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// Code generated by smithy-go-codegen DO NOT EDIT.
package neptunedata
import (
"context"
"fmt"
awsmiddleware "github.com/aws/aws-sdk-go-v2/aws/middleware"
"github.com/aws/smithy-go/middleware"
smithyhttp "github.com/aws/smithy-go/transport/http"
)
// Creates a new Neptune ML inference endpoint that lets you query one specific
// model that the model-training process constructed. See [Managing inference endpoints using the endpoints command].
//
// When invoking this operation in a Neptune cluster that has IAM authentication
// enabled, the IAM user or role making the request must have a policy attached
// that allows the [neptune-db:CreateMLEndpoint]IAM action in that cluster.
//
// [Managing inference endpoints using the endpoints command]: https://docs.aws.amazon.com/neptune/latest/userguide/machine-learning-api-endpoints.html
// [neptune-db:CreateMLEndpoint]: https://docs.aws.amazon.com/neptune/latest/userguide/iam-dp-actions.html#createmlendpoint
func (c *Client) CreateMLEndpoint(ctx context.Context, params *CreateMLEndpointInput, optFns ...func(*Options)) (*CreateMLEndpointOutput, error) {
if params == nil {
params = &CreateMLEndpointInput{}
}
result, metadata, err := c.invokeOperation(ctx, "CreateMLEndpoint", params, optFns, c.addOperationCreateMLEndpointMiddlewares)
if err != nil {
return nil, err
}
out := result.(*CreateMLEndpointOutput)
out.ResultMetadata = metadata
return out, nil
}
type CreateMLEndpointInput struct {
// A unique identifier for the new inference endpoint. The default is an
// autogenerated timestamped name.
Id *string
// The minimum number of Amazon EC2 instances to deploy to an endpoint for
// prediction. The default is 1
InstanceCount *int32
// The type of Neptune ML instance to use for online servicing. The default is
// ml.m5.xlarge . Choosing the ML instance for an inference endpoint depends on the
// task type, the graph size, and your budget.
InstanceType *string
// The job Id of the completed model-training job that has created the model that
// the inference endpoint will point to. You must supply either the
// mlModelTrainingJobId or the mlModelTransformJobId .
MlModelTrainingJobId *string
// The job Id of the completed model-transform job. You must supply either the
// mlModelTrainingJobId or the mlModelTransformJobId .
MlModelTransformJobId *string
// Model type for training. By default the Neptune ML model is automatically based
// on the modelType used in data processing, but you can specify a different model
// type here. The default is rgcn for heterogeneous graphs and kge for knowledge
// graphs. The only valid value for heterogeneous graphs is rgcn . Valid values for
// knowledge graphs are: kge , transe , distmult , and rotate .
ModelName *string
// The ARN of an IAM role providing Neptune access to SageMaker and Amazon S3
// resources. This must be listed in your DB cluster parameter group or an error
// will be thrown.
NeptuneIamRoleArn *string
// If set to true , update indicates that this is an update request. The default
// is false . You must supply either the mlModelTrainingJobId or the
// mlModelTransformJobId .
Update *bool
// The Amazon Key Management Service (Amazon KMS) key that SageMaker uses to
// encrypt data on the storage volume attached to the ML compute instances that run
// the training job. The default is None.
VolumeEncryptionKMSKey *string
noSmithyDocumentSerde
}
type CreateMLEndpointOutput struct {
// The ARN for the new inference endpoint.
Arn *string
// The endpoint creation time, in milliseconds.
CreationTimeInMillis *int64
// The unique ID of the new inference endpoint.
Id *string
// Metadata pertaining to the operation's result.
ResultMetadata middleware.Metadata
noSmithyDocumentSerde
}
func (c *Client) addOperationCreateMLEndpointMiddlewares(stack *middleware.Stack, options Options) (err error) {
if err := stack.Serialize.Add(&setOperationInputMiddleware{}, middleware.After); err != nil {
return err
}
err = stack.Serialize.Add(&awsRestjson1_serializeOpCreateMLEndpoint{}, middleware.After)
if err != nil {
return err
}
err = stack.Deserialize.Add(&awsRestjson1_deserializeOpCreateMLEndpoint{}, middleware.After)
if err != nil {
return err
}
if err := addProtocolFinalizerMiddlewares(stack, options, "CreateMLEndpoint"); err != nil {
return fmt.Errorf("add protocol finalizers: %v", err)
}
if err = addlegacyEndpointContextSetter(stack, options); err != nil {
return err
}
if err = addSetLoggerMiddleware(stack, options); err != nil {
return err
}
if err = addClientRequestID(stack); err != nil {
return err
}
if err = addComputeContentLength(stack); err != nil {
return err
}
if err = addResolveEndpointMiddleware(stack, options); err != nil {
return err
}
if err = addComputePayloadSHA256(stack); err != nil {
return err
}
if err = addRetry(stack, options); err != nil {
return err
}
if err = addRawResponseToMetadata(stack); err != nil {
return err
}
if err = addRecordResponseTiming(stack); err != nil {
return err
}
if err = addClientUserAgent(stack, options); err != nil {
return err
}
if err = smithyhttp.AddErrorCloseResponseBodyMiddleware(stack); err != nil {
return err
}
if err = smithyhttp.AddCloseResponseBodyMiddleware(stack); err != nil {
return err
}
if err = addSetLegacyContextSigningOptionsMiddleware(stack); err != nil {
return err
}
if err = addTimeOffsetBuild(stack, c); err != nil {
return err
}
if err = addUserAgentRetryMode(stack, options); err != nil {
return err
}
if err = stack.Initialize.Add(newServiceMetadataMiddleware_opCreateMLEndpoint(options.Region), middleware.Before); err != nil {
return err
}
if err = addRecursionDetection(stack); err != nil {
return err
}
if err = addRequestIDRetrieverMiddleware(stack); err != nil {
return err
}
if err = addResponseErrorMiddleware(stack); err != nil {
return err
}
if err = addRequestResponseLogging(stack, options); err != nil {
return err
}
if err = addDisableHTTPSMiddleware(stack, options); err != nil {
return err
}
return nil
}
func newServiceMetadataMiddleware_opCreateMLEndpoint(region string) *awsmiddleware.RegisterServiceMetadata {
return &awsmiddleware.RegisterServiceMetadata{
Region: region,
ServiceID: ServiceID,
OperationName: "CreateMLEndpoint",
}
}
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