def create_event_producer(tenant, name, pattern, durable, encrypted, sinks):
"""
Creates an Event Producer object, assigns it to a tenant, and updates the
tenant in the datastore.
"""
new_event_producer = EventProducer(
_db_handler.next_sequence_value(tenant.tenant_id),
name,
pattern,
durable,
encrypted,
sinks)
#add the event_producer to the tenant
tenant.event_producers.append(new_event_producer)
#save the tenant's data
save_tenant(tenant)
#create a new mapping for the producer in the default
# sink to enable time_to_live
ttl_tasks.create_ttl_mapping.delay(
tenant_id=tenant.tenant_id,
producer_pattern=new_event_producer.pattern)
#return the id of the newly created producer
return new_event_producer.get_id()
def _add_correlation_info_to_message(tenant, message):
"""
Pack the message with correlation data. The message will be update by
adding a dictionary named "meniscus" that contains tenant specific
information used in processing the message.
"""
#match the producer by the message pname
producer = tenant_util.find_event_producer(tenant,
producer_name=message['pname'])
#if the producer is not found, create a default producer
if not producer:
producer = EventProducer(_id=None, name="default", pattern="default")
#create correlation dictionary
correlation_dict = {
'tenant_name': tenant.tenant_name,
'ep_id': producer.get_id(),
'pattern': producer.pattern,
'durable': producer.durable,
'encrypted': producer.encrypted,
'@timestamp': timeutils.utcnow(),
'sinks': producer.sinks,
"destinations": dict()
}
#configure sink dispatch
for sink in producer.sinks:
correlation_dict["destinations"][sink] = {'transaction_id': None,
'transaction_time': None}
# After successful correlation remove meniscus information from structured
# data so that the client's token is scrubbed form the message.
message['native'].pop('meniscus', None)
message.update({'meniscus': {'tenant': tenant.tenant_id,
'correlation': correlation_dict}})
# If the message data indicates that the message has normalization rules
# that apply, Queue the message for normalization processing
if normalizer.should_normalize(message):
#Todo: (stevendgonzales) Examine whether or not to remove
#Todo: persist_message as a linked subtask(callback) of the
#Todo: normalization task instead Queue the task based on routing
#Todo: determined at the end of the normalization process.
# send the message to normalization then to the data dispatch
normalizer.normalize_message.apply_async(
(message,),
link=dispatch.persist_message.subtask())
else:
# Queue the message for indexing/storage
dispatch.persist_message(message)
def _add_correlation_info_to_message(tenant, message):
"""
Pack the message with correlation data. The message will be update by
adding a dictionary named "meniscus" that contains tenant specific
information used in processing the message.
"""
#match the producer by the message pname
producer = tenant_util.find_event_producer(tenant,
producer_name=message['pname'])
#if the producer is not found, create a default producer
if not producer:
producer = EventProducer(_id=None, name="default", pattern="default")
#create correlation dictionary
correlation_dict = {
'tenant_name': tenant.tenant_name,
'ep_id': producer.get_id(),
'pattern': producer.pattern,
'durable': producer.durable,
'encrypted': producer.encrypted,
'@timestamp': timeutils.utcnow(),
'sinks': producer.sinks,
"destinations": dict()
}
#configure sink dispatch
for sink in producer.sinks:
