Struct google_api_proto::google::cloud::language::v1::language_service_client::LanguageServiceClient

pub struct LanguageServiceClient<T> { /* private fields */ }

Provides text analysis operations such as sentiment analysis and entity recognition.

Implementations

impl<T> LanguageServiceClient<T>

where T: GrpcService<BoxBody>, T::Error: Into<StdError>, T::ResponseBody: Body<Data = Bytes> + Send + 'static, <T::ResponseBody as Body>::Error: Into<StdError> + Send,

pub fn new(inner: T) -> Self

pub fn with_origin(inner: T, origin: Uri) -> Self

pub fn with_interceptor<F>( inner: T, interceptor: F, ) -> LanguageServiceClient<InterceptedService<T, F>>

where F: Interceptor, T::ResponseBody: Default, T: Service<Request<BoxBody>, Response = Response<<T as GrpcService<BoxBody>>::ResponseBody>>, <T as Service<Request<BoxBody>>>::Error: Into<StdError> + Send + Sync,

pub fn send_compressed(self, encoding: CompressionEncoding) -> Self

Compress requests with the given encoding.

This requires the server to support it otherwise it might respond with an error.

pub fn accept_compressed(self, encoding: CompressionEncoding) -> Self

Enable decompressing responses.

pub fn max_decoding_message_size(self, limit: usize) -> Self

Limits the maximum size of a decoded message.

Default: 4MB

pub fn max_encoding_message_size(self, limit: usize) -> Self

Limits the maximum size of an encoded message.

Default: usize::MAX

pub async fn analyze_sentiment( &mut self, request: impl IntoRequest<AnalyzeSentimentRequest>, ) -> Result<Response<AnalyzeSentimentResponse>, Status>

Analyzes the sentiment of the provided text.

pub async fn analyze_entities( &mut self, request: impl IntoRequest<AnalyzeEntitiesRequest>, ) -> Result<Response<AnalyzeEntitiesResponse>, Status>

Finds named entities (currently proper names and common nouns) in the text along with entity types, salience, mentions for each entity, and other properties.

pub async fn analyze_entity_sentiment( &mut self, request: impl IntoRequest<AnalyzeEntitySentimentRequest>, ) -> Result<Response<AnalyzeEntitySentimentResponse>, Status>

Finds entities, similar to [AnalyzeEntities][google.cloud.language.v1.LanguageService.AnalyzeEntities] in the text and analyzes sentiment associated with each entity and its mentions.

pub async fn analyze_syntax( &mut self, request: impl IntoRequest<AnalyzeSyntaxRequest>, ) -> Result<Response<AnalyzeSyntaxResponse>, Status>

Analyzes the syntax of the text and provides sentence boundaries and tokenization along with part of speech tags, dependency trees, and other properties.

pub async fn classify_text( &mut self, request: impl IntoRequest<ClassifyTextRequest>, ) -> Result<Response<ClassifyTextResponse>, Status>

Classifies a document into categories.

pub async fn moderate_text( &mut self, request: impl IntoRequest<ModerateTextRequest>, ) -> Result<Response<ModerateTextResponse>, Status>

Moderates a document for harmful and sensitive categories.

pub async fn annotate_text( &mut self, request: impl IntoRequest<AnnotateTextRequest>, ) -> Result<Response<AnnotateTextResponse>, Status>

A convenience method that provides all the features that analyzeSentiment, analyzeEntities, and analyzeSyntax provide in one call.

Trait Implementations

impl<T: Clone> Clone for LanguageServiceClient<T>

fn clone(&self) -> LanguageServiceClient<T>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<T: Debug> Debug for LanguageServiceClient<T>

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

Formats the value using the given formatter.