Mendapatkan set data

Mendapatkan detail set data.

Mempelajari lebih lanjut

Untuk dokumentasi mendetail yang menyertakan contoh kode ini, lihat artikel berikut:

Contoh kode

Go

Sebelum mencoba contoh ini, ikuti petunjuk penyiapan Go di panduan memulai Cloud Healthcare API menggunakan library klien. Untuk mengetahui informasi selengkapnya, lihat dokumentasi referensi API Go Cloud Healthcare API.

Untuk melakukan autentikasi ke Cloud Healthcare API, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, lihat Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

import (
	"context"
	"fmt"
	"io"

	healthcare "google.golang.org/api/healthcare/v1"
)

// getDataset gets a dataset.
func getDataset(w io.Writer, projectID, location, datasetID string) error {
	ctx := context.Background()

	healthcareService, err := healthcare.NewService(ctx)
	if err != nil {
		return fmt.Errorf("healthcare.NewService: %w", err)
	}

	datasetsService := healthcareService.Projects.Locations.Datasets

	name := fmt.Sprintf("projects/%s/locations/%s/datasets/%s", projectID, location, datasetID)

	resp, err := datasetsService.Get(name).Do()
	if err != nil {
		return fmt.Errorf("Get: %w", err)
	}

	fmt.Fprintf(w, "Name: %s\n", resp.Name)
	fmt.Fprintf(w, "Time zone: %s\n", resp.TimeZone)

	return nil
}

Java

Sebelum mencoba contoh ini, ikuti petunjuk penyiapan Java di panduan memulai Cloud Healthcare API menggunakan library klien. Untuk mengetahui informasi selengkapnya, lihat dokumentasi referensi API Java Cloud Healthcare API.

Untuk melakukan autentikasi ke Cloud Healthcare API, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, lihat Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

import com.google.api.client.http.HttpRequestInitializer;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.gson.GsonFactory;
import com.google.api.services.healthcare.v1.CloudHealthcare;
import com.google.api.services.healthcare.v1.CloudHealthcare.Projects.Locations.Datasets;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.api.services.healthcare.v1.model.Dataset;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.IOException;
import java.util.Collections;

public class DatasetGet {
  private static final String DATASET_NAME = "projects/%s/locations/%s/datasets/%s";
  private static final JsonFactory JSON_FACTORY = new GsonFactory();
  private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();

  public static void datasetGet(String datasetName) throws IOException {
    // String datasetName =
    //     String.format(DATASET_NAME, "your-project-id", "your-region-id", "your-dataset-id");

    // Initialize the client, which will be used to interact with the service.
    CloudHealthcare client = createClient();

    // Create request and configure any parameters.
    Datasets.Get request = client.projects().locations().datasets().get(datasetName);

    // Execute the request and process the results.
    Dataset dataset = request.execute();
    System.out.println("Dataset retrieved: \n" + dataset.toPrettyString());
  }

  private static CloudHealthcare createClient() throws IOException {
    // Use Application Default Credentials (ADC) to authenticate the requests
    // For more information see https://cloud.google.com/docs/authentication/production
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    // Create a HttpRequestInitializer, which will provide a baseline configuration to all requests.
    HttpRequestInitializer requestInitializer =
        request -> {
          new HttpCredentialsAdapter(credential).initialize(request);
          request.setConnectTimeout(60000); // 1 minute connect timeout
          request.setReadTimeout(60000); // 1 minute read timeout
        };

    // Build the client for interacting with the service.
    return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
        .setApplicationName("your-application-name")
        .build();
  }
}

Node.js

Sebelum mencoba contoh ini, ikuti petunjuk penyiapan Node.js di panduan memulai Cloud Healthcare API menggunakan library klien. Untuk mengetahui informasi selengkapnya, lihat dokumentasi referensi API Node.js Cloud Healthcare API.

Untuk melakukan autentikasi ke Cloud Healthcare API, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, lihat Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

const google = require('@googleapis/healthcare');
const healthcare = google.healthcare({
  version: 'v1',
  auth: new google.auth.GoogleAuth({
    scopes: ['https://www.googleapis.com/auth/cloud-platform'],
  }),
});

const getDataset = async () => {
  // TODO(developer): uncomment these lines before running the sample
  // const cloudRegion = 'us-central1';
  // const projectId = 'adjective-noun-123';
  // const datasetId = 'my-dataset';
  const parent = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}`;
  const request = {name: parent};

  const dataset = await healthcare.projects.locations.datasets.get(request);
  console.log(dataset.data);
};

getDataset();

Python

Sebelum mencoba contoh ini, ikuti petunjuk penyiapan Python di panduan memulai Cloud Healthcare API menggunakan library klien. Untuk mengetahui informasi selengkapnya, lihat dokumentasi referensi API Python Cloud Healthcare API.

Untuk melakukan autentikasi ke Cloud Healthcare API, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, lihat Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

# Imports the Dict type for runtime type hints.
from typing import Dict


def get_dataset(project_id: str, location: str, dataset_id: str) -> Dict[str, str]:
    """Gets any metadata associated with a dataset.

    See
    https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/healthcare/api-client/v1/datasets
    before running the sample.
    See https://googleapis.github.io/google-api-python-client/docs/dyn/healthcare_v1.projects.locations.datasets.html#get
    for the Python API reference.

    Args:
      project_id: The project ID or project number of the Google Cloud project you want
          to use.
      location: The name of the dataset's location.
      dataset_id: The name of the dataset to get.

    Returns:
      A dictionary representing a Dataset resource.
    """
    # Imports HttpError from the Google Python API client errors module.
    # Imports the Google API Discovery Service.
    from googleapiclient import discovery
    from googleapiclient.errors import HttpError

    api_version = "v1"
    service_name = "healthcare"
    # Returns an authorized API client by discovering the Healthcare API
    # and using GOOGLE_APPLICATION_CREDENTIALS environment variable.
    client = discovery.build(service_name, api_version)

    # TODO(developer): Uncomment these lines and replace with your values.
    # project_id = 'my-project'
    # location = 'us-central1'
    # dataset_id = 'my-dataset'
    dataset_name = f"projects/{project_id}/locations/{location}/datasets/{dataset_id}"

    request = client.projects().locations().datasets()

    try:
        dataset = request.get(name=dataset_name).execute()
        print(f"Name: {dataset.get('name')}")
        return dataset
    except HttpError as err:
        raise err

Langkah selanjutnya

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