com.pulumi.gcp.monitoring.kotlin.inputs.AlertPolicyConditionConditionThresholdAggregationArgs.kt Maven / Gradle / Ivy

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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.AlertPolicyConditionConditionThresholdAggregationArgs.builder
import com.pulumi.kotlin.ConvertibleToJava
import com.pulumi.kotlin.PulumiTagMarker
import kotlin.String
import kotlin.Suppress
import kotlin.collections.List
import kotlin.jvm.JvmName

/**
 *
 * @property alignmentPeriod The alignment period for per-time
 * series alignment. If present,
 * alignmentPeriod must be at least
 * 60 seconds. After per-time series
 * alignment, each time series will
 * contain data points only on the
 * period boundaries. If
 * perSeriesAligner is not specified
 * or equals ALIGN_NONE, then this
 * field is ignored. If
 * perSeriesAligner is specified and
 * does not equal ALIGN_NONE, then
 * this field must be defined;
 * otherwise an error is returned.
 * @property crossSeriesReducer The approach to be used to combine
 * time series. Not all reducer
 * functions may be applied to all
 * time series, depending on the
 * metric type and the value type of
 * the original time series.
 * Reduction may change the metric
 * type of value type of the time
 * series.Time series data must be
 * aligned in order to perform cross-
 * time series reduction. If
 * crossSeriesReducer is specified,
 * then perSeriesAligner must be
 * specified and not equal ALIGN_NONE
 * and alignmentPeriod must be
 * specified; otherwise, an error is
 * returned.
 * Possible values are: `REDUCE_NONE`, `REDUCE_MEAN`, `REDUCE_MIN`, `REDUCE_MAX`, `REDUCE_SUM`, `REDUCE_STDDEV`, `REDUCE_COUNT`, `REDUCE_COUNT_TRUE`, `REDUCE_COUNT_FALSE`, `REDUCE_FRACTION_TRUE`, `REDUCE_PERCENTILE_99`, `REDUCE_PERCENTILE_95`, `REDUCE_PERCENTILE_50`, `REDUCE_PERCENTILE_05`.
 * @property groupByFields The set of fields to preserve when
 * crossSeriesReducer is specified.
 * The groupByFields determine how
 * the time series are partitioned
 * into subsets prior to applying the
 * aggregation function. Each subset
 * contains time series that have the
 * same value for each of the
 * grouping fields. Each individual
 * time series is a member of exactly
 * one subset. The crossSeriesReducer
 * is applied to each subset of time
 * series. It is not possible to
 * reduce across different resource
 * types, so this field implicitly
 * contains resource.type. Fields not
 * specified in groupByFields are
 * aggregated away. If groupByFields
 * is not specified and all the time
 * series have the same resource
 * type, then the time series are
 * aggregated into a single output
 * time series. If crossSeriesReducer
 * is not defined, this field is
 * ignored.
 * @property perSeriesAligner The approach to be used to align
 * individual time series. Not all
 * alignment functions may be applied
 * to all time series, depending on
 * the metric type and value type of
 * the original time series.
 * Alignment may change the metric
 * type or the value type of the time
 * series.Time series data must be
 * aligned in order to perform cross-
 * time series reduction. If
 * crossSeriesReducer is specified,
 * then perSeriesAligner must be
 * specified and not equal ALIGN_NONE
 * and alignmentPeriod must be
 * specified; otherwise, an error is
 * returned.
 * Possible values are: `ALIGN_NONE`, `ALIGN_DELTA`, `ALIGN_RATE`, `ALIGN_INTERPOLATE`, `ALIGN_NEXT_OLDER`, `ALIGN_MIN`, `ALIGN_MAX`, `ALIGN_MEAN`, `ALIGN_COUNT`, `ALIGN_SUM`, `ALIGN_STDDEV`, `ALIGN_COUNT_TRUE`, `ALIGN_COUNT_FALSE`, `ALIGN_FRACTION_TRUE`, `ALIGN_PERCENTILE_99`, `ALIGN_PERCENTILE_95`, `ALIGN_PERCENTILE_50`, `ALIGN_PERCENTILE_05`, `ALIGN_PERCENT_CHANGE`.
 */
public data class AlertPolicyConditionConditionThresholdAggregationArgs(
    public val alignmentPeriod: Output? = null,
    public val crossSeriesReducer: Output? = null,
    public val groupByFields: Output>? = null,
    public val perSeriesAligner: Output? = null,
) :
    ConvertibleToJava {
    override fun toJava(): com.pulumi.gcp.monitoring.inputs.AlertPolicyConditionConditionThresholdAggregationArgs =
        com.pulumi.gcp.monitoring.inputs.AlertPolicyConditionConditionThresholdAggregationArgs.builder()
            .alignmentPeriod(alignmentPeriod?.applyValue({ args0 -> args0 }))
            .crossSeriesReducer(crossSeriesReducer?.applyValue({ args0 -> args0 }))
            .groupByFields(groupByFields?.applyValue({ args0 -> args0.map({ args0 -> args0 }) }))
            .perSeriesAligner(perSeriesAligner?.applyValue({ args0 -> args0 })).build()
}

