com.pulumi.gcp.vertex.kotlin.outputs.AiEndpointPredictRequestResponseLoggingConfig.kt Maven / Gradle / Ivy

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

package com.pulumi.gcp.vertex.kotlin.outputs

import kotlin.Boolean
import kotlin.Double
import kotlin.Suppress

/**
 *
 * @property bigqueryDestination BigQuery table for logging. If only given a project, a new dataset will be created with name `logging__` where will be made BigQuery-dataset-name compatible (e.g. most special characters will become underscores). If no table name is given, a new table will be created with name `request_response_logging`
 * Structure is documented below.
 * @property enabled If logging is enabled or not.
 * @property samplingRate Percentage of requests to be logged, expressed as a fraction in range(0,1]
 */
public data class AiEndpointPredictRequestResponseLoggingConfig(
    public val bigqueryDestination: AiEndpointPredictRequestResponseLoggingConfigBigqueryDestination? =
        null,
    public val enabled: Boolean? = null,
    public val samplingRate: Double? = null,
) {
    public companion object {
        public fun toKotlin(javaType: com.pulumi.gcp.vertex.outputs.AiEndpointPredictRequestResponseLoggingConfig): AiEndpointPredictRequestResponseLoggingConfig =
            AiEndpointPredictRequestResponseLoggingConfig(
                bigqueryDestination = javaType.bigqueryDestination().map({ args0 ->
                    args0.let({ args0 ->
                        com.pulumi.gcp.vertex.kotlin.outputs.AiEndpointPredictRequestResponseLoggingConfigBigqueryDestination.Companion.toKotlin(args0)
                    })
                }).orElse(null),
                enabled = javaType.enabled().map({ args0 -> args0 }).orElse(null),
                samplingRate = javaType.samplingRate().map({ args0 -> args0 }).orElse(null),
            )
    }
}