
contactInfo.phones = ["858-555-6666"]
contactInfo.country = "USA"
contactInfo.postal_code = "92123"
ctd_l2_density_output_dp_obj = IonObject( RT.DataProduct,
name='L2_Density',
description='transform output pressure',
contacts = [contactInfo],
iso_topic_category = "my_iso_topic_category_here",
quality_control_level = "1",
temporal_domain = tdom,
spatial_domain = sdom)
ctd_l2_density_output_dp_id = self.dpmsclient.create_data_product(ctd_l2_density_output_dp_obj,
outgoing_stream_l2_density_id)
#-------------------------------
# L0 Conductivity - Temperature - Pressure: Create the data process
#-------------------------------
log.debug("TestDataProductProvenance: create L0 all data_process start")
try:
input_data_products = [ctd_parsed_data_product]
output_data_products = [ctd_l0_conductivity_output_dp_id, ctd_l0_pressure_output_dp_id, ctd_l0_temperature_output_dp_id]
ctd_l0_all_data_process_id = self.dataprocessclient.create_data_process(
data_process_definition_id = ctd_L0_all_dprocdef_id,
in_data_product_ids = input_data_products,
out_data_product_ids = output_data_products
)
#activate only this data process just for coverage
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)
contents = "this is the lookup table contents, replace with a file..."
att = IonObject(RT.Attachment, name='deviceLookupTable', content=base64.encodestring(contents), keywords=['DataProcessInput'], attachment_type=AttachmentType.ASCII)
deviceAttachment = self.rrclient.create_attachment(ctd_l0_all_data_process_id, att)
log.info( 'test_createTransformsThenActivateInstrument: InstrumentDevice attachment id = %s', deviceAttachment)
log.debug("TestDataProductProvenance: create L0 all data_process return")
#-------------------------------
# L1 Conductivity: Create the data process
#-------------------------------
log.debug("TestDataProductProvenance: create L1 Conductivity data_process start")
try:
l1_conductivity_data_process_id = self.dataprocessclient.create_data_process(
data_process_definition_id = ctd_L1_conductivity_dprocdef_id,
in_data_product_ids = [ctd_l0_conductivity_output_dp_id],
out_data_product_ids = [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)
#-------------------------------
# L1 Pressure: Create the data process
#-------------------------------
log.debug("TestDataProductProvenance: create L1_Pressure data_process start")
try:
l1_pressure_data_process_id = self.dataprocessclient.create_data_process(
data_process_definition_id = ctd_L1_pressure_dprocdef_id,
in_data_product_ids = [ctd_l0_pressure_output_dp_id],
out_data_product_ids = [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)
#-------------------------------
# L1 Temperature: Create the data process
#-------------------------------
log.debug("TestDataProductProvenance: create L1_Pressure data_process start")
try:
l1_temperature_all_data_process_id = self.dataprocessclient.create_data_process(
data_process_definition_id = ctd_L1_temperature_dprocdef_id,
in_data_product_ids = [ctd_l0_temperature_output_dp_id],
out_data_product_ids = [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)
#-------------------------------
# L2 Salinity: Create the data process
#-------------------------------
log.debug("TestDataProductProvenance: create L2_salinity data_process start")
try:
l2_salinity_all_data_process_id = self.dataprocessclient.create_data_process(
data_process_definition_id = ctd_L2_salinity_dprocdef_id,
in_data_product_ids = [ctd_l1_conductivity_output_dp_id, ctd_l1_pressure_output_dp_id, ctd_l1_temperature_output_dp_id],
out_data_product_ids = [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)
#-------------------------------
# L2 Density: Create the data process
#-------------------------------
log.debug("TestDataProductProvenance: create L2_Density data_process start")
try:
in_dp_ids = [ctd_l1_conductivity_output_dp_id, ctd_l1_pressure_output_dp_id, ctd_l1_temperature_output_dp_id]
out_dp_ids = [ctd_l2_density_output_dp_id]
l2_density_all_data_process_id = self.dataprocessclient.create_data_process(
data_process_definition_id = ctd_L2_density_dprocdef_id,
in_data_product_ids = in_dp_ids,
out_data_product_ids = out_dp_ids)
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)
#-------------------------------
# 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 'TestDataProductProvenance: 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=ResourceAgentClient._get_agent_process_id(instDevice_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))
#-------------------------------
