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// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::create_vocabulary::_create_vocabulary_output::CreateVocabularyOutputBuilder;
pub use crate::operation::create_vocabulary::_create_vocabulary_input::CreateVocabularyInputBuilder;
impl crate::operation::create_vocabulary::builders::CreateVocabularyInputBuilder {
/// Sends a request with this input using the given client.
pub async fn send_with(
self,
client: &crate::Client,
) -> ::std::result::Result<
crate::operation::create_vocabulary::CreateVocabularyOutput,
::aws_smithy_runtime_api::client::result::SdkError<
crate::operation::create_vocabulary::CreateVocabularyError,
::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
>,
> {
let mut fluent_builder = client.create_vocabulary();
fluent_builder.inner = self;
fluent_builder.send().await
}
}
/// Fluent builder constructing a request to `CreateVocabulary`.
///
/// <p>Creates a new custom vocabulary.</p>
/// <p>When creating a new custom vocabulary, you can either upload a text file that contains your new entries, phrases, and terms into an Amazon S3 bucket and include the URI in your request. Or you can include a list of terms directly in your request using the <code>Phrases</code> flag.</p>
/// <p>Each language has a character set that contains all allowed characters for that specific language. If you use unsupported characters, your custom vocabulary request fails. Refer to <a href="https://docs.aws.amazon.com/transcribe/latest/dg/charsets.html">Character Sets for Custom Vocabularies</a> to get the character set for your language.</p>
/// <p>For more information, see <a href="https://docs.aws.amazon.com/transcribe/latest/dg/custom-vocabulary.html">Custom vocabularies</a>.</p>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct CreateVocabularyFluentBuilder {
handle: ::std::sync::Arc<crate::client::Handle>,
inner: crate::operation::create_vocabulary::builders::CreateVocabularyInputBuilder,
config_override: ::std::option::Option<crate::config::Builder>,
}
impl
crate::client::customize::internal::CustomizableSend<
crate::operation::create_vocabulary::CreateVocabularyOutput,
crate::operation::create_vocabulary::CreateVocabularyError,
> for CreateVocabularyFluentBuilder
{
fn send(
self,
config_override: crate::config::Builder,
) -> crate::client::customize::internal::BoxFuture<
crate::client::customize::internal::SendResult<
crate::operation::create_vocabulary::CreateVocabularyOutput,
crate::operation::create_vocabulary::CreateVocabularyError,
>,
> {
::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
}
}
impl CreateVocabularyFluentBuilder {
/// Creates a new `CreateVocabularyFluentBuilder`.
pub(crate) fn new(handle: ::std::sync::Arc<crate::client::Handle>) -> Self {
Self {
handle,
inner: ::std::default::Default::default(),
config_override: ::std::option::Option::None,
}
}
/// Access the CreateVocabulary as a reference.
pub fn as_input(&self) -> &crate::operation::create_vocabulary::builders::CreateVocabularyInputBuilder {
&self.inner
}
/// Sends the request and returns the response.
///
/// If an error occurs, an `SdkError` will be returned with additional details that
/// can be matched against.
///
/// By default, any retryable failures will be retried twice. Retry behavior
/// is configurable with the [RetryConfig](aws_smithy_types::retry::RetryConfig), which can be
/// set when configuring the client.
pub async fn send(
self,
) -> ::std::result::Result<
crate::operation::create_vocabulary::CreateVocabularyOutput,
::aws_smithy_runtime_api::client::result::SdkError<
crate::operation::create_vocabulary::CreateVocabularyError,
::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
>,
> {
let input = self
.inner
.build()
.map_err(::aws_smithy_runtime_api::client::result::SdkError::construction_failure)?;
let runtime_plugins = crate::operation::create_vocabulary::CreateVocabulary::operation_runtime_plugins(
self.handle.runtime_plugins.clone(),
&self.handle.conf,
self.config_override,
);
crate::operation::create_vocabulary::CreateVocabulary::orchestrate(&runtime_plugins, input).await
}
/// Consumes this builder, creating a customizable operation that can be modified before being sent.
