class DatasetManagementIntTest(IonIntegrationTestCase):
def setUp(self):
import couchdb
super(DatasetManagementIntTest,self).setUp()
self._start_container()
self.container.start_rel_from_url('res/deploy/r2dm.yml')
self.db = self.container.datastore_manager.get_datastore('scidata', DataStore.DS_PROFILE.SCIDATA)
self.db_raw = self.db.server
self.dataset_management_client = DatasetManagementServiceClient(node=self.container.node)
self.ingestion_client = IngestionManagementServiceClient(node=self.container.node)
def _random_data(self, entropy):
random_pressures = [(random.random()*100) for i in xrange(entropy)]
random_salinity = [(random.random()*28) for i in xrange(entropy)]
random_temperature = [(random.random()*10)+32 for i in xrange(entropy)]
random_times = [random.randrange(1328205227, 1328896395) for i in xrange(entropy)]
random_lat = [(random.random()*10)+30 for i in xrange(entropy)]
random_lon = [(random.random()*10)+70 for i in xrange(entropy)]
return [random_pressures, random_salinity, random_temperature, random_times, random_lat, random_lon]
def _generate_point(self, entropy=5):
points = []
random_values = self._random_data(entropy)
point = ctd_stream_packet(stream_id='test_data', p=random_values[0], c=random_values[1], t=random_values[2],time=random_values[3], lat=random_values[4], lon=random_values[5], create_hdf=False)
return point
def test_get_dataset_bounds(self):
for i in xrange(3):
point = self._generate_point()
self.db.create(point)
dataset_id = self.dataset_management_client.create_dataset(stream_id='test_data', datastore_name='scidata')
bounds = self.dataset_management_client.get_dataset_bounds(dataset_id=dataset_id)
self.assertTrue(bounds['latitude_bounds'][0] > 30.0)
self.assertTrue(bounds['latitude_bounds'][1] < 40.0)
self.assertTrue(bounds['longitude_bounds'][0] > 70.0)
self.assertTrue(bounds['longitude_bounds'][1] < 80.0)
self.dataset_management_client.delete_dataset(dataset_id)
@unittest.skip('not ready yet')
def test_dataset_ingestion(self):
couch_storage = { 'server':'localhost', 'database':'scidata'}
ingestion_configuration_id = self.ingestion_client.create_ingestion_configuration(
exchange_point_id='science_data',
couch_storage=couch_storage,
hdf_storage={},
number_of_workers=4,
default_policy={})
class ScienceGranuleIngestionIntTest(IonIntegrationTestCase):
def setUp(self):
self.datastore_name = 'datasets'
self.exchange_point = 'science_data'
self.exchange_space = 'science_granule_ingestion'
self.queue_name = self.exchange_space
self._start_container()
self.container.start_rel_from_url('res/deploy/r2dm.yml')
self.ingestion_management = IngestionManagementServiceClient()
self.pubsub = PubsubManagementServiceClient()
def build_granule(self):
return ScienceGranuleIngestionWorkerUnitTest.build_granule()
def launch_worker(self):
cfg = DotDict()
cfg.process.datastore_name = self.datastore_name
cfg.process.queue_name = self.queue_name
#@todo: replace with CEI friendly calls
pid = self.container.spawn_process('ingest_worker', 'ion.processes.data.ingestion.science_granule_ingestion_worker','ScienceGranuleIngestionWorker',cfg)
return pid
def create_ingestion_config(self):
ingest_queue = IngestionQueue(name=self.exchange_space, type='science_granule')
config_id = self.ingestion_management.create_ingestion_configuration(name='standard_ingest', exchange_point_id=self.exchange_point, queues=[ingest_queue])
return config_id
def create_stream(self):
stream_id = self.pubsub.create_stream()
return stream_id
def poll(self, evaluation_callback, *args, **kwargs):
now = time.time()
cutoff = now + 5
done = False
while not done:
if evaluation_callback(*args,**kwargs):
done = True
if now >= cutoff:
raise Timeout('No results found within the allotted time')
now = time.time()
return True
def on_start(self):
super(IngestionLauncher, self).on_start()
exchange_point = self.CFG.get("process", {}).get("exchange_point", "science_data")
couch_storage = self.CFG.get("process", {}).get("couch_storage", {})
couch_storage = CouchStorage(**couch_storage)
hdf_storage = self.CFG.get("process", {}).get("hdf_storage", {})
number_of_workers = self.CFG.get("process", {}).get("number_of_workers", 2)
ingestion_management_service = IngestionManagementServiceClient(node=self.container.node)
ingestion_id = ingestion_management_service.create_ingestion_configuration(
exchange_point_id=exchange_point,
couch_storage=couch_storage,
hdf_storage=hdf_storage,
number_of_workers=number_of_workers,
default_policy={},
)
ingestion_management_service.activate_ingestion_configuration(ingestion_id)
def on_start(self):
super(IngestionLauncher,self).on_start()
exchange_point = self.CFG.get_safe('ingestion.exchange_point','science_data')
couch_opts = self.CFG.get_safe('ingestion.couch_storage',{})
couch_storage = CouchStorage(**couch_opts)
hdf_opts = self.CFG.get_safe('ingestion.hdf_storage',{})
hdf_storage = HdfStorage(**hdf_opts)
number_of_workers = self.CFG.get_safe('ingestion.number_of_workers',2)
ingestion_management_service = IngestionManagementServiceClient(node=self.container.node)
ingestion_id = ingestion_management_service.create_ingestion_configuration(
exchange_point_id=exchange_point,
couch_storage=couch_storage,
hdf_storage=hdf_storage,
number_of_workers=number_of_workers
)
ingestion_management_service.activate_ingestion_configuration(ingestion_id)
def on_start(self):
super(IngestionLauncher, self).on_start()
exchange_point = self.CFG.get_safe('ingestion.exchange_point',
'science_data')
couch_opts = self.CFG.get_safe('ingestion.couch_storage', {})
couch_storage = CouchStorage(**couch_opts)
hdf_opts = self.CFG.get_safe('ingestion.hdf_storage', {})
hdf_storage = HdfStorage(**hdf_opts)
number_of_workers = self.CFG.get_safe('ingestion.number_of_workers', 2)
ingestion_management_service = IngestionManagementServiceClient(
node=self.container.node)
ingestion_id = ingestion_management_service.create_ingestion_configuration(
exchange_point_id=exchange_point,
couch_storage=couch_storage,
hdf_storage=hdf_storage,
number_of_workers=number_of_workers)
ingestion_management_service.activate_ingestion_configuration(
ingestion_id)
def test_blog_ingestion_replay(self):
#-----------------------------------------------------------------------------------------------------
# Do this statement just once in your script
#-----------------------------------------------------------------------------------------------------
cc = self.container
#-------------------------------------------------------------------------------------------------------
# Make a registrar object - this is work usually done for you by the container in a transform or data stream process
#-------------------------------------------------------------------------------------------------------
subscriber_registrar = StreamSubscriberRegistrar(process=cc, node=cc.node)
#-----------------------------------------------------------------------------------------------------
# Service clients
#-----------------------------------------------------------------------------------------------------
ingestion_cli = IngestionManagementServiceClient(node=cc.node)
dr_cli = DataRetrieverServiceClient(node=cc.node)
dsm_cli = DatasetManagementServiceClient(node=cc.node)
pubsub_cli = PubsubManagementServiceClient(node=cc.node)
#-------------------------------------------------------------------------------------------------------
# Create and activate ingestion configuration
#-------------------------------------------------------------------------------------------------------
ingestion_configuration_id = ingestion_cli.create_ingestion_configuration(
exchange_point_id='science_data',
couch_storage=CouchStorage(datastore_name='dm_datastore',datastore_profile='EXAMPLES'),
hdf_storage=HdfStorage(),
number_of_workers=6,
)
# activates the transforms... so bindings will be created in this step
ingestion_cli.activate_ingestion_configuration(ingestion_configuration_id)
#------------------------------------------------------------------------------------------------------
# Create subscriber to listen to the messages published to the ingestion
#------------------------------------------------------------------------------------------------------
# Define the query we want
query = ExchangeQuery()
# Create the stateful listener to hold the captured data for comparison with replay
captured_input = BlogListener()
# Make a subscription to the input stream to ingestion
subscription_id = pubsub_cli.create_subscription(query = query, exchange_name='input_capture_queue' ,name = 'input_capture_queue')
# It is not required or even generally a good idea to use the subscription resource name as the queue name, but it makes things simple here
# Normally the container creates and starts subscribers for you when a transform process is spawned
subscriber = subscriber_registrar.create_subscriber(exchange_name='input_capture_queue', callback=captured_input.blog_store)
subscriber.start()
captured_input.subscriber = subscriber
pubsub_cli.activate_subscription(subscription_id)
#-------------------------------------------------------------------------------------------------------
# Launching blog scraper
#-------------------------------------------------------------------------------------------------------
blogs = [
'saintsandspinners',
'strobist',
'voodoofunk'
]
log.debug('before spawning blog scraper')
for blog in blogs:
config = {'process':{'type':'stream_process','blog':blog}}
cc.spawn_process(name=blog,
module='ion.services.dm.ingestion.example.blog_scraper',
cls='FeedStreamer',
config=config)
# wait ten seconds for some data to come in...
log.warn('Sleeping for 10 seconds to wait for some input')
time.sleep(10)
#------------------------------------------------------------------------------------------------------
# For 3 posts captured, make 3 replays and verify we get back what came in
#------------------------------------------------------------------------------------------------------
# Cute list comprehension method does not give enough control
#self.assertTrue(len(captured_input.blogs)>3)
#post_ids = [id for idx, id in enumerate(captured_input.blogs.iterkeys()) if idx < 3]
post_ids = []
for post_id, blog in captured_input.blogs.iteritems(): # Use items not iter items - I copy of fixed length
log.info('Captured Input: %s' % post_id)
if len(blog.get('comments',[])) > 2:
post_ids.append(post_id)
if len(post_ids) >3:
break
###=======================================================
### This section is not scriptable
###=======================================================
if len(post_ids) < 3:
self.fail('Not enough comments returned by the blog scrappers in 30 seconds')
if len(captured_input.blogs) < 1:
self.fail('No data returned in ten seconds by the blog scrappers!')