/**
 * Builder for [AlertPolicyConditionConditionThresholdAggregationArgs].
 */
@PulumiTagMarker
public class AlertPolicyConditionConditionThresholdAggregationArgsBuilder internal constructor() {
    private var alignmentPeriod: Output? = null

    private var crossSeriesReducer: Output? = null

    private var groupByFields: Output>? = null

    private var perSeriesAligner: Output? = null

    /**
     * @param value The alignment period for per-time
     * series alignment. If present,
     * alignmentPeriod must be at least
     * 60 seconds. After per-time series
     * alignment, each time series will
     * contain data points only on the
     * period boundaries. If
     * perSeriesAligner is not specified
     * or equals ALIGN_NONE, then this
     * field is ignored. If
     * perSeriesAligner is specified and
     * does not equal ALIGN_NONE, then
     * this field must be defined;
     * otherwise an error is returned.
     */
    @JvmName("lfrgdvmcumvlleqm")
    public suspend fun alignmentPeriod(`value`: Output) {
        this.alignmentPeriod = value
    }

    /**
     * @param value The approach to be used to combine
     * time series. Not all reducer
     * functions may be applied to all
     * time series, depending on the
     * metric type and the value type of
     * the original time series.
     * Reduction may change the metric
     * type of value type of the time
     * series.Time series data must be
     * aligned in order to perform cross-
     * time series reduction. If
     * crossSeriesReducer is specified,
     * then perSeriesAligner must be
     * specified and not equal ALIGN_NONE
     * and alignmentPeriod must be
     * specified; otherwise, an error is
     * returned.
     * Possible values are: `REDUCE_NONE`, `REDUCE_MEAN`, `REDUCE_MIN`, `REDUCE_MAX`, `REDUCE_SUM`, `REDUCE_STDDEV`, `REDUCE_COUNT`, `REDUCE_COUNT_TRUE`, `REDUCE_COUNT_FALSE`, `REDUCE_FRACTION_TRUE`, `REDUCE_PERCENTILE_99`, `REDUCE_PERCENTILE_95`, `REDUCE_PERCENTILE_50`, `REDUCE_PERCENTILE_05`.
     */
    @JvmName("barsbjmsepfmkeec")
    public suspend fun crossSeriesReducer(`value`: Output) {
        this.crossSeriesReducer = value
    }

    /**
     * @param value The set of fields to preserve when
     * crossSeriesReducer is specified.
     * The groupByFields determine how
     * the time series are partitioned
     * into subsets prior to applying the
     * aggregation function. Each subset
     * contains time series that have the
     * same value for each of the
     * grouping fields. Each individual
     * time series is a member of exactly
     * one subset. The crossSeriesReducer
     * is applied to each subset of time
     * series. It is not possible to
     * reduce across different resource
     * types, so this field implicitly
     * contains resource.type. Fields not
     * specified in groupByFields are
     * aggregated away. If groupByFields
     * is not specified and all the time
     * series have the same resource
     * type, then the time series are
     * aggregated into a single output
     * time series. If crossSeriesReducer
     * is not defined, this field is
     * ignored.
     */
    @JvmName("ueeevoivsbqoqpey")
    public suspend fun groupByFields(`value`: Output>) {
        this.groupByFields = value
    }

