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com.google.cloud.language.v1.LanguageServiceClient Maven / Gradle / Ivy

/*
 * Copyright 2023 Google LLC
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *      https://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.cloud.language.v1;

import com.google.api.gax.core.BackgroundResource;
import com.google.api.gax.rpc.UnaryCallable;
import com.google.cloud.language.v1.stub.LanguageServiceStub;
import com.google.cloud.language.v1.stub.LanguageServiceStubSettings;
import java.io.IOException;
import java.util.concurrent.TimeUnit;
import javax.annotation.Generated;

// AUTO-GENERATED DOCUMENTATION AND CLASS.
/**
 * Service Description: Provides text analysis operations such as sentiment analysis and entity
 * recognition.
 *
 * 

This class provides the ability to make remote calls to the backing service through method * calls that map to API methods. Sample code to get started: * *

{@code
 * // This snippet has been automatically generated and should be regarded as a code template only.
 * // It will require modifications to work:
 * // - It may require correct/in-range values for request initialization.
 * // - It may require specifying regional endpoints when creating the service client as shown in
 * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 * try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
 *   Document document = Document.newBuilder().build();
 *   AnalyzeSentimentResponse response = languageServiceClient.analyzeSentiment(document);
 * }
 * }
* *

Note: close() needs to be called on the LanguageServiceClient object to clean up resources * such as threads. In the example above, try-with-resources is used, which automatically calls * close(). * *

The surface of this class includes several types of Java methods for each of the API's * methods: * *

    *
  1. A "flattened" method. With this type of method, the fields of the request type have been * converted into function parameters. It may be the case that not all fields are available as * parameters, and not every API method will have a flattened method entry point. *
  2. A "request object" method. This type of method only takes one parameter, a request object, * which must be constructed before the call. Not every API method will have a request object * method. *
  3. A "callable" method. This type of method takes no parameters and returns an immutable API * callable object, which can be used to initiate calls to the service. *
* *

See the individual methods for example code. * *

Many parameters require resource names to be formatted in a particular way. To assist with * these names, this class includes a format method for each type of name, and additionally a parse * method to extract the individual identifiers contained within names that are returned. * *

This class can be customized by passing in a custom instance of LanguageServiceSettings to * create(). For example: * *

To customize credentials: * *

{@code
 * // This snippet has been automatically generated and should be regarded as a code template only.
 * // It will require modifications to work:
 * // - It may require correct/in-range values for request initialization.
 * // - It may require specifying regional endpoints when creating the service client as shown in
 * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 * LanguageServiceSettings languageServiceSettings =
 *     LanguageServiceSettings.newBuilder()
 *         .setCredentialsProvider(FixedCredentialsProvider.create(myCredentials))
 *         .build();
 * LanguageServiceClient languageServiceClient =
 *     LanguageServiceClient.create(languageServiceSettings);
 * }
* *

To customize the endpoint: * *

{@code
 * // This snippet has been automatically generated and should be regarded as a code template only.
 * // It will require modifications to work:
 * // - It may require correct/in-range values for request initialization.
 * // - It may require specifying regional endpoints when creating the service client as shown in
 * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 * LanguageServiceSettings languageServiceSettings =
 *     LanguageServiceSettings.newBuilder().setEndpoint(myEndpoint).build();
 * LanguageServiceClient languageServiceClient =
 *     LanguageServiceClient.create(languageServiceSettings);
 * }
* *

To use REST (HTTP1.1/JSON) transport (instead of gRPC) for sending and receiving requests over * the wire: * *

{@code
 * // This snippet has been automatically generated and should be regarded as a code template only.
 * // It will require modifications to work:
 * // - It may require correct/in-range values for request initialization.
 * // - It may require specifying regional endpoints when creating the service client as shown in
 * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 * LanguageServiceSettings languageServiceSettings =
 *     LanguageServiceSettings.newHttpJsonBuilder().build();
 * LanguageServiceClient languageServiceClient =
 *     LanguageServiceClient.create(languageServiceSettings);
 * }
* *