###=======================================================
### End non-scriptable
###=======================================================
#------------------------------------------------------------------------------------------------------
# Create subscriber to listen to the replays
#------------------------------------------------------------------------------------------------------
captured_replays = {}
for idx, post_id in enumerate(post_ids):
# Create the stateful listener to hold the captured data for comparison with replay
dataset_id = dsm_cli.create_dataset(
stream_id=post_id,
datastore_name='dm_datastore',
view_name='posts/posts_join_comments')
replay_id, stream_id =dr_cli.define_replay(dataset_id)
query = StreamQuery(stream_ids=[stream_id])
captured_replay = BlogListener()
#------------------------------------------------------------------------------------------------------
# Create subscriber to listen to the messages published to the ingestion
#------------------------------------------------------------------------------------------------------
# Make a subscription to the input stream to ingestion
subscription_name = 'replay_capture_queue_%d' % idx
subscription_id = pubsub_cli.create_subscription(query = query, exchange_name=subscription_name ,name = subscription_name)
# It is not required or even generally a good idea to use the subscription resource name as the queue name, but it makes things simple here
# Normally the container creates and starts subscribers for you when a transform process is spawned
subscriber = subscriber_registrar.create_subscriber(exchange_name=subscription_name, callback=captured_replay.blog_store)
subscriber.start()
captured_replay.subscriber = subscriber
pubsub_cli.activate_subscription(subscription_id)
#------------------------------------------------------------------------------------------------------
# Start the replay and listen to the results!
#------------------------------------------------------------------------------------------------------
dr_cli.start_replay(replay_id)
captured_replays[post_id] = captured_replay
###=======================================================
### The rest is not scriptable
###=======================================================
# wait five seconds for some data to come in...
log.warn('Sleeping for 5 seconds to wait for some output')
time.sleep(5)
matched_comments={}
for post_id, captured_replay in captured_replays.iteritems():
# There should be only one blog in here!
self.assertEqual(len(captured_replay.blogs),1)
replayed_blog = captured_replay.blogs[post_id]
input_blog = captured_input.blogs[post_id]
self.assertEqual(replayed_blog['post'].content, input_blog['post'].content)
# can't deterministically assert that the number of comments is the same...
matched_comments[post_id] = 0
for updated, comment in replayed_blog.get('comments',{}).iteritems():
self.assertIn(updated, input_blog['comments'])
matched_comments[post_id] += 1
# Assert that we got some comments back!
self.assertTrue(sum(matched_comments.values()) > 0)
log.info('Matched comments on the following blogs: %s' % matched_comments)
def test_dm_integration(self):
'''
test_salinity_transform
Test full DM Services Integration
'''
cc = self.container
assertions = self.assertTrue
#-----------------------------
# Copy below here to run as a script (don't forget the imports of course!)
#-----------------------------
# Create some service clients...
pubsub_management_service = PubsubManagementServiceClient(node=cc.node)
ingestion_management_service = IngestionManagementServiceClient(node=cc.node)
dataset_management_service = DatasetManagementServiceClient(node=cc.node)
data_retriever_service = DataRetrieverServiceClient(node=cc.node)
transform_management_service = TransformManagementServiceClient(node=cc.node)
process_dispatcher = ProcessDispatcherServiceClient(node=cc.node)
# declare some handy variables
datastore_name = 'test_dm_integration'
###
### In the beginning there were two stream definitions...
###
# create a stream definition for the data from the ctd simulator
ctd_stream_def = SBE37_CDM_stream_definition()
ctd_stream_def_id = pubsub_management_service.create_stream_definition(container=ctd_stream_def, name='Simulated CTD data')
# create a stream definition for the data from the salinity Transform
sal_stream_def_id = pubsub_management_service.create_stream_definition(container=SalinityTransform.outgoing_stream_def, name='Scalar Salinity data stream')
###
### And two process definitions...
###
# one for the ctd simulator...
producer_definition = ProcessDefinition()
producer_definition.executable = {
'module':'ion.processes.data.ctd_stream_publisher',
'class':'SimpleCtdPublisher'
}
ctd_sim_procdef_id = process_dispatcher.create_process_definition(process_definition=producer_definition)
# one for the salinity transform
producer_definition = ProcessDefinition()
producer_definition.executable = {
'module':'ion.processes.data.transforms.ctd.ctd_L2_salinity',
'class':'SalinityTransform'
}
salinity_transform_procdef_id = process_dispatcher.create_process_definition(process_definition=producer_definition)
#---------------------------
# Set up ingestion - this is an operator concern - not done by SA in a deployed system
#---------------------------
# Configure ingestion using eight workers, ingesting to test_dm_integration datastore with the SCIDATA profile
log.debug('Calling create_ingestion_configuration')
ingestion_configuration_id = ingestion_management_service.create_ingestion_configuration(
exchange_point_id='science_data',
couch_storage=CouchStorage(datastore_name=datastore_name,datastore_profile='SCIDATA'),
number_of_workers=1
)
#
ingestion_management_service.activate_ingestion_configuration(
ingestion_configuration_id=ingestion_configuration_id)
#---------------------------
# Set up the producer (CTD Simulator)
#---------------------------
# Create the stream
ctd_stream_id = pubsub_management_service.create_stream(stream_definition_id=ctd_stream_def_id)
# Set up the datasets
ctd_dataset_id = dataset_management_service.create_dataset(
stream_id=ctd_stream_id,
datastore_name=datastore_name,
view_name='datasets/stream_join_granule'
)
# Configure ingestion of this dataset
ctd_dataset_config_id = ingestion_management_service.create_dataset_configuration(
dataset_id = ctd_dataset_id,
archive_data = True,
archive_metadata = True,
ingestion_configuration_id = ingestion_configuration_id, # you need to know the ingestion configuration id!
)
# Hold onto ctd_dataset_config_id if you want to stop/start ingestion of that dataset by the ingestion service
#---------------------------
# Set up the salinity transform
#---------------------------
# Create the stream
sal_stream_id = pubsub_management_service.create_stream(stream_definition_id=sal_stream_def_id)
# Set up the datasets
sal_dataset_id = dataset_management_service.create_dataset(
stream_id=sal_stream_id,
datastore_name=datastore_name,
view_name='datasets/stream_join_granule'
)
# Configure ingestion of the salinity as a dataset
sal_dataset_config_id = ingestion_management_service.create_dataset_configuration(
dataset_id = sal_dataset_id,
archive_data = True,
archive_metadata = True,
ingestion_configuration_id = ingestion_configuration_id, # you need to know the ingestion configuration id!
)
# Hold onto sal_dataset_config_id if you want to stop/start ingestion of that dataset by the ingestion service
# Create a subscription as input to the transform
sal_transform_input_subscription_id = pubsub_management_service.create_subscription(
query = StreamQuery(stream_ids=[ctd_stream_id,]),
exchange_name='salinity_transform_input') # how do we make these names??? i.e. Should they be anonymous?
# create the salinity transform
sal_transform_id = transform_management_service.create_transform(
name='example salinity transform',
in_subscription_id=sal_transform_input_subscription_id,
out_streams={'output':sal_stream_id,},
process_definition_id = salinity_transform_procdef_id,
# no configuration needed at this time...
)
# start the transform - for a test case it makes sense to do it before starting the producer but it is not required
transform_management_service.activate_transform(transform_id=sal_transform_id)
# Start the ctd simulator to produce some data
configuration = {
'process':{
'stream_id':ctd_stream_id,
}
}
ctd_sim_pid = process_dispatcher.schedule_process(process_definition_id=ctd_sim_procdef_id, configuration=configuration)
###
### Make a subscriber in the test to listen for salinity data
###
salinity_subscription_id = pubsub_management_service.create_subscription(
query=StreamQuery([sal_stream_id,]),
exchange_name = 'salinity_test',
name = "test salinity subscription",
)
pid = cc.spawn_process(name='dummy_process_for_test',
module='pyon.ion.process',
cls='SimpleProcess',
config={})
dummy_process = cc.proc_manager.procs[pid]
subscriber_registrar = StreamSubscriberRegistrar(process=dummy_process, node=cc.node)
result = gevent.event.AsyncResult()
results = []
def message_received(message, headers):
# Heads
log.warn('Salinity data received!')
results.append(message)
if len(results) >3:
result.set(True)
subscriber = subscriber_registrar.create_subscriber(exchange_name='salinity_test', callback=message_received)
subscriber.start()
# after the queue has been created it is safe to activate the subscription
pubsub_management_service.activate_subscription(subscription_id=salinity_subscription_id)
# Assert that we have received data
assertions(result.get(timeout=10))
