diff --git a/CHANGELOG.md b/CHANGELOG.md index ead8cb8beb6..09dad635be5 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,3 +1,12 @@ +Release v1.43.16 (2022-03-10) +=== + +### Service Client Updates +* `service/models.lex.v2`: Updates service API +* `service/transcribe`: Updates service API and documentation +* `service/transfer`: Updates service API and documentation + * Adding more descriptive error types for managed workflows + Release v1.43.15 (2022-03-09) === diff --git a/aws/endpoints/defaults.go b/aws/endpoints/defaults.go index 35806073056..95f5502d768 100644 --- a/aws/endpoints/defaults.go +++ b/aws/endpoints/defaults.go @@ -24424,20 +24424,40 @@ var awsusgovPartition = partition{ "cloudtrail": service{ Endpoints: serviceEndpoints{ endpointKey{ - Region: "us-gov-east-1", + Region: "fips-us-gov-east-1", }: endpoint{ Hostname: "cloudtrail.us-gov-east-1.amazonaws.com", CredentialScope: credentialScope{ Region: "us-gov-east-1", }, + Deprecated: boxedTrue, }, endpointKey{ - Region: "us-gov-west-1", + Region: "fips-us-gov-west-1", }: endpoint{ Hostname: "cloudtrail.us-gov-west-1.amazonaws.com", CredentialScope: credentialScope{ Region: "us-gov-west-1", }, + Deprecated: boxedTrue, + }, + endpointKey{ + Region: "us-gov-east-1", + }: endpoint{}, + endpointKey{ + Region: "us-gov-east-1", + Variant: fipsVariant, + }: endpoint{ + Hostname: "cloudtrail.us-gov-east-1.amazonaws.com", + }, + endpointKey{ + Region: "us-gov-west-1", + }: endpoint{}, + endpointKey{ + Region: "us-gov-west-1", + Variant: fipsVariant, + }: endpoint{ + Hostname: "cloudtrail.us-gov-west-1.amazonaws.com", }, }, }, diff --git a/aws/version.go b/aws/version.go index 0aa6c3a300e..046f7e89c16 100644 --- a/aws/version.go +++ b/aws/version.go @@ -5,4 +5,4 @@ package aws const SDKName = "aws-sdk-go" // SDKVersion is the version of this SDK -const SDKVersion = "1.43.15" +const SDKVersion = "1.43.16" diff --git a/models/apis/models.lex.v2/2020-08-07/api-2.json b/models/apis/models.lex.v2/2020-08-07/api-2.json index 65d48057615..1a2766d3b5a 100644 --- a/models/apis/models.lex.v2/2020-08-07/api-2.json +++ b/models/apis/models.lex.v2/2020-08-07/api-2.json @@ -2150,7 +2150,6 @@ "type":"structure", "required":[ "slotName", - "slotTypeId", "valueElicitationSetting", "botId", "botVersion", @@ -5304,7 +5303,6 @@ "required":[ "slotId", "slotName", - "slotTypeId", "valueElicitationSetting", "botId", "botVersion", diff --git a/models/apis/transcribe/2017-10-26/api-2.json b/models/apis/transcribe/2017-10-26/api-2.json index 9ce621d54b1..a237da498c2 100644 --- a/models/apis/transcribe/2017-10-26/api-2.json +++ b/models/apis/transcribe/2017-10-26/api-2.json @@ -1368,6 +1368,11 @@ "type":"string", "enum":["PHI"] }, + "MedicalMediaSampleRateHertz":{ + "type":"integer", + "max":48000, + "min":16000 + }, "MedicalTranscript":{ "type":"structure", "members":{ @@ -1380,7 +1385,7 @@ "MedicalTranscriptionJobName":{"shape":"TranscriptionJobName"}, "TranscriptionJobStatus":{"shape":"TranscriptionJobStatus"}, "LanguageCode":{"shape":"LanguageCode"}, - "MediaSampleRateHertz":{"shape":"MediaSampleRateHertz"}, + "MediaSampleRateHertz":{"shape":"MedicalMediaSampleRateHertz"}, "MediaFormat":{"shape":"MediaFormat"}, "Media":{"shape":"Media"}, "Transcript":{"shape":"MedicalTranscript"}, @@ -1654,7 +1659,7 @@ "members":{ "MedicalTranscriptionJobName":{"shape":"TranscriptionJobName"}, "LanguageCode":{"shape":"LanguageCode"}, - "MediaSampleRateHertz":{"shape":"MediaSampleRateHertz"}, + "MediaSampleRateHertz":{"shape":"MedicalMediaSampleRateHertz"}, "MediaFormat":{"shape":"MediaFormat"}, "Media":{"shape":"Media"}, "OutputBucketName":{"shape":"OutputBucketName"}, diff --git a/models/apis/transcribe/2017-10-26/docs-2.json b/models/apis/transcribe/2017-10-26/docs-2.json index 05d19837388..71a00d62e40 100644 --- a/models/apis/transcribe/2017-10-26/docs-2.json +++ b/models/apis/transcribe/2017-10-26/docs-2.json @@ -2,23 +2,23 @@ "version": "2.0", "service": "

Operations and objects for transcribing speech to text.

", "operations": { - "CreateCallAnalyticsCategory": "

Creates an analytics category. Amazon Transcribe applies the conditions specified by your analytics categories to your call analytics jobs. For each analytics category, you specify one or more rules. For example, you can specify a rule that the customer sentiment was neutral or negative within that category. If you start a call analytics job, Amazon Transcribe applies the category to the analytics job that you've specified.

", - "CreateLanguageModel": "

Creates a new custom language model. Use Amazon S3 prefixes to provide the location of your input files. The time it takes to create your model depends on the size of your training data.

", - "CreateMedicalVocabulary": "

Creates a new custom vocabulary that you can use to modify how Amazon Transcribe Medical transcribes your audio file.

", - "CreateVocabulary": "

Creates a new custom vocabulary that you can use to change the way Amazon Transcribe handles transcription of an audio file.

", - "CreateVocabularyFilter": "

Creates a new vocabulary filter that you can use to filter words, such as profane words, from the output of a transcription job.

", - "DeleteCallAnalyticsCategory": "

Deletes a call analytics category using its name.

", - "DeleteCallAnalyticsJob": "

Deletes a call analytics job using its name.

", - "DeleteLanguageModel": "

Deletes a custom language model using its name.

", - "DeleteMedicalTranscriptionJob": "

Deletes a transcription job generated by Amazon Transcribe Medical and any related information.

", - "DeleteMedicalVocabulary": "

Deletes a vocabulary from Amazon Transcribe Medical.

", - "DeleteTranscriptionJob": "

Deletes a previously submitted transcription job along with any other generated results such as the transcription, models, and so on.

", - "DeleteVocabulary": "

Deletes a vocabulary from Amazon Transcribe.

", - "DeleteVocabularyFilter": "

Removes a vocabulary filter.

", - "DescribeLanguageModel": "

Gets information about a single custom language model. Use this information to see details about the language model in your Amazon Web Services account. You can also see whether the base language model used to create your custom language model has been updated. If Amazon Transcribe has updated the base model, you can create a new custom language model using the updated base model. If the language model wasn't created, you can use this operation to understand why Amazon Transcribe couldn't create it.

", + "CreateCallAnalyticsCategory": "

Creates a call analytics category. Amazon Transcribe applies the conditions specified by your call analytics categories to your call analytics jobs. For each analytics category, you must create between 1 and 20 rules. For example, you can create a 'greeting' category with a rule that flags calls in which your agent does not use a specified phrase (for example: \"Please note this call may be recorded.\") in the first 15 seconds of the call. When you start a call analytics job, Amazon Transcribe applies all your existing call analytics categories to that job.

", + "CreateLanguageModel": "

Creates a new custom language model. When creating a new language model, you must specify if you want a Wideband (audio sample rates over 16,000 Hz) or Narrowband (audio sample rates under 16,000 Hz) base model. You then include the S3 URI location of your training and tuning files, the language for the model, a unique name, and any tags you want associated with your model.

", + "CreateMedicalVocabulary": "

Creates a new custom medical vocabulary.

When creating a new medical vocabulary, you must upload a text file that contains your new entries, phrases, and terms into an S3 bucket. Note that this differs from , where you can include a list of terms within your request using the Phrases flag, as CreateMedicalVocabulary does not support the Phrases flag.

For more information on creating a custom vocabulary text file, see Creating a custom vocabulary.

", + "CreateVocabulary": "

Creates a new custom vocabulary.

When creating a new medical vocabulary, you can either upload a text file that contains your new entries, phrases, and terms into an S3 bucket or include a list of terms directly in your request using the Phrases flag.

For more information on creating a custom vocabulary, see Creating a custom vocabulary.

", + "CreateVocabularyFilter": "

Creates a new vocabulary filter that you can use to filter words from your transcription output. For example, you can use this operation to remove profanity from your transcript.

", + "DeleteCallAnalyticsCategory": "

Deletes a call analytics category. To use this operation, specify the name of the category you want to delete using CategoryName.

", + "DeleteCallAnalyticsJob": "

Deletes a call analytics job. To use this operation, specify the name of the job you want to delete using CallAnalyticsJobName.

", + "DeleteLanguageModel": "

Deletes a custom language model. To use this operation, specify the name of the language model you want to delete using ModelName.

", + "DeleteMedicalTranscriptionJob": "

Deletes a medical transcription job, along with any related information. To use this operation, specify the name of the job you want to delete using MedicalTranscriptionJobName.

", + "DeleteMedicalVocabulary": "

Deletes a custom medical vocabulary. To use this operation, specify the name of the vocabulary you want to delete using VocabularyName.

", + "DeleteTranscriptionJob": "

Deletes a transcription job, along with any related information. To use this operation, specify the name of the job you want to delete using TranscriptionJobName.

", + "DeleteVocabulary": "

Deletes a custom vocabulary. To use this operation, specify the name of the vocabulary you want to delete using VocabularyName.

", + "DeleteVocabularyFilter": "

Deletes a vocabulary filter. To use this operation, specify the name of the vocabulary filter you want to delete using VocabularyFilterName.

", + "DescribeLanguageModel": "

Provides information about a specific custom language model in your Amazon Web Services account.

This operation also shows if the base language model you used to create your custom language model has been updated. If Amazon Transcribe has updated the base model, you can create a new custom language model using the updated base model.

If you tried to create a new custom language model and the request wasn't successful, you can use this operation to help identify the reason.

", "GetCallAnalyticsCategory": "

Retrieves information about a call analytics category.

", - "GetCallAnalyticsJob": "

Returns information about a call analytics job. To see the status of the job, check the CallAnalyticsJobStatus field. If the status is COMPLETED, the job is finished and you can find the results at the location specified in the TranscriptFileUri field. If you enable personally identifiable information (PII) redaction, the redacted transcript appears in the RedactedTranscriptFileUri field.

", - "GetMedicalTranscriptionJob": "

Returns information about a transcription job from Amazon Transcribe Medical. To see the status of the job, check the TranscriptionJobStatus field. If the status is COMPLETED, the job is finished. You find the results of the completed job in the TranscriptFileUri field.

", + "GetCallAnalyticsJob": "

Retrieves information about a call analytics job.

To view the job's status, refer to the CallAnalyticsJobStatus field. If the status is COMPLETED, the job is finished. You can then find your transcript at the URI specified in the TranscriptFileUri field. If you enabled personally identifiable information (PII) redaction, the redacted transcript appears in the RedactedTranscriptFileUri field.

", + "GetMedicalTranscriptionJob": "

Retrieves information about a medical transcription job.

To view the job's status, refer to the TranscriptionJobStatus field. If the status is COMPLETED, the job is finished. You can then find your transcript at the URI specified in the TranscriptFileUri field.

", "GetMedicalVocabulary": "

Retrieves information about a medical vocabulary.

", "GetTranscriptionJob": "

Returns information about a transcription job. To see the status of the job, check the TranscriptionJobStatus field. If the status is COMPLETED, the job is finished and you can find the results at the location specified in the TranscriptFileUri field. If you enable content redaction, the redacted transcript appears in RedactedTranscriptFileUri.

", "GetVocabulary": "

Gets information about a vocabulary.

", @@ -60,8 +60,8 @@ "BaseModelName": { "base": null, "refs": { - "CreateLanguageModelRequest$BaseModelName": "

The Amazon Transcribe standard language model, or base model used to create your custom language model.

If you want to use your custom language model to transcribe audio with a sample rate of 16,000 Hz or greater, choose Wideband.

If you want to use your custom language model to transcribe audio with a sample rate that is less than 16,000 Hz, choose Narrowband.

", - "CreateLanguageModelResponse$BaseModelName": "

The Amazon Transcribe standard language model, or base model you've used to create a custom language model.

", + "CreateLanguageModelRequest$BaseModelName": "

The Amazon Transcribe standard language model, or base model, used to create your custom language model. Amazon Transcribe offers two options for base models: Wideband and Narrowband.

If the audio you want to transcribe has a sample rate of 16,000 Hz or greater, choose WideBand. To transcribe audio with a sample rate less than 16,000 Hz, choose NarrowBand.

", + "CreateLanguageModelResponse$BaseModelName": "

The Amazon Transcribe standard language model, or base model, you used when creating your custom language model.

If your audio has a sample rate of 16,000 Hz or greater, this value should be WideBand. If your audio has a sample rate of less than 16,000 Hz, this value should be NarrowBand.

", "LanguageModel$BaseModelName": "

The Amazon Transcribe standard language model, or base model used to create the custom language model.

