osm_mon/evaluator/service.py

   1 # -*- coding: utf-8 -*-
   2
   3 # Copyright 2018 Whitestack, LLC
   4 # *************************************************************
   5
   6 # This file is part of OSM Monitoring module
   7 # All Rights Reserved to Whitestack, LLC
   8
   9 # Licensed under the Apache License, Version 2.0 (the "License"); you may
  10 # not use this file except in compliance with the License. You may obtain
  11 # a copy of the License at
  12
  13 #         http://www.apache.org/licenses/LICENSE-2.0
  14
  15 # Unless required by applicable law or agreed to in writing, software
  16 # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  17 # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
  18 # License for the specific language governing permissions and limitations
  19 # under the License.
  20 # For those usages not covered by the Apache License, Version 2.0 please
  21 # contact: bdiaz@whitestack.com or glavado@whitestack.com
  22 ##
  23 import logging
  24 import multiprocessing
  25 from enum import Enum
  26 from typing import Tuple, List
  27
  28 from osm_common.dbbase import DbException
  29
  30 from osm_mon.core import database
  31 from osm_mon.core.common_db import CommonDbClient
  32 from osm_mon.core.config import Config
  33 from osm_mon.core.database import Alarm, AlarmRepository
  34 from osm_mon.evaluator.backends.prometheus import PrometheusBackend
  35
  36 log = logging.getLogger(__name__)
  37
  38 BACKENDS = {
  39     'prometheus': PrometheusBackend
  40 }
  41
  42
  43 class AlarmStatus(Enum):
  44     ALARM = 'alarm'
  45     OK = 'ok'
  46     INSUFFICIENT = 'insufficient-data'
  47
  48
  49 class EvaluatorService:
  50
  51     def __init__(self, config: Config):
  52         self.conf = config
  53         self.common_db = CommonDbClient(self.conf)
  54         self.queue = multiprocessing.Queue()
  55
  56     def _get_metric_value(self,
  57                           nsr_id: str,
  58                           vnf_member_index: int,
  59                           vdur_name: str,
  60                           metric_name: str):
  61         return BACKENDS[self.conf.get('evaluator', 'backend')]().get_metric_value(metric_name, nsr_id, vdur_name,
  62                                                                                   vnf_member_index)
  63
  64     def _evaluate_metric(self,
  65                          nsr_id: str,
  66                          vnf_member_index: int,
  67                          vdur_name: str,
  68                          metric_name: str,
  69                          alarm: Alarm):
  70         log.debug("_evaluate_metric")
  71         metric_value = self._get_metric_value(nsr_id, vnf_member_index, vdur_name, metric_name)
  72         if not metric_value:
  73             log.warning("No metric result for alarm %s", alarm.id)
  74             self.queue.put((alarm, AlarmStatus.INSUFFICIENT))
  75         else:
  76             if alarm.operation.upper() == 'GT':
  77                 if metric_value > alarm.threshold:
  78                     self.queue.put((alarm, AlarmStatus.ALARM))
  79                 else:
  80                     self.queue.put((alarm, AlarmStatus.OK))
  81             elif alarm.operation.upper() == 'LT':
  82                 if metric_value < alarm.threshold:
  83                     self.queue.put((alarm, AlarmStatus.ALARM))
  84                 else:
  85                     self.queue.put((alarm, AlarmStatus.OK))
  86
  87     def evaluate_alarms(self) -> List[Tuple[Alarm, AlarmStatus]]:
  88         log.debug('evaluate_alarms')
  89         processes = []
  90         database.db.connect()
  91         try:
  92             with database.db.atomic():
  93                 for alarm in AlarmRepository.list():
  94                     try:
  95                         vnfr = self.common_db.get_vnfr(alarm.nsr_id, alarm.vnf_member_index)
  96                     except DbException:
  97                         log.exception("Error getting vnfr: ")
  98                         continue
  99                     vnfd = self.common_db.get_vnfd(vnfr['vnfd-id'])
 100                     try:
 101                         vdur = next(filter(lambda vdur: vdur['name'] == alarm.vdur_name, vnfr['vdur']))
 102                     except StopIteration:
 103                         log.warning("No vdur found with name %s for alarm %s", alarm.vdur_name, alarm.id)
 104                         continue
 105                     vdu = next(filter(lambda vdu: vdu['id'] == vdur['vdu-id-ref'], vnfd['vdu']))
 106                     vnf_monitoring_param = next(
 107                         filter(lambda param: param['id'] == alarm.monitoring_param, vnfd['monitoring-param']))
 108                     nsr_id = vnfr['nsr-id-ref']
 109                     vnf_member_index = vnfr['member-vnf-index-ref']
 110                     vdur_name = vdur['name']
 111                     if 'vdu-monitoring-param' in vnf_monitoring_param:
 112                         vdu_monitoring_param = next(filter(
 113                             lambda param: param['id'] == vnf_monitoring_param['vdu-monitoring-param'][
 114                                 'vdu-monitoring-param-ref'], vdu['monitoring-param']))
 115                         nfvi_metric = vdu_monitoring_param['nfvi-metric']
 116
 117                         p = multiprocessing.Process(target=self._evaluate_metric,
 118                                                     args=(nsr_id,
 119                                                           vnf_member_index,
 120                                                           vdur_name,
 121                                                           nfvi_metric,
 122                                                           alarm))
 123                         processes.append(p)
 124                         p.start()
 125                     if 'vdu-metric' in vnf_monitoring_param:
 126                         vnf_metric_name = vnf_monitoring_param['vdu-metric']['vdu-metric-name-ref']
 127                         p = multiprocessing.Process(target=self._evaluate_metric,
 128                                                     args=(nsr_id,
 129                                                           vnf_member_index,
 130                                                           vdur_name,
 131                                                           vnf_metric_name,
 132                                                           alarm))
 133                         processes.append(p)
 134                         p.start()
 135                     if 'vnf-metric' in vnf_monitoring_param:
 136                         vnf_metric_name = vnf_monitoring_param['vnf-metric']['vnf-metric-name-ref']
 137                         p = multiprocessing.Process(target=self._evaluate_metric,
 138                                                     args=(nsr_id,
 139                                                           vnf_member_index,
 140                                                           '',
 141                                                           vnf_metric_name,
 142                                                           alarm))
 143                         processes.append(p)
 144                         p.start()
 145
 146                 for process in processes:
 147                     process.join(timeout=10)
 148                 alarms_tuples = []
 149                 while not self.queue.empty():
 150                     alarms_tuples.append(self.queue.get())
 151                 return alarms_tuples
 152         finally:
 153             database.db.close()