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

package transcribe

import (
	"context"
	"fmt"
	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/transcribe/types"
	"github.com/aws/smithy-go/middleware"
	smithyhttp "github.com/aws/smithy-go/transport/http"
)

// Transcribes the audio from a media file and applies any additional Request
// Parameters you choose to include in your request. To make a
// StartTranscriptionJob request, you must first upload your media file into an
// Amazon S3 bucket; you can then specify the Amazon S3 location of the file using
// the Media parameter. You must include the following parameters in your
// StartTranscriptionJob request:
//   - region : The Amazon Web Services Region where you are making your request.
//     For a list of Amazon Web Services Regions supported with Amazon Transcribe,
//     refer to Amazon Transcribe endpoints and quotas (https://docs.aws.amazon.com/general/latest/gr/transcribe.html)
//     .
//   - TranscriptionJobName : A custom name you create for your transcription job
//     that is unique within your Amazon Web Services account.
//   - Media ( MediaFileUri ): The Amazon S3 location of your media file.
//   - One of LanguageCode , IdentifyLanguage , or IdentifyMultipleLanguages : If
//     you know the language of your media file, specify it using the LanguageCode
//     parameter; you can find all valid language codes in the Supported languages (https://docs.aws.amazon.com/transcribe/latest/dg/supported-languages.html)
//     table. If you do not know the languages spoken in your media, use either
//     IdentifyLanguage or IdentifyMultipleLanguages and let Amazon Transcribe
//     identify the languages for you.
func (c *Client) StartTranscriptionJob(ctx context.Context, params *StartTranscriptionJobInput, optFns ...func(*Options)) (*StartTranscriptionJobOutput, error) {
	if params == nil {
		params = &StartTranscriptionJobInput{}
	}

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

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

type StartTranscriptionJobInput struct {

	// Describes the Amazon S3 location of the media file you want to use in your
	// request.
	//
	// This member is required.
	Media *types.Media

	// A unique name, chosen by you, for your transcription job. The name that you
	// specify is also used as the default name of your transcription output file. If
	// you want to specify a different name for your transcription output, use the
	// OutputKey parameter. This name is case sensitive, cannot contain spaces, and
	// must be unique within an Amazon Web Services account. If you try to create a new
	// job with the same name as an existing job, you get a ConflictException error.
	//
	// This member is required.
	TranscriptionJobName *string

	// Makes it possible to redact or flag specified personally identifiable
	// information (PII) in your transcript. If you use ContentRedaction , you must
	// also include the sub-parameters: RedactionOutput and RedactionType . You can
	// optionally include PiiEntityTypes to choose which types of PII you want to
	// redact. If you do not include PiiEntityTypes in your request, all PII is
	// redacted.
	ContentRedaction *types.ContentRedaction

	// Enables automatic language identification in your transcription job request.
	// Use this parameter if your media file contains only one language. If your media
	// contains multiple languages, use IdentifyMultipleLanguages instead. If you
	// include IdentifyLanguage , you can optionally include a list of language codes,
	// using LanguageOptions , that you think may be present in your media file.
	// Including LanguageOptions restricts IdentifyLanguage to only the language
	// options that you specify, which can improve transcription accuracy. If you want
	// to apply a custom language model, a custom vocabulary, or a custom vocabulary
	// filter to your automatic language identification request, include
	// LanguageIdSettings with the relevant sub-parameters ( VocabularyName ,
	// LanguageModelName , and VocabularyFilterName ). If you include
	// LanguageIdSettings , also include LanguageOptions . Note that you must include
	// one of LanguageCode , IdentifyLanguage , or IdentifyMultipleLanguages in your
	// request. If you include more than one of these parameters, your transcription
	// job fails.
	IdentifyLanguage *bool