" } }, @@ -70,7 +70,7 @@ "refs": { "InterruptionFilter$Negate": "

Set to TRUE to look for a time period where there was no interruption.

", "JobExecutionSettings$AllowDeferredExecution": "

Indicates whether a job should be queued by Amazon Transcribe when the concurrent execution limit is exceeded. When the AllowDeferredExecution field is true, jobs are queued and executed when the number of executing jobs falls below the concurrent execution limit. If the field is false, Amazon Transcribe returns a LimitExceededException exception.

Note that job queuing is enabled by default for call analytics jobs.

If you specify the AllowDeferredExecution field, you must specify the DataAccessRoleArn field.

", - "LanguageModel$UpgradeAvailability": "

Whether the base model used for the custom language model is up to date. If this field is true then you are running the most up-to-date version of the base model in your custom language model.

", + "LanguageModel$UpgradeAvailability": "

Whether the base model used for the custom language model is up to date. If this field is false then you are running the most up-to-date version of the base model in your custom language model.

", "MedicalTranscriptionSetting$ShowSpeakerLabels": "

Determines whether the transcription job uses speaker recognition to identify different speakers in the input audio. Speaker recognition labels individual speakers in the audio file. If you set the ShowSpeakerLabels field to true, you must also set the maximum number of speaker labels in the MaxSpeakerLabels field.

You can't set both ShowSpeakerLabels and ChannelIdentification in the same request. If you set both, your request returns a BadRequestException.

", "MedicalTranscriptionSetting$ChannelIdentification": "

Instructs Amazon Transcribe Medical to process each audio channel separately and then merge the transcription output of each channel into a single transcription.

Amazon Transcribe Medical also produces a transcription of each item detected on an audio channel, including the start time and end time of the item and alternative transcriptions of item. The alternative transcriptions also come with confidence scores provided by Amazon Transcribe Medical.

You can't set both ShowSpeakerLabels and ChannelIdentification in the same request. If you set both, your request returns a BadRequestException.

", "MedicalTranscriptionSetting$ShowAlternatives": "

Determines whether alternative transcripts are generated along with the transcript that has the highest confidence. If you set ShowAlternatives field to true, you must also set the maximum number of alternatives to return in the MaxAlternatives field.

", @@ -88,15 +88,15 @@ "CLMLanguageCode": { "base": null, "refs": { - "CreateLanguageModelRequest$LanguageCode": "

The language of the input text you're using to train your custom language model.

", - "CreateLanguageModelResponse$LanguageCode": "

The language code of the text you've used to create a custom language model.

", + "CreateLanguageModelRequest$LanguageCode": "

The language of your custom language model; note that the language code you select must match the language of your training and tuning data.

", + "CreateLanguageModelResponse$LanguageCode": "

The language code you selected for your custom language model.

", "LanguageModel$LanguageCode": "

The language code you used to create your custom language model.

" } }, "CallAnalyticsJob": { "base": "

Describes an asynchronous analytics job that was created with the StartAnalyticsJob operation.

", "refs": { - "GetCallAnalyticsJobResponse$CallAnalyticsJob": "

An object that contains the results of your call analytics job.

", + "GetCallAnalyticsJobResponse$CallAnalyticsJob": "

An object that contains detailed information about your call analytics job. Returned fields include: CallAnalyticsJobName, CallAnalyticsJobStatus, ChannelDefinitions, CompletionTime, CreationTime, DataAccessRoleArn, FailureReason, IdentifiedLanguageScore, LanguageCode, Media, MediaFormat, MediaSampleRateHertz, Settings, StartTime, and Transcript.

", "StartCallAnalyticsJobResponse$CallAnalyticsJob": "

An object containing the details of the asynchronous call analytics job.

" } }, @@ -105,8 +105,8 @@ "refs": { "CallAnalyticsJob$CallAnalyticsJobName": "

The name of the call analytics job.

", "CallAnalyticsJobSummary$CallAnalyticsJobName": "

The name of the call analytics job.

", - "DeleteCallAnalyticsJobRequest$CallAnalyticsJobName": "

The name of the call analytics job you want to delete.

", - "GetCallAnalyticsJobRequest$CallAnalyticsJobName": "

The name of the analytics job you want information about. This value is case sensitive.

", + "DeleteCallAnalyticsJobRequest$CallAnalyticsJobName": "

The name of the call analytics job you want to delete. Job names are case-sensitive.

", + "GetCallAnalyticsJobRequest$CallAnalyticsJobName": "

The name of the analytics job you want information about. This value is case sensitive.

", "ListCallAnalyticsJobsRequest$JobNameContains": "

When specified, the jobs returned in the list are limited to jobs whose name contains the specified string.

", "StartCallAnalyticsJobRequest$CallAnalyticsJobName": "

The name of the call analytics job. You can't use the string \".\" or \"..\" by themselves as the job name. The name must also be unique within an Amazon Web Services account. If you try to create a call analytics job with the same name as a previous call analytics job, you get a ConflictException error.

" } @@ -143,9 +143,9 @@ "base": null, "refs": { "CategoryProperties$CategoryName": "

The name of the call analytics category.

", - "CreateCallAnalyticsCategoryRequest$CategoryName": "

The name that you choose for your category when you create it.

", - "DeleteCallAnalyticsCategoryRequest$CategoryName": "

The name of the call analytics category that you're choosing to delete. The value is case sensitive.

", - "GetCallAnalyticsCategoryRequest$CategoryName": "

The name of the category you want information about. This value is case sensitive.

", + "CreateCallAnalyticsCategoryRequest$CategoryName": "

A unique name, chosen by you, for your call analytics category. For example, sentiment-positive-last30seconds.

", + "DeleteCallAnalyticsCategoryRequest$CategoryName": "

The name of the call analytics category you want to delete. Category names are case-sensitive.

", + "GetCallAnalyticsCategoryRequest$CategoryName": "

The name of the category you want information about. Category names are case sensitive.

", "UpdateCallAnalyticsCategoryRequest$CategoryName": "

The name of the analytics category to update. The name is case sensitive. If you try to update a call analytics category with the same name as a previous category you will receive a ConflictException error.

" } }, @@ -153,8 +153,8 @@ "base": "

An object that contains the rules and additional information about a call analytics category.

", "refs": { "CategoryPropertiesList$member": null, - "CreateCallAnalyticsCategoryResponse$CategoryProperties": "

The rules and associated metadata used to create a category.

", - "GetCallAnalyticsCategoryResponse$CategoryProperties": "

The rules you've defined for a category.

", + "CreateCallAnalyticsCategoryResponse$CategoryProperties": "

If your audio matches one of your categories, this field contains data on that category and its associated rules. This parameter shows which category is flagged (CategoryName) along with metadata for the rules that match your audio. Metadata includes the rule filter (such as InterruptionFilter, NonTalkTimeFilter, SentimentFilter, and TranscriptFilter) and where in your audio (StartTime and EndTime) the rule has a match.

", + "GetCallAnalyticsCategoryResponse$CategoryProperties": "

Provides you with the rules associated with the category you specified in your GetCallAnalyticsCategory request.

", "UpdateCallAnalyticsCategoryResponse$CategoryProperties": "

The attributes describing the analytics category. You can see information such as the rules that you've used to update the category and when the category was originally created.

" } }, @@ -267,9 +267,9 @@ "CallAnalyticsJobSummary$CompletionTime": "

A timestamp that shows when the job was completed.

", "CategoryProperties$CreateTime": "

A timestamp that shows when the call analytics category was created.

", "CategoryProperties$LastUpdateTime": "

A timestamp that shows when the call analytics category was most recently updated.

", - "CreateMedicalVocabularyResponse$LastModifiedTime": "

The date and time that you created the vocabulary.

", - "CreateVocabularyFilterResponse$LastModifiedTime": "

The date and time that the vocabulary filter was modified.

", - "CreateVocabularyResponse$LastModifiedTime": "

The date and time that the vocabulary was created.

", + "CreateMedicalVocabularyResponse$LastModifiedTime": "

The date and time you created your custom medical vocabulary.

", + "CreateVocabularyFilterResponse$LastModifiedTime": "

The date and time the vocabulary filter was modified.

", + "CreateVocabularyResponse$LastModifiedTime": "

The date and time you created your custom vocabulary.

", "GetMedicalVocabularyResponse$LastModifiedTime": "

The date and time that the vocabulary was last modified with a text file different from the one that was previously used.

", "GetVocabularyFilterResponse$LastModifiedTime": "

The date and time that the contents of the vocabulary filter were updated.

", "GetVocabularyResponse$LastModifiedTime": "

The date and time that the vocabulary was last modified.

", @@ -360,9 +360,9 @@ "BadRequestException$Message": null, "CallAnalyticsJob$FailureReason": "

If the AnalyticsJobStatus is FAILED, this field contains information about why the job failed.

The FailureReason field can contain one of the following values:

", "CallAnalyticsJobSummary$FailureReason": "

If the CallAnalyticsJobStatus is FAILED, a description of the error.

", - "CreateMedicalVocabularyResponse$FailureReason": "

If the VocabularyState field is FAILED, this field contains information about why the job failed.

", - "CreateVocabularyResponse$FailureReason": "

If the VocabularyState field is FAILED, this field contains information about why the job failed.

", - "GetMedicalVocabularyResponse$FailureReason": "

If the VocabularyState is FAILED, this field contains information about why the job failed.

", + "CreateMedicalVocabularyResponse$FailureReason": "

If the VocabularyState field is FAILED, FailureReason contains information about why the job failed.

", + "CreateVocabularyResponse$FailureReason": "

If the VocabularyState field is FAILED, FailureReason contains information about why the job failed.

", + "GetMedicalVocabularyResponse$FailureReason": "

If your request returns a VocabularyState that is FAILED, the FailureReason field contains information about why the request failed.

For more information, refer to the Common Errors section.

", "GetVocabularyResponse$FailureReason": "

If the VocabularyState field is FAILED, this field contains information about why the job failed.

", "LanguageModel$FailureReason": "

The reason why the custom language model couldn't be created.

", "MedicalTranscriptionJob$FailureReason": "

If the TranscriptionJobStatus field is FAILED, this field contains information about why the job failed.

The FailureReason field contains one of the following values:

", @@ -452,8 +452,8 @@ "InputDataConfig": { "base": "

The object that contains the Amazon S3 object location and access role required to train and tune your custom language model.

", "refs": { - "CreateLanguageModelRequest$InputDataConfig": "

Contains the data access role and the Amazon S3 prefixes to read the required input files to create a custom language model.

", - "CreateLanguageModelResponse$InputDataConfig": "

The data access role and Amazon S3 prefixes you've chosen to create your custom language model.

", + "CreateLanguageModelRequest$InputDataConfig": "

Contains your data access role ARN (Amazon Resource Name) and the Amazon S3 locations of your training (S3Uri) and tuning (TuningDataS3Uri) data.

", + "CreateLanguageModelResponse$InputDataConfig": "

Lists your data access role ARN (Amazon Resource Name) and the Amazon S3 locations your provided for your training (S3Uri) and tuning (TuningDataS3Uri) data.

", "LanguageModel$InputDataConfig": "

The data access role and Amazon S3 prefixes for the input files used to train the custom language model.

" } }, @@ -495,12 +495,12 @@ "refs": { "CallAnalyticsJob$LanguageCode": "

If you know the language spoken between the customer and the agent, specify a language code for this field.

If you don't know the language, you can leave this field blank, and Amazon Transcribe will use machine learning to automatically identify the language. To improve the accuracy of language identification, you can provide an array containing the possible language codes for the language spoken in your audio. Refer to Supported languages for additional information.

", "CallAnalyticsJobSummary$LanguageCode": "

The language of the transcript in the source audio file.

", - "CreateMedicalVocabularyRequest$LanguageCode": "

The language code for the language used for the entries in your custom vocabulary. The language code of your custom vocabulary must match the language code of your transcription job. US English (en-US) is the only language code available for Amazon Transcribe Medical.

", - "CreateMedicalVocabularyResponse$LanguageCode": "

The language code for the entries in your custom vocabulary. US English (en-US) is the only valid language code for Amazon Transcribe Medical.

", + "CreateMedicalVocabularyRequest$LanguageCode": "

The language code that represents the language of the entries in your custom vocabulary. Note that U.S. English (en-US) is the only language supported with Amazon Transcribe Medical.

", + "CreateMedicalVocabularyResponse$LanguageCode": "

The language code you selected for your medical vocabulary. Note that U.S. English (en-US) is the only language supported with Amazon Transcribe Medical.

", "CreateVocabularyFilterRequest$LanguageCode": "

The language code of the words in the vocabulary filter. All words in the filter must be in the same language. The vocabulary filter can only be used with transcription jobs in the specified language.

", - "CreateVocabularyFilterResponse$LanguageCode": "

The language code of the words in the collection.

", - "CreateVocabularyRequest$LanguageCode": "

The language code of the vocabulary entries. For a list of languages and their corresponding language codes, see table-language-matrix.

", - "CreateVocabularyResponse$LanguageCode": "

The language code of the vocabulary entries.

", + "CreateVocabularyFilterResponse$LanguageCode": "

The language code associated with your vocabulary filter.

", + "CreateVocabularyRequest$LanguageCode": "

The language code that represents the language of the entries in your custom vocabulary. Each vocabulary must contain terms in only one language. For a list of languages and their corresponding language codes, see Supported languages.

", + "CreateVocabularyResponse$LanguageCode": "

The language code you selected for your vocabulary.

", "GetMedicalVocabularyResponse$LanguageCode": "

The valid language code for your vocabulary entries.

