policy_module/osm_policy_module/core/agent.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
  21 # For those usages not covered by the Apache License, Version 2.0 please
  22 # contact: bdiaz@whitestack.com or glavado@whitestack.com
  23 ##
  24 import json
  25 import logging
  26 from typing import Dict, List
  27
  28 import peewee
  29 import yaml
  30
  31 from kafka import KafkaConsumer
  32 from osm_policy_module.core.config import Config
  33 from osm_policy_module.common.lcm_client import LcmClient
  34
  35 from osm_policy_module.common.alarm_config import AlarmConfig
  36 from osm_policy_module.common.mon_client import MonClient
  37 from osm_policy_module.core.database import ScalingRecord, ScalingAlarm
  38
  39 log = logging.getLogger(__name__)
  40
  41
  42 class PolicyModuleAgent:
  43     def run(self):
  44         cfg = Config.instance()
  45         # Initialize servers
  46         kafka_server = '{}:{}'.format(cfg.get('policy_module', 'kafka_server_host'),
  47                                       cfg.get('policy_module', 'kafka_server_port'))
  48
  49         # Initialize Kafka consumer
  50         log.info("Connecting to Kafka server at %s", kafka_server)
  51         # TODO: Add logic to handle deduplication of messages when using group_id.
  52         # See: https://stackoverflow.com/a/29836412
  53         consumer = KafkaConsumer(bootstrap_servers=kafka_server,
  54                                  key_deserializer=bytes.decode,
  55                                  value_deserializer=bytes.decode)
  56         consumer.subscribe(['lcm_pm', 'alarm_response'])
  57
  58         for message in consumer:
  59             log.info("Message arrived: %s", message)
  60             try:
  61                 if message.key == 'configure_scaling':
  62                     try:
  63                         content = json.loads(message.value)
  64                     except:
  65                         content = yaml.safe_load(message.value)
  66                     log.info("Creating scaling record in DB")
  67                     # TODO: Use transactions: http://docs.peewee-orm.com/en/latest/peewee/transactions.html
  68                     scaling_record = ScalingRecord.create(
  69                         nsr_id=content['ns_id'],
  70                         name=content['scaling_group_descriptor']['name'],
  71                         content=json.dumps(content)
  72                     )
  73                     log.info("Created scaling record in DB : nsr_id=%s, name=%s, content=%s",
  74                              scaling_record.nsr_id,
  75                              scaling_record.name,
  76                              scaling_record.content)
  77                     alarm_configs = self._get_alarm_configs(content)
  78                     for config in alarm_configs:
  79                         mon_client = MonClient()
  80                         log.info("Creating alarm record in DB")
  81                         alarm_uuid = mon_client.create_alarm(
  82                             metric_name=config.metric_name,
  83                             ns_id=scaling_record.nsr_id,
  84                             vdu_name=config.vdu_name,
  85                             vnf_member_index=config.vnf_member_index,
  86                             threshold=config.threshold,
  87                             operation=config.operation,
  88                             statistic=config.statistic
  89                         )
  90                         ScalingAlarm.create(
  91                             alarm_id=alarm_uuid,
  92                             action=config.action,
  93                             scaling_record=scaling_record
  94                         )
  95                 if message.key == 'notify_alarm':
  96                     content = json.loads(message.value)
  97                     alarm_id = content['notify_details']['alarm_uuid']
  98                     log.info("Received alarm notification for alarm %s", alarm_id)
  99                     try:
 100                         alarm = ScalingAlarm.select().where(ScalingAlarm.alarm_id == alarm_id).get()
 101                         lcm_client = LcmClient()
 102                         log.info("Sending scaling action message for ns: %s", alarm_id)
 103                         lcm_client.scale(alarm.scaling_record.nsr_id, alarm.scaling_record.name, alarm.action)
 104                     except ScalingAlarm.DoesNotExist:
 105                         log.info("There is no action configured for alarm %.", alarm_id)
 106             except Exception:
 107                 log.exception("Error consuming message: ")
 108
 109     def _get_alarm_configs(self, message_content: Dict) -> List[AlarmConfig]:
 110         scaling_criterias = message_content['scaling_group_descriptor']['scaling_policy']['scaling_criteria']
 111         alarm_configs = []
 112         for criteria in scaling_criterias:
 113             metric_name = ''
 114             scale_out_threshold = criteria['scale_out_threshold']
 115             scale_in_threshold = criteria['scale_in_threshold']
 116             scale_out_operation = criteria['scale_out_relational_operation']
 117             scale_in_operation = criteria['scale_in_relational_operation']
 118             statistic = criteria['monitoring_param']['aggregation_type']
 119             vdu_name = ''
 120             vnf_member_index = ''
 121             if 'vdu_monitoring_param' in criteria['monitoring_param']:
 122                 vdu_name = criteria['monitoring_param']['vdu_monitoring_param']['vdu_name']
 123                 vnf_member_index = criteria['monitoring_param']['vdu_monitoring_param']['vnf_member_index']
 124                 metric_name = criteria['monitoring_param']['vdu_monitoring_param']['name']
 125             if 'vnf_metric' in criteria['monitoring_param']:
 126                 # TODO vnf_metric
 127                 continue
 128             if 'vdu_metric' in criteria['monitoring_param']:
 129                 # TODO vdu_metric
 130                 continue
 131             scale_out_alarm_config = AlarmConfig(metric_name,
 132                                                  vdu_name,
 133                                                  vnf_member_index,
 134                                                  scale_out_threshold,
 135                                                  scale_out_operation,
 136                                                  statistic,
 137                                                  'scale_out')
 138             scale_in_alarm_config = AlarmConfig(metric_name,
 139                                                 vdu_name,
 140                                                 vnf_member_index,
 141                                                 scale_in_threshold,
 142                                                 scale_in_operation,
 143                                                 statistic,
 144                                                 'scale_in')
 145             alarm_configs.append(scale_in_alarm_config)
 146             alarm_configs.append(scale_out_alarm_config)
 147         return alarm_configs