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Build cloud applications and infrastructure by combining the safety and reliability of infrastructure as code with the power of the Kotlin programming language.
@file:Suppress("NAME_SHADOWING", "DEPRECATION")
package com.pulumi.gcp.healthcare.kotlin
import com.pulumi.core.Output
import com.pulumi.core.Output.of
import com.pulumi.gcp.healthcare.DicomStoreArgs.builder
import com.pulumi.gcp.healthcare.kotlin.inputs.DicomStoreNotificationConfigArgs
import com.pulumi.gcp.healthcare.kotlin.inputs.DicomStoreNotificationConfigArgsBuilder
import com.pulumi.gcp.healthcare.kotlin.inputs.DicomStoreStreamConfigArgs
import com.pulumi.gcp.healthcare.kotlin.inputs.DicomStoreStreamConfigArgsBuilder
import com.pulumi.kotlin.ConvertibleToJava
import com.pulumi.kotlin.PulumiTagMarker
import com.pulumi.kotlin.applySuspend
import kotlin.Pair
import kotlin.String
import kotlin.Suppress
import kotlin.Unit
import kotlin.collections.List
import kotlin.collections.Map
import kotlin.jvm.JvmName
/**
* 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:
* * [API documentation](https://cloud.google.com/healthcare/docs/reference/rest/v1/projects.locations.datasets.dicomStores)
* * How-to Guides
* * [Creating a DICOM store](https://cloud.google.com/healthcare/docs/how-tos/dicom)
* ## Example Usage
* ### Healthcare Dicom Store Basic
*
* ```typescript
* import * as pulumi from "@pulumi/pulumi";
* import * as gcp from "@pulumi/gcp";
* const topic = new gcp.pubsub.Topic("topic", {name: "dicom-notifications"});
* const dataset = new gcp.healthcare.Dataset("dataset", {
* name: "example-dataset",
* location: "us-central1",
* });
* const _default = new gcp.healthcare.DicomStore("default", {
* name: "example-dicom-store",
* dataset: dataset.id,
* notificationConfig: {
* pubsubTopic: topic.id,
* },
* labels: {
* label1: "labelvalue1",
* },
* });
* ```
* ```python
* import pulumi
* import pulumi_gcp as gcp
* topic = gcp.pubsub.Topic("topic", name="dicom-notifications")
* dataset = gcp.healthcare.Dataset("dataset",
* name="example-dataset",
* location="us-central1")
* default = gcp.healthcare.DicomStore("default",
* name="example-dicom-store",
* dataset=dataset.id,
* notification_config=gcp.healthcare.DicomStoreNotificationConfigArgs(
* pubsub_topic=topic.id,
* ),
* labels={
* "label1": "labelvalue1",
* })
* ```
* ```csharp
* using System.Collections.Generic;
* using System.Linq;
* using Pulumi;
* using Gcp = Pulumi.Gcp;
* return await Deployment.RunAsync(() =>
* {
* var topic = new Gcp.PubSub.Topic("topic", new()
* {
* Name = "dicom-notifications",
* });
* var dataset = new Gcp.Healthcare.Dataset("dataset", new()
* {
* Name = "example-dataset",
* Location = "us-central1",
* });
* var @default = new Gcp.Healthcare.DicomStore("default", new()
* {
* Name = "example-dicom-store",
* Dataset = dataset.Id,
* NotificationConfig = new Gcp.Healthcare.Inputs.DicomStoreNotificationConfigArgs
* {
* PubsubTopic = topic.Id,
* },
* Labels =
* {
* { "label1", "labelvalue1" },
* },
* });
* });
* ```
* ```go
* package main
* import (
* "github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/healthcare"
* "github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/pubsub"
* "github.com/pulumi/pulumi/sdk/v3/go/pulumi"
* )
* func main() {
* pulumi.Run(func(ctx *pulumi.Context) error {
* topic, err := pubsub.NewTopic(ctx, "topic", &pubsub.TopicArgs{
* Name: pulumi.String("dicom-notifications"),
* })
* if err != nil {
* return err
* }
* dataset, err := healthcare.NewDataset(ctx, "dataset", &healthcare.DatasetArgs{
* Name: pulumi.String("example-dataset"),
* Location: pulumi.String("us-central1"),
* })
* if err != nil {
* return err
* }
* _, err = healthcare.NewDicomStore(ctx, "default", &healthcare.DicomStoreArgs{
* Name: pulumi.String("example-dicom-store"),
* Dataset: dataset.ID(),
* NotificationConfig: &healthcare.DicomStoreNotificationConfigArgs{
* PubsubTopic: topic.ID(),
* },
* Labels: pulumi.StringMap{