", "GetVocabularyFilterResponse$LanguageCode": "

The language code of the words in the vocabulary filter.

", "GetVocabularyResponse$LanguageCode": "

The language code of the vocabulary entries.

", @@ -697,8 +697,6 @@ "base": null, "refs": { "CallAnalyticsJob$MediaSampleRateHertz": "

The sample rate, in Hertz, of the audio.

", - "MedicalTranscriptionJob$MediaSampleRateHertz": "

The sample rate, in Hertz, of the source audio containing medical information.

If you don't specify the sample rate, Amazon Transcribe Medical determines it for you. If you choose to specify the sample rate, it must match the rate detected by Amazon Transcribe Medical.

", - "StartMedicalTranscriptionJobRequest$MediaSampleRateHertz": "

The sample rate, in Hertz, of the audio track in the input media file.

If you do not specify the media sample rate, Amazon Transcribe Medical determines the sample rate. If you specify the sample rate, it must match the rate detected by Amazon Transcribe Medical. In most cases, you should leave the MediaSampleRateHertz field blank and let Amazon Transcribe Medical determine the sample rate.

", "StartTranscriptionJobRequest$MediaSampleRateHertz": "

The sample rate, in Hertz, of the audio track in the input media file.

If you do not specify the media sample rate, Amazon Transcribe determines the sample rate. If you specify the sample rate, it must match the sample rate detected by Amazon Transcribe. In most cases, you should leave the MediaSampleRateHertz field blank and let Amazon Transcribe determine the sample rate.

", "TranscriptionJob$MediaSampleRateHertz": "

The sample rate, in Hertz (Hz), of the audio track in the input media file.

" } @@ -711,6 +709,13 @@ "StartMedicalTranscriptionJobRequest$ContentIdentificationType": "

You can configure Amazon Transcribe Medical to label content in the transcription output. If you specify PHI, Amazon Transcribe Medical labels the personal health information (PHI) that it identifies in the transcription output.

" } }, + "MedicalMediaSampleRateHertz": { + "base": null, + "refs": { + "MedicalTranscriptionJob$MediaSampleRateHertz": "

The sample rate, in Hertz, of the source audio containing medical information.

If you don't specify the sample rate, Amazon Transcribe Medical determines it for you. If you choose to specify the sample rate, it must match the rate detected by Amazon Transcribe Medical.

", + "StartMedicalTranscriptionJobRequest$MediaSampleRateHertz": "

The sample rate, in Hertz, of the audio track in the input media file.

If you do not specify the media sample rate, Amazon Transcribe Medical determines the sample rate. If you specify the sample rate, it must match the rate detected by Amazon Transcribe Medical. In most cases, you should leave the MediaSampleRateHertz field blank and let Amazon Transcribe Medical determine the sample rate.

" + } + }, "MedicalTranscript": { "base": "

Identifies the location of a medical transcript.

", "refs": { @@ -720,7 +725,7 @@ "MedicalTranscriptionJob": { "base": "

The data structure that contains the information for a medical transcription job.

", "refs": { - "GetMedicalTranscriptionJobResponse$MedicalTranscriptionJob": "

An object that contains the results of the medical transcription job.

", + "GetMedicalTranscriptionJobResponse$MedicalTranscriptionJob": "

An object that contains detailed information about your medical transcription job. Returned fields include: CompletionTime, ContentIdentificationType, CreationTime, FailureReason, LanguageCode, Media, MediaFormat, MediaSampleRateHertz, MedicalTranscriptionJobName, Settings, Specialty, StartTime, Tags, Transcript, TranscriptionJobStatus, and Type.

", "StartMedicalTranscriptionJobResponse$MedicalTranscriptionJob": "

A batch job submitted to transcribe medical speech to text.

" } }, @@ -747,10 +752,10 @@ "base": null, "refs": { "CallAnalyticsJobSettings$LanguageModelName": "

The structure used to describe a custom language model.

", - "CreateLanguageModelRequest$ModelName": "

The name you choose for your custom language model when you create it.

", - "CreateLanguageModelResponse$ModelName": "

The name you've chosen for your custom language model.

", - "DeleteLanguageModelRequest$ModelName": "

The name of the model you're choosing to delete.

", - "DescribeLanguageModelRequest$ModelName": "

The name of the custom language model you submit to get more information.

", + "CreateLanguageModelRequest$ModelName": "

The name of your new custom language model.

This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a language model with the same name as a previous language model, you get a ConflictException error.

", + "CreateLanguageModelResponse$ModelName": "

The unique name you chose for your custom language model.

", + "DeleteLanguageModelRequest$ModelName": "

The name of the model you want to delete. Model names are case-sensitive.

", + "DescribeLanguageModelRequest$ModelName": "

The name of the custom language model you want described. Model names are case-sensitive.

", "LanguageIdSettings$LanguageModelName": "

The name of the language model you want to use when transcribing your audio. The model you specify must have the same language codes as the transcription job; if the languages don't match, the language model isn't be applied.

", "LanguageModel$ModelName": "

The name of the custom language model.

", "ListLanguageModelsRequest$NameContains": "

When specified, the custom language model names returned contain the substring you've specified.

", @@ -768,7 +773,7 @@ "ModelStatus": { "base": null, "refs": { - "CreateLanguageModelResponse$ModelStatus": "

The status of the custom language model. When the status is COMPLETED the model is ready to use.

", + "CreateLanguageModelResponse$ModelStatus": "

The status of your custom language model. When the status shows as COMPLETED, your model is ready to use.

", "LanguageModel$ModelStatus": "

The creation status of a custom language model. When the status is COMPLETED the model is ready for use.

", "ListLanguageModelsRequest$StatusEquals": "

When specified, returns only custom language models with the specified status. Language models are ordered by creation date, with the newest models first. If you don't specify a status, Amazon Transcribe returns all custom language models ordered by date.

" } @@ -791,7 +796,7 @@ "ListMedicalTranscriptionJobsRequest$NextToken": "

If you a receive a truncated result in the previous request of ListMedicalTranscriptionJobs, include NextToken to fetch the next set of jobs.

", "ListMedicalTranscriptionJobsResponse$NextToken": "

The ListMedicalTranscriptionJobs operation returns a page of jobs at a time. The maximum size of the page is set by the MaxResults parameter. If the number of jobs exceeds what can fit on a page, Amazon Transcribe Medical returns the NextPage token. Include the token in the next request to the ListMedicalTranscriptionJobs operation to return in the next page of jobs.

", "ListMedicalVocabulariesRequest$NextToken": "

If the result of your previous request to ListMedicalVocabularies was truncated, include the NextToken to fetch the next set of vocabularies.

", - "ListMedicalVocabulariesResponse$NextToken": "

The ListMedicalVocabularies operation returns a page of vocabularies at a time. You set the maximum number of vocabularies to return on a page with the MaxResults parameter. If there are more jobs in the list will fit on a page, Amazon Transcribe Medical returns the NextPage token. To return the next page of vocabularies, include the token in the next request to the ListMedicalVocabularies operation .

", + "ListMedicalVocabulariesResponse$NextToken": "

The ListMedicalVocabularies operation returns a page of vocabularies at a time. You set the maximum number of vocabularies to return on a page with the MaxResults parameter. If there are more jobs in the list will fit on a page, Amazon Transcribe Medical returns the NextPage token. To return the next page of vocabularies, include the token in the next request to the ListMedicalVocabularies operation.

", "ListTranscriptionJobsRequest$NextToken": "

If the result of the previous request to ListTranscriptionJobs is truncated, include the NextToken to fetch the next set of jobs.

", "ListTranscriptionJobsResponse$NextToken": "

The ListTranscriptionJobs operation returns a page of jobs at a time. The maximum size of the page is set by the MaxResults parameter. If there are more jobs in the list than the page size, Amazon Transcribe returns the NextPage token. Include the token in the next request to the ListTranscriptionJobs operation to return in the next page of jobs.

", "ListVocabulariesRequest$NextToken": "

If the result of the previous request to ListVocabularies was truncated, include the NextToken to fetch the next set of jobs.

", @@ -867,7 +872,7 @@ "Phrases": { "base": null, "refs": { - "CreateVocabularyRequest$Phrases": "

An array of strings that contains the vocabulary entries.

", + "CreateVocabularyRequest$Phrases": "

Use this flag to include a list of terms within your request.

Note that if you include Phrases in your request, you cannot use VocabularyFileUri; you must choose one or the other.

", "UpdateVocabularyRequest$Phrases": "

An array of strings containing the vocabulary entries.

" } }, @@ -914,7 +919,7 @@ "base": null, "refs": { "CategoryProperties$Rules": "

The rules used to create a call analytics category.

", - "CreateCallAnalyticsCategoryRequest$Rules": "

To create a category, you must specify between 1 and 20 rules. For each rule, you specify a filter to be applied to the attributes of the call. For example, you can specify a sentiment filter to detect if the customer's sentiment was negative or neutral.

", + "CreateCallAnalyticsCategoryRequest$Rules": "

Rules make up a call analytics category. When creating a call analytics category, you must create between 1 and 20 rules for your category. For each rule, you specify a filter you want applied to the attributes of a call. For example, you can choose a sentiment filter that detects if a customer's sentiment was positive during the last 30 seconds of the call.

", "UpdateCallAnalyticsCategoryRequest$Rules": "

The rules used for the updated analytics category. The rules that you provide in this field replace the ones that are currently being used.

" } }, @@ -999,7 +1004,7 @@ "SubtitleFileUris": { "base": null, "refs": { - "SubtitlesOutput$SubtitleFileUris": "

Choose the output location for your subtitle file. This location must be an S3 bucket.

" + "SubtitlesOutput$SubtitleFileUris": "

Contains the output location for your subtitle file. This location must be an S3 bucket.

" } }, "SubtitleFormat": { @@ -1022,7 +1027,7 @@ } }, "SubtitlesOutput": { - "base": "

Specify the output format for your subtitle file.

", + "base": "

Choose the output format for your subtitle file and the S3 location where you want your file saved.

", "refs": { "TranscriptionJob$Subtitles": "

Generate subtitles for your batch transcription job.

" } @@ -1049,13 +1054,13 @@ "TagList": { "base": null, "refs": { - "CreateLanguageModelRequest$Tags": "

Adds one or more tags, each in the form of a key:value pair, to a new language model at the time you create this new model.

", - "CreateMedicalVocabularyRequest$Tags": "

Adds one or more tags, each in the form of a key:value pair, to a new medical vocabulary at the time you create this new vocabulary.

", - "CreateVocabularyFilterRequest$Tags": "

Adds one or more tags, each in the form of a key:value pair, to a new Amazon Transcribe vocabulary filter at the time you create this new vocabulary filter.

", - "CreateVocabularyRequest$Tags": "

Adds one or more tags, each in the form of a key:value pair, to a new Amazon Transcribe vocabulary at the time you create this new vocabulary.

", + "CreateLanguageModelRequest$Tags": "

Optionally add tags, each in the form of a key:value pair, to your new language model. See also: .

", + "CreateMedicalVocabularyRequest$Tags": "

Adds one or more tags, each in the form of a key:value pair, to a new medical vocabulary at the time you create the new vocabulary.

To learn more about using tags with Amazon Transcribe, refer to Tagging resources.

", + "CreateVocabularyFilterRequest$Tags": "

Adds one or more tags, each in the form of a key:value pair, to a new vocabulary filter at the time you create this new vocabulary filter.

", + "CreateVocabularyRequest$Tags": "

Adds one or more tags, each in the form of a key:value pair, to a new custom vocabulary at the time you create this new vocabulary.

", "ListTagsForResourceResponse$Tags": "

Lists all tags associated with the given transcription job, vocabulary, or resource.

", "MedicalTranscriptionJob$Tags": "

A key:value pair assigned to a given medical transcription job.

", - "StartMedicalTranscriptionJobRequest$Tags": "

Add tags to an Amazon Transcribe medical transcription job.

", + "StartMedicalTranscriptionJobRequest$Tags": "

Add tags to an Amazon Transcribe Medical transcription job.

", "StartTranscriptionJobRequest$Tags": "

Add tags to an Amazon Transcribe transcription job.

", "TagResourceRequest$Tags": "

The tags you are assigning to a given Amazon Transcribe resource.

", "TranscriptionJob$Tags": "

A key:value pair assigned to a given transcription job.

" @@ -1126,9 +1131,9 @@ "TranscriptionJobName": { "base": null, "refs": { - "DeleteMedicalTranscriptionJobRequest$MedicalTranscriptionJobName": "

The name you provide to the DeleteMedicalTranscriptionJob object to delete a transcription job.

", - "DeleteTranscriptionJobRequest$TranscriptionJobName": "

The name of the transcription job to be deleted.

", - "GetMedicalTranscriptionJobRequest$MedicalTranscriptionJobName": "

The name of the medical transcription job.

", + "DeleteMedicalTranscriptionJobRequest$MedicalTranscriptionJobName": "

The name of the medical transcription job you want to delete. Job names are case-sensitive.

", + "DeleteTranscriptionJobRequest$TranscriptionJobName": "

The name of the transcription job you want to delete. Job names are case-sensitive.

", + "GetMedicalTranscriptionJobRequest$MedicalTranscriptionJobName": "

The name of the medical transcription job you want information about. This value is case sensitive.

", "GetTranscriptionJobRequest$TranscriptionJobName": "

The name of the job.

", "ListMedicalTranscriptionJobsRequest$JobNameContains": "

When specified, the jobs returned in the list are limited to jobs whose name contains the specified string.