# stop the flow parse the messages...
process_dispatcher.cancel_process(ctd_sim_pid) # kill the ctd simulator process - that is enough data
for message in results:
psd = PointSupplementStreamParser(stream_definition=SalinityTransform.outgoing_stream_def, stream_granule=message)
# Test the handy info method for the names of fields in the stream def
assertions('salinity' in psd.list_field_names())
# you have to know the name of the coverage in stream def
salinity = psd.get_values('salinity')
import numpy
assertions(isinstance(salinity, numpy.ndarray))
assertions(numpy.nanmin(salinity) > 0.0) # salinity should always be greater than 0
class IngestionManagementIntTest(IonIntegrationTestCase):
def setUp(self):
self._start_container()
self.container.start_rel_from_url("res/deploy/r2deploy.yml")
self.ingestion_management = IngestionManagementServiceClient()
self.resource_registry = ResourceRegistryServiceClient()
self.pubsub_management = PubsubManagementServiceClient()
self.ingest_name = "basic"
self.exchange = "testdata"
@staticmethod
def clean_subscriptions():
ingestion_management = IngestionManagementServiceClient()
pubsub = PubsubManagementServiceClient()
rr = ResourceRegistryServiceClient()
ingestion_config_ids = ingestion_management.list_ingestion_configurations(id_only=True)
for ic in ingestion_config_ids:
assocs = rr.find_associations(subject=ic, predicate=PRED.hasSubscription, id_only=False)
for assoc in assocs:
rr.delete_association(assoc)
try:
pubsub.deactivate_subscription(assoc.o)
except:
pass
pubsub.delete_subscription(assoc.o)
def create_ingest_config(self):
self.queue = IngestionQueue(name="test", type="testdata")
# Create the ingestion config
ingestion_config_id = self.ingestion_management.create_ingestion_configuration(
name=self.ingest_name, exchange_point_id=self.exchange, queues=[self.queue]
)
return ingestion_config_id
def test_ingestion_config_crud(self):
ingestion_config_id = self.create_ingest_config()
ingestion_config = self.ingestion_management.read_ingestion_configuration(ingestion_config_id)
self.assertTrue(ingestion_config.name == self.ingest_name)
self.assertTrue(ingestion_config.queues[0].name == "test")
self.assertTrue(ingestion_config.queues[0].type == "testdata")
ingestion_config.name = "another"
self.ingestion_management.update_ingestion_configuration(ingestion_config)
# Create an association just to make sure that it will delete them
sub = Subscription()
sub_id, _ = self.resource_registry.create(sub)
assoc_id, _ = self.resource_registry.create_association(
subject=ingestion_config_id, predicate=PRED.hasSubscription, object=sub_id
)
self.ingestion_management.delete_ingestion_configuration(ingestion_config_id)
with self.assertRaises(NotFound):
self.resource_registry.read(assoc_id)
def test_list_ingestion(self):
# Create the ingest_config
config_id = self.create_ingest_config()
retval = self.ingestion_management.list_ingestion_configurations(id_only=True)
# Nice thing about this is that it breaks if r2dm adds an ingest_config
self.assertTrue(config_id in retval)
class DMCollaborationIntTest(IonIntegrationTestCase):
def setUp(self):
self._start_container()
config = DotDict()
config.bootstrap.processes.ingestion.module = 'ion.processes.data.ingestion.ingestion_worker_a'
config.bootstrap.processes.replay.module = 'ion.processes.data.replay.replay_process_a'
self.container.start_rel_from_url('res/deploy/r2dm.yml', config)
self.datastore_name = 'test_datasets'
self.pubsub_management = PubsubManagementServiceClient()
self.ingestion_management = IngestionManagementServiceClient()
self.dataset_management = DatasetManagementServiceClient()
self.process_dispatcher = ProcessDispatcherServiceClient()
self.data_retriever = DataRetrieverServiceClient()
def subscriber_action(self, msg, header):
if not hasattr(self,'received'):
self.received = 0
if not hasattr(self, 'async_done'):
self.async_done = AsyncResult()
self.received += 1
if self.received >= 2:
self.async_done.set(True)
def test_ingest_to_replay(self):
self.async_done = AsyncResult()
sysname = get_sys_name()
datastore = self.container.datastore_manager.get_datastore(self.datastore_name,'SCIDATA')
producer_definition = ProcessDefinition(name='Example Data Producer')
producer_definition.executable = {
'module':'ion.processes.data.example_data_producer',
'class' :'ExampleDataProducer'
}
process_definition_id = self.process_dispatcher.create_process_definition(process_definition=producer_definition)
ingestion_configuration_id = self.ingestion_management.create_ingestion_configuration(
exchange_point_id = 'science_data',
couch_storage=CouchStorage(datastore_name=self.datastore_name,datastore_profile='SCIDATA'),
number_of_workers=1
)
self.ingestion_management.activate_ingestion_configuration(
ingestion_configuration_id=ingestion_configuration_id)
stream_id = self.pubsub_management.create_stream(name='data stream')
dataset_id = self.dataset_management.create_dataset(
stream_id = stream_id,
datastore_name = self.datastore_name,
)
self.ingestion_management.create_dataset_configuration(
dataset_id = dataset_id,
archive_data = True,
archive_metadata = True,
ingestion_configuration_id = ingestion_configuration_id
)
configuration = {
'process': {
'stream_id' : stream_id
}
}
self.process_dispatcher.schedule_process(process_definition_id, configuration=configuration)
replay_id, stream_id = self.data_retriever.define_replay(dataset_id = dataset_id)
subscriber = Subscriber(name=('%s.science_data' % sysname, 'test_queue'), callback=self.subscriber_action, binding='%s.data' % stream_id)
gevent.spawn(subscriber.listen)
done = False
while not done:
results = datastore.query_view('manifest/by_dataset')
if len(results) >= 2:
done = True
self.data_retriever.start_replay(replay_id)
self.async_done.get(timeout=10)
def test_replay_integration(self):
'''
Test full DM Services Integration
'''
cc = self.container
### Every thing below here can be run as a script:
pubsub_management_service = PubsubManagementServiceClient(node=cc.node)
ingestion_management_service = IngestionManagementServiceClient(node=cc.node)
dataset_management_service = DatasetManagementServiceClient(node=cc.node)
data_retriever_service = DataRetrieverServiceClient(node=cc.node)
resource_registry_service = ResourceRegistryServiceClient(node=cc.node)
#------------------------------------------------------------------------------------------------------
# Datastore name
#------------------------------------------------------------------------------------------------------
datastore_name = 'test_replay_integration'
#------------------------------------------------------------------------------------------------------
# Spawn process
#------------------------------------------------------------------------------------------------------
pid = cc.spawn_process(name='dummy_process_for_test',
module='pyon.ion.process',
cls='SimpleProcess',
config={})
dummy_process = cc.proc_manager.procs[pid]
#------------------------------------------------------------------------------------------------------
# Set up subscriber
#------------------------------------------------------------------------------------------------------
# Normally the user does not see or create the publisher, this is part of the containers business.
# For the test we need to set it up explicitly
publisher_registrar = StreamPublisherRegistrar(process=dummy_process, node=cc.node)
subscriber_registrar = StreamSubscriberRegistrar(process=cc, node=cc.node)
#------------------------------------------------------------------------------------------------------
# Set up ingestion
#------------------------------------------------------------------------------------------------------
# Configure ingestion using eight workers, ingesting to test_dm_integration datastore with the SCIDATA profile
ingestion_configuration_id = ingestion_management_service.create_ingestion_configuration(
exchange_point_id='science_data',
couch_storage=CouchStorage(datastore_name=datastore_name, datastore_profile='SCIDATA'),
hdf_storage=HdfStorage(),
number_of_workers=1,
)
ingestion_management_service.activate_ingestion_configuration(
ingestion_configuration_id=ingestion_configuration_id)
#------------------------------------------------------------------------------------------------------
# Grab the transforms acting as ingestion workers
#------------------------------------------------------------------------------------------------------
transforms = [resource_registry_service.read(assoc.o)
for assoc in resource_registry_service.find_associations(ingestion_configuration_id, PRED.hasTransform)]
proc_1 = cc.proc_manager.procs[transforms[0].process_id]
log.info("PROCESS 1: %s" % str(proc_1))
#------------------------------------------------------------------------------------------------------
# Set up the test hooks for the gevent event AsyncResult object
#------------------------------------------------------------------------------------------------------
def ingestion_worker_received(message, headers):
ar.set(message)
proc_1.ingest_process_test_hook = ingestion_worker_received
#------------------------------------------------------------------------------------------------------
# Set up the producers (CTD Simulators)
#------------------------------------------------------------------------------------------------------
ctd_stream_def = ctd_stream_definition()
stream_def_id = pubsub_management_service.create_stream_definition(container=ctd_stream_def, name='Junk definition')
stream_id = pubsub_management_service.create_stream(stream_definition_id=stream_def_id)
#------------------------------------------------------------------------------------------------------
# Set up the dataset config
#------------------------------------------------------------------------------------------------------
dataset_id = dataset_management_service.create_dataset(
stream_id=stream_id,
datastore_name=datastore_name,
view_name='datasets/stream_join_granule'
)
dataset_config_id = ingestion_management_service.create_dataset_configuration(
dataset_id = dataset_id,
archive_data = True,
archive_metadata = True,
ingestion_configuration_id = ingestion_configuration_id
)
#------------------------------------------------------------------------------------------------------
# Launch a ctd_publisher
#------------------------------------------------------------------------------------------------------
publisher = publisher_registrar.create_publisher(stream_id=stream_id)
#------------------------------------------------------------------------
# Create a packet and publish it
#------------------------------------------------------------------------
ctd_packet = _create_packet(stream_id)
published_hdfstring = ctd_packet.identifiables['ctd_data'].values
publisher.publish(ctd_packet)
#------------------------------------------------------------------------------------------------------
# Catch what the ingestion worker gets! Assert it is the same packet that was published!
#------------------------------------------------------------------------------------------------------
packet = ar.get(timeout=2)
#------------------------------------------------------------------------------------------------------
# Create subscriber to listen to the replays
#------------------------------------------------------------------------------------------------------
replay_id, replay_stream_id = data_retriever_service.define_replay(dataset_id)
query = StreamQuery(stream_ids=[replay_stream_id])
subscription_id = pubsub_management_service.create_subscription(query = query, exchange_name='replay_capture_point' ,name = 'replay_capture_point')
# It is not required or even generally a good idea to use the subscription resource name as the queue name, but it makes things simple here
# Normally the container creates and starts subscribers for you when a transform process is spawned
subscriber = subscriber_registrar.create_subscriber(exchange_name='replay_capture_point', callback=_subscriber_call_back)
subscriber.start()
pubsub_management_service.activate_subscription(subscription_id)
#------------------------------------------------------------------------------------------------------
# Start the replay
#------------------------------------------------------------------------------------------------------
data_retriever_service.start_replay(replay_id)
#------------------------------------------------------------------------------------------------------
# Get the hdf string from the captured stream in the replay
#------------------------------------------------------------------------------------------------------
retrieved_hdf_string = ar2.get(timeout=2)
### Non scriptable portion of the test
#------------------------------------------------------------------------------------------------------
# Assert that it matches the message we sent
#------------------------------------------------------------------------------------------------------
self.assertEquals(packet.identifiables['stream_encoding'].sha1, ctd_packet.identifiables['stream_encoding'].sha1)
self.assertEquals(retrieved_hdf_string, published_hdfstring)
def test_replay_integration(self):
'''
test_replay_integration
'''