	// Enables automatic multi-language identification in your transcription job
	// request. Use this parameter if your media file contains more than one language.
	// If your media contains only one language, use IdentifyLanguage instead. If you
	// include IdentifyMultipleLanguages , you can optionally include a list of
	// language codes, using LanguageOptions , that you think may be present in your
	// media file. Including LanguageOptions restricts IdentifyLanguage to only the
	// language options that you specify, which can improve transcription accuracy. If
	// you want to apply a custom vocabulary or a custom vocabulary filter to your
	// automatic language identification request, include LanguageIdSettings with the
	// relevant sub-parameters ( VocabularyName and VocabularyFilterName ). If you
	// include LanguageIdSettings , also include LanguageOptions . Note that you must
	// include one of LanguageCode , IdentifyLanguage , or IdentifyMultipleLanguages
	// in your request. If you include more than one of these parameters, your
	// transcription job fails.
	IdentifyMultipleLanguages *bool

	// Makes it possible to control how your transcription job is processed.
	// Currently, the only JobExecutionSettings modification you can choose is
	// enabling job queueing using the AllowDeferredExecution sub-parameter. If you
	// include JobExecutionSettings in your request, you must also include the
	// sub-parameters: AllowDeferredExecution and DataAccessRoleArn .
	JobExecutionSettings *types.JobExecutionSettings

	// A map of plain text, non-secret key:value pairs, known as encryption context
	// pairs, that provide an added layer of security for your data. For more
	// information, see KMS encryption context (https://docs.aws.amazon.com/transcribe/latest/dg/key-management.html#kms-context)
	// and Asymmetric keys in KMS (https://docs.aws.amazon.com/transcribe/latest/dg/symmetric-asymmetric.html)
	// .
	KMSEncryptionContext map[string]string

	// The language code that represents the language spoken in the input media file.
	// If you're unsure of the language spoken in your media file, consider using
	// IdentifyLanguage or IdentifyMultipleLanguages to enable automatic language
	// identification. Note that you must include one of LanguageCode ,
	// IdentifyLanguage , or IdentifyMultipleLanguages in your request. If you include
	// more than one of these parameters, your transcription job fails. For a list of
	// supported languages and their associated language codes, refer to the Supported
	// languages (https://docs.aws.amazon.com/transcribe/latest/dg/supported-languages.html)
	// table. To transcribe speech in Modern Standard Arabic ( ar-SA ), your media file
	// must be encoded at a sample rate of 16,000 Hz or higher.
	LanguageCode types.LanguageCode

	// If using automatic language identification in your request and you want to
	// apply a custom language model, a custom vocabulary, or a custom vocabulary
	// filter, include LanguageIdSettings with the relevant sub-parameters (
	// VocabularyName , LanguageModelName , and VocabularyFilterName ). Note that
	// multi-language identification ( IdentifyMultipleLanguages ) doesn't support
	// custom language models. LanguageIdSettings supports two to five language codes.
	// Each language code you include can have an associated custom language model,
	// custom vocabulary, and custom vocabulary filter. The language codes that you
	// specify must match the languages of the associated custom language models,
	// custom vocabularies, and custom vocabulary filters. It's recommended that you
	// include LanguageOptions when using LanguageIdSettings to ensure that the
	// correct language dialect is identified. For example, if you specify a custom
	// vocabulary that is in en-US but Amazon Transcribe determines that the language
	// spoken in your media is en-AU , your custom vocabulary is not applied to your
	// transcription. If you include LanguageOptions and include en-US as the only
	// English language dialect, your custom vocabulary is applied to your
	// transcription. If you want to include a custom language model with your request
	// but do not want to use automatic language identification, use instead the
	// parameter with the LanguageModelName sub-parameter. If you want to include a
	// custom vocabulary or a custom vocabulary filter (or both) with your request but
	// do not want to use automatic language identification, use instead the parameter
	// with the VocabularyName or VocabularyFilterName (or both) sub-parameter.
	LanguageIdSettings map[string]types.LanguageIdSettings

	// You can specify two or more language codes that represent the languages you
	// think may be present in your media. Including more than five is not recommended.
	// If you're unsure what languages are present, do not include this parameter. If
	// you include LanguageOptions in your request, you must also include
	// IdentifyLanguage . For more information, refer to Supported languages (https://docs.aws.amazon.com/transcribe/latest/dg/supported-languages.html)
	// . To transcribe speech in Modern Standard Arabic ( ar-SA ), your media file must
	// be encoded at a sample rate of 16,000 Hz or higher.
	LanguageOptions []types.LanguageCode

