빠른 시작: 검색(v4beta1)

Cloud Talent Solution을 사용하면 Cloud Talent Solution 시스템에 게시된 현재 활성화된 모든 채용정보를 검색할 수 있습니다. 검색 요청을 수행할 수 있게 되면 채용정보 분석 프레임워크를 실행하고 클라이언트 이벤트를 실행하십시오. 이 프레임워크는 Cloud Talent Solution이 제공하는 가치의 핵심이며 검색결과 개선에 직접적인 영향을 줍니다. 동영상 튜토리얼 및 대화형 Codelab도 사용 가능합니다.

특정 필드에 따른 채용정보 수의 히스토그램 구하기

Search API는 검색어의 필터와 일치하며 Cloud Talent Solution에 색인이 생성된 모든 관련 작업의 히스토그램도 반환합니다. 이제 검색결과를 가져왔으므로 여러 가지 속성에 따라 채용정보의 수를 구할 수 있습니다. 히스토그램 API를 활용하여 특정 속성에 따른 채용정보의 수를 구하세요.

Go

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())
	}
}

자바

Cloud Talent Solution 클라이언트 설치 및 생성에 대한 자세한 내용은 Cloud Talent Solution 클라이언트 라이브러리를 참조하세요.


import com.google.cloud.talent.v4beta1.HistogramQuery;
import com.google.cloud.talent.v4beta1.Job;
import com.google.cloud.talent.v4beta1.JobServiceClient;
import com.google.cloud.talent.v4beta1.RequestMetadata;
import com.google.cloud.talent.v4beta1.SearchJobsRequest;
import com.google.cloud.talent.v4beta1.SearchJobsResponse;
import com.google.cloud.talent.v4beta1.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).iterateAll()) {
        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

Cloud Talent Solution 클라이언트 설치 및 만들기에 대한 자세한 내용은 Cloud Talent Solution 클라이언트 라이브러리를 참조하세요.


from google.cloud import talent
import six

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

이 경우 다양한 속성 중 지정된 필터를 통해 시스템에서 CATEGORY와 CITY 속성을 지닌 모든 채용정보의 수를 구합니다.

Autocomplete API를 사용하여 채용정보 제목 제안받기

Complete API는 구직자가 이미 입력한 내용에 따라 관심을 가질 만한 채용정보 제목 또는 회사 이름을 제안합니다. UI의 검색창에서 이 API를 사용하여 가능한 결과를 자동 완성하세요.

Go

Cloud Talent Solution 클라이언트 설치 및 만들기에 대한 자세한 내용은 Cloud Talent Solution 클라이언트 라이브러리를 참조하세요.

import (
	"context"
	"fmt"
	"io"

	talent "cloud.google.com/go/talent/apiv4beta1"
	talentpb "google.golang.org/genproto/googleapis/cloud/talent/v4beta1"
)

// 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: %v", 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): %v", query, err)
	}

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

	return resp, nil
}

자바

Cloud Talent Solution 클라이언트 설치 및 만들기에 대한 자세한 내용은 Cloud Talent Solution 클라이언트 라이브러리를 참조하세요.


import com.google.cloud.talent.v4beta1.CompleteQueryRequest;
import com.google.cloud.talent.v4beta1.CompleteQueryResponse;
import com.google.cloud.talent.v4beta1.CompletionClient;
import com.google.cloud.talent.v4beta1.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()
              .setParent(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());
      }
    }
  }
}

Python

Cloud Talent Solution 클라이언트 설치 및 만들기에 대한 자세한 내용은 Cloud Talent Solution 클라이언트 라이브러리를 참조하세요.


from google.cloud import talent_v4beta1
import six

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