* "label1": pulumi.String("labelvalue1"),
* },
* })
* if err != nil {
* return err
* }
* return nil
* })
* }
* ```
* ```java
* 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.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", TopicArgs.builder()
* .name("dicom-notifications")
* .build());
* var dataset = new Dataset("dataset", DatasetArgs.builder()
* .name("example-dataset")
* .location("us-central1")
* .build());
* var default_ = new DicomStore("default", DicomStoreArgs.builder()
* .name("example-dicom-store")
* .dataset(dataset.id())
* .notificationConfig(DicomStoreNotificationConfigArgs.builder()
* .pubsubTopic(topic.id())
* .build())
* .labels(Map.of("label1", "labelvalue1"))
* .build());
* }
* }
* ```
* ```yaml
* resources:
* default:
* type: gcp:healthcare:DicomStore
* properties:
* name: example-dicom-store
* dataset: ${dataset.id}
* notificationConfig:
* pubsubTopic: ${topic.id}
* labels:
* label1: labelvalue1
* topic:
* type: gcp:pubsub:Topic
* properties:
* name: dicom-notifications
* dataset:
* type: gcp:healthcare:Dataset
* properties:
* name: example-dataset
* location: us-central1
* ```
*
* ### Healthcare Dicom Store Bq Stream
*
* ```typescript
* import * as pulumi from "@pulumi/pulumi";
* import * as gcp from "@pulumi/gcp";
* const topic = new gcp.pubsub.Topic("topic", {name: "dicom-notifications"});
* const dataset = new gcp.healthcare.Dataset("dataset", {
* name: "example-dataset",
* location: "us-central1",
* });
* const bqDataset = new gcp.bigquery.Dataset("bq_dataset", {
* datasetId: "dicom_bq_ds",
* friendlyName: "test",
* description: "This is a test description",
* location: "US",
* deleteContentsOnDestroy: true,
* });
* const bqTable = new gcp.bigquery.Table("bq_table", {
* deletionProtection: false,
* datasetId: bqDataset.datasetId,
* tableId: "dicom_bq_tb",
* });
* const _default = new gcp.healthcare.DicomStore("default", {
* name: "example-dicom-store",
* dataset: dataset.id,
* notificationConfig: {
* pubsubTopic: topic.id,
* },
* labels: {
* label1: "labelvalue1",
* },
* streamConfigs: [{
* bigqueryDestination: {
* tableUri: pulumi.interpolate`bq://${bqDataset.project}.${bqDataset.datasetId}.${bqTable.tableId}`,
* },
* }],
* });
* ```
* ```python
* import pulumi
* import pulumi_gcp as gcp
* topic = gcp.pubsub.Topic("topic", name="dicom-notifications")
* dataset = gcp.healthcare.Dataset("dataset",
* name="example-dataset",
* location="us-central1")
* bq_dataset = gcp.bigquery.Dataset("bq_dataset",
* dataset_id="dicom_bq_ds",
* friendly_name="test",
* description="This is a test description",
* location="US",
* delete_contents_on_destroy=True)
* bq_table = gcp.bigquery.Table("bq_table",
* deletion_protection=False,
* dataset_id=bq_dataset.dataset_id,
* table_id="dicom_bq_tb")
* default = gcp.healthcare.DicomStore("default",
* name="example-dicom-store",
* dataset=dataset.id,
* notification_config=gcp.healthcare.DicomStoreNotificationConfigArgs(
* pubsub_topic=topic.id,
* ),
* labels={
* "label1": "labelvalue1",
* },
* stream_configs=[gcp.healthcare.DicomStoreStreamConfigArgs(
* bigquery_destination=gcp.healthcare.DicomStoreStreamConfigBigqueryDestinationArgs(
* table_uri=pulumi.Output.all(bq_dataset.project, bq_dataset.dataset_id, bq_table.table_id).apply(lambda project, dataset_id, table_id: f"bq://{project}.{dataset_id}.{table_id}"),
* ),
* )])
* ```
* ```csharp
* using System.Collections.Generic;
* using System.Linq;
* using Pulumi;
* using Gcp = Pulumi.Gcp;
* return await Deployment.RunAsync(() =>
* {
* var topic = new Gcp.PubSub.Topic("topic", new()
* {
* Name = "dicom-notifications",
* });
* var dataset = new Gcp.Healthcare.Dataset("dataset", new()
* {
* Name = "example-dataset",
* Location = "us-central1",
* });
* var bqDataset = new Gcp.BigQuery.Dataset("bq_dataset", new()
* {
* DatasetId = "dicom_bq_ds",
* FriendlyName = "test",
* Description = "This is a test description",
* Location = "US",
* DeleteContentsOnDestroy = true,
* });
* var bqTable = new Gcp.BigQuery.Table("bq_table", new()
