
src.dialogflow.v2.Evaluation.scala Maven / Gradle / Ivy
package besom.api.googlenative.dialogflow.v2
final case class Evaluation private(
urn: besom.types.Output[besom.types.URN],
id: besom.types.Output[besom.types.ResourceId],
conversationModelId: besom.types.Output[String],
createTime: besom.types.Output[String],
displayName: besom.types.Output[String],
evaluationConfig: besom.types.Output[besom.api.googlenative.dialogflow.v2.outputs.GoogleCloudDialogflowV2EvaluationConfigResponse],
location: besom.types.Output[String],
name: besom.types.Output[String],
project: besom.types.Output[String],
rawHumanEvalTemplateCsv: besom.types.Output[String],
smartReplyMetrics: besom.types.Output[besom.api.googlenative.dialogflow.v2.outputs.GoogleCloudDialogflowV2SmartReplyMetricsResponse]
) extends besom.CustomResource
object Evaluation extends besom.ResourceCompanion[Evaluation]:
/** Resource constructor for Evaluation.
*
* @param name [[besom.util.NonEmptyString]] The unique (stack-wise) name of the resource in Pulumi state (not on provider's side).
* NonEmptyString is inferred automatically from non-empty string literals, even when interpolated. If you encounter any
* issues with this, please try using `: NonEmptyString` type annotation. If you need to convert a dynamically generated
* string to NonEmptyString, use `NonEmptyString.apply` method - `NonEmptyString(str): Option[NonEmptyString]`.
*
* @param args [[EvaluationArgs]] The configuration to use to create this resource.
*
* @param opts [[besom.CustomResourceOptions]] Resource options to use for this resource.
* Defaults to empty options. If you need to set some options, use [[besom.opts]] function to create them, for example:
*
* {{{
* val res = Evaluation(
* "my-resource",
* EvaluationArgs(...), // your args
* opts(provider = myProvider)
* )
* }}}
*/
def apply(using ctx: besom.types.Context)(
name: besom.util.NonEmptyString,
args: EvaluationArgs,
opts: besom.ResourceOptsVariant.Custom ?=> besom.CustomResourceOptions = besom.CustomResourceOptions()
): besom.types.Output[Evaluation] =
ctx.readOrRegisterResource[Evaluation, EvaluationArgs]("google-native:dialogflow/v2:Evaluation", name, args, opts(using besom.ResourceOptsVariant.Custom))
private[besom] def typeToken: besom.types.ResourceType = "google-native:dialogflow/v2:Evaluation"
given resourceDecoder(using besom.types.Context): besom.types.ResourceDecoder[Evaluation] =
besom.internal.ResourceDecoder.derived[Evaluation]
given decoder(using besom.types.Context): besom.types.Decoder[Evaluation] =
besom.internal.Decoder.customResourceDecoder[Evaluation]
given outputOps: {} with
extension(output: besom.types.Output[Evaluation])
def urn : besom.types.Output[besom.types.URN] = output.flatMap(_.urn)
def id : besom.types.Output[besom.types.ResourceId] = output.flatMap(_.id)
def conversationModelId : besom.types.Output[String] = output.flatMap(_.conversationModelId)
def createTime : besom.types.Output[String] = output.flatMap(_.createTime)
def displayName : besom.types.Output[String] = output.flatMap(_.displayName)
def evaluationConfig : besom.types.Output[besom.api.googlenative.dialogflow.v2.outputs.GoogleCloudDialogflowV2EvaluationConfigResponse] = output.flatMap(_.evaluationConfig)
def location : besom.types.Output[String] = output.flatMap(_.location)
def name : besom.types.Output[String] = output.flatMap(_.name)
def project : besom.types.Output[String] = output.flatMap(_.project)
def rawHumanEvalTemplateCsv : besom.types.Output[String] = output.flatMap(_.rawHumanEvalTemplateCsv)
def smartReplyMetrics : besom.types.Output[besom.api.googlenative.dialogflow.v2.outputs.GoogleCloudDialogflowV2SmartReplyMetricsResponse] = output.flatMap(_.smartReplyMetrics)
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