def on_start(self):
super(IngestionManagementService,self).on_start()
self.event_publisher = DatasetIngestionConfigurationEventPublisher(node = self.container.node)
#########################################################################################################
# The code for process_definition may not really belong here, but we do not have a different way so
# far to preload the process definitions. This will later probably be part of a set of predefinitions
# for processes.
#########################################################################################################
process_definition = ProcessDefinition()
process_definition.executable['module']='ion.processes.data.ingestion.ingestion_worker'
process_definition.executable['class'] = 'IngestionWorker'
self.process_definition_id = self.clients.process_dispatcher.create_process_definition(process_definition=process_definition)
class IngestionManagementService(BaseIngestionManagementService):
"""
id_p = cc.spawn_process('ingestion_worker', 'ion.services.dm.ingestion.ingestion_management_service', 'IngestionManagementService')
cc.proc_manager.procs['%s.%s' %(cc.id,id_p)].start()
"""
base_exchange_name = 'ingestion_queue'
def __init__(self):
BaseIngestionManagementService.__init__(self)
xs_dot_xp = CFG.core_xps.science_data
try:
self.XS, xp_base = xs_dot_xp.split('.')
self.XP = '.'.join([bootstrap.get_sys_name(), xp_base])
except ValueError:
raise StandardError('Invalid CFG for core_xps.science_data: "%s"; must have "xs.xp" structure' % xs_dot_xp)
self.serializer = IonObjectSerializer()
def on_start(self):
super(IngestionManagementService,self).on_start()
self.event_publisher = DatasetIngestionConfigurationEventPublisher(node = self.container.node)
#########################################################################################################
# The code for process_definition may not really belong here, but we do not have a different way so
# far to preload the process definitions. This will later probably be part of a set of predefinitions
# for processes.
#########################################################################################################
process_definition = ProcessDefinition()
process_definition.executable['module']='ion.processes.data.ingestion.ingestion_worker'
process_definition.executable['class'] = 'IngestionWorker'
self.process_definition_id = self.clients.process_dispatcher.create_process_definition(process_definition=process_definition)
def on_quit(self):
#self.clients.process_dispatcher.delete_process_definition(process_definition_id=self.process_definition_id)
super(IngestionManagementService,self).on_quit()
def create_ingestion_configuration(self, exchange_point_id='', couch_storage=None, hdf_storage=None,number_of_workers=0):
"""
@brief Setup ingestion workers to ingest all the data from a single exchange point.
@param exchange_point_id is the resource id for the exchagne point to ingest from
@param couch_storage is the specification of the couch database to use
@param hdf_storage is the specification of the filesystem to use for hdf data files
@param number_of_workers is the number of ingestion workers to create
"""
# Give each ingestion configuration its own queue name to receive data on
exchange_name = 'ingestion_queue'
##------------------------------------------------------------------------------------
## declare our intent to subscribe to all messages on the exchange point
query = ExchangeQuery()
subscription_id = self.clients.pubsub_management.create_subscription(query=query,\
exchange_name=exchange_name, name='Ingestion subscription', description='Subscription for ingestion workers')
##------------------------------------------------------------------------------------------
# create an ingestion_configuration instance and update the registry
# @todo: right now sending in the exchange_point_id as the name...
ingestion_configuration = IngestionConfiguration( name = self.XP)
ingestion_configuration.description = '%s exchange point ingestion configuration' % self.XP
ingestion_configuration.number_of_workers = number_of_workers
if hdf_storage is not None:
ingestion_configuration.hdf_storage.update(hdf_storage)
if couch_storage is not None:
ingestion_configuration.couch_storage.update(couch_storage)
ingestion_configuration_id, _ = self.clients.resource_registry.create(ingestion_configuration)
self._launch_transforms(
ingestion_configuration.number_of_workers,
subscription_id,
ingestion_configuration_id,
ingestion_configuration,
self.process_definition_id
)
return ingestion_configuration_id
def _launch_transforms(self, number_of_workers, subscription_id, ingestion_configuration_id, ingestion_configuration, process_definition_id):
"""
This method spawns the two transform processes without activating them...Note: activating the transforms does the binding
"""
description = 'Ingestion worker'
configuration = self.serializer.serialize(ingestion_configuration)
configuration.pop('type_')
configuration['configuration_id'] = ingestion_configuration_id
# launch the transforms
for i in xrange(number_of_workers):
name = '(%s)_Ingestion_Worker_%s' % (ingestion_configuration_id, i+1)
transform_id = self.clients.transform_management.create_transform(
name = name,
description = description,
in_subscription_id= subscription_id,
out_streams = {},
process_definition_id=process_definition_id,
configuration=ingestion_configuration)
# create association between ingestion configuration and the transforms that act as Ingestion Workers
if not transform_id:
raise IngestionManagementServiceException('Transform could not be launched by ingestion.')
self.clients.resource_registry.create_association(ingestion_configuration_id, PRED.hasTransform, transform_id)
def update_ingestion_configuration(self, ingestion_configuration=None):
"""Change the number of workers or the default policy for ingesting data on each stream
@param ingestion_configuration IngestionConfiguration
"""
log.debug("Updating ingestion configuration")
id, rev = self.clients.resource_registry.update(ingestion_configuration)
def read_ingestion_configuration(self, ingestion_configuration_id=''):
"""Get an existing ingestion configuration object.