", "ListTranscriptionJobsRequest$JobNameContains": "

When specified, the jobs returned in the list are limited to jobs whose name contains the specified string.

", @@ -1226,24 +1231,24 @@ "Uri": { "base": null, "refs": { - "CreateMedicalVocabularyRequest$VocabularyFileUri": "

The location in Amazon S3 of the text file you use to define your custom vocabulary. The URI must be in the same Amazon Web Services Region as the resource that you're calling. Enter information about your VocabularyFileUri in the following format:

https://s3.<aws-region>.amazonaws.com/<bucket-name>/<keyprefix>/<objectkey>

The following is an example URI for a vocabulary file that is stored in Amazon S3:

https://s3.us-east-1.amazonaws.com/AWSDOC-EXAMPLE-BUCKET/vocab.txt

For more information about Amazon S3 object names, see Object Keys in the Amazon S3 Developer Guide.

For more information about custom vocabularies, see Medical Custom Vocabularies.

", - "CreateVocabularyFilterRequest$VocabularyFilterFileUri": "

The Amazon S3 location of a text file used as input to create the vocabulary filter. Only use characters from the character set defined for custom vocabularies. For a list of character sets, see Character Sets for Custom Vocabularies.

The specified file must be less than 50 KB of UTF-8 characters.

If you provide the location of a list of words in the VocabularyFilterFileUri parameter, you can't use the Words parameter.

", - "CreateVocabularyRequest$VocabularyFileUri": "

The S3 location of the text file that contains the definition of the custom vocabulary. The URI must be in the same region as the API endpoint that you are calling. The general form is:

https://s3.<Amazon Web Services-region>.amazonaws.com/<AWSDOC-EXAMPLE-BUCKET>/<keyprefix>/<objectkey>

For example:

https://s3.us-east-1.amazonaws.com/AWSDOC-EXAMPLE-BUCKET/vocab.txt

For more information about S3 object names, see Object Keys in the Amazon S3 Developer Guide.

For more information about custom vocabularies, see Custom vocabularies.

", - "GetMedicalVocabularyResponse$DownloadUri": "

The location in Amazon S3 where the vocabulary is stored. Use this URI to get the contents of the vocabulary. You can download your vocabulary from the URI for a limited time.

", + "CreateMedicalVocabularyRequest$VocabularyFileUri": "

The Amazon S3 location (URI) of the text file that contains your custom vocabulary. The URI must be in the same Amazon Web Services Region as the resource that you're calling.

Here's an example URI path:

https://s3.us-east-1.amazonaws.com/my-s3-bucket/my-vocab-file.txt

", + "CreateVocabularyFilterRequest$VocabularyFilterFileUri": "

The Amazon S3 location of a text file used as input to create the vocabulary filter. Only use characters from the character set defined for custom vocabularies. For a list of character sets, see Character Sets for Custom Vocabularies.

Your vocabulary filter file must be less than 50 KB in size.

Note that if you include VocabularyFilterFileUri in your request, you cannot use Words; you must choose one or the other.

", + "CreateVocabularyRequest$VocabularyFileUri": "

The S3 location of the text file that contains your custom vocabulary. The URI must be located in the same region as the API endpoint you're calling.

Here's an example URI path:

https://s3.us-east-1.amazonaws.com/my-s3-bucket/my-vocab-file.txt

Note that if you include VocabularyFileUri in your request, you cannot use the Phrases flag; you must choose one or the other.

", + "GetMedicalVocabularyResponse$DownloadUri": "

The S3 location where the vocabulary is stored; use this URI to view or download the vocabulary.

", "GetVocabularyFilterResponse$DownloadUri": "

The URI of the list of words in the vocabulary filter. You can use this URI to get the list of words.

", "GetVocabularyResponse$DownloadUri": "

The S3 location where the vocabulary is stored. Use this URI to get the contents of the vocabulary. The URI is available for a limited time.

", "InputDataConfig$S3Uri": "

The Amazon S3 prefix you specify to access the plain text files that you use to train your custom language model.

", "InputDataConfig$TuningDataS3Uri": "

The Amazon S3 prefix you specify to access the plain text files that you use to tune your custom language model.

", - "Media$MediaFileUri": "

The S3 object location of the input media file. The URI must be in the same region as the API endpoint that you are calling. The general form is:

s3://<AWSDOC-EXAMPLE-BUCKET>/<keyprefix>/<objectkey>

For example:

s3://AWSDOC-EXAMPLE-BUCKET/example.mp4

s3://AWSDOC-EXAMPLE-BUCKET/mediadocs/example.mp4

For more information about S3 object names, see Object Keys in the Amazon S3 Developer Guide.

", + "Media$MediaFileUri": "

The S3 object location of the input media file. The URI must be in the same region as the API endpoint that you are calling. The general form is:

s3://DOC-EXAMPLE-BUCKET/keyprefix/objectkey

For example:

s3://DOC-EXAMPLE-BUCKET/example.flac

s3://DOC-EXAMPLE-BUCKET/mediafiles/example.flac

For more information about S3 object names, see Object Keys in the Amazon S3 Developer Guide.

", "Media$RedactedMediaFileUri": "

The S3 object location for your redacted output media file. This is only supported for call analytics jobs.

", "MedicalTranscript$TranscriptFileUri": "

The S3 object location of the medical transcript.

Use this URI to access the medical transcript. This URI points to the S3 bucket you created to store the medical transcript.

", "StartCallAnalyticsJobRequest$OutputLocation": "

The Amazon S3 location where the output of the call analytics job is stored. You can provide the following location types to store the output of call analytics job:

You can specify an Amazon Web Services Key Management Service (KMS) key to encrypt the output of our analytics job using the OutputEncryptionKMSKeyId parameter. If you don't specify a KMS key, Amazon Transcribe uses the default Amazon S3 key for server-side encryption of the analytics job output that is placed in your S3 bucket.

", "SubtitleFileUris$member": null, "Transcript$TranscriptFileUri": "

The S3 object location of the transcript.

Use this URI to access the transcript. If you specified an S3 bucket in the OutputBucketName field when you created the job, this is the URI of that bucket. If you chose to store the transcript in Amazon Transcribe, this is a shareable URL that provides secure access to that location.

", "Transcript$RedactedTranscriptFileUri": "

The S3 object location of the redacted transcript.

Use this URI to access the redacted transcript. If you specified an S3 bucket in the OutputBucketName field when you created the job, this is the URI of that bucket. If you chose to store the transcript in Amazon Transcribe, this is a shareable URL that provides secure access to that location.

", - "UpdateMedicalVocabularyRequest$VocabularyFileUri": "

The location in Amazon S3 of the text file that contains your custom vocabulary. The URI must be in the same Amazon Web Services Region as the resource that you are calling. The following is the format for a URI:

https://s3.<aws-region>.amazonaws.com/<bucket-name>/<keyprefix>/<objectkey>

For example:

https://s3.us-east-1.amazonaws.com/AWSDOC-EXAMPLE-BUCKET/vocab.txt

For more information about Amazon S3 object names, see Object Keys in the Amazon S3 Developer Guide.

For more information about custom vocabularies in Amazon Transcribe Medical, see Medical Custom Vocabularies.

", + "UpdateMedicalVocabularyRequest$VocabularyFileUri": "

The location in Amazon S3 of the text file that contains your custom vocabulary. The URI must be in the same Amazon Web Services Region as the resource that you are calling. The following is the format for a URI:

https://s3.aws-region.amazonaws.com/bucket-name/keyprefix/objectkey

For example:

https://s3.us-east-1.amazonaws.com/DOC-EXAMPLE-BUCKET/vocab.txt

For more information about Amazon S3 object names, see Object Keys in the Amazon S3 Developer Guide.

For more information about custom vocabularies in Amazon Transcribe Medical, see Medical Custom Vocabularies.

", "UpdateVocabularyFilterRequest$VocabularyFilterFileUri": "

The Amazon S3 location of a text file used as input to create the vocabulary filter. Only use characters from the character set defined for custom vocabularies. For a list of character sets, see Character Sets for Custom Vocabularies.

The specified file must be less than 50 KB of UTF-8 characters.

If you provide the location of a list of words in the VocabularyFilterFileUri parameter, you can't use the Words parameter.

", - "UpdateVocabularyRequest$VocabularyFileUri": "

The S3 location of the text file that contains the definition of the custom vocabulary. The URI must be in the same region as the API endpoint that you are calling. The general form is:

https://s3.<aws-region>.amazonaws.com/<AWSDOC-EXAMPLE-BUCKET>/<keyprefix>/<objectkey>

For example:

https://s3.us-east-1.amazonaws.com/AWSDOC-EXAMPLE-BUCKET/vocab.txt

For more information about S3 object names, see Object Keys in the Amazon S3 Developer Guide.

For more information about custom vocabularies, see Custom Vocabularies.

" + "UpdateVocabularyRequest$VocabularyFileUri": "

The S3 location of the text file that contains the definition of the custom vocabulary. The URI must be in the same region as the API endpoint that you are calling. The general form is:

https://s3.aws-region.amazonaws.com/bucket-name/keyprefix/objectkey

For example:

https://s3.us-east-1.amazonaws.com/DOC-EXAMPLE-BUCKET/vocab.txt

For more information about S3 object names, see Object Keys in the Amazon S3 Developer Guide.

For more information about custom vocabularies, see Custom Vocabularies.

" } }, "Vocabularies": { @@ -1270,9 +1275,9 @@ "base": null, "refs": { "CallAnalyticsJobSettings$VocabularyFilterName": "

The name of the vocabulary filter to use when running a call analytics job. The filter that you specify must have the same language code as the analytics job.

", - "CreateVocabularyFilterRequest$VocabularyFilterName": "

The vocabulary filter name. The name must be unique within the account that contains it. If you try to create a vocabulary filter with the same name as another vocabulary filter, you get a ConflictException error.

", + "CreateVocabularyFilterRequest$VocabularyFilterName": "

The name of your new vocabulary filter.

This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a vocabulary filter with the same name as a previous vocabulary filter, you get a ConflictException error.

", "CreateVocabularyFilterResponse$VocabularyFilterName": "

The name of the vocabulary filter.

", - "DeleteVocabularyFilterRequest$VocabularyFilterName": "

The name of the vocabulary filter to remove.

", + "DeleteVocabularyFilterRequest$VocabularyFilterName": "

The name of the vocabulary filter you want to delete. Vocabulary filter names are case-sensitive.

", "GetVocabularyFilterRequest$VocabularyFilterName": "

The name of the vocabulary filter for which to return information.

", "GetVocabularyFilterResponse$VocabularyFilterName": "

The name of the vocabulary filter.

", "LanguageIdSettings$VocabularyFilterName": "

The name of the vocabulary filter you want to use when transcribing your audio. The filter you specify must have the same language codes as the transcription job; if the languages don't match, the vocabulary filter isn't be applied.

", @@ -1299,13 +1304,13 @@ "base": null, "refs": { "CallAnalyticsJobSettings$VocabularyName": "

The name of a vocabulary to use when processing the call analytics job.

", - "CreateMedicalVocabularyRequest$VocabularyName": "

The name of the custom vocabulary. This case-sensitive name must be unique within an Amazon Web Services account. If you try to create a vocabulary with the same name as a previous vocabulary, you get a ConflictException error.

", - "CreateMedicalVocabularyResponse$VocabularyName": "

The name of the vocabulary. The name must be unique within an Amazon Web Services account and is case sensitive.

", - "CreateVocabularyRequest$VocabularyName": "

The name of the vocabulary. The name must be unique within an Amazon Web Services account. The name is case sensitive. If you try to create a vocabulary with the same name as a previous vocabulary you will receive a ConflictException error.

", - "CreateVocabularyResponse$VocabularyName": "

The name of the vocabulary.

", - "DeleteMedicalVocabularyRequest$VocabularyName": "

The name of the vocabulary that you want to delete.

", - "DeleteVocabularyRequest$VocabularyName": "

The name of the vocabulary to delete.

", - "GetMedicalVocabularyRequest$VocabularyName": "

The name of the vocabulary that you want information about. The value is case sensitive.

", + "CreateMedicalVocabularyRequest$VocabularyName": "

The name of your new vocabulary.

This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a vocabulary with the same name as a previous vocabulary, you get a ConflictException error.

", + "CreateMedicalVocabularyResponse$VocabularyName": "

The name you chose for your vocabulary.

", + "CreateVocabularyRequest$VocabularyName": "

The name of your new vocabulary.

This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a vocabulary with the same name as a previous vocabulary, you get a ConflictException error.

", + "CreateVocabularyResponse$VocabularyName": "

The name you chose for your vocabulary.

", + "DeleteMedicalVocabularyRequest$VocabularyName": "

The name of the vocabulary that you want to delete. Vocabulary names are case-sensitive.

", + "DeleteVocabularyRequest$VocabularyName": "

The name of the vocabulary you want to delete. Vocabulary names are case-sensitive.

", + "GetMedicalVocabularyRequest$VocabularyName": "

The name of the medical vocabulary you want information about. This value is case sensitive.

", "GetMedicalVocabularyResponse$VocabularyName": "

The name of the vocabulary returned by Amazon Transcribe Medical.

", "GetVocabularyRequest$VocabularyName": "

The name of the vocabulary to return information about. The name is case sensitive.

", "GetVocabularyResponse$VocabularyName": "

The name of the vocabulary to return.

", @@ -1324,8 +1329,8 @@ "VocabularyState": { "base": null, "refs": { - "CreateMedicalVocabularyResponse$VocabularyState": "

The processing state of your custom vocabulary in Amazon Transcribe Medical. If the state is READY, you can use the vocabulary in a StartMedicalTranscriptionJob request.