import numpy as np
# Keep the import it's used in the vector comparison below even though pycharm says its unused.
cc = self.container
XP = self.XP
assertions = self.assertTrue
### Every thing below here can be run as a script:
log.debug('Got it')
pubsub_management_service = PubsubManagementServiceClient(node=cc.node)
ingestion_management_service = IngestionManagementServiceClient(node=cc.node)
dataset_management_service = DatasetManagementServiceClient(node=cc.node)
data_retriever_service = DataRetrieverServiceClient(node=cc.node)
datastore_name = 'dm_test_replay_integration'
producer = Publisher(name=(XP,'stream producer'))
ingestion_configuration_id = ingestion_management_service.create_ingestion_configuration(
exchange_point_id=XP,
couch_storage=CouchStorage(datastore_name=datastore_name,datastore_profile='SCIDATA'),
hdf_storage=HdfStorage(),
number_of_workers=1
)
ingestion_management_service.activate_ingestion_configuration(
ingestion_configuration_id=ingestion_configuration_id
)
definition = SBE37_CDM_stream_definition()
data_stream_id = definition.data_stream_id
encoding_id = definition.identifiables[data_stream_id].encoding_id
element_count_id = definition.identifiables[data_stream_id].element_count_id
stream_def_id = pubsub_management_service.create_stream_definition(
container=definition
)
stream_id = pubsub_management_service.create_stream(
stream_definition_id=stream_def_id
)
dataset_id = dataset_management_service.create_dataset(
stream_id=stream_id,
datastore_name=datastore_name,
view_name='datasets/dataset_by_id'
)
ingestion_management_service.create_dataset_configuration(
dataset_id=dataset_id,
archive_data=True,
archive_metadata=True,
ingestion_configuration_id = ingestion_configuration_id
)
definition.stream_resource_id = stream_id
packet = _create_packet(definition)
input_file = FileSystem.mktemp()
input_file.write(packet.identifiables[data_stream_id].values)
input_file_path = input_file.name
input_file.close()
fields=[
'conductivity',
'height',
'latitude',
'longitude',
'pressure',
'temperature',
'time'
]
input_vectors = acquire_data([input_file_path],fields , 2).next()
producer.publish(msg=packet, to_name=(XP,'%s.data' % stream_id))
replay_id, replay_stream_id = data_retriever_service.define_replay(dataset_id)
ar = gevent.event.AsyncResult()
def sub_listen(msg, headers):
assertions(isinstance(msg,StreamGranuleContainer),'replayed message is not a granule.')
hdf_string = msg.identifiables[data_stream_id].values
sha1 = hashlib.sha1(hdf_string).hexdigest().upper()
assertions(sha1 == msg.identifiables[encoding_id].sha1,'Checksum failed.')
assertions(msg.identifiables[element_count_id].value==1, 'record replay count is incorrect %d.' % msg.identifiables[element_count_id].value)
output_file = FileSystem.mktemp()
output_file.write(msg.identifiables[data_stream_id].values)
output_file_path = output_file.name
output_file.close()
output_vectors = acquire_data([output_file_path],fields,2).next()
for field in fields:
comparison = (input_vectors[field]['values']==output_vectors[field]['values'])
assertions(comparison.all(), 'vector mismatch: %s vs %s' %
(input_vectors[field]['values'],output_vectors[field]['values']))
FileSystem.unlink(output_file_path)
ar.set(True)
subscriber = Subscriber(name=(XP,'replay listener'),callback=sub_listen)
g = gevent.Greenlet(subscriber.listen, binding='%s.data' % replay_stream_id)
g.start()
data_retriever_service.start_replay(replay_id)
ar.get(timeout=10)
FileSystem.unlink(input_file_path)
def test_raw_stream_integration(self):
cc = self.container
assertions = self.assertTrue
#-----------------------------
# Copy below here to run as a script (don't forget the imports of course!)
#-----------------------------
# Create some service clients...
pubsub_management_service = PubsubManagementServiceClient(node=cc.node)
ingestion_management_service = IngestionManagementServiceClient(
node=cc.node)
dataset_management_service = DatasetManagementServiceClient(
node=cc.node)
process_dispatcher = ProcessDispatcherServiceClient(node=cc.node)
# declare some handy variables
datastore_name = 'test_dm_integration'
###
### In the beginning there was one stream definitions...
###
# create a stream definition for the data from the ctd simulator
raw_ctd_stream_def = SBE37_RAW_stream_definition()
raw_ctd_stream_def_id = pubsub_management_service.create_stream_definition(
container=raw_ctd_stream_def, name='Simulated RAW CTD data')
###
### And two process definitions...
###
# one for the ctd simulator...
producer_definition = ProcessDefinition()
producer_definition.executable = {
'module': 'ion.processes.data.raw_stream_publisher',
'class': 'RawStreamPublisher'
}
raw_ctd_sim_procdef_id = process_dispatcher.create_process_definition(
process_definition=producer_definition)
#---------------------------
# Set up ingestion - this is an operator concern - not done by SA in a deployed system
#---------------------------
# Configure ingestion using eight workers, ingesting to test_dm_integration datastore with the SCIDATA profile
log.debug('Calling create_ingestion_configuration')
ingestion_configuration_id = ingestion_management_service.create_ingestion_configuration(
exchange_point_id='science_data',
couch_storage=CouchStorage(datastore_name=datastore_name,
datastore_profile='SCIDATA'),
number_of_workers=1)
#
ingestion_management_service.activate_ingestion_configuration(
ingestion_configuration_id=ingestion_configuration_id)
#---------------------------
# Set up the producer (CTD Simulator)
#---------------------------
# Create the stream
raw_ctd_stream_id = pubsub_management_service.create_stream(
stream_definition_id=raw_ctd_stream_def_id)
# Set up the datasets
raw_ctd_dataset_id = dataset_management_service.create_dataset(
stream_id=raw_ctd_stream_id,
datastore_name=datastore_name,
view_name='datasets/stream_join_granule')
# Configure ingestion of this dataset
raw_ctd_dataset_config_id = ingestion_management_service.create_dataset_configuration(
dataset_id=raw_ctd_dataset_id,
archive_data=True,
archive_metadata=True,
ingestion_configuration_id=
ingestion_configuration_id, # you need to know the ingestion configuration id!
)
# Hold onto ctd_dataset_config_id if you want to stop/start ingestion of that dataset by the ingestion service
# Start the ctd simulator to produce some data
configuration = {
'process': {
'stream_id': raw_ctd_stream_id,
}
}
raw_sim_pid = process_dispatcher.schedule_process(
process_definition_id=raw_ctd_sim_procdef_id,
configuration=configuration)
###
### Make a subscriber in the test to listen for salinity data
###
raw_subscription_id = pubsub_management_service.create_subscription(
query=StreamQuery([
raw_ctd_stream_id,
]),
exchange_name='raw_test',
name="test raw subscription",
)
# this is okay - even in cei mode!
pid = cc.spawn_process(name='dummy_process_for_test',
module='pyon.ion.process',
cls='SimpleProcess',
config={})
dummy_process = cc.proc_manager.procs[pid]
subscriber_registrar = StreamSubscriberRegistrar(process=dummy_process,
node=cc.node)
result = gevent.event.AsyncResult()
results = []
def message_received(message, headers):
# Heads
log.warn('Raw data received!')
results.append(message)
if len(results) > 3:
result.set(True)
subscriber = subscriber_registrar.create_subscriber(
exchange_name='raw_test', callback=message_received)
subscriber.start()
# after the queue has been created it is safe to activate the subscription
pubsub_management_service.activate_subscription(
subscription_id=raw_subscription_id)
# Assert that we have received data
assertions(result.get(timeout=10))
# stop the flow parse the messages...
process_dispatcher.cancel_process(
raw_sim_pid
) # kill the ctd simulator process - that is enough data
gevent.sleep(1)
for message in results:
sha1 = message.identifiables['stream_encoding'].sha1
data = message.identifiables['data_stream'].values
filename = FileSystem.get_hierarchical_url(FS.CACHE, sha1, ".raw")
with open(filename, 'r') as f:
assertions(data == f.read())
class 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)
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("timeout on start inst agent?")
