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alarm.ts
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import { ArnFormat, Lazy, Stack, Token } from '@aws-cdk/core';
import { Construct } from 'constructs';
import { IAlarmAction } from './alarm-action';
import { AlarmBase, IAlarm } from './alarm-base';
import { CfnAlarm, CfnAlarmProps } from './cloudwatch.generated';
import { HorizontalAnnotation } from './graph';
import { CreateAlarmOptions } from './metric';
import { IMetric, MetricExpressionConfig, MetricStatConfig } from './metric-types';
import { dispatchMetric, metricPeriod } from './private/metric-util';
import { dropUndefined } from './private/object';
import { MetricSet } from './private/rendering';
import { parseStatistic } from './private/statistic';
/**
* Properties for Alarms
*/
export interface AlarmProps extends CreateAlarmOptions {
/**
* The metric to add the alarm on
*
* Metric objects can be obtained from most resources, or you can construct
* custom Metric objects by instantiating one.
*/
readonly metric: IMetric;
}
/**
* Comparison operator for evaluating alarms
*/
export enum ComparisonOperator {
/**
* Specified statistic is greater than or equal to the threshold
*/
GREATER_THAN_OR_EQUAL_TO_THRESHOLD = 'GreaterThanOrEqualToThreshold',
/**
* Specified statistic is strictly greater than the threshold
*/
GREATER_THAN_THRESHOLD = 'GreaterThanThreshold',
/**
* Specified statistic is strictly less than the threshold
*/
LESS_THAN_THRESHOLD = 'LessThanThreshold',
/**
* Specified statistic is less than or equal to the threshold.
*/
LESS_THAN_OR_EQUAL_TO_THRESHOLD = 'LessThanOrEqualToThreshold',
/**
* Specified statistic is lower than or greater than the anomaly model band.
* Used only for alarms based on anomaly detection models
*/
LESS_THAN_LOWER_OR_GREATER_THAN_UPPER_THRESHOLD = 'LessThanLowerOrGreaterThanUpperThreshold',
/**
* Specified statistic is greater than the anomaly model band.
* Used only for alarms based on anomaly detection models
*/
GREATER_THAN_UPPER_THRESHOLD = 'GreaterThanUpperThreshold',
/**
* Specified statistic is lower than the anomaly model band.
* Used only for alarms based on anomaly detection models
*/
LESS_THAN_LOWER_THRESHOLD = 'LessThanLowerThreshold',
}
const OPERATOR_SYMBOLS: {[key: string]: string} = {
GreaterThanOrEqualToThreshold: '>=',
GreaterThanThreshold: '>',
LessThanThreshold: '<',
LessThanOrEqualToThreshold: '<=',
};
/**
* Specify how missing data points are treated during alarm evaluation
*/
export enum TreatMissingData {
/**
* Missing data points are treated as breaching the threshold
*/
BREACHING = 'breaching',
/**
* Missing data points are treated as being within the threshold
*/
NOT_BREACHING = 'notBreaching',
/**
* The current alarm state is maintained
*/
IGNORE = 'ignore',
/**
* The alarm does not consider missing data points when evaluating whether to change state
*/
MISSING = 'missing'
}
/**
* An alarm on a CloudWatch metric
*/
export class Alarm extends AlarmBase {
/**
* Import an existing CloudWatch alarm provided an ARN
*
* @param scope The parent creating construct (usually `this`).
* @param id The construct's name
* @param alarmArn Alarm ARN (i.e. arn:aws:cloudwatch:<region>:<account-id>:alarm:Foo)
*/
public static fromAlarmArn(scope: Construct, id: string, alarmArn: string): IAlarm {
class Import extends AlarmBase implements IAlarm {
public readonly alarmArn = alarmArn;
public readonly alarmName = Stack.of(scope).splitArn(alarmArn, ArnFormat.COLON_RESOURCE_NAME).resourceName!;
}
return new Import(scope, id);
}
/**
* ARN of this alarm
*
* @attribute
*/
public readonly alarmArn: string;
/**
* Name of this alarm.
