Compartir a través de


MetricAnomalyAlertScope Class

  • java.lang.Object
    • com.azure.ai.metricsadvisor.administration.models.MetricAnomalyAlertScope

public final class MetricAnomalyAlertScope

Defines scope for anomaly alert. An alert can be scoped to whole series of a metric, a specific time series group of a metric or a metric TopN time series.

Method Summary

Modifier and Type Method and Description
static MetricAnomalyAlertScope forSeriesGroup(DimensionKey seriesGroupId)

Creates an MetricAnomalyAlertScope indicating that alert should be generated when anomalies are detected in a specific time series group of a metric.

static MetricAnomalyAlertScope forTopNGroup(TopNGroupScope topNGroup)

Creates an MetricAnomalyAlertScope based on TopN scope.

static MetricAnomalyAlertScope forTopNGroup(int top, int period, int minTopCount)

Creates an MetricAnomalyAlertScope based on TopN scoping rule.

static MetricAnomalyAlertScope forWholeSeries()

Creates an MetricAnomalyAlertScope indicating that alert should be generated when anomalies are detected in any of the time series of a metric.

MetricAnomalyAlertScopeType getScopeType()

Gets the scope type.

DimensionKey getSeriesGroupInScope()

Gets the id of the time series group if alert is scoped to that group.

TopNGroupScope getTopNGroupInScope()

Gets the TopN scope value if alert is scoped to TopN time series.

Methods inherited from java.lang.Object

Method Details

forSeriesGroup

public static MetricAnomalyAlertScope forSeriesGroup(DimensionKey seriesGroupId)

Creates an MetricAnomalyAlertScope indicating that alert should be generated when anomalies are detected in a specific time series group of a metric.

Parameters:

seriesGroupId - the specific series keys.

Returns:

The MetricAnomalyAlertScope.

forTopNGroup

public static MetricAnomalyAlertScope forTopNGroup(TopNGroupScope topNGroup)

Creates an MetricAnomalyAlertScope based on TopN scope. The TopN defines scope based on ranking of anomaly in data-sets. The computation of TopN scope consists of 3 parameters, top, period and minTopCount. the top defines the top rank for anomalies, period defines the number of latest data-set to consider for ranking and minTopCount indicate that an alert should be generated when rank of minTopCount data-sets are in top.

Parameters:

topNGroup - Defines the top, period and minTopCount values.

Returns:

The MetricAnomalyAlertScope.

forTopNGroup

public static MetricAnomalyAlertScope forTopNGroup(int top, int period, int minTopCount)

Creates an MetricAnomalyAlertScope based on TopN scoping rule.

Parameters:

top - Defines the top rank for anomalies, An alert is generated when rank of minTopCount data-sets are in top.
period - The number of latest data-set to consider for ranking. One data-set consists of data-points with the same timestamp across multiple time series, i.e, one data-point from one time-series.
minTopCount - The anomalies occurred in the period data-sets are ranked, An alert is generated when rank of minTopCount data-sets are in top.

Returns:

The MetricAnomalyAlertScope.

forWholeSeries

public static MetricAnomalyAlertScope forWholeSeries()

Creates an MetricAnomalyAlertScope indicating that alert should be generated when anomalies are detected in any of the time series of a metric.

Returns:

The MetricAnomalyAlertScope.

getScopeType

public MetricAnomalyAlertScopeType getScopeType()

Gets the scope type.

Returns:

The scope type.

getSeriesGroupInScope

public DimensionKey getSeriesGroupInScope()

Gets the id of the time series group if alert is scoped to that group.

Returns:

The time series group id.

getTopNGroupInScope

public TopNGroupScope getTopNGroupInScope()

Gets the TopN scope value if alert is scoped to TopN time series.

Returns:

The TopN scope value.

Applies to