def test_reassignPrimaryDevice(self):
# ensure no processes or pids are left around by agents or Sims
self.cleanupprocs()
# Set up the preconditions
# 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 ingestion configuration and activate it
# -------------------------------
ingestion_configuration_id = self.ingestclient.create_ingestion_configuration(
exchange_point_id=self.exchange_point_id,
couch_storage=self.couch_storage,
hdf_storage=self.hdf_storage,
number_of_workers=self.number_of_workers,
)
print "test_deployAsPrimaryDevice: ingestion_configuration_id", ingestion_configuration_id
# activate an ingestion configuration
ret = self.ingestclient.activate_ingestion_configuration(ingestion_configuration_id)
# -------------------------------
# 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_deployAsPrimaryDevice: 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_deployAsPrimaryDevice: new InstrumentAgent id = ", 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)
# -------------------------------
# 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
# deploy this device to the logical slot
self.omsclient.deploy_instrument_device_to_instrument_site(oldInstDevice_id, instrumentSite_id)
self.rrclient.execute_lifecycle_transition(oldInstDevice_id, LCE.DEPLOY)
self.rrclient.execute_lifecycle_transition(oldInstDevice_id, LCE.ENABLE)
# set this device as the current primary device
self.omsclient.deploy_as_primary_instrument_device_to_instrument_site(oldInstDevice_id, instrumentSite_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,
# -------------------------------
instAgentInstance_obj = IonObject(
RT.InstrumentAgentInstance,
name="SBE37IMAgentInstanceYear1",
description="SBE37IMAgentInstance Year 1",
svr_addr="localhost",
driver_module="ion.agents.instrument.drivers.sbe37.sbe37_driver",
driver_class="SBE37Driver",
cmd_port=5556,
evt_port=5557,
comms_method="ethernet",
comms_device_address="localhost",
comms_device_port=4001,
comms_server_address="localhost",
comms_server_port=8888,
)
oldInstAgentInstance_id = self.imsclient.create_instrument_agent_instance(
instAgentInstance_obj, instAgent_id, oldInstDevice_id
)
# -------------------------------
# Create CTD Parsed as the Year 1 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_deployAsPrimaryDevice: new Stream Definition id = ", ctd_stream_def_id
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")
try:
ctd_parsed_data_product_year1 = 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_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
# deploy this device to the logical slot
self.omsclient.deploy_instrument_device_to_instrument_site(newInstDevice_id, instrumentSite_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 InstrumentAgentInstance for NewInstrumentDevice to hold configuration information
# -------------------------------
instAgentInstance_new__obj = IonObject(
RT.InstrumentAgentInstance,
name="SBE37IMAgentInstanceYear2",
description="SBE37IMAgentInstance Year 2",
svr_addr="localhost",
driver_module="ion.agents.instrument.drivers.sbe37.sbe37_driver",
driver_class="SBE37Driver",
cmd_port=5556,
evt_port=5557,
comms_method="ethernet",
comms_device_address="localhost",
comms_device_port=4002,
comms_server_address="localhost",
comms_server_port=8888,
)
newInstAgentInstance_id = self.imsclient.create_instrument_agent_instance(
instAgentInstance_new__obj, instAgent_id, newInstDevice_id
)
# -------------------------------
# Create CTD Parsed as the Year 2 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_deployAsPrimaryDevice: new Stream Definition id = ", ctd_stream_def_id
print "Creating new CDM data product with a stream definition"
dp_obj = IonObject(RT.DataProduct, name="ctd_parsed_year2", description="ctd stream test year 2")
try:
ctd_parsed_data_product_year2 = 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_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
# -------------------------------
# Logical Data Product: Data Process Definition
# -------------------------------
# log.debug(" test_deployAsPrimaryDevice: create data process definition logical_transform")
# dpd_obj = IonObject(RT.DataProcessDefinition,
# name='logical_transform',
# description='send the packet from the in stream to the out stream unchanged',
# module='ion.processes.data.transforms.logical_transform',
# class_name='logical_transform',
# process_source='some_source_reference')
# try:
# logical_transform_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: 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",
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)
# -------------------------------
# Logical Transform: Output Data Products
# -------------------------------
# outgoing_logical_stream_def = SBE37_CDM_stream_definition()
# outgoing_logical_stream_def_id = self.pubsubclient.create_stream_definition(container=outgoing_logical_stream_def)
# self.dataprocessclient.assign_stream_definition_to_data_process_definition(outgoing_logical_stream_def_id, logical_transform_dprocdef_id )
#
# log.debug("test_deployAsPrimaryDevice: create output parsed data product for Logical Instrument")
# ctd_logical_output_dp_obj = IonObject(RT.DataProduct, name='ctd_parsed_logical',description='ctd parsed from the logical instrument')
# instrument_site_output_dp_id = self.dataproductclient.create_data_product(ctd_logical_output_dp_obj, outgoing_logical_stream_def_id)
# self.dataproductclient.activate_data_product_persistence(data_product_id=instrument_site_output_dp_id, persist_data=True, persist_metadata=True)
# -------------------------------
# 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_deployAsPrimaryDevice: 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_deployAsPrimaryDevice: 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_deployAsPrimaryDevice: 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)
# -------------------------------
# CTD Logical: Create the data process
# -------------------------------
# log.debug("test_deployAsPrimaryDevice: create ctd_parsed logical data_process start")
# try:
# ctd_parsed_logical_data_process_id = self.dataprocessclient.create_data_process(logical_transform_dprocdef_id, ctd_parsed_data_product_year1, {'output':instrument_site_output_dp_id})
# self.dataprocessclient.activate_data_process(ctd_parsed_logical_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")
# -------------------------------
# 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")
# -------------------------------
# Launch InstrumentAgentInstance Sim1, connect to the resource agent client
# -------------------------------
self.imsclient.start_instrument_agent_instance(instrument_agent_instance_id=oldInstAgentInstance_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)
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="initialize")
retval = self._ia_client_sim1.execute_agent(cmd)
print retval
log.debug("test_deployAsPrimaryDevice:: _ia_client_sim1 initialize %s", str(retval))
time.sleep(2)
cmd = AgentCommand(command="go_active")
reply = self._ia_client_sim1.execute_agent(cmd)
log.debug("test_deployAsPrimaryDevice:: _ia_client_sim1 go_active %s", str(reply))
time.sleep(2)
cmd = AgentCommand(command="run")
reply = self._ia_client_sim1.execute_agent(cmd)
log.debug("test_deployAsPrimaryDevice:: _ia_client_sim1 run %s", str(reply))
time.sleep(2)
log.debug("test_activateInstrument: calling go_streaming ")
cmd = AgentCommand(command="go_streaming")
reply = self._ia_client_sim1.execute(cmd)
log.debug("test_deployAsPrimaryDevice:: _ia_client_sim1 go_streaming %s", str(reply))
# -------------------------------
# Streaming Sim 2 (new instrument)
# -------------------------------
cmd = AgentCommand(command="initialize")
retval = self._ia_client_sim2.execute_agent(cmd)
print retval
log.debug("test_deployAsPrimaryDevice:: _ia_client_sim2 initialize %s", str(retval))
time.sleep(2)
cmd = AgentCommand(command="go_active")
reply = self._ia_client_sim2.execute_agent(cmd)
log.debug("test_deployAsPrimaryDevice:: _ia_client_sim2 go_active %s", str(reply))
time.sleep(2)
cmd = AgentCommand(command="run")
reply = self._ia_client_sim2.execute_agent(cmd)
log.debug("test_deployAsPrimaryDevice:: _ia_client_sim2 run %s", str(reply))
time.sleep(2)
log.debug("test_activateInstrument: calling go_streaming ")
cmd = AgentCommand(command="go_streaming")
reply = self._ia_client_sim2.execute(cmd)
log.debug("test_deployAsPrimaryDevice:: _ia_client_sim2 go_streaming %s", str(reply))
time.sleep(20)
# -------------------------------
# Shutdown Sim1 (old instrument)
# -------------------------------
log.debug("test_activateInstrument: calling go_observatory")
cmd = AgentCommand(command="go_observatory")
reply = self._ia_client_sim1.execute(cmd)
log.debug("test_activateInstrument: _ia_client_sim1 return from go_observatory %s", str(reply))
time.sleep(5)
log.debug("test_deployAsPrimaryDevice:: calling go_inactive ")
cmd = AgentCommand(command="go_inactive")
reply = self._ia_client_sim1.execute_agent(cmd)
log.debug("test_deployAsPrimaryDevice:: _ia_client_sim1 return from go_inactive %s", str(reply))
time.sleep(2)
log.debug("test_deployAsPrimaryDevice:: calling reset ")
cmd = AgentCommand(command="reset")
reply = self._ia_client_sim1.execute_agent(cmd)
log.debug("test_deployAsPrimaryDevice:: _ia_client_sim1 return from reset %s", str(reply))
time.sleep(2)
# -------------------------------
# Shutdown Sim2 (old instrument)
# -------------------------------
log.debug("test_activateInstrument: calling go_observatory")
cmd = AgentCommand(command="go_observatory")
reply = self._ia_client_sim2.execute(cmd)
log.debug("test_activateInstrument: _ia_client_sim2 return from go_observatory %s", str(reply))
time.sleep(8)
log.debug("test_deployAsPrimaryDevice:: calling go_inactive ")
cmd = AgentCommand(command="go_inactive")
reply = self._ia_client_sim2.execute_agent(cmd)
log.debug("test_deployAsPrimaryDevice:: _ia_client_sim2 return from go_inactive %s", str(reply))
time.sleep(2)
log.debug("test_deployAsPrimaryDevice:: calling reset ")
cmd = AgentCommand(command="reset")
reply = self._ia_client_sim1.execute_agent(cmd)
log.debug("test_deployAsPrimaryDevice:: _ia_client_sim1 return from reset %s", str(reply))
time.sleep(2)
log.debug("test_deployAsPrimaryDevice:: calling reset ")
cmd = AgentCommand(command="reset")
reply = self._ia_client_sim2.execute_agent(cmd)
log.debug("test_deployAsPrimaryDevice:: _ia_client_sim2 return from reset %s", str(reply))
time.sleep(2)
self.imsclient.stop_instrument_agent_instance(instrument_agent_instance_id=oldInstAgentInstance_id)
self.imsclient.stop_instrument_agent_instance(instrument_agent_instance_id=newInstAgentInstance_id)
def test_replay_integration(self):
'''
test_replay_integration
'''
import numpy as np
# Keep the import it's used in the vector comparison below even though pycharm says its unused.
cc = self.container
XP = self.XP
assertions = self.assertTrue
### Every thing below here can be run as a script:
log.debug('Got it')
pubsub_management_service = PubsubManagementServiceClient(node=cc.node)
ingestion_management_service = IngestionManagementServiceClient(
node=cc.node)
dataset_management_service = DatasetManagementServiceClient(
node=cc.node)
data_retriever_service = DataRetrieverServiceClient(node=cc.node)
datastore_name = 'dm_test_replay_integration'
producer = Publisher(name=(XP, 'stream producer'))
ingestion_configuration_id = ingestion_management_service.create_ingestion_configuration(
exchange_point_id=XP,
couch_storage=CouchStorage(datastore_name=datastore_name,
datastore_profile='SCIDATA'),
hdf_storage=HdfStorage(),
number_of_workers=1)
ingestion_management_service.activate_ingestion_configuration(
ingestion_configuration_id=ingestion_configuration_id)
definition = SBE37_CDM_stream_definition()
data_stream_id = definition.data_stream_id
encoding_id = definition.identifiables[data_stream_id].encoding_id
element_count_id = definition.identifiables[
data_stream_id].element_count_id
stream_def_id = pubsub_management_service.create_stream_definition(
container=definition)
stream_id = pubsub_management_service.create_stream(
stream_definition_id=stream_def_id)
dataset_id = dataset_management_service.create_dataset(
stream_id=stream_id,
datastore_name=datastore_name,
view_name='datasets/dataset_by_id')
ingestion_management_service.create_dataset_configuration(
dataset_id=dataset_id,
archive_data=True,
archive_metadata=True,
ingestion_configuration_id=ingestion_configuration_id)
definition.stream_resource_id = stream_id
packet = _create_packet(definition)
input_file = FileSystem.mktemp()
input_file.write(packet.identifiables[data_stream_id].values)
input_file_path = input_file.name
input_file.close()
fields = [
'conductivity', 'height', 'latitude', 'longitude', 'pressure',
'temperature', 'time'
]
input_vectors = acquire_data([input_file_path], fields, 2).next()
producer.publish(msg=packet, to_name=(XP, '%s.data' % stream_id))
replay_id, replay_stream_id = data_retriever_service.define_replay(
dataset_id)
ar = gevent.event.AsyncResult()
def sub_listen(msg, headers):
assertions(isinstance(msg, StreamGranuleContainer),
'replayed message is not a granule.')
