import datetime
import json
import logging
-from json import JSONDecodeError
-import yaml
-from aiokafka import AIOKafkaConsumer
+import peewee
from osm_policy_module.common.common_db_client import CommonDbClient
from osm_policy_module.common.lcm_client import LcmClient
+from osm_policy_module.common.message_bus_client import MessageBusClient
from osm_policy_module.common.mon_client import MonClient
from osm_policy_module.core import database
from osm_policy_module.core.config import Config
from osm_policy_module.core.database import ScalingGroup, ScalingAlarm, ScalingPolicy, ScalingCriteria, DatabaseManager
+from osm_policy_module.core.exceptions import VdurNotFound
+from osm_policy_module.utils.vnfd import VnfdUtils
log = logging.getLogger(__name__)
class PolicyModuleAgent:
- def __init__(self, loop=None):
- cfg = Config.instance()
+ def __init__(self, config: Config, loop=None):
+ self.conf = config
if not loop:
loop = asyncio.get_event_loop()
self.loop = loop
- self.db_client = CommonDbClient()
- 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)
- self.database_manager = DatabaseManager()
+ self.db_client = CommonDbClient(config)
+ self.mon_client = MonClient(config, loop=self.loop)
+ self.lcm_client = LcmClient(config, loop=self.loop)
+ self.database_manager = DatabaseManager(config)
+ self.msg_bus = MessageBusClient(config)
def run(self):
self.loop.run_until_complete(self.start())
async def start(self):
- consumer = AIOKafkaConsumer(
+ topics = [
"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:
- log.info("Message arrived: %s", msg)
- await self._process_msg(msg.topic, msg.key, msg.value)
- finally:
- await consumer.stop()
+ "alarm_response"
+ ]
+ await self.msg_bus.aioread(topics, self._process_msg)
+ log.critical("Exiting...")
async def _process_msg(self, topic, key, msg):
log.debug("_process_msg topic=%s key=%s msg=%s", topic, key, msg)
+ log.info("Message arrived: %s", msg)
try:
if key in ALLOWED_KAFKA_KEYS:
- try:
- content = json.loads(msg)
- except JSONDecodeError:
- content = yaml.safe_load(msg)
- if key == 'instantiated' or key == 'scaled':
- await self._handle_instantiated_or_scaled(content)
+ if key == 'instantiated':
+ await self._handle_instantiated(msg)
+
+ if key == 'scaled':
+ await self._handle_scaled(msg)
if key == 'terminated':
- await self._handle_terminated(content)
+ await self._handle_terminated(msg)
if key == 'notify_alarm':
- await self._handle_alarm_notification(content)
+ await self._handle_alarm_notification(msg)
else:
log.debug("Key %s is not in ALLOWED_KAFKA_KEYS", key)
+ except peewee.PeeweeException:
+ log.exception("Database error consuming message: ")
+ raise
except Exception:
log.exception("Error consuming message: ")
except ScalingAlarm.DoesNotExist:
log.info("There is no action configured for alarm %s.", alarm_uuid)
- async def _handle_instantiated_or_scaled(self, content):
- log.debug("_handle_instantiated_or_scaled: %s", content)
+ async def _handle_instantiated(self, content):
+ log.debug("_handle_instantiated: %s", content)
nslcmop_id = content['nslcmop_id']
nslcmop = self.db_client.get_nslcmop(nslcmop_id)
if nslcmop['operationState'] == 'COMPLETED' or nslcmop['operationState'] == 'PARTIALLY_COMPLETED':
"Current state is %s. Skipping...",
nslcmop['operationState'])
+ async def _handle_scaled(self, content):
+ log.debug("_handle_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)
+ await self._configure_scaling_groups(nsr_id)
+ log.info("Checking for orphaned alarms to be deleted for network service with nsr_id: %s", nsr_id)
+ await self._delete_orphaned_alarms(nsr_id)
+ else:
+ log.info(
+ "Network service is not in COMPLETED or PARTIALLY_COMPLETED state. "
+ "Current state is %s. Skipping...",
+ nslcmop['operationState'])
+
async def _handle_terminated(self, content):
log.debug("_handle_deleted: %s", content)
nsr_id = content['nsr_id']
)
)
elif 'vnf-metric' in vnf_monitoring_param:
- log.warning("vnf-metric is not currently supported.")
- continue
+ vdu = VnfdUtils.get_mgmt_vdu(vnfd)
+ vdurs = list(
+ filter(
+ lambda vdur: vdur['vdu-id-ref'] == vdu['id'],
+ vnfr['vdur']
+ )
+ )
else:
log.warning(
"Scaling criteria is referring to a vnf-monitoring-param that does not "
log.exception("Error deleting scaling groups and alarms:")
tx.rollback()
raise e
+
+ async def _delete_orphaned_alarms(self, nsr_id):
+ with database.db.atomic() as tx:
+ try:
+ for scaling_group in ScalingGroup.select().where(ScalingGroup.nsr_id == nsr_id):
+ for scaling_policy in scaling_group.scaling_policies:
+ for scaling_criteria in scaling_policy.scaling_criterias:
+ for alarm in scaling_criteria.scaling_alarms:
+ try:
+ self.db_client.get_vdur(nsr_id, alarm.vnf_member_index, alarm.vdu_name)
+ except VdurNotFound:
+ log.info("Deleting orphaned alarm %s", alarm.alarm_uuid)
+ try:
+ await self.mon_client.delete_alarm(
+ alarm.scaling_criteria.scaling_policy.scaling_group.nsr_id,
+ alarm.vnf_member_index,
+ alarm.vdu_name,
+ alarm.alarm_uuid)
+ except ValueError:
+ log.exception("Error deleting alarm in MON %s", alarm.alarm_uuid)
+ alarm.delete_instance()
+
+ except Exception as e:
+ log.exception("Error deleting orphaned alarms:")
+ tx.rollback()
+ raise e
projects / osm / POL.git / blobdiff