com.pulumi.gcp.diagflow.kotlin.outputs.CxFlowAdvancedSettingsSpeechSettings.kt Maven / Gradle / Ivy

Go to download

Show more of this group Show more artifacts with this name
Show all versions of pulumi-gcp-kotlin Show documentation

Build cloud applications and infrastructure by combining the safety and reliability of infrastructure as code with the power of the Kotlin programming language.

There is a newer version: 8.20.1.0

Show newest version

@file:Suppress("NAME_SHADOWING", "DEPRECATION")

package com.pulumi.gcp.diagflow.kotlin.outputs

import kotlin.Boolean
import kotlin.Int
import kotlin.String
import kotlin.Suppress
import kotlin.collections.Map

/**
 *
 * @property endpointerSensitivity Sensitivity of the speech model that detects the end of speech. Scale from 0 to 100.
 * @property models Mapping from language to Speech-to-Text model. The mapped Speech-to-Text model will be selected for requests from its corresponding language. For more information, see [Speech models](https://cloud.google.com/dialogflow/cx/docs/concept/speech-models).
 * An object containing a list of **"key": value** pairs. Example: **{ "name": "wrench", "mass": "1.3kg", "count": "3" }**.
 * @property noSpeechTimeout Timeout before detecting no speech.
 * A duration in seconds with up to nine fractional digits, ending with 's'. Example: "3.5s".
 * @property useTimeoutBasedEndpointing Use timeout based endpointing, interpreting endpointer sensitivity as seconds of timeout value.
 */
public data class CxFlowAdvancedSettingsSpeechSettings(
    public val endpointerSensitivity: Int? = null,
    public val models: Map? = null,
    public val noSpeechTimeout: String? = null,
    public val useTimeoutBasedEndpointing: Boolean? = null,
) {
    public companion object {
        public fun toKotlin(javaType: com.pulumi.gcp.diagflow.outputs.CxFlowAdvancedSettingsSpeechSettings): CxFlowAdvancedSettingsSpeechSettings = CxFlowAdvancedSettingsSpeechSettings(
            endpointerSensitivity = javaType.endpointerSensitivity().map({ args0 -> args0 }).orElse(null),
            models = javaType.models().map({ args0 -> args0.key.to(args0.value) }).toMap(),
            noSpeechTimeout = javaType.noSpeechTimeout().map({ args0 -> args0 }).orElse(null),
            useTimeoutBasedEndpointing = javaType.useTimeoutBasedEndpointing().map({ args0 ->
                args0
            }).orElse(null),
        )
    }
}