/* * Copyright 2018-2023 Amazon.com, Inc. or its affiliates. All Rights Reserved. * * Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with * the License. A copy of the License is located at * * http://aws.amazon.com/apache2.0 * * or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR * CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions * and limitations under the License. */ package com.amazonaws.services.transcribe.model; import java.io.Serializable; import javax.annotation.Generated; import com.amazonaws.AmazonWebServiceRequest; /** * * @see AWS * API Documentation */ @Generated("com.amazonaws:aws-java-sdk-code-generator") public class CreateMedicalVocabularyRequest extends com.amazonaws.AmazonWebServiceRequest implements Serializable, Cloneable { /** *
* A unique name, chosen by you, for your new custom medical 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 new custom medical vocabulary with the same name as an existing custom medical vocabulary,
* you get a ConflictException
error.
*
* The language code that represents the language of the entries in your custom vocabulary. US English (
* en-US
) is the only language supported with Amazon Transcribe Medical.
*
* The Amazon S3 location (URI) of the text file that contains your custom medical vocabulary. The URI must be in * the same Amazon Web Services Region as the resource you're calling. *
*
* Here's an example URI path: s3://DOC-EXAMPLE-BUCKET/my-vocab-file.txt
*
* Adds one or more custom tags, each in the form of a key:value pair, to a new custom medical vocabulary at the * time you create this new custom vocabulary. *
** To learn more about using tags with Amazon Transcribe, refer to Tagging resources. *
*/ private java.util.List* A unique name, chosen by you, for your new custom medical 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 new custom medical vocabulary with the same name as an existing custom medical vocabulary,
* you get a ConflictException
error.
*
* This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services
* account. If you try to create a new custom medical vocabulary with the same name as an existing custom
* medical vocabulary, you get a ConflictException
error.
*/
public void setVocabularyName(String vocabularyName) {
this.vocabularyName = vocabularyName;
}
/**
*
* A unique name, chosen by you, for your new custom medical 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 new custom medical vocabulary with the same name as an existing custom medical vocabulary,
* you get a ConflictException
error.
*
* This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services
* account. If you try to create a new custom medical vocabulary with the same name as an existing custom
* medical vocabulary, you get a ConflictException
error.
*/
public String getVocabularyName() {
return this.vocabularyName;
}
/**
*
* A unique name, chosen by you, for your new custom medical 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 new custom medical vocabulary with the same name as an existing custom medical vocabulary,
* you get a ConflictException
error.
*
* This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services
* account. If you try to create a new custom medical vocabulary with the same name as an existing custom
* medical vocabulary, you get a ConflictException
error.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public CreateMedicalVocabularyRequest withVocabularyName(String vocabularyName) {
setVocabularyName(vocabularyName);
return this;
}
/**
*
* The language code that represents the language of the entries in your custom vocabulary. US English (
* en-US
) is the only language supported with Amazon Transcribe Medical.
*
en-US
) is the only language supported with Amazon Transcribe Medical.
* @see LanguageCode
*/
public void setLanguageCode(String languageCode) {
this.languageCode = languageCode;
}
/**
*
* The language code that represents the language of the entries in your custom vocabulary. US English (
* en-US
) is the only language supported with Amazon Transcribe Medical.
*
en-US
) is the only language supported with Amazon Transcribe Medical.
* @see LanguageCode
*/
public String getLanguageCode() {
return this.languageCode;
}
/**
*
* The language code that represents the language of the entries in your custom vocabulary. US English (
* en-US
) is the only language supported with Amazon Transcribe Medical.
*
en-US
) is the only language supported with Amazon Transcribe Medical.
* @return Returns a reference to this object so that method calls can be chained together.
* @see LanguageCode
*/
public CreateMedicalVocabularyRequest withLanguageCode(String languageCode) {
setLanguageCode(languageCode);
return this;
}
/**
*
* The language code that represents the language of the entries in your custom vocabulary. US English (
* en-US
) is the only language supported with Amazon Transcribe Medical.
*
en-US
) is the only language supported with Amazon Transcribe Medical.
* @return Returns a reference to this object so that method calls can be chained together.
* @see LanguageCode
*/
public CreateMedicalVocabularyRequest withLanguageCode(LanguageCode languageCode) {
this.languageCode = languageCode.toString();
return this;
}
/**
* * The Amazon S3 location (URI) of the text file that contains your custom medical vocabulary. The URI must be in * the same Amazon Web Services Region as the resource you're calling. *
*
* Here's an example URI path: s3://DOC-EXAMPLE-BUCKET/my-vocab-file.txt
*
* Here's an example URI path: s3://DOC-EXAMPLE-BUCKET/my-vocab-file.txt
*/
public void setVocabularyFileUri(String vocabularyFileUri) {
this.vocabularyFileUri = vocabularyFileUri;
}
/**
*
* The Amazon S3 location (URI) of the text file that contains your custom medical vocabulary. The URI must be in * the same Amazon Web Services Region as the resource you're calling. *
*
* Here's an example URI path: s3://DOC-EXAMPLE-BUCKET/my-vocab-file.txt
*
* Here's an example URI path: s3://DOC-EXAMPLE-BUCKET/my-vocab-file.txt
*/
public String getVocabularyFileUri() {
return this.vocabularyFileUri;
}
/**
*
* The Amazon S3 location (URI) of the text file that contains your custom medical vocabulary. The URI must be in * the same Amazon Web Services Region as the resource you're calling. *
*
* Here's an example URI path: s3://DOC-EXAMPLE-BUCKET/my-vocab-file.txt
*
* Here's an example URI path: s3://DOC-EXAMPLE-BUCKET/my-vocab-file.txt
* @return Returns a reference to this object so that method calls can be chained together.
*/
public CreateMedicalVocabularyRequest withVocabularyFileUri(String vocabularyFileUri) {
setVocabularyFileUri(vocabularyFileUri);
return this;
}
/**
*
* Adds one or more custom tags, each in the form of a key:value pair, to a new custom medical vocabulary at the * time you create this new custom vocabulary. *
** To learn more about using tags with Amazon Transcribe, refer to Tagging resources. *
* * @return Adds one or more custom tags, each in the form of a key:value pair, to a new custom medical vocabulary at * the time you create this new custom vocabulary. *
* To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
*/
public java.util.List
* Adds one or more custom tags, each in the form of a key:value pair, to a new custom medical vocabulary at the
* time you create this new custom vocabulary.
*
* To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
*
* To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
*/
public void setTags(java.util.Collection
* Adds one or more custom tags, each in the form of a key:value pair, to a new custom medical vocabulary at the
* time you create this new custom vocabulary.
*
* To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
*
* NOTE: This method appends the values to the existing list (if any). Use
* {@link #setTags(java.util.Collection)} or {@link #withTags(java.util.Collection)} if you want to override the
* existing values.
*
* To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public CreateMedicalVocabularyRequest withTags(Tag... tags) {
if (this.tags == null) {
setTags(new java.util.ArrayList
* Adds one or more custom tags, each in the form of a key:value pair, to a new custom medical vocabulary at the
* time you create this new custom vocabulary.
*
* To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
*
* To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public CreateMedicalVocabularyRequest withTags(java.util.Collection