// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::start_lending_analysis::_start_lending_analysis_output::StartLendingAnalysisOutputBuilder;

pub use crate::operation::start_lending_analysis::_start_lending_analysis_input::StartLendingAnalysisInputBuilder;

impl crate::operation::start_lending_analysis::builders::StartLendingAnalysisInputBuilder {
    /// 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_lending_analysis::StartLendingAnalysisOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::start_lending_analysis::StartLendingAnalysisError,
            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
        >,
    > {
        let mut fluent_builder = client.start_lending_analysis();
        fluent_builder.inner = self;
        fluent_builder.send().await
    }
}
/// Fluent builder constructing a request to `StartLendingAnalysis`.
///
/// <p>Starts the classification and analysis of an input document. <code>StartLendingAnalysis</code> initiates the classification and analysis of a packet of lending documents. <code>StartLendingAnalysis</code> operates on a document file located in an Amazon S3 bucket.</p>
/// <p><code>StartLendingAnalysis</code> can analyze text in documents that are in one of the following formats: JPEG, PNG, TIFF, PDF. Use <code>DocumentLocation</code> to specify the bucket name and the file name of the document.</p>
/// <p><code>StartLendingAnalysis</code> returns a job identifier (<code>JobId</code>) that you use to get the results of the operation. When the text analysis 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 analysis operation, first check that the status value published to the Amazon SNS topic is SUCCEEDED. If the status is SUCCEEDED you can call either <code>GetLendingAnalysis</code> or <code>GetLendingAnalysisSummary</code> and provide the <code>JobId</code> to obtain the results of the analysis.</p>
/// <p>If using <code>OutputConfig</code> to specify an Amazon S3 bucket, the output will be contained within the specified prefix in a directory labeled with the job-id. In the directory there are 3 sub-directories:</p>
/// <ul>
/// <li>
/// <p>detailedResponse (contains the GetLendingAnalysis response)</p></li>
/// <li>
/// <p>summaryResponse (for the GetLendingAnalysisSummary response)</p></li>
/// <li>
/// <p>splitDocuments (documents split across logical boundaries)</p></li>
/// </ul>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct StartLendingAnalysisFluentBuilder {
    handle: ::std::sync::Arc<crate::client::Handle>,
    inner: crate::operation::start_lending_analysis::builders::StartLendingAnalysisInputBuilder,
    config_override: ::std::option::Option<crate::config::Builder>,
}
impl
    crate::client::customize::internal::CustomizableSend<
        crate::operation::start_lending_analysis::StartLendingAnalysisOutput,
        crate::operation::start_lending_analysis::StartLendingAnalysisError,
    > for StartLendingAnalysisFluentBuilder
{
    fn send(
        self,
        config_override: crate::config::Builder,
    ) -> crate::client::customize::internal::BoxFuture<
        crate::client::customize::internal::SendResult<
            crate::operation::start_lending_analysis::StartLendingAnalysisOutput,
            crate::operation::start_lending_analysis::StartLendingAnalysisError,
        >,
    > {
        ::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
    }
}
impl StartLendingAnalysisFluentBuilder {
    /// Creates a new `StartLendingAnalysisFluentBuilder`.
    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 StartLendingAnalysis as a reference.
    pub fn as_input(&self) -> &crate::operation::start_lending_analysis::builders::StartLendingAnalysisInputBuilder {
        &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_lending_analysis::StartLendingAnalysisOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::start_lending_analysis::StartLendingAnalysisError,
            ::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_lending_analysis::StartLendingAnalysis::operation_runtime_plugins(
            self.handle.runtime_plugins.clone(),
            &self.handle.conf,
            self.config_override,
        );
        crate::operation::start_lending_analysis::StartLendingAnalysis::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_lending_analysis::StartLendingAnalysisOutput,
        crate::operation::start_lending_analysis::StartLendingAnalysisError,
        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 Amazon S3 bucket that contains the document to be processed. It's used by asynchronous operations.</p>
    /// <p>The input document can be an image file in JPEG or PNG format. It can also be a file in PDF format.</p>
    pub fn document_location(mut self, input: crate::types::DocumentLocation) -> Self {
        self.inner = self.inner.document_location(input);
        self
    }
    /// <p>The Amazon S3 bucket that contains the document to be processed. It's used by asynchronous operations.</p>
    /// <p>The input document can be an image file in JPEG or PNG format. It can also be a file in PDF format.</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 Amazon S3 bucket that contains the document to be processed. It's used by asynchronous operations.</p>
    /// <p>The input document can be an image file in JPEG or PNG format. It can also be a file in PDF format.</p>
    pub fn get_document_location(&self) -> &::std::option::Option<crate::types::DocumentLocation> {
        self.inner.get_document_location()
    }