Please refer to the GitHub repository's samples for more quickstart code snippets. */ @Generated("by gapic-generator-java") public class LanguageServiceClient implements BackgroundResource { private final LanguageServiceSettings settings; private final LanguageServiceStub stub; /** Constructs an instance of LanguageServiceClient with default settings. */ public static final LanguageServiceClient create() throws IOException { return create(LanguageServiceSettings.newBuilder().build()); } /** * Constructs an instance of LanguageServiceClient, using the given settings. The channels are * created based on the settings passed in, or defaults for any settings that are not set. */ public static final LanguageServiceClient create(LanguageServiceSettings settings) throws IOException { return new LanguageServiceClient(settings); } /** * Constructs an instance of LanguageServiceClient, using the given stub for making calls. This is * for advanced usage - prefer using create(LanguageServiceSettings). */ public static final LanguageServiceClient create(LanguageServiceStub stub) { return new LanguageServiceClient(stub); } /** * Constructs an instance of LanguageServiceClient, using the given settings. This is protected so * that it is easy to make a subclass, but otherwise, the static factory methods should be * preferred. */ protected LanguageServiceClient(LanguageServiceSettings settings) throws IOException { this.settings = settings; this.stub = ((LanguageServiceStubSettings) settings.getStubSettings()).createStub(); } protected LanguageServiceClient(LanguageServiceStub stub) { this.settings = null; this.stub = stub; } public final LanguageServiceSettings getSettings() { return settings; } public LanguageServiceStub getStub() { return stub; } // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Analyzes the sentiment of the provided text. * *

Sample code: * *

{@code
   * // This snippet has been automatically generated and should be regarded as a code template only.
   * // It will require modifications to work:
   * // - It may require correct/in-range values for request initialization.
   * // - It may require specifying regional endpoints when creating the service client as shown in
   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
   * try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   *   Document document = Document.newBuilder().build();
   *   AnalyzeSentimentResponse response = languageServiceClient.analyzeSentiment(document);
   * }
   * }
* * @param document Required. Input document. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final AnalyzeSentimentResponse analyzeSentiment(Document document) { AnalyzeSentimentRequest request = AnalyzeSentimentRequest.newBuilder().setDocument(document).build(); return analyzeSentiment(request); } // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Analyzes the sentiment of the provided text. * *

Sample code: * *

{@code
   * // This snippet has been automatically generated and should be regarded as a code template only.
   * // It will require modifications to work:
   * // - It may require correct/in-range values for request initialization.
   * // - It may require specifying regional endpoints when creating the service client as shown in
   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
   * try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   *   Document document = Document.newBuilder().build();
   *   EncodingType encodingType = EncodingType.forNumber(0);
   *   AnalyzeSentimentResponse response =
   *       languageServiceClient.analyzeSentiment(document, encodingType);
   * }
   * }
* * @param document Required. Input document. * @param encodingType The encoding type used by the API to calculate sentence offsets. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final AnalyzeSentimentResponse analyzeSentiment( Document document, EncodingType encodingType) { AnalyzeSentimentRequest request = AnalyzeSentimentRequest.newBuilder() .setDocument(document) .setEncodingType(encodingType) .build(); return analyzeSentiment(request); } // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Analyzes the sentiment of the provided text. * *

Sample code: * *

{@code
   * // This snippet has been automatically generated and should be regarded as a code template only.
   * // It will require modifications to work:
   * // - It may require correct/in-range values for request initialization.
   * // - It may require specifying regional endpoints when creating the service client as shown in
   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
   * try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   *   AnalyzeSentimentRequest request =
   *       AnalyzeSentimentRequest.newBuilder()
   *           .setDocument(Document.newBuilder().build())
   *           .setEncodingType(EncodingType.forNumber(0))
   *           .build();
   *   AnalyzeSentimentResponse response = languageServiceClient.analyzeSentiment(request);
   * }
   * }
* * @param request The request object containing all of the parameters for the API call. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final AnalyzeSentimentResponse analyzeSentiment(AnalyzeSentimentRequest request) { return analyzeSentimentCallable().call(request); } // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Analyzes the sentiment of the provided text. * *

