// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::start_document_text_detection::_start_document_text_detection_input::StartDocumentTextDetectionInputBuilder;
pub use crate::operation::start_document_text_detection::_start_document_text_detection_output::StartDocumentTextDetectionOutputBuilder;
impl crate::operation::start_document_text_detection::builders::StartDocumentTextDetectionInputBuilder {
/// Sends a request with this input using the given client.
pub async fn send_with(
self,
client: &crate::Client,
) -> ::std::result::Result<
crate::operation::start_document_text_detection::StartDocumentTextDetectionOutput,
::aws_smithy_runtime_api::client::result::SdkError<
crate::operation::start_document_text_detection::StartDocumentTextDetectionError,
::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
>,
> {
let mut fluent_builder = client.start_document_text_detection();
fluent_builder.inner = self;
fluent_builder.send().await
}
}
/// Fluent builder constructing a request to `StartDocumentTextDetection`.
///
/// <p>Starts the asynchronous detection of text in a document. Amazon Textract can detect lines of text and the words that make up a line of text.</p>
/// <p><code>StartDocumentTextDetection</code> can analyze text in documents that are in JPEG, PNG, TIFF, and PDF format. The documents are stored in an Amazon S3 bucket. Use <code>DocumentLocation</code> to specify the bucket name and file name of the document.</p>
/// <p><code>StartDocumentTextDetection</code> returns a job identifier (<code>JobId</code>) that you use to get the results of the operation. When text detection is finished, Amazon Textract publishes a completion status to the Amazon Simple Notification Service (Amazon SNS) topic that you specify in <code>NotificationChannel</code>. To get the results of the text detection operation, first check that the status value published to the Amazon SNS topic is <code>SUCCEEDED</code>. If so, call <code>GetDocumentTextDetection</code>, and pass the job identifier (<code>JobId</code>) from the initial call to <code>StartDocumentTextDetection</code>.</p>
/// <p>For more information, see <a href="https://docs.aws.amazon.com/textract/latest/dg/how-it-works-detecting.html">Document Text Detection</a>.</p>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct StartDocumentTextDetectionFluentBuilder {
handle: ::std::sync::Arc<crate::client::Handle>,
inner: crate::operation::start_document_text_detection::builders::StartDocumentTextDetectionInputBuilder,
config_override: ::std::option::Option<crate::config::Builder>,
}
impl
crate::client::customize::internal::CustomizableSend<
crate::operation::start_document_text_detection::StartDocumentTextDetectionOutput,
crate::operation::start_document_text_detection::StartDocumentTextDetectionError,
> for StartDocumentTextDetectionFluentBuilder
{
fn send(
self,
config_override: crate::config::Builder,
) -> crate::client::customize::internal::BoxFuture<
crate::client::customize::internal::SendResult<
crate::operation::start_document_text_detection::StartDocumentTextDetectionOutput,
crate::operation::start_document_text_detection::StartDocumentTextDetectionError,
>,
> {
::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
}
}
impl StartDocumentTextDetectionFluentBuilder {
/// Creates a new `StartDocumentTextDetectionFluentBuilder`.
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 StartDocumentTextDetection as a reference.
pub fn as_input(&self) -> &crate::operation::start_document_text_detection::builders::StartDocumentTextDetectionInputBuilder {
&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::start_document_text_detection::StartDocumentTextDetectionOutput,
::aws_smithy_runtime_api::client::result::SdkError<
crate::operation::start_document_text_detection::StartDocumentTextDetectionError,
::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::start_document_text_detection::StartDocumentTextDetection::operation_runtime_plugins(
self.handle.runtime_plugins.clone(),
&self.handle.conf,
self.config_override,
);
crate::operation::start_document_text_detection::StartDocumentTextDetection::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::start_document_text_detection::StartDocumentTextDetectionOutput,
crate::operation::start_document_text_detection::StartDocumentTextDetectionError,
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>The location of the document to be processed.</p>
pub fn document_location(mut self, input: crate::types::DocumentLocation) -> Self {
self.inner = self.inner.document_location(input);
self
}
/// <p>The location of the document to be processed.</p>
pub fn set_document_location(mut self, input: ::std::option::Option<crate::types::DocumentLocation>) -> Self {
self.inner = self.inner.set_document_location(input);
self
}
/// <p>The location of the document to be processed.</p>
pub fn get_document_location(&self) -> &::std::option::Option<crate::types::DocumentLocation> {
self.inner.get_document_location()
}
/// <p>The idempotent token that's used to identify the start request. If you use the same token with multiple <code>StartDocumentTextDetection</code> requests, the same <code>JobId</code> is returned. Use <code>ClientRequestToken</code> to prevent the same job from being accidentally started more than once. For more information, see <a href="https://docs.aws.amazon.com/textract/latest/dg/api-async.html">Calling Amazon Textract Asynchronous Operations</a>.</p>
