Class: Google::Cloud::Language::V1::LanguageServiceClient
- Inherits:
-
Object
- Object
- Google::Cloud::Language::V1::LanguageServiceClient
- Defined in:
- lib/google/cloud/language/v1/language_service_client.rb
Overview
Provides text analysis operations such as sentiment analysis and entity recognition.
Constant Summary collapse
- SERVICE_ADDRESS =
The default address of the service.
"language.googleapis.com".freeze
- DEFAULT_SERVICE_PORT =
The default port of the service.
443
- GRPC_INTERCEPTORS =
The default set of gRPC interceptors.
[]
- DEFAULT_TIMEOUT =
30
- ALL_SCOPES =
The scopes needed to make gRPC calls to all of the methods defined in this service.
[ "https://www.googleapis.com/auth/cloud-language", "https://www.googleapis.com/auth/cloud-platform" ].freeze
Instance Method Summary collapse
-
#analyze_entities(document, encoding_type: nil, options: nil) {|result, operation| ... } ⇒ Google::Cloud::Language::V1::AnalyzeEntitiesResponse
Finds named entities (currently proper names and common nouns) in the text along with entity types, salience, mentions for each entity, and other properties.
-
#analyze_entity_sentiment(document, encoding_type: nil, options: nil) {|result, operation| ... } ⇒ Google::Cloud::Language::V1::AnalyzeEntitySentimentResponse
Finds entities, similar to AnalyzeEntities in the text and analyzes sentiment associated with each entity and its mentions.
-
#analyze_sentiment(document, encoding_type: nil, options: nil) {|result, operation| ... } ⇒ Google::Cloud::Language::V1::AnalyzeSentimentResponse
Analyzes the sentiment of the provided text.
-
#analyze_syntax(document, encoding_type: nil, options: nil) {|result, operation| ... } ⇒ Google::Cloud::Language::V1::AnalyzeSyntaxResponse
Analyzes the syntax of the text and provides sentence boundaries and tokenization along with part of speech tags, dependency trees, and other properties.
-
#annotate_text(document, features, encoding_type: nil, options: nil) {|result, operation| ... } ⇒ Google::Cloud::Language::V1::AnnotateTextResponse
A convenience method that provides all the features that analyzeSentiment, analyzeEntities, and analyzeSyntax provide in one call.
-
#classify_text(document, options: nil) {|result, operation| ... } ⇒ Google::Cloud::Language::V1::ClassifyTextResponse
Classifies a document into categories.
-
#initialize(credentials: nil, scopes: ALL_SCOPES, client_config: {}, timeout: DEFAULT_TIMEOUT, metadata: nil, service_address: nil, service_port: nil, exception_transformer: nil, lib_name: nil, lib_version: "") ⇒ LanguageServiceClient
constructor
A new instance of LanguageServiceClient.
Constructor Details
#initialize(credentials: nil, scopes: ALL_SCOPES, client_config: {}, timeout: DEFAULT_TIMEOUT, metadata: nil, service_address: nil, service_port: nil, exception_transformer: nil, lib_name: nil, lib_version: "") ⇒ LanguageServiceClient
Returns a new instance of LanguageServiceClient.
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# File 'lib/google/cloud/language/v1/language_service_client.rb', line 97 def initialize \ credentials: nil, scopes: ALL_SCOPES, client_config: {}, timeout: DEFAULT_TIMEOUT, metadata: nil, service_address: nil, service_port: nil, exception_transformer: nil, lib_name: nil, lib_version: "" # These require statements are intentionally placed here to initialize # the gRPC module only when it's required. # See https://github.com/googleapis/toolkit/issues/446 require "google/gax/grpc" require "google/cloud/language/v1/language_service_services_pb" credentials ||= Google::Cloud::Language::V1::Credentials.default if credentials.is_a?(String) || credentials.is_a?(Hash) updater_proc = Google::Cloud::Language::V1::Credentials.new(credentials).updater_proc end if credentials.is_a?(GRPC::Core::Channel) channel = credentials end if credentials.is_a?(GRPC::Core::ChannelCredentials) chan_creds = credentials end if credentials.is_a?(Proc) updater_proc = credentials end if credentials.is_a?(Google::Auth::Credentials) updater_proc = credentials.updater_proc end package_version = Google::Cloud::Language::VERSION google_api_client = "gl-ruby/#{RUBY_VERSION}" google_api_client << " #{lib_name}/#{lib_version}" if lib_name google_api_client << " gapic/#{package_version} gax/#{Google::Gax::VERSION}" google_api_client << " grpc/#{GRPC::VERSION}" google_api_client.freeze headers = { :"x-goog-api-client" => google_api_client } headers.merge!