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Traduce texto con el glosario y el modelo en lotes (solo en la edición Advanced)

Traduce un gran volumen de texto con un glosario y modelo.

Páginas de documentación que incluyen esta muestra de código

Para ver la muestra de código usada en contexto, consulta la siguiente documentación:

Muestra de código

Comienza a usarlo

Antes de probar este código de muestra, sigue las instrucciones de configuración para Go que encontrarás en la guía de inicio rápido sobre las bibliotecas cliente de Translation. Si deseas obtener más información, consulta la documentación de referencia de la API de Translation para Go.

import (
	"context"
	"fmt"
	"io"

	translate "cloud.google.com/go/translate/apiv3"
	translatepb "google.golang.org/genproto/googleapis/cloud/translate/v3"
)

// batchTranslateTextWithGlossaryAndModel translates a large volume of text in asynchronous batch mode.
func batchTranslateTextWithGlossaryAndModel(w io.Writer, projectID string, location string, inputURI string, outputURI string, sourceLang string, targetLang string, glossaryID string, modelID string) error {
	// projectID := "my-project-id"
	// location := "us-central1"
	// inputURI := "gs://cloud-samples-data/text.txt"
	// outputURI := "gs://YOUR_BUCKET_ID/path_to_store_results/"
	// sourceLang := "en"
	// targetLang := "ja"
	// glossaryID := "your-glossary-id"
	// modelID := "your-model-id"

	ctx := context.Background()
	client, err := translate.NewTranslationClient(ctx)
	if err != nil {
		return fmt.Errorf("NewTranslationClient: %v", err)
	}
	defer client.Close()

	req := &translatepb.BatchTranslateTextRequest{
		Parent:              fmt.Sprintf("projects/%s/locations/%s", projectID, location),
		SourceLanguageCode:  sourceLang,
		TargetLanguageCodes: []string{targetLang},
		InputConfigs: []*translatepb.InputConfig{
			{
				Source: &translatepb.InputConfig_GcsSource{
					GcsSource: &translatepb.GcsSource{InputUri: inputURI},
				},
				// Optional. Can be "text/plain" or "text/html".
				MimeType: "text/plain",
			},
		},
		Glossaries: map[string]*translatepb.TranslateTextGlossaryConfig{
			targetLang: {
				Glossary: fmt.Sprintf("projects/%s/locations/%s/glossaries/%s", projectID, location, glossaryID),
			},
		},
		OutputConfig: &translatepb.OutputConfig{
			Destination: &translatepb.OutputConfig_GcsDestination{
				GcsDestination: &translatepb.GcsDestination{
					OutputUriPrefix: outputURI,
				},
			},
		},
		Models: map[string]string{
			targetLang: fmt.Sprintf("projects/%s/locations/%s/models/%s", projectID, location, modelID),
		},
	}

	// The BatchTranslateText operation is async.
	op, err := client.BatchTranslateText(ctx, req)
	if err != nil {
		return fmt.Errorf("BatchTranslateText: %v", err)
	}
	fmt.Fprintf(w, "Processing operation name: %q\n", op.Name())

	resp, err := op.Wait(ctx)
	if err != nil {
		return fmt.Errorf("Wait: %v", err)
	}

	fmt.Fprintf(w, "Total characters: %v\n", resp.GetTotalCharacters())
	fmt.Fprintf(w, "Translated characters: %v\n", resp.GetTranslatedCharacters())

	return nil
}

Java

Antes de probar este código de muestra, sigue las instrucciones de configuración para Java que encontrarás en la guía de inicio rápido sobre las bibliotecas cliente de Translation. Si deseas obtener más información, consulta la documentación de referencia de la API de Translation para Java.

import com.google.api.gax.longrunning.OperationFuture;
import com.google.cloud.translate.v3.BatchTranslateMetadata;
import com.google.cloud.translate.v3.BatchTranslateResponse;
import com.google.cloud.translate.v3.BatchTranslateTextRequest;
import com.google.cloud.translate.v3.GcsDestination;
import com.google.cloud.translate.v3.GcsSource;
import com.google.cloud.translate.v3.GlossaryName;
import com.google.cloud.translate.v3.InputConfig;
import com.google.cloud.translate.v3.LocationName;
import com.google.cloud.translate.v3.OutputConfig;
import com.google.cloud.translate.v3.TranslateTextGlossaryConfig;
import com.google.cloud.translate.v3.TranslationServiceClient;
import java.io.IOException;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.ThreadLocalRandom;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;