@param ingestion_configuration_id str
@retval ingestion_configuration IngestionConfiguration
@throws NotFound if ingestion configuration did not exist
"""
log.debug("Reading ingestion configuration object id: %s", ingestion_configuration_id)
ingestion_configuration = self.clients.resource_registry.read(ingestion_configuration_id)
if ingestion_configuration is None:
raise NotFound("Ingestion configuration %s does not exist" % ingestion_configuration_id)
return ingestion_configuration
def delete_ingestion_configuration(self, ingestion_configuration_id=''):
"""Delete an existing ingestion configuration object.
@param ingestion_configuration_id str
@throws NotFound if ingestion configuration did not exist
"""
log.debug("Deleting ingestion configuration: %s", ingestion_configuration_id)
#ingestion_configuration = self.read_ingestion_configuration(ingestion_configuration_id)
#@todo Should we check to see if the ingestion configuration exists?
#delete the transforms associated with the ingestion_configuration_id
transform_ids = self.clients.resource_registry.find_objects(ingestion_configuration_id, PRED.hasTransform, RT.Transform, True)
if len(transform_ids) < 1:
raise NotFound('No transforms associated with this ingestion configuration!')
log.debug('len(transform_ids): %s' % len(transform_ids))
for transform_id in transform_ids:
# To Delete - we need to actually remove each of the transforms
self.clients.transform_management.delete_transform(transform_id)
# delete the associations too...
associations = self.clients.resource_registry.find_associations(ingestion_configuration_id,PRED.hasTransform)
log.info('associations: %s' % associations)
for association in associations:
self.clients.resource_registry.delete_association(association)
#@todo How should we deal with failure?
self.clients.resource_registry.delete(ingestion_configuration_id)
def activate_ingestion_configuration(self, ingestion_configuration_id=''):
"""Activate an ingestion configuration and the transform processes that execute it
@param ingestion_configuration_id str
@throws NotFound The ingestion configuration id did not exist
"""
log.debug("Activating ingestion configuration")
# check whether the ingestion configuration object exists
#ingestion_configuration = self.read_ingestion_configuration(ingestion_configuration_id)
#@todo Should we check to see if the ingestion configuration exists?
# read the transforms
transform_ids, _ = self.clients.resource_registry.find_objects(ingestion_configuration_id, PRED.hasTransform, RT.Transform, True)
if len(transform_ids) < 1:
raise NotFound('The ingestion configuration %s does not exist' % str(ingestion_configuration_id))
# since all ingestion worker transforms have the same subscription, only deactivate one
self.clients.transform_management.activate_transform(transform_ids[0])
return True
def deactivate_ingestion_configuration(self, ingestion_configuration_id=''):
"""Deactivate one of the transform processes that uses an ingestion configuration
@param ingestion_configuration_id str
@throws NotFound The ingestion configuration id did not exist
"""
log.debug("Deactivating ingestion configuration")
# check whether the ingestion configuration object exists
#ingestion_configuration = self.read_ingestion_configuration(ingestion_configuration_id)
#@todo Should we check to see if the ingestion configuration exists?
# use the deactivate method in transformation management service
transform_ids, _ = self.clients.resource_registry.find_objects(ingestion_configuration_id, PRED.hasTransform, RT.Transform, True)
if len(transform_ids) < 1:
raise NotFound('The ingestion configuration %s does not exist' % str(ingestion_configuration_id))
# since all ingestion worker transforms have the same subscription, only deactivate one
self.clients.transform_management.deactivate_transform(transform_ids[0])
return True
def create_dataset_configuration(self, dataset_id='', archive_data=True, archive_metadata=True, ingestion_configuration_id=''):
"""Create a configuration for ingestion of a particular dataset and associate it to a ingestion configuration.
