Struct aws_sdk_textract::operation::start_lending_analysis::builders::StartLendingAnalysisFluentBuilder

pub struct StartLendingAnalysisFluentBuilder { /* private fields */ }

Fluent builder constructing a request to StartLendingAnalysis.

Starts the classification and analysis of an input document. StartLendingAnalysis initiates the classification and analysis of a packet of lending documents. StartLendingAnalysis operates on a document file located in an Amazon S3 bucket.

StartLendingAnalysis can analyze text in documents that are in one of the following formats: JPEG, PNG, TIFF, PDF. Use DocumentLocation to specify the bucket name and the file name of the document.

StartLendingAnalysis returns a job identifier (JobId) 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 NotificationChannel. 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 GetLendingAnalysis or GetLendingAnalysisSummary and provide the JobId to obtain the results of the analysis.

If using OutputConfig 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:

• detailedResponse (contains the GetLendingAnalysis response)

• summaryResponse (for the GetLendingAnalysisSummary response)

• splitDocuments (documents split across logical boundaries)

Implementations

impl StartLendingAnalysisFluentBuilder

pub fn as_input(&self) -> &StartLendingAnalysisInputBuilder

Access the StartLendingAnalysis as a reference.

pub async fn send( self ) -> Result<StartLendingAnalysisOutput, SdkError<StartLendingAnalysisError, HttpResponse>>

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, which can be set when configuring the client.

pub fn customize( self ) -> CustomizableOperation<StartLendingAnalysisOutput, StartLendingAnalysisError, Self>

Consumes this builder, creating a customizable operation that can be modified before being sent.

pub fn document_location(self, input: DocumentLocation) -> Self

The Amazon S3 bucket that contains the document to be processed. It's used by asynchronous operations.

The input document can be an image file in JPEG or PNG format. It can also be a file in PDF format.

pub fn set_document_location(self, input: Option<DocumentLocation>) -> Self

The Amazon S3 bucket that contains the document to be processed. It's used by asynchronous operations.

The input document can be an image file in JPEG or PNG format. It can also be a file in PDF format.

pub fn get_document_location(&self) -> &Option<DocumentLocation>

The Amazon S3 bucket that contains the document to be processed. It's used by asynchronous operations.

The input document can be an image file in JPEG or PNG format. It can also be a file in PDF format.

pub fn client_request_token(self, input: impl Into<String>) -> Self

The idempotent token that you use to identify the start request. If you use the same token with multiple StartLendingAnalysis requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidentally started more than once. For more information, see Calling Amazon Textract Asynchronous Operations.

pub fn set_client_request_token(self, input: Option<String>) -> Self

The idempotent token that you use to identify the start request. If you use the same token with multiple StartLendingAnalysis requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidentally started more than once. For more information, see Calling Amazon Textract Asynchronous Operations.

pub fn get_client_request_token(&self) -> &Option<String>

The idempotent token that you use to identify the start request. If you use the same token with multiple StartLendingAnalysis requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidentally started more than once. For more information, see Calling Amazon Textract Asynchronous Operations.

pub fn job_tag(self, input: impl Into<String>) -> Self

An identifier that you specify to be included in the completion notification published to the Amazon SNS topic. For example, you can use JobTag to identify the type of document that the completion notification corresponds to (such as a tax form or a receipt).

pub fn set_job_tag(self, input: Option<String>) -> Self

An identifier that you specify to be included in the completion notification published to the Amazon SNS topic. For example, you can use JobTag to identify the type of document that the completion notification corresponds to (such as a tax form or a receipt).

pub fn get_job_tag(&self) -> &Option<String>

An identifier that you specify to be included in the completion notification published to the Amazon SNS topic. For example, you can use JobTag to identify the type of document that the completion notification corresponds to (such as a tax form or a receipt).

pub fn notification_channel(self, input: NotificationChannel) -> Self

The Amazon Simple Notification Service (Amazon SNS) topic to which Amazon Textract publishes the completion status of an asynchronous document operation.

pub fn set_notification_channel( self, input: Option<NotificationChannel> ) -> Self

The Amazon Simple Notification Service (Amazon SNS) topic to which Amazon Textract publishes the completion status of an asynchronous document operation.

pub fn get_notification_channel(&self) -> &Option<NotificationChannel>

The Amazon Simple Notification Service (Amazon SNS) topic to which Amazon Textract publishes the completion status of an asynchronous document operation.

pub fn output_config(self, input: OutputConfig) -> Self

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.

OutputConfig 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 OutputConfig 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 KMSKeyID 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.

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 Managing AI services opt-out policy.

For more information on data privacy, see the Data Privacy FAQ.

pub fn set_output_config(self, input: Option<OutputConfig>) -> Self

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.

OutputConfig 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 OutputConfig 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 KMSKeyID 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.

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 Managing AI services opt-out policy.

For more information on data privacy, see the Data Privacy FAQ.

pub fn get_output_config(&self) -> &Option<OutputConfig>

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.

OutputConfig 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 OutputConfig 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 KMSKeyID 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.

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 Managing AI services opt-out policy.

For more information on data privacy, see the Data Privacy FAQ.

pub fn kms_key_id(self, input: impl Into<String>) -> Self

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.

pub fn set_kms_key_id(self, input: Option<String>) -> Self

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.

pub fn get_kms_key_id(&self) -> &Option<String>

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.

Trait Implementations

impl Clone for StartLendingAnalysisFluentBuilder

fn clone(&self) -> StartLendingAnalysisFluentBuilder

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for StartLendingAnalysisFluentBuilder

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.