*
* @attribute
*/
public readonly alarmName: string;
/**
* The metric object this alarm was based on
*/
public readonly metric: IMetric;
/**
* This metric as an annotation
*/
private readonly annotation: HorizontalAnnotation;
constructor(scope: Construct, id: string, props: AlarmProps) {
super(scope, id, {
physicalName: props.alarmName,
});
const comparisonOperator = props.comparisonOperator || ComparisonOperator.GREATER_THAN_OR_EQUAL_TO_THRESHOLD;
// Render metric, process potential overrides from the alarm
// (It would be preferable if the statistic etc. was worked into the metric,
// but hey we're allowing overrides...)
const metricProps: Writeable<Partial<CfnAlarmProps>> = this.renderMetric(props.metric);
if (props.period) {
metricProps.period = props.period.toSeconds();
}
if (props.statistic) {
// Will overwrite both fields if present
Object.assign(metricProps, {
statistic: renderIfSimpleStatistic(props.statistic),
extendedStatistic: renderIfExtendedStatistic(props.statistic),
});
}
const alarm = new CfnAlarm(this, 'Resource', {
// Meta
alarmDescription: props.alarmDescription,
alarmName: this.physicalName,
// Evaluation
comparisonOperator,
threshold: props.threshold,
datapointsToAlarm: props.datapointsToAlarm,
evaluateLowSampleCountPercentile: props.evaluateLowSampleCountPercentile,
evaluationPeriods: props.evaluationPeriods,
treatMissingData: props.treatMissingData,
// Actions
actionsEnabled: props.actionsEnabled,
alarmActions: Lazy.list({ produce: () => this.alarmActionArns }),
insufficientDataActions: Lazy.list({ produce: (() => this.insufficientDataActionArns) }),
okActions: Lazy.list({ produce: () => this.okActionArns }),
// Metric
...metricProps,
});
this.alarmArn = this.getResourceArnAttribute(alarm.attrArn, {
service: 'cloudwatch',
resource: 'alarm',
resourceName: this.physicalName,
arnFormat: ArnFormat.COLON_RESOURCE_NAME,
});
this.alarmName = this.getResourceNameAttribute(alarm.ref);
this.metric = props.metric;
const datapoints = props.datapointsToAlarm || props.evaluationPeriods;
this.annotation = {
// eslint-disable-next-line max-len
label: `${this.metric} ${OPERATOR_SYMBOLS[comparisonOperator]} ${props.threshold} for ${datapoints} datapoints within ${describePeriod(props.evaluationPeriods * metricPeriod(props.metric).toSeconds())}`,
value: props.threshold,
};
}
/**
* Turn this alarm into a horizontal annotation
*
* This is useful if you want to represent an Alarm in a non-AlarmWidget.
* An `AlarmWidget` can directly show an alarm, but it can only show a
* single alarm and no other metrics. Instead, you can convert the alarm to
* a HorizontalAnnotation and add it as an annotation to another graph.
*
* This might be useful if:
*
* - You want to show multiple alarms inside a single graph, for example if
* you have both a "small margin/long period" alarm as well as a
* "large margin/short period" alarm.
*
* - You want to show an Alarm line in a graph with multiple metrics in it.
*/
public toAnnotation(): HorizontalAnnotation {
return this.annotation;
}
/**
* Trigger this action if the alarm fires
*
* Typically the ARN of an SNS topic or ARN of an AutoScaling policy.
*/
public addAlarmAction(...actions: IAlarmAction[]) {
if (this.alarmActionArns === undefined) {
this.alarmActionArns = [];
}
this.alarmActionArns.push(...actions.map(a =>
this.validateActionArn(a.bind(this, this).alarmActionArn),
));
}
private validateActionArn(actionArn: string): string {
const ec2ActionsRegexp: RegExp = /arn:aws:automate:[a-z|\d|-]+:ec2:[a-z]+/;
if (ec2ActionsRegexp.test(actionArn)) {
// Check per-instance metric
const metricConfig = this.metric.toMetricConfig();
if (metricConfig.metricStat?.dimensions?.length != 1 || metricConfig.metricStat?.dimensions![0].name != 'InstanceId') {
throw new Error(`EC2 alarm actions requires an EC2 Per-Instance Metric. (${JSON.stringify(metricConfig)} does not have an 'InstanceId' dimension)`);
}
}
return actionArn;
}
private renderMetric(metric: IMetric) {
const self = this;
return dispatchMetric(metric, {
withStat(stat, conf) {
self.validateMetricStat(stat, metric);
const canRenderAsLegacyMetric = conf.renderingProperties?.label == undefined && !self.requiresAccountId(stat);
// Do this to disturb existing templates as little as possible
if (canRenderAsLegacyMetric) {
return dropUndefined({
dimensions: stat.dimensions,
namespace: stat.namespace,
metricName: stat.metricName,
period: stat.period?.toSeconds(),
statistic: renderIfSimpleStatistic(stat.statistic),
extendedStatistic: renderIfExtendedStatistic(stat.statistic),
unit: stat.unitFilter,
});
}
return {
metrics: [
{
metricStat: {
metric: {
metricName: stat.metricName,
namespace: stat.namespace,
dimensions: stat.dimensions,
},
period: stat.period.toSeconds(),
stat: stat.statistic,
unit: stat.unitFilter,
},
id: 'm1',
accountId: self.requiresAccountId(stat) ? stat.account : undefined,
label: conf.renderingProperties?.label,
returnData: true,
} as CfnAlarm.MetricDataQueryProperty,
],
};
},
withExpression() {
// Expand the math expression metric into a set
const mset = new MetricSet<boolean>();
mset.addTopLevel(true, metric);
let eid = 0;
function uniqueMetricId() {
return `expr_${++eid}`;
}
return {
metrics: mset.entries.map(entry => dispatchMetric(entry.metric, {
withStat(stat, conf) {
self.validateMetricStat(stat, entry.metric);
return {
metricStat: {
metric: {
metricName: stat.metricName,
namespace: stat.namespace,
dimensions: stat.dimensions,
},
period: stat.period.toSeconds(),
stat: stat.statistic,
unit: stat.unitFilter,
},
id: entry.id || uniqueMetricId(),
accountId: self.requiresAccountId(stat) ? stat.account : undefined,
label: conf.renderingProperties?.label,
returnData: entry.tag ? undefined : false, // entry.tag evaluates to true if the metric is the math expression the alarm is based on.
