Ada lebih banyak contoh AWS SDK yang tersedia di repo Contoh [SDK AWS Doc](https://github.com/awsdocs/aws-doc-sdk-examples). GitHub 

Terjemahan disediakan oleh mesin penerjemah. Jika konten terjemahan yang diberikan bertentangan dengan versi bahasa Inggris aslinya, utamakan versi bahasa Inggris.

# Contoh kode untuk HealthImaging menggunakan AWS SDKs
<a name="medical-imaging_code_examples"></a>

Contoh kode berikut menunjukkan cara menggunakan AWS HealthImaging kit pengembangan AWS perangkat lunak (SDK).

*Tindakan* merupakan kutipan kode dari program yang lebih besar dan harus dijalankan dalam konteks. Sementara tindakan menunjukkan cara memanggil fungsi layanan individual, Anda dapat melihat tindakan dalam konteks dalam skenario terkait.

*Skenario* adalah contoh kode yang menunjukkan kepada Anda bagaimana menyelesaikan tugas tertentu dengan memanggil beberapa fungsi dalam layanan atau dikombinasikan dengan yang lain Layanan AWS.

**Sumber daya lainnya**
+  **[ HealthImaging Panduan Pengembang](https://docs.aws.amazon.com/healthimaging/latest/devguide/what-is.html)** - Informasi lebih lanjut tentang HealthImaging.
+ **[HealthImaging Referensi API](https://docs.aws.amazon.com/healthimaging/latest/APIReference/Welcome.html)** — Detail tentang semua HealthImaging tindakan yang tersedia.
+ **[AWS Pusat Pengembang](https://aws.amazon.com/developer/code-examples/?awsf.sdk-code-examples-product=product%23healthimaging)** - Contoh kode yang dapat Anda filter berdasarkan kategori atau pencarian teks lengkap.
+ **[AWS Contoh SDK](https://github.com/awsdocs/aws-doc-sdk-examples)** — GitHub repo dengan kode lengkap dalam bahasa pilihan. Termasuk instruksi untuk mengatur dan menjalankan kode.

**Contents**
+ [Hal-hal mendasar](medical-imaging_code_examples_basics.md)
  + [Halo HealthImaging](medical-imaging_example_medical-imaging_Hello_section.md)
  + [Tindakan](medical-imaging_code_examples_actions.md)
    + [`CopyImageSet`](medical-imaging_example_medical-imaging_CopyImageSet_section.md)
    + [`CreateDatastore`](medical-imaging_example_medical-imaging_CreateDatastore_section.md)
    + [`DeleteDatastore`](medical-imaging_example_medical-imaging_DeleteDatastore_section.md)
    + [`DeleteImageSet`](medical-imaging_example_medical-imaging_DeleteImageSet_section.md)
    + [`GetDICOMImportJob`](medical-imaging_example_medical-imaging_GetDICOMImportJob_section.md)
    + [`GetDatastore`](medical-imaging_example_medical-imaging_GetDatastore_section.md)
    + [`GetImageFrame`](medical-imaging_example_medical-imaging_GetImageFrame_section.md)
    + [`GetImageSet`](medical-imaging_example_medical-imaging_GetImageSet_section.md)
    + [`GetImageSetMetadata`](medical-imaging_example_medical-imaging_GetImageSetMetadata_section.md)
    + [`ListDICOMImportJobs`](medical-imaging_example_medical-imaging_ListDICOMImportJobs_section.md)
    + [`ListDatastores`](medical-imaging_example_medical-imaging_ListDatastores_section.md)
    + [`ListImageSetVersions`](medical-imaging_example_medical-imaging_ListImageSetVersions_section.md)
    + [`ListTagsForResource`](medical-imaging_example_medical-imaging_ListTagsForResource_section.md)
    + [`SearchImageSets`](medical-imaging_example_medical-imaging_SearchImageSets_section.md)
    + [`StartDICOMImportJob`](medical-imaging_example_medical-imaging_StartDICOMImportJob_section.md)
    + [`TagResource`](medical-imaging_example_medical-imaging_TagResource_section.md)
    + [`UntagResource`](medical-imaging_example_medical-imaging_UntagResource_section.md)
    + [`UpdateImageSetMetadata`](medical-imaging_example_medical-imaging_UpdateImageSetMetadata_section.md)
+ [Skenario](medical-imaging_code_examples_scenarios.md)
  + [Memulai dengan set gambar dan bingkai gambar](medical-imaging_example_medical-imaging_Scenario_ImageSetsAndFrames_section.md)
  + [Menandai penyimpanan data](medical-imaging_example_medical-imaging_Scenario_TaggingDataStores_section.md)
  + [Menandai set gambar](medical-imaging_example_medical-imaging_Scenario_TaggingImageSets_section.md)

# Contoh dasar untuk HealthImaging menggunakan AWS SDKs
<a name="medical-imaging_code_examples_basics"></a>

Contoh kode berikut menunjukkan cara menggunakan dasar-dasar AWS HealthImaging dengan AWS SDKs. 

