Dicom
A DicomStore is a datastore inside a Healthcare dataset that conforms to the DICOM (https://www.dicomstandard.org/about/) standard for Healthcare information exchange To get more information about DicomStore, see:
How-to Guides
Example Usage
Healthcare Dicom Store Basic
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.pubsub.Topic;
import com.pulumi.gcp.healthcare.Dataset;
import com.pulumi.gcp.healthcare.DatasetArgs;
import com.pulumi.gcp.healthcare.DicomStore;
import com.pulumi.gcp.healthcare.DicomStoreArgs;
import com.pulumi.gcp.healthcare.inputs.DicomStoreNotificationConfigArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
var topic = new Topic("topic");
var dataset = new Dataset("dataset", DatasetArgs.builder()
.location("us-central1")
.build());
var default_ = new DicomStore("default", DicomStoreArgs.builder()
.dataset(dataset.id())
.notificationConfig(DicomStoreNotificationConfigArgs.builder()
.pubsubTopic(topic.id())
.build())
.labels(Map.of("label1", "labelvalue1"))
.build());
}
}Healthcare Dicom Store Bq Stream
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.pubsub.Topic;
import com.pulumi.gcp.pubsub.TopicArgs;
import com.pulumi.gcp.healthcare.Dataset;
import com.pulumi.gcp.healthcare.DatasetArgs;
import com.pulumi.gcp.bigquery.Dataset;
import com.pulumi.gcp.bigquery.DatasetArgs;
import com.pulumi.gcp.bigquery.Table;
import com.pulumi.gcp.bigquery.TableArgs;
import com.pulumi.gcp.healthcare.DicomStore;
import com.pulumi.gcp.healthcare.DicomStoreArgs;
import com.pulumi.gcp.healthcare.inputs.DicomStoreNotificationConfigArgs;
import com.pulumi.gcp.healthcare.inputs.DicomStoreStreamConfigArgs;
import com.pulumi.gcp.healthcare.inputs.DicomStoreStreamConfigBigqueryDestinationArgs;
import com.pulumi.resources.CustomResourceOptions;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
var topic = new Topic("topic", TopicArgs.Empty, CustomResourceOptions.builder()
.provider(google_beta)
.build());
var dataset = new Dataset("dataset", DatasetArgs.builder()
.location("us-central1")
.build(), CustomResourceOptions.builder()
.provider(google_beta)
.build());
var bqDataset = new Dataset("bqDataset", DatasetArgs.builder()
.datasetId("dicom_bq_ds")
.friendlyName("test")
.description("This is a test description")
.location("US")
.deleteContentsOnDestroy(true)
.build(), CustomResourceOptions.builder()
.provider(google_beta)
.build());
var bqTable = new Table("bqTable", TableArgs.builder()
.deletionProtection(false)
.datasetId(bqDataset.datasetId())
.tableId("dicom_bq_tb")
.build(), CustomResourceOptions.builder()
.provider(google_beta)
.build());
var default_ = new DicomStore("default", DicomStoreArgs.builder()
.dataset(dataset.id())
.notificationConfig(DicomStoreNotificationConfigArgs.builder()
.pubsubTopic(topic.id())
.build())
.labels(Map.of("label1", "labelvalue1"))
.streamConfigs(DicomStoreStreamConfigArgs.builder()
.bigqueryDestination(DicomStoreStreamConfigBigqueryDestinationArgs.builder()
.tableUri(Output.tuple(bqDataset.project(), bqDataset.datasetId(), bqTable.tableId()).applyValue(values -> {
var project = values.t1;
var datasetId = values.t2;
var tableId = values.t3;
return String.format("bq://%s.%s.%s", project,datasetId,tableId);
}))
.build())
.build())
.build(), CustomResourceOptions.builder()
.provider(google_beta)
.build());
}
}Import
DicomStore can be imported using any of these accepted formats
$ pulumi import gcp:healthcare/dicomStore:DicomStore default {{dataset}}/dicomStores/{{name}}$ pulumi import gcp:healthcare/dicomStore:DicomStore default {{dataset}}/{{name}}Properties
User-supplied key-value pairs used to organize DICOM stores. Label keys must be between 1 and 63 characters long, have a UTF-8 encoding of maximum 128 bytes, and must conform to the following PCRE regular expression: \p{Ll}\p{Lo}\p{N}_-{0,62} Label values are optional, must be between 1 and 63 characters long, have a UTF-8 encoding of maximum 128 bytes, and must conform to the following PCRE regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63} No more than 64 labels can be associated with a given store. An object containing a list of "key": value pairs. Example: { "name": "wrench", "mass": "1.3kg", "count": "3" }.
To enable streaming to BigQuery, configure the streamConfigs object in your DICOM store. streamConfigs is an array, so you can specify multiple BigQuery destinations. You can stream metadata from a single DICOM store to up to five BigQuery tables in a BigQuery dataset. Structure is documented below.