correlation_dict["destinations"][sink] = {
'transaction_id': None,
'transaction_time': None
}
# After successful correlation remove meniscus information from structured
# data so that the client's token is scrubbed form the message.
message['native'].pop('meniscus', None)
message.update({
'meniscus': {
'tenant': tenant.tenant_id,
'correlation': correlation_dict
}
})
# If the message data indicates that the message has normalization rules
# that apply, Queue the message for normalization processing
if normalizer.should_normalize(message):
# send the message to normalization then route to sink
normalizer.normalize_message.delay(message)
else:
# Queue the message for indexing/storage
sinks.route_message(message)
def on_post(self, req, resp, tenant_id, validated_body):
body = validated_body['event_producer']
tenant = find_tenant(self.db, tenant_id=tenant_id)
if not tenant:
_tenant_not_found()
event_producer_name = body['name']
event_producer_pattern = body['pattern']
#if durable or encrypted aren't specified, set to False
if 'durable' in body.keys():
event_producer_durable = body['durable']
else:
event_producer_durable = False
if 'encrypted' in body.keys():
event_producer_encrypted = body['encrypted']
else:
event_producer_encrypted = False
if 'sinks' in body.keys():
event_producer_sinks = body['sinks']
else:
event_producer_sinks = None
# Check if the tenant already has an event producer with this name
producer = find_event_producer(tenant,
producer_name=event_producer_name)
if producer:
abort(falcon.HTTP_400,
'Event producer with name {0} already exists with id={1}.'
.format(producer.name, producer.get_id()))
# Create the new profile for the host
new_event_producer = EventProducer(
self.db.next_sequence_value(tenant.tenant_id),
event_producer_name,
event_producer_pattern,
event_producer_durable,
event_producer_encrypted,
event_producer_sinks)
tenant.event_producers.append(new_event_producer)
self.db.update('tenant', tenant.format_for_save())
resp.status = falcon.HTTP_201
resp.set_header('Location',
'/v1/{0}/producers/{1}'
.format(tenant_id, new_event_producer.get_id()))
def on_post(self, req, resp, tenant_id, validated_body):
body = validated_body['event_producer']
tenant = find_tenant(self.db, tenant_id=tenant_id)
if not tenant:
_tenant_not_found()
event_producer_name = body['name']
event_producer_pattern = body['pattern']
#if durable or encrypted aren't specified, set to False
if 'durable' in body.keys():
event_producer_durable = body['durable']
else:
event_producer_durable = False
if 'encrypted' in body.keys():
event_producer_encrypted = body['encrypted']
else:
event_producer_encrypted = False
if 'sinks' in body.keys():
event_producer_sinks = body['sinks']
else:
event_producer_sinks = None
# Check if the tenant already has an event producer with this name
producer = find_event_producer(tenant,
producer_name=event_producer_name)
if producer:
abort(
falcon.HTTP_400,
'Event producer with name {0} already exists with id={1}.'.
format(producer.name, producer.get_id()))
# Create the new profile for the host
new_event_producer = EventProducer(
self.db.next_sequence_value(tenant.tenant_id), event_producer_name,
event_producer_pattern, event_producer_durable,
event_producer_encrypted, event_producer_sinks)
tenant.event_producers.append(new_event_producer)
self.db.update('tenant', tenant.format_for_save())
resp.status = falcon.HTTP_201
resp.set_header(
'Location',
'/v1/{0}/producers/{1}'.format(tenant_id,
new_event_producer.get_id()))
class WhenTestingEventProducerObject(unittest.TestCase):
def setUp(self):
with patch('meniscus.data.model.tenant.DEFAULT_SINK', 'elasticsearch'):
self.event_producer = EventProducer('EVid', 'mybillingsapp',
'syslog', 'true', 'false')
def test_event_producer_object_get_id(self):
self.assertEqual(self.event_producer.get_id(), 'EVid')
def test_event_producer_object_format(self):
ep_dict = self.event_producer.format()
self.assertEqual(ep_dict['id'], 'EVid')
self.assertEqual(ep_dict['name'], 'mybillingsapp')
self.assertEqual(ep_dict['pattern'], 'syslog')
self.assertEqual(ep_dict['durable'], 'true')
self.assertEqual(ep_dict['encrypted'], 'false')
