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

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// Code generated by smithy-kotlin-codegen. DO NOT EDIT!

package aws.sdk.kotlin.services.rekognition.model

import aws.smithy.kotlin.runtime.SdkDsl

public class CreateDatasetRequest private constructor(builder: Builder) {
    /**
     * The source files for the dataset. You can specify the ARN of an existing dataset or specify the Amazon S3 bucket location of an Amazon Sagemaker format manifest file. If you don't specify `datasetSource`, an empty dataset is created. To add labeled images to the dataset, You can use the console or call UpdateDatasetEntries.
     */
    public val datasetSource: aws.sdk.kotlin.services.rekognition.model.DatasetSource? = builder.datasetSource
    /**
     * The type of the dataset. Specify `TRAIN` to create a training dataset. Specify `TEST` to create a test dataset.
     */
    public val datasetType: aws.sdk.kotlin.services.rekognition.model.DatasetType? = builder.datasetType
    /**
     * The ARN of the Amazon Rekognition Custom Labels project to which you want to asssign the dataset.
     */
    public val projectArn: kotlin.String? = builder.projectArn
    /**
     * A set of tags (key-value pairs) that you want to attach to the dataset.
     */
    public val tags: Map? = builder.tags

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

    override fun toString(): kotlin.String = buildString {
        append("CreateDatasetRequest(")
        append("datasetSource=$datasetSource,")
        append("datasetType=$datasetType,")
        append("projectArn=$projectArn,")
        append("tags=$tags")
        append(")")
    }

    override fun hashCode(): kotlin.Int {
        var result = datasetSource?.hashCode() ?: 0
        result = 31 * result + (datasetType?.hashCode() ?: 0)
        result = 31 * result + (projectArn?.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 (datasetSource != other.datasetSource) return false
        if (datasetType != other.datasetType) return false
        if (projectArn != other.projectArn) return false
        if (tags != other.tags) return false

        return true
    }

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

    @SdkDsl
    public class Builder {
        /**
         * The source files for the dataset. You can specify the ARN of an existing dataset or specify the Amazon S3 bucket location of an Amazon Sagemaker format manifest file. If you don't specify `datasetSource`, an empty dataset is created. To add labeled images to the dataset, You can use the console or call UpdateDatasetEntries.
         */
        public var datasetSource: aws.sdk.kotlin.services.rekognition.model.DatasetSource? = null
        /**
         * The type of the dataset. Specify `TRAIN` to create a training dataset. Specify `TEST` to create a test dataset.
         */
        public var datasetType: aws.sdk.kotlin.services.rekognition.model.DatasetType? = null
        /**
         * The ARN of the Amazon Rekognition Custom Labels project to which you want to asssign the dataset.
         */
        public var projectArn: kotlin.String? = null
        /**
         * A set of tags (key-value pairs) that you want to attach to the dataset.
         */
        public var tags: Map? = null

        @PublishedApi
        internal constructor()
        @PublishedApi
        internal constructor(x: aws.sdk.kotlin.services.rekognition.model.CreateDatasetRequest) : this() {
            this.datasetSource = x.datasetSource
            this.datasetType = x.datasetType
            this.projectArn = x.projectArn
            this.tags = x.tags
        }

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

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

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