async def _create_alert_config_for_update(self, name):
try:
detection_config, data_feed = await self._create_data_feed_and_detection_config(name)
alert_config_name = create_random_name(name)
alert_config = await 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
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 = 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
async def sample_create_alert_config_async():
# [START create_alert_config_async]
from azure.ai.metricsadvisor import MetricsAdvisorKeyCredential
from azure.ai.metricsadvisor.aio import MetricsAdvisorAdministrationClient
from azure.ai.metricsadvisor.models import (
MetricAlertConfiguration,
MetricAnomalyAlertScope,
TopNGroupScope,
MetricAnomalyAlertConditions,
SeverityCondition,
MetricBoundaryCondition,
MetricAnomalyAlertSnoozeCondition,
)
service_endpoint = os.getenv("METRICS_ADVISOR_ENDPOINT")
subscription_key = os.getenv("METRICS_ADVISOR_SUBSCRIPTION_KEY")
api_key = os.getenv("METRICS_ADVISOR_API_KEY")
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))
async with client:
alert_config = await client.create_alert_configuration(
name="my alert config",
description="alert config description",
cross_metrics_operator="AND",
metric_alert_configurations=[
MetricAlertConfiguration(
detection_configuration_id=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=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])
return alert_config
async def sample_update_alert_config_async(alert_config):
# [START update_anomaly_alert_config_async]
from azure.ai.metricsadvisor import MetricsAdvisorKeyCredential
from azure.ai.metricsadvisor.aio import MetricsAdvisorAdministrationClient
from azure.ai.metricsadvisor.models import (
MetricAlertConfiguration,
MetricAnomalyAlertScope,
MetricAnomalyAlertConditions,
MetricBoundaryCondition
)
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")
client = MetricsAdvisorAdministrationClient(service_endpoint,
MetricsAdvisorKeyCredential(subscription_key, api_key))
alert_config.name = "updated config name"
additional_alert = MetricAlertConfiguration(
detection_configuration_id=anomaly_detection_configuration_id,
alert_scope=MetricAnomalyAlertScope(
scope_type="SeriesGroup",
series_group_in_scope={'city': 'Shenzhen'}
),
alert_conditions=MetricAnomalyAlertConditions(
metric_boundary_condition=MetricBoundaryCondition(
direction="Down",
lower=5
)
)
)
alert_config.metric_alert_configurations.append(additional_alert)
async with client:
updated = await client.update_anomaly_alert_configuration(
alert_config,
cross_metrics_operator="OR",
description="updated alert config"
)
print("Updated alert name: {}".format(updated.name))
print("Updated alert description: {}".format(updated.description))
print("Updated cross metrics operator: {}".format(updated.cross_metrics_operator))
print("Updated alert condition configuration scope type: {}".format(
updated.metric_alert_configurations[2].alert_scope.scope_type
))