def sample_get_alert_config(alert_config_id):
# [START get_alert_config]
from azure.ai.metricsadvisor import MetricsAdvisorKeyCredential, MetricsAdvisorAdministrationClient
service_endpoint = os.getenv("METRICS_ADVISOR_ENDPOINT")
subscription_key = os.getenv("METRICS_ADVISOR_SUBSCRIPTION_KEY")
api_key = os.getenv("METRICS_ADVISOR_API_KEY")
client = MetricsAdvisorAdministrationClient(
service_endpoint, MetricsAdvisorKeyCredential(subscription_key,
api_key))
config = client.get_alert_configuration(alert_config_id)
print("Alert config ID: {}".format(config.id))
print("Alert config name: {}".format(config.name))
print("Description: {}".format(config.description))
print("Ids of hooks associated with alert: {}".format(config.hook_ids))
print("Use {} operator for multiple alert conditions\n".format(
config.cross_metrics_operator))
print("Alert uses detection configuration ID: {}".format(
config.metric_alert_configurations[0].detection_configuration_id))
print("Alert scope type: {}".format(
config.metric_alert_configurations[0].alert_scope.scope_type))
print("Alert severity condition: min- {}, max- {}".format(
config.metric_alert_configurations[0].alert_conditions.
severity_condition.min_alert_severity,
config.metric_alert_configurations[0].alert_conditions.
severity_condition.max_alert_severity,
))
print("\nAlert uses detection configuration ID: {}".format(
config.metric_alert_configurations[1].detection_configuration_id))
print("Alert scope type: {}".format(
config.metric_alert_configurations[1].alert_scope.scope_type))
print("Top N: {}".format(config.metric_alert_configurations[1].alert_scope.
top_n_group_in_scope.top))
print("Point count used to look back: {}".format(
config.metric_alert_configurations[1].alert_scope.top_n_group_in_scope.
period))
print("Min top count: {}".format(
config.metric_alert_configurations[1].alert_scope.top_n_group_in_scope.
min_top_count))
print("Alert metric boundary condition direction: {}, upper bound: {}".
format(
config.metric_alert_configurations[1].alert_conditions.
metric_boundary_condition.direction,
config.metric_alert_configurations[1].alert_conditions.
metric_boundary_condition.upper,
))
print("Alert snooze condition, snooze point count: {}".format(
config.metric_alert_configurations[1].alert_snooze_condition.
auto_snooze, ))
print("Alert snooze scope: {}".format(
config.metric_alert_configurations[1].alert_snooze_condition.
snooze_scope, ))
print("Snooze only for successive anomalies?: {}".format(
config.metric_alert_configurations[1].alert_snooze_condition.
only_for_successive, ))
def sample_delete_alert_config(alert_config_id):
# [START delete_alert_config]
from azure.core.exceptions import ResourceNotFoundError
from azure.ai.metricsadvisor import MetricsAdvisorKeyCredential, MetricsAdvisorAdministrationClient
service_endpoint = os.getenv("METRICS_ADVISOR_ENDPOINT")
subscription_key = os.getenv("METRICS_ADVISOR_SUBSCRIPTION_KEY")
api_key = os.getenv("METRICS_ADVISOR_API_KEY")
client = MetricsAdvisorAdministrationClient(service_endpoint,
MetricsAdvisorKeyCredential(subscription_key, api_key))
client.delete_alert_configuration(alert_config_id)
try:
client.get_alert_configuration(alert_config_id)
except ResourceNotFoundError:
print("Alert configuration successfully deleted.")
def sample_update_alert_config(alert_config):
# [START update_alert_config]
from azure.ai.metricsadvisor import MetricsAdvisorKeyCredential, 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")
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=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)
client.update_alert_configuration(alert_config,
cross_metrics_operator="OR",
description="updated alert config")
updated = client.get_alert_configuration(alert_config.id)
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))