	// Specify the format of your input media file.
	MediaFormat types.MediaFormat

	// The sample rate, in hertz, of the audio track in your input media file. If you
	// do not specify the media sample rate, Amazon Transcribe determines it for you.
	// If you specify the sample rate, it must match the rate detected by Amazon
	// Transcribe. If there's a mismatch between the value that you specify and the
	// value detected, your job fails. In most cases, you can omit MediaSampleRateHertz
	// and let Amazon Transcribe determine the sample rate.
	MediaSampleRateHertz *int32

	// Specify the custom language model you want to include with your transcription
	// job. If you include ModelSettings in your request, you must include the
	// LanguageModelName sub-parameter. For more information, see Custom language
	// models (https://docs.aws.amazon.com/transcribe/latest/dg/custom-language-models.html)
	// .
	ModelSettings *types.ModelSettings

	// The name of the Amazon S3 bucket where you want your transcription output
	// stored. Do not include the S3:// prefix of the specified bucket. If you want
	// your output to go to a sub-folder of this bucket, specify it using the OutputKey
	// parameter; OutputBucketName only accepts the name of a bucket. For example, if
	// you want your output stored in S3://DOC-EXAMPLE-BUCKET , set OutputBucketName
	// to DOC-EXAMPLE-BUCKET . However, if you want your output stored in
	// S3://DOC-EXAMPLE-BUCKET/test-files/ , set OutputBucketName to DOC-EXAMPLE-BUCKET
	// and OutputKey to test-files/ . Note that Amazon Transcribe must have permission
	// to use the specified location. You can change Amazon S3 permissions using the
	// Amazon Web Services Management Console (https://console.aws.amazon.com/s3) . See
	// also Permissions Required for IAM User Roles (https://docs.aws.amazon.com/transcribe/latest/dg/security_iam_id-based-policy-examples.html#auth-role-iam-user)
	// . If you do not specify OutputBucketName , your transcript is placed in a
	// service-managed Amazon S3 bucket and you are provided with a URI to access your
	// transcript.
	OutputBucketName *string

	// The KMS key you want to use to encrypt your transcription output. If using a
	// key located in the current Amazon Web Services account, you can specify your KMS
	// key in one of four ways:
	//   - Use the KMS key ID itself. For example, 1234abcd-12ab-34cd-56ef-1234567890ab
	//   .
	//   - Use an alias for the KMS key ID. For example, alias/ExampleAlias .
	//   - Use the Amazon Resource Name (ARN) for the KMS key ID. For example,
	//   arn:aws:kms:region:account-ID:key/1234abcd-12ab-34cd-56ef-1234567890ab .
	//   - Use the ARN for the KMS key alias. For example,
	//   arn:aws:kms:region:account-ID:alias/ExampleAlias .
	// If using a key located in a different Amazon Web Services account than the
	// current Amazon Web Services account, you can specify your KMS key in one of two
	// ways:
	//   - Use the ARN for the KMS key ID. For example,
	//   arn:aws:kms:region:account-ID:key/1234abcd-12ab-34cd-56ef-1234567890ab .
	//   - Use the ARN for the KMS key alias. For example,
	//   arn:aws:kms:region:account-ID:alias/ExampleAlias .
	// If you do not specify an encryption key, your output is encrypted with the
	// default Amazon S3 key (SSE-S3). If you specify a KMS key to encrypt your output,
	// you must also specify an output location using the OutputLocation parameter.
	// Note that the role making the request must have permission to use the specified
	// KMS key.
	OutputEncryptionKMSKeyId *string