* {
* DeletionProtection = false,
* DatasetId = bqDataset.DatasetId,
* TableId = "dicom_bq_tb",
* });
* var @default = new Gcp.Healthcare.DicomStore("default", new()
* {
* Name = "example-dicom-store",
* Dataset = dataset.Id,
* NotificationConfig = new Gcp.Healthcare.Inputs.DicomStoreNotificationConfigArgs
* {
* PubsubTopic = topic.Id,
* },
* Labels =
* {
* { "label1", "labelvalue1" },
* },
* StreamConfigs = new[]
* {
* new Gcp.Healthcare.Inputs.DicomStoreStreamConfigArgs
* {
* BigqueryDestination = new Gcp.Healthcare.Inputs.DicomStoreStreamConfigBigqueryDestinationArgs
* {
* TableUri = Output.Tuple(bqDataset.Project, bqDataset.DatasetId, bqTable.TableId).Apply(values =>
* {
* var project = values.Item1;
* var datasetId = values.Item2;
* var tableId = values.Item3;
* return $"bq://{project}.{datasetId}.{tableId}";
* }),
* },
* },
* },
* });
* });
* ```
* ```go
* package main
* import (
* "fmt"
* "github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/bigquery"
* "github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/healthcare"
* "github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/pubsub"
* "github.com/pulumi/pulumi/sdk/v3/go/pulumi"
* )
* func main() {
* pulumi.Run(func(ctx *pulumi.Context) error {
* topic, err := pubsub.NewTopic(ctx, "topic", &pubsub.TopicArgs{
* Name: pulumi.String("dicom-notifications"),
* })
* if err != nil {
* return err
* }
* dataset, err := healthcare.NewDataset(ctx, "dataset", &healthcare.DatasetArgs{
* Name: pulumi.String("example-dataset"),
* Location: pulumi.String("us-central1"),
* })
* if err != nil {
* return err
* }
* bqDataset, err := bigquery.NewDataset(ctx, "bq_dataset", &bigquery.DatasetArgs{
* DatasetId: pulumi.String("dicom_bq_ds"),
* FriendlyName: pulumi.String("test"),
* Description: pulumi.String("This is a test description"),
* Location: pulumi.String("US"),
* DeleteContentsOnDestroy: pulumi.Bool(true),
* })
* if err != nil {
* return err
* }
* bqTable, err := bigquery.NewTable(ctx, "bq_table", &bigquery.TableArgs{
* DeletionProtection: pulumi.Bool(false),
* DatasetId: bqDataset.DatasetId,
* TableId: pulumi.String("dicom_bq_tb"),
* })
* if err != nil {
* return err
* }
* _, err = healthcare.NewDicomStore(ctx, "default", &healthcare.DicomStoreArgs{
* Name: pulumi.String("example-dicom-store"),
* Dataset: dataset.ID(),
* NotificationConfig: &healthcare.DicomStoreNotificationConfigArgs{
* PubsubTopic: topic.ID(),
* },
* Labels: pulumi.StringMap{
* "label1": pulumi.String("labelvalue1"),
* },
* StreamConfigs: healthcare.DicomStoreStreamConfigArray{
* &healthcare.DicomStoreStreamConfigArgs{
* BigqueryDestination: &healthcare.DicomStoreStreamConfigBigqueryDestinationArgs{
* TableUri: pulumi.All(bqDataset.Project, bqDataset.DatasetId, bqTable.TableId).ApplyT(func(_args []interface{}) (string, error) {
* project := _args[0].(string)
* datasetId := _args[1].(string)
* tableId := _args[2].(string)
* return fmt.Sprintf("bq://%v.%v.%v", project, datasetId, tableId), nil
* }).(pulumi.StringOutput),
* },
* },
* },
* })
* if err != nil {
* return err
* }
* return nil
* })
* }
* ```
* ```java
* 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 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.builder()
* .name("dicom-notifications")
* .build());
* var dataset = new Dataset("dataset", DatasetArgs.builder()
* .name("example-dataset")
* .location("us-central1")
* .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());
* var bqTable = new Table("bqTable", TableArgs.builder()
* .deletionProtection(false)
* .datasetId(bqDataset.datasetId())
* .tableId("dicom_bq_tb")
* .build());
* var default_ = new DicomStore("default", DicomStoreArgs.builder()
* .name("example-dicom-store")
* .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());
* }
* }
* ```
* ```yaml
* resources:
* default:
* type: gcp:healthcare:DicomStore
* properties:
* name: example-dicom-store
* dataset: ${dataset.id}
* notificationConfig:
* pubsubTopic: ${topic.id}
* labels:
* label1: labelvalue1
* streamConfigs:
* - bigqueryDestination:
* tableUri: bq://${bqDataset.project}.${bqDataset.datasetId}.${bqTable.tableId}
* topic:
* type: gcp:pubsub:Topic
* properties:
* name: dicom-notifications
* dataset:
* type: gcp:healthcare:Dataset
* properties:
* name: example-dataset
* location: us-central1
* bqDataset:
* type: gcp:bigquery:Dataset
* name: bq_dataset
* properties:
* datasetId: dicom_bq_ds
* friendlyName: test
* description: This is a test description
* location: US
* deleteContentsOnDestroy: true
* bqTable:
* type: gcp:bigquery:Table
* name: bq_table
* properties:
* deletionProtection: false
* datasetId: ${bqDataset.datasetId}
* tableId: dicom_bq_tb
* ```
*
* ## Import
* DicomStore can be imported using any of these accepted formats:
* * `{{dataset}}/dicomStores/{{name}}`
* * `{{dataset}}/{{name}}`
* When using the `pulumi import` command, DicomStore can be imported using one of the formats above. For example:
* ```sh
* $ pulumi import gcp:healthcare/dicomStore:DicomStore default {{dataset}}/dicomStores/{{name}}
* ```
* ```sh
* $ pulumi import gcp:healthcare/dicomStore:DicomStore default {{dataset}}/{{name}}
* ```
* @property dataset Identifies the dataset addressed by this request. Must be in the format
* 'projects/{project}/locations/{location}/datasets/{dataset}'
* - - -
* @property labels 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{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" }.
* **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
* Please refer to the field `effective_labels` for all of the labels present on the resource.
* @property name The resource name for the DicomStore.
* ** Changing this property may recreate the Dicom store (removing all data) **
* @property notificationConfig A nested object resource
* Structure is documented below.
* @property streamConfigs 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.
*/
public data class DicomStoreArgs(
public val dataset: Output? = null,
public val labels: Output>? = null,
public val name: Output? = null,
public val notificationConfig: Output? = null,
public val streamConfigs: Output>? = null,
) : ConvertibleToJava {
override fun toJava(): com.pulumi.gcp.healthcare.DicomStoreArgs =
com.pulumi.gcp.healthcare.DicomStoreArgs.builder()
.dataset(dataset?.applyValue({ args0 -> args0 }))
.labels(labels?.applyValue({ args0 -> args0.map({ args0 -> args0.key.to(args0.value) }).toMap() }))
.name(name?.applyValue({ args0 -> args0 }))
.notificationConfig(
notificationConfig?.applyValue({ args0 ->
args0.let({ args0 ->
args0.toJava()
})
}),
)
.streamConfigs(
streamConfigs?.applyValue({ args0 ->
args0.map({ args0 ->
args0.let({ args0 ->
args0.toJava()
})
})
}),
).build()
}
/**
* Builder for [DicomStoreArgs].
*/
@PulumiTagMarker
public class DicomStoreArgsBuilder internal constructor() {
private var dataset: Output? = null
private var labels: Output>? = null
private var name: Output? = null
private var notificationConfig: Output? = null
private var streamConfigs: Output>? = null
/**
* @param value Identifies the dataset addressed by this request. Must be in the format
* 'projects/{project}/locations/{location}/datasets/{dataset}'
* - - -
*/
@JvmName("aujvcrgklaugabpu")
public suspend fun dataset(`value`: Output) {
this.dataset = value
}
/**
* @param value 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{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" }.
* **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
* Please refer to the field `effective_labels` for all of the labels present on the resource.
*/
@JvmName("jdesbvbpwerptikm")
public suspend fun labels(`value`: Output>) {
this.labels = value
}
/**
* @param value The resource name for the DicomStore.
* ** Changing this property may recreate the Dicom store (removing all data) **
*/
@JvmName("dmbtpjxbjyxqdfal")
public suspend fun name(`value`: Output) {
this.name = value
}
/**
* @param value A nested object resource
* Structure is documented below.