# Deactivate InstrumentAgentInstance
#-------------------------------
self.imsclient.stop_instrument_agent_instance(instrument_agent_instance_id=instAgentInstance_id)
self.dataprocessclient.deactivate_data_process(l2_density_all_data_process_id)
self.dataprocessclient.deactivate_data_process(l2_salinity_all_data_process_id)
self.dataprocessclient.deactivate_data_process(l1_temperature_all_data_process_id)
self.dataprocessclient.deactivate_data_process(l1_pressure_data_process_id)
self.dataprocessclient.deactivate_data_process(l1_conductivity_data_process_id)
self.dataprocessclient.deactivate_data_process(ctd_l0_all_data_process_id)
#-------------------------------
# Retrieve the provenance info for the ctd density data product
#-------------------------------
provenance_dict = self.dpmsclient.get_data_product_provenance(ctd_l2_density_output_dp_id)
log.debug("TestDataProductProvenance: provenance_dict %s", str(provenance_dict))
#validate that products are represented
self.assertTrue (provenance_dict[str(ctd_l1_conductivity_output_dp_id)])
self.assertTrue (provenance_dict[str(ctd_l0_conductivity_output_dp_id)])
self.assertTrue (provenance_dict[str(ctd_l2_density_output_dp_id)])
self.assertTrue (provenance_dict[str(ctd_l1_temperature_output_dp_id)])
self.assertTrue (provenance_dict[str(ctd_l0_temperature_output_dp_id)])
density_dict = (provenance_dict[str(ctd_l2_density_output_dp_id)])
self.assertEquals(density_dict['producer'], [l2_density_all_data_process_id])
#-------------------------------
# Retrieve the extended resource for this data product
#-------------------------------
extended_product = self.dpmsclient.get_data_product_extension(ctd_l2_density_output_dp_id)
self.assertEqual(1, len(extended_product.data_processes) )
self.assertEqual(3, len(extended_product.process_input_data_products) )
# log.debug("TestDataProductProvenance: DataProduct provenance_product_list %s", str(extended_product.provenance_product_list))
# log.debug("TestDataProductProvenance: DataProduct data_processes %s", str(extended_product.data_processes))
# log.debug("TestDataProductProvenance: DataProduct process_input_data_products %s", str(extended_product.process_input_data_products))
# log.debug("TestDataProductProvenance: provenance %s", str(extended_product.computed.provenance.value))
#-------------------------------
# Retrieve the extended resource for this data process
#-------------------------------
extended_process_def = self.dataprocessclient.get_data_process_definition_extension(ctd_L0_all_dprocdef_id)
# log.debug("TestDataProductProvenance: DataProcess extended_process_def %s", str(extended_process_def))
# log.debug("TestDataProductProvenance: DataProcess data_processes %s", str(extended_process_def.data_processes))
# log.debug("TestDataProductProvenance: DataProcess data_products %s", str(extended_process_def.data_products))
self.assertEqual(1, len(extended_process_def.data_processes) )
self.assertEqual(3, len(extended_process_def.output_stream_definitions) )
self.assertEqual(3, len(extended_process_def.data_products) ) #one list because of one data process
#-------------------------------
# Request the xml report
#-------------------------------
results = self.dpmsclient.get_data_product_provenance_report(ctd_l2_density_output_dp_id)
print results
#-------------------------------
# Cleanup
#-------------------------------
self.dpmsclient.delete_data_product(ctd_parsed_data_product)
self.dpmsclient.delete_data_product(log_data_product_id)
self.dpmsclient.delete_data_product(ctd_l0_conductivity_output_dp_id)
self.dpmsclient.delete_data_product(ctd_l0_pressure_output_dp_id)
self.dpmsclient.delete_data_product(ctd_l0_temperature_output_dp_id)
self.dpmsclient.delete_data_product(ctd_l1_conductivity_output_dp_id)
self.dpmsclient.delete_data_product(ctd_l1_pressure_output_dp_id)
self.dpmsclient.delete_data_product(ctd_l1_temperature_output_dp_id)
self.dpmsclient.delete_data_product(ctd_l2_salinity_output_dp_id)
self.dpmsclient.delete_data_product(ctd_l2_density_output_dp_id)
class TestDataProductProvenance(IonIntegrationTestCase):
def setUp(self):
# Start container
#print 'instantiating container'
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
print 'started services'