	// Use in combination with OutputBucketName to specify the output location of your
	// transcript and, optionally, a unique name for your output file. The default name
	// for your transcription output is the same as the name you specified for your
	// transcription job ( TranscriptionJobName ). Here are some examples of how you
	// can use OutputKey :
	//   - If you specify 'DOC-EXAMPLE-BUCKET' as the OutputBucketName and
	//   'my-transcript.json' as the OutputKey , your transcription output path is
	//   s3://DOC-EXAMPLE-BUCKET/my-transcript.json .
	//   - If you specify 'my-first-transcription' as the TranscriptionJobName ,
	//   'DOC-EXAMPLE-BUCKET' as the OutputBucketName , and 'my-transcript' as the
	//   OutputKey , your transcription output path is
	//   s3://DOC-EXAMPLE-BUCKET/my-transcript/my-first-transcription.json .
	//   - If you specify 'DOC-EXAMPLE-BUCKET' as the OutputBucketName and
	//   'test-files/my-transcript.json' as the OutputKey , your transcription output
	//   path is s3://DOC-EXAMPLE-BUCKET/test-files/my-transcript.json .
	//   - If you specify 'my-first-transcription' as the TranscriptionJobName ,
	//   'DOC-EXAMPLE-BUCKET' as the OutputBucketName , and 'test-files/my-transcript'
	//   as the OutputKey , your transcription output path is
	//   s3://DOC-EXAMPLE-BUCKET/test-files/my-transcript/my-first-transcription.json .
	// If you specify the name of an Amazon S3 bucket sub-folder that doesn't exist,
	// one is created for you.
	OutputKey *string

	// Specify additional optional settings in your request, including channel
	// identification, alternative transcriptions, speaker partitioning. You can use
	// that to apply custom vocabularies and vocabulary filters. If you want to include
	// a custom vocabulary or a custom vocabulary filter (or both) with your request
	// but do not want to use automatic language identification, use Settings with the
	// VocabularyName or VocabularyFilterName (or both) sub-parameter. If you're using
	// automatic language identification with your request and want to include a custom
	// language model, a custom vocabulary, or a custom vocabulary filter, use instead
	// the parameter with the LanguageModelName , VocabularyName or
	// VocabularyFilterName sub-parameters.
	Settings *types.Settings

	// Produces subtitle files for your input media. You can specify WebVTT (*.vtt)
	// and SubRip (*.srt) formats.
	Subtitles *types.Subtitles

	// Adds one or more custom tags, each in the form of a key:value pair, to a new
	// transcription job at the time you start this new job. To learn more about using
	// tags with Amazon Transcribe, refer to Tagging resources (https://docs.aws.amazon.com/transcribe/latest/dg/tagging.html)
	// .
	Tags []types.Tag

	// Enables toxic speech detection in your transcript. If you include
	// ToxicityDetection in your request, you must also include ToxicityCategories .
	// For information on the types of toxic speech Amazon Transcribe can detect, see
	// Detecting toxic speech (https://docs.aws.amazon.com/transcribe/latest/dg/toxic-language.html)
	// .
	ToxicityDetection []types.ToxicityDetectionSettings

	noSmithyDocumentSerde
}

type StartTranscriptionJobOutput struct {

	// Provides detailed information about the current transcription job, including
	// job status and, if applicable, failure reason.
	TranscriptionJob *types.TranscriptionJob

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

	noSmithyDocumentSerde
}

func (c *Client) addOperationStartTranscriptionJobMiddlewares(stack *middleware.Stack, options Options) (err error) {
	if err := stack.Serialize.Add(&setOperationInputMiddleware{}, middleware.After); err != nil {
		return err
	}
	err = stack.Serialize.Add(&awsAwsjson11_serializeOpStartTranscriptionJob{}, middleware.After)
	if err != nil {
		return err
	}
	err = stack.Deserialize.Add(&awsAwsjson11_deserializeOpStartTranscriptionJob{}, middleware.After)
	if err != nil {
		return err
	}
	if err := addProtocolFinalizerMiddlewares(stack, options, "StartTranscriptionJob"); 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 = 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 = awsmiddleware.AddRawResponseToMetadata(stack); err != nil {
		return err
	}
	if err = awsmiddleware.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 = addOpStartTranscriptionJobValidationMiddleware(stack); err != nil {
		return err
	}
	if err = stack.Initialize.Add(newServiceMetadataMiddleware_opStartTranscriptionJob(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
	}
	if err = addDisableHTTPSMiddleware(stack, options); err != nil {
		return err
	}
	return nil
}

func newServiceMetadataMiddleware_opStartTranscriptionJob(region string) *awsmiddleware.RegisterServiceMetadata {
	return &awsmiddleware.RegisterServiceMetadata{
		Region:        region,
		ServiceID:     ServiceID,
		OperationName: "StartTranscriptionJob",
	}
}