@param dataset_id str
@param archive_data bool
@param archive_metadata bool
@param ingestion_configuration_id str
@retval dataset_ingestion_configuration_id str
"""
if not dataset_id:
raise IngestionManagementServiceException('Must pass a dataset id to create_dataset_configuration')
log.debug("Creating dataset configuration")
dataset = self.clients.dataset_management.read_dataset(dataset_id=dataset_id)
stream_id =dataset.primary_view_key
# Read the stream to get the stream definition
#stream = self.clients.pubsub_management.read_stream(stream_id=stream_id)
# Get the associated stream definition!
stream_defs, _ = self.clients.resource_registry.find_objects(stream_id, PRED.hasStreamDefinition)
if len(stream_defs)!=1:
raise IngestionManagementServiceException('The stream is associated with more than one stream definition!')
stream_def_resource = stream_defs[0]
# Get the container object out of the stream def resource and set the stream id field in the local instance
stream_def_container = stream_def_resource.container
stream_def_container.stream_resource_id = stream_id
# Get the ingestion configuration
ingestion_configuration = self.clients.resource_registry.read(ingestion_configuration_id)
couch_storage = ingestion_configuration.couch_storage
log.info('Adding stream definition for stream "%s" to ingestion database "%s"' % (stream_id, couch_storage.datastore_name))
db = self.container.datastore_manager.get_datastore(couch_storage.datastore_name, self.CFG)
# put it in couch db!
db.create(stream_def_container)
db.close()
#@todo Add business logic to create the right kind of dataset ingestion configuration
config = DatasetIngestionByStream(
archive_data=archive_data,
archive_metadata=archive_metadata,
stream_id=stream_id)
dset_ingest_config = DatasetIngestionConfiguration(
name = 'Dataset config %s' % dataset_id,
description = 'configuration for dataset %s' % dataset_id,
configuration = config,
type = DatasetIngestionTypeEnum.DATASETINGESTIONBYSTREAM
)
dset_ingest_config_id , _ = self.clients.resource_registry.create(dset_ingest_config)
self.clients.resource_registry.create_association(dset_ingest_config_id, PRED.hasIngestionConfiguration, ingestion_configuration_id)
self.event_publisher.create_and_publish_event(
origin=ingestion_configuration_id, # Use the ingestion configuration ID as the origin!
description = dset_ingest_config.description,
configuration = config,
type = DatasetIngestionTypeEnum.DATASETINGESTIONBYSTREAM,
resource_id = dset_ingest_config_id
)
return dset_ingest_config_id
def update_dataset_config(self, dataset_ingestion_configuration=None):
"""Update the ingestion configuration for a dataset
@param dataset_ingestion_configuration DatasetIngestionConfiguration
"""
#@todo - make it an exception to change the dataset_id or the stream_id in the dataset config!
log.info('dataset configuration to update: %s' % dataset_ingestion_configuration)
log.debug("Updating dataset config")
dset_ingest_config_id, rev = self.clients.resource_registry.update(dataset_ingestion_configuration)
ingest_config_ids, _ = self.clients.resource_registry.find_objects(dset_ingest_config_id, PRED.hasIngestionConfiguration, id_only=True)
if len(ingest_config_ids)!=1:
raise IngestionManagementServiceException('The dataset ingestion configuration is associated with more than one ingestion configuration!')
ingest_config_id = ingest_config_ids[0]
#@todo - what is it okay to update?
self.event_publisher.create_and_publish_event(
origin=ingest_config_id,
description = dataset_ingestion_configuration.description,
configuration = dataset_ingestion_configuration.configuration,
type = DatasetIngestionTypeEnum.DATASETINGESTIONBYSTREAM,
resource_id = dset_ingest_config_id
)
def read_dataset_config(self, dataset_ingestion_configuration_id=''):
"""Get an existing dataset configuration.
@param dataset_ingestion_configuration_id str
@retval dataset_ingestion_configuration DatasetIngestionConfiguration
@throws NotFound if ingestion configuration did not exist
"""
log.debug("Reading dataset configuration")
dataset_ingestion_configuration = self.clients.resource_registry.read(dataset_ingestion_configuration_id)
return dataset_ingestion_configuration
def delete_dataset_config(self,dataset_ingestion_configuration_id=''):
"""Delete an existing dataset configuration.
@param dataset_ingestion_configuration_id str
@throws NotFound if ingestion configuration did not exist
"""
dataset_ingestion_configuration = self.clients.resource_registry.read(dataset_ingestion_configuration_id)
log.debug("Deleting dataset configuration")
self.clients.resource_registry.delete(dataset_ingestion_configuration_id)
ingest_config_ids, association_ids = self.clients.resource_registry.find_objects(dataset_ingestion_configuration_id, PRED.hasIngestionConfiguration, id_only=True)
if len(ingest_config_ids)!=1:
raise IngestionManagementServiceException('The dataset ingestion configuration is associated with more than one ingestion configuration!')
ingest_config_id = ingest_config_ids[0]
self.clients.resource_registry.delete_association(association=association_ids[0])
self.event_publisher.create_and_publish_event(
origin=ingest_config_id,
configuration = dataset_ingestion_configuration.configuration,
type = DatasetIngestionTypeEnum.DATASETINGESTIONBYSTREAM,
resource_id = dataset_ingestion_configuration_id,
deleted = True
)
