Crear un conjunto de datos
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Para obtener documentación detallada en la que se incluye esta muestra de código, consulta lo siguiente:
Muestra de código
Go
import (
"context"
"fmt"
"io"
"time"
healthcare "google.golang.org/api/healthcare/v1"
)
// createDataset creates a dataset.
func createDataset(w io.Writer, projectID, location, datasetID string) error {
// Set a deadline for the dataset to become initialized.
ctx, cancel := context.WithTimeout(context.Background(), 2*time.Minute)
defer cancel()
healthcareService, err := healthcare.NewService(ctx)
if err != nil {
return fmt.Errorf("healthcare.NewService: %v", err)
}
datasetsService := healthcareService.Projects.Locations.Datasets
parent := fmt.Sprintf("projects/%s/locations/%s", projectID, location)
resp, err := datasetsService.Create(parent, &healthcare.Dataset{}).DatasetId(datasetID).Context(ctx).Do()
if err != nil {
return fmt.Errorf("Create: %v", err)
}
// The dataset is not always ready to use immediately, instead a long-running operation is returned.
// This is how you might poll the operation to ensure the dataset is fully initialized before proceeding.
// Initialization usually takes less than a minute.
for !resp.Done {
time.Sleep(15 * time.Second)
resp, err = datasetsService.Operations.Get(resp.Name).Context(ctx).Do()
if err != nil {
return fmt.Errorf("Operations.Get(%s): %w", resp.Name, err)
}
}
fmt.Fprintf(w, "Created dataset: %q\n", resp.Name)
return nil
}
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.jackson2.JacksonFactory;
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.Operation;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.IOException;
import java.util.Collections;
public class DatasetCreate {
private static final String DATASET_NAME = "projects/%s/locations/%s/datasets/%s";
private static final JsonFactory JSON_FACTORY = new JacksonFactory();
private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();
public static void datasetCreate(String projectId, String regionId, String datasetId)
throws IOException {
// String projectId = "your-project-id";
// String regionId = "us-central1";
// String datasetId = "your-dataset-id";
// Initialize the client, which will be used to interact with the service.
CloudHealthcare client = createClient();
// Configure the dataset to be created.
Dataset dataset = new Dataset();
dataset.setTimeZone("America/Chicago");
// Create request and configure any parameters.
String parentName = String.format("projects/%s/locations/%s", projectId, regionId);
Datasets.Create request = client.projects().locations().datasets().create(parentName, dataset);
request.setDatasetId(datasetId);
// Execute the request, wait for the operation to complete, and process the results.
try {
Operation operation = request.execute();
System.out.println(operation.toPrettyString());
while (operation.getDone() == null || !operation.getDone()) {
// Update the status of the operation with another request.
Thread.sleep(500); // Pause for 500ms between requests.
operation =
client
.projects()
.locations()
.datasets()
.operations()
.get(operation.getName())
.execute();
}
System.out.println("Dataset created. Response content: " + operation.getResponse());
} catch (Exception ex) {
System.out.printf("Error during request execution: %s\n", ex.toString());
ex.printStackTrace(System.out);
}
}
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
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 createDataset = 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}`;
const request = {parent, datasetId};
await healthcare.projects.locations.datasets.create(request);
console.log(`Created dataset: ${datasetId}`);
};
createDataset();Python
def create_dataset(project_id, location, dataset_id):
"""Creates a dataset.
See https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/healthcare/api-client/v1/datasets
before running the sample."""
# Imports the Google API Discovery Service.
from googleapiclient import discovery
api_version = "v1"
service_name = "healthcare"
# Instantiates 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' # replace with your GCP project ID
# location = 'us-central1' # replace with the dataset's location
# dataset_id = 'my-dataset' # replace with your dataset ID
dataset_parent = "projects/{}/locations/{}".format(project_id, location)
request = (
client.projects()
.locations()
.datasets()
.create(parent=dataset_parent, body={}, datasetId=dataset_id)
)
response = request.execute()
print("Created dataset: {}".format(dataset_id))
return response
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