// Code generated by smithy-go-codegen DO NOT EDIT.

package forecast

import (
	"context"
	"fmt"
	awsmiddleware "github.com/aws/aws-sdk-go-v2/aws/middleware"
	"github.com/aws/aws-sdk-go-v2/service/forecast/types"
	"github.com/aws/smithy-go/middleware"
	smithyhttp "github.com/aws/smithy-go/transport/http"
)

// Imports your training data to an Amazon Forecast dataset. You provide the
// location of your training data in an Amazon Simple Storage Service (Amazon S3)
// bucket and the Amazon Resource Name (ARN) of the dataset that you want to import
// the data to.
//
// You must specify a [DataSource] object that includes an Identity and Access Management
// (IAM) role that Amazon Forecast can assume to access the data, as Amazon
// Forecast makes a copy of your data and processes it in an internal Amazon Web
// Services system. For more information, see [Set up permissions].
//
// The training data must be in CSV or Parquet format. The delimiter must be a
// comma (,).
//
// You can specify the path to a specific file, the S3 bucket, or to a folder in
// the S3 bucket. For the latter two cases, Amazon Forecast imports all files up to
// the limit of 10,000 files.
//
// Because dataset imports are not aggregated, your most recent dataset import is
// the one that is used when training a predictor or generating a forecast. Make
// sure that your most recent dataset import contains all of the data you want to
// model off of, and not just the new data collected since the previous import.
//
// To get a list of all your dataset import jobs, filtered by specified criteria,
// use the [ListDatasetImportJobs]operation.
//
// [ListDatasetImportJobs]: https://docs.aws.amazon.com/forecast/latest/dg/API_ListDatasetImportJobs.html
// [Set up permissions]: https://docs.aws.amazon.com/forecast/latest/dg/aws-forecast-iam-roles.html
// [DataSource]: https://docs.aws.amazon.com/forecast/latest/dg/API_DataSource.html
func (c *Client) CreateDatasetImportJob(ctx context.Context, params *CreateDatasetImportJobInput, optFns ...func(*Options)) (*CreateDatasetImportJobOutput, error) {
	if params == nil {
		params = &CreateDatasetImportJobInput{}
	}

	result, metadata, err := c.invokeOperation(ctx, "CreateDatasetImportJob", params, optFns, c.addOperationCreateDatasetImportJobMiddlewares)
	if err != nil {
		return nil, err
	}

	out := result.(*CreateDatasetImportJobOutput)
	out.ResultMetadata = metadata
	return out, nil
}

type CreateDatasetImportJobInput struct {

	// The location of the training data to import and an Identity and Access
	// Management (IAM) role that Amazon Forecast can assume to access the data. The
	// training data must be stored in an Amazon S3 bucket.
	//
	// If encryption is used, DataSource must include an Key Management Service (KMS)
	// key and the IAM role must allow Amazon Forecast permission to access the key.
	// The KMS key and IAM role must match those specified in the EncryptionConfig
	// parameter of the [CreateDataset]operation.
	//
	// [CreateDataset]: https://docs.aws.amazon.com/forecast/latest/dg/API_CreateDataset.html
	//
	// This member is required.
	DataSource *types.DataSource

	// The Amazon Resource Name (ARN) of the Amazon Forecast dataset that you want to
	// import data to.
	//
	// This member is required.
	DatasetArn *string

	// The name for the dataset import job. We recommend including the current
	// timestamp in the name, for example, 20190721DatasetImport . This can help you
	// avoid getting a ResourceAlreadyExistsException exception.
	//
	// This member is required.
	DatasetImportJobName *string

	// The format of the imported data, CSV or PARQUET. The default value is CSV.
	Format *string

	// The format of the geolocation attribute. The geolocation attribute can be
	// formatted in one of two ways:
	//
	//   - LAT_LONG - the latitude and longitude in decimal format (Example:
	//   47.61_-122.33).
	//
	//   - CC_POSTALCODE (US Only) - the country code (US), followed by the 5-digit ZIP
	//   code (Example: US_98121).
	GeolocationFormat *string

	// Specifies whether the dataset import job is a FULL or INCREMENTAL import. A FULL
	// dataset import replaces all of the existing data with the newly imported data.
	// An INCREMENTAL import appends the imported data to the existing data.
	ImportMode types.ImportMode

	// The optional metadata that you apply to the dataset import job 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 Amazon Web Services 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

	// A single time zone for every item in your dataset. This option is ideal for
	// datasets with all timestamps within a single time zone, or if all timestamps are
	// normalized to a single time zone.
	//
	// Refer to the [Joda-Time API] for a complete list of valid time zone names.
	//
	// [Joda-Time API]: http://joda-time.sourceforge.net/timezones.html
	TimeZone *string

	// The format of timestamps in the dataset. The format that you specify depends on
	// the DataFrequency specified when the dataset was created. The following formats
	// are supported
	//
	//   - "yyyy-MM-dd"
	//
	// For the following data frequencies: Y, M, W, and D
	//
	//   - "yyyy-MM-dd HH:mm:ss"
	//
	// For the following data frequencies: H, 30min, 15min, and 1min; and optionally,
	//   for: Y, M, W, and D
	//
	// If the format isn't specified, Amazon Forecast expects the format to be
	// "yyyy-MM-dd HH:mm:ss".
	TimestampFormat *string

	// Automatically derive time zone information from the geolocation attribute. This
	// option is ideal for datasets that contain timestamps in multiple time zones and
	// those timestamps are expressed in local time.
	UseGeolocationForTimeZone bool

	noSmithyDocumentSerde
}

type CreateDatasetImportJobOutput struct {

	// The Amazon Resource Name (ARN) of the dataset import job.
	DatasetImportJobArn *string

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata

	noSmithyDocumentSerde
}

func (c *Client) addOperationCreateDatasetImportJobMiddlewares(stack *middleware.Stack, options Options) (err error) {
	if err := stack.Serialize.Add(&setOperationInputMiddleware{}, middleware.After); err != nil {
		return err
	}
	err = stack.Serialize.Add(&awsAwsjson11_serializeOpCreateDatasetImportJob{}, middleware.After)
	if err != nil {
		return err
	}
	err = stack.Deserialize.Add(&awsAwsjson11_deserializeOpCreateDatasetImportJob{}, middleware.After)
	if err != nil {
		return err
	}
	if err := addProtocolFinalizerMiddlewares(stack, options, "CreateDatasetImportJob"); 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 = addOpCreateDatasetImportJobValidationMiddleware(stack); err != nil {
		return err
	}
	if err = stack.Initialize.Add(newServiceMetadataMiddleware_opCreateDatasetImportJob(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_opCreateDatasetImportJob(region string) *awsmiddleware.RegisterServiceMetadata {
	return &awsmiddleware.RegisterServiceMetadata{
		Region:        region,
		ServiceID:     ServiceID,
		OperationName: "CreateDatasetImportJob",
	}
}