com.pulumi.azure.monitoring.kotlin.outputs.MetricAlertCriteria.kt Maven / Gradle / Ivy

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Build cloud applications and infrastructure by combining the safety and reliability of infrastructure as code with the power of the Kotlin programming language.

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@file:Suppress("NAME_SHADOWING", "DEPRECATION")

package com.pulumi.azure.monitoring.kotlin.outputs

import kotlin.Boolean
import kotlin.Double
import kotlin.String
import kotlin.Suppress
import kotlin.collections.List

/**
 *
 * @property aggregation The statistic that runs over the metric values. Possible values are `Average`, `Count`, `Minimum`, `Maximum` and `Total`.
 * @property dimensions One or more `dimension` blocks as defined below.
 * @property metricName One of the metric names to be monitored.
 * @property metricNamespace One of the metric namespaces to be monitored.
 * @property operator The criteria operator. Possible values are `Equals`, `GreaterThan`, `GreaterThanOrEqual`, `LessThan` and `LessThanOrEqual`.
 * @property skipMetricValidation Skip the metric validation to allow creating an alert rule on a custom metric that isn't yet emitted? Defaults to `false`.
 * @property threshold The criteria threshold value that activates the alert.
 */
public data class MetricAlertCriteria(
    public val aggregation: String,
    public val dimensions: List? = null,
    public val metricName: String,
    public val metricNamespace: String,
    public val `operator`: String,
    public val skipMetricValidation: Boolean? = null,
    public val threshold: Double,
) {
    public companion object {
        public fun toKotlin(javaType: com.pulumi.azure.monitoring.outputs.MetricAlertCriteria): MetricAlertCriteria = MetricAlertCriteria(
            aggregation = javaType.aggregation(),
            dimensions = javaType.dimensions().map({ args0 ->
                args0.let({ args0 ->
                    com.pulumi.azure.monitoring.kotlin.outputs.MetricAlertCriteriaDimension.Companion.toKotlin(args0)
                })
            }),
            metricName = javaType.metricName(),
            metricNamespace = javaType.metricNamespace(),
            `operator` = javaType.`operator`(),
            skipMetricValidation = javaType.skipMetricValidation().map({ args0 -> args0 }).orElse(null),
            threshold = javaType.threshold(),
        )
    }
}