", - "CreateVocabularyResponse$VocabularyState": "

The processing state of the vocabulary. When the VocabularyState field contains READY the vocabulary is ready to be used in a StartTranscriptionJob request.

", + "CreateMedicalVocabularyResponse$VocabularyState": "

The processing state of your custom medical vocabulary. If the state is READY, you can use the vocabulary in a StartMedicalTranscriptionJob request.

", + "CreateVocabularyResponse$VocabularyState": "

The processing state of your vocabulary. If the state is READY, you can use the vocabulary in a StartTranscriptionJob request.

", "GetMedicalVocabularyResponse$VocabularyState": "

The processing state of the vocabulary. If the VocabularyState is READY then you can use it in the StartMedicalTranscriptionJob operation.

", "GetVocabularyResponse$VocabularyState": "

The processing state of the vocabulary.

", "ListMedicalVocabulariesRequest$StateEquals": "

When specified, returns only vocabularies with the VocabularyState equal to the specified vocabulary state. Use this field to see which vocabularies are ready for your medical transcription jobs.

", @@ -1346,7 +1351,7 @@ "Words": { "base": null, "refs": { - "CreateVocabularyFilterRequest$Words": "

The words to use in the vocabulary filter. Only use characters from the character set defined for custom vocabularies. For a list of character sets, see Character Sets for Custom Vocabularies.

If you provide a list of words in the Words parameter, you can't use the VocabularyFilterFileUri parameter.

", + "CreateVocabularyFilterRequest$Words": "

The words you want in your vocabulary filter. Only use characters specified in the Character sets for the language you're transcribing.

Note that if you include Words in your request, you cannot use VocabularyFilterFileUri; you must choose one or the other.

", "UpdateVocabularyFilterRequest$Words": "

The words to use in the vocabulary filter. Only use characters from the character set defined for custom vocabularies. For a list of character sets, see Character Sets for Custom Vocabularies.

If you provide a list of words in the Words parameter, you can't use the VocabularyFilterFileUri parameter.

" } } diff --git a/models/apis/transfer/2018-11-05/api-2.json b/models/apis/transfer/2018-11-05/api-2.json index f48ca227604..4d04791e149 100644 --- a/models/apis/transfer/2018-11-05/api-2.json +++ b/models/apis/transfer/2018-11-05/api-2.json @@ -1006,7 +1006,16 @@ "ExecutionErrorMessage":{"type":"string"}, "ExecutionErrorType":{ "type":"string", - "enum":["PERMISSION_DENIED"] + "enum":[ + "PERMISSION_DENIED", + "CUSTOM_STEP_FAILED", + "THROTTLED", + "ALREADY_EXISTS", + "NOT_FOUND", + "BAD_REQUEST", + "TIMEOUT", + "INTERNAL_SERVER_ERROR" + ] }, "ExecutionId":{ "type":"string", diff --git a/models/apis/transfer/2018-11-05/docs-2.json b/models/apis/transfer/2018-11-05/docs-2.json index a763f50325f..c06c654afee 100644 --- a/models/apis/transfer/2018-11-05/docs-2.json +++ b/models/apis/transfer/2018-11-05/docs-2.json @@ -355,7 +355,7 @@ "ExecutionErrorType": { "base": null, "refs": { - "ExecutionError$Type": "

Specifies the error type: currently, the only valid value is PERMISSION_DENIED, which occurs if your policy does not contain the correct permissions to complete one or more of the steps in the workflow.

" + "ExecutionError$Type": "

Specifies the error type.

" } }, "ExecutionId": { @@ -783,17 +783,17 @@ "PostAuthenticationLoginBanner": { "base": null, "refs": { - "CreateServerRequest$PostAuthenticationLoginBanner": null, - "DescribedServer$PostAuthenticationLoginBanner": null, - "UpdateServerRequest$PostAuthenticationLoginBanner": null + "CreateServerRequest$PostAuthenticationLoginBanner": "

Specify a string to display when users connect to a server. This string is displayed after the user authenticates.

The SFTP protocol does not support post-authentication display banners.

", + "DescribedServer$PostAuthenticationLoginBanner": "

Specify a string to display when users connect to a server. This string is displayed after the user authenticates.

The SFTP protocol does not support post-authentication display banners.

", + "UpdateServerRequest$PostAuthenticationLoginBanner": "

Specify a string to display when users connect to a server. This string is displayed after the user authenticates.

The SFTP protocol does not support post-authentication display banners.

" } }, "PreAuthenticationLoginBanner": { "base": null, "refs": { - "CreateServerRequest$PreAuthenticationLoginBanner": null, - "DescribedServer$PreAuthenticationLoginBanner": null, - "UpdateServerRequest$PreAuthenticationLoginBanner": null + "CreateServerRequest$PreAuthenticationLoginBanner": "

Specify a string to display when users connect to a server. This string is displayed before the user authenticates. For example, the following banner displays details about using the system.

This system is for the use of authorized users only. Individuals using this computer system without authority, or in excess of their authority, are subject to having all of their activities on this system monitored and recorded by system personnel.

", + "DescribedServer$PreAuthenticationLoginBanner": "

Specify a string to display when users connect to a server. This string is displayed before the user authenticates. For example, the following banner displays details about using the system.

This system is for the use of authorized users only. Individuals using this computer system without authority, or in excess of their authority, are subject to having all of their activities on this system monitored and recorded by system personnel.

", + "UpdateServerRequest$PreAuthenticationLoginBanner": "

Specify a string to display when users connect to a server. This string is displayed before the user authenticates. For example, the following banner displays details about using the system.

This system is for the use of authorized users only. Individuals using this computer system without authority, or in excess of their authority, are subject to having all of their activities on this system monitored and recorded by system personnel.

