/
api_op_CreateDataset.go
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/
api_op_CreateDataset.go
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// Code generated by smithy-go-codegen DO NOT EDIT.
package rekognition
import (
"context"
awsmiddleware "github.com/aws/aws-sdk-go-v2/aws/middleware"
"github.com/aws/aws-sdk-go-v2/aws/signer/v4"
"github.com/aws/aws-sdk-go-v2/service/rekognition/types"
"github.com/aws/smithy-go/middleware"
smithyhttp "github.com/aws/smithy-go/transport/http"
)
// Creates a new Amazon Rekognition Custom Labels dataset. You can create a
// dataset by using an Amazon Sagemaker format manifest file or by copying an
// existing Amazon Rekognition Custom Labels dataset. To create a training dataset
// for a project, specify train for the value of DatasetType . To create the test
// dataset for a project, specify test for the value of DatasetType . The response
// from CreateDataset is the Amazon Resource Name (ARN) for the dataset. Creating
// a dataset takes a while to complete. Use DescribeDataset to check the current
// status. The dataset created successfully if the value of Status is
// CREATE_COMPLETE . To check if any non-terminal errors occurred, call
// ListDatasetEntries and check for the presence of errors lists in the JSON
// Lines. Dataset creation fails if a terminal error occurs ( Status =
// CREATE_FAILED ). Currently, you can't access the terminal error information. For
// more information, see Creating dataset in the Amazon Rekognition Custom Labels
// Developer Guide. This operation requires permissions to perform the
// rekognition:CreateDataset action. If you want to copy an existing dataset, you
// also require permission to perform the rekognition:ListDatasetEntries action.
func (c *Client) CreateDataset(ctx context.Context, params *CreateDatasetInput, optFns ...func(*Options)) (*CreateDatasetOutput, error) {
if params == nil {
params = &CreateDatasetInput{}
}
result, metadata, err := c.invokeOperation(ctx, "CreateDataset", params, optFns, c.addOperationCreateDatasetMiddlewares)
if err != nil {
return nil, err
}
out := result.(*CreateDatasetOutput)
out.ResultMetadata = metadata
return out, nil
}
type CreateDatasetInput struct {
// The type of the dataset. Specify train to create a training dataset. Specify
// test to create a test dataset.
//
// This member is required.
DatasetType types.DatasetType
// The ARN of the Amazon Rekognition Custom Labels project to which you want to
// asssign the dataset.
//
// This member is required.
ProjectArn *string
// The source files for the dataset. You can specify the ARN of an existing
// dataset or specify the Amazon S3 bucket location of an Amazon Sagemaker format
// manifest file. If you don't specify datasetSource , an empty dataset is created.
// To add labeled images to the dataset, You can use the console or call
// UpdateDatasetEntries .
DatasetSource *types.DatasetSource
noSmithyDocumentSerde
}
type CreateDatasetOutput struct {
// The ARN of the created Amazon Rekognition Custom Labels dataset.
DatasetArn *string
// Metadata pertaining to the operation's result.
ResultMetadata middleware.Metadata
noSmithyDocumentSerde
}
func (c *Client) addOperationCreateDatasetMiddlewares(stack *middleware.Stack, options Options) (err error) {
err = stack.Serialize.Add(&awsAwsjson11_serializeOpCreateDataset{}, middleware.After)
if err != nil {
return err
}
err = stack.Deserialize.Add(&awsAwsjson11_deserializeOpCreateDataset{}, middleware.After)
if err != nil {
return err
}
if err = addSetLoggerMiddleware(stack, options); err != nil {
return err
}
if err = awsmiddleware.AddClientRequestIDMiddleware(stack); err != nil {
return err
}
if err = smithyhttp.AddComputeContentLengthMiddleware(stack); err != nil {
return err
}
if err = addResolveEndpointMiddleware(stack, options); err != nil {
return err
}
if err = v4.AddComputePayloadSHA256Middleware(stack); err != nil {
return err
}
if err = addRetryMiddlewares(stack, options); err != nil {
return err
}
if err = addHTTPSignerV4Middleware(stack, options); err != nil {
return err
}
if err = awsmiddleware.AddRawResponseToMetadata(stack); err != nil {
return err
}
if err = awsmiddleware.AddRecordResponseTiming(stack); err != nil {
return err
}
if err = addClientUserAgent(stack); err != nil {
return err
}
if err = smithyhttp.AddErrorCloseResponseBodyMiddleware(stack); err != nil {
return err
}
if err = smithyhttp.AddCloseResponseBodyMiddleware(stack); err != nil {
return err
}
if err = addOpCreateDatasetValidationMiddleware(stack); err != nil {
return err
}
if err = stack.Initialize.Add(newServiceMetadataMiddleware_opCreateDataset(options.Region), middleware.Before); err != nil {
return err
}
if err = awsmiddleware.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
}
return nil
}
func newServiceMetadataMiddleware_opCreateDataset(region string) *awsmiddleware.RegisterServiceMetadata {
return &awsmiddleware.RegisterServiceMetadata{
Region: region,
ServiceID: ServiceID,
SigningName: "rekognition",
OperationName: "CreateDataset",
}
}