将 DICOM 存储数据导出到 Cloud Storage。
深入探索
如需查看包含此代码示例的详细文档，请参阅以下内容：
代码示例
Go
在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Go 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Go API 参考文档。
如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。
import (
"context"
"fmt"
"io"
healthcare "google.golang.org/api/healthcare/v1"
)
// exportDICOMInstance exports DICOM objects to GCS.
func exportDICOMInstance(w io.Writer, projectID, location, datasetID, dicomStoreID, destination string) error {
ctx := context.Background()
healthcareService, err := healthcare.NewService(ctx)
if err != nil {
return fmt.Errorf("healthcare.NewService: %w", err)
}
storesService := healthcareService.Projects.Locations.Datasets.DicomStores
req := &healthcare.ExportDicomDataRequest{
GcsDestination: &healthcare.GoogleCloudHealthcareV1DicomGcsDestination{
UriPrefix: destination, // "gs://my-bucket/path/to/prefix/"
},
}
name := fmt.Sprintf("projects/%s/locations/%s/datasets/%s/dicomStores/%s", projectID, location, datasetID, dicomStoreID)
lro, err := storesService.Export(name, req).Do()
if err != nil {
return fmt.Errorf("Export: %w", err)
}
fmt.Fprintf(w, "Export to DICOM store started. Operation: %q\n", lro.Name)
return nil
}
Java
在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Java 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Java API 参考文档。
如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。
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.DicomStores;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.api.services.healthcare.v1.model.ExportDicomDataRequest;
import com.google.api.services.healthcare.v1.model.GoogleCloudHealthcareV1DicomGcsDestination;
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 DicomStoreExport {
private static final String DICOM_NAME = "projects/%s/locations/%s/datasets/%s/dicomStores/%s";
private static final JsonFactory JSON_FACTORY = new GsonFactory();
private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();
public static void dicomStoreExport(String dicomStoreName, String gcsUri) throws IOException {
// String dicomStoreName =
// String.format(
// DICOM_NAME, "your-project-id", "your-region-id", "your-dataset-id", "your-dicom-id");
// String gcsUri = "gs://your-bucket-id/path/to/destination/dir"
// Initialize the client, which will be used to interact with the service.
CloudHealthcare client = createClient();
// Configure where the store will be exported too.
GoogleCloudHealthcareV1DicomGcsDestination gcsDestination =
new GoogleCloudHealthcareV1DicomGcsDestination().setUriPrefix(gcsUri);
ExportDicomDataRequest exportRequest =
new ExportDicomDataRequest().setGcsDestination(gcsDestination);
// Create request and configure any parameters.
DicomStores.Export request =
client
.projects()
.locations()
.datasets()
.dicomStores()
.export(dicomStoreName, exportRequest);
// Execute the request, wait for the operation to complete, and process the results.
try {
Operation operation = request.execute();
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("DICOM store export complete." + operation.getResponse());
} catch (Exception ex) {
System.out.printf("Error during request execution: %s", 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
在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Node.js 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Node.js API 参考文档。
如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。
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 exportDicomInstanceGcs = async () => {
// TODO(developer): uncomment these lines before running the sample
// const cloudRegion = 'us-central1';
// const projectId = 'adjective-noun-123';
// const datasetId = 'my-dataset';
// const dicomStoreId = 'my-dicom-store';
// const gcsUri = 'my-bucket/my-directory'
const name = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}/dicomStores/${dicomStoreId}`;
const request = {
name,
resource: {
gcsDestination: {
// The destination location of the DICOM instances in Cloud Storage
uriPrefix: `gs://${gcsUri}`,
// The format to use for the output files, per the MIME types supported in the DICOM spec
mimeType: 'application/dicom',
},
},
};
await healthcare.projects.locations.datasets.dicomStores.export(request);
console.log(`Exported DICOM instances to ${gcsUri}`);
};
exportDicomInstanceGcs();Python
在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Python 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Python API 参考文档。
如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。
def export_dicom_instance(project_id, location, dataset_id, dicom_store_id, uri_prefix):
"""Export data to a Google Cloud Storage bucket by copying
it from the DICOM store.
See https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/healthcare/api-client/v1/dicom
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 parent dataset's location
# dataset_id = 'my-dataset' # replace with the DICOM store's parent dataset ID
# dicom_store_id = 'my-dicom-store' # replace with the DICOM store's ID
# uri_prefix = 'my-bucket' # replace with a Cloud Storage bucket
dicom_store_parent = "projects/{}/locations/{}/datasets/{}".format(
project_id, location, dataset_id
)
dicom_store_name = f"{dicom_store_parent}/dicomStores/{dicom_store_id}"
body = {"gcsDestination": {"uriPrefix": f"gs://{uri_prefix}"}}
request = (
client.projects()
.locations()
.datasets()
.dicomStores()
.export(name=dicom_store_name, body=body)
)
response = request.execute()
print(f"Exported DICOM instances to bucket: gs://{uri_prefix}")
return response
后续步骤
如需搜索和过滤其他 Google Cloud 产品的代码示例，请参阅 Google Cloud 示例浏览器。