# Now create client to DataProductManagementService
self.client = DataProductManagementServiceClient(node=self.container.node)
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 = DataProductManagementService(node=self.container.node)
self.imsclient = InstrumentManagementServiceClient(node=self.container.node)
self.process_dispatcher = ProcessDispatcherServiceClient()
@unittest.skip('not ready')
def test_get_provenance(self):
# 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.dpmsclient.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.dpmsclient.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 'TestDataProductProvenance: Data product streams1 = ', stream_ids
#-------------------------------
# L0 Conductivity - Temperature - Pressure: Data Process Definition
#-------------------------------
log.debug("TestDataProductProvenance: 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("TestDataProductProvenance: 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("TestDataProductProvenance: 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("TestDataProductProvenance: 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("TestDataProductProvenance: 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("TestDataProductProvenance: 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("TestDataProductProvenance: 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.dpmsclient.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.dpmsclient.activate_data_product_persistence(data_product_id=ctd_l0_conductivity_output_dp_id)
log.debug("TestDataProductProvenance: 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.dpmsclient.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.dpmsclient.activate_data_product_persistence(data_product_id=ctd_l0_pressure_output_dp_id)
log.debug("TestDataProductProvenance: 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.dpmsclient.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.dpmsclient.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("TestDataProductProvenance: 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.dpmsclient.create_data_product(ctd_l1_conductivity_output_dp_obj,
outgoing_stream_l1_conductivity_id,
parameter_dictionary)
self.dpmsclient.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("TestDataProductProvenance: 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.dpmsclient.create_data_product(ctd_l1_pressure_output_dp_obj,
outgoing_stream_l1_pressure_id,
parameter_dictionary)
self.dpmsclient.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("TestDataProductProvenance: 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.dpmsclient.create_data_product(ctd_l1_temperature_output_dp_obj,
outgoing_stream_l1_temperature_id,
parameter_dictionary)
self.dpmsclient.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("TestDataProductProvenance: 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.dpmsclient.create_data_product(ctd_l2_salinity_output_dp_obj,
outgoing_stream_l2_salinity_id,
parameter_dictionary)
self.dpmsclient.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("TestDataProductProvenance: 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.dpmsclient.create_data_product(ctd_l2_density_output_dp_obj,
outgoing_stream_l2_density_id,
parameter_dictionary)
self.dpmsclient.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("TestDataProductProvenance: 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("TestDataProductProvenance: create L0 all data_process return")
#-------------------------------
# L1 Conductivity: Create the data process
#-------------------------------
log.debug("TestDataProductProvenance: 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("TestDataProductProvenance: create L1 Conductivity data_process return")
#-------------------------------
# L1 Pressure: Create the data process
#-------------------------------
log.debug("TestDataProductProvenance: 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("TestDataProductProvenance: create L1_Pressure data_process return")
#-------------------------------
# L1 Temperature: Create the data process
#-------------------------------
log.debug("TestDataProductProvenance: 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("TestDataProductProvenance: create L1_Pressure data_process return")
#-------------------------------
# L2 Salinity: Create the data process
#-------------------------------