Sample code: * *

{@code
   * // This snippet has been automatically generated and should be regarded as a code template only.
   * // It will require modifications to work:
   * // - It may require correct/in-range values for request initialization.
   * // - It may require specifying regional endpoints when creating the service client as shown in
   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
   * try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   *   AnalyzeSentimentRequest request =
   *       AnalyzeSentimentRequest.newBuilder()
   *           .setDocument(Document.newBuilder().build())
   *           .setEncodingType(EncodingType.forNumber(0))
   *           .build();
   *   ApiFuture future =
   *       languageServiceClient.analyzeSentimentCallable().futureCall(request);
   *   // Do something.
   *   AnalyzeSentimentResponse response = future.get();
   * }
   * }
*/ public final UnaryCallable analyzeSentimentCallable() { return stub.analyzeSentimentCallable(); } // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Finds named entities (currently proper names and common nouns) in the text along with entity * types, salience, mentions for each entity, and other properties. * *

Sample code: * *

{@code
   * // This snippet has been automatically generated and should be regarded as a code template only.
   * // It will require modifications to work:
   * // - It may require correct/in-range values for request initialization.
   * // - It may require specifying regional endpoints when creating the service client as shown in
   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
   * try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   *   Document document = Document.newBuilder().build();
   *   AnalyzeEntitiesResponse response = languageServiceClient.analyzeEntities(document);
   * }
   * }
* * @param document Required. Input document. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final AnalyzeEntitiesResponse analyzeEntities(Document document) { AnalyzeEntitiesRequest request = AnalyzeEntitiesRequest.newBuilder().setDocument(document).build(); return analyzeEntities(request); } // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Finds named entities (currently proper names and common nouns) in the text along with entity * types, salience, mentions for each entity, and other properties. * *

Sample code: * *

{@code
   * // This snippet has been automatically generated and should be regarded as a code template only.
   * // It will require modifications to work:
   * // - It may require correct/in-range values for request initialization.
   * // - It may require specifying regional endpoints when creating the service client as shown in
   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
   * try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   *   Document document = Document.newBuilder().build();
   *   EncodingType encodingType = EncodingType.forNumber(0);
   *   AnalyzeEntitiesResponse response =
   *       languageServiceClient.analyzeEntities(document, encodingType);
   * }
   * }
* * @param document Required. Input document. * @param encodingType The encoding type used by the API to calculate offsets. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final AnalyzeEntitiesResponse analyzeEntities( Document document, EncodingType encodingType) { AnalyzeEntitiesRequest request = AnalyzeEntitiesRequest.newBuilder() .setDocument(document) .setEncodingType(encodingType) .build(); return analyzeEntities(request); } // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Finds named entities (currently proper names and common nouns) in the text along with entity * types, salience, mentions for each entity, and other properties. * *

Sample code: * *

{@code
   * // This snippet has been automatically generated and should be regarded as a code template only.
   * // It will require modifications to work:
   * // - It may require correct/in-range values for request initialization.
   * // - It may require specifying regional endpoints when creating the service client as shown in
   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
   * try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   *   AnalyzeEntitiesRequest request =
   *       AnalyzeEntitiesRequest.newBuilder()
   *           .setDocument(Document.newBuilder().build())
   *           .setEncodingType(EncodingType.forNumber(0))
   *           .build();
   *   AnalyzeEntitiesResponse response = languageServiceClient.analyzeEntities(request);
   * }
   * }
* * @param request The request object containing all of the parameters for the API call. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final AnalyzeEntitiesResponse analyzeEntities(AnalyzeEntitiesRequest request) { return analyzeEntitiesCallable().call(request); } // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Finds named entities (currently proper names and common nouns) in the text along with entity * types, salience, mentions for each entity, and other properties. * *

Sample code: * *

{@code
   * // This snippet has been automatically generated and should be regarded as a code template only.
   * // It will require modifications to work:
   * // - It may require correct/in-range values for request initialization.
   * // - It may require specifying regional endpoints when creating the service client as shown in
   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
   * try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   *   AnalyzeEntitiesRequest request =
   *       AnalyzeEntitiesRequest.newBuilder()
   *           .setDocument(Document.newBuilder().build())
   *           .setEncodingType(EncodingType.forNumber(0))
   *           .build();
   *   ApiFuture future =
   *       languageServiceClient.analyzeEntitiesCallable().futureCall(request);
   *   // Do something.
   *   AnalyzeEntitiesResponse response = future.get();
   * }
   * }
*/ public final UnaryCallable analyzeEntitiesCallable() { return stub.analyzeEntitiesCallable(); } // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Finds entities, similar to * [AnalyzeEntities][google.cloud.language.v1.LanguageService.AnalyzeEntities] in the text and * analyzes sentiment associated with each entity and its mentions. * *

