commonMain.aws.sdk.kotlin.services.comprehend.model.CreateDatasetRequest.kt Maven / Gradle / Ivy

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The AWS SDK for Kotlin client for Comprehend
There is a newer version: 1.3.37
// Code generated by smithy-kotlin-codegen. DO NOT EDIT!

package aws.sdk.kotlin.services.comprehend.model

import aws.smithy.kotlin.runtime.SdkDsl

public class CreateDatasetRequest private constructor(builder: Builder) {
    /**
     * A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
     */
    public val clientRequestToken: kotlin.String? = builder.clientRequestToken
    /**
     * Name of the dataset.
     */
    public val datasetName: kotlin.String? = builder.datasetName
    /**
     * The dataset type. You can specify that the data in a dataset is for training the model or for testing the model.
     */
    public val datasetType: aws.sdk.kotlin.services.comprehend.model.DatasetType? = builder.datasetType
    /**
     * Description of the dataset.
     */
    public val description: kotlin.String? = builder.description
    /**
     * The Amazon Resource Number (ARN) of the flywheel of the flywheel to receive the data.
     */
    public val flywheelArn: kotlin.String? = builder.flywheelArn
    /**
     * Information about the input data configuration. The type of input data varies based on the format of the input and whether the data is for a classifier model or an entity recognition model.
     */
    public val inputDataConfig: aws.sdk.kotlin.services.comprehend.model.DatasetInputDataConfig? = builder.inputDataConfig
    /**
     * Tags for the dataset.
     */
    public val tags: List? = builder.tags

    public companion object {
        public operator fun invoke(block: Builder.() -> kotlin.Unit): aws.sdk.kotlin.services.comprehend.model.CreateDatasetRequest = Builder().apply(block).build()
    }

    override fun toString(): kotlin.String = buildString {
        append("CreateDatasetRequest(")
        append("clientRequestToken=$clientRequestToken,")
        append("datasetName=$datasetName,")
        append("datasetType=$datasetType,")
        append("description=$description,")
        append("flywheelArn=$flywheelArn,")
        append("inputDataConfig=$inputDataConfig,")
        append("tags=$tags")
        append(")")
    }

    override fun hashCode(): kotlin.Int {
        var result = clientRequestToken?.hashCode() ?: 0
        result = 31 * result + (datasetName?.hashCode() ?: 0)
        result = 31 * result + (datasetType?.hashCode() ?: 0)
        result = 31 * result + (description?.hashCode() ?: 0)
        result = 31 * result + (flywheelArn?.hashCode() ?: 0)
        result = 31 * result + (inputDataConfig?.hashCode() ?: 0)
        result = 31 * result + (tags?.hashCode() ?: 0)
        return result
    }

    override fun equals(other: kotlin.Any?): kotlin.Boolean {
        if (this === other) return true
        if (other == null || this::class != other::class) return false

        other as CreateDatasetRequest

        if (clientRequestToken != other.clientRequestToken) return false
        if (datasetName != other.datasetName) return false
        if (datasetType != other.datasetType) return false
        if (description != other.description) return false
        if (flywheelArn != other.flywheelArn) return false
        if (inputDataConfig != other.inputDataConfig) return false
        if (tags != other.tags) return false

        return true
    }

    public inline fun copy(block: Builder.() -> kotlin.Unit = {}): aws.sdk.kotlin.services.comprehend.model.CreateDatasetRequest = Builder(this).apply(block).build()

    @SdkDsl
    public class Builder {
        /**
         * A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
         */
        public var clientRequestToken: kotlin.String? = null
        /**
         * Name of the dataset.
         */
        public var datasetName: kotlin.String? = null
        /**
         * The dataset type. You can specify that the data in a dataset is for training the model or for testing the model.
         */
        public var datasetType: aws.sdk.kotlin.services.comprehend.model.DatasetType? = null
        /**
         * Description of the dataset.
         */
        public var description: kotlin.String? = null
        /**
         * The Amazon Resource Number (ARN) of the flywheel of the flywheel to receive the data.
         */
        public var flywheelArn: kotlin.String? = null
        /**
         * Information about the input data configuration. The type of input data varies based on the format of the input and whether the data is for a classifier model or an entity recognition model.
         */
        public var inputDataConfig: aws.sdk.kotlin.services.comprehend.model.DatasetInputDataConfig? = null
        /**
         * Tags for the dataset.
         */
        public var tags: List? = null

        @PublishedApi
        internal constructor()
        @PublishedApi
        internal constructor(x: aws.sdk.kotlin.services.comprehend.model.CreateDatasetRequest) : this() {
            this.clientRequestToken = x.clientRequestToken
            this.datasetName = x.datasetName
            this.datasetType = x.datasetType
            this.description = x.description
            this.flywheelArn = x.flywheelArn
            this.inputDataConfig = x.inputDataConfig
            this.tags = x.tags
        }

        @PublishedApi
        internal fun build(): aws.sdk.kotlin.services.comprehend.model.CreateDatasetRequest = CreateDatasetRequest(this)

        /**
         * construct an [aws.sdk.kotlin.services.comprehend.model.DatasetInputDataConfig] inside the given [block]
         */
        public fun inputDataConfig(block: aws.sdk.kotlin.services.comprehend.model.DatasetInputDataConfig.Builder.() -> kotlin.Unit) {
            this.inputDataConfig = aws.sdk.kotlin.services.comprehend.model.DatasetInputDataConfig.invoke(block)
        }

        internal fun correctErrors(): Builder {
            return this
        }
    }
}