log.debug("TestDataProductProvenance: 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("TestDataProductProvenance: create L2_salinity data_process return")
#-------------------------------
# L2 Density: Create the data process
#-------------------------------
log.debug("TestDataProductProvenance: 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("TestDataProductProvenance: create L2_Density data_process return")
provenance_dict = self.dpmsclient.get_data_product_provenance(ctd_l2_density_output_dp_id)
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 TestObservatoryManagementServiceIntegration(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')
self.RR = ResourceRegistryServiceClient(node=self.container.node)
self.OMS = ObservatoryManagementServiceClient(node=self.container.node)
#print 'TestObservatoryManagementServiceIntegration: started services'
@unittest.skip('this exists only for debugging the launch process')
def test_just_the_setup(self):
return
#@unittest.skip('targeting')
def test_resources_associations(self):
self._make_associations()
#@unittest.skip('targeting')
def test_find_related_frames_of_reference(self):
# finding subordinates gives a dict of obj lists, convert objs to ids
def idify(adict):
ids = {}
for k, v in adict.iteritems():
ids[k] = []
for obj in v:
ids[k].append(obj._id)
return ids
# a short version of the function we're testing, with id-ify
def short(resource_id, output_types):
ret = self.OMS.find_related_frames_of_reference(
resource_id, output_types)
return idify(ret)
#set up associations first
stuff = self._make_associations()
#basic traversal of tree from instrument to platform
ids = short(stuff.instrument_site_id, [RT.PlatformSite])
self.assertIn(RT.PlatformSite, ids)
self.assertIn(stuff.platform_site_id, ids[RT.PlatformSite])
self.assertIn(stuff.platform_siteb_id, ids[RT.PlatformSite])
self.assertNotIn(stuff.platform_siteb2_id, ids[RT.PlatformSite])
#since this is the first search, just make sure the input inst_id got stripped
if RT.InstrumentSite in ids:
self.assertNotIn(stuff.instrument_site_id, ids[RT.InstrumentSite])
#basic traversal of tree from platform to instrument
ids = short(stuff.platform_siteb_id, [RT.InstrumentSite])
self.assertIn(RT.InstrumentSite, ids)
self.assertIn(stuff.instrument_site_id, ids[RT.InstrumentSite])
self.assertNotIn(stuff.instrument_site2_id, ids[RT.InstrumentSite])
#full traversal of tree from observatory down to instrument
ids = short(stuff.observatory_id, [RT.InstrumentSite])
self.assertIn(RT.InstrumentSite, ids)
self.assertIn(stuff.instrument_site_id, ids[RT.InstrumentSite])
#full traversal of tree from instrument to observatory
ids = short(stuff.instrument_site_id, [RT.Observatory])
self.assertIn(RT.Observatory, ids)
self.assertIn(stuff.observatory_id, ids[RT.Observatory])
#partial traversal, only down to platform
ids = short(stuff.observatory_id, [RT.Subsite, RT.PlatformSite])
self.assertIn(RT.PlatformSite, ids)
self.assertIn(RT.Subsite, ids)
self.assertIn(stuff.platform_site_id, ids[RT.PlatformSite])
self.assertIn(stuff.platform_siteb_id, ids[RT.PlatformSite])
self.assertIn(stuff.platform_siteb2_id, ids[RT.PlatformSite])
self.assertIn(stuff.platform_site3_id, ids[RT.PlatformSite])
self.assertIn(stuff.subsite_id, ids[RT.Subsite])
self.assertIn(stuff.subsite2_id, ids[RT.Subsite])
self.assertIn(stuff.subsitez_id, ids[RT.Subsite])
self.assertIn(stuff.subsiteb_id, ids[RT.Subsite])
self.assertNotIn(RT.InstrumentSite, ids)
#partial traversal, only down to platform
ids = short(stuff.instrument_site_id, [RT.Subsite, RT.PlatformSite])
self.assertIn(RT.PlatformSite, ids)
self.assertIn(RT.Subsite, ids)
self.assertIn(stuff.platform_siteb_id, ids[RT.PlatformSite])
self.assertIn(stuff.platform_site_id, ids[RT.PlatformSite])
self.assertIn(stuff.subsite_id, ids[RT.Subsite])
self.assertIn(stuff.subsiteb_id, ids[RT.Subsite])
self.assertNotIn(stuff.subsite2_id, ids[RT.Subsite])
self.assertNotIn(stuff.subsitez_id, ids[RT.Subsite])
self.assertNotIn(stuff.platform_siteb2_id, ids[RT.PlatformSite])
self.assertNotIn(RT.Observatory, ids)
def _make_associations(self):
"""
create one of each resource and association used by OMS
to guard against problems in ion-definitions
"""
#raise unittest.SkipTest("https://jira.oceanobservatories.org/tasks/browse/CISWCORE-41")
"""
the tree we're creating (observatory, sites, platforms, instruments)
rows are lettered, colums numbered.
