# For those usages not covered by the Apache License, Version 2.0 please
# contact: bdiaz@whitestack.com or glavado@whitestack.com
##
-import json
import logging
-import random
-import re
-import uuid
-from string import ascii_lowercase
+import multiprocessing
+import time
-from kafka import KafkaProducer, KafkaConsumer
-from n2vc.vnf import N2VC
-from prometheus_client.core import GaugeMetricFamily
+import peewee
-from osm_mon.common.common_db_client import CommonDbClient
-from osm_mon.core.settings import Config
+from osm_mon.collector.backends.prometheus import PrometheusBackend
+from osm_mon.collector.infra_collectors.openstack import OpenstackInfraCollector
+from osm_mon.collector.vnf_collectors.juju import VCACollector
+from osm_mon.collector.vnf_collectors.openstack import OpenstackCollector
+from osm_mon.collector.vnf_collectors.vmware import VMwareCollector
+from osm_mon.core.common_db import CommonDbClient
+from osm_mon.core.config import Config
+from osm_mon.core.database import DatabaseManager
log = logging.getLogger(__name__)
+VIM_COLLECTORS = {
+ "openstack": OpenstackCollector,
+ "vmware": VMwareCollector
+}
+VIM_INFRA_COLLECTORS = {
+ "openstack": OpenstackInfraCollector
+}
+METRIC_BACKENDS = [
+ PrometheusBackend
+]
-class MonCollector:
- def __init__(self):
- cfg = Config.instance()
- self.kafka_server = cfg.BROKER_URI
- self.common_db_client = CommonDbClient()
- self.n2vc = N2VC(server=cfg.OSMMON_VCA_HOST, secret=cfg.OSMMON_VCA_SECRET)
- self.producer = KafkaProducer(bootstrap_servers=self.kafka_server,
- key_serializer=str.encode,
- value_serializer=str.encode)
- self.consumer = KafkaConsumer(bootstrap_servers=self.kafka_server,
- key_deserializer=bytes.decode,
- value_deserializer=bytes.decode,
- consumer_timeout_ms=10000,
- group_id='mon-collector-' + str(uuid.uuid4()))
- self.consumer.subscribe(['metric_response'])
-
- async def collect_metrics(self):
- """
- Collects vdu metrics. These can be vim and/or n2vc metrics.
- It checks for monitoring-params or metrics inside vdu section of vnfd, then collects the metric accordingly.
- If vim related, it sends a metric read request through Kafka, to be handled by mon-proxy.
- If n2vc related, it uses the n2vc client to obtain the readings.
- :return: lists of metrics
- """
- # TODO(diazb): Remove dependencies on prometheus_client
- log.debug("collect_metrics")
- metrics = {}
- try:
- vnfrs = self.common_db_client.get_vnfrs()
- vca_model_name = 'default'
- for vnfr in vnfrs:
- nsr_id = vnfr['nsr-id-ref']
- vnfd = self.common_db_client.get_vnfd(vnfr['vnfd-id'])
- for vdur in vnfr['vdur']:
- # This avoids errors when vdur records have not been completely filled
- if 'name' not in vdur:
- continue
- vdu = next(
- filter(lambda vdu: vdu['id'] == vdur['vdu-id-ref'], vnfd['vdu'])
- )
- vnf_member_index = vnfr['member-vnf-index-ref']
- vdu_name = vdur['name']
- if 'monitoring-param' in vdu:
- for param in vdu['monitoring-param']:
- metric_name = param['nfvi-metric']
- payload = await self._generate_read_metric_payload(metric_name, nsr_id, vdu_name,
- vnf_member_index)
- self.producer.send(topic='metric_request', key='read_metric_data_request',
- value=json.dumps(payload))
- self.producer.flush()
- for message in self.consumer:
- if message.key == 'read_metric_data_response':
- content = json.loads(message.value)
- if content['correlation_id'] == payload['correlation_id']:
- if len(content['metrics_data']['metrics_series']):
- metric_reading = content['metrics_data']['metrics_series'][-1]
- if metric_name not in metrics.keys():
- metrics[metric_name] = GaugeMetricFamily(
- metric_name,
- 'OSM metric',
- labels=['ns_id', 'vnf_member_index', 'vdu_name']
- )
- metrics[metric_name].add_metric([nsr_id, vnf_member_index, vdu_name],
- metric_reading)
- break
- if 'vdu-configuration' in vdu and 'metrics' in vdu['vdu-configuration']:
- vnf_name_vca = await self._generate_vca_vdu_name(vdu_name)
- vnf_metrics = await self.n2vc.GetMetrics(vca_model_name, vnf_name_vca)
- log.debug('VNF Metrics: %s', vnf_metrics)
- for vnf_metric_list in vnf_metrics.values():
- for vnf_metric in vnf_metric_list:
- log.debug("VNF Metric: %s", vnf_metric)
- if vnf_metric['key'] not in metrics.keys():
- metrics[vnf_metric['key']] = GaugeMetricFamily(
- vnf_metric['key'],
- 'OSM metric',
- labels=['ns_id', 'vnf_member_index', 'vdu_name']
- )
- metrics[vnf_metric['key']].add_metric([nsr_id, vnf_member_index, vdu_name],
- float(vnf_metric['value']))
- log.debug("metric.values = %s", metrics.values())
- return metrics.values()
- except Exception as e:
- log.exception("Error collecting metrics")
- raise e
-
- @staticmethod
- async def _generate_vca_vdu_name(vdu_name) -> str:
- """
- Replaces all digits in vdu name for corresponding ascii characters. This is the format required by N2VC.
