com.pulumi.gcp.monitoring.kotlin.inputs.SloRequestBasedSliArgs.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.gcp.monitoring.kotlin.inputs

import com.pulumi.core.Output
import com.pulumi.core.Output.of
import com.pulumi.gcp.monitoring.inputs.SloRequestBasedSliArgs.builder
import com.pulumi.kotlin.ConvertibleToJava
import com.pulumi.kotlin.PulumiTagMarker
import com.pulumi.kotlin.applySuspend
import kotlin.Suppress
import kotlin.Unit
import kotlin.jvm.JvmName

/**
 *
 * @property distributionCut Used when good_service is defined by a count of values aggregated in a
 * Distribution that fall into a good range. The total_service is the
 * total count of all values aggregated in the Distribution.
 * Defines a distribution TimeSeries filter and thresholds used for
 * measuring good service and total service.
 * Exactly one of `distribution_cut` or `good_total_ratio` can be set.
 * Structure is documented below.
 * @property goodTotalRatio A means to compute a ratio of `good_service` to `total_service`.
 * Defines computing this ratio with two TimeSeries [monitoring filters](https://cloud.google.com/monitoring/api/v3/filters)
 * Must specify exactly two of good, bad, and total service filters.
 * The relationship good_service + bad_service = total_service
 * will be assumed.
 * Exactly one of `distribution_cut` or `good_total_ratio` can be set.
 * Structure is documented below.
 */
public data class SloRequestBasedSliArgs(
    public val distributionCut: Output? = null,
    public val goodTotalRatio: Output? = null,
) : ConvertibleToJava {
    override fun toJava(): com.pulumi.gcp.monitoring.inputs.SloRequestBasedSliArgs =
        com.pulumi.gcp.monitoring.inputs.SloRequestBasedSliArgs.builder()
            .distributionCut(distributionCut?.applyValue({ args0 -> args0.let({ args0 -> args0.toJava() }) }))
            .goodTotalRatio(
                goodTotalRatio?.applyValue({ args0 ->
                    args0.let({ args0 ->
                        args0.toJava()
                    })
                }),
            ).build()
}

/**
 * Builder for [SloRequestBasedSliArgs].
 */
@PulumiTagMarker
public class SloRequestBasedSliArgsBuilder internal constructor() {
    private var distributionCut: Output? = null

    private var goodTotalRatio: Output? = null

    /**
     * @param value Used when good_service is defined by a count of values aggregated in a
     * Distribution that fall into a good range. The total_service is the
     * total count of all values aggregated in the Distribution.
     * Defines a distribution TimeSeries filter and thresholds used for
     * measuring good service and total service.
     * Exactly one of `distribution_cut` or `good_total_ratio` can be set.
     * Structure is documented below.
     */
    @JvmName("bssyyhknguquqfic")
    public suspend fun distributionCut(`value`: Output) {
        this.distributionCut = value
    }

    /**
     * @param value A means to compute a ratio of `good_service` to `total_service`.
     * Defines computing this ratio with two TimeSeries [monitoring filters](https://cloud.google.com/monitoring/api/v3/filters)
     * Must specify exactly two of good, bad, and total service filters.
     * The relationship good_service + bad_service = total_service
     * will be assumed.
     * Exactly one of `distribution_cut` or `good_total_ratio` can be set.
     * Structure is documented below.
     */
    @JvmName("vyxjhjicyxwtdyyh")
    public suspend fun goodTotalRatio(`value`: Output) {
        this.goodTotalRatio = value
    }

    /**
     * @param value Used when good_service is defined by a count of values aggregated in a
     * Distribution that fall into a good range. The total_service is the
     * total count of all values aggregated in the Distribution.
     * Defines a distribution TimeSeries filter and thresholds used for
     * measuring good service and total service.
     * Exactly one of `distribution_cut` or `good_total_ratio` can be set.
     * Structure is documented below.
     */
    @JvmName("hcluutvfelpvkyix")
    public suspend fun distributionCut(`value`: SloRequestBasedSliDistributionCutArgs?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.distributionCut = mapped
    }

    /**
     * @param argument Used when good_service is defined by a count of values aggregated in a
     * Distribution that fall into a good range. The total_service is the
     * total count of all values aggregated in the Distribution.
     * Defines a distribution TimeSeries filter and thresholds used for
     * measuring good service and total service.
     * Exactly one of `distribution_cut` or `good_total_ratio` can be set.
     * Structure is documented below.
     */
    @JvmName("mrdgyhugsjcyntmx")
    public suspend fun distributionCut(argument: suspend SloRequestBasedSliDistributionCutArgsBuilder.() -> Unit) {
        val toBeMapped = SloRequestBasedSliDistributionCutArgsBuilder().applySuspend {
            argument()
        }.build()
        val mapped = of(toBeMapped)
        this.distributionCut = mapped
    }

    /**
     * @param value A means to compute a ratio of `good_service` to `total_service`.
     * Defines computing this ratio with two TimeSeries [monitoring filters](https://cloud.google.com/monitoring/api/v3/filters)
     * Must specify exactly two of good, bad, and total service filters.
     * The relationship good_service + bad_service = total_service
     * will be assumed.
     * Exactly one of `distribution_cut` or `good_total_ratio` can be set.
     * Structure is documented below.
     */
    @JvmName("mkmqkllgxknjvyei")
    public suspend fun goodTotalRatio(`value`: SloRequestBasedSliGoodTotalRatioArgs?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.goodTotalRatio = mapped
    }

    /**
     * @param argument A means to compute a ratio of `good_service` to `total_service`.
     * Defines computing this ratio with two TimeSeries [monitoring filters](https://cloud.google.com/monitoring/api/v3/filters)
     * Must specify exactly two of good, bad, and total service filters.
     * The relationship good_service + bad_service = total_service
     * will be assumed.
     * Exactly one of `distribution_cut` or `good_total_ratio` can be set.
     * Structure is documented below.
     */
    @JvmName("bngxyncdpsrawciq")
    public suspend fun goodTotalRatio(argument: suspend SloRequestBasedSliGoodTotalRatioArgsBuilder.() -> Unit) {
        val toBeMapped = SloRequestBasedSliGoodTotalRatioArgsBuilder().applySuspend {
            argument()
        }.build()
        val mapped = of(toBeMapped)
        this.goodTotalRatio = mapped
    }

    internal fun build(): SloRequestBasedSliArgs = SloRequestBasedSliArgs(
        distributionCut = distributionCut,
        goodTotalRatio = goodTotalRatio,
    )
}