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_mon.core.common_db import CommonDbClient
  29 from osm_mon.core.config import Config
  30 from osm_mon.core.models import Alarm
  31 from osm_mon.evaluator.backends.prometheus import PrometheusBackend
  32
  33 log = logging.getLogger(__name__)
  34
  35 BACKENDS = {
  36     'prometheus': PrometheusBackend
  37 }
  38
  39
  40 class AlarmStatus(Enum):
  41     ALARM = 'alarm'
  42     OK = 'ok'
  43     INSUFFICIENT = 'insufficient-data'
  44
  45
  46 class EvaluatorService:
  47
  48     def __init__(self, config: Config):
  49         self.conf = config
  50         self.common_db = CommonDbClient(self.conf)
  51         self.queue = multiprocessing.Queue()
  52
  53     def _get_metric_value(self,
  54                           metric_name: str,
  55                           tags: dict):
  56         return BACKENDS[self.conf.get('evaluator', 'backend')](self.conf).get_metric_value(metric_name, tags)
  57
  58     def _evaluate_metric(self,
  59                          alarm: Alarm):
  60         log.debug("_evaluate_metric")
  61         metric_value = self._get_metric_value(alarm.metric, alarm.tags)
  62         if metric_value is None:
  63             log.warning("No metric result for alarm %s", alarm.uuid)
  64             self.queue.put((alarm, AlarmStatus.INSUFFICIENT))
  65         else:
  66             if alarm.operation.upper() == 'GT':
  67                 if metric_value > alarm.threshold:
  68                     self.queue.put((alarm, AlarmStatus.ALARM))
  69                 else:
  70                     self.queue.put((alarm, AlarmStatus.OK))
  71             elif alarm.operation.upper() == 'LT':
  72                 if metric_value < alarm.threshold:
  73                     self.queue.put((alarm, AlarmStatus.ALARM))
  74                 else:
  75                     self.queue.put((alarm, AlarmStatus.OK))
  76
  77     def evaluate_alarms(self) -> List[Tuple[Alarm, AlarmStatus]]:
  78         log.debug('evaluate_alarms')
  79         processes = []
  80         for alarm in self.common_db.get_alarms():
  81             p = multiprocessing.Process(target=self._evaluate_metric,
  82                                         args=(alarm,))
  83             processes.append(p)
  84             p.start()
  85
  86         for process in processes:
  87             process.join(timeout=10)
  88         alarms_tuples = []
  89         while not self.queue.empty():
  90             alarms_tuples.append(self.queue.get())
  91         return alarms_tuples