Effectuer une saisie semi-automatique de l'intitulé du poste (v4beta1)

Effectuez une saisie semi-automatique de demande d'intitulé du poste.

En savoir plus

Pour obtenir une documentation détaillée incluant cet exemple de code, consultez les articles suivants :

Exemple de code

Go

Pour savoir comment installer et utiliser la bibliothèque cliente pour CTS, consultez la section Bibliothèques clientes CTS. Pour en savoir plus, consultez la documentation de référence de l'API CTS Go.

Pour vous authentifier auprès de CTS, configurez les Identifiants par défaut de l'application. Pour en savoir plus, consultez Configurer l'authentification pour un environnement de développement local.

import (
	"context"
	"fmt"
	"io"

	talent "cloud.google.com/go/talent/apiv4beta1"
	"cloud.google.com/go/talent/apiv4beta1/talentpb"
)

// jobTitleAutoComplete suggests the job titles of the given
// company identifier on query.
func jobTitleAutocomplete(w io.Writer, projectID, query string) (*talentpb.CompleteQueryResponse, error) {
	ctx := context.Background()

	// Initialize a completionService client.
	c, err := talent.NewCompletionClient(ctx)
	if err != nil {
		return nil, fmt.Errorf("talent.NewCompletionClient: %w", err)
	}
	defer c.Close()

	// Construct a completeQuery request.
	req := &talentpb.CompleteQueryRequest{
		Parent:        fmt.Sprintf("projects/%s", projectID),
		Query:         query,
		LanguageCodes: []string{"en-US"},
		PageSize:      5, // Number of completion results returned.
		Scope:         talentpb.CompleteQueryRequest_PUBLIC,
		Type:          talentpb.CompleteQueryRequest_JOB_TITLE,
	}

	resp, err := c.CompleteQuery(ctx, req)
	if err != nil {
		return nil, fmt.Errorf("CompleteQuery(%s): %w", query, err)
	}

	fmt.Fprintf(w, "Auto complete results:")
	for _, c := range resp.GetCompletionResults() {
		fmt.Fprintf(w, "\t%v\n", c.Suggestion)
	}

	return resp, nil
}

Java


import com.google.cloud.talent.v4.CompleteQueryRequest;
import com.google.cloud.talent.v4.CompleteQueryResponse;
import com.google.cloud.talent.v4.CompletionClient;
import com.google.cloud.talent.v4.TenantName;
import java.io.IOException;

public class JobSearchAutoCompleteJobTitle {

  public static void completeQuery() throws IOException {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String tenantId = "your-tenant-id";
    String query = "your-query-for-job-title";
    completeQuery(projectId, tenantId, query);
  }

  // Complete job title given partial text (autocomplete).
  public static void completeQuery(String projectId, String tenantId, String query)
      throws IOException {
    // 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 (CompletionClient completionClient = CompletionClient.create()) {
      TenantName parent = TenantName.of(projectId, tenantId);
      CompleteQueryRequest request =
          CompleteQueryRequest.newBuilder()
              .setTenant(parent.toString())
              .setQuery(query)
              .setPageSize(5) // limit for number of results
              .addLanguageCodes("en-US") // language code
              .build();
      CompleteQueryResponse response = completionClient.completeQuery(request);
      for (CompleteQueryResponse.CompletionResult result : response.getCompletionResultsList()) {
        System.out.format("Suggested title: %s%n", result.getSuggestion());
        // Suggestion type is JOB_TITLE or COMPANY_TITLE
        System.out.format("Suggestion type: %s%n", result.getType());
      }
    }
  }
}

Node.js


const talent = require('@google-cloud/talent').v4;

/**
 * Complete job title given partial text (autocomplete)
 *
 * @param projectId {string} Your Google Cloud Project ID
 * @param tenantId {string} Identifier of the TenantId
 */
function sampleCompleteQuery(
  projectId,
  tenantId,
  query,
  numResults,
  languageCode
) {
  const client = new talent.CompletionClient();
  // const projectId = 'Your Google Cloud Project ID';
  // const tenantId = 'Your Tenant ID (using tenancy is optional)';
  // const query = '[partially typed job title]';
  // const numResults = 5;
  // const languageCode = 'en-US';
  const formattedParent = client.tenantPath(projectId, tenantId);
  const languageCodes = [languageCode];
  const request = {
    parent: formattedParent,
    query: query,
    pageSize: numResults,
    languageCodes: languageCodes,
  };
  client
    .completeQuery(request)
    .then(responses => {
      const response = responses[0];
      for (const result of response.completionResults) {
        console.log(`Suggested title: ${result.suggestion}`);
        // Suggestion type is JOB_TITLE or COMPANY_TITLE
        console.log(`Suggestion type: ${result.type}`);
      }
    })
    .catch(err => {
      console.error(err);
    });
}

Python


from google.cloud import talent_v4beta1

def complete_query(project_id, tenant_id, query):
    """Complete job title given partial text (autocomplete)"""

    client = talent_v4beta1.CompletionClient()

    # project_id = 'Your Google Cloud Project ID'
    # tenant_id = 'Your Tenant ID (using tenancy is optional)'
    # query = '[partially typed job title]'

    if isinstance(project_id, bytes):
        project_id = project_id.decode("utf-8")
    if isinstance(tenant_id, bytes):
        tenant_id = tenant_id.decode("utf-8")
    if isinstance(query, bytes):
        query = query.decode("utf-8")

    parent = f"projects/{project_id}/tenants/{tenant_id}"

    request = talent_v4beta1.CompleteQueryRequest(
        parent=parent,
        query=query,
        page_size=5,  # limit for number of results
        language_codes=["en-US"],  # language code
    )
    response = client.complete_query(request=request)
    for result in response.completion_results:
        print(f"Suggested title: {result.suggestion}")
        # Suggestion type is JOB_TITLE or COMPANY_TITLE
        print(
            f"Suggestion type: {talent_v4beta1.CompleteQueryRequest.CompletionType(result.type_).name}"
        )

Étapes suivantes

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