    @JvmName("jhngrgyntxoupgyh")
    public suspend fun groupByFields(vararg values: Output) {
        this.groupByFields = Output.all(values.asList())
    }

    /**
     * @param values The set of fields to preserve when
     * crossSeriesReducer is specified.
     * The groupByFields determine how
     * the time series are partitioned
     * into subsets prior to applying the
     * aggregation function. Each subset
     * contains time series that have the
     * same value for each of the
     * grouping fields. Each individual
     * time series is a member of exactly
     * one subset. The crossSeriesReducer
     * is applied to each subset of time
     * series. It is not possible to
     * reduce across different resource
     * types, so this field implicitly
     * contains resource.type. Fields not
     * specified in groupByFields are
     * aggregated away. If groupByFields
     * is not specified and all the time
     * series have the same resource
     * type, then the time series are
     * aggregated into a single output
     * time series. If crossSeriesReducer
     * is not defined, this field is
     * ignored.
     */
    @JvmName("nrcscrmntrdxqfua")
    public suspend fun groupByFields(values: List>) {
        this.groupByFields = Output.all(values)
    }

    /**
     * @param value The approach to be used to align
     * individual time series. Not all
     * alignment functions may be applied
     * to all time series, depending on
     * the metric type and value type of
     * the original time series.
     * Alignment may change the metric
     * type or the value type of the time
     * series.Time series data must be
     * aligned in order to perform cross-
     * time series reduction. If
     * crossSeriesReducer is specified,
     * then perSeriesAligner must be
     * specified and not equal ALIGN_NONE
     * and alignmentPeriod must be
     * specified; otherwise, an error is
     * returned.
     * Possible values are: `ALIGN_NONE`, `ALIGN_DELTA`, `ALIGN_RATE`, `ALIGN_INTERPOLATE`, `ALIGN_NEXT_OLDER`, `ALIGN_MIN`, `ALIGN_MAX`, `ALIGN_MEAN`, `ALIGN_COUNT`, `ALIGN_SUM`, `ALIGN_STDDEV`, `ALIGN_COUNT_TRUE`, `ALIGN_COUNT_FALSE`, `ALIGN_FRACTION_TRUE`, `ALIGN_PERCENTILE_99`, `ALIGN_PERCENTILE_95`, `ALIGN_PERCENTILE_50`, `ALIGN_PERCENTILE_05`, `ALIGN_PERCENT_CHANGE`.
     */
    @JvmName("upjffmdrlnpgcamj")
    public suspend fun perSeriesAligner(`value`: Output) {
        this.perSeriesAligner = value
    }

    /**
     * @param value The alignment period for per-time
     * series alignment. If present,
     * alignmentPeriod must be at least
     * 60 seconds. After per-time series
     * alignment, each time series will
     * contain data points only on the
     * period boundaries. If
     * perSeriesAligner is not specified
     * or equals ALIGN_NONE, then this
     * field is ignored. If
     * perSeriesAligner is specified and
     * does not equal ALIGN_NONE, then
     * this field must be defined;
     * otherwise an error is returned.
     */
    @JvmName("fpacvcrevwytcotf")
    public suspend fun alignmentPeriod(`value`: String?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.alignmentPeriod = mapped
    }

    /**
     * @param value The approach to be used to combine
     * time series. Not all reducer
     * functions may be applied to all
     * time series, depending on the
     * metric type and the value type of
     * the original time series.
     * Reduction may change the metric
     * type of value type of the time
     * series.Time series data must be
     * aligned in order to perform cross-
     * time series reduction. If
     * crossSeriesReducer is specified,
     * then perSeriesAligner must be
     * specified and not equal ALIGN_NONE
     * and alignmentPeriod must be
     * specified; otherwise, an error is
     * returned.
     * Possible values are: `REDUCE_NONE`, `REDUCE_MEAN`, `REDUCE_MIN`, `REDUCE_MAX`, `REDUCE_SUM`, `REDUCE_STDDEV`, `REDUCE_COUNT`, `REDUCE_COUNT_TRUE`, `REDUCE_COUNT_FALSE`, `REDUCE_FRACTION_TRUE`, `REDUCE_PERCENTILE_99`, `REDUCE_PERCENTILE_95`, `REDUCE_PERCENTILE_50`, `REDUCE_PERCENTILE_05`.
     */
    @JvmName("mgealrodklkphlbn")
    public suspend fun crossSeriesReducer(`value`: String?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.crossSeriesReducer = mapped
    }

