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// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::detect_entities::_detect_entities_input::DetectEntitiesInputBuilder;
pub use crate::operation::detect_entities::_detect_entities_output::DetectEntitiesOutputBuilder;
impl crate::operation::detect_entities::builders::DetectEntitiesInputBuilder {
/// Sends a request with this input using the given client.
pub async fn send_with(
self,
client: &crate::Client,
) -> ::std::result::Result<
crate::operation::detect_entities::DetectEntitiesOutput,
::aws_smithy_runtime_api::client::result::SdkError<
crate::operation::detect_entities::DetectEntitiesError,
::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
>,
> {
let mut fluent_builder = client.detect_entities();
fluent_builder.inner = self;
fluent_builder.send().await
}
}
/// Fluent builder constructing a request to `DetectEntities`.
///
/// <p>Detects named entities in input text when you use the pre-trained model. Detects custom entities if you have a custom entity recognition model.</p>
/// <p>When detecting named entities using the pre-trained model, use plain text as the input. For more information about named entities, see <a href="https://docs.aws.amazon.com/comprehend/latest/dg/how-entities.html">Entities</a> in the Comprehend Developer Guide.</p>
/// <p>When you use a custom entity recognition model, you can input plain text or you can upload a single-page input document (text, PDF, Word, or image).</p>
/// <p>If the system detects errors while processing a page in the input document, the API response includes an entry in <code>Errors</code> for each error.</p>
/// <p>If the system detects a document-level error in your input document, the API returns an <code>InvalidRequestException</code> error response. For details about this exception, see <a href="https://docs.aws.amazon.com/comprehend/latest/dg/idp-inputs-sync-err.html"> Errors in semi-structured documents</a> in the Comprehend Developer Guide.</p>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct DetectEntitiesFluentBuilder {
handle: ::std::sync::Arc<crate::client::Handle>,
inner: crate::operation::detect_entities::builders::DetectEntitiesInputBuilder,
config_override: ::std::option::Option<crate::config::Builder>,
}
impl
crate::client::customize::internal::CustomizableSend<
crate::operation::detect_entities::DetectEntitiesOutput,
crate::operation::detect_entities::DetectEntitiesError,
> for DetectEntitiesFluentBuilder
{
fn send(
self,
config_override: crate::config::Builder,
) -> crate::client::customize::internal::BoxFuture<
crate::client::customize::internal::SendResult<
crate::operation::detect_entities::DetectEntitiesOutput,
crate::operation::detect_entities::DetectEntitiesError,
>,
> {
::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
}
}
impl DetectEntitiesFluentBuilder {
/// Creates a new `DetectEntitiesFluentBuilder`.
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 DetectEntities as a reference.
pub fn as_input(&self) -> &crate::operation::detect_entities::builders::DetectEntitiesInputBuilder {
&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::detect_entities::DetectEntitiesOutput,
::aws_smithy_runtime_api::client::result::SdkError<
crate::operation::detect_entities::DetectEntitiesError,
::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::detect_entities::DetectEntities::operation_runtime_plugins(
self.handle.runtime_plugins.clone(),
&self.handle.conf,
self.config_override,
);
crate::operation::detect_entities::DetectEntities::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::detect_entities::DetectEntitiesOutput,
crate::operation::detect_entities::DetectEntitiesError,
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>A UTF-8 text string. The maximum string size is 100 KB. If you enter text using this parameter, do not use the <code>Bytes</code> parameter.</p>
pub fn text(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.text(input.into());
self
}
/// <p>A UTF-8 text string. The maximum string size is 100 KB. If you enter text using this parameter, do not use the <code>Bytes</code> parameter.</p>
pub fn set_text(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_text(input);
self
}
/// <p>A UTF-8 text string. The maximum string size is 100 KB. If you enter text using this parameter, do not use the <code>Bytes</code> parameter.</p>
pub fn get_text(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_text()
}
/// <p>The language of the input documents. You can specify any of the primary languages supported by Amazon Comprehend. If your request includes the endpoint for a custom entity recognition model, Amazon Comprehend uses the language of your custom model, and it ignores any language code that you specify here.</p>
/// <p>All input documents must be in the same language.</p>
pub fn language_code(mut self, input: crate::types::LanguageCode) -> Self {
self.inner = self.inner.language_code(input);
self
}
/// <p>The language of the input documents. You can specify any of the primary languages supported by Amazon Comprehend. If your request includes the endpoint for a custom entity recognition model, Amazon Comprehend uses the language of your custom model, and it ignores any language code that you specify here.</p>
/// <p>All input documents must be in the same language.</p>
pub fn set_language_code(mut self, input: ::std::option::Option<crate::types::LanguageCode>) -> Self {
self.inner = self.inner.set_language_code(input);
self
}
/// <p>The language of the input documents. You can specify any of the primary languages supported by Amazon Comprehend. If your request includes the endpoint for a custom entity recognition model, Amazon Comprehend uses the language of your custom model, and it ignores any language code that you specify here.</p>
/// <p>All input documents must be in the same language.</p>
pub fn get_language_code(&self) -> &::std::option::Option<crate::types::LanguageCode> {
self.inner.get_language_code()
}
/// <p>The Amazon Resource Name of an endpoint that is associated with a custom entity recognition model. Provide an endpoint if you want to detect entities by using your own custom model instead of the default model that is used by Amazon Comprehend.</p>
/// <p>If you specify an endpoint, Amazon Comprehend uses the language of your custom model, and it ignores any language code that you provide in your request.</p>