};
},
withExpression(expr, conf) {
const hasSubmetrics = mathExprHasSubmetrics(expr);
if (hasSubmetrics) {
assertSubmetricsCount(expr);
}
self.validateMetricExpression(expr);
return {
expression: expr.expression,
id: entry.id || uniqueMetricId(),
label: conf.renderingProperties?.label,
period: hasSubmetrics ? undefined : expr.period,
returnData: entry.tag ? undefined : false, // entry.tag evaluates to true if the metric is the math expression the alarm is based on.
};
},
}) as CfnAlarm.MetricDataQueryProperty),
};
},
});
}
/**
* Validate that if a region is in the given stat config, they match the Alarm
*/
private validateMetricStat(stat: MetricStatConfig, metric: IMetric) {
const stack = Stack.of(this);
if (definitelyDifferent(stat.region, stack.region)) {
throw new Error(`Cannot create an Alarm in region '${stack.region}' based on metric '${metric}' in '${stat.region}'`);
}
}
/**
* Validates that the expression config does not specify searchAccount or searchRegion props
* as search expressions are not supported by Alarms.
*/
private validateMetricExpression(expr: MetricExpressionConfig) {
if (expr.searchAccount !== undefined || expr.searchRegion !== undefined) {
throw new Error('Cannot create an Alarm based on a MathExpression which specifies a searchAccount or searchRegion');
}
}
/**
* Determine if the accountId property should be included in the metric.
*/
private requiresAccountId(stat: MetricStatConfig): boolean {
const stackAccount = Stack.of(this).account;
// if stat.account is undefined, it's by definition in the same account
if (stat.account === undefined) {
return false;
}
// Return true if they're different. The ACCOUNT_ID token is interned
// so will always have the same string value (and even if we guess wrong
// it will still work).
return stackAccount !== stat.account;
}
}
function definitelyDifferent(x: string | undefined, y: string) {
return x && !Token.isUnresolved(y) && x !== y;
}
/**
* Return a human readable string for this period
*
* We know the seconds are always one of a handful of allowed values.
*/
function describePeriod(seconds: number) {
if (seconds === 60) { return '1 minute'; }
if (seconds === 1) { return '1 second'; }
if (seconds > 60) { return (seconds / 60) + ' minutes'; }
return seconds + ' seconds';
}
function renderIfSimpleStatistic(statistic?: string): string | undefined {
if (statistic === undefined) { return undefined; }
const parsed = parseStatistic(statistic);
if (parsed.type === 'simple') {
return parsed.statistic;
}
return undefined;
}
function renderIfExtendedStatistic(statistic?: string): string | undefined {
if (statistic === undefined) { return undefined; }
const parsed = parseStatistic(statistic);
if (parsed.type === 'percentile') {
// Already percentile. Avoid parsing because we might get into
// floating point rounding issues, return as-is but lowercase the p.
return statistic.toLowerCase();
} else if (parsed.type === 'generic') {
return statistic;
}
return undefined;
}
function mathExprHasSubmetrics(expr: MetricExpressionConfig) {
return Object.keys(expr.usingMetrics).length > 0;
}
function assertSubmetricsCount(expr: MetricExpressionConfig) {
if (Object.keys(expr.usingMetrics).length > 10) {
// https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/AlarmThatSendsEmail.html#alarms-on-metric-math-expressions
throw new Error('Alarms on math expressions cannot contain more than 10 individual metrics');
};
}
type Writeable<T> = { -readonly [P in keyof T]: T[P] };