commonMain.aws.sdk.kotlin.services.rekognition.model.DetectModerationLabelsRequest.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 DetectModerationLabelsRequest private constructor(builder: Builder) {
    /**
     * Sets up the configuration for human evaluation, including the FlowDefinition the image will be sent to.
     */
    public val humanLoopConfig: aws.sdk.kotlin.services.rekognition.model.HumanLoopConfig? = builder.humanLoopConfig
    /**
     * The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported.
     *
     * If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the `Bytes` field. For more information, see Images in the Amazon Rekognition developer guide.
     */
    public val image: aws.sdk.kotlin.services.rekognition.model.Image? = builder.image
    /**
     * Specifies the minimum confidence level for the labels to return. Amazon Rekognition doesn't return any labels with a confidence level lower than this specified value.
     *
     * If you don't specify `MinConfidence`, the operation returns labels with confidence values greater than or equal to 50 percent.
     */
    public val minConfidence: kotlin.Float? = builder.minConfidence
    /**
     * Identifier for the custom adapter. Expects the ProjectVersionArn as a value. Use the CreateProject or CreateProjectVersion APIs to create a custom adapter.
     */
    public val projectVersion: kotlin.String? = builder.projectVersion

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

    override fun toString(): kotlin.String = buildString {
        append("DetectModerationLabelsRequest(")
        append("humanLoopConfig=$humanLoopConfig,")
        append("image=$image,")
        append("minConfidence=$minConfidence,")
        append("projectVersion=$projectVersion")
        append(")")
    }

    override fun hashCode(): kotlin.Int {
        var result = humanLoopConfig?.hashCode() ?: 0
        result = 31 * result + (image?.hashCode() ?: 0)
        result = 31 * result + (minConfidence?.hashCode() ?: 0)
        result = 31 * result + (projectVersion?.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 DetectModerationLabelsRequest

        if (humanLoopConfig != other.humanLoopConfig) return false
        if (image != other.image) return false
        if (!(minConfidence?.equals(other.minConfidence) ?: (other.minConfidence == null))) return false
        if (projectVersion != other.projectVersion) return false

        return true
    }

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

    @SdkDsl
    public class Builder {
        /**
         * Sets up the configuration for human evaluation, including the FlowDefinition the image will be sent to.
         */
        public var humanLoopConfig: aws.sdk.kotlin.services.rekognition.model.HumanLoopConfig? = null
        /**
         * The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported.
         *
         * If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the `Bytes` field. For more information, see Images in the Amazon Rekognition developer guide.
         */
        public var image: aws.sdk.kotlin.services.rekognition.model.Image? = null
        /**
         * Specifies the minimum confidence level for the labels to return. Amazon Rekognition doesn't return any labels with a confidence level lower than this specified value.
         *
         * If you don't specify `MinConfidence`, the operation returns labels with confidence values greater than or equal to 50 percent.
         */
        public var minConfidence: kotlin.Float? = null
        /**
         * Identifier for the custom adapter. Expects the ProjectVersionArn as a value. Use the CreateProject or CreateProjectVersion APIs to create a custom adapter.
         */
        public var projectVersion: kotlin.String? = null

        @PublishedApi
        internal constructor()
        @PublishedApi
        internal constructor(x: aws.sdk.kotlin.services.rekognition.model.DetectModerationLabelsRequest) : this() {
            this.humanLoopConfig = x.humanLoopConfig
            this.image = x.image
            this.minConfidence = x.minConfidence
            this.projectVersion = x.projectVersion
        }

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

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

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

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