hdf_string = msg.identifiables[data_stream_id].values
sha1 = hashlib.sha1(hdf_string).hexdigest().upper()
assertions(sha1 == msg.identifiables[encoding_id].sha1,
'Checksum failed.')
assertions(
msg.identifiables[element_count_id].value == 1,
'record replay count is incorrect %d.' %
msg.identifiables[element_count_id].value)
output_file = FileSystem.mktemp()
output_file.write(msg.identifiables[data_stream_id].values)
output_file_path = output_file.name
output_file.close()
output_vectors = acquire_data([output_file_path], fields, 2).next()
for field in fields:
comparison = (input_vectors[field]['values'] ==
output_vectors[field]['values'])
assertions(
comparison.all(), 'vector mismatch: %s vs %s' %
(input_vectors[field]['values'],
output_vectors[field]['values']))
FileSystem.unlink(output_file_path)
ar.set(True)
subscriber = Subscriber(name=(XP, 'replay listener'),
callback=sub_listen)
g = gevent.Greenlet(subscriber.listen,
binding='%s.data' % replay_stream_id)
g.start()
data_retriever_service.start_replay(replay_id)
ar.get(timeout=10)
FileSystem.unlink(input_file_path)
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)
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()
# Set up the preconditions
# Set up the preconditions
# ingestion configuration parameters
exchange_point_id = 'science_data'
exchange_name = 'ingestion_queue'
#-------------------------------
# Create ingestion configuration and activate it
#-------------------------------
q = IngestionQueue()
ingestion_configuration_id = self.ingestclient.create_ingestion_configuration(
name=exchange_name,
exchange_point_id=exchange_point_id,
queues=[q])
print 'test_deployAsPrimaryDevice: ingestion_configuration_id', ingestion_configuration_id
# activate an ingestion configuration
# = self.ingestclient.activate_ingestion_configuration(ingestion_configuration_id)
#-------------------------------
# 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)
print 'test_deployAsPrimaryDevice: 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_deployAsPrimaryDevice: new InstrumentAgent id = ', 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
#-------------------------------
# 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("test_deployAsPrimaryDevice: create output parsed data product for Logical Instrument")
craft = CoverageCraft
sdom, tdom = craft.create_domains()
sdom = sdom.dump()
tdom = tdom.dump()
parameter_dictionary = craft.create_parameters()
parameter_dictionary = parameter_dictionary.dump()
ctd_logical_output_dp_obj = IonObject(RT.DataProduct,
name='ctd_parsed_logical',
description='ctd parsed from the logical instrument',
temporal_domain = tdom,
spatial_domain = sdom)
instrument_site_output_dp_id = self.dataproductclient.create_data_product(ctd_logical_output_dp_obj,
ctd_stream_def_id,
parameter_dictionary)
self.dataproductclient.activate_data_product_persistence(data_product_id=instrument_site_output_dp_id)
self.omsclient.create_site_data_product(instrumentSite_id, instrument_site_output_dp_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 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,
#-------------------------------
instAgentInstance_obj = IonObject(RT.InstrumentAgentInstance,
name='SBE37IMAgentInstanceYear1',
description="SBE37IMAgentInstance Year 1",
svr_addr="localhost",
driver_module="mi.instrument.seabird.sbe37smb.ooicore.driver",
driver_class="SBE37Driver",
cmd_port=5556,
evt_port=5557,
comms_method="ethernet",
comms_device_address="localhost",
comms_device_port=4001,
comms_server_address="localhost",
comms_server_port=8888)
oldInstAgentInstance_id = self.imsclient.create_instrument_agent_instance(instAgentInstance_obj,
instAgent_id,
oldInstDevice_id)
#-------------------------------
# Create CTD Parsed as the Year 1 data product and attach to instrument
#-------------------------------
print 'test_deployAsPrimaryDevice: new Stream Definition id = ', ctd_stream_def_id
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(dp_obj, ctd_stream_def_id, parameter_dictionary)
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
#-------------------------------
instAgentInstance_new__obj = IonObject(RT.InstrumentAgentInstance,
name='SBE37IMAgentInstanceYear2',
description="SBE37IMAgentInstance Year 2",
svr_addr="localhost",
driver_module="mi.instrument.seabird.sbe37smb.ooicore.driver",
driver_class="SBE37Driver",
cmd_port=5556, evt_port=5557,
comms_method="ethernet",
comms_device_address="localhost",
comms_device_port=4002,
comms_server_address="localhost",
comms_server_port=8888)
newInstAgentInstance_id = self.imsclient.create_instrument_agent_instance(instAgentInstance_new__obj,
instAgent_id,
newInstDevice_id)
#-------------------------------
# Create CTD Parsed as the Year 2 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_deployAsPrimaryDevice: new Stream Definition id = ', ctd_stream_def_id
print 'Creating new CDM data product with a stream definition'
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(dp_obj, ctd_stream_def_id, parameter_dictionary)
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',
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.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_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( 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_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( 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_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( 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)
#-------------------------------
# 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)
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)
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='initialize')
retval = self._ia_client_sim1.execute_agent(cmd)
print retval
log.debug("test_deployAsPrimaryDevice:: _ia_client_sim1 initialize %s", str(retval))
time.sleep(2)
cmd = AgentCommand(command='go_active')
reply = self._ia_client_sim1.execute_agent(cmd)
log.debug("test_deployAsPrimaryDevice:: _ia_client_sim1 go_active %s", str(reply))
time.sleep(2)
cmd = AgentCommand(command='run')
reply = self._ia_client_sim1.execute_agent(cmd)
log.debug("test_deployAsPrimaryDevice:: _ia_client_sim1 run %s", str(reply))
time.sleep(2)
log.debug("test_activateInstrument: calling go_streaming ")
cmd = AgentCommand(command='go_streaming')
reply = self._ia_client_sim1.execute(cmd)
log.debug("test_deployAsPrimaryDevice:: _ia_client_sim1 go_streaming %s", str(reply))
#-------------------------------
# Streaming Sim 2 (new instrument)
#-------------------------------
cmd = AgentCommand(command='initialize')
retval = self._ia_client_sim2.execute_agent(cmd)
print retval
log.debug("test_deployAsPrimaryDevice:: _ia_client_sim2 initialize %s", str(retval))
time.sleep(2)
cmd = AgentCommand(command='go_active')
reply = self._ia_client_sim2.execute_agent(cmd)
log.debug("test_deployAsPrimaryDevice:: _ia_client_sim2 go_active %s", str(reply))
time.sleep(2)
cmd = AgentCommand(command='run')
reply = self._ia_client_sim2.execute_agent(cmd)
log.debug("test_deployAsPrimaryDevice:: _ia_client_sim2 run %s", str(reply))
time.sleep(2)
log.debug("test_activateInstrument: calling go_streaming ")
cmd = AgentCommand(command='go_streaming')
reply = self._ia_client_sim2.execute(cmd)
log.debug("test_deployAsPrimaryDevice:: _ia_client_sim2 go_streaming %s", str(reply))
time.sleep(20)
#-------------------------------
# Shutdown Sim1 (old instrument)
#-------------------------------
log.debug("test_activateInstrument: calling go_observatory")
cmd = AgentCommand(command='go_observatory')
reply = self._ia_client_sim1.execute(cmd)
log.debug("test_activateInstrument: _ia_client_sim1 return from go_observatory %s", str(reply))
time.sleep(5)
log.debug("test_deployAsPrimaryDevice:: calling go_inactive ")
cmd = AgentCommand(command='go_inactive')
reply = self._ia_client_sim1.execute_agent(cmd)
log.debug("test_deployAsPrimaryDevice:: _ia_client_sim1 return from go_inactive %s", str(reply))
time.sleep(2)
log.debug("test_deployAsPrimaryDevice:: calling reset ")
cmd = AgentCommand(command='reset')
reply = self._ia_client_sim1.execute_agent(cmd)
log.debug("test_deployAsPrimaryDevice:: _ia_client_sim1 return from reset %s", str(reply))
time.sleep(2)
#-------------------------------
# Shutdown Sim2 (old instrument)
#-------------------------------
log.debug("test_activateInstrument: calling go_observatory")
cmd = AgentCommand(command='go_observatory')
reply = self._ia_client_sim2.execute(cmd)
log.debug("test_activateInstrument: _ia_client_sim2 return from go_observatory %s", str(reply))
time.sleep(8)
log.debug("test_deployAsPrimaryDevice:: calling go_inactive ")
cmd = AgentCommand(command='go_inactive')
reply = self._ia_client_sim2.execute_agent(cmd)
log.debug("test_deployAsPrimaryDevice:: _ia_client_sim2 return from go_inactive %s", str(reply))
time.sleep(2)
log.debug("test_deployAsPrimaryDevice:: calling reset ")
cmd = AgentCommand(command='reset')
reply = self._ia_client_sim1.execute_agent(cmd)
log.debug("test_deployAsPrimaryDevice:: _ia_client_sim1 return from reset %s", str(reply))
time.sleep(2)
log.debug("test_deployAsPrimaryDevice:: calling reset ")
cmd = AgentCommand(command='reset')
reply = self._ia_client_sim2.execute_agent(cmd)
log.debug("test_deployAsPrimaryDevice:: _ia_client_sim2 return from reset %s", str(reply))
time.sleep(2)
self.imsclient.stop_instrument_agent_instance(instrument_agent_instance_id=oldInstAgentInstance_id)
self.imsclient.stop_instrument_agent_instance(instrument_agent_instance_id=newInstAgentInstance_id)
def test_usgs_integration(self):
'''
test_usgs_integration
Test full DM Services Integration using usgs
'''
cc = self.container
assertions = self.assertTrue
#-----------------------------
# Copy below here
#-----------------------------
pubsub_management_service = PubsubManagementServiceClient(node=cc.node)
ingestion_management_service = IngestionManagementServiceClient(node=cc.node)
dataset_management_service = DatasetManagementServiceClient(node=cc.node)
data_retriever_service = DataRetrieverServiceClient(node=cc.node)
transform_management_service = TransformManagementServiceClient(node=cc.node)
process_dispatcher = ProcessDispatcherServiceClient(node=cc.node)
process_list = []
datasets = []
datastore_name = 'test_usgs_integration'
#---------------------------
# Set up ingestion
#---------------------------
# Configure ingestion using eight workers, ingesting to test_dm_integration datastore with the SCIDATA profile
log.debug('Calling create_ingestion_configuration')
ingestion_configuration_id = ingestion_management_service.create_ingestion_configuration(
exchange_point_id='science_data',
couch_storage=CouchStorage(datastore_name=datastore_name,datastore_profile='SCIDATA'),
number_of_workers=8
)
#
ingestion_management_service.activate_ingestion_configuration(
ingestion_configuration_id=ingestion_configuration_id)
usgs_stream_def = USGS_stream_definition()
stream_def_id = pubsub_management_service.create_stream_definition(container=usgs_stream_def, name='Junk definition')
#---------------------------
# Set up the producers (CTD Simulators)
#---------------------------
# Launch five simulated CTD producers
for iteration in xrange(2):
# Make a stream to output on
stream_id = pubsub_management_service.create_stream(stream_definition_id=stream_def_id)
#---------------------------
# Set up the datasets
#---------------------------
dataset_id = dataset_management_service.create_dataset(
stream_id=stream_id,
datastore_name=datastore_name,
view_name='datasets/stream_join_granule'
)
# Keep track of the datasets
datasets.append(dataset_id)
stream_policy_id = ingestion_management_service.create_dataset_configuration(
dataset_id = dataset_id,
archive_data = True,
archive_metadata = True,
ingestion_configuration_id = ingestion_configuration_id
)
producer_definition = ProcessDefinition()
producer_definition.executable = {
'module':'eoi.agent.handler.usgs_stream_publisher',
'class':'UsgsPublisher'
}
configuration = {
'process':{
'stream_id':stream_id,
}
}
procdef_id = process_dispatcher.create_process_definition(process_definition=producer_definition)
log.debug('LUKE_DEBUG: procdef_id: %s', procdef_id)
pid = process_dispatcher.schedule_process(process_definition_id=procdef_id, configuration=configuration)