public class BatchTranslateTextWithGlossaryAndModel {

  public static void batchTranslateTextWithGlossaryAndModel()
      throws InterruptedException, ExecutionException, IOException, TimeoutException {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "YOUR-PROJECT-ID";
    // Supported Languages: https://cloud.google.com/translate/docs/languages
    String sourceLanguage = "your-source-language";
    String targetLanguage = "your-target-language";
    String inputUri = "gs://your-gcs-bucket/path/to/input/file.txt";
    String outputUri = "gs://your-gcs-bucket/path/to/results/";
    String glossaryId = "your-glossary-display-name";
    String modelId = "YOUR-MODEL-ID";
    batchTranslateTextWithGlossaryAndModel(
        projectId, sourceLanguage, targetLanguage, inputUri, outputUri, glossaryId, modelId);
  }

  // Batch translate text with Model and Glossary
  public static void batchTranslateTextWithGlossaryAndModel(
      String projectId,
      String sourceLanguage,
      String targetLanguage,
      String inputUri,
      String outputUri,
      String glossaryId,
      String modelId)
      throws IOException, ExecutionException, InterruptedException, TimeoutException {

    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (TranslationServiceClient client = TranslationServiceClient.create()) {
      // Supported Locations: `global`, [glossary location], or [model location]
      // Glossaries must be hosted in `us-central1`
      // Custom Models must use the same location as your model. (us-central1)
      String location = "us-central1";
      LocationName parent = LocationName.of(projectId, location);

      // Configure the source of the file from a GCS bucket
      GcsSource gcsSource = GcsSource.newBuilder().setInputUri(inputUri).build();
      // Supported Mime Types: https://cloud.google.com/translate/docs/supported-formats
      InputConfig inputConfig =
          InputConfig.newBuilder().setGcsSource(gcsSource).setMimeType("text/plain").build();

      // Configure where to store the output in a GCS bucket
      GcsDestination gcsDestination =
          GcsDestination.newBuilder().setOutputUriPrefix(outputUri).build();
      OutputConfig outputConfig =
          OutputConfig.newBuilder().setGcsDestination(gcsDestination).build();

      // Configure the glossary used in the request
      GlossaryName glossaryName = GlossaryName.of(projectId, location, glossaryId);
      TranslateTextGlossaryConfig glossaryConfig =
          TranslateTextGlossaryConfig.newBuilder().setGlossary(glossaryName.toString()).build();

      // Configure the model used in the request
      String modelPath =
          String.format("projects/%s/locations/%s/models/%s", projectId, location, modelId);

      // Build the request that will be sent to the API
      BatchTranslateTextRequest request =
          BatchTranslateTextRequest.newBuilder()
              .setParent(parent.toString())
              .setSourceLanguageCode(sourceLanguage)
              .addTargetLanguageCodes(targetLanguage)
              .addInputConfigs(inputConfig)
              .setOutputConfig(outputConfig)
              .putGlossaries(targetLanguage, glossaryConfig)
              .putModels(targetLanguage, modelPath)
              .build();

      // Start an asynchronous request
      OperationFuture<BatchTranslateResponse, BatchTranslateMetadata> future =
          client.batchTranslateTextAsync(request);

      System.out.println("Waiting for operation to complete...");

      // random number between 300 - 450 (maximum allowed seconds)
      long randomNumber = ThreadLocalRandom.current().nextInt(300, 450);
      BatchTranslateResponse response = future.get(randomNumber, TimeUnit.SECONDS);

      // Display the translation for each input text provided
      System.out.printf("Total Characters: %s\n", response.getTotalCharacters());
      System.out.printf("Translated Characters: %s\n", response.getTranslatedCharacters());
    }
  }
}

Node.js

Antes de probar este código de muestra, sigue las instrucciones de configuración para Node.js que encontrarás en la guía de inicio rápido sobre las bibliotecas cliente de Translation. Si deseas obtener más información, consulta la documentación de referencia de la API de Translation para Node.js.