Sample code: * *

{@code
   * // This snippet has been automatically generated and should be regarded as a code template only.
   * // It will require modifications to work:
   * // - It may require correct/in-range values for request initialization.
   * // - It may require specifying regional endpoints when creating the service client as shown in
   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
   * try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   *   Document document = Document.newBuilder().build();
   *   AnalyzeEntitySentimentResponse response =
   *       languageServiceClient.analyzeEntitySentiment(document);
   * }
   * }
* * @param document Required. Input document. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final AnalyzeEntitySentimentResponse analyzeEntitySentiment(Document document) { AnalyzeEntitySentimentRequest request = AnalyzeEntitySentimentRequest.newBuilder().setDocument(document).build(); return analyzeEntitySentiment(request); } // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Finds entities, similar to * [AnalyzeEntities][google.cloud.language.v1.LanguageService.AnalyzeEntities] in the text and * analyzes sentiment associated with each entity and its mentions. * *

Sample code: * *

{@code
   * // This snippet has been automatically generated and should be regarded as a code template only.
   * // It will require modifications to work:
   * // - It may require correct/in-range values for request initialization.
   * // - It may require specifying regional endpoints when creating the service client as shown in
   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
   * try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   *   Document document = Document.newBuilder().build();
   *   EncodingType encodingType = EncodingType.forNumber(0);
   *   AnalyzeEntitySentimentResponse response =
   *       languageServiceClient.analyzeEntitySentiment(document, encodingType);
   * }
   * }
* * @param document Required. Input document. * @param encodingType The encoding type used by the API to calculate offsets. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final AnalyzeEntitySentimentResponse analyzeEntitySentiment( Document document, EncodingType encodingType) { AnalyzeEntitySentimentRequest request = AnalyzeEntitySentimentRequest.newBuilder() .setDocument(document) .setEncodingType(encodingType) .build(); return analyzeEntitySentiment(request); } // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Finds entities, similar to * [AnalyzeEntities][google.cloud.language.v1.LanguageService.AnalyzeEntities] in the text and * analyzes sentiment associated with each entity and its mentions. * *

Sample code: * *

{@code
   * // This snippet has been automatically generated and should be regarded as a code template only.
   * // It will require modifications to work:
   * // - It may require correct/in-range values for request initialization.
   * // - It may require specifying regional endpoints when creating the service client as shown in
   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
   * try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   *   AnalyzeEntitySentimentRequest request =
   *       AnalyzeEntitySentimentRequest.newBuilder()
   *           .setDocument(Document.newBuilder().build())
   *           .setEncodingType(EncodingType.forNumber(0))
   *           .build();
   *   AnalyzeEntitySentimentResponse response =
   *       languageServiceClient.analyzeEntitySentiment(request);
   * }
   * }
* * @param request The request object containing all of the parameters for the API call. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final AnalyzeEntitySentimentResponse analyzeEntitySentiment( AnalyzeEntitySentimentRequest request) { return analyzeEntitySentimentCallable().call(request); } // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Finds entities, similar to * [AnalyzeEntities][google.cloud.language.v1.LanguageService.AnalyzeEntities] in the text and * analyzes sentiment associated with each entity and its mentions. * *

Sample code: * *

{@code
   * // This snippet has been automatically generated and should be regarded as a code template only.
   * // It will require modifications to work:
   * // - It may require correct/in-range values for request initialization.
   * // - It may require specifying regional endpoints when creating the service client as shown in
   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
   * try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   *   AnalyzeEntitySentimentRequest request =
   *       AnalyzeEntitySentimentRequest.newBuilder()
   *           .setDocument(Document.newBuilder().build())
   *           .setEncodingType(EncodingType.forNumber(0))
   *           .build();
   *   ApiFuture future =
   *       languageServiceClient.analyzeEntitySentimentCallable().futureCall(request);
   *   // Do something.
   *   AnalyzeEntitySentimentResponse response = future.get();
   * }
   * }
*/ public final UnaryCallable analyzeEntitySentimentCallable() { return stub.analyzeEntitySentimentCallable(); } // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Analyzes the syntax of the text and provides sentence boundaries and tokenization along with * part of speech tags, dependency trees, and other properties. * *