pub fn customize(
self,
) -> crate::client::customize::CustomizableOperation<
crate::operation::create_vocabulary::CreateVocabularyOutput,
crate::operation::create_vocabulary::CreateVocabularyError,
Self,
> {
crate::client::customize::CustomizableOperation::new(self)
}
pub(crate) fn config_override(mut self, config_override: impl ::std::convert::Into<crate::config::Builder>) -> Self {
self.set_config_override(::std::option::Option::Some(config_override.into()));
self
}
pub(crate) fn set_config_override(&mut self, config_override: ::std::option::Option<crate::config::Builder>) -> &mut Self {
self.config_override = config_override;
self
}
/// <p>A unique name, chosen by you, for your new custom vocabulary.</p>
/// <p>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 vocabulary with the same name as an existing custom vocabulary, you get a <code>ConflictException</code> error.</p>
pub fn vocabulary_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.vocabulary_name(input.into());
self
}
/// <p>A unique name, chosen by you, for your new custom vocabulary.</p>
/// <p>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 vocabulary with the same name as an existing custom vocabulary, you get a <code>ConflictException</code> error.</p>
pub fn set_vocabulary_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_vocabulary_name(input);
self
}
/// <p>A unique name, chosen by you, for your new custom vocabulary.</p>
/// <p>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 vocabulary with the same name as an existing custom vocabulary, you get a <code>ConflictException</code> error.</p>
pub fn get_vocabulary_name(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_vocabulary_name()
}
/// <p>The language code that represents the language of the entries in your custom vocabulary. Each custom vocabulary must contain terms in only one language.</p>
/// <p>A custom vocabulary can only be used to transcribe files in the same language as the custom vocabulary. For example, if you create a custom vocabulary using US English (<code>en-US</code>), you can only apply this custom vocabulary to files that contain English audio.</p>
/// <p>For a list of supported languages and their associated language codes, refer to the <a href="https://docs.aws.amazon.com/transcribe/latest/dg/supported-languages.html">Supported languages</a> table.</p>
pub fn language_code(mut self, input: crate::types::LanguageCode) -> Self {
self.inner = self.inner.language_code(input);
self
}
/// <p>The language code that represents the language of the entries in your custom vocabulary. Each custom vocabulary must contain terms in only one language.</p>
/// <p>A custom vocabulary can only be used to transcribe files in the same language as the custom vocabulary. For example, if you create a custom vocabulary using US English (<code>en-US</code>), you can only apply this custom vocabulary to files that contain English audio.</p>
/// <p>For a list of supported languages and their associated language codes, refer to the <a href="https://docs.aws.amazon.com/transcribe/latest/dg/supported-languages.html">Supported languages</a> table.</p>
pub fn set_language_code(mut self, input: ::std::option::Option<crate::types::LanguageCode>) -> Self {
self.inner = self.inner.set_language_code(input);
self
}
/// <p>The language code that represents the language of the entries in your custom vocabulary. Each custom vocabulary must contain terms in only one language.</p>
/// <p>A custom vocabulary can only be used to transcribe files in the same language as the custom vocabulary. For example, if you create a custom vocabulary using US English (<code>en-US</code>), you can only apply this custom vocabulary to files that contain English audio.</p>
/// <p>For a list of supported languages and their associated language codes, refer to the <a href="https://docs.aws.amazon.com/transcribe/latest/dg/supported-languages.html">Supported languages</a> table.</p>
pub fn get_language_code(&self) -> &::std::option::Option<crate::types::LanguageCode> {
self.inner.get_language_code()
}
///
/// Appends an item to `Phrases`.
///
/// To override the contents of this collection use [`set_phrases`](Self::set_phrases).
///
/// <p>Use this parameter if you want to create your custom vocabulary by including all desired terms, as comma-separated values, within your request. The other option for creating your custom vocabulary is to save your entries in a text file and upload them to an Amazon S3 bucket, then specify the location of your file using the <code>VocabularyFileUri</code> parameter.</p>
/// <p>Note that if you include <code>Phrases</code> in your request, you cannot use <code>VocabularyFileUri</code>; you must choose one or the other.</p>
/// <p>Each language has a character set that contains all allowed characters for that specific language. If you use unsupported characters, your custom vocabulary filter request fails. Refer to <a href="https://docs.aws.amazon.com/transcribe/latest/dg/charsets.html">Character Sets for Custom Vocabularies</a> to get the character set for your language.</p>
pub fn phrases(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.phrases(input.into());
self
}
/// <p>Use this parameter if you want to create your custom vocabulary by including all desired terms, as comma-separated values, within your request. The other option for creating your custom vocabulary is to save your entries in a text file and upload them to an Amazon S3 bucket, then specify the location of your file using the <code>VocabularyFileUri</code> parameter.</p>
/// <p>Note that if you include <code>Phrases</code> in your request, you cannot use <code>VocabularyFileUri</code>; you must choose one or the other.</p>
/// <p>Each language has a character set that contains all allowed characters for that specific language. If you use unsupported characters, your custom vocabulary filter request fails. Refer to <a href="https://docs.aws.amazon.com/transcribe/latest/dg/charsets.html">Character Sets for Custom Vocabularies</a> to get the character set for your language.</p>