/**
 * TODO(developer): Uncomment these variables before running the sample.
 */
// const projectId = 'YOUR_PROJECT_ID';
// const location = 'us-central1';
// const inputUri = 'gs://cloud-samples-data/text.txt';
// const outputUri = 'gs://YOUR_BUCKET_ID/path_to_store_results/';
// const glossaryId = 'YOUR_GLOSSARY_ID';
// const modelId = 'YOUR_MODEL_ID';

// Imports the Google Cloud Translation library
const {TranslationServiceClient} = require('@google-cloud/translate');

// Instantiates a client
const client = new TranslationServiceClient();
async function batchTranslateTextWithGlossaryAndModel() {
  // Construct request
  const request = {
    parent: `projects/${projectId}/locations/${location}`,
    sourceLanguageCode: 'en',
    targetLanguageCodes: ['ja'],
    inputConfigs: [
      {
        mimeType: 'text/plain', // mime types: text/plain, text/html
        gcsSource: {
          inputUri: inputUri,
        },
      },
    ],
    outputConfig: {
      gcsDestination: {
        outputUriPrefix: outputUri,
      },
    },
    glossaries: {
      ja: {
        glossary: `projects/${projectId}/locations/${location}/glossaries/${glossaryId}`,
      },
    },
    models: {
      ja: `projects/${projectId}/locations/${location}/models/${modelId}`,
    },
  };

  try {
    const options = {timeout: 180000};
    // Create a job using a long-running operation
    const [operation] = await client.batchTranslateText(request, options);

    // Wait for operation to complete
    const [response] = await operation.promise();

    // Display the translation for each input text provided
    console.log(`Total Characters: ${response.totalCharacters}`);
    console.log(`Translated Characters: ${response.translatedCharacters}`);
  } catch (error) {
    console.error(error.details);
  }
}

batchTranslateTextWithGlossaryAndModel();

PHP

Antes de probar este código de muestra, sigue las instrucciones de configuración para PHP que encontrarás en la guía de inicio rápido sobre las bibliotecas cliente de Translation. Si deseas obtener más información, consulta la documentación de referencia de la API de Translation para PHP.

use Google\Cloud\Translate\V3\GcsDestination;
use Google\Cloud\Translate\V3\GcsSource;
use Google\Cloud\Translate\V3\InputConfig;
use Google\Cloud\Translate\V3\OutputConfig;
use Google\Cloud\Translate\V3\TranslateTextGlossaryConfig;
use Google\Cloud\Translate\V3\TranslationServiceClient;

$translationServiceClient = new TranslationServiceClient();

/** Uncomment and populate these variables in your code */
// $inputUri = 'gs://cloud-samples-data/text.txt';
// $outputUri = 'gs://YOUR_BUCKET_ID/path_to_store_results/';
// $projectId = '[Google Cloud Project ID]';
// $location = 'us-central1';
// $targetLanguage = 'en';
// $sourceLanguage = 'de';
// $modelId = '{your-model-id}';
// $glossaryId = '[YOUR_GLOSSARY_ID]';
$glossaryPath = $translationServiceClient->glossaryName(
    $projectId,
    $location,
    $glossaryId
);
$modelPath = sprintf(
    'projects/%s/locations/%s/models/%s',
    $projectId,
    $location,
    $modelId
);
$targetLanguageCodes = [$targetLanguage];
$gcsSource = (new GcsSource())
    ->setInputUri($inputUri);

// Optional. Can be "text/plain" or "text/html".
$mimeType = 'text/plain';
$inputConfigsElement = (new InputConfig())
    ->setGcsSource($gcsSource)
    ->setMimeType($mimeType);
$inputConfigs = [$inputConfigsElement];
$gcsDestination = (new GcsDestination())
    ->setOutputUriPrefix($outputUri);
$outputConfig = (new OutputConfig())
    ->setGcsDestination($gcsDestination);
$formattedParent = $translationServiceClient->locationName($projectId, $location);
$models = ['ja' => $modelPath];
$glossariesItem = (new TranslateTextGlossaryConfig())
    ->setGlossary($glossaryPath);
$glossaries = ['ja' => $glossariesItem];

try {
    $operationResponse = $translationServiceClient->batchTranslateText(
        $formattedParent,
        $sourceLanguage,
        $targetLanguageCodes,
        $inputConfigs,
        $outputConfig,
        [
            'models' => $models,
            'glossaries' => $glossaries
        ]
    );
    $operationResponse->pollUntilComplete();
    if ($operationResponse->operationSucceeded()) {
        $response = $operationResponse->getResult();
        // Display the translation for each input text provided
        printf('Total Characters: %s' . PHP_EOL, $response->getTotalCharacters());
        printf('Translated Characters: %s' . PHP_EOL, $response->getTranslatedCharacters());
    } else {
        $error = $operationResponse->getError();
        print($error->getMessage());
    }
} finally {
    $translationServiceClient->close();
}