Sample code: * *

{@code
   * // This snippet has been automatically generated and should be regarded as a code template only.
   * // It will require modifications to work:
   * // - It may require correct/in-range values for request initialization.
   * // - It may require specifying regional endpoints when creating the service client as shown in
   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
   * try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   *   Document document = Document.newBuilder().build();
   *   AnalyzeSyntaxResponse response = languageServiceClient.analyzeSyntax(document);
   * }
   * }
* * @param document Required. Input document. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final AnalyzeSyntaxResponse analyzeSyntax(Document document) { AnalyzeSyntaxRequest request = AnalyzeSyntaxRequest.newBuilder().setDocument(document).build(); return analyzeSyntax(request); } // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Analyzes the syntax of the text and provides sentence boundaries and tokenization along with * part of speech tags, dependency trees, and other properties. * *

Sample code: * *

{@code
   * // This snippet has been automatically generated and should be regarded as a code template only.
   * // It will require modifications to work:
   * // - It may require correct/in-range values for request initialization.
   * // - It may require specifying regional endpoints when creating the service client as shown in
   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
   * try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   *   Document document = Document.newBuilder().build();
   *   EncodingType encodingType = EncodingType.forNumber(0);
   *   AnalyzeSyntaxResponse response = languageServiceClient.analyzeSyntax(document, encodingType);
   * }
   * }
* * @param document Required. Input document. * @param encodingType The encoding type used by the API to calculate offsets. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final AnalyzeSyntaxResponse analyzeSyntax(Document document, EncodingType encodingType) { AnalyzeSyntaxRequest request = AnalyzeSyntaxRequest.newBuilder() .setDocument(document) .setEncodingType(encodingType) .build(); return analyzeSyntax(request); } // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Analyzes the syntax of the text and provides sentence boundaries and tokenization along with * part of speech tags, dependency trees, and other properties. * *

Sample code: * *

{@code
   * // This snippet has been automatically generated and should be regarded as a code template only.
   * // It will require modifications to work:
   * // - It may require correct/in-range values for request initialization.
   * // - It may require specifying regional endpoints when creating the service client as shown in
   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
   * try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   *   AnalyzeSyntaxRequest request =
   *       AnalyzeSyntaxRequest.newBuilder()
   *           .setDocument(Document.newBuilder().build())
   *           .setEncodingType(EncodingType.forNumber(0))
   *           .build();
   *   AnalyzeSyntaxResponse response = languageServiceClient.analyzeSyntax(request);
   * }
   * }
* * @param request The request object containing all of the parameters for the API call. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final AnalyzeSyntaxResponse analyzeSyntax(AnalyzeSyntaxRequest request) { return analyzeSyntaxCallable().call(request); } // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Analyzes the syntax of the text and provides sentence boundaries and tokenization along with * part of speech tags, dependency trees, and other properties. * *

Sample code: * *

{@code
   * // This snippet has been automatically generated and should be regarded as a code template only.
   * // It will require modifications to work:
   * // - It may require correct/in-range values for request initialization.
   * // - It may require specifying regional endpoints when creating the service client as shown in
   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
   * try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   *   AnalyzeSyntaxRequest request =
   *       AnalyzeSyntaxRequest.newBuilder()
   *           .setDocument(Document.newBuilder().build())
   *           .setEncodingType(EncodingType.forNumber(0))
   *           .build();
   *   ApiFuture future =
   *       languageServiceClient.analyzeSyntaxCallable().futureCall(request);
   *   // Do something.
   *   AnalyzeSyntaxResponse response = future.get();
   * }
   * }
*/ public final UnaryCallable analyzeSyntaxCallable() { return stub.analyzeSyntaxCallable(); } // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Classifies a document into categories. * *

Sample code: * *

{@code
   * // This snippet has been automatically generated and should be regarded as a code template only.
   * // It will require modifications to work:
   * // - It may require correct/in-range values for request initialization.
   * // - It may require specifying regional endpoints when creating the service client as shown in
   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
   * try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   *   Document document = Document.newBuilder().build();
   *   ClassifyTextResponse response = languageServiceClient.classifyText(document);
   * }
   * }
* * @param document Required. Input document. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final ClassifyTextResponse classifyText(Document document) { ClassifyTextRequest request = ClassifyTextRequest.newBuilder().setDocument(document).build(); return classifyText(request); } // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Classifies a document into categories. * *

