Démarrage rapide : effectuer une recherche

Cloud Talent Solution vous permet de rechercher toutes les offres d'emploi actuellement actives que vous avez publiées sur le système CTS. Lorsque vous êtes en mesure de créer des requêtes de recherche, veillez à mettre en œuvre le framework d'analyse des offres d'emploi et les événements client. Ce framework est ce qui constitue toute la puissance de Cloud Talent Solution. Il a une incidence directe sur l'amélioration des résultats de recherche. Des tutoriels vidéo et des ateliers de programmation interactifs sont également disponibles.

Obtenir un histogramme du nombre d'offres d'emploi dans un domaine

L'API de recherche renvoie également un histogramme de toutes les offres d'emploi pertinentes indexées dans Cloud Talent Solution et qui correspondent aux filtres de la requête de recherche. Maintenant que vous avez obtenu les résultats de la recherche, vous pouvez obtenir un décompte des offres d'emploi selon différents attributs. Tirez parti de l'API d'histogramme pour obtenir le nombre d'offres d'emploi en fonction de certains attributs.

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"
	"google.golang.org/api/iterator"
	talentpb "google.golang.org/genproto/googleapis/cloud/talent/v4beta1"
)

// histogramSearch searches for jobs with histogram queries.
func histogramSearch(w io.Writer, projectID, companyID string) error {
	ctx := context.Background()

	// Initialize a jobService client.
	c, err := talent.NewJobClient(ctx)
	if err != nil {
		fmt.Printf("talent.NewJobClient: %v\n", err)
		return err
	}

	// Construct a searchJobs request.
	req := &talentpb.SearchJobsRequest{
		Parent: fmt.Sprintf("projects/%s", projectID),
		// Make sure to set the RequestMetadata the same as the associated
		// search request.
		RequestMetadata: &talentpb.RequestMetadata{
			// Make sure to hash your userId.
			UserId: "HashedUsrID",
			// Make sure to hash the sessionId.
			SessionId: "HashedSessionID",
			// Domain of the website where the search is conducted.
			Domain: "www.googlesample.com",
		},
		HistogramQueries: []*talentpb.HistogramQuery{
			{
				// More info on histogram facets, constants, and built-in functions:
				// https://godoc.org/google.golang.org/genproto/googleapis/cloud/talent/v4beta1#SearchJobsRequest
				HistogramQuery: "count(base_compensation, [bucket(12, 20)])",
			},
		},
	}
	if companyID != "" {
		req.JobQuery = &talentpb.JobQuery{
			CompanyNames: []string{fmt.Sprintf("projects/%s/companies/%s", projectID, companyID)},
		}
	}

	it := c.SearchJobs(ctx, req)

	for {
		resp, err := it.Next()
		if err == iterator.Done {
			return nil
		}
		if err != nil {
			fmt.Printf("it.Next: %v\n", err)
			return err
		}
		fmt.Fprintf(w, "Job: %q\n", resp.Job.GetName())
	}
}

Java


import com.google.cloud.talent.v4.HistogramQuery;
import com.google.cloud.talent.v4.Job;
import com.google.cloud.talent.v4.JobServiceClient;
import com.google.cloud.talent.v4.RequestMetadata;
import com.google.cloud.talent.v4.SearchJobsRequest;
import com.google.cloud.talent.v4.SearchJobsResponse;
import com.google.cloud.talent.v4.TenantName;
import java.io.IOException;

public class HistogramSearchJobs {

  public static void searchJobs() throws IOException {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String tenantId = "your-tenant-id";
    String query = "count(base_compensation, [bucket(12, 20)])";
    searchJobs(projectId, tenantId, query);
  }

  // Search Jobs with histogram queries.
  public static void searchJobs(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 (JobServiceClient jobServiceClient = JobServiceClient.create()) {
      TenantName parent = TenantName.of(projectId, tenantId);

      String domain = "http://www.jobUrl.com";
      String sessionId = "Hashed session identifier";
      String userId = "Hashed user identifier";
      RequestMetadata requestMetadata =
          RequestMetadata.newBuilder()
              .setDomain(domain)
              .setSessionId(sessionId)
              .setUserId(userId)
              .build();
      HistogramQuery histogramQueriesElement =
          HistogramQuery.newBuilder().setHistogramQuery(query).build();
      SearchJobsRequest request =
          SearchJobsRequest.newBuilder()
              .setParent(parent.toString())
              .setRequestMetadata(requestMetadata)
              .addHistogramQueries(histogramQueriesElement)
              .build();

      for (SearchJobsResponse.MatchingJob responseItem :
          jobServiceClient.searchJobs(request).getMatchingJobsList()) {
        System.out.format("Job summary: %s%n", responseItem.getJobSummary());
        System.out.format("Job title snippet: %s%n", responseItem.getJobTitleSnippet());
        Job job = responseItem.getJob();
        System.out.format("Job name: %s%n", job.getName());
        System.out.format("Job title: %s%n", job.getTitle());
      }
    }
  }
}

Python


from google.cloud import talent

def search_jobs(project_id, tenant_id, query):
    """
    Search Jobs with histogram queries

    Args:
      query Histogram query
      More info on histogram facets, constants, and built-in functions:
      https://godoc.org/google.golang.org/genproto/googleapis/cloud/talent/v4beta1#SearchJobsRequest
    """

    client = talent.JobServiceClient()

    # project_id = 'Your Google Cloud Project ID'
    # tenant_id = 'Your Tenant ID (using tenancy is optional)'
    # query = 'count(base_compensation, [bucket(12, 20)])'

    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}"
    domain = "www.example.com"
    session_id = "Hashed session identifier"
    user_id = "Hashed user identifier"
    request_metadata = {"domain": domain, "session_id": session_id, "user_id": user_id}
    histogram_queries_element = {"histogram_query": query}
    histogram_queries = [histogram_queries_element]

    # Iterate over all results
    results = []
    request = talent.SearchJobsRequest(
        parent=parent,
        request_metadata=request_metadata,
        histogram_queries=histogram_queries,
    )
    for response_item in client.search_jobs(request=request).matching_jobs:
        print("Job summary: {response_item.job_summary}")
        print("Job title snippet: {response_item.job_title_snippet}")
        job = response_item.job
        results.append(job)
        print("Job name: {job.name}")
        print("Job title: {job.title}")
    return results

Dans ce cas, nous obtenons le nombre d'offres d'emploi qui se trouvent dans le système, acceptées par les filtres spécifiés et pour les différents attributs (CATEGORY et CITY).

Utiliser l'API de saisie semi-automatique pour obtenir le nom des offres d'emploi suggérées

L'API complète suggère des intitulés de postes ou des noms d'entreprises susceptibles d'intéresser le demandeur d'emploi, en fonction de ce qu'il a déjà saisi. Utilisez cette fonction pour saisir les résultats potentiels dans la barre de recherche de l'interface utilisateur de manière semi-automatique.

Go

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}"
        )