" } }, "Protocol": { diff --git a/models/endpoints/endpoints.json b/models/endpoints/endpoints.json index db69de0b1cf..07103e01c79 100644 --- a/models/endpoints/endpoints.json +++ b/models/endpoints/endpoints.json @@ -14496,17 +14496,31 @@ }, "cloudtrail" : { "endpoints" : { - "us-gov-east-1" : { + "fips-us-gov-east-1" : { "credentialScope" : { "region" : "us-gov-east-1" }, + "deprecated" : true, "hostname" : "cloudtrail.us-gov-east-1.amazonaws.com" }, - "us-gov-west-1" : { + "fips-us-gov-west-1" : { "credentialScope" : { "region" : "us-gov-west-1" }, + "deprecated" : true, "hostname" : "cloudtrail.us-gov-west-1.amazonaws.com" + }, + "us-gov-east-1" : { + "variants" : [ { + "hostname" : "cloudtrail.us-gov-east-1.amazonaws.com", + "tags" : [ "fips" ] + } ] + }, + "us-gov-west-1" : { + "variants" : [ { + "hostname" : "cloudtrail.us-gov-west-1.amazonaws.com", + "tags" : [ "fips" ] + } ] } } }, diff --git a/service/lexmodelsv2/api.go b/service/lexmodelsv2/api.go index 3c7fef1532e..e9b60090513 100644 --- a/service/lexmodelsv2/api.go +++ b/service/lexmodelsv2/api.go @@ -11768,9 +11768,7 @@ type CreateSlotInput struct { // The unique identifier for the slot type associated with this slot. The slot // type determines the values that can be entered into the slot. - // - // SlotTypeId is a required field - SlotTypeId *string `locationName:"slotTypeId" min:"1" type:"string" required:"true"` + SlotTypeId *string `locationName:"slotTypeId" min:"1" type:"string"` // Specifies prompts that Amazon Lex sends to the user to elicit a response // that provides the value for the slot. @@ -11830,9 +11828,6 @@ func (s *CreateSlotInput) Validate() error { if s.SlotName != nil && len(*s.SlotName) < 1 { invalidParams.Add(request.NewErrParamMinLen("SlotName", 1)) } - if s.SlotTypeId == nil { - invalidParams.Add(request.NewErrParamRequired("SlotTypeId")) - } if s.SlotTypeId != nil && len(*s.SlotTypeId) < 1 { invalidParams.Add(request.NewErrParamMinLen("SlotTypeId", 1)) } @@ -27098,9 +27093,7 @@ type UpdateSlotInput struct { SlotName *string `locationName:"slotName" min:"1" type:"string" required:"true"` // The unique identifier of the new slot type to associate with this slot. - // - // SlotTypeId is a required field - SlotTypeId *string `locationName:"slotTypeId" min:"1" type:"string" required:"true"` + SlotTypeId *string `locationName:"slotTypeId" min:"1" type:"string"` // A new set of prompts that Amazon Lex sends to the user to elicit a response // the provides a value for the slot. @@ -27166,9 +27159,6 @@ func (s *UpdateSlotInput) Validate() error { if s.SlotName != nil && len(*s.SlotName) < 1 { invalidParams.Add(request.NewErrParamMinLen("SlotName", 1)) } - if s.SlotTypeId == nil { - invalidParams.Add(request.NewErrParamRequired("SlotTypeId")) - } if s.SlotTypeId != nil && len(*s.SlotTypeId) < 1 { invalidParams.Add(request.NewErrParamMinLen("SlotTypeId", 1)) } diff --git a/service/transcribeservice/api.go b/service/transcribeservice/api.go index 673f5fa0f18..77059ba4904 100644 --- a/service/transcribeservice/api.go +++ b/service/transcribeservice/api.go @@ -57,12 +57,14 @@ func (c *TranscribeService) CreateCallAnalyticsCategoryRequest(input *CreateCall // CreateCallAnalyticsCategory API operation for Amazon Transcribe Service. // -// Creates an analytics category. Amazon Transcribe applies the conditions specified -// by your analytics categories to your call analytics jobs. For each analytics -// category, you specify one or more rules. For example, you can specify a rule -// that the customer sentiment was neutral or negative within that category. -// If you start a call analytics job, Amazon Transcribe applies the category -// to the analytics job that you've specified. +// Creates a call analytics category. Amazon Transcribe applies the conditions +// specified by your call analytics categories to your call analytics jobs. +// For each analytics category, you must create between 1 and 20 rules. For +// example, you can create a 'greeting' category with a rule that flags calls +// in which your agent does not use a specified phrase (for example: "Please +// note this call may be recorded.") in the first 15 seconds of the call. When +// you start a call analytics job, Amazon Transcribe applies all your existing +// call analytics categories to that job. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about @@ -155,9 +157,11 @@ func (c *TranscribeService) CreateLanguageModelRequest(input *CreateLanguageMode // CreateLanguageModel API operation for Amazon Transcribe Service. // -// Creates a new custom language model. Use Amazon S3 prefixes to provide the -// location of your input files. The time it takes to create your model depends -// on the size of your training data. +// Creates a new custom language model. When creating a new language model, +// you must specify if you want a Wideband (audio sample rates over 16,000 Hz) +// or Narrowband (audio sample rates under 16,000 Hz) base model. You then include +// the S3 URI location of your training and tuning files, the language for the +// model, a unique name, and any tags you want associated with your model. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about @@ -250,8 +254,16 @@ func (c *TranscribeService) CreateMedicalVocabularyRequest(input *CreateMedicalV // CreateMedicalVocabulary API operation for Amazon Transcribe Service. // -// Creates a new custom vocabulary that you can use to modify how Amazon Transcribe -// Medical transcribes your audio file. +// Creates a new custom medical vocabulary. +// +// When creating a new medical vocabulary, you must upload a text file that +// contains your new entries, phrases, and terms into an S3 bucket. Note that +// this differs from , where you can include a list of terms within your request +// using the Phrases flag, as CreateMedicalVocabulary does not support the Phrases +// flag. +// +// For more information on creating a custom vocabulary text file, see Creating +// a custom vocabulary (https://docs.aws.amazon.com/transcribe/latest/dg/custom-vocabulary-create.html). // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about @@ -344,8 +356,14 @@ func (c *TranscribeService) CreateVocabularyRequest(input *CreateVocabularyInput // CreateVocabulary API operation for Amazon Transcribe Service. // -// Creates a new custom vocabulary that you can use to change the way Amazon -// Transcribe handles transcription of an audio file. +// Creates a new custom vocabulary. +// +// When creating a new medical vocabulary, you can either upload a text file +// that contains your new entries, phrases, and terms into an S3 bucket or include +// a list of terms directly in your request using the Phrases flag. +// +// For more information on creating a custom vocabulary, see Creating a custom +// vocabulary (https://docs.aws.amazon.com/transcribe/latest/dg/custom-vocabulary-create.html). // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about @@ -438,8 +456,9 @@ func (c *TranscribeService) CreateVocabularyFilterRequest(input *CreateVocabular // CreateVocabularyFilter API operation for Amazon Transcribe Service. // -// Creates a new vocabulary filter that you can use to filter words, such as -// profane words, from the output of a transcription job. +// Creates a new vocabulary filter that you can use to filter words from your +// transcription output. For example, you can use this operation to remove profanity +// from your transcript. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about @@ -533,7 +552,8 @@ func (c *TranscribeService) DeleteCallAnalyticsCategoryRequest(input *DeleteCall // DeleteCallAnalyticsCategory API operation for Amazon Transcribe Service. // -// Deletes a call analytics category using its name. +// Deletes a call analytics category. To use this operation, specify the name +// of the category you want to delete using CategoryName. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about @@ -628,7 +648,8 @@ func (c *TranscribeService) DeleteCallAnalyticsJobRequest(input *DeleteCallAnaly // DeleteCallAnalyticsJob API operation for Amazon Transcribe Service. // -// Deletes a call analytics job using its name. +// Deletes a call analytics job. To use this operation, specify the name of +// the job you want to delete using CallAnalyticsJobName. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about @@ -719,7 +740,8 @@ func (c *TranscribeService) DeleteLanguageModelRequest(input *DeleteLanguageMode // DeleteLanguageModel API operation for Amazon Transcribe Service. // -// Deletes a custom language model using its name. +// Deletes a custom language model. To use this operation, specify the name +// of the language model you want to delete using ModelName. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about @@ -810,8 +832,9 @@ func (c *TranscribeService) DeleteMedicalTranscriptionJobRequest(input *DeleteMe // DeleteMedicalTranscriptionJob API operation for Amazon Transcribe Service. // -// Deletes a transcription job generated by Amazon Transcribe Medical and any -// related information. +// Deletes a medical transcription job, along with any related information. +// To use this operation, specify the name of the job you want to delete using +// MedicalTranscriptionJobName. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about @@ -902,7 +925,8 @@ func (c *TranscribeService) DeleteMedicalVocabularyRequest(input *DeleteMedicalV // DeleteMedicalVocabulary API operation for Amazon Transcribe Service. // -// Deletes a vocabulary from Amazon Transcribe Medical. +// Deletes a custom medical vocabulary. To use this operation, specify the name +// of the vocabulary you want to delete using VocabularyName. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about @@ -997,8 +1021,8 @@ func (c *TranscribeService) DeleteTranscriptionJobRequest(input *DeleteTranscrip // DeleteTranscriptionJob API operation for Amazon Transcribe Service. // -// Deletes a previously submitted transcription job along with any other generated -// results such as the transcription, models, and so on. +// Deletes a transcription job, along with any related information. To use this +// operation, specify the name of the job you want to delete using TranscriptionJobName. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about @@ -1089,7 +1113,8 @@ func (c *TranscribeService) DeleteVocabularyRequest(input *DeleteVocabularyInput // DeleteVocabulary API operation for Amazon Transcribe Service. // -// Deletes a vocabulary from Amazon Transcribe. +// Deletes a custom vocabulary. To use this operation, specify the name of the +// vocabulary you want to delete using VocabularyName. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about @@ -1184,7 +1209,8 @@ func (c *TranscribeService) DeleteVocabularyFilterRequest(input *DeleteVocabular // DeleteVocabularyFilter API operation for Amazon Transcribe Service. // -// Removes a vocabulary filter. +// Deletes a vocabulary filter. To use this operation, specify the name of the +// vocabulary filter you want to delete using VocabularyFilterName. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about @@ -1278,13 +1304,16 @@ func (c *TranscribeService) DescribeLanguageModelRequest(input *DescribeLanguage // DescribeLanguageModel API operation for Amazon Transcribe Service. // -// Gets information about a single custom language model. Use this information -// to see details about the language model in your Amazon Web Services account. -// You can also see whether the base language model used to create your custom -// language model has been updated. If Amazon Transcribe has updated the base -// model, you can create a new custom language model using the updated base -// model. If the language model wasn't created, you can use this operation to -// understand why Amazon Transcribe couldn't create it. +// Provides information about a specific custom language model in your Amazon +// Web Services account. +// +// This operation also shows if the base language model you used to create your +// custom language model has been updated. If Amazon Transcribe has updated +// the base model, you can create a new custom language model using the updated +// base model. +// +// If you tried to create a new custom language model and the request wasn't +// successful, you can use this operation to help identify the reason. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about @@ -1472,12 +1501,13 @@ func (c *TranscribeService) GetCallAnalyticsJobRequest(input *GetCallAnalyticsJo // GetCallAnalyticsJob API operation for Amazon Transcribe Service. // -// Returns information about a call analytics job. To see the status of the -// job, check the CallAnalyticsJobStatus field. If the status is COMPLETED, -// the job is finished and you can find the results at the location specified -// in the TranscriptFileUri field. If you enable personally identifiable information -// (PII) redaction, the redacted transcript appears in the RedactedTranscriptFileUri -// field. +// Retrieves information about a call analytics job. +// +// To view the job's status, refer to the CallAnalyticsJobStatus field. If the +// status is COMPLETED, the job is finished. You can then find your transcript +// at the URI specified in the TranscriptFileUri field. If you enabled personally +// identifiable information (PII) redaction, the redacted transcript appears +// in the RedactedTranscriptFileUri field. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about @@ -1571,10 +1601,11 @@ func (c *TranscribeService) GetMedicalTranscriptionJobRequest(input *GetMedicalT // GetMedicalTranscriptionJob API operation for Amazon Transcribe Service. // -// Returns information about a transcription job from Amazon Transcribe Medical. -// To see the status of the job, check the TranscriptionJobStatus field. If -// the status is COMPLETED, the job is finished. You find the results of the -// completed job in the TranscriptFileUri field. +// Retrieves information about a medical transcription job. +// +// To view the job's status, refer to the TranscriptionJobStatus field. If the +// status is COMPLETED, the job is finished. You can then find your transcript +// at the URI specified in the TranscriptFileUri field. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about @@ -4994,15 +5025,17 @@ func (s *ContentRedaction) SetRedactionType(v string) *ContentRedaction { type CreateCallAnalyticsCategoryInput struct { _ struct{} `type:"structure"` - // The name that you choose for your category when you create it. + // A unique name, chosen by you, for your call analytics category. For example, + // sentiment-positive-last30seconds. // // CategoryName is a required field CategoryName *string `min:"1" type:"string" required:"true"` - // To create a category, you must specify between 1 and 20 rules. For each rule, - // you specify a filter to be applied to the attributes of the call. For example, - // you can specify a sentiment filter to detect if the customer's sentiment - // was negative or neutral. + // Rules make up a call analytics category. When creating a call analytics category, + // you must create between 1 and 20 rules for your category. For each rule, + // you specify a filter you want applied to the attributes of a call. For example, + // you can choose a sentiment filter that detects if a customer's sentiment + // was positive during the last 30 seconds of the call. // // Rules is a required field Rules []*Rule `min:"1" type:"list" required:"true"` @@ -5073,7 +5106,12 @@ func (s *CreateCallAnalyticsCategoryInput) SetRules(v []*Rule) *CreateCallAnalyt type CreateCallAnalyticsCategoryOutput struct { _ struct{} `type:"structure"` - // The rules and associated metadata used to create a category. + // If your audio matches one of your categories, this field contains data on + // that category and its associated rules. This parameter shows which category + // is flagged (CategoryName) along with metadata for the rules that match your + // audio. Metadata includes the rule filter (such as InterruptionFilter, NonTalkTimeFilter, + // SentimentFilter, and TranscriptFilter) and where in your audio (StartTime + // and EndTime) the rule has a match. CategoryProperties *CategoryProperties `type:"structure"` } @@ -5104,37 +5142,40 @@ func (s *CreateCallAnalyticsCategoryOutput) SetCategoryProperties(v *CategoryPro type CreateLanguageModelInput struct { _ struct{} `type:"structure"` - // The Amazon Transcribe standard language model, or base model used to create - // your custom language model. + // The Amazon Transcribe standard language model, or base model, used to create + // your custom language model. Amazon Transcribe offers two options for base + // models: Wideband and Narrowband. // - // If you want to use your custom language model to transcribe audio with a - // sample rate of 16,000 Hz or greater, choose Wideband. - // - // If you want to use your custom language model to transcribe audio with a - // sample rate that is less than 16,000 Hz, choose Narrowband. + // If the audio you want to transcribe has a sample rate of 16,000 Hz or greater, + // choose WideBand. To transcribe audio with a sample rate less than 16,000 + // Hz, choose NarrowBand. // // BaseModelName is a required field BaseModelName *string `type:"string" required:"true" enum:"BaseModelName"` - // Contains the data access role and the Amazon S3 prefixes to read the required - // input files to create a custom language model. + // Contains your data access role ARN (Amazon Resource Name) and