- :param vdu_name: Vdu name according to the vdur
- :return: Name with digits replaced with characters
- """
- vnf_name_vca = ''.join(
- ascii_lowercase[int(char)] if char.isdigit() else char for char in vdu_name)
- vnf_name_vca = re.sub(r'-[a-z]+$', '', vnf_name_vca)
- return vnf_name_vca
-
- @staticmethod
- async def _generate_read_metric_payload(metric_name, nsr_id, vdu_name, vnf_member_index) -> dict:
- """
- Builds JSON payload for asking for a metric measurement in MON. It follows the model defined in core.models.
- :param metric_name: OSM metric name (e.g.: cpu_utilization)
- :param nsr_id: NSR ID
- :param vdu_name: Vdu name according to the vdur
- :param vnf_member_index: Index of the VNF in the NS according to the vnfr
- :return: JSON payload as dict
- """
- cor_id = random.randint(1, 10e7)
- payload = {
- 'correlation_id': cor_id,
- 'metric_name': metric_name,
- 'ns_id': nsr_id,
- 'vnf_member_index': vnf_member_index,
- 'vdu_name': vdu_name,
- 'collection_period': 1,
- 'collection_unit': 'DAY',
- }
- return payload
+
+class Collector:
+ def __init__(self, config: Config):
+ self.conf = config
+ self.common_db = CommonDbClient(self.conf)
+ self.plugins = []
+ self.database_manager = DatabaseManager(self.conf)
+ self.database_manager.create_tables()
+ self.queue = multiprocessing.Queue()
+ self._init_backends()
+
+ def collect_forever(self):
+ log.debug('collect_forever')
+ while True:
+ try:
+ self.collect_metrics()
+ time.sleep(int(self.conf.get('collector', 'interval')))
+ except peewee.PeeweeException:
+ log.exception("Database error consuming message: ")
+ raise
+ except Exception:
+ log.exception("Error collecting metrics")
+
+ def _collect_vim_metrics(self, vnfr: dict, vim_account_id: str):
+ # TODO(diazb) Add support for vrops and aws
+ database_manager = DatabaseManager(self.conf)
+ vim_type = database_manager.get_vim_type(vim_account_id)
+ if vim_type in VIM_COLLECTORS:
+ collector = VIM_COLLECTORS[vim_type](self.conf, vim_account_id)
+ metrics = collector.collect(vnfr)
+ for metric in metrics:
+ self.queue.put(metric)
+ else:
+ log.debug("vimtype %s is not supported.", vim_type)
+
+ def _collect_vim_infra_metrics(self, vim_account_id: str):
+ database_manager = DatabaseManager(self.conf)
+ vim_type = database_manager.get_vim_type(vim_account_id)
+ if vim_type in VIM_INFRA_COLLECTORS:
+ collector = VIM_INFRA_COLLECTORS[vim_type](self.conf, vim_account_id)
+ metrics = collector.collect()
+ for metric in metrics:
+ self.queue.put(metric)
+ else:
+ log.debug("vimtype %s is not supported.", vim_type)
+
+ def _collect_vca_metrics(self, vnfr: dict):
+ log.debug('_collect_vca_metrics')
+ log.debug('vnfr: %s', vnfr)
+ vca_collector = VCACollector(self.conf)
+ metrics = vca_collector.collect(vnfr)
+ for metric in metrics:
+ self.queue.put(metric)
+
+ def collect_metrics(self):
+ vnfrs = self.common_db.get_vnfrs()
+ processes = []
+ for vnfr in vnfrs:
+ nsr_id = vnfr['nsr-id-ref']
+ vnf_member_index = vnfr['member-vnf-index-ref']
+ vim_account_id = self.common_db.get_vim_account_id(nsr_id, vnf_member_index)
+ p = multiprocessing.Process(target=self._collect_vim_metrics,
+ args=(vnfr, vim_account_id))
+ processes.append(p)
+ p.start()
+ p = multiprocessing.Process(target=self._collect_vca_metrics,
+ args=(vnfr,))
+ processes.append(p)
+ p.start()
+ vims = self.common_db.get_vim_accounts()
+ for vim in vims:
+ p = multiprocessing.Process(target=self._collect_vim_infra_metrics,
+ args=(vim['_id'],))
+ processes.append(p)
+ p.start()
+ for process in processes:
+ process.join(timeout=10)
+ metrics = []
+ while not self.queue.empty():
+ metrics.append(self.queue.get())
+ for plugin in self.plugins:
+ plugin.handle(metrics)
+
+ def _init_backends(self):
+ for backend in METRIC_BACKENDS:
+ self.plugins.append(backend())
projects / osm / MON.git / blobdiff