Sample code: * *

{@code
   * // This snippet has been automatically generated and should be regarded as a code template only.
   * // It will require modifications to work:
   * // - It may require correct/in-range values for request initialization.
   * // - It may require specifying regional endpoints when creating the service client as shown in
   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
   * try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   *   ClassifyTextRequest request =
   *       ClassifyTextRequest.newBuilder()
   *           .setDocument(Document.newBuilder().build())
   *           .setClassificationModelOptions(ClassificationModelOptions.newBuilder().build())
   *           .build();
   *   ClassifyTextResponse response = languageServiceClient.classifyText(request);
   * }
   * }
* * @param request The request object containing all of the parameters for the API call. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final ClassifyTextResponse classifyText(ClassifyTextRequest request) { return classifyTextCallable().call(request); } // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Classifies a document into categories. * *

Sample code: * *

{@code
   * // This snippet has been automatically generated and should be regarded as a code template only.
   * // It will require modifications to work:
   * // - It may require correct/in-range values for request initialization.
   * // - It may require specifying regional endpoints when creating the service client as shown in
   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
   * try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   *   ClassifyTextRequest request =
   *       ClassifyTextRequest.newBuilder()
   *           .setDocument(Document.newBuilder().build())
   *           .setClassificationModelOptions(ClassificationModelOptions.newBuilder().build())
   *           .build();
   *   ApiFuture future =
   *       languageServiceClient.classifyTextCallable().futureCall(request);
   *   // Do something.
   *   ClassifyTextResponse response = future.get();
   * }
   * }
*/ public final UnaryCallable classifyTextCallable() { return stub.classifyTextCallable(); } // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Moderates a document for harmful and sensitive categories. * *

Sample code: * *

{@code
   * // This snippet has been automatically generated and should be regarded as a code template only.
   * // It will require modifications to work:
   * // - It may require correct/in-range values for request initialization.
   * // - It may require specifying regional endpoints when creating the service client as shown in
   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
   * try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   *   Document document = Document.newBuilder().build();
   *   ModerateTextResponse response = languageServiceClient.moderateText(document);
   * }
   * }
* * @param document Required. Input document. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final ModerateTextResponse moderateText(Document document) { ModerateTextRequest request = ModerateTextRequest.newBuilder().setDocument(document).build(); return moderateText(request); } // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Moderates a document for harmful and sensitive categories. * *

Sample code: * *

{@code
   * // This snippet has been automatically generated and should be regarded as a code template only.
   * // It will require modifications to work:
   * // - It may require correct/in-range values for request initialization.
   * // - It may require specifying regional endpoints when creating the service client as shown in
   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
   * try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   *   ModerateTextRequest request =
   *       ModerateTextRequest.newBuilder().setDocument(Document.newBuilder().build()).build();
   *   ModerateTextResponse response = languageServiceClient.moderateText(request);
   * }
   * }
* * @param request The request object containing all of the parameters for the API call. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final ModerateTextResponse moderateText(ModerateTextRequest request) { return moderateTextCallable().call(request); } // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Moderates a document for harmful and sensitive categories. * *

Sample code: * *

{@code
   * // This snippet has been automatically generated and should be regarded as a code template only.
   * // It will require modifications to work:
   * // - It may require correct/in-range values for request initialization.
   * // - It may require specifying regional endpoints when creating the service client as shown in
   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
   * try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   *   ModerateTextRequest request =
   *       ModerateTextRequest.newBuilder().setDocument(Document.newBuilder().build()).build();
   *   ApiFuture future =
   *       languageServiceClient.moderateTextCallable().futureCall(request);
   *   // Do something.
   *   ModerateTextResponse response = future.get();
   * }
   * }
*/ public final UnaryCallable moderateTextCallable() { return stub.moderateTextCallable(); } // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * A convenience method that provides all the features that analyzeSentiment, analyzeEntities, and * analyzeSyntax provide in one call. * *