() unless .nil? client_config_file = Pathname.new(__dir__).join( "language_service_client_config.json" ) defaults = client_config_file.open do |f| Google::Gax.construct_settings( "google.cloud.language.v1.LanguageService", JSON.parse(f.read), client_config, Google::Gax::Grpc::STATUS_CODE_NAMES, timeout, errors: Google::Gax::Grpc::API_ERRORS, metadata: headers ) end # Allow overriding the service path/port in subclasses. service_path = service_address || self.class::SERVICE_ADDRESS port = service_port || self.class::DEFAULT_SERVICE_PORT interceptors = self.class::GRPC_INTERCEPTORS @language_service_stub = Google::Gax::Grpc.create_stub( service_path, port, chan_creds: chan_creds, channel: channel, updater_proc: updater_proc, scopes: scopes, interceptors: interceptors, &Google::Cloud::Language::V1::LanguageService::Stub.method(:new) ) @analyze_sentiment = Google::Gax.create_api_call( @language_service_stub.method(:analyze_sentiment), defaults["analyze_sentiment"], exception_transformer: exception_transformer ) @analyze_entities = Google::Gax.create_api_call( @language_service_stub.method(:analyze_entities), defaults["analyze_entities"], exception_transformer: exception_transformer ) @analyze_entity_sentiment = Google::Gax.create_api_call( @language_service_stub.method(:analyze_entity_sentiment), defaults["analyze_entity_sentiment"], exception_transformer: exception_transformer ) @analyze_syntax = Google::Gax.create_api_call( @language_service_stub.method(:analyze_syntax), defaults["analyze_syntax"], exception_transformer: exception_transformer ) @classify_text = Google::Gax.create_api_call( @language_service_stub.method(:classify_text), defaults["classify_text"], exception_transformer: exception_transformer ) @annotate_text = Google::Gax.create_api_call( @language_service_stub.method(:annotate_text), defaults["annotate_text"], exception_transformer: exception_transformer ) end |
Instance Method Details
#analyze_entities(document, encoding_type: nil, options: nil) {|result, operation| ... } ⇒ Google::Cloud::Language::V1::AnalyzeEntitiesResponse
Finds named entities (currently proper names and common nouns) in the text along with entity types, salience, mentions for each entity, and other properties.
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# File 'lib/google/cloud/language/v1/language_service_client.rb', line 271 def analyze_entities \ document, encoding_type: nil, options: nil, &block req = { document: document, encoding_type: encoding_type }.delete_if { |_, v| v.nil? } req = Google::Gax::to_proto(req, Google::Cloud::Language::V1::AnalyzeEntitiesRequest) @analyze_entities.call(req, , &block) end |
#analyze_entity_sentiment(document, encoding_type: nil, options: nil) {|result, operation| ... } ⇒ Google::Cloud::Language::V1::AnalyzeEntitySentimentResponse
Finds entities, similar to AnalyzeEntities in the text and analyzes sentiment associated with each entity and its mentions.
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# File 'lib/google/cloud/language/v1/language_service_client.rb', line 310 def analyze_entity_sentiment \ document, encoding_type: nil, options: nil, &block req = { document: document, encoding_type: encoding_type }.delete_if { |_, v| v.nil? } req = Google::Gax::to_proto(req, Google::Cloud::Language::V1::AnalyzeEntitySentimentRequest) @analyze_entity_sentiment.call(req, , &block) end |
#analyze_sentiment(document, encoding_type: nil, options: nil) {|result, operation| ... } ⇒ Google::Cloud::Language::V1::AnalyzeSentimentResponse
Analyzes the sentiment of the provided text.
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# File 'lib/google/cloud/language/v1/language_service_client.rb', line 231 def analyze_sentiment \ document, encoding_type: nil, options: nil, &block req = { document: document, encoding_type: encoding_type }.delete_if { |_, v| v.nil? } req = Google::Gax::to_proto(req, Google::Cloud::Language::V1::AnalyzeSentimentRequest) @analyze_sentiment.call(req, , &block) end |
#analyze_syntax(document, encoding_type: nil, options: nil) {|result, operation| ... } ⇒ Google::Cloud::Language::V1::AnalyzeSyntaxResponse
Analyzes the syntax of the text and provides sentence boundaries and tokenization along with part of speech tags, dependency trees, and other properties.
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# File 'lib/google/cloud/language/v1/language_service_client.rb', line 350 def analyze_syntax \ document, encoding_type: nil, options: nil, &block req = { document: document, encoding_type: encoding_type }.delete_if { |_, v| v.nil? } req = Google::Gax::to_proto(req, Google::Cloud::Language::V1::AnalyzeSyntaxRequest) @analyze_syntax.call(req, , &block) end |
#annotate_text(document, features, encoding_type: nil, options: nil) {|result, operation| ... } ⇒ Google::Cloud::Language::V1::AnnotateTextResponse
A convenience method that provides all the features that analyzeSentiment, analyzeEntities, and analyzeSyntax provide in one call.
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# File 'lib/google/cloud/language/v1/language_service_client.rb', line 430 def annotate_text \ document, features, encoding_type: nil, options: nil, &block req = { document: document, features: features, encoding_type: encoding_type }.delete_if { |_, v| v.nil? } req = Google::Gax::to_proto(req, Google::Cloud::Language::V1::AnnotateTextRequest) @annotate_text.call(req, , &block) end |
#classify_text(document, options: nil) {|result, operation| ... } ⇒ Google::Cloud::Language::V1::ClassifyTextResponse
Classifies a document into categories.
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# File 'lib/google/cloud/language/v1/language_service_client.rb', line 386 def classify_text \ document, options: nil, &block req = { document: document }.delete_if { |_, v| v.nil? } req = Google::Gax::to_proto(req, Google::Cloud::Language::V1::ClassifyTextRequest) @classify_text.call(req, , &block) end |