def get_metric_data(self,
monitor_graph: MonitorGraph,
resource: Resource,
token: str = None):
params = dict(MetricDataQueries=[
dict(Id=monitor_graph.metric_name.lower(),
MetricStat=dict(Metric=dict(
Namespace=resource.get_namespace(),
MetricName=monitor_graph.metric_name,
Dimensions=[
dict(Name=resource.get_id_name(),
Value=resource.resource_id)
]),
Period=monitor_graph.period,
Stat=monitor_graph.stat))
],
StartTime=monitor_graph.start_time,
EndTime=monitor_graph.end_time,
ScanBy="TimestampAscending",
MaxDatapoints=500)
if token:
params["NextToken"] = token
response = self.client.get_metric_data(**params)
return response
def put_metric_alarms(self, resource: Resource, topic_arn: str):
"""
アラームを設定する
一つのメトリクスに対しNARUKOで取り扱う監視レベルの数だけアラームを設定する
最も低いレベルのアラームには復旧時のトリガーを設定する
:param resource:
:param topic_arn:
:return:
"""
monitor = resource.monitors[0]
for monitor_value in monitor.monitor_values:
params = dict(
AlarmName=CloudWatch.NARUKO_ALARM_NAME.format(
resource.get_service_name(), resource.resource_id,
monitor.metric.name, monitor_value.level.name),
ActionsEnabled=monitor.enabled,
AlarmActions=[topic_arn],
MetricName=monitor.metric.name,
Namespace=resource.get_namespace(),
Statistic=monitor.statistic,
Dimensions=[
dict(Name=resource.get_id_name(),
Value=resource.resource_id)
],
Period=monitor.period,
EvaluationPeriods=1,
Threshold=monitor_value.value,
ComparisonOperator=monitor.metric.comparison_operator)
# 最も安全なレベルのアラームには復旧時の通知を設定する
if monitor_value.level.is_lowest_level():
params.update(dict(OKActions=[topic_arn]))
self.client.put_metric_alarm(**params)
def graph(self, request_user: UserModel, resource: Resource,
aws: AwsEnvironmentModel, monitor_graph: MonitorGraph):
self.logger.info("START: graph")
# 使用できるAWSアカウントか
if not request_user.has_aws_env(aws):
raise PermissionDenied(
"request user can't use aws account. user_id: {}, aws_id: {}".
format(request_user.id, aws.id))
if monitor_graph.metric_name not in resource.get_metrics():
raise ObjectDoesNotExist(
"service doesn't have metric service_type: {} metric: {}".
format(resource.get_service_name(), monitor_graph.metric_name))
# API引数をresourceから充足
monitor_graph.service_name = resource.get_namespace()
monitor_graph.dimensions.append(
dict(Name=resource.get_id_name(), Value=resource.resource_id))
monitor_graph = CloudWatch(aws,
resource.region).get_chart(monitor_graph)
self.logger.info("END: graph")
return monitor_graph