# For those usages not covered by the Apache License, Version 2.0 please
# contact: bdiaz@whitestack.com or glavado@whitestack.com
##
-import json
+import asyncio
import logging
import multiprocessing
import time
+import peewee
+import requests
from osm_common.dbbase import DbException
-from osm_mon.collector.collector import VIM_COLLECTORS
-from osm_mon.collector.collectors.juju import VCACollector
+from osm_mon.collector.backends.prometheus import OSM_METRIC_PREFIX
from osm_mon.core.common_db import CommonDbClient
+from osm_mon.core.config import Config
from osm_mon.core.database import DatabaseManager, Alarm
-from osm_mon.core.message_bus.producer import Producer
+from osm_mon.core.message_bus_client import MessageBusClient
from osm_mon.core.response import ResponseBuilder
-from osm_mon.core.settings import Config
log = logging.getLogger(__name__)
class Evaluator:
- def __init__(self):
- self.common_db = CommonDbClient()
+ def __init__(self, config: Config, loop=None):
+ self.conf = config
+ if not loop:
+ loop = asyncio.get_event_loop()
+ self.loop = loop
+ self.common_db = CommonDbClient(self.conf)
self.plugins = []
- self.database_manager = DatabaseManager()
+ self.database_manager = DatabaseManager(self.conf)
self.database_manager.create_tables()
self.queue = multiprocessing.Queue()
-
- def _evaluate_vim_metric(self,
- nsr_id: str,
- vnf_member_index: int,
- vdur_name: str,
- nfvi_metric_name: str,
- vim_account_id: str,
- alarm: Alarm):
- vim_type = self.database_manager.get_vim_type(vim_account_id)
- if vim_type in VIM_COLLECTORS:
- collector = VIM_COLLECTORS[vim_type](vim_account_id)
- metric = collector.collect_one(nsr_id, vnf_member_index, vdur_name, nfvi_metric_name)
- if alarm.operation.upper() == 'GT':
- if metric.value > alarm.threshold:
- self.queue.put(alarm)
- elif alarm.operation.upper() == 'LT':
- if metric.value < alarm.threshold:
- self.queue.put(alarm)
-
+ self.msg_bus = MessageBusClient(config)
+
+ def _evaluate_metric(self,
+ nsr_id: str,
+ vnf_member_index: int,
+ vdur_name: str,
+ metric_name: str,
+ alarm: Alarm):
+ log.debug("_evaluate_metric")
+ # TODO: Refactor to fit backend plugin model
+ query_section = "query={0}{{ns_id=\"{1}\",vdu_name=\"{2}\",vnf_member_index=\"{3}\"}}".format(
+ OSM_METRIC_PREFIX + metric_name, nsr_id, vdur_name, vnf_member_index)
+ request_url = self.conf.get('prometheus', 'url') + "/api/v1/query?" + query_section
+ log.info("Querying Prometheus: %s", request_url)
+ r = requests.get(request_url, timeout=int(self.conf.get('global', 'request_timeout')))
+ if r.status_code == 200:
+ json_response = r.json()
+ if json_response['status'] == 'success':
+ result = json_response['data']['result']
+ if len(result):
+ metric_value = float(result[0]['value'][1])
+ log.info("Metric value: %s", metric_value)
+ if alarm.operation.upper() == 'GT':
+ if metric_value > alarm.threshold:
+ self.queue.put(alarm)
+ elif alarm.operation.upper() == 'LT':
+ if metric_value < alarm.threshold:
+ self.queue.put(alarm)
+ else:
+ log.warning("No metric result for alarm %s", alarm.id)
+ else:
+ log.warning("Prometheus response is not success. Got status %s", json_response['status'])
else:
- log.debug("vimtype %s is not supported.", vim_type)
-
- def _evaluate_vca_metric(self,
- nsr_id: str,
- vnf_member_index: int,
- vdur_name: str,
- vnf_metric_name: str,
- alarm: Alarm):
- collector = VCACollector()
- metric = collector.collect_one(nsr_id, vnf_member_index, vdur_name, vnf_metric_name)
- if alarm.operation.upper() == 'GT':
- if metric.value > alarm.threshold:
- self.queue.put(alarm)
- elif alarm.operation.upper() == 'LT':
- if metric.value < alarm.threshold:
- self.queue.put(alarm)
+ log.warning("Error contacting Prometheus. Got status code %s: %s", r.status_code, r.text)
def evaluate_forever(self):
- log.debug('collect_forever')
- cfg = Config.instance()
+ log.debug('evaluate_forever')
while True:
try:
self.evaluate()
- time.sleep(cfg.OSMMON_EVALUATOR_INTERVAL)
+ time.sleep(int(self.conf.get('evaluator', 'interval')))
+ except peewee.PeeweeException:
+ log.exception("Database error evaluating alarms: ")
+ raise
except Exception:
log.exception("Error evaluating alarms")
def evaluate(self):
+ log.debug('evaluate')
processes = []
for alarm in Alarm.select():
try:
'vdu-monitoring-param-ref'], vdu['monitoring-param']))
nfvi_metric = vdu_monitoring_param['nfvi-metric']
- vim_account_id = self.common_db.get_vim_account_id(nsr_id, vnf_member_index)
- p = multiprocessing.Process(target=self._evaluate_vim_metric,
+ p = multiprocessing.Process(target=self._evaluate_metric,
args=(nsr_id,
vnf_member_index,
vdur_name,
nfvi_metric,
- vim_account_id,
alarm))
processes.append(p)
p.start()
if 'vdu-metric' in vnf_monitoring_param:
vnf_metric_name = vnf_monitoring_param['vdu-metric']['vdu-metric-name-ref']
- p = multiprocessing.Process(target=self._evaluate_vca_metric,
+ p = multiprocessing.Process(target=self._evaluate_metric,
args=(nsr_id,
vnf_member_index,
vdur_name,
processes.append(p)
p.start()
if 'vnf-metric' in vnf_monitoring_param:
- log.warning("vnf-metric is not currently supported.")
- continue
+ vnf_metric_name = vnf_monitoring_param['vnf-metric']['vnf-metric-name-ref']
+ p = multiprocessing.Process(target=self._evaluate_metric,
+ args=(nsr_id,
+ vnf_member_index,
+ '',
+ vnf_metric_name,
+ alarm))
+ processes.append(p)
+ p.start()
for process in processes:
- process.join()
+ process.join(timeout=10)
triggered_alarms = []
while not self.queue.empty():
triggered_alarms.append(self.queue.get())
for alarm in triggered_alarms:
- self.notify_alarm(alarm)
p = multiprocessing.Process(target=self.notify_alarm,
args=(alarm,))
p.start()
def notify_alarm(self, alarm: Alarm):
+ log.debug("notify_alarm")
response = ResponseBuilder()
now = time.strftime("%d-%m-%Y") + " " + time.strftime("%X")
# Generate and send response
resp_message = response.generate_response(
'notify_alarm',
- alarm_id=alarm.id,
+ alarm_id=alarm.uuid,
vdu_name=alarm.vdur_name,
vnf_member_index=alarm.vnf_member_index,
ns_id=alarm.nsr_id,
sev=alarm.severity,
status='alarm',
date=now)
- producer = Producer()
- producer.send(topic='alarm_response', key='notify_alarm', value=json.dumps(resp_message))
- producer.flush()
+ self.loop.run_until_complete(self.msg_bus.aiowrite('alarm_response', 'notify_alarm', resp_message))
log.info("Sent alarm notification: %s", resp_message)
projects / osm / MON.git / blobdiff