    /// <p>The idempotent token that you use to identify the start request. If you use the same token with multiple <code>StartLendingAnalysis</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-sync.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 you use to identify the start request. If you use the same token with multiple <code>StartLendingAnalysis</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-sync.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 you use to identify the start request. If you use the same token with multiple <code>StartLendingAnalysis</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-sync.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 to be 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 to be 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 to be 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 Simple Notification Service (Amazon SNS) topic to which Amazon Textract publishes the completion status of an asynchronous document operation.</p>
    pub fn notification_channel(mut self, input: crate::types::NotificationChannel) -> Self {
        self.inner = self.inner.notification_channel(input);
        self
    }
    /// <p>The Amazon Simple Notification Service (Amazon SNS) topic to which Amazon Textract publishes the completion status of an asynchronous document operation.</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 Simple Notification Service (Amazon SNS) topic to which Amazon Textract publishes the completion status of an asynchronous document operation.</p>
    pub fn get_notification_channel(&self) -> &::std::option::Option<crate::types::NotificationChannel> {
        self.inner.get_notification_channel()
    }
    /// <p>Sets whether or not your output will go to a user created bucket. Used to set the name of the bucket, and the prefix on the output file.</p>
    /// <p><code>OutputConfig</code> is an optional parameter which lets you adjust where your output will be placed. By default, Amazon Textract will store the results internally and can only be accessed by the Get API operations. With <code>OutputConfig</code> enabled, you can set the name of the bucket the output will be sent to the file prefix of the results where you can download your results. Additionally, you can set the <code>KMSKeyID</code> parameter to a customer master key (CMK) to encrypt your output. Without this parameter set Amazon Textract will encrypt server-side using the AWS managed CMK for Amazon S3.</p>
    /// <p>Decryption of Customer Content is necessary for processing of the documents by Amazon Textract. If your account is opted out under an AI services opt out policy then all unencrypted Customer Content is immediately and permanently deleted after the Customer Content has been processed by the service. No copy of of the output is retained by Amazon Textract. For information about how to opt out, see <a href="https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_ai-opt-out.html"> Managing AI services opt-out policy. </a></p>
    /// <p>For more information on data privacy, see the <a href="https://aws.amazon.com/compliance/data-privacy-faq/">Data Privacy FAQ</a>.</p>
    pub fn output_config(mut self, input: crate::types::OutputConfig) -> Self {
        self.inner = self.inner.output_config(input);
        self
    }
    /// <p>Sets whether or not your output will go to a user created bucket. Used to set the name of the bucket, and the prefix on the output file.</p>
    /// <p><code>OutputConfig</code> is an optional parameter which lets you adjust where your output will be placed. By default, Amazon Textract will store the results internally and can only be accessed by the Get API operations. With <code>OutputConfig</code> enabled, you can set the name of the bucket the output will be sent to the file prefix of the results where you can download your results. Additionally, you can set the <code>KMSKeyID</code> parameter to a customer master key (CMK) to encrypt your output. Without this parameter set Amazon Textract will encrypt server-side using the AWS managed CMK for Amazon S3.</p>
    /// <p>Decryption of Customer Content is necessary for processing of the documents by Amazon Textract. If your account is opted out under an AI services opt out policy then all unencrypted Customer Content is immediately and permanently deleted after the Customer Content has been processed by the service. No copy of of the output is retained by Amazon Textract. For information about how to opt out, see <a href="https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_ai-opt-out.html"> Managing AI services opt-out policy. </a></p>
    /// <p>For more information on data privacy, see the <a href="https://aws.amazon.com/compliance/data-privacy-faq/">Data Privacy FAQ</a>.</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 whether or not your output will go to a user created bucket. Used to set the name of the bucket, and the prefix on the output file.</p>
    /// <p><code>OutputConfig</code> is an optional parameter which lets you adjust where your output will be placed. By default, Amazon Textract will store the results internally and can only be accessed by the Get API operations. With <code>OutputConfig</code> enabled, you can set the name of the bucket the output will be sent to the file prefix of the results where you can download your results. Additionally, you can set the <code>KMSKeyID</code> parameter to a customer master key (CMK) to encrypt your output. Without this parameter set Amazon Textract will encrypt server-side using the AWS managed CMK for Amazon S3.</p>
    /// <p>Decryption of Customer Content is necessary for processing of the documents by Amazon Textract. If your account is opted out under an AI services opt out policy then all unencrypted Customer Content is immediately and permanently deleted after the Customer Content has been processed by the service. No copy of of the output is retained by Amazon Textract. For information about how to opt out, see <a href="https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_ai-opt-out.html"> Managing AI services opt-out policy. </a></p>
    /// <p>For more information on data privacy, see the <a href="https://aws.amazon.com/compliance/data-privacy-faq/">Data Privacy FAQ</a>.</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()
    }
}