com.pulumi.awsnative.quicksight.kotlin.inputs.AnalysisNumericalAggregationFunctionArgs.kt Maven / Gradle / Ivy

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

package com.pulumi.awsnative.quicksight.kotlin.inputs

import com.pulumi.awsnative.quicksight.inputs.AnalysisNumericalAggregationFunctionArgs.builder
import com.pulumi.awsnative.quicksight.kotlin.enums.AnalysisSimpleNumericalAggregationFunction
import com.pulumi.core.Output
import com.pulumi.core.Output.of
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 percentileAggregation An aggregation based on the percentile of values in a dimension or measure.
 * @property simpleNumericalAggregation Built-in aggregation functions for numerical values.
 * - `SUM` : The sum of a dimension or measure.
 * - `AVERAGE` : The average of a dimension or measure.
 * - `MIN` : The minimum value of a dimension or measure.
 * - `MAX` : The maximum value of a dimension or measure.
 * - `COUNT` : The count of a dimension or measure.
 * - `DISTINCT_COUNT` : The count of distinct values in a dimension or measure.
 * - `VAR` : The variance of a dimension or measure.
 * - `VARP` : The partitioned variance of a dimension or measure.
 * - `STDEV` : The standard deviation of a dimension or measure.
 * - `STDEVP` : The partitioned standard deviation of a dimension or measure.
 * - `MEDIAN` : The median value of a dimension or measure.
 */
public data class AnalysisNumericalAggregationFunctionArgs(
    public val percentileAggregation: Output? = null,
    public val simpleNumericalAggregation: Output? = null,
) :
    ConvertibleToJava {
    override fun toJava(): com.pulumi.awsnative.quicksight.inputs.AnalysisNumericalAggregationFunctionArgs =
        com.pulumi.awsnative.quicksight.inputs.AnalysisNumericalAggregationFunctionArgs.builder()
            .percentileAggregation(
                percentileAggregation?.applyValue({ args0 ->
                    args0.let({ args0 ->
                        args0.toJava()
                    })
                }),
            )
            .simpleNumericalAggregation(
                simpleNumericalAggregation?.applyValue({ args0 ->
                    args0.let({ args0 ->
                        args0.toJava()
                    })
                }),
            ).build()
}

/**
 * Builder for [AnalysisNumericalAggregationFunctionArgs].
 */
@PulumiTagMarker
public class AnalysisNumericalAggregationFunctionArgsBuilder internal constructor() {
    private var percentileAggregation: Output? = null

    private var simpleNumericalAggregation: Output? = null

    /**
     * @param value An aggregation based on the percentile of values in a dimension or measure.
     */
    @JvmName("qgxmtvudkankjcwg")
    public suspend fun percentileAggregation(`value`: Output) {
        this.percentileAggregation = value
    }

    /**
     * @param value Built-in aggregation functions for numerical values.
     * - `SUM` : The sum of a dimension or measure.
     * - `AVERAGE` : The average of a dimension or measure.
     * - `MIN` : The minimum value of a dimension or measure.
     * - `MAX` : The maximum value of a dimension or measure.
     * - `COUNT` : The count of a dimension or measure.
     * - `DISTINCT_COUNT` : The count of distinct values in a dimension or measure.
     * - `VAR` : The variance of a dimension or measure.
     * - `VARP` : The partitioned variance of a dimension or measure.
     * - `STDEV` : The standard deviation of a dimension or measure.
     * - `STDEVP` : The partitioned standard deviation of a dimension or measure.
     * - `MEDIAN` : The median value of a dimension or measure.
     */
    @JvmName("eipdwlaunciyrodx")
    public suspend fun simpleNumericalAggregation(`value`: Output) {
        this.simpleNumericalAggregation = value
    }

    /**
     * @param value An aggregation based on the percentile of values in a dimension or measure.
     */
    @JvmName("yrjulvplgjfgcaxd")
    public suspend fun percentileAggregation(`value`: AnalysisPercentileAggregationArgs?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.percentileAggregation = mapped
    }

    /**
     * @param argument An aggregation based on the percentile of values in a dimension or measure.
     */
    @JvmName("oqfvlyfepgvwntka")
    public suspend fun percentileAggregation(argument: suspend AnalysisPercentileAggregationArgsBuilder.() -> Unit) {
        val toBeMapped = AnalysisPercentileAggregationArgsBuilder().applySuspend { argument() }.build()
        val mapped = of(toBeMapped)
        this.percentileAggregation = mapped
    }

    /**
     * @param value Built-in aggregation functions for numerical values.
     * - `SUM` : The sum of a dimension or measure.
     * - `AVERAGE` : The average of a dimension or measure.
     * - `MIN` : The minimum value of a dimension or measure.
     * - `MAX` : The maximum value of a dimension or measure.
     * - `COUNT` : The count of a dimension or measure.
     * - `DISTINCT_COUNT` : The count of distinct values in a dimension or measure.
     * - `VAR` : The variance of a dimension or measure.
     * - `VARP` : The partitioned variance of a dimension or measure.
     * - `STDEV` : The standard deviation of a dimension or measure.
     * - `STDEVP` : The partitioned standard deviation of a dimension or measure.
     * - `MEDIAN` : The median value of a dimension or measure.
     */
    @JvmName("dxqnfbpgqiqqwqxg")
    public suspend fun simpleNumericalAggregation(`value`: AnalysisSimpleNumericalAggregationFunction?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.simpleNumericalAggregation = mapped
    }

    internal fun build(): AnalysisNumericalAggregationFunctionArgs =
        AnalysisNumericalAggregationFunctionArgs(
            percentileAggregation = percentileAggregation,
            simpleNumericalAggregation = simpleNumericalAggregation,
        )
}