Sample code: * *

{@code
   * // This snippet has been automatically generated and should be regarded as a code template only.
   * // It will require modifications to work:
   * // - It may require correct/in-range values for request initialization.
   * // - It may require specifying regional endpoints when creating the service client as shown in
   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
   * try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   *   Document document = Document.newBuilder().build();
   *   AnnotateTextRequest.Features features = AnnotateTextRequest.Features.newBuilder().build();
   *   AnnotateTextResponse response = languageServiceClient.annotateText(document, features);
   * }
   * }
* * @param document Required. Input document. * @param features Required. The enabled features. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final AnnotateTextResponse annotateText( Document document, AnnotateTextRequest.Features features) { AnnotateTextRequest request = AnnotateTextRequest.newBuilder().setDocument(document).setFeatures(features).build(); return annotateText(request); } // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * A convenience method that provides all the features that analyzeSentiment, analyzeEntities, and * analyzeSyntax provide in one call. * *

Sample code: * *

{@code
   * // This snippet has been automatically generated and should be regarded as a code template only.
   * // It will require modifications to work:
   * // - It may require correct/in-range values for request initialization.
   * // - It may require specifying regional endpoints when creating the service client as shown in
   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
   * try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   *   Document document = Document.newBuilder().build();
   *   AnnotateTextRequest.Features features = AnnotateTextRequest.Features.newBuilder().build();
   *   EncodingType encodingType = EncodingType.forNumber(0);
   *   AnnotateTextResponse response =
   *       languageServiceClient.annotateText(document, features, encodingType);
   * }
   * }
* * @param document Required. Input document. * @param features Required. The enabled features. * @param encodingType The encoding type used by the API to calculate offsets. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final AnnotateTextResponse annotateText( Document document, AnnotateTextRequest.Features features, EncodingType encodingType) { AnnotateTextRequest request = AnnotateTextRequest.newBuilder() .setDocument(document) .setFeatures(features) .setEncodingType(encodingType) .build(); return annotateText(request); } // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * A convenience method that provides all the features that analyzeSentiment, analyzeEntities, and * analyzeSyntax provide in one call. * *

Sample code: * *

{@code
   * // This snippet has been automatically generated and should be regarded as a code template only.
   * // It will require modifications to work:
   * // - It may require correct/in-range values for request initialization.
   * // - It may require specifying regional endpoints when creating the service client as shown in
   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
   * try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   *   AnnotateTextRequest request =
   *       AnnotateTextRequest.newBuilder()
   *           .setDocument(Document.newBuilder().build())
   *           .setFeatures(AnnotateTextRequest.Features.newBuilder().build())
   *           .setEncodingType(EncodingType.forNumber(0))
   *           .build();
   *   AnnotateTextResponse response = languageServiceClient.annotateText(request);
   * }
   * }
* * @param request The request object containing all of the parameters for the API call. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final AnnotateTextResponse annotateText(AnnotateTextRequest request) { return annotateTextCallable().call(request); } // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * A convenience method that provides all the features that analyzeSentiment, analyzeEntities, and * analyzeSyntax provide in one call. * *

Sample code: * *

{@code
   * // This snippet has been automatically generated and should be regarded as a code template only.
   * // It will require modifications to work:
   * // - It may require correct/in-range values for request initialization.
   * // - It may require specifying regional endpoints when creating the service client as shown in
   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
   * try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   *   AnnotateTextRequest request =
   *       AnnotateTextRequest.newBuilder()
   *           .setDocument(Document.newBuilder().build())
   *           .setFeatures(AnnotateTextRequest.Features.newBuilder().build())
   *           .setEncodingType(EncodingType.forNumber(0))
   *           .build();
   *   ApiFuture future =
   *       languageServiceClient.annotateTextCallable().futureCall(request);
   *   // Do something.
   *   AnnotateTextResponse response = future.get();
   * }
   * }
*/ public final UnaryCallable annotateTextCallable() { return stub.annotateTextCallable(); } @Override public final void close() { stub.close(); } @Override public void shutdown() { stub.shutdown(); } @Override public boolean isShutdown() { return stub.isShutdown(); } @Override public boolean isTerminated() { return stub.isTerminated(); } @Override public void shutdownNow() { stub.shutdownNow(); } @Override public boolean awaitTermination(long duration, TimeUnit unit) throws InterruptedException { return stub.awaitTermination(duration, unit); } }




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