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// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
#[allow(missing_docs)] // documentation missing in model
#[non_exhaustive]
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::fmt::Debug)]
pub struct StartExpenseAnalysisInput {
/// <p>The location of the document to be processed.</p>
pub document_location: ::std::option::Option<crate::types::DocumentLocation>,
/// <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 client_request_token: ::std::option::Option<::std::string::String>,
/// <p>An identifier 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 job_tag: ::std::option::Option<::std::string::String>,
/// <p>The Amazon SNS topic ARN that you want Amazon Textract to publish the completion status of the operation to.</p>
pub notification_channel: ::std::option::Option<crate::types::NotificationChannel>,
/// <p>Sets if the output will go to a customer defined bucket. By default, Amazon Textract will save the results internally to be accessed by the <code>GetExpenseAnalysis</code> operation.</p>
pub output_config: ::std::option::Option<crate::types::OutputConfig>,
/// <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 kms_key_id: ::std::option::Option<::std::string::String>,
}
impl StartExpenseAnalysisInput {
/// <p>The location of the document to be processed.</p>
pub fn document_location(&self) -> ::std::option::Option<&crate::types::DocumentLocation> {
self.document_location.as_ref()
}
/// <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(&self) -> ::std::option::Option<&str> {
self.client_request_token.as_deref()
}
/// <p>An identifier 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(&self) -> ::std::option::Option<&str> {
self.job_tag.as_deref()
}
/// <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(&self) -> ::std::option::Option<&crate::types::NotificationChannel> {
self.notification_channel.as_ref()
}
/// <p>Sets if the output will go to a customer defined bucket. By default, Amazon Textract will save the results internally to be accessed by the <code>GetExpenseAnalysis</code> operation.</p>
pub fn output_config(&self) -> ::std::option::Option<&crate::types::OutputConfig> {
self.output_config.as_ref()
}
/// <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(&self) -> ::std::option::Option<&str> {
self.kms_key_id.as_deref()
}
}
impl StartExpenseAnalysisInput {
/// Creates a new builder-style object to manufacture [`StartExpenseAnalysisInput`](crate::operation::start_expense_analysis::StartExpenseAnalysisInput).
pub fn builder() -> crate::operation::start_expense_analysis::builders::StartExpenseAnalysisInputBuilder {
crate::operation::start_expense_analysis::builders::StartExpenseAnalysisInputBuilder::default()
}
}
/// A builder for [`StartExpenseAnalysisInput`](crate::operation::start_expense_analysis::StartExpenseAnalysisInput).
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::default::Default, ::std::fmt::Debug)]
#[non_exhaustive]
pub struct StartExpenseAnalysisInputBuilder {
pub(crate) document_location: ::std::option::Option<crate::types::DocumentLocation>,
pub(crate) client_request_token: ::std::option::Option<::std::string::String>,
pub(crate) job_tag: ::std::option::Option<::std::string::String>,
pub(crate) notification_channel: ::std::option::Option<crate::types::NotificationChannel>,
pub(crate) output_config: ::std::option::Option<crate::types::OutputConfig>,
pub(crate) kms_key_id: ::std::option::Option<::std::string::String>,
}
impl StartExpenseAnalysisInputBuilder {
/// <p>The location of the document to be processed.</p>
/// This field is required.
pub fn document_location(mut self, input: crate::types::DocumentLocation) -> Self {
self.document_location = ::std::option::Option::Some(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.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.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.client_request_token = ::std::option::Option::Some(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.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.client_request_token
}
/// <p>An identifier 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.job_tag = ::std::option::Option::Some(input.into());
self
}
/// <p>An identifier 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.job_tag = input;
self
}
/// <p>An identifier 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.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.notification_channel = ::std::option::Option::Some(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.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.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 by the <code>GetExpenseAnalysis</code> operation.</p>
pub fn output_config(mut self, input: crate::types::OutputConfig) -> Self {
self.output_config = ::std::option::Option::Some(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 by the <code>GetExpenseAnalysis</code> operation.</p>
pub fn set_output_config(mut self, input: ::std::option::Option<crate::types::OutputConfig>) -> Self {
self.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 by the <code>GetExpenseAnalysis</code> operation.</p>
pub fn get_output_config(&self) -> &::std::option::Option<crate::types::OutputConfig> {
&self.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.kms_key_id = ::std::option::Option::Some(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.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.kms_key_id
}
/// Consumes the builder and constructs a [`StartExpenseAnalysisInput`](crate::operation::start_expense_analysis::StartExpenseAnalysisInput).
pub fn build(
self,
) -> ::std::result::Result<crate::operation::start_expense_analysis::StartExpenseAnalysisInput, ::aws_smithy_types::error::operation::BuildError>
{
::std::result::Result::Ok(crate::operation::start_expense_analysis::StartExpenseAnalysisInput {
document_location: self.document_location,
client_request_token: self.client_request_token,
job_tag: self.job_tag,
notification_channel: self.notification_channel,
output_config: self.output_config,
kms_key_id: self.kms_key_id,
})
}
}