# 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 uuid
+import time
-from n2vc.vnf import N2VC
-from prometheus_client.core import GaugeMetricFamily
-
-from osm_mon.common.common_db_client import CommonDbClient
-from osm_mon.core.message_bus.consumer import Consumer
-from osm_mon.core.message_bus.producer import Producer
-from osm_mon.core.settings import Config
+from osm_mon.collector.backends.prometheus import PrometheusBackend
+from osm_mon.collector.service import CollectorService
+from osm_mon.core.config import Config
log = logging.getLogger(__name__)
-
-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, user=cfg.OSMMON_VCA_USER, secret=cfg.OSMMON_VCA_SECRET)
- self.producer_timeout = 5
-
- 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")
- producer = Producer()
- consumer = Consumer('mon-collector-' + str(uuid.uuid4()),
- consumer_timeout_ms=10000,
- enable_auto_commit=False)
- consumer.subscribe(['metric_response'])
- metrics = {}
- vnfrs = self.common_db_client.get_vnfrs()
- vca_model_name = 'default'
- for vnfr in vnfrs:
- nsr_id = vnfr['nsr-id-ref']
- nsr = self.common_db_client.get_nsr(nsr_id)
- 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 = self._generate_read_metric_payload(metric_name,
- nsr_id,
- vdu_name,
- vnf_member_index)
- producer.send(topic='metric_request', key='read_metric_data_request',
- value=json.dumps(payload))
- producer.flush(self.producer_timeout)
- for message in consumer:
- if message.key == 'read_metric_data_response':
- content = json.loads(message.value)
- if content['correlation_id'] == payload['correlation_id']:
- log.debug("Found read_metric_data_response with same 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 = self.n2vc.FormatApplicationName(nsr['name'], vnf_member_index, vdur['vdu-id-ref'])
- 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']))
- consumer.close()
- producer.close(self.producer_timeout)
- log.debug("metric.values = %s", metrics.values())
- return metrics.values()
-
- @staticmethod
- 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
+METRIC_BACKENDS = [PrometheusBackend]
+
+
+class Collector:
+ def __init__(self, config: Config):
+ self.conf = config
+ self.service = CollectorService(config)
+ self.backends = []
+ 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 Exception:
+ log.exception("Error collecting metrics")
+
+ def collect_metrics(self):
+ metrics = self.service.collect_metrics()
+ for backend in self.backends:
+ backend.handle(metrics)
+
+ def _init_backends(self):
+ for backend in METRIC_BACKENDS:
+ self.backends.append(backend())
projects / osm / MON.git / blobdiff