def sample_create_alert_config():
# [START create_anomaly_alert_config]
from azure.ai.metricsadvisor import MetricsAdvisorKeyCredential, MetricsAdvisorAdministrationClient
from azure.ai.metricsadvisor.models import (
MetricAlertConfiguration, MetricAnomalyAlertScope, TopNGroupScope,
MetricAnomalyAlertConditions, SeverityCondition,
MetricBoundaryCondition, MetricAnomalyAlertSnoozeCondition,
AnomalyAlertConfiguration)
service_endpoint = os.getenv("METRICS_ADVISOR_ENDPOINT")
subscription_key = os.getenv("METRICS_ADVISOR_SUBSCRIPTION_KEY")
api_key = os.getenv("METRICS_ADVISOR_API_KEY")
anomaly_detection_configuration_id = os.getenv(
"METRICS_ADVISOR_DETECTION_CONFIGURATION_ID")
hook_id = os.getenv("METRICS_ADVISOR_HOOK_ID")
client = MetricsAdvisorAdministrationClient(
service_endpoint, MetricsAdvisorKeyCredential(subscription_key,
api_key))
anomaly_alert_configuration = AnomalyAlertConfiguration(
name="my alert config",
description="alert config description",
cross_metrics_operator="AND",
metric_alert_configurations=[
MetricAlertConfiguration(
detection_configuration_id=anomaly_detection_configuration_id,
alert_scope=MetricAnomalyAlertScope(scope_type="WholeSeries"),
alert_conditions=MetricAnomalyAlertConditions(
severity_condition=SeverityCondition(
min_alert_severity="Low", max_alert_severity="High"))),
MetricAlertConfiguration(
detection_configuration_id=anomaly_detection_configuration_id,
alert_scope=MetricAnomalyAlertScope(
scope_type="TopN",
top_n_group_in_scope=TopNGroupScope(top=10,
period=5,
min_top_count=5)),
alert_conditions=MetricAnomalyAlertConditions(
metric_boundary_condition=MetricBoundaryCondition(
direction="Up", upper=50)),
alert_snooze_condition=MetricAnomalyAlertSnoozeCondition(
auto_snooze=2,
snooze_scope="Metric",
only_for_successive=True)),
],
hook_ids=[hook_id])
alert_config = client.create_anomaly_alert_configuration(
anomaly_alert_configuration)
return alert_config
async def create_alert_config(self, name):
alert_config_name = self.create_random_name(name)
if is_live():
self.variables["alert_config_name"] = alert_config_name
alert_config = await self.client.create_alert_configuration(
name=self.variables["alert_config_name"],
cross_metrics_operator="AND",
metric_alert_configurations=[
MetricAlertConfiguration(
detection_configuration_id=self.
variables["detection_config_id"],
alert_scope=MetricAnomalyAlertScope(
scope_type="TopN",
top_n_group_in_scope=TopNGroupScope(top=5,
period=10,
min_top_count=9)),
alert_conditions=MetricAnomalyAlertConditions(
metric_boundary_condition=MetricBoundaryCondition(
direction="Both",
companion_metric_id=self.
variables["data_feed_metric_id"],
lower=1.0,
upper=5.0))),
MetricAlertConfiguration(
detection_configuration_id=self.
variables["detection_config_id"],
alert_scope=MetricAnomalyAlertScope(
scope_type="SeriesGroup",
series_group_in_scope={'region': 'Beijing'}),
alert_conditions=MetricAnomalyAlertConditions(
severity_condition=SeverityCondition(
min_alert_severity="Low",
max_alert_severity="High"))),
MetricAlertConfiguration(
detection_configuration_id=self.
variables["detection_config_id"],
alert_scope=MetricAnomalyAlertScope(
scope_type="WholeSeries"),
alert_conditions=MetricAnomalyAlertConditions(
severity_condition=SeverityCondition(
min_alert_severity="Low",
max_alert_severity="High")))
],
hook_ids=[])
if is_live():
self.variables["alert_config_id"] = alert_config.id
return alert_config
def _create_alert_config_for_update(self, name):
try:
detection_config, data_feed = self._create_data_feed_and_detection_config(
name)
alert_config_name = create_random_name(name)
alert_config = self.admin_client.create_alert_configuration(
name=alert_config_name,
cross_metrics_operator="AND",
metric_alert_configurations=[
MetricAlertConfiguration(
detection_configuration_id=detection_config.id,
alert_scope=MetricAnomalyAlertScope(
scope_type="TopN",
top_n_group_in_scope=TopNGroupScope(
top=5, period=10, min_top_count=9)),
alert_conditions=MetricAnomalyAlertConditions(
metric_boundary_condition=MetricBoundaryCondition(
direction="Both",
companion_metric_id=data_feed.
metric_ids['cost'],
lower=1.0,
upper=5.0))),
MetricAlertConfiguration(
detection_configuration_id=detection_config.id,
alert_scope=MetricAnomalyAlertScope(
scope_type="SeriesGroup",
series_group_in_scope={'city': 'Shenzhen'}),
alert_conditions=MetricAnomalyAlertConditions(
severity_condition=SeverityCondition(
min_alert_severity="Low",
max_alert_severity="High"))),
MetricAlertConfiguration(
detection_configuration_id=detection_config.id,
alert_scope=MetricAnomalyAlertScope(
scope_type="WholeSeries"),
alert_conditions=MetricAnomalyAlertConditions(
severity_condition=SeverityCondition(
min_alert_severity="Low",
max_alert_severity="High")))
],
hook_ids=[])
return alert_config, data_feed, detection_config
except Exception as e:
self.admin_client.delete_data_feed(data_feed.id)
raise e