pub fn set_phrases(mut self, input: ::std::option::Option<::std::vec::Vec<::std::string::String>>) -> Self {
self.inner = self.inner.set_phrases(input);
self
}
/// <p>Use this parameter if you want to create your custom vocabulary by including all desired terms, as comma-separated values, within your request. The other option for creating your custom vocabulary is to save your entries in a text file and upload them to an Amazon S3 bucket, then specify the location of your file using the <code>VocabularyFileUri</code> parameter.</p>
/// <p>Note that if you include <code>Phrases</code> in your request, you cannot use <code>VocabularyFileUri</code>; you must choose one or the other.</p>
/// <p>Each language has a character set that contains all allowed characters for that specific language. If you use unsupported characters, your custom vocabulary filter request fails. Refer to <a href="https://docs.aws.amazon.com/transcribe/latest/dg/charsets.html">Character Sets for Custom Vocabularies</a> to get the character set for your language.</p>
pub fn get_phrases(&self) -> &::std::option::Option<::std::vec::Vec<::std::string::String>> {
self.inner.get_phrases()
}
/// <p>The Amazon S3 location of the text file that contains your custom vocabulary. The URI must be located in the same Amazon Web Services Region as the resource you're calling.</p>
/// <p>Here's an example URI path: <code>s3://DOC-EXAMPLE-BUCKET/my-vocab-file.txt</code></p>
/// <p>Note that if you include <code>VocabularyFileUri</code> in your request, you cannot use the <code>Phrases</code> flag; you must choose one or the other.</p>
pub fn vocabulary_file_uri(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.vocabulary_file_uri(input.into());
self
}
/// <p>The Amazon S3 location of the text file that contains your custom vocabulary. The URI must be located in the same Amazon Web Services Region as the resource you're calling.</p>
/// <p>Here's an example URI path: <code>s3://DOC-EXAMPLE-BUCKET/my-vocab-file.txt</code></p>
/// <p>Note that if you include <code>VocabularyFileUri</code> in your request, you cannot use the <code>Phrases</code> flag; you must choose one or the other.</p>
pub fn set_vocabulary_file_uri(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_vocabulary_file_uri(input);
self
}
/// <p>The Amazon S3 location of the text file that contains your custom vocabulary. The URI must be located in the same Amazon Web Services Region as the resource you're calling.</p>
/// <p>Here's an example URI path: <code>s3://DOC-EXAMPLE-BUCKET/my-vocab-file.txt</code></p>
/// <p>Note that if you include <code>VocabularyFileUri</code> in your request, you cannot use the <code>Phrases</code> flag; you must choose one or the other.</p>
pub fn get_vocabulary_file_uri(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_vocabulary_file_uri()
}
///
/// Appends an item to `Tags`.
///
/// To override the contents of this collection use [`set_tags`](Self::set_tags).
///
/// <p>Adds one or more custom tags, each in the form of a key:value pair, to a new custom vocabulary at the time you create this new custom vocabulary.</p>
/// <p>To learn more about using tags with Amazon Transcribe, refer to <a href="https://docs.aws.amazon.com/transcribe/latest/dg/tagging.html">Tagging resources</a>.</p>
pub fn tags(mut self, input: crate::types::Tag) -> Self {
self.inner = self.inner.tags(input);
self
}
/// <p>Adds one or more custom tags, each in the form of a key:value pair, to a new custom vocabulary at the time you create this new custom vocabulary.</p>
/// <p>To learn more about using tags with Amazon Transcribe, refer to <a href="https://docs.aws.amazon.com/transcribe/latest/dg/tagging.html">Tagging resources</a>.</p>
pub fn set_tags(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::Tag>>) -> Self {
self.inner = self.inner.set_tags(input);
self
}
/// <p>Adds one or more custom tags, each in the form of a key:value pair, to a new custom vocabulary at the time you create this new custom vocabulary.</p>
/// <p>To learn more about using tags with Amazon Transcribe, refer to <a href="https://docs.aws.amazon.com/transcribe/latest/dg/tagging.html">Tagging resources</a>.</p>
pub fn get_tags(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::Tag>> {
self.inner.get_tags()
}
/// <p>The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files (in this case, your custom vocabulary). If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails.</p>
/// <p>IAM role ARNs have the format <code>arn:partition:iam::account:role/role-name-with-path</code>. For example: <code>arn:aws:iam::111122223333:role/Admin</code>.</p>
/// <p>For more information, see <a href="https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_identifiers.html#identifiers-arns">IAM ARNs</a>.</p>
pub fn data_access_role_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.data_access_role_arn(input.into());
self
}
/// <p>The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files (in this case, your custom vocabulary). If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails.</p>
/// <p>IAM role ARNs have the format <code>arn:partition:iam::account:role/role-name-with-path</code>. For example: <code>arn:aws:iam::111122223333:role/Admin</code>.</p>
/// <p>For more information, see <a href="https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_identifiers.html#identifiers-arns">IAM ARNs</a>.</p>
pub fn set_data_access_role_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_data_access_role_arn(input);
self
}
/// <p>The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files (in this case, your custom vocabulary). If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails.</p>
/// <p>IAM role ARNs have the format <code>arn:partition:iam::account:role/role-name-with-path</code>. For example: <code>arn:aws:iam::111122223333:role/Admin</code>.</p>
/// <p>For more information, see <a href="https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_identifiers.html#identifiers-arns">IAM ARNs</a>.</p>
pub fn get_data_access_role_arn(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_data_access_role_arn()
}
}