通勤时间搜索

搜索请求可包含通勤时间过滤条件，以便仅返回从起始点开始通勤时间在指定行程时间内的职位。结果包括匹配职位的预计通勤时间，以秒为单位。

特定通勤时间搜索

要返回特定通勤时间内的职位，请发送 jobs.search 请求，并在 JobQuery.commuteFilter 字段中包含 CommuteFilter 对象。Cloud Talent Solution 使用职位的 address 来计算该职位的通勤时间。如果未提供详细地址，Cloud Talent Solution 会尝试推断职位的实际街道地址。

Java

如需了解如何安装和使用 CTS 客户端库，请参阅 CTS 客户端库。 如需了解详情，请参阅 CTS Java API 参考文档。

如需向 CTS 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

import com.google.cloud.talent.v4.CommuteFilter;
import com.google.cloud.talent.v4.CommuteMethod;
import com.google.cloud.talent.v4.Job;
import com.google.cloud.talent.v4.JobQuery;
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 com.google.protobuf.Duration;
import com.google.type.LatLng;
import java.io.IOException;

public class CommuteSearchJobs {

  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";
    searchJobs(projectId, tenantId);
  }

  // Search Jobs with histogram queries.
  public static void searchJobs(String projectId, String tenantId) 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 = "www.example.com";
      String sessionId = "Hashed session identifier";
      String userId = "Hashed user identifier";
      RequestMetadata requestMetadata =
          RequestMetadata.newBuilder()
              .setDomain(domain)
              .setSessionId(sessionId)
              .setUserId(userId)
              .build();

      CommuteMethod commuteMethod = CommuteMethod.DRIVING;
      long seconds = 3600L;
      Duration travelDuration = Duration.newBuilder().setSeconds(seconds).build();

      double latitude = 37.422408;
      double longitude = -122.084068;
      LatLng startCoordinates =
          LatLng.newBuilder().setLatitude(latitude).setLongitude(longitude).build();

      CommuteFilter commuteFilter =
          CommuteFilter.newBuilder()
              .setCommuteMethod(commuteMethod)
              .setTravelDuration(travelDuration)
              .setStartCoordinates(startCoordinates)
              .build();

      JobQuery jobQuery = JobQuery.newBuilder().setCommuteFilter(commuteFilter).build();
      SearchJobsRequest request =
          SearchJobsRequest.newBuilder()
              .setParent(parent.toString())
              .setRequestMetadata(requestMetadata)
              .setJobQuery(jobQuery)
              .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());
      }
    }
  }
}

Java

如需了解如何安装和使用 CTS 客户端库，请参阅 CTS 客户端库。 如需了解详情，请参阅 CTS Java API 参考文档。

如需向 CTS 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

import com.google.cloud.talent.v4beta1.CommuteFilter;
import com.google.cloud.talent.v4beta1.CommuteMethod;
import com.google.cloud.talent.v4beta1.Job;
import com.google.cloud.talent.v4beta1.JobQuery;
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 com.google.protobuf.Duration;
import com.google.type.LatLng;
import java.io.IOException;

public class CommuteSearchJobs {

  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";
    searchJobs(projectId, tenantId);
  }

  // Search Jobs with histogram queries.
  public static void searchJobs(String projectId, String tenantId) 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 = "www.example.com";
      String sessionId = "Hashed session identifier";
      String userId = "Hashed user identifier";
      RequestMetadata requestMetadata =
          RequestMetadata.newBuilder()
              .setDomain(domain)
              .setSessionId(sessionId)
              .setUserId(userId)
              .build();

      CommuteMethod commuteMethod = CommuteMethod.DRIVING;
      long seconds = 3600L;
      Duration travelDuration = Duration.newBuilder().setSeconds(seconds).build();

      double latitude = 37.422408;
      double longitude = -122.084068;
      LatLng startCoordinates =
          LatLng.newBuilder().setLatitude(latitude).setLongitude(longitude).build();

      CommuteFilter commuteFilter =
          CommuteFilter.newBuilder()
              .setCommuteMethod(commuteMethod)
              .setTravelDuration(travelDuration)
              .setStartCoordinates(startCoordinates)
              .build();

      JobQuery jobQuery = JobQuery.newBuilder().setCommuteFilter(commuteFilter).build();
      SearchJobsRequest request =
          SearchJobsRequest.newBuilder()
              .setParent(parent.toString())
              .setRequestMetadata(requestMetadata)
              .setJobQuery(jobQuery)
              .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());
      }
    }
  }
}