- first row is implied a
- first column is implied 1
- site Z, just because
O--Sz
|
S--S2--P3--I4
|
Sb-Pb2-Ib3
|
P--I2
|
Pb
|
I
"""
#stuff we control
observatory_id, _ = self.RR.create(any_old(RT.Observatory))
subsite_id, _ = self.RR.create(any_old(RT.Subsite))
subsite2_id, _ = self.RR.create(any_old(RT.Subsite))
subsiteb_id, _ = self.RR.create(any_old(RT.Subsite))
subsitez_id, _ = self.RR.create(any_old(RT.Subsite))
platform_site_id, _ = self.RR.create(any_old(RT.PlatformSite))
platform_siteb_id, _ = self.RR.create(any_old(RT.PlatformSite))
platform_siteb2_id, _ = self.RR.create(any_old(RT.PlatformSite))
platform_site3_id, _ = self.RR.create(any_old(RT.PlatformSite))
instrument_site_id, _ = self.RR.create(any_old(RT.InstrumentSite))
instrument_site2_id, _ = self.RR.create(any_old(RT.InstrumentSite))
instrument_siteb3_id, _ = self.RR.create(any_old(RT.InstrumentSite))
instrument_site4_id, _ = self.RR.create(any_old(RT.InstrumentSite))
#stuff we associate to
instrument_model_id, _ = self.RR.create(any_old(RT.InstrumentModel))
instrument_device_id, _ = self.RR.create(any_old(RT.InstrumentDevice))
platform_model_id, _ = self.RR.create(any_old(RT.PlatformModel))
platform_device_id, _ = self.RR.create(any_old(RT.PlatformDevice))
deployment_id, _ = self.RR.create(any_old(RT.Deployment))
#observatory
self.RR.create_association(observatory_id, PRED.hasSite, subsite_id)
self.RR.create_association(observatory_id, PRED.hasSite, subsitez_id)
#site
self.RR.create_association(subsite_id, PRED.hasSite, subsite2_id)
self.RR.create_association(subsite_id, PRED.hasSite, subsiteb_id)
self.RR.create_association(subsite2_id, PRED.hasSite,
platform_site3_id)
self.RR.create_association(subsiteb_id, PRED.hasSite,
platform_siteb2_id)
self.RR.create_association(subsiteb_id, PRED.hasSite, platform_site_id)
#platform_site
self.RR.create_association(platform_site3_id, PRED.hasSite,
instrument_site4_id)
self.RR.create_association(platform_siteb2_id, PRED.hasSite,
instrument_siteb3_id)
self.RR.create_association(platform_site_id, PRED.hasSite,
instrument_site2_id)
self.RR.create_association(platform_site_id, PRED.hasSite,
platform_siteb_id)
self.RR.create_association(platform_siteb_id, PRED.hasSite,
instrument_site_id)
self.RR.create_association(platform_site_id, PRED.hasModel,
platform_model_id)
self.RR.create_association(platform_site_id, PRED.hasDevice,
platform_device_id)
self.RR.create_association(platform_site_id, PRED.hasDeployment,
deployment_id)
#instrument_site
self.RR.create_association(instrument_site_id, PRED.hasModel,
instrument_model_id)
self.RR.create_association(instrument_site_id, PRED.hasDevice,
instrument_device_id)
self.RR.create_association(instrument_site_id, PRED.hasDeployment,
deployment_id)
ret = DotDict()
ret.observatory_id = observatory_id
ret.subsite_id = subsite_id
ret.subsite2_id = subsite2_id
ret.subsiteb_id = subsiteb_id
ret.subsitez_id = subsitez_id
ret.platform_site_id = platform_site_id
ret.platform_siteb_id = platform_siteb_id
ret.platform_siteb2_id = platform_siteb2_id
ret.platform_site3_id = platform_site3_id
ret.instrument_site_id = instrument_site_id
ret.instrument_site2_id = instrument_site2_id
ret.instrument_siteb3_id = instrument_siteb3_id
ret.instrument_site4_id = instrument_site4_id
return ret
#@unittest.skip("targeting")
def test_create_observatory(self):
observatory_obj = IonObject(RT.Observatory,
name='TestFacility',
description='some new mf')
self.OMS.create_observatory(observatory_obj)
#@unittest.skip('targeting')
def test_find_observatory_org(self):
org_obj = IonObject(RT.Org,
name='TestOrg',
description='some new mf org')
org_id = self.OMS.create_marine_facility(org_obj)
observatory_obj = IonObject(RT.Observatory,
name='TestObservatory',
description='some new obs')
observatory_id = self.OMS.create_observatory(observatory_obj)
#make association
self.OMS.assign_resource_to_observatory_org(observatory_id, org_id)
#find association
org_objs = self.OMS.find_org_by_observatory(observatory_id)
self.assertEqual(1, len(org_objs))
self.assertEqual(org_id, org_objs[0]._id)
print("org_id=<" + org_id + ">")
#create a subsite with parent Observatory
subsite_obj = IonObject(RT.Subsite,
name='TestSubsite',
description='sample subsite')
subsite_id = self.OMS.create_subsite(subsite_obj, observatory_id)
self.assertIsNotNone(subsite_id, "Subsite not created.")