*/
@JvmName("lqouwevabjjwxfjp")
public suspend fun notificationConfig(`value`: Output) {
this.notificationConfig = value
}
/**
* @param value 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.
*/
@JvmName("fjmmmkkvmbxnlses")
public suspend fun streamConfigs(`value`: Output>) {
this.streamConfigs = value
}
@JvmName("bjmvumfabynmgtng")
public suspend fun streamConfigs(vararg values: Output) {
this.streamConfigs = Output.all(values.asList())
}
/**
* @param values 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.
*/
@JvmName("wxwmxfexxaoseicv")
public suspend fun streamConfigs(values: List>) {
this.streamConfigs = Output.all(values)
}
/**
* @param value Identifies the dataset addressed by this request. Must be in the format
* 'projects/{project}/locations/{location}/datasets/{dataset}'
* - - -
*/
@JvmName("utpxrykcuytdchrn")
public suspend fun dataset(`value`: String?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.dataset = mapped
}
/**
* @param value 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{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" }.
* **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
* Please refer to the field `effective_labels` for all of the labels present on the resource.
*/
@JvmName("pduckdcanyoxdmxr")
public suspend fun labels(`value`: Map?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.labels = mapped
}
/**
* @param values 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{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" }.
* **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
* Please refer to the field `effective_labels` for all of the labels present on the resource.
*/
@JvmName("vggetlnnlkdeclpe")
public fun labels(vararg values: Pair) {
val toBeMapped = values.toMap()
val mapped = toBeMapped.let({ args0 -> of(args0) })
this.labels = mapped
}
/**
* @param value The resource name for the DicomStore.
* ** Changing this property may recreate the Dicom store (removing all data) **
*/
@JvmName("tynvnfvhsgmuijnl")
public suspend fun name(`value`: String?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.name = mapped
}
/**
* @param value A nested object resource
* Structure is documented below.
*/
@JvmName("dosygdwaoevxkjnp")
public suspend fun notificationConfig(`value`: DicomStoreNotificationConfigArgs?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.notificationConfig = mapped
}
/**
* @param argument A nested object resource
* Structure is documented below.
*/
@JvmName("cngkkfjdkpvpjqpt")
public suspend fun notificationConfig(argument: suspend DicomStoreNotificationConfigArgsBuilder.() -> Unit) {
val toBeMapped = DicomStoreNotificationConfigArgsBuilder().applySuspend { argument() }.build()
val mapped = of(toBeMapped)
this.notificationConfig = mapped
}
/**
* @param value 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.
*/
@JvmName("vgohpjjccthhmwvf")
public suspend fun streamConfigs(`value`: List?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.streamConfigs = mapped
}
/**
* @param argument 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.
*/
@JvmName("vujrisuervkubkqv")
public suspend fun streamConfigs(argument: List Unit>) {
val toBeMapped = argument.toList().map {
DicomStoreStreamConfigArgsBuilder().applySuspend {
it()
}.build()
}
val mapped = of(toBeMapped)
this.streamConfigs = mapped
}
/**
* @param argument 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.
*/
@JvmName("vmpgljohgbfndpda")
public suspend fun streamConfigs(vararg argument: suspend DicomStoreStreamConfigArgsBuilder.() -> Unit) {
val toBeMapped = argument.toList().map {
DicomStoreStreamConfigArgsBuilder().applySuspend {
it()
}.build()
}
val mapped = of(toBeMapped)
this.streamConfigs = mapped
}
/**
* @param argument 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.
*/
@JvmName("fgpoxadanqcwmkvk")
public suspend fun streamConfigs(argument: suspend DicomStoreStreamConfigArgsBuilder.() -> Unit) {
val toBeMapped = listOf(DicomStoreStreamConfigArgsBuilder().applySuspend { argument() }.build())
val mapped = of(toBeMapped)
this.streamConfigs = mapped
}
/**
* @param values 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.
*/
@JvmName("kjlewcjvwvprwomv")
public suspend fun streamConfigs(vararg values: DicomStoreStreamConfigArgs) {
val toBeMapped = values.toList()
val mapped = toBeMapped.let({ args0 -> of(args0) })
this.streamConfigs = mapped
}
internal fun build(): DicomStoreArgs = DicomStoreArgs(
dataset = dataset,
labels = labels,
name = name,
notificationConfig = notificationConfig,
streamConfigs = streamConfigs,
)
}
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