pub struct DetectEntitiesFluentBuilder { /* private fields */ }Expand description
Fluent builder constructing a request to DetectEntities.
Detects named entities in input text when you use the pre-trained model. Detects custom entities if you have a custom entity recognition model.
When detecting named entities using the pre-trained model, use plain text as the input. For more information about named entities, see Entities in the Comprehend Developer Guide.
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).
If the system detects errors while processing a page in the input document, the API response includes an entry in Errors for each error.
If the system detects a document-level error in your input document, the API returns an InvalidRequestException error response. For details about this exception, see Errors in semi-structured documents in the Comprehend Developer Guide.
Implementations§
Source§impl DetectEntitiesFluentBuilder
impl DetectEntitiesFluentBuilder
Sourcepub fn as_input(&self) -> &DetectEntitiesInputBuilder
pub fn as_input(&self) -> &DetectEntitiesInputBuilder
Access the DetectEntities as a reference.
Sourcepub async fn send(
self,
) -> Result<DetectEntitiesOutput, SdkError<DetectEntitiesError, HttpResponse>>
pub async fn send( self, ) -> Result<DetectEntitiesOutput, SdkError<DetectEntitiesError, 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.
Sourcepub fn customize(
self,
) -> CustomizableOperation<DetectEntitiesOutput, DetectEntitiesError, Self>
pub fn customize( self, ) -> CustomizableOperation<DetectEntitiesOutput, DetectEntitiesError, Self>
Consumes this builder, creating a customizable operation that can be modified before being sent.
Sourcepub fn text(self, input: impl Into<String>) -> Self
pub fn text(self, input: impl Into<String>) -> Self
A UTF-8 text string. The maximum string size is 100 KB. If you enter text using this parameter, do not use the Bytes parameter.
Sourcepub fn set_text(self, input: Option<String>) -> Self
pub fn set_text(self, input: Option<String>) -> Self
A UTF-8 text string. The maximum string size is 100 KB. If you enter text using this parameter, do not use the Bytes parameter.
Sourcepub fn get_text(&self) -> &Option<String>
pub fn get_text(&self) -> &Option<String>
A UTF-8 text string. The maximum string size is 100 KB. If you enter text using this parameter, do not use the Bytes parameter.
Sourcepub fn language_code(self, input: LanguageCode) -> Self
pub fn language_code(self, input: LanguageCode) -> Self
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.
All input documents must be in the same language.
Sourcepub fn set_language_code(self, input: Option<LanguageCode>) -> Self
pub fn set_language_code(self, input: Option<LanguageCode>) -> Self
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.
All input documents must be in the same language.
Sourcepub fn get_language_code(&self) -> &Option<LanguageCode>
pub fn get_language_code(&self) -> &Option<LanguageCode>
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.
All input documents must be in the same language.
Sourcepub fn endpoint_arn(self, input: impl Into<String>) -> Self
pub fn endpoint_arn(self, input: impl Into<String>) -> Self
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.
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.
For information about endpoints, see Managing endpoints.
Sourcepub fn set_endpoint_arn(self, input: Option<String>) -> Self
pub fn set_endpoint_arn(self, input: Option<String>) -> Self
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.
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.
For information about endpoints, see Managing endpoints.
Sourcepub fn get_endpoint_arn(&self) -> &Option<String>
pub fn get_endpoint_arn(&self) -> &Option<String>
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.
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.
For information about endpoints, see Managing endpoints.
Sourcepub fn bytes(self, input: Blob) -> Self
pub fn bytes(self, input: Blob) -> Self
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 Text field.
Use the Bytes parameter to input a text, PDF, Word or image file. Using a plain-text file in the Bytes parameter is equivelent to using the Text parameter (the Entities field in the response is identical).
You can also use the Bytes parameter to input an Amazon Textract DetectDocumentText or AnalyzeDocument output file.
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.
The maximum length of this field depends on the input document type. For details, see Inputs for real-time custom analysis in the Comprehend Developer Guide.
If you use the Bytes parameter, do not use the Text parameter.
Sourcepub fn set_bytes(self, input: Option<Blob>) -> Self
pub fn set_bytes(self, input: Option<Blob>) -> Self
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 Text field.
Use the Bytes parameter to input a text, PDF, Word or image file. Using a plain-text file in the Bytes parameter is equivelent to using the Text parameter (the Entities field in the response is identical).