# verify that Subsite is linked to Observatory
mf_subsite_assoc = self.RR.get_association(observatory_id,
PRED.hasSite, subsite_id)
self.assertIsNotNone(mf_subsite_assoc,
"Subsite not connected to Observatory.")
# add the Subsite as a resource of this Observatory
self.OMS.assign_resource_to_observatory_org(resource_id=subsite_id,
org_id=org_id)
# verify that Subsite is linked to Org
org_subsite_assoc = self.RR.get_association(org_id, PRED.hasResource,
subsite_id)
self.assertIsNotNone(org_subsite_assoc,
"Subsite not connected as resource to Org.")
#create a logical platform with parent Subsite
platform_site_obj = IonObject(RT.PlatformSite,
name='TestPlatformSite',
description='sample logical platform')
platform_site_id = self.OMS.create_platform_site(
platform_site_obj, subsite_id)
self.assertIsNotNone(platform_site_id, "PlatformSite not created.")
# verify that PlatformSite is linked to Site
site_lp_assoc = self.RR.get_association(subsite_id, PRED.hasSite,
platform_site_id)
self.assertIsNotNone(site_lp_assoc,
"PlatformSite not connected to Site.")
# add the PlatformSite as a resource of this Observatory
self.OMS.assign_resource_to_observatory_org(
resource_id=platform_site_id, org_id=org_id)
# verify that PlatformSite is linked to Org
org_lp_assoc = self.RR.get_association(org_id, PRED.hasResource,
platform_site_id)
self.assertIsNotNone(org_lp_assoc,
"PlatformSite not connected as resource to Org.")
#create a logical instrument with parent logical platform
instrument_site_obj = IonObject(
RT.InstrumentSite,
name='TestInstrumentSite',
description='sample logical instrument')
instrument_site_id = self.OMS.create_instrument_site(
instrument_site_obj, platform_site_id)
self.assertIsNotNone(instrument_site_id, "InstrumentSite not created.")
# verify that InstrumentSite is linked to PlatformSite
li_lp_assoc = self.RR.get_association(platform_site_id, PRED.hasSite,
instrument_site_id)
self.assertIsNotNone(li_lp_assoc,
"InstrumentSite not connected to PlatformSite.")
# add the InstrumentSite as a resource of this Observatory
self.OMS.assign_resource_to_observatory_org(
resource_id=instrument_site_id, org_id=org_id)
# verify that InstrumentSite is linked to Org
org_li_assoc = self.RR.get_association(org_id, PRED.hasResource,
instrument_site_id)
self.assertIsNotNone(
org_li_assoc, "InstrumentSite not connected as resource to Org.")
# remove the InstrumentSite as a resource of this Observatory
self.OMS.unassign_resource_from_observatory_org(
instrument_site_id, org_id)
# verify that InstrumentSite is linked to Org
assocs, _ = self.RR.find_objects(org_id,
PRED.hasResource,
RT.InstrumentSite,
id_only=True)
self.assertEqual(len(assocs), 0)
# remove the InstrumentSite
self.OMS.delete_instrument_site(instrument_site_id)
assocs, _ = self.RR.find_objects(platform_site_id,
PRED.hasInstrument,
RT.InstrumentSite,
id_only=True)
self.assertEqual(len(assocs), 0)
# remove the PlatformSite as a resource of this Observatory
self.OMS.unassign_resource_from_observatory_org(
platform_site_id, org_id)
# verify that PlatformSite is linked to Org
assocs, _ = self.RR.find_objects(org_id,
PRED.hasResource,
RT.PlatformSite,
id_only=True)
self.assertEqual(len(assocs), 0)
# remove the Site as a resource of this Observatory
self.OMS.unassign_resource_from_observatory_org(subsite_id, org_id)
# verify that Site is linked to Org
assocs, _ = self.RR.find_objects(org_id,
PRED.hasResource,
RT.Subsite,
id_only=True)
self.assertEqual(len(assocs), 0)