# Keep track, we'll kill 'em later.
process_list.append(pid)
# Get about 4 seconds of data
time.sleep(4)
#---------------------------
# Stop producing data
#---------------------------
for process in process_list:
process_dispatcher.cancel_process(process)
#----------------------------------------------
# The replay and the transform, a love story.
#----------------------------------------------
# Happy Valentines to the clever coder who catches the above!
transform_definition = ProcessDefinition()
transform_definition.executable = {
'module':'ion.processes.data.transforms.transform_example',
'class':'TransformCapture'
}
transform_definition_id = process_dispatcher.create_process_definition(process_definition=transform_definition)
dataset_id = datasets.pop() # Just need one for now
replay_id, stream_id = data_retriever_service.define_replay(dataset_id=dataset_id)
#--------------------------------------------
# I'm Selling magazine subscriptions here!
#--------------------------------------------
subscription = pubsub_management_service.create_subscription(query=StreamQuery(stream_ids=[stream_id]),
exchange_name='transform_capture_point')
#--------------------------------------------
# Start the transform (capture)
#--------------------------------------------
transform_id = transform_management_service.create_transform(
name='capture_transform',
in_subscription_id=subscription,
process_definition_id=transform_definition_id
)
transform_management_service.activate_transform(transform_id=transform_id)
#--------------------------------------------
# BEGIN REPLAY!
#--------------------------------------------
data_retriever_service.start_replay(replay_id=replay_id)
#--------------------------------------------
# Lets get some boundaries
#--------------------------------------------
bounds = dataset_management_service.get_dataset_bounds(dataset_id=dataset_id)
class IngestionManagementIntTest(IonIntegrationTestCase):
def setUp(self):
self._start_container()
self.container.start_rel_from_url('res/deploy/r2deploy.yml')
self.ingestion_management = IngestionManagementServiceClient()
self.resource_registry = ResourceRegistryServiceClient()
self.pubsub_management = PubsubManagementServiceClient()
self.ingest_name = 'basic'
self.exchange = 'testdata'
@staticmethod
def clean_subscriptions():
ingestion_management = IngestionManagementServiceClient()
pubsub = PubsubManagementServiceClient()
rr = ResourceRegistryServiceClient()
ingestion_config_ids = ingestion_management.list_ingestion_configurations(
id_only=True)
for ic in ingestion_config_ids:
subscription_ids, assocs = rr.find_objects(
subject=ic, predicate=PRED.hasSubscription, id_only=True)
for subscription_id, assoc in zip(subscription_ids, assocs):
rr.delete_association(assoc)
try:
pubsub.deactivate_subscription(subscription_id)
except:
log.exception("Unable to decativate subscription: %s",
subscription_id)
pubsub.delete_subscription(subscription_id)
def create_ingest_config(self):
self.queue = IngestionQueue(name='test', type='testdata')
# Create the ingestion config
ingestion_config_id = self.ingestion_management.create_ingestion_configuration(
name=self.ingest_name,
exchange_point_id=self.exchange,
queues=[self.queue])
return ingestion_config_id
def test_ingestion_config_crud(self):
ingestion_config_id = self.create_ingest_config()
ingestion_config = self.ingestion_management.read_ingestion_configuration(
ingestion_config_id)
self.assertTrue(ingestion_config.name == self.ingest_name)
self.assertTrue(ingestion_config.queues[0].name == 'test')
self.assertTrue(ingestion_config.queues[0].type == 'testdata')
ingestion_config.name = 'another'
self.ingestion_management.update_ingestion_configuration(
ingestion_config)
# Create an association just to make sure that it will delete them
sub = Subscription()
sub_id, _ = self.resource_registry.create(sub)
assoc_id, _ = self.resource_registry.create_association(
subject=ingestion_config_id,
predicate=PRED.hasSubscription,
object=sub_id)
self.ingestion_management.delete_ingestion_configuration(
ingestion_config_id)
with self.assertRaises(NotFound):
self.resource_registry.read(assoc_id)
def test_list_ingestion(self):
# Create the ingest_config
config_id = self.create_ingest_config()
retval = self.ingestion_management.list_ingestion_configurations(
id_only=True)
# Nice thing about this is that it breaks if r2dm adds an ingest_config
self.assertTrue(config_id in retval)
def test_dm_integration(self):
'''
test_salinity_transform
Test full DM Services Integration
'''
cc = self.container
assertions = self.assertTrue
#-----------------------------
# Copy below here to run as a script (don't forget the imports of course!)
#-----------------------------
# Create some service clients...
pubsub_management_service = PubsubManagementServiceClient(node=cc.node)
ingestion_management_service = IngestionManagementServiceClient(
node=cc.node)
dataset_management_service = DatasetManagementServiceClient(
node=cc.node)
data_retriever_service = DataRetrieverServiceClient(node=cc.node)
transform_management_service = TransformManagementServiceClient(
node=cc.node)
process_dispatcher = ProcessDispatcherServiceClient(node=cc.node)
# declare some handy variables
datastore_name = 'test_dm_integration'
###
### In the beginning there were two stream definitions...
###
# create a stream definition for the data from the ctd simulator
ctd_stream_def = SBE37_CDM_stream_definition()
ctd_stream_def_id = pubsub_management_service.create_stream_definition(
container=ctd_stream_def, name='Simulated CTD data')
# create a stream definition for the data from the salinity Transform
sal_stream_def_id = pubsub_management_service.create_stream_definition(
container=SalinityTransform.outgoing_stream_def,
name='Scalar Salinity data stream')
###
### And two process definitions...
###
# one for the ctd simulator...
producer_definition = ProcessDefinition()
producer_definition.executable = {
'module': 'ion.processes.data.ctd_stream_publisher',
'class': 'SimpleCtdPublisher'
}
ctd_sim_procdef_id = process_dispatcher.create_process_definition(
process_definition=producer_definition)
# one for the salinity transform
producer_definition = ProcessDefinition()
producer_definition.executable = {
'module': 'ion.processes.data.transforms.ctd.ctd_L2_salinity',
'class': 'SalinityTransform'
}
salinity_transform_procdef_id = process_dispatcher.create_process_definition(
process_definition=producer_definition)
#---------------------------
# Set up ingestion - this is an operator concern - not done by SA in a deployed system
#---------------------------
# Configure ingestion using eight workers, ingesting to test_dm_integration datastore with the SCIDATA profile
log.debug('Calling create_ingestion_configuration')
ingestion_configuration_id = ingestion_management_service.create_ingestion_configuration(
exchange_point_id='science_data',
couch_storage=CouchStorage(datastore_name=datastore_name,
datastore_profile='SCIDATA'),
number_of_workers=1)
#
ingestion_management_service.activate_ingestion_configuration(
ingestion_configuration_id=ingestion_configuration_id)
#---------------------------
# Set up the producer (CTD Simulator)
#---------------------------
# Create the stream
ctd_stream_id = pubsub_management_service.create_stream(
stream_definition_id=ctd_stream_def_id)
# Set up the datasets
ctd_dataset_id = dataset_management_service.create_dataset(
stream_id=ctd_stream_id,
datastore_name=datastore_name,
view_name='datasets/stream_join_granule')
# Configure ingestion of this dataset
ctd_dataset_config_id = ingestion_management_service.create_dataset_configuration(
dataset_id=ctd_dataset_id,
archive_data=True,
archive_metadata=True,
ingestion_configuration_id=
ingestion_configuration_id, # you need to know the ingestion configuration id!
)
# Hold onto ctd_dataset_config_id if you want to stop/start ingestion of that dataset by the ingestion service
#---------------------------
# Set up the salinity transform
#---------------------------
# Create the stream
sal_stream_id = pubsub_management_service.create_stream(
stream_definition_id=sal_stream_def_id)
# Set up the datasets
sal_dataset_id = dataset_management_service.create_dataset(
stream_id=sal_stream_id,
datastore_name=datastore_name,
view_name='datasets/stream_join_granule')
# Configure ingestion of the salinity as a dataset
sal_dataset_config_id = ingestion_management_service.create_dataset_configuration(
dataset_id=sal_dataset_id,
archive_data=True,
archive_metadata=True,
ingestion_configuration_id=
ingestion_configuration_id, # you need to know the ingestion configuration id!