You can also use the Bytes parameter to input an Amazon Textract DetectDocumentText or AnalyzeDocument output file.
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.
The maximum length of this field depends on the input document type. For details, see Inputs for real-time custom analysis in the Comprehend Developer Guide.
If you use the Bytes parameter, do not use the Text parameter.
Sourcepub fn get_bytes(&self) -> &Option<Blob>
pub fn get_bytes(&self) -> &Option<Blob>
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 Text field.
Use the Bytes parameter to input a text, PDF, Word or image file. Using a plain-text file in the Bytes parameter is equivelent to using the Text parameter (the Entities field in the response is identical).
You can also use the Bytes parameter to input an Amazon Textract DetectDocumentText or AnalyzeDocument output file.
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.
The maximum length of this field depends on the input document type. For details, see Inputs for real-time custom analysis in the Comprehend Developer Guide.
If you use the Bytes parameter, do not use the Text parameter.
Sourcepub fn document_reader_config(self, input: DocumentReaderConfig) -> Self
pub fn document_reader_config(self, input: DocumentReaderConfig) -> Self
Provides configuration parameters to override the default actions for extracting text from PDF documents and image files.
Sourcepub fn set_document_reader_config(
self,
input: Option<DocumentReaderConfig>,
) -> Self
pub fn set_document_reader_config( self, input: Option<DocumentReaderConfig>, ) -> Self
Provides configuration parameters to override the default actions for extracting text from PDF documents and image files.
Sourcepub fn get_document_reader_config(&self) -> &Option<DocumentReaderConfig>
pub fn get_document_reader_config(&self) -> &Option<DocumentReaderConfig>
Provides configuration parameters to override the default actions for extracting text from PDF documents and image files.
Trait Implementations§
Source§impl Clone for DetectEntitiesFluentBuilder
impl Clone for DetectEntitiesFluentBuilder
Source§fn clone(&self) -> DetectEntitiesFluentBuilder
fn clone(&self) -> DetectEntitiesFluentBuilder
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source. Read moreAuto Trait Implementations§
impl Freeze for DetectEntitiesFluentBuilder
impl !RefUnwindSafe for DetectEntitiesFluentBuilder
impl Send for DetectEntitiesFluentBuilder
impl Sync for DetectEntitiesFluentBuilder
impl Unpin for DetectEntitiesFluentBuilder
impl !UnwindSafe for DetectEntitiesFluentBuilder
Blanket Implementations§
Source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
Source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Source§impl<T> CloneToUninit for Twhere
T: Clone,
impl<T> CloneToUninit for Twhere
T: Clone,
Source§impl<T> Instrument for T
impl<T> Instrument for T
Source§fn instrument(self, span: Span) -> Instrumented<Self>
fn instrument(self, span: Span) -> Instrumented<Self>
Source§fn in_current_span(self) -> Instrumented<Self>
fn in_current_span(self) -> Instrumented<Self>
Source§impl<T> IntoEither for T
impl<T> IntoEither for T
Source§fn into_either(self, into_left: bool) -> Either<Self, Self>
fn into_either(self, into_left: bool) -> Either<Self, Self>
self into a Left variant of Either<Self, Self>
if into_left is true.
Converts self into a Right variant of Either<Self, Self>
otherwise. Read moreSource§fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
self into a Left variant of Either<Self, Self>
if into_left(&self) returns true.
Converts self into a Right variant of Either<Self, Self>
otherwise. Read moreSource§impl<T> Paint for Twhere
T: ?Sized,
impl<T> Paint for Twhere
T: ?Sized,
Source§fn fg(&self, value: Color) -> Painted<&T>
fn fg(&self, value: Color) -> Painted<&T>
Returns a styled value derived from self with the foreground set to
value.
This method should be used rarely. Instead, prefer to use color-specific
builder methods like red() and
green(), which have the same functionality but are
pithier.
