pub struct StartExpenseAnalysis { /* private fields */ }
Expand description
Fluent builder constructing a request to StartExpenseAnalysis
.
Starts the asynchronous analysis of invoices or receipts for data like contact information, items purchased, and vendor names.
StartExpenseAnalysis
can analyze text in documents that are in JPEG, PNG, and PDF format. The documents must be stored in an Amazon S3 bucket. Use the DocumentLocation
parameter to specify the name of your S3 bucket and the name of the document in that bucket.
StartExpenseAnalysis
returns a job identifier (JobId
) that you will provide to GetExpenseAnalysis
to retrieve the results of the operation. When the analysis of the input invoices/receipts is finished, Amazon Textract publishes a completion status to the Amazon Simple Notification Service (Amazon SNS) topic that you provide to the NotificationChannel
. To obtain the results of the invoice and receipt analysis operation, ensure that the status value published to the Amazon SNS topic is SUCCEEDED
. If so, call GetExpenseAnalysis
, and pass the job identifier (JobId
) that was returned by your call to StartExpenseAnalysis
.
For more information, see Analyzing Invoices and Receipts.
Implementations§
source§impl StartExpenseAnalysis
impl StartExpenseAnalysis
sourcepub async fn customize(
self
) -> Result<CustomizableOperation<StartExpenseAnalysis, AwsResponseRetryClassifier>, SdkError<StartExpenseAnalysisError>>
pub async fn customize(
self
) -> Result<CustomizableOperation<StartExpenseAnalysis, AwsResponseRetryClassifier>, SdkError<StartExpenseAnalysisError>>
Consume this builder, creating a customizable operation that can be modified before being sent. The operation’s inner http::Request can be modified as well.
sourcepub async fn send(
self
) -> Result<StartExpenseAnalysisOutput, SdkError<StartExpenseAnalysisError>>
pub async fn send(
self
) -> Result<StartExpenseAnalysisOutput, SdkError<StartExpenseAnalysisError>>
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.
sourcepub fn document_location(self, input: DocumentLocation) -> Self
pub fn document_location(self, input: DocumentLocation) -> Self
The location of the document to be processed.
sourcepub fn set_document_location(self, input: Option<DocumentLocation>) -> Self
pub fn set_document_location(self, input: Option<DocumentLocation>) -> Self
The location of the document to be processed.
sourcepub fn client_request_token(self, input: impl Into<String>) -> Self
pub fn client_request_token(self, input: impl Into<String>) -> Self
The idempotent token that's used to identify the start request. If you use the same token with multiple StartDocumentTextDetection
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
sourcepub fn set_client_request_token(self, input: Option<String>) -> Self
pub fn set_client_request_token(self, input: Option<String>) -> Self
The idempotent token that's used to identify the start request. If you use the same token with multiple StartDocumentTextDetection
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
sourcepub fn job_tag(self, input: impl Into<String>) -> Self
pub fn job_tag(self, input: impl Into<String>) -> Self
An identifier you specify that's 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).
sourcepub fn set_job_tag(self, input: Option<String>) -> Self
pub fn set_job_tag(self, input: Option<String>) -> Self
An identifier you specify that's 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).
sourcepub fn notification_channel(self, input: NotificationChannel) -> Self
pub fn notification_channel(self, input: NotificationChannel) -> Self
The Amazon SNS topic ARN that you want Amazon Textract to publish the completion status of the operation to.
sourcepub fn set_notification_channel(self, input: Option<NotificationChannel>) -> Self
pub fn set_notification_channel(self, input: Option<NotificationChannel>) -> Self
The Amazon SNS topic ARN that you want Amazon Textract to publish the completion status of the operation to.
sourcepub fn output_config(self, input: OutputConfig) -> Self
pub fn output_config(self, input: OutputConfig) -> Self
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 GetExpenseAnalysis
operation.
sourcepub fn set_output_config(self, input: Option<OutputConfig>) -> Self
pub fn set_output_config(self, input: Option<OutputConfig>) -> Self
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 GetExpenseAnalysis
operation.
sourcepub fn kms_key_id(self, input: impl Into<String>) -> Self
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.
sourcepub fn set_kms_key_id(self, input: Option<String>) -> Self
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.
Trait Implementations§
source§impl Clone for StartExpenseAnalysis
impl Clone for StartExpenseAnalysis
source§fn clone(&self) -> StartExpenseAnalysis
fn clone(&self) -> StartExpenseAnalysis
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read more