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