commonMain.aws.sdk.kotlin.services.comprehend.transform.TargetedSentimentMentionDocumentDeserializer.kt Maven / Gradle / Ivy

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

package aws.sdk.kotlin.services.comprehend.transform

import aws.sdk.kotlin.services.comprehend.model.TargetedSentimentEntityType
import aws.sdk.kotlin.services.comprehend.model.TargetedSentimentMention
import aws.smithy.kotlin.runtime.serde.Deserializer
import aws.smithy.kotlin.runtime.serde.SdkFieldDescriptor
import aws.smithy.kotlin.runtime.serde.SdkObjectDescriptor
import aws.smithy.kotlin.runtime.serde.SerialKind
import aws.smithy.kotlin.runtime.serde.asSdkSerializable
import aws.smithy.kotlin.runtime.serde.deserializeList
import aws.smithy.kotlin.runtime.serde.deserializeMap
import aws.smithy.kotlin.runtime.serde.deserializeStruct
import aws.smithy.kotlin.runtime.serde.field
import aws.smithy.kotlin.runtime.serde.json.JsonDeserializer
import aws.smithy.kotlin.runtime.serde.json.JsonSerialName
import aws.smithy.kotlin.runtime.serde.serializeList
import aws.smithy.kotlin.runtime.serde.serializeMap
import aws.smithy.kotlin.runtime.serde.serializeStruct

internal fun deserializeTargetedSentimentMentionDocument(deserializer: Deserializer): TargetedSentimentMention {
    val builder = TargetedSentimentMention.Builder()
    val BEGINOFFSET_DESCRIPTOR = SdkFieldDescriptor(SerialKind.Integer, JsonSerialName("BeginOffset"))
    val ENDOFFSET_DESCRIPTOR = SdkFieldDescriptor(SerialKind.Integer, JsonSerialName("EndOffset"))
    val GROUPSCORE_DESCRIPTOR = SdkFieldDescriptor(SerialKind.Float, JsonSerialName("GroupScore"))
    val MENTIONSENTIMENT_DESCRIPTOR = SdkFieldDescriptor(SerialKind.Struct, JsonSerialName("MentionSentiment"))
    val SCORE_DESCRIPTOR = SdkFieldDescriptor(SerialKind.Float, JsonSerialName("Score"))
    val TEXT_DESCRIPTOR = SdkFieldDescriptor(SerialKind.String, JsonSerialName("Text"))
    val TYPE_DESCRIPTOR = SdkFieldDescriptor(SerialKind.Enum, JsonSerialName("Type"))
    val OBJ_DESCRIPTOR = SdkObjectDescriptor.build {
        field(BEGINOFFSET_DESCRIPTOR)
        field(ENDOFFSET_DESCRIPTOR)
        field(GROUPSCORE_DESCRIPTOR)
        field(MENTIONSENTIMENT_DESCRIPTOR)
        field(SCORE_DESCRIPTOR)
        field(TEXT_DESCRIPTOR)
        field(TYPE_DESCRIPTOR)
    }

    deserializer.deserializeStruct(OBJ_DESCRIPTOR) {
        loop@while (true) {
            when (findNextFieldIndex()) {
                BEGINOFFSET_DESCRIPTOR.index -> builder.beginOffset = deserializeInt()
                ENDOFFSET_DESCRIPTOR.index -> builder.endOffset = deserializeInt()
                GROUPSCORE_DESCRIPTOR.index -> builder.groupScore = deserializeFloat()
                MENTIONSENTIMENT_DESCRIPTOR.index -> builder.mentionSentiment = deserializeMentionSentimentDocument(deserializer)
                SCORE_DESCRIPTOR.index -> builder.score = deserializeFloat()
                TEXT_DESCRIPTOR.index -> builder.text = deserializeString()
                TYPE_DESCRIPTOR.index -> builder.type = deserializeString().let { TargetedSentimentEntityType.fromValue(it) }
                null -> break@loop
                else -> skipValue()
            }
        }
    }
    return builder.build()
}