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.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 JacksonFactory();
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();
}
}
def list_datasets(project_id, location):
"""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."""
# Imports the Google API Discovery Service.
from googleapiclient import discovery
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' # replace with your GCP project ID
# location = 'us-central1' # replace with the location of the datasets
dataset_parent = "projects/{}/locations/{}".format(project_id, location)
datasets = (
client.projects()
.locations()
.datasets()
.list(parent=dataset_parent)
.execute()
.get("datasets", [])
)
for dataset in datasets:
print(
"Dataset: {}\nTime zone: {}".format(
dataset.get("name"), dataset.get("timeZone")
)
)
return datasets