)
# Hold onto sal_dataset_config_id if you want to stop/start ingestion of that dataset by the ingestion service
# Create a subscription as input to the transform
sal_transform_input_subscription_id = pubsub_management_service.create_subscription(
query=StreamQuery(stream_ids=[
ctd_stream_id,
]),
exchange_name='salinity_transform_input'
) # how do we make these names??? i.e. Should they be anonymous?
# create the salinity transform
sal_transform_id = transform_management_service.create_transform(
name='example salinity transform',
in_subscription_id=sal_transform_input_subscription_id,
out_streams={
'output': sal_stream_id,
},
process_definition_id=salinity_transform_procdef_id,
# no configuration needed at this time...
)
# start the transform - for a test case it makes sense to do it before starting the producer but it is not required
transform_management_service.activate_transform(
transform_id=sal_transform_id)
# Start the ctd simulator to produce some data
configuration = {
'process': {
'stream_id': ctd_stream_id,
}
}
ctd_sim_pid = process_dispatcher.schedule_process(
process_definition_id=ctd_sim_procdef_id,
configuration=configuration)
###
### Make a subscriber in the test to listen for salinity data
###
salinity_subscription_id = pubsub_management_service.create_subscription(
query=StreamQuery([
sal_stream_id,
]),
exchange_name='salinity_test',
name="test salinity subscription",
)
pid = cc.spawn_process(name='dummy_process_for_test',
module='pyon.ion.process',
cls='SimpleProcess',
config={})
dummy_process = cc.proc_manager.procs[pid]
subscriber_registrar = StreamSubscriberRegistrar(process=dummy_process,
node=cc.node)
result = gevent.event.AsyncResult()
results = []
def message_received(message, headers):
# Heads
log.warn('Salinity data received!')
results.append(message)
if len(results) > 3:
result.set(True)
subscriber = subscriber_registrar.create_subscriber(
exchange_name='salinity_test', callback=message_received)
subscriber.start()
# after the queue has been created it is safe to activate the subscription
pubsub_management_service.activate_subscription(
subscription_id=salinity_subscription_id)
# Assert that we have received data
assertions(result.get(timeout=10))
# stop the flow parse the messages...
process_dispatcher.cancel_process(
ctd_sim_pid
) # kill the ctd simulator process - that is enough data
for message in results:
psd = PointSupplementStreamParser(
stream_definition=SalinityTransform.outgoing_stream_def,
stream_granule=message)
# Test the handy info method for the names of fields in the stream def
assertions('salinity' in psd.list_field_names())
# you have to know the name of the coverage in stream def
salinity = psd.get_values('salinity')
import numpy
assertions(isinstance(salinity, numpy.ndarray))
assertions(numpy.nanmin(salinity) >
0.0) # salinity should always be greater than 0
def test_usgs_integration(self):
'''
test_usgs_integration
Test full DM Services Integration using usgs
'''
cc = self.container
assertions = self.assertTrue
#-----------------------------
# Copy below here
#-----------------------------
pubsub_management_service = PubsubManagementServiceClient(node=cc.node)
ingestion_management_service = IngestionManagementServiceClient(node=cc.node)
dataset_management_service = DatasetManagementServiceClient(node=cc.node)
data_retriever_service = DataRetrieverServiceClient(node=cc.node)
transform_management_service = TransformManagementServiceClient(node=cc.node)
process_dispatcher = ProcessDispatcherServiceClient(node=cc.node)
process_list = []
datasets = []
datastore_name = 'test_usgs_integration'
#---------------------------
# Set up ingestion
#---------------------------
# Configure ingestion using eight workers, ingesting to test_dm_integration datastore with the SCIDATA profile
log.debug('Calling create_ingestion_configuration')
ingestion_configuration_id = ingestion_management_service.create_ingestion_configuration(
exchange_point_id='science_data',
couch_storage=CouchStorage(datastore_name=datastore_name,datastore_profile='SCIDATA'),
number_of_workers=8
)
#
ingestion_management_service.activate_ingestion_configuration(
ingestion_configuration_id=ingestion_configuration_id)
usgs_stream_def = USGS_stream_definition()
stream_def_id = pubsub_management_service.create_stream_definition(container=usgs_stream_def, name='Junk definition')
#---------------------------
# Set up the producers (CTD Simulators)
#---------------------------
# Launch five simulated CTD producers
for iteration in xrange(2):
# Make a stream to output on
stream_id = pubsub_management_service.create_stream(stream_definition_id=stream_def_id)
#---------------------------
# Set up the datasets
#---------------------------
dataset_id = dataset_management_service.create_dataset(
stream_id=stream_id,
datastore_name=datastore_name,
view_name='datasets/stream_join_granule'
)
# Keep track of the datasets
datasets.append(dataset_id)
stream_policy_id = ingestion_management_service.create_dataset_configuration(
dataset_id = dataset_id,
archive_data = True,
archive_metadata = True,
ingestion_configuration_id = ingestion_configuration_id
)
producer_definition = ProcessDefinition()
producer_definition.executable = {
'module':'ion.agents.eoi.handler.usgs_stream_publisher',
'class':'UsgsPublisher'
}
configuration = {
'process':{
'stream_id':stream_id,
}
}
procdef_id = process_dispatcher.create_process_definition(process_definition=producer_definition)
log.debug('LUKE_DEBUG: procdef_id: %s', procdef_id)
pid = process_dispatcher.schedule_process(process_definition_id=procdef_id, configuration=configuration)
# Keep track, we'll kill 'em later.
process_list.append(pid)
# Get about 4 seconds of data
time.sleep(4)
#---------------------------
# Stop producing data
#---------------------------
for process in process_list:
process_dispatcher.cancel_process(process)
#----------------------------------------------
# The replay and the transform, a love story.
#----------------------------------------------
# Happy Valentines to the clever coder who catches the above!
transform_definition = ProcessDefinition()
transform_definition.executable = {
'module':'ion.processes.data.transforms.transform_example',
'class':'TransformCapture'
}
transform_definition_id = process_dispatcher.create_process_definition(process_definition=transform_definition)
dataset_id = datasets.pop() # Just need one for now
replay_id, stream_id = data_retriever_service.define_replay(dataset_id=dataset_id)
#--------------------------------------------
# I'm Selling magazine subscriptions here!
#--------------------------------------------
subscription = pubsub_management_service.create_subscription(query=StreamQuery(stream_ids=[stream_id]),
exchange_name='transform_capture_point')
#--------------------------------------------
# Start the transform (capture)
#--------------------------------------------
transform_id = transform_management_service.create_transform(
name='capture_transform',
in_subscription_id=subscription,
process_definition_id=transform_definition_id
)
transform_management_service.activate_transform(transform_id=transform_id)
#--------------------------------------------
# BEGIN REPLAY!
#--------------------------------------------
data_retriever_service.start_replay(replay_id=replay_id)
#--------------------------------------------
# Lets get some boundaries
#--------------------------------------------
bounds = dataset_management_service.get_dataset_bounds(dataset_id=dataset_id)
def test_raw_stream_integration(self):
cc = self.container
assertions = self.assertTrue
# -----------------------------
# Copy below here to run as a script (don't forget the imports of course!)
# -----------------------------
# Create some service clients...
pubsub_management_service = PubsubManagementServiceClient(node=cc.node)
ingestion_management_service = IngestionManagementServiceClient(node=cc.node)
dataset_management_service = DatasetManagementServiceClient(node=cc.node)
process_dispatcher = ProcessDispatcherServiceClient(node=cc.node)
# declare some handy variables
datastore_name = "test_dm_integration"
datastore = cc.datastore_manager.get_datastore(datastore_name, profile=DataStore.DS_PROFILE.SCIDATA)
###
### And two process definitions...
###
# one for the ctd simulator...
producer_definition = ProcessDefinition(name="Example Data Producer")
producer_definition.executable = {
"module": "ion.processes.data.example_data_producer",
"class": "ExampleDataProducer",
}
producer_procdef_id = process_dispatcher.create_process_definition(process_definition=producer_definition)
# ---------------------------
# Set up ingestion - this is an operator concern - not done by SA in a deployed system
# ---------------------------
# Configure ingestion using eight workers, ingesting to test_dm_integration datastore with the SCIDATA profile
log.debug("Calling create_ingestion_configuration")
ingestion_configuration_id = ingestion_management_service.create_ingestion_configuration(
exchange_point_id="science_data",
couch_storage=CouchStorage(datastore_name=datastore_name, datastore_profile="SCIDATA"),
number_of_workers=1,
)
#
ingestion_management_service.activate_ingestion_configuration(
ingestion_configuration_id=ingestion_configuration_id
)
# ---------------------------
# Set up the producer (CTD Simulator)
# ---------------------------
# Create the stream
stream_id = pubsub_management_service.create_stream(name="A data stream")
# Set up the datasets
dataset_id = dataset_management_service.create_dataset(
stream_id=stream_id, datastore_name=datastore_name, view_name="Undefined!"
)
# Configure ingestion of this dataset
dataset_ingest_config_id = ingestion_management_service.create_dataset_configuration(
dataset_id=dataset_id,
archive_data=True,
archive_metadata=True,
ingestion_configuration_id=ingestion_configuration_id, # you need to know the ingestion configuration id!
)
# Hold onto dataset_ingest_config_id if you want to stop/start ingestion of that dataset by the ingestion service
# Start the ctd simulator to produce some data
configuration = {"process": {"stream_id": stream_id}}
producer_pid = process_dispatcher.schedule_process(
process_definition_id=producer_procdef_id, configuration=configuration
)
found = False
processes = cc.proc_manager.procs.values()
for proc in processes:
if isinstance(proc, IngestionWorker):
found = True
break
self.assertTrue(found, "%s" % cc.proc_manager.procs)
done = False
while not done:
results = datastore.query_view("manifest/by_dataset")
if len(results) >= 5:
done = True