§Example
Set foreground color to white using fg():
use yansi::{Paint, Color};
painted.fg(Color::White);Set foreground color to white using white().
use yansi::Paint;
painted.white();Source§fn bright_black(&self) -> Painted<&T>
fn bright_black(&self) -> Painted<&T>
Source§fn bright_red(&self) -> Painted<&T>
fn bright_red(&self) -> Painted<&T>
Source§fn bright_green(&self) -> Painted<&T>
fn bright_green(&self) -> Painted<&T>
Source§fn bright_yellow(&self) -> Painted<&T>
fn bright_yellow(&self) -> Painted<&T>
Source§fn bright_blue(&self) -> Painted<&T>
fn bright_blue(&self) -> Painted<&T>
Source§fn bright_magenta(&self) -> Painted<&T>
fn bright_magenta(&self) -> Painted<&T>
Source§fn bright_cyan(&self) -> Painted<&T>
fn bright_cyan(&self) -> Painted<&T>
Source§fn bright_white(&self) -> Painted<&T>
fn bright_white(&self) -> Painted<&T>
Source§fn bg(&self, value: Color) -> Painted<&T>
fn bg(&self, value: Color) -> Painted<&T>
Returns a styled value derived from self with the background set to
value.
This method should be used rarely. Instead, prefer to use color-specific
builder methods like on_red() and
on_green(), which have the same functionality but
are pithier.
§Example
Set background color to red using fg():
use yansi::{Paint, Color};
painted.bg(Color::Red);Set background color to red using on_red().
use yansi::Paint;
painted.on_red();Source§fn on_primary(&self) -> Painted<&T>
fn on_primary(&self) -> Painted<&T>
Source§fn on_magenta(&self) -> Painted<&T>
fn on_magenta(&self) -> Painted<&T>
Source§fn on_bright_black(&self) -> Painted<&T>
fn on_bright_black(&self) -> Painted<&T>
Source§fn on_bright_red(&self) -> Painted<&T>
fn on_bright_red(&self) -> Painted<&T>
Source§fn on_bright_green(&self) -> Painted<&T>
fn on_bright_green(&self) -> Painted<&T>
Source§fn on_bright_yellow(&self) -> Painted<&T>
fn on_bright_yellow(&self) -> Painted<&T>
Source§fn on_bright_blue(&self) -> Painted<&T>
fn on_bright_blue(&self) -> Painted<&T>
Source§fn on_bright_magenta(&self) -> Painted<&T>
fn on_bright_magenta(&self) -> Painted<&T>
Source§fn on_bright_cyan(&self) -> Painted<&T>
fn on_bright_cyan(&self) -> Painted<&T>
Source§fn on_bright_white(&self) -> Painted<&T>
fn on_bright_white(&self) -> Painted<&T>
Source§fn attr(&self, value: Attribute) -> Painted<&T>
fn attr(&self, value: Attribute) -> Painted<&T>
Enables the styling Attribute value.
This method should be used rarely. Instead, prefer to use
attribute-specific builder methods like bold() and
underline(), which have the same functionality
but are pithier.
§Example
Make text bold using attr():
use yansi::{Paint, Attribute};
painted.attr(Attribute::Bold);Make text bold using using bold().
use yansi::Paint;
painted.bold();Source§fn rapid_blink(&self) -> Painted<&T>
fn rapid_blink(&self) -> Painted<&T>
Source§fn quirk(&self, value: Quirk) -> Painted<&T>
fn quirk(&self, value: Quirk) -> Painted<&T>
Enables the yansi Quirk value.
This method should be used rarely. Instead, prefer to use quirk-specific
builder methods like mask() and
wrap(), which have the same functionality but are
pithier.
§Example
Enable wrapping using .quirk():
use yansi::{Paint, Quirk};
painted.quirk(Quirk::Wrap);Enable wrapping using wrap().
use yansi::Paint;
painted.wrap();Source§fn clear(&self) -> Painted<&T>
👎Deprecated since 1.0.1: renamed to resetting() due to conflicts with Vec::clear().
The clear() method will be removed in a future release.
fn clear(&self) -> Painted<&T>
resetting() due to conflicts with Vec::clear().
The clear() method will be removed in a future release.Source§fn whenever(&self, value: Condition) -> Painted<&T>
fn whenever(&self, value: Condition) -> Painted<&T>
Conditionally enable styling based on whether the Condition value
applies. Replaces any previous condition.
See the crate level docs for more details.
§Example
Enable styling painted only when both stdout and stderr are TTYs:
use yansi::{Paint, Condition};
painted.red().on_yellow().whenever(Condition::STDOUTERR_ARE_TTY);