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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 forecast
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/forecast/types"
"github.com/aws/smithy-go/middleware"
smithyhttp "github.com/aws/smithy-go/transport/http"
)
// Creates an Amazon Forecast dataset. The information about the dataset that you
// provide helps Forecast understand how to consume the data for model training.
// This includes the following:
//
// * DataFrequency - How frequently your historical
// time-series data is collected.
//
// * Domain and DatasetType - Each dataset has an
// associated dataset domain and a type within the domain. Amazon Forecast provides
// a list of predefined domains and types within each domain. For each unique
// dataset domain and type within the domain, Amazon Forecast requires your data to
// include a minimum set of predefined fields.
//
// * Schema - A schema specifies the
// fields in the dataset, including the field name and data type.
//
// After creating a
// dataset, you import your training data into it and add the dataset to a dataset
// group. You use the dataset group to create a predictor. For more information,
// see howitworks-datasets-groups. To get a list of all your datasets, use the
// ListDatasets operation. For example Forecast datasets, see the Amazon Forecast
// Sample GitHub repository
// (https://github.com/aws-samples/amazon-forecast-samples). The Status of a
// dataset must be ACTIVE before you can import training data. Use the
// DescribeDataset operation to get the status.
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, addOperationCreateDatasetMiddlewares)
if err != nil {
return nil, err
}
out := result.(*CreateDatasetOutput)
out.ResultMetadata = metadata
return out, nil
}
type CreateDatasetInput struct {
// A name for the dataset.
//
// This member is required.
DatasetName *string
// The dataset type. Valid values depend on the chosen Domain.
//
// This member is required.
DatasetType types.DatasetType
// The domain associated with the dataset. When you add a dataset to a dataset
// group, this value and the value specified for the Domain parameter of the
// CreateDatasetGroup operation must match. The Domain and DatasetType that you
// choose determine the fields that must be present in the training data that you
// import to the dataset. For example, if you choose the RETAIL domain and
// TARGET_TIME_SERIES as the DatasetType, Amazon Forecast requires item_id,
// timestamp, and demand fields to be present in your data. For more information,
// see howitworks-datasets-groups.
//
// This member is required.
Domain types.Domain
// The schema for the dataset. The schema attributes and their order must match the
// fields in your data. The dataset Domain and DatasetType that you choose
// determine the minimum required fields in your training data. For information
// about the required fields for a specific dataset domain and type, see
// howitworks-domains-ds-types.
//
// This member is required.
Schema *types.Schema
// The frequency of data collection. This parameter is required for
// RELATED_TIME_SERIES datasets. Valid intervals are Y (Year), M (Month), W (Week),
// D (Day), H (Hour), 30min (30 minutes), 15min (15 minutes), 10min (10 minutes),
// 5min (5 minutes), and 1min (1 minute). For example, "D" indicates every day and
// "15min" indicates every 15 minutes.
DataFrequency *string
// An AWS Key Management Service (KMS) key and the AWS Identity and Access
// Management (IAM) role that Amazon Forecast can assume to access the key.
EncryptionConfig *types.EncryptionConfig
// The optional metadata that you apply to the dataset to help you categorize and
// organize them. Each tag consists of a key and an optional value, both of which
// you define. The following basic restrictions apply to tags:
//
// * Maximum number of
// tags per resource - 50.
//
// * For each resource, each tag key must be unique, and
// each tag key can have only one value.
//
// * Maximum key length - 128 Unicode
// characters in UTF-8.
//
// * Maximum value length - 256 Unicode characters in
// UTF-8.
//
// * If your tagging schema is used across multiple services and resources,
// remember that other services may have restrictions on allowed characters.
// Generally allowed characters are: letters, numbers, and spaces representable in
// UTF-8, and the following characters: + - = . _ : / @.
//
// * Tag keys and values are
// case sensitive.
//
// * Do not use aws:, AWS:, or any upper or lowercase combination
// of such as a prefix for keys as it is reserved for AWS use. You cannot edit or
// delete tag keys with this prefix. Values can have this prefix. If a tag value
// has aws as its prefix but the key does not, then Forecast considers it to be a
// user tag and will count against the limit of 50 tags. Tags with only the key
// prefix of aws do not count against your tags per resource limit.
Tags []types.Tag
}
type CreateDatasetOutput struct {
// The Amazon Resource Name (ARN) of the dataset.
DatasetArn *string
// Metadata pertaining to the operation's result.
ResultMetadata middleware.Metadata
}
func 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 = 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: "forecast",
OperationName: "CreateDataset",
}
}