com.pulumi.googlenative.dlp.v2.kotlin.inputs.GooglePrivacyDlpV2LikelihoodAdjustmentArgs.kt Maven / Gradle / Ivy

Go to download
@file:Suppress("NAME_SHADOWING", "DEPRECATION")

package com.pulumi.googlenative.dlp.v2.kotlin.inputs

import com.pulumi.core.Output
import com.pulumi.core.Output.of
import com.pulumi.googlenative.dlp.v2.inputs.GooglePrivacyDlpV2LikelihoodAdjustmentArgs.builder
import com.pulumi.googlenative.dlp.v2.kotlin.enums.GooglePrivacyDlpV2LikelihoodAdjustmentFixedLikelihood
import com.pulumi.kotlin.ConvertibleToJava
import com.pulumi.kotlin.PulumiTagMarker
import kotlin.Int
import kotlin.Suppress
import kotlin.jvm.JvmName

/**
 * Message for specifying an adjustment to the likelihood of a finding as part of a detection rule.
 * @property fixedLikelihood Set the likelihood of a finding to a fixed value.
 * @property relativeLikelihood Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`.
 */
public data class GooglePrivacyDlpV2LikelihoodAdjustmentArgs(
    public val fixedLikelihood: Output? = null,
    public val relativeLikelihood: Output? = null,
) :
    ConvertibleToJava {
    override fun toJava(): com.pulumi.googlenative.dlp.v2.inputs.GooglePrivacyDlpV2LikelihoodAdjustmentArgs =
        com.pulumi.googlenative.dlp.v2.inputs.GooglePrivacyDlpV2LikelihoodAdjustmentArgs.builder()
            .fixedLikelihood(fixedLikelihood?.applyValue({ args0 -> args0.let({ args0 -> args0.toJava() }) }))
            .relativeLikelihood(relativeLikelihood?.applyValue({ args0 -> args0 })).build()
}

/**
 * Builder for [GooglePrivacyDlpV2LikelihoodAdjustmentArgs].
 */
@PulumiTagMarker
public class GooglePrivacyDlpV2LikelihoodAdjustmentArgsBuilder internal constructor() {
    private var fixedLikelihood: Output? = null

    private var relativeLikelihood: Output? = null

    /**
     * @param value Set the likelihood of a finding to a fixed value.
     */
    @JvmName("rtstgymrgtagcbvi")
    public suspend fun fixedLikelihood(`value`: Output) {
        this.fixedLikelihood = value
    }

    /**
     * @param value Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`.
     */
    @JvmName("awsnrtubllmacofp")
    public suspend fun relativeLikelihood(`value`: Output) {
        this.relativeLikelihood = value
    }

    /**
     * @param value Set the likelihood of a finding to a fixed value.
     */
    @JvmName("cnpvlyhitkfwknkp")
    public suspend fun fixedLikelihood(`value`: GooglePrivacyDlpV2LikelihoodAdjustmentFixedLikelihood?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.fixedLikelihood = mapped
    }

    /**
     * @param value Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`.
     */
    @JvmName("qtbrihmvlscdpliy")
    public suspend fun relativeLikelihood(`value`: Int?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.relativeLikelihood = mapped
    }

    internal fun build(): GooglePrivacyDlpV2LikelihoodAdjustmentArgs =
        GooglePrivacyDlpV2LikelihoodAdjustmentArgs(
            fixedLikelihood = fixedLikelihood,
            relativeLikelihood = relativeLikelihood,
        )
}