Creazione di un elenco di set di dati

Elenca i set di dati in una località.

Per saperne di più

Per la documentazione dettagliata che include questo esempio di codice, vedi quanto segue:

Crea e gestisci set di dati

Esempio di codice

Go

Prima di provare questo esempio, segui le istruzioni di configurazione di Go riportate nella guida rapida dell'API Cloud Healthcare utilizzando le librerie client. Per maggiori informazioni, consulta la documentazione di riferimento dell'API Cloud Healthcare Go.

Per eseguire l'autenticazione all'API Cloud Healthcare, configura le Credenziali predefinite dell'applicazione. Per maggiori informazioni, consulta Configurare l'autenticazione per un ambiente di sviluppo locale.

import (
	"context"
	"fmt"
	"io"

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

// listDatasets prints a list of datasets to w.
func listDatasets(w io.Writer, projectID string, location 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

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

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

	fmt.Fprintln(w, "Datasets:")
	for _, d := range resp.Datasets {
		fmt.Fprintln(w, d.Name)
	}

	return nil
}

Java

Prima di provare questo esempio, segui le istruzioni di configurazione di Java riportate nella guida rapida dell'API Cloud Healthcare utilizzando le librerie client. Per maggiori informazioni, consulta la documentazione di riferimento dell'API Cloud Healthcare Java.

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.api.services.healthcare.v1.model.ListDatasetsResponse;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;

public class DatasetList {
  private static final JsonFactory JSON_FACTORY = new GsonFactory();
  private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();

  public static void datasetList(String projectId, String regionId) throws IOException {
    // String projectId = "your-project-id";
    // String regionId = "us-central1";

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

    // Results are paginated, so multiple queries may be required.
    String parentName = String.format("projects/%s/locations/%s", projectId, regionId);
    String pageToken = null;
    List<Dataset> datasets = new ArrayList<>();
    do {
      // Create request and configure any parameters.
      Datasets.List request =
          client
              .projects()
              .locations()
              .datasets()
              .list(parentName)
              .setPageSize(100) // Specify pageSize up to 1000
              .setPageToken(pageToken);

      // Execute response and collect results.
      ListDatasetsResponse response = request.execute();
      datasets.addAll(response.getDatasets());

      // Update the page token for the next request.
      pageToken = response.getNextPageToken();
    } while (pageToken != null);

    // Print results.
    System.out.printf("Retrieved %s datasets: \n", datasets.size());
    for (Dataset data : datasets) {
      System.out.println("\t" + data.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

Prima di provare questo esempio, segui le istruzioni di configurazione di Node.js riportate nella guida rapida dell'API Cloud Healthcare utilizzando le librerie client. Per maggiori informazioni, consulta la documentazione di riferimento dell'API Cloud Healthcare Node.js.

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

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

listDatasets();

Python

Prima di provare questo esempio, segui le istruzioni di configurazione di Python riportate nella guida rapida dell'API Cloud Healthcare utilizzando le librerie client. Per maggiori informazioni, consulta la documentazione di riferimento dell'API Cloud Healthcare Python.

# Imports the Dict and List types for runtime type hints.
from typing import Dict, List

def list_datasets(project_id: str, location: str) -> List[Dict[str, str]]:
    """Lists the datasets in the project.

    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#list
    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 location where the datasets are located.

    Returns:
      A list of Dataset resources.
    """
    # 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_parent = f"projects/{project_id}/locations/{location}"

    datasets = []
    request = client.projects().locations().datasets().list(parent=dataset_parent)
    while request is not None:
        try:
            response = request.execute()
            if response and "datasets" in response:
                datasets.extend(response["datasets"])
            # Paginate over results until the list_next() function returns None.
            request = (
                client.projects()
                .locations()
                .datasets()
                .list_next(previous_request=request, previous_response=response)
            )

            for dataset in datasets:
                print(
                    f"Dataset: {dataset.get('name')}\nTime zone: {dataset.get('timeZone')}"
                )

            return datasets

        except HttpError as err:
            raise err

Passaggi successivi

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