/// <p>For information about endpoints, see <a href="https://docs.aws.amazon.com/comprehend/latest/dg/manage-endpoints.html">Managing endpoints</a>.</p>
pub fn endpoint_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.endpoint_arn(input.into());
self
}
/// <p>The Amazon Resource Name of an endpoint that is associated with a custom entity recognition model. Provide an endpoint if you want to detect entities by using your own custom model instead of the default model that is used by Amazon Comprehend.</p>
/// <p>If you specify an endpoint, Amazon Comprehend uses the language of your custom model, and it ignores any language code that you provide in your request.</p>
/// <p>For information about endpoints, see <a href="https://docs.aws.amazon.com/comprehend/latest/dg/manage-endpoints.html">Managing endpoints</a>.</p>
pub fn set_endpoint_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_endpoint_arn(input);
self
}
/// <p>The Amazon Resource Name of an endpoint that is associated with a custom entity recognition model. Provide an endpoint if you want to detect entities by using your own custom model instead of the default model that is used by Amazon Comprehend.</p>
/// <p>If you specify an endpoint, Amazon Comprehend uses the language of your custom model, and it ignores any language code that you provide in your request.</p>
/// <p>For information about endpoints, see <a href="https://docs.aws.amazon.com/comprehend/latest/dg/manage-endpoints.html">Managing endpoints</a>.</p>
pub fn get_endpoint_arn(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_endpoint_arn()
}
/// <p>This field applies only when you use a custom entity recognition model that was trained with PDF annotations. For other cases, enter your text input in the <code>Text</code> field.</p>
/// <p>Use the <code>Bytes</code> parameter to input a text, PDF, Word or image file. Using a plain-text file in the <code>Bytes</code> parameter is equivelent to using the <code>Text</code> parameter (the <code>Entities</code> field in the response is identical).</p>
/// <p>You can also use the <code>Bytes</code> parameter to input an Amazon Textract <code>DetectDocumentText</code> or <code>AnalyzeDocument</code> output file.</p>
/// <p>Provide the input document as a sequence of base64-encoded bytes. If your code uses an Amazon Web Services SDK to detect entities, the SDK may encode the document file bytes for you.</p>
/// <p>The maximum length of this field depends on the input document type. For details, see <a href="https://docs.aws.amazon.com/comprehend/latest/dg/idp-inputs-sync.html"> Inputs for real-time custom analysis</a> in the Comprehend Developer Guide.</p>
/// <p>If you use the <code>Bytes</code> parameter, do not use the <code>Text</code> parameter.</p>
pub fn bytes(mut self, input: ::aws_smithy_types::Blob) -> Self {
self.inner = self.inner.bytes(input);
self
}
/// <p>This field applies only when you use a custom entity recognition model that was trained with PDF annotations. For other cases, enter your text input in the <code>Text</code> field.</p>
/// <p>Use the <code>Bytes</code> parameter to input a text, PDF, Word or image file. Using a plain-text file in the <code>Bytes</code> parameter is equivelent to using the <code>Text</code> parameter (the <code>Entities</code> field in the response is identical).</p>
/// <p>You can also use the <code>Bytes</code> parameter to input an Amazon Textract <code>DetectDocumentText</code> or <code>AnalyzeDocument</code> output file.</p>
/// <p>Provide the input document as a sequence of base64-encoded bytes. If your code uses an Amazon Web Services SDK to detect entities, the SDK may encode the document file bytes for you.</p>
/// <p>The maximum length of this field depends on the input document type. For details, see <a href="https://docs.aws.amazon.com/comprehend/latest/dg/idp-inputs-sync.html"> Inputs for real-time custom analysis</a> in the Comprehend Developer Guide.</p>
/// <p>If you use the <code>Bytes</code> parameter, do not use the <code>Text</code> parameter.</p>
pub fn set_bytes(mut self, input: ::std::option::Option<::aws_smithy_types::Blob>) -> Self {
self.inner = self.inner.set_bytes(input);
self
}
/// <p>This field applies only when you use a custom entity recognition model that was trained with PDF annotations. For other cases, enter your text input in the <code>Text</code> field.</p>
/// <p>Use the <code>Bytes</code> parameter to input a text, PDF, Word or image file. Using a plain-text file in the <code>Bytes</code> parameter is equivelent to using the <code>Text</code> parameter (the <code>Entities</code> field in the response is identical).</p>
/// <p>You can also use the <code>Bytes</code> parameter to input an Amazon Textract <code>DetectDocumentText</code> or <code>AnalyzeDocument</code> output file.</p>
/// <p>Provide the input document as a sequence of base64-encoded bytes. If your code uses an Amazon Web Services SDK to detect entities, the SDK may encode the document file bytes for you.</p>
/// <p>The maximum length of this field depends on the input document type. For details, see <a href="https://docs.aws.amazon.com/comprehend/latest/dg/idp-inputs-sync.html"> Inputs for real-time custom analysis</a> in the Comprehend Developer Guide.</p>
/// <p>If you use the <code>Bytes</code> parameter, do not use the <code>Text</code> parameter.</p>
pub fn get_bytes(&self) -> &::std::option::Option<::aws_smithy_types::Blob> {
self.inner.get_bytes()
}
/// <p>Provides configuration parameters to override the default actions for extracting text from PDF documents and image files.</p>
pub fn document_reader_config(mut self, input: crate::types::DocumentReaderConfig) -> Self {
self.inner = self.inner.document_reader_config(input);
self
}
/// <p>Provides configuration parameters to override the default actions for extracting text from PDF documents and image files.</p>
pub fn set_document_reader_config(mut self, input: ::std::option::Option<crate::types::DocumentReaderConfig>) -> Self {
self.inner = self.inner.set_document_reader_config(input);
self
}
/// <p>Provides configuration parameters to override the default actions for extracting text from PDF documents and image files.</p>
pub fn get_document_reader_config(&self) -> &::std::option::Option<crate::types::DocumentReaderConfig> {
self.inner.get_document_reader_config()
}
}