Python

Antes de probar este código de muestra, sigue las instrucciones de configuración para Python que encontrarás en la guía de inicio rápido sobre las bibliotecas cliente de Translation. Si deseas obtener más información, consulta la documentación de referencia de la API de Translation para Python.

from google.cloud import translate

def batch_translate_text_with_glossary_and_model(
    input_uri="gs://YOUR_BUCKET_ID/path/to/your/file.txt",
    output_uri="gs://YOUR_BUCKET_ID/path/to/save/results/",
    project_id="YOUR_PROJECT_ID",
    model_id="YOUR_MODEL_ID",
    glossary_id="YOUR_GLOSSARY_ID",
):
    """
    Batch translate text with Glossary and Translation model
    """

    client = translate.TranslationServiceClient()

    # Supported language codes: https://cloud.google.com/translate/docs/languages
    location = "us-central1"

    target_language_codes = ["ja"]
    gcs_source = {"input_uri": input_uri}

    # Optional. Can be "text/plain" or "text/html".
    mime_type = "text/plain"
    input_configs_element = {"gcs_source": gcs_source, "mime_type": mime_type}
    input_configs = [input_configs_element]
    gcs_destination = {"output_uri_prefix": output_uri}
    output_config = {"gcs_destination": gcs_destination}
    parent = f"projects/{project_id}/locations/{location}"
    model_path = "projects/{}/locations/{}/models/{}".format(
        project_id, "us-central1", model_id
    )
    models = {"ja": model_path}

    glossary_path = client.glossary_path(
        project_id, "us-central1", glossary_id  # The location of the glossary
    )

    glossary_config = translate.TranslateTextGlossaryConfig(glossary=glossary_path)
    glossaries = {"ja": glossary_config}  # target lang as key

    operation = client.batch_translate_text(
        request={
            "parent": parent,
            "source_language_code": "en",
            "target_language_codes": target_language_codes,
            "input_configs": input_configs,
            "output_config": output_config,
            "models": models,
            "glossaries": glossaries,
        }
    )

    print("Waiting for operation to complete...")
    response = operation.result()

    # Display the translation for each input text provided
    print("Total Characters: {}".format(response.total_characters))
    print("Translated Characters: {}".format(response.translated_characters))

Ruby

Antes de probar este código de muestra, sigue las instrucciones de configuración para Ruby que encontrarás en la guía de inicio rápido sobre las bibliotecas cliente de Translation. Si deseas obtener más información, consulta la documentación de referencia de la API de Translation para Ruby.

require "google/cloud/translate"

# input_uri = "gs://cloud-samples-data/text.txt"
# output_uri = "gs://YOUR_BUCKET_ID/path_to_store_results/"
# project_id = "[Google Cloud Project ID]"
# location_id = "[LOCATION ID]"
# model_id = "[MODEL ID]"
# glossary_id = "[YOUR_GLOSSARY_ID]"

source_lang = "en"
target_lang = "ja"
# Optional. Can be "text/plain" or "text/html".
mime_type = "text/plain"

client = Google::Cloud::Translate.translation_service

parent = client.location_path project: project_id, location: location_id
glossary_path = client.glossary_path project:  project_id,
                                     location: location_id,
                                     glossary: glossary_id
model = "projects/#{project_id}/locations/#{location_id}/models/#{model_id}"
models = { target_lang => model }
glossaries = {
  target_lang => { glossary: glossary_path }
}
input_config = {
  mime_type:  mime_type,
  gcs_source: { input_uri: input_uri }
}
output_config = {
  gcs_destination: { output_uri_prefix: output_uri }
}

operation = client.batch_translate_text(
  parent:                parent,
  source_language_code:  source_lang,
  target_language_codes: [target_lang],
  input_configs:         [input_config],
  output_config:         output_config,
  models:                models,
  glossaries:            glossaries
)

# Wait until the long running operation is done
operation.wait_until_done!

response = operation.response

puts "Total Characters: #{response.total_characters}"
puts "Translated Characters: #{response.translated_characters}"