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

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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

如需详细了解如何安装和创建 Cloud Talent Solution 客户端，请参阅 Cloud Talent Solution 客户端库。

在 GitHub 上查看反馈


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

如需详细了解如何安装和创建 Cloud Talent Solution 客户端，请参阅 Cloud Talent Solution 客户端库。

在 GitHub 上查看反馈


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

如需详细了解如何安装和创建 Cloud Talent Solution 客户端，请参阅 Cloud Talent Solution 客户端库。

在 GitHub 上查看反馈


from google.cloud import talent
import six

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