    /**
     * @param value The set of fields to preserve when
     * crossSeriesReducer is specified.
     * The groupByFields determine how
     * the time series are partitioned
     * into subsets prior to applying the
     * aggregation function. Each subset
     * contains time series that have the
     * same value for each of the
     * grouping fields. Each individual
     * time series is a member of exactly
     * one subset. The crossSeriesReducer
     * is applied to each subset of time
     * series. It is not possible to
     * reduce across different resource
     * types, so this field implicitly
     * contains resource.type. Fields not
     * specified in groupByFields are
     * aggregated away. If groupByFields
     * is not specified and all the time
     * series have the same resource
     * type, then the time series are
     * aggregated into a single output
     * time series. If crossSeriesReducer
     * is not defined, this field is
     * ignored.
     */
    @JvmName("nxftnjmjvcffuccu")
    public suspend fun groupByFields(`value`: List?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.groupByFields = mapped
    }

    /**
     * @param values The set of fields to preserve when
     * crossSeriesReducer is specified.
     * The groupByFields determine how
     * the time series are partitioned
     * into subsets prior to applying the
     * aggregation function. Each subset
     * contains time series that have the
     * same value for each of the
     * grouping fields. Each individual
     * time series is a member of exactly
     * one subset. The crossSeriesReducer
     * is applied to each subset of time
     * series. It is not possible to
     * reduce across different resource
     * types, so this field implicitly
     * contains resource.type. Fields not
     * specified in groupByFields are
     * aggregated away. If groupByFields
     * is not specified and all the time
     * series have the same resource
     * type, then the time series are
     * aggregated into a single output
     * time series. If crossSeriesReducer
     * is not defined, this field is
     * ignored.
     */
    @JvmName("jfggeeyaswhotcvn")
    public suspend fun groupByFields(vararg values: String) {
        val toBeMapped = values.toList()
        val mapped = toBeMapped.let({ args0 -> of(args0) })
        this.groupByFields = mapped
    }

    /**
     * @param value The approach to be used to align
     * individual time series. Not all
     * alignment functions may be applied
     * to all time series, depending on
     * the metric type and value type of
     * the original time series.
     * Alignment may change the metric
     * type or the value type of the time
     * series.Time series data must be
     * aligned in order to perform cross-
     * time series reduction. If
     * crossSeriesReducer is specified,
     * then perSeriesAligner must be
     * specified and not equal ALIGN_NONE
     * and alignmentPeriod must be
     * specified; otherwise, an error is
     * returned.
     * Possible values are: `ALIGN_NONE`, `ALIGN_DELTA`, `ALIGN_RATE`, `ALIGN_INTERPOLATE`, `ALIGN_NEXT_OLDER`, `ALIGN_MIN`, `ALIGN_MAX`, `ALIGN_MEAN`, `ALIGN_COUNT`, `ALIGN_SUM`, `ALIGN_STDDEV`, `ALIGN_COUNT_TRUE`, `ALIGN_COUNT_FALSE`, `ALIGN_FRACTION_TRUE`, `ALIGN_PERCENTILE_99`, `ALIGN_PERCENTILE_95`, `ALIGN_PERCENTILE_50`, `ALIGN_PERCENTILE_05`, `ALIGN_PERCENT_CHANGE`.
     */
    @JvmName("gfkpykulmhgirtxa")
    public suspend fun perSeriesAligner(`value`: String?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.perSeriesAligner = mapped
    }

    internal fun build(): AlertPolicyConditionConditionThresholdAggregationArgs =
        AlertPolicyConditionConditionThresholdAggregationArgs(
            alignmentPeriod = alignmentPeriod,
            crossSeriesReducer = crossSeriesReducer,
            groupByFields = groupByFields,
            perSeriesAligner = perSeriesAligner,
        )
}