Node.js

如需了解如何安装和使用 CTS 客户端库，请参阅 CTS 客户端库。 有关详情，请参阅 CTS Node.js API 参考文档。

如需向 CTS 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

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

/** Search Jobs using commute distance */
function sampleSearchJobs(projectId, tenantId) {
  const client = new talent.JobServiceClient();
  // Iterate over all elements.
  // const projectId = 'Your Google Cloud Project ID';
  // const tenantId = 'Your Tenant ID (using tenancy is optional)';
  const formattedParent = client.tenantPath(projectId, tenantId);
  const domain = 'www.example.com';
  const sessionId = 'Hashed session identifier';
  const userId = 'Hashed user identifier';
  const requestMetadata = {
    domain: domain,
    sessionId: sessionId,
    userId: userId,
  };
  const commuteMethod = 'TRANSIT';
  const seconds = 1800;
  const travelDuration = {
    seconds: seconds,
  };
  const latitude = 37.422408;
  const longitude = 122.084068;
  const startCoordinates = {
    latitude: latitude,
    longitude: longitude,
  };
  const commuteFilter = {
    commuteMethod: commuteMethod,
    travelDuration: travelDuration,
    startCoordinates: startCoordinates,
  };
  const jobQuery = {
    commuteFilter: commuteFilter,
  };
  const request = {
    parent: formattedParent,
    requestMetadata: requestMetadata,
    jobQuery: jobQuery,
  };

  client
    .searchJobs(request)
    .then(responses => {
      const resources = responses[0];
      for (const resource of resources) {
        console.log(`Job summary: ${resource.jobSummary}`);
        console.log(`Job title snippet: ${resource.jobTitleSnippet}`);
        const job = resource.job;
        console.log(`Job name: ${job.name}`);
        console.log(`Job title: ${job.title}`);
      }
    })
    .catch(err => {
      console.error(err);
    });
}

Python

如需了解如何安装和使用适用于 CTS 的客户端库，请参阅 CTS 客户端库。 如需了解详情，请参阅 CTS Python API 参考文档。

如需向 CTS 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

from google.cloud import talent


def search_jobs(project_id, tenant_id):
    """Search Jobs using commute distance"""

    client = talent.JobServiceClient()

    # project_id = 'Your Google Cloud Project ID'
    # tenant_id = 'Your Tenant ID (using tenancy is optional)'

    if isinstance(project_id, bytes):
        project_id = project_id.decode("utf-8")
    if isinstance(tenant_id, bytes):
        tenant_id = tenant_id.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 = talent.RequestMetadata(
        domain=domain, session_id=session_id, user_id=user_id
    )
    commute_method = talent.CommuteMethod.TRANSIT
    seconds = 1800
    travel_duration = {"seconds": seconds}
    latitude = 37.422408
    longitude = -122.084068
    start_coordinates = {"latitude": latitude, "longitude": longitude}
    commute_filter = talent.CommuteFilter(
        commute_method=commute_method,
        travel_duration=travel_duration,
        start_coordinates=start_coordinates,
    )
    job_query = talent.JobQuery(commute_filter=commute_filter)

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

必填字段

• commuteMethod：用于计算通勤时间的交通方法。选项包括 DRIVING、TRANSIT、WALKING 和 CYCLING 出行方式。步行和骑行路线可能无法反映现实情况（如施工路段），或不包括专门的步行或自行车道。返回的结果中将包含针对这些响应的 warnings，您必须向用户显示这些信息。

• travelDuration：最长行程时间，以秒为单位。允许的最大值为 3600s（一小时）。格式为 123s。

• startCoordinates：用于计算通勤时间的起始地点的纬度和经度。该字段接受 LatLng 对象。

• roadTraffic 或 departureTime：通勤时间搜索结果基于历史记录数据和汇总数据，而不是实时路况信息。无论用户在一天中的什么时间发送查询，他们都会收到相同的通勤时间搜索结果。

  • roadTraffic：指定计算通勤时间时要使用的车流密度。BUSY_HOUR/TRAFFIC_FREE 选项分别是早高峰时段和午夜的平均路况信息。如果指定了 departureTime，则此字段不得存在。

  • departureTime：用于计算交通影响的出发小时数。接受 0 到 23 之间的整数，表示 startLocation 的时区中的小时。路况信息是根据一天中指定时间的平均路况信息计算得出的。如果指定了 roadTraffic，则此字段不得存在。

可选字段

• allowImpreciseAddresses：“精确”地址定义为街道级地址或 GPS 坐标。如果 allowImpreciseAddresses 设置为 true，也可以返回地址“不精确”（仅包含城市、州/省或国家/地区信息）的职位。对于城市级别和更宽泛级别的地址，API 使用文本匹配来返回结果。如果此字段设置为 false 或未指定，则通勤时间搜索仅返回包含精确地址的职位。

注意：如果将 allowImpreciseAddresses 设置为 true，则“职位搜索”将无法计算提供城市级别和更宽泛级别地址信息的职位的准确通勤时间。地址不精确的职位返回的 travelDuration 时间为 0，无论与求职者的距离如何都是如此。