def sample_delete_detection_config(detection_config_id):
# [START delete_anomaly_detection_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_metric_anomaly_detection_configuration(detection_config_id)
try:
client.get_metric_anomaly_detection_configuration(detection_config_id)
except ResourceNotFoundError:
print("Detection configuration successfully deleted.")
def sample_get_detection_config(detection_config_id):
# [START get_anomaly_detection_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_metric_anomaly_detection_configuration(
detection_config_id)
print("Detection config name: {}".format(config.name))
print("Description: {}".format(config.description))
print("Metric ID: {}".format(config.metric_id))
print("\nDetection conditions specified for configuration...")
print("\nWhole Series Detection Conditions:\n")
conditions = config.whole_series_detection_condition
print("Use {} operator for multiple detection conditions".format(
conditions.cross_conditions_operator))
print("Smart Detection Condition:")
print("- Sensitivity: {}".format(
conditions.smart_detection_condition.sensitivity))
print("- Detection direction: {}".format(
conditions.smart_detection_condition.anomaly_detector_direction))
print(
"- Suppress conditions: minimum number: {}; minimum ratio: {}".format(
conditions.smart_detection_condition.suppress_condition.min_number,
conditions.smart_detection_condition.suppress_condition.min_ratio))
print("Hard Threshold Condition:")
print("- Lower bound: {}".format(
conditions.hard_threshold_condition.lower_bound))
print("- Upper bound: {}".format(
conditions.hard_threshold_condition.upper_bound))
print("- Detection direction: {}".format(
conditions.smart_detection_condition.anomaly_detector_direction))
print(
"- Suppress conditions: minimum number: {}; minimum ratio: {}".format(
conditions.smart_detection_condition.suppress_condition.min_number,
conditions.smart_detection_condition.suppress_condition.min_ratio))
print("Change Threshold Condition:")
print("- Change percentage: {}".format(
conditions.change_threshold_condition.change_percentage))
print("- Shift point: {}".format(
conditions.change_threshold_condition.shift_point))
print("- Detect anomaly if within range: {}".format(
conditions.change_threshold_condition.within_range))
print("- Detection direction: {}".format(
conditions.smart_detection_condition.anomaly_detector_direction))
print(
"- Suppress conditions: minimum number: {}; minimum ratio: {}".format(
conditions.smart_detection_condition.suppress_condition.min_number,
conditions.smart_detection_condition.suppress_condition.min_ratio))