**Contents**
+ [Halo HealthImaging](medical-imaging_example_medical-imaging_Hello_section.md)
+ [Tindakan](medical-imaging_code_examples_actions.md)
  + [`CopyImageSet`](medical-imaging_example_medical-imaging_CopyImageSet_section.md)
  + [`CreateDatastore`](medical-imaging_example_medical-imaging_CreateDatastore_section.md)
  + [`DeleteDatastore`](medical-imaging_example_medical-imaging_DeleteDatastore_section.md)
  + [`DeleteImageSet`](medical-imaging_example_medical-imaging_DeleteImageSet_section.md)
  + [`GetDICOMImportJob`](medical-imaging_example_medical-imaging_GetDICOMImportJob_section.md)
  + [`GetDatastore`](medical-imaging_example_medical-imaging_GetDatastore_section.md)
  + [`GetImageFrame`](medical-imaging_example_medical-imaging_GetImageFrame_section.md)
  + [`GetImageSet`](medical-imaging_example_medical-imaging_GetImageSet_section.md)
  + [`GetImageSetMetadata`](medical-imaging_example_medical-imaging_GetImageSetMetadata_section.md)
  + [`ListDICOMImportJobs`](medical-imaging_example_medical-imaging_ListDICOMImportJobs_section.md)
  + [`ListDatastores`](medical-imaging_example_medical-imaging_ListDatastores_section.md)
  + [`ListImageSetVersions`](medical-imaging_example_medical-imaging_ListImageSetVersions_section.md)
  + [`ListTagsForResource`](medical-imaging_example_medical-imaging_ListTagsForResource_section.md)
  + [`SearchImageSets`](medical-imaging_example_medical-imaging_SearchImageSets_section.md)
  + [`StartDICOMImportJob`](medical-imaging_example_medical-imaging_StartDICOMImportJob_section.md)
  + [`TagResource`](medical-imaging_example_medical-imaging_TagResource_section.md)
  + [`UntagResource`](medical-imaging_example_medical-imaging_UntagResource_section.md)
  + [`UpdateImageSetMetadata`](medical-imaging_example_medical-imaging_UpdateImageSetMetadata_section.md)

# Halo HealthImaging
<a name="medical-imaging_example_medical-imaging_Hello_section"></a>

Contoh kode berikut menunjukkan cara untuk mulai menggunakan HealthImaging.

------
#### [ C\$1\$1 ]