the Amazon + // S3 locations of your training (S3Uri) and tuning (TuningDataS3Uri) data. // // InputDataConfig is a required field InputDataConfig *InputDataConfig `type:"structure" required:"true"` - // The language of the input text you're using to train your custom language - // model. + // The language of your custom language model; note that the language code you + // select must match the language of your training and tuning data. // // LanguageCode is a required field LanguageCode *string `type:"string" required:"true" enum:"CLMLanguageCode"` - // The name you choose for your custom language model when you create it. + // The name of your new custom language model. + // + // This name is case sensitive, cannot contain spaces, and must be unique within + // an Amazon Web Services account. If you try to create a language model with + // the same name as a previous language model, you get a ConflictException error. // // ModelName is a required field ModelName *string `min:"1" type:"string" required:"true"` - // Adds one or more tags, each in the form of a key:value pair, to a new language - // model at the time you create this new model. + // Optionally add tags, each in the form of a key:value pair, to your new language + // model. See also: . Tags []*Tag `min:"1" type:"list"` } @@ -5232,22 +5273,27 @@ func (s *CreateLanguageModelInput) SetTags(v []*Tag) *CreateLanguageModelInput { type CreateLanguageModelOutput struct { _ struct{} `type:"structure"` - // The Amazon Transcribe standard language model, or base model you've used - // to create a custom language model. + // The Amazon Transcribe standard language model, or base model, you used when + // creating your custom language model. + // + // If your audio has a sample rate of 16,000 Hz or greater, this value should + // be WideBand. If your audio has a sample rate of less than 16,000 Hz, this + // value should be NarrowBand. BaseModelName *string `type:"string" enum:"BaseModelName"` - // The data access role and Amazon S3 prefixes you've chosen to create your - // custom language model. + // Lists your data access role ARN (Amazon Resource Name) and the Amazon S3 + // locations your provided for your training (S3Uri) and tuning (TuningDataS3Uri) + // data. InputDataConfig *InputDataConfig `type:"structure"` - // The language code of the text you've used to create a custom language model. + // The language code you selected for your custom language model. LanguageCode *string `type:"string" enum:"CLMLanguageCode"` - // The name you've chosen for your custom language model. + // The unique name you chose for your custom language model. ModelName *string `min:"1" type:"string"` - // The status of the custom language model. When the status is COMPLETED the - // model is ready to use. + // The status of your custom language model. When the status shows as COMPLETED, + // your model is ready to use. ModelStatus *string `type:"string" enum:"ModelStatus"` } @@ -5302,43 +5348,36 @@ func (s *CreateLanguageModelOutput) SetModelStatus(v string) *CreateLanguageMode type CreateMedicalVocabularyInput struct { _ struct{} `type:"structure"` - // The language code for the language used for the entries in your custom vocabulary. - // The language code of your custom vocabulary must match the language code - // of your transcription job. US English (en-US) is the only language code available - // for Amazon Transcribe Medical. + // The language code that represents the language of the entries in your custom + // vocabulary. Note that U.S. English (en-US) is the only language supported + // with Amazon Transcribe Medical. // // LanguageCode is a required field LanguageCode *string `type:"string" required:"true" enum:"LanguageCode"` // Adds one or more tags, each in the form of a key:value pair, to a new medical - // vocabulary at the time you create this new vocabulary. + // vocabulary at the time you create the new vocabulary. + // + // To learn more about using tags with Amazon Transcribe, refer to Tagging resources + // (https://docs.aws.amazon.com/transcribe/latest/dg/tagging.html). Tags []*Tag `min:"1" type:"list"` - // The location in Amazon S3 of the text file you use to define your custom - // vocabulary. The URI must be in the same Amazon Web Services Region as the - // resource that you're calling. Enter information about your VocabularyFileUri - // in the following format: - // - // https://s3..amazonaws.com/// - // - // The following is an example URI for a vocabulary file that is stored in Amazon - // S3: - // - // https://s3.us-east-1.amazonaws.com/AWSDOC-EXAMPLE-BUCKET/vocab.txt + // The Amazon S3 location (URI) of the text file that contains your custom vocabulary. + // The URI must be in the same Amazon Web Services Region as the resource that + // you're calling. // - // For more information about Amazon S3 object names, see Object Keys (https://docs.aws.amazon.com/AmazonS3/latest/dev/UsingMetadata.html#object-keys) - // in the Amazon S3 Developer Guide. + // Here's an example URI path: // - // For more information about custom vocabularies, see Medical Custom Vocabularies - // (https://docs.aws.amazon.com/transcribe/latest/dg/vocabulary-med.html). + // https://s3.us-east-1.amazonaws.com/my-s3-bucket/my-vocab-file.txt // // VocabularyFileUri is a required field VocabularyFileUri *string `min:"1" type:"string" required:"true"` - // The name of the custom vocabulary. This case-sensitive name must be unique - // within an Amazon Web Services account. If you try to create a vocabulary - // with the same name as a previous vocabulary, you get a ConflictException - // error. + // The name of your new vocabulary. + // + // This name is case sensitive, cannot contain spaces, and must be unique within + // an Amazon Web Services account. If you try to create a vocabulary with the + // same name as a previous vocabulary, you get a ConflictException error. // // VocabularyName is a required field VocabularyName *string `min:"1" type:"string" required:"true"` @@ -5427,24 +5466,22 @@ func (s *CreateMedicalVocabularyInput) SetVocabularyName(v string) *CreateMedica type CreateMedicalVocabularyOutput struct { _ struct{} `type:"structure"` - // If the VocabularyState field is FAILED, this field contains information about - // why the job failed. + // If the VocabularyState field is FAILED, FailureReason contains information + // about why the job failed. FailureReason *string `type:"string"` - // The language code for the entries in your custom vocabulary. US English (en-US) - // is the only valid language code for Amazon Transcribe Medical. + // The language code you selected for your medical vocabulary. Note that U.S. + // English (en-US) is the only language supported with Amazon Transcribe Medical. LanguageCode *string `type:"string" enum:"LanguageCode"` - // The date and time that you created the vocabulary. + // The date and time you created your custom medical vocabulary. LastModifiedTime *time.Time `type:"timestamp"` - // The name of the vocabulary. The name must be unique within an Amazon Web - // Services account and is case sensitive. + // The name you chose for your vocabulary. VocabularyName *string `min:"1" type:"string"` - // The processing state of your custom vocabulary in Amazon Transcribe Medical. - // If the state is READY, you can use the vocabulary in a StartMedicalTranscriptionJob - // request. + // The processing state of your custom medical vocabulary. If the state is READY, + // you can use the vocabulary in a StartMedicalTranscriptionJob request. VocabularyState *string `type:"string" enum:"VocabularyState"` } @@ -5506,8 +5543,8 @@ type CreateVocabularyFilterInput struct { // LanguageCode is a required field LanguageCode *string `type:"string" required:"true" enum:"LanguageCode"` - // Adds one or more tags, each in the form of a key:value pair, to a new Amazon - // Transcribe vocabulary filter at the time you create this new vocabulary filter. + // Adds one or more tags, each in the form of a key:value pair, to a new vocabulary + // filter at the time you create this new vocabulary filter. Tags []*Tag `min:"1" type:"list"` // The Amazon S3 location of a text file used as input to create the vocabulary @@ -5515,25 +5552,28 @@ type CreateVocabularyFilterInput struct { // For a list of character sets, see Character Sets for Custom Vocabularies // (https://docs.aws.amazon.com/transcribe/latest/dg/charsets.html). // - // The specified file must be less than 50 KB of UTF-8 characters. + // Your vocabulary filter file must be less than 50 KB in size. // - // If you provide the location of a list of words in the VocabularyFilterFileUri - // parameter, you can't use the Words parameter. + // Note that if you include VocabularyFilterFileUri in your request, you cannot + // use Words; you must choose one or the other. VocabularyFilterFileUri *string `min:"1" type:"string"` - // The vocabulary filter name. The name must be unique within the account that - // contains it. If you try to create a vocabulary filter with the same name - // as another vocabulary filter, you get a ConflictException error. + // The name of your new vocabulary filter. + // + // This name is case sensitive, cannot contain spaces, and must be unique within + // an Amazon Web Services account. If you try to create a vocabulary filter + // with the same name as a previous vocabulary filter, you get a ConflictException + // error. // // VocabularyFilterName is a required field VocabularyFilterName *string `min:"1" type:"string" required:"true"` - // The words to use in the vocabulary filter. Only use characters from the character - // set defined for custom vocabularies. For a list of character sets, see Character - // Sets for Custom Vocabularies (https://docs.aws.amazon.com/transcribe/latest/dg/charsets.html). + // The words you want in your vocabulary filter. Only use characters specified + // in the Character sets (https://docs.aws.amazon.com/transcribe/latest/dg/charsets.html) + // for the language you're transcribing. // - // If you provide a list of words in the Words parameter, you can't use the - // VocabularyFilterFileUri parameter. + // Note that if you include Words in your request, you cannot use VocabularyFilterFileUri; + // you must choose one or the other. Words []*string `min:"1" type:"list"` } @@ -5626,10 +5666,10 @@ func (s *CreateVocabularyFilterInput) SetWords(v []*string) *CreateVocabularyFil type CreateVocabularyFilterOutput struct { _ struct{} `type:"structure"` - // The language code of the words in the collection. + // The language code associated with your vocabulary filter. LanguageCode *string `type:"string" enum:"LanguageCode"` - // The date and time that the vocabulary filter was modified. + // The date and time the vocabulary filter was modified. LastModifiedTime *time.Time `type:"timestamp"` // The name of the vocabulary filter. @@ -5675,39 +5715,40 @@ func (s *CreateVocabularyFilterOutput) SetVocabularyFilterName(v string) *Create type CreateVocabularyInput struct { _ struct{} `type:"structure"` - // The language code of the vocabulary entries. For a list of languages and - // their corresponding language codes, see table-language-matrix. + // The language code that represents the language of the entries in your custom + // vocabulary. Each vocabulary must contain terms in only one language. For + // a list of languages and their corresponding language codes, see Supported + // languages (https://docs.aws.amazon.com/transcribe/latest/dg/supported-languages.html). // // LanguageCode is a required field LanguageCode *string `type:"string" required:"true" enum:"LanguageCode"` - // An array of strings that contains the vocabulary entries. + // Use this flag to include a list of terms within your request. + // + // Note that if you include Phrases in your request, you cannot use VocabularyFileUri; + // you must choose one or the other. Phrases []*string `type:"list"` - // Adds one or more tags, each in the form of a key:value pair, to a new Amazon - // Transcribe vocabulary at the time you create this new vocabulary. + // Adds one or more tags, each in the form of a key:value pair, to a new custom + // vocabulary at the time you create this new vocabulary. Tags []*Tag `min:"1" type:"list"` - // The S3 location of the text file that contains the definition of the custom - // vocabulary. The URI must be in the same region as the API endpoint that you - // are calling. The general form is: - // - // https://s3..amazonaws.com/// - // - // For example: + // The S3 location of the text file that contains your custom vocabulary. The + // URI must be located in the same region as the API endpoint you're calling. // - // https://s3.us-east-1.amazonaws.com/AWSDOC-EXAMPLE-BUCKET/vocab.txt + // Here's an example URI path: // - // For more information about S3 object names, see Object Keys (https://docs.aws.amazon.com/AmazonS3/latest/dev/UsingMetadata.html#object-keys) - // in the Amazon S3 Developer Guide. + // https://s3.us-east-1.amazonaws.com/my-s3-bucket/my-vocab-file.txt // - // For more information about custom vocabularies, see Custom vocabularies (https://docs.aws.amazon.com/transcribe/latest/dg/custom-vocabulary.html). + // Note that if you include VocabularyFileUri in your request, you cannot use + // the Phrases flag; you must choose one or the other. VocabularyFileUri *string `min:"1" type:"string"` - // The name of the vocabulary. The name must be unique within an Amazon Web - // Services account. The name is case sensitive. If you try to create a vocabulary - // with the same name as a previous vocabulary you will receive a ConflictException - // error. + // The name of your new vocabulary. + // + // This name is case sensitive, cannot contain spaces, and must be unique within + // an Amazon Web Services account. If you try to create a vocabulary with the + // same name as a previous vocabulary, you get a ConflictException error. // // VocabularyName is a required field VocabularyName *string `min:"1" type:"string" required:"true"` @@ -5799,21 +5840,21 @@ func (s *CreateVocabularyInput) SetVocabularyName(v string) *CreateVocabularyInp type CreateVocabularyOutput struct { _ struct{} `type:"structure"` - // If the VocabularyState field is FAILED, this field contains information about - // why the job failed. + // If the VocabularyState field is FAILED, FailureReason contains information + // about why the job failed. FailureReason *string `type:"string"` - // The language code of the vocabulary entries. + // The language code you selected for your vocabulary. LanguageCode *string `type:"string" enum:"LanguageCode"` - // The date and time that the vocabulary was created. + // The date and time you created your custom vocabulary. LastModifiedTime *time.Time `type:"timestamp"` - // The name of the vocabulary. + // The name you chose for your vocabulary. VocabularyName *string `min:"1" type:"string"` - // The processing state of the vocabulary. When the VocabularyState field contains - // READY the vocabulary is ready to be used in a StartTranscriptionJob request. + // The processing state of your vocabulary. If the state is READY, you can use + // the vocabulary in a StartTranscriptionJob request. VocabularyState *string `type:"string" enum:"VocabularyState"` } @@ -5868,8 +5909,8 @@ func (s *CreateVocabularyOutput) SetVocabularyState(v string) *CreateVocabularyO type DeleteCallAnalyticsCategoryInput struct { _ struct{} `type:"structure"` - // The name of the call analytics category that you're choosing to delete. The - // value is case sensitive. + // The name of the call analytics category you want to delete. Category names + // are case-sensitive. // // CategoryName is a required field CategoryName *string `min:"1" type:"string" required:"true"` @@ -5940,7 +5981,7 @@ func (s DeleteCallAnalyticsCategoryOutput) GoString() string { type DeleteCallAnalyticsJobInput struct { _ struct{} `type:"structure"` - // The name of the call analytics job you want to delete. + // The name of the call analytics job you want to delete. Job names are case-sensitive. // // CallAnalyticsJobName is a required field CallAnalyticsJobName *string `min:"1" type:"string" required:"true"` @@ -6011,7 +6052,7 @@ func (s DeleteCallAnalyticsJobOutput) GoString() string { type DeleteLanguageModelInput struct { _ struct{} `type:"structure"` - // The name of the model you're choosing to delete. + // The name of the model you want to delete. Model names are case-sensitive. // // ModelName is a required field ModelName *string `min:"1" type:"string" required:"true"` @@ -6082,8 +6123,8 @@ func (s DeleteLanguageModelOutput) GoString() string { type DeleteMedicalTranscriptionJobInput struct { _ struct{} `type:"structure"` - // The name you provide to the DeleteMedicalTranscriptionJob object to delete - // a transcription job. + // The name of the medical transcription job you want to delete. Job names are + // case-sensitive. // // MedicalTranscriptionJobName is a required field MedicalTranscriptionJobName *string `min:"1" type:"string" required:"true"` @@ -6154,7 +6195,8 @@ func (s DeleteMedicalTranscriptionJobOutput) GoString() string { type DeleteMedicalVocabularyInput struct { _ struct{} `type:"structure"` - // The name of the vocabulary that you want to delete. + // The name of the vocabulary that you want to delete. Vocabulary names are + // case-sensitive. // // VocabularyName is a required field VocabularyName *string `min:"1" type:"string" required:"true"` @@ -6225,7 +6267,7 @@ func (s