self.assertListEqual(ep_dict['sinks'], ['elasticsearch'])
class WhenTestingEventProducerObject(unittest.TestCase):
def setUp(self):
self.event_producer = EventProducer('EVid',
'mybillingsapp',
'syslog',
'true',
'false')
def test_event_producer_object_get_id(self):
self.assertEqual(self.event_producer.get_id(), 'EVid')
def test_event_producer_object_format(self):
ep_dict = self.event_producer.format()
self.assertEqual(ep_dict['id'], 'EVid')
self.assertEqual(ep_dict['name'], 'mybillingsapp')
self.assertEqual(ep_dict['pattern'], 'syslog')
self.assertEqual(ep_dict['durable'], 'true')
self.assertEqual(ep_dict['encrypted'], 'false')
def add_correlation_info_to_message(tenant, message):
#match the producer by the message pname
producer = find_event_producer(
tenant, producer_name=message['pname'])
#if the producer is not found, create a default producer
if not producer:
producer = EventProducer(_id=None, name="default", pattern="default")
#create correlation dictionary
correlation_dict = {
'tenant_name': tenant.tenant_name,
'ep_id': producer.get_id(),
'pattern': producer.pattern,
'durable': producer.durable,
'encrypted': producer.encrypted,
'@timestamp': timeutils.utcnow(),
'sinks': producer.sinks,
"destinations": dict()
}
#configure sink dispatch
destinations = dict()
for sink in producer.sinks:
correlation_dict["destinations"][sink] = {
'transaction_id': None,
'transaction_time': None
}
#todo(sgonzales) persist message and create job
if producer.durable:
durable_job_id = str(uuid4())
correlation_dict.update({'job_id': durable_job_id})
message.update({
"meniscus": {
"tenant": tenant.tenant_id,
"correlation": correlation_dict
}
})
return message
def add_correlation_info_to_message(tenant, message):
#match the producer by the message pname
producer = find_event_producer(tenant, producer_name=message['pname'])
#if the producer is not found, create a default producer
if not producer:
producer = EventProducer(_id=None, name="default", pattern="default")
#create correlation dictionary
correlation_dict = {
'tenant_name': tenant.tenant_name,
'ep_id': producer.get_id(),
'pattern': producer.pattern,
'durable': producer.durable,
'encrypted': producer.encrypted,
'@timestamp': timeutils.utcnow(),
'sinks': producer.sinks,
"destinations": dict()
}
#configure sink dispatch
destinations = dict()
for sink in producer.sinks:
correlation_dict["destinations"][sink] = {
'transaction_id': None,
'transaction_time': None
}
#todo(sgonzales) persist message and create job
if producer.durable:
durable_job_id = str(uuid4())
correlation_dict.update({'job_id': durable_job_id})
message.update({
"meniscus": {
"tenant": tenant.tenant_id,
"correlation": correlation_dict
}
})
return message
def create_event_producer(tenant, name, pattern, durable, encrypted, sinks):
"""
Creates an Event Producer object, assigns it to a tenant, and updates the
tenant in the datastore.
"""
new_event_producer = EventProducer(
_db_handler.next_sequence_value(tenant.tenant_id), name, pattern,
durable, encrypted, sinks)
#add the event_producer to the tenant
tenant.event_producers.append(new_event_producer)
#save the tenant's data
save_tenant(tenant)
#create a new mapping for the producer in the default
# sink to enable time_to_live
mapping_tasks.create_ttl_mapping.delay(
tenant_id=tenant.tenant_id,
producer_pattern=new_event_producer.pattern)
#return the id of the newly created producer
return new_event_producer.get_id()
class WhenTestingEventProducerObject(unittest.TestCase):
def setUp(self):
with patch('meniscus.data.model.tenant.DEFAULT_SINK',
'elasticsearch'):
self.event_producer = EventProducer('EVid',
'mybillingsapp',
'syslog',
'true',
'false')
def test_event_producer_object_get_id(self):
self.assertEqual(self.event_producer.get_id(), 'EVid')
def test_event_producer_object_format(self):
ep_dict = self.event_producer.format()
self.assertEqual(ep_dict['id'], 'EVid')
self.assertEqual(ep_dict['name'], 'mybillingsapp')
self.assertEqual(ep_dict['pattern'], 'syslog')
self.assertEqual(ep_dict['durable'], 'true')
self.assertEqual(ep_dict['encrypted'], 'false')
self.assertListEqual(ep_dict['sinks'], ['elasticsearch'])