pub fn client_request_token(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.client_request_token(input.into());
self
}
/// <p>The idempotent token that's used to identify the start request. If you use the same token with multiple <code>StartDocumentTextDetection</code> requests, the same <code>JobId</code> is returned. Use <code>ClientRequestToken</code> to prevent the same job from being accidentally started more than once. For more information, see <a href="https://docs.aws.amazon.com/textract/latest/dg/api-async.html">Calling Amazon Textract Asynchronous Operations</a>.</p>
pub fn set_client_request_token(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_client_request_token(input);
self
}
/// <p>The idempotent token that's used to identify the start request. If you use the same token with multiple <code>StartDocumentTextDetection</code> requests, the same <code>JobId</code> is returned. Use <code>ClientRequestToken</code> to prevent the same job from being accidentally started more than once. For more information, see <a href="https://docs.aws.amazon.com/textract/latest/dg/api-async.html">Calling Amazon Textract Asynchronous Operations</a>.</p>
pub fn get_client_request_token(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_client_request_token()
}
/// <p>An identifier that you specify that's included in the completion notification published to the Amazon SNS topic. For example, you can use <code>JobTag</code> to identify the type of document that the completion notification corresponds to (such as a tax form or a receipt).</p>
pub fn job_tag(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.job_tag(input.into());
self
}
/// <p>An identifier that you specify that's included in the completion notification published to the Amazon SNS topic. For example, you can use <code>JobTag</code> to identify the type of document that the completion notification corresponds to (such as a tax form or a receipt).</p>
pub fn set_job_tag(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_job_tag(input);
self
}
/// <p>An identifier that you specify that's included in the completion notification published to the Amazon SNS topic. For example, you can use <code>JobTag</code> to identify the type of document that the completion notification corresponds to (such as a tax form or a receipt).</p>
pub fn get_job_tag(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_job_tag()
}
/// <p>The Amazon SNS topic ARN that you want Amazon Textract to publish the completion status of the operation to.</p>
pub fn notification_channel(mut self, input: crate::types::NotificationChannel) -> Self {
self.inner = self.inner.notification_channel(input);
self
}
/// <p>The Amazon SNS topic ARN that you want Amazon Textract to publish the completion status of the operation to.</p>
pub fn set_notification_channel(mut self, input: ::std::option::Option<crate::types::NotificationChannel>) -> Self {
self.inner = self.inner.set_notification_channel(input);
self
}
/// <p>The Amazon SNS topic ARN that you want Amazon Textract to publish the completion status of the operation to.</p>
pub fn get_notification_channel(&self) -> &::std::option::Option<crate::types::NotificationChannel> {
self.inner.get_notification_channel()
}
/// <p>Sets if the output will go to a customer defined bucket. By default Amazon Textract will save the results internally to be accessed with the GetDocumentTextDetection operation.</p>
pub fn output_config(mut self, input: crate::types::OutputConfig) -> Self {
self.inner = self.inner.output_config(input);
self
}
/// <p>Sets if the output will go to a customer defined bucket. By default Amazon Textract will save the results internally to be accessed with the GetDocumentTextDetection operation.</p>
pub fn set_output_config(mut self, input: ::std::option::Option<crate::types::OutputConfig>) -> Self {
self.inner = self.inner.set_output_config(input);
self
}
/// <p>Sets if the output will go to a customer defined bucket. By default Amazon Textract will save the results internally to be accessed with the GetDocumentTextDetection operation.</p>
pub fn get_output_config(&self) -> &::std::option::Option<crate::types::OutputConfig> {
self.inner.get_output_config()
}
/// <p>The KMS key used to encrypt the inference results. This can be in either Key ID or Key Alias format. When a KMS key is provided, the KMS key will be used for server-side encryption of the objects in the customer bucket. When this parameter is not enabled, the result will be encrypted server side,using SSE-S3.</p>
pub fn kms_key_id(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.kms_key_id(input.into());
self
}
/// <p>The KMS key used to encrypt the inference results. This can be in either Key ID or Key Alias format. When a KMS key is provided, the KMS key will be used for server-side encryption of the objects in the customer bucket. When this parameter is not enabled, the result will be encrypted server side,using SSE-S3.</p>
pub fn set_kms_key_id(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_kms_key_id(input);
self
}
/// <p>The KMS key used to encrypt the inference results. This can be in either Key ID or Key Alias format. When a KMS key is provided, the KMS key will be used for server-side encryption of the objects in the customer bucket. When this parameter is not enabled, the result will be encrypted server side,using SSE-S3.</p>
pub fn get_kms_key_id(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_kms_key_id()
}
}