DeleteMedicalVocabularyOutput) GoString() string { type DeleteTranscriptionJobInput struct { _ struct{} `type:"structure"` - // The name of the transcription job to be deleted. + // The name of the transcription job you want to delete. Job names are case-sensitive. // // TranscriptionJobName is a required field TranscriptionJobName *string `min:"1" type:"string" required:"true"` @@ -6296,7 +6338,8 @@ func (s DeleteTranscriptionJobOutput) GoString() string { type DeleteVocabularyFilterInput struct { _ struct{} `type:"structure"` - // The name of the vocabulary filter to remove. + // The name of the vocabulary filter you want to delete. Vocabulary filter names + // are case-sensitive. // // VocabularyFilterName is a required field VocabularyFilterName *string `min:"1" type:"string" required:"true"` @@ -6367,7 +6410,7 @@ func (s DeleteVocabularyFilterOutput) GoString() string { type DeleteVocabularyInput struct { _ struct{} `type:"structure"` - // The name of the vocabulary to delete. + // The name of the vocabulary you want to delete. Vocabulary names are case-sensitive. // // VocabularyName is a required field VocabularyName *string `min:"1" type:"string" required:"true"` @@ -6438,7 +6481,8 @@ func (s DeleteVocabularyOutput) GoString() string { type DescribeLanguageModelInput struct { _ struct{} `type:"structure"` - // The name of the custom language model you submit to get more information. + // The name of the custom language model you want described. Model names are + // case-sensitive. // // ModelName is a required field ModelName *string `min:"1" type:"string" required:"true"` @@ -6518,7 +6562,8 @@ func (s *DescribeLanguageModelOutput) SetLanguageModel(v *LanguageModel) *Descri type GetCallAnalyticsCategoryInput struct { _ struct{} `type:"structure"` - // The name of the category you want information about. This value is case sensitive. + // The name of the category you want information about. Category names are case + // sensitive. // // CategoryName is a required field CategoryName *string `min:"1" type:"string" required:"true"` @@ -6567,7 +6612,8 @@ func (s *GetCallAnalyticsCategoryInput) SetCategoryName(v string) *GetCallAnalyt type GetCallAnalyticsCategoryOutput struct { _ struct{} `type:"structure"` - // The rules you've defined for a category. + // Provides you with the rules associated with the category you specified in + // your GetCallAnalyticsCategory request. CategoryProperties *CategoryProperties `type:"structure"` } @@ -6648,7 +6694,11 @@ func (s *GetCallAnalyticsJobInput) SetCallAnalyticsJobName(v string) *GetCallAna type GetCallAnalyticsJobOutput struct { _ struct{} `type:"structure"` - // An object that contains the results of your call analytics job. + // An object that contains detailed information about your call analytics job. + // Returned fields include: CallAnalyticsJobName, CallAnalyticsJobStatus, ChannelDefinitions, + // CompletionTime, CreationTime, DataAccessRoleArn, FailureReason, IdentifiedLanguageScore, + // LanguageCode, Media, MediaFormat, MediaSampleRateHertz, Settings, StartTime, + // and Transcript. CallAnalyticsJob *CallAnalyticsJob `type:"structure"` } @@ -6679,7 +6729,8 @@ func (s *GetCallAnalyticsJobOutput) SetCallAnalyticsJob(v *CallAnalyticsJob) *Ge type GetMedicalTranscriptionJobInput struct { _ struct{} `type:"structure"` - // The name of the medical transcription job. + // The name of the medical transcription job you want information about. This + // value is case sensitive. // // MedicalTranscriptionJobName is a required field MedicalTranscriptionJobName *string `min:"1" type:"string" required:"true"` @@ -6728,7 +6779,11 @@ func (s *GetMedicalTranscriptionJobInput) SetMedicalTranscriptionJobName(v strin type GetMedicalTranscriptionJobOutput struct { _ struct{} `type:"structure"` - // An object that contains the results of the medical transcription job. + // An object that contains detailed information about your medical transcription + // job. Returned fields include: CompletionTime, ContentIdentificationType, + // CreationTime, FailureReason, LanguageCode, Media, MediaFormat, MediaSampleRateHertz, + // MedicalTranscriptionJobName, Settings, Specialty, StartTime, Tags, Transcript, + // TranscriptionJobStatus, and Type. MedicalTranscriptionJob *MedicalTranscriptionJob `type:"structure"` } @@ -6759,8 +6814,8 @@ func (s *GetMedicalTranscriptionJobOutput) SetMedicalTranscriptionJob(v *Medical type GetMedicalVocabularyInput struct { _ struct{} `type:"structure"` - // The name of the vocabulary that you want information about. The value is - // case sensitive. + // The name of the medical vocabulary you want information about. This value + // is case sensitive. // // VocabularyName is a required field VocabularyName *string `min:"1" type:"string" required:"true"` @@ -6809,13 +6864,15 @@ func (s *GetMedicalVocabularyInput) SetVocabularyName(v string) *GetMedicalVocab type GetMedicalVocabularyOutput struct { _ struct{} `type:"structure"` - // The location in Amazon S3 where the vocabulary is stored. Use this URI to - // get the contents of the vocabulary. You can download your vocabulary from - // the URI for a limited time. + // The S3 location where the vocabulary is stored; use this URI to view or download + // the vocabulary. DownloadUri *string `min:"1" type:"string"` - // If the VocabularyState is FAILED, this field contains information about why - // the job failed. + // If your request returns a VocabularyState that is FAILED, the FailureReason + // field contains information about why the request failed. + // + // For more information, refer to the Common Errors (https://docs.aws.amazon.com/transcribe/latest/APIReference/CommonErrors.html) + // section. FailureReason *string `type:"string"` // The valid language code for your vocabulary entries. @@ -7607,7 +7664,7 @@ type LanguageModel struct { ModelStatus *string `type:"string" enum:"ModelStatus"` // Whether the base model used for the custom language model is up to date. - // If this field is true then you are running the most up-to-date version of + // If this field is false then you are running the most up-to-date version of // the base model in your custom language model. UpgradeAvailability *bool `type:"boolean"` } @@ -8334,7 +8391,7 @@ type ListMedicalVocabulariesOutput struct { // the MaxResults parameter. If there are more jobs in the list will fit on // a page, Amazon Transcribe Medical returns the NextPage token. To return the // next page of vocabularies, include the token in the next request to the ListMedicalVocabularies - // operation . + // operation. NextToken *string `type:"string"` // The requested vocabulary state. @@ -8866,13 +8923,13 @@ type Media struct { // The S3 object location of the input media file. The URI must be in the same // region as the API endpoint that you are calling. The general form is: // - // s3://// + // s3://DOC-EXAMPLE-BUCKET/keyprefix/objectkey // // For example: // - // s3://AWSDOC-EXAMPLE-BUCKET/example.mp4 + // s3://DOC-EXAMPLE-BUCKET/example.flac // - // s3://AWSDOC-EXAMPLE-BUCKET/mediadocs/example.mp4 + // s3://DOC-EXAMPLE-BUCKET/mediafiles/example.flac // // For more information about S3 object names, see Object Keys (https://docs.aws.amazon.com/AmazonS3/latest/dev/UsingMetadata.html#object-keys) // in the Amazon S3 Developer Guide. @@ -9032,7 +9089,7 @@ type MedicalTranscriptionJob struct { // If you don't specify the sample rate, Amazon Transcribe Medical determines // it for you. If you choose to specify the sample rate, it must match the rate // detected by Amazon Transcribe Medical. - MediaSampleRateHertz *int64 `min:"8000" type:"integer"` + MediaSampleRateHertz *int64 `min:"16000" type:"integer"` // The name for a given medical transcription job. MedicalTranscriptionJobName *string `min:"1" type:"string"` @@ -10270,7 +10327,7 @@ type StartMedicalTranscriptionJobInput struct { // the sample rate. If you specify the sample rate, it must match the rate detected // by Amazon Transcribe Medical. In most cases, you should leave the MediaSampleRateHertz // field blank and let Amazon Transcribe Medical determine the sample rate. - MediaSampleRateHertz *int64 `min:"8000" type:"integer"` + MediaSampleRateHertz *int64 `min:"16000" type:"integer"` // The name of the medical transcription job. You can't use the strings "." // or ".." by themselves as the job name. The name must also be unique within @@ -10351,7 +10408,7 @@ type StartMedicalTranscriptionJobInput struct { // Specialty is a required field Specialty *string `type:"string" required:"true" enum:"Specialty"` - // Add tags to an Amazon Transcribe medical transcription job. + // Add tags to an Amazon Transcribe Medical transcription job. Tags []*Tag `min:"1" type:"list"` // The type of speech in the input audio. CONVERSATION refers to conversations @@ -10392,8 +10449,8 @@ func (s *StartMedicalTranscriptionJobInput) Validate() error { if s.Media == nil { invalidParams.Add(request.NewErrParamRequired("Media")) } - if s.MediaSampleRateHertz != nil && *s.MediaSampleRateHertz < 8000 { - invalidParams.Add(request.NewErrParamMinValue("MediaSampleRateHertz", 8000)) + if s.MediaSampleRateHertz != nil && *s.MediaSampleRateHertz < 16000 { + invalidParams.Add(request.NewErrParamMinValue("MediaSampleRateHertz", 16000)) } if s.MedicalTranscriptionJobName == nil { invalidParams.Add(request.NewErrParamRequired("MedicalTranscriptionJobName")) @@ -10980,7 +11037,8 @@ func (s *Subtitles) SetFormats(v []*string) *Subtitles { return s } -// Specify the output format for your subtitle file. +// Choose the output format for your subtitle file and the S3 location where +// you want your file saved. type SubtitlesOutput_ struct { _ struct{} `type:"structure"` @@ -10988,7 +11046,7 @@ type SubtitlesOutput_ struct { // and VTT formats, two output files are generated. Formats []*string `type:"list"` - // Choose the output location for your subtitle file. This location must be + // Contains the output location for your subtitle file. This location must be // an S3 bucket. SubtitleFileUris []*string `type:"list"` } @@ -11973,11 +12031,11 @@ type UpdateMedicalVocabularyInput struct { // The URI must be in the same Amazon Web Services Region as the resource that // you are calling. The following is the format for a URI: // - // https://s3..amazonaws.com/// + // https://s3.aws-region.amazonaws.com/bucket-name/keyprefix/objectkey // // For example: // - // https://s3.us-east-1.amazonaws.com/AWSDOC-EXAMPLE-BUCKET/vocab.txt + // https://s3.us-east-1.amazonaws.com/DOC-EXAMPLE-BUCKET/vocab.txt // // For more information about Amazon S3 object names, see Object Keys (https://docs.aws.amazon.com/AmazonS3/latest/dev/UsingMetadata.html#object-keys) // in the Amazon S3 Developer Guide. @@ -12267,11 +12325,11 @@ type UpdateVocabularyInput struct { // vocabulary. The URI must be in the same region as the API endpoint that you // are calling. The general form is: // - // https://s3..amazonaws.com/// + // https://s3.aws-region.amazonaws.com/bucket-name/keyprefix/objectkey // // For example: // - // https://s3.us-east-1.amazonaws.com/AWSDOC-EXAMPLE-BUCKET/vocab.txt + // https://s3.us-east-1.amazonaws.com/DOC-EXAMPLE-BUCKET/vocab.txt // // For more information about S3 object names, see Object Keys (https://docs.aws.amazon.com/AmazonS3/latest/dev/UsingMetadata.html#object-keys) // in the Amazon S3 Developer Guide. diff --git a/service/transfer/api.go b/service/transfer/api.go index 9462d16cb61..841f105647f 100644 --- a/service/transfer/api.go +++ b/service/transfer/api.go @@ -4134,8 +4134,20 @@ type CreateServerInput struct { // viewed in your CloudWatch logs. LoggingRole *string `min:"20" type:"string"` + // Specify a string to display when users connect to a server. This string is + // displayed after the user authenticates. + // + // The SFTP protocol does not support post-authentication display banners. PostAuthenticationLoginBanner *string `type:"string"` + // Specify a string to display when users connect to a server. This string is + // displayed before the user authenticates. For example, the following banner + // displays details about using the system. + // + // This system is for the use of authorized users only. Individuals using this + // computer system without authority, or in excess of their authority, are subject + // to having all of their activities on this system monitored and recorded by + // system personnel. PreAuthenticationLoginBanner *string `type:"string"` // The protocol settings that are configured for your server. @@ -6356,8 +6368,20 @@ type DescribedServer struct { // viewed in your CloudWatch logs. LoggingRole *string `min:"20" type:"string"` + // Specify a string to display when users connect to a server. This string is + // displayed after the user authenticates. + // + // The SFTP protocol does not support post-authentication display banners. PostAuthenticationLoginBanner *string `type:"string"` + // Specify a string to display when users connect to a server. This string is + // displayed before the user authenticates. For example, the following banner + // displays details about using the system. + // + // This system is for the use of authorized users only. Individuals using this + // computer system without authority, or in excess of their authority, are subject + // to having all of their activities on this system monitored and recorded by + // system personnel. PreAuthenticationLoginBanner *string `type:"string"` // The protocol settings that are configured for your server. @@ -6952,9 +6976,31 @@ type ExecutionError struct { // Message is a required field Message *string `type:"string" required:"true"` - // Specifies the error type: currently, the only valid value is PERMISSION_DENIED, - // which occurs if your policy does not contain the correct permissions to complete - // one or more of the steps in the workflow. + // Specifies the error type. + // + // * ALREADY_EXISTS: occurs for a copy step, if the overwrite option is not + // selected and a file with the same name already exists in the target location. + // + // * BAD_REQUEST: a general bad request: for example, a step that attempts + // to tag an EFS file returns BAD_REQUEST, as only S3 files can be tagged. + // + // * CUSTOM_STEP_FAILED: occurs when the custom step provided a callback + // that indicates failure. + // + // * INTERNAL_SERVER_ERROR: a catch-all error that can occur for a variety + // of reasons. + // + // * NOT_FOUND: occurs when a requested entity, for example a source file + // for a copy step, does not exist. + // + // * PERMISSION_DENIED: occurs if your policy does not contain the correct + // permissions to complete one or more of the steps in the workflow. + // + // * TIMEOUT: occurs when the execution times out. You can set the TimeoutSeconds + // for a custom step, anywhere from 1 second to 1800 seconds (30 minutes). + // + // * THROTTLED: occurs if you exceed the new execution refill rate of one + // workflow per second. // // Type is a required field Type *string `type:"string" required:"true" enum:"ExecutionErrorType"` @@ -10841,8 +10887,20 @@ type UpdateServerInput struct { // viewed in your CloudWatch logs. LoggingRole *string `type:"string"` + // Specify a string to display when users connect to a server. This string is + // displayed after the user authenticates. + // + // The SFTP protocol does not support post-authentication display banners. PostAuthenticationLoginBanner *string `type:"string"` + // Specify a string to display when users connect to a server. This string is + // displayed before the user authenticates. For example, the following banner + // displays details about using the system. + // + // This system is for the use of authorized users only. Individuals using this + // computer system without authority, or in excess of their authority, are subject + // to having all of their activities on this system monitored and recorded by + // system personnel. PreAuthenticationLoginBanner *string `type:"string"` // The protocol settings that are configured for your server. @@ -11657,12 +11715,40 @@ func EndpointType_Values() []string { const ( // ExecutionErrorTypePermissionDenied is a ExecutionErrorType enum value ExecutionErrorTypePermissionDenied = "PERMISSION_DENIED" + + // ExecutionErrorTypeCustomStepFailed is a ExecutionErrorType enum value + ExecutionErrorTypeCustomStepFailed = "CUSTOM_STEP_FAILED" + + // ExecutionErrorTypeThrottled is a ExecutionErrorType enum value + ExecutionErrorTypeThrottled = "THROTTLED" + + // ExecutionErrorTypeAlreadyExists is a ExecutionErrorType enum value + ExecutionErrorTypeAlreadyExists = "ALREADY_EXISTS" + + // ExecutionErrorTypeNotFound is a ExecutionErrorType enum value + ExecutionErrorTypeNotFound = "NOT_FOUND" + + // ExecutionErrorTypeBadRequest is a ExecutionErrorType enum value + ExecutionErrorTypeBadRequest = "BAD_REQUEST" + + // ExecutionErrorTypeTimeout is a ExecutionErrorType enum value + ExecutionErrorTypeTimeout = "TIMEOUT" + + // ExecutionErrorTypeInternalServerError is a ExecutionErrorType enum value + ExecutionErrorTypeInternalServerError = "INTERNAL_SERVER_ERROR" ) // ExecutionErrorType_Values returns all elements of the ExecutionErrorType enum func ExecutionErrorType_Values() []string { return []string{ ExecutionErrorTypePermissionDenied, + ExecutionErrorTypeCustomStepFailed, + ExecutionErrorTypeThrottled, + ExecutionErrorTypeAlreadyExists, + ExecutionErrorTypeNotFound, + ExecutionErrorTypeBadRequest, + ExecutionErrorTypeTimeout, + ExecutionErrorTypeInternalServerError, } }