**SDK untuk C\$1\$1**  
Kode untuk CMake file CMake Lists.txt.  

```
# Set the minimum required version of CMake for this project.
cmake_minimum_required(VERSION 3.13)

# Set the AWS service components used by this project.
set(SERVICE_COMPONENTS medical-imaging)

# Set this project's name.
project("hello_health-imaging")

# Set the C++ standard to use to build this target.
# At least C++ 11 is required for the AWS SDK for C++.
set(CMAKE_CXX_STANDARD 11)

# Use the MSVC variable to determine if this is a Windows build.
set(WINDOWS_BUILD ${MSVC})

if (WINDOWS_BUILD) # Set the location where CMake can find the installed libraries for the AWS SDK.
    string(REPLACE ";" "/aws-cpp-sdk-all;" SYSTEM_MODULE_PATH "${CMAKE_SYSTEM_PREFIX_PATH}/aws-cpp-sdk-all")
    list(APPEND CMAKE_PREFIX_PATH ${SYSTEM_MODULE_PATH})
endif ()

# Find the AWS SDK for C++ package.
find_package(AWSSDK REQUIRED COMPONENTS ${SERVICE_COMPONENTS})

if (WINDOWS_BUILD AND AWSSDK_INSTALL_AS_SHARED_LIBS)
    # Copy relevant AWS SDK for C++ libraries into the current binary directory for running and debugging.

    # set(BIN_SUB_DIR "/Debug") # If you are building from the command line, you may need to uncomment this
    # and set the proper subdirectory to the executable location.

    AWSSDK_CPY_DYN_LIBS(SERVICE_COMPONENTS "" ${CMAKE_CURRENT_BINARY_DIR}${BIN_SUB_DIR})
endif ()

add_executable(${PROJECT_NAME}
        hello_health_imaging.cpp)

target_link_libraries(${PROJECT_NAME}
        ${AWSSDK_LINK_LIBRARIES})
```
Kode untuk file sumber hello\$1health\$1imaging.cpp.  

```
#include <aws/core/Aws.h>
#include <aws/medical-imaging/MedicalImagingClient.h>
#include <aws/medical-imaging/model/ListDatastoresRequest.h>

#include <iostream>

/*
 *  A "Hello HealthImaging" starter application which initializes an AWS HealthImaging (HealthImaging) client
 *  and lists the HealthImaging data stores in the current account.
 *
 *  main function
 *
 *  Usage: 'hello_health-imaging'
 *
 */
#include <aws/core/auth/AWSCredentialsProviderChain.h>
#include <aws/core/platform/Environment.h>

int main(int argc, char **argv) {
    (void) argc;
    (void) argv;
    Aws::SDKOptions options;
    //   Optional: change the log level for debugging.
    //   options.loggingOptions.logLevel = Aws::Utils::Logging::LogLevel::Debug;

    Aws::InitAPI(options); // Should only be called once.
    {
        Aws::Client::ClientConfiguration clientConfig;
        // Optional: Set to the AWS Region (overrides config file).
        // clientConfig.region = "us-east-1";

        Aws::MedicalImaging::MedicalImagingClient medicalImagingClient(clientConfig);
        Aws::MedicalImaging::Model::ListDatastoresRequest listDatastoresRequest;

        Aws::Vector<Aws::MedicalImaging::Model::DatastoreSummary> allDataStoreSummaries;
        Aws::String nextToken; // Used for paginated results.
        do {
            if (!nextToken.empty()) {
                listDatastoresRequest.SetNextToken(nextToken);
            }
            Aws::MedicalImaging::Model::ListDatastoresOutcome listDatastoresOutcome =
                    medicalImagingClient.ListDatastores(listDatastoresRequest);
            if (listDatastoresOutcome.IsSuccess()) {
                const Aws::Vector<Aws::MedicalImaging::Model::DatastoreSummary> &dataStoreSummaries =
                        listDatastoresOutcome.GetResult().GetDatastoreSummaries();
                allDataStoreSummaries.insert(allDataStoreSummaries.cend(),
                                             dataStoreSummaries.cbegin(),
                                             dataStoreSummaries.cend());
                nextToken = listDatastoresOutcome.GetResult().GetNextToken();
            }
            else {
                std::cerr << "ListDatastores error: "
                          << listDatastoresOutcome.GetError().GetMessage() << std::endl;
                break;
            }
        } while (!nextToken.empty());

        std::cout << allDataStoreSummaries.size() << " HealthImaging data "
                  << ((allDataStoreSummaries.size() == 1) ?
                      "store was retrieved." : "stores were retrieved.") << std::endl;

        for (auto const &dataStoreSummary: allDataStoreSummaries) {
            std::cout << "  Datastore: " << dataStoreSummary.GetDatastoreName()
                      << std::endl;
            std::cout << "  Datastore ID: " << dataStoreSummary.GetDatastoreId()
                      << std::endl;
        }
    }

    Aws::ShutdownAPI(options); // Should only be called once.
    return 0;
}
```
+  Untuk detail API, lihat [ListDatastores](https://docs.aws.amazon.com/goto/SdkForCpp/medical-imaging-2023-07-19/ListDatastores)di *Referensi AWS SDK untuk C\$1\$1 API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/cpp/example_code/medical-imaging/hello_health_imaging#code-examples). 

------
#### [ JavaScript ]

**SDK untuk JavaScript (v3)**  

```
import {
  ListDatastoresCommand,
  MedicalImagingClient,
} from "@aws-sdk/client-medical-imaging";

// When no region or credentials are provided, the SDK will use the
// region and credentials from the local AWS config.
const client = new MedicalImagingClient({});

export const helloMedicalImaging = async () => {
  const command = new ListDatastoresCommand({});

  const { datastoreSummaries } = await client.send(command);
  console.log("Datastores: ");
  console.log(datastoreSummaries.map((item) => item.datastoreName).join("\n"));
  return datastoreSummaries;
};
```
+  Untuk detail API, lihat [ListDatastores](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/ListDatastoresCommand)di *Referensi AWS SDK untuk JavaScript API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples). 

------
#### [ Python ]

**SDK untuk Python (Boto3)**  

```
import logging
import boto3
from botocore.exceptions import ClientError

logger = logging.getLogger(__name__)


def hello_medical_imaging(medical_imaging_client):
    """
    Use the AWS SDK for Python (