# For those usages not covered by the Apache License, Version 2.0 please
# contact: bdiaz@whitestack.com or glavado@whitestack.com
##
+import asyncio
import datetime
import json
import logging
-import threading
from json import JSONDecodeError
import yaml
-from kafka import KafkaConsumer
+from aiokafka import AIOKafkaConsumer
from osm_policy_module.common.db_client import DbClient
from osm_policy_module.common.lcm_client import LcmClient
class PolicyModuleAgent:
- def __init__(self):
+ def __init__(self, loop=None):
cfg = Config.instance()
+ if not loop:
+ loop = asyncio.get_event_loop()
+ self.loop = loop
self.db_client = DbClient()
- self.mon_client = MonClient()
- self.lcm_client = LcmClient()
+ self.mon_client = MonClient(loop=self.loop)
+ self.lcm_client = LcmClient(loop=self.loop)
self.kafka_server = '{}:{}'.format(cfg.OSMPOL_MESSAGE_HOST,
cfg.OSMPOL_MESSAGE_PORT)
def run(self):
- consumer = KafkaConsumer(bootstrap_servers=self.kafka_server,
- key_deserializer=bytes.decode,
- value_deserializer=bytes.decode,
- group_id='pol-consumer')
- consumer.subscribe(["ns", "alarm_response"])
+ self.loop.run_until_complete(self.start())
- for message in consumer:
- t = threading.Thread(target=self._process_msg, args=(message.topic, message.key, message.value,))
- t.start()
+ async def start(self):
+ consumer = AIOKafkaConsumer(
+ "ns",
+ "alarm_response",
+ loop=self.loop,
+ bootstrap_servers=self.kafka_server,
+ group_id="pol-consumer",
+ key_deserializer=bytes.decode,
+ value_deserializer=bytes.decode,
+ )
+ await consumer.start()
+ try:
+ async for msg in consumer:
+ await self._process_msg(msg.topic, msg.key, msg.value)
+ finally:
+ await consumer.stop()
- def _process_msg(self, topic, key, msg):
+ async def _process_msg(self, topic, key, msg):
log.debug("_process_msg topic=%s key=%s msg=%s", topic, key, msg)
try:
if key in ALLOWED_KAFKA_KEYS:
content = yaml.safe_load(msg)
if key == 'instantiated' or key == 'scaled':
- self._handle_instantiated_or_scaled(content)
+ await self._handle_instantiated_or_scaled(content)
if key == 'notify_alarm':
- self._handle_alarm_notification(content)
+ await self._handle_alarm_notification(content)
else:
log.debug("Key %s is not in ALLOWED_KAFKA_KEYS", key)
except Exception:
log.exception("Error consuming message: ")
- def _handle_alarm_notification(self, content):
+ async def _handle_alarm_notification(self, content):
log.debug("_handle_alarm_notification: %s", content)
alarm_id = content['notify_details']['alarm_uuid']
metric_name = content['notify_details']['metric_name']
log.info("Time between last scale and now is less than cooldown time. Skipping.")
return
log.info("Sending scaling action message for ns: %s", alarm_id)
- self.lcm_client.scale(alarm.scaling_criteria.scaling_policy.scaling_group.nsr_id,
- alarm.scaling_criteria.scaling_policy.scaling_group.name,
- alarm.vnf_member_index,
- alarm.action)
+ await self.lcm_client.scale(alarm.scaling_criteria.scaling_policy.scaling_group.nsr_id,
+ alarm.scaling_criteria.scaling_policy.scaling_group.name,
+ alarm.vnf_member_index,
+ alarm.action)
alarm.scaling_criteria.scaling_policy.last_scale = datetime.datetime.now()
alarm.scaling_criteria.scaling_policy.save()
except ScalingAlarm.DoesNotExist:
log.info("There is no action configured for alarm %s.", alarm_id)
- def _handle_instantiated_or_scaled(self, content):
+ async def _handle_instantiated_or_scaled(self, content):
log.debug("_handle_instantiated_or_scaled: %s", content)
nslcmop_id = content['nslcmop_id']
nslcmop = self.db_client.get_nslcmop(nslcmop_id)
if nslcmop['operationState'] == 'COMPLETED' or nslcmop['operationState'] == 'PARTIALLY_COMPLETED':
nsr_id = nslcmop['nsInstanceId']
log.info("Configuring scaling groups for network service with nsr_id: %s", nsr_id)
- self._configure_scaling_groups(nsr_id)
+ await self._configure_scaling_groups(nsr_id)
else:
log.info(
"Network service is not in COMPLETED or PARTIALLY_COMPLETED state. "
"Current state is %s. Skipping...",
nslcmop['operationState'])
- def _configure_scaling_groups(self, nsr_id: str):
+ async def _configure_scaling_groups(self, nsr_id: str):
log.debug("_configure_scaling_groups: %s", nsr_id)
# TODO: Add support for non-nfvi metrics
alarms_created = []
for vdu_ref in scaling_group['vdu']:
vnf_monitoring_param = next(
- filter(lambda param: param['id'] == scaling_criteria[
- 'vnf-monitoring-param-ref'], vnf_monitoring_params))
+ filter(
+ lambda param: param['id'] == scaling_criteria[
+ 'vnf-monitoring-param-ref'],
+ vnf_monitoring_params)
+ )
if not vdu_ref['vdu-id-ref'] == vnf_monitoring_param['vdu-ref']:
continue
vdu = next(
vnfr['vdur']))
for vdur in vdurs:
try:
- ScalingAlarm.select().join(ScalingCriteria).where(
+ (ScalingAlarm.select()
+ .join(ScalingCriteria)
+ .join(ScalingPolicy)
+ .join(ScalingGroup)
+ .where(
ScalingAlarm.vdu_name == vdur['name'],
- ScalingCriteria.name == scaling_criteria['name']
- ).get()
+ ScalingCriteria.name == scaling_criteria['name'],
+ ScalingPolicy.name == scaling_policy['name'],
+ ScalingGroup.nsr_id == nsr_id
+ ).get())
log.debug("vdu %s already has an alarm configured", vdur['name'])
continue
except ScalingAlarm.DoesNotExist:
pass
- alarm_uuid = self.mon_client.create_alarm(
+ alarm_uuid = await self.mon_client.create_alarm(
metric_name=vdu_monitoring_param['nfvi-metric'],
ns_id=nsr_id,
vdu_name=vdur['name'],
vdu_name=vdur['name'],
scaling_criteria=scaling_criteria_record
)
- alarm_uuid = self.mon_client.create_alarm(
+ alarm_uuid = await self.mon_client.create_alarm(
metric_name=vdu_monitoring_param['nfvi-metric'],
ns_id=nsr_id,
vdu_name=vdur['name'],
if len(alarms_created) > 0:
log.info("Cleaning alarm resources in MON")
for alarm in alarms_created:
- self.mon_client.delete_alarm(*alarm)
+ await self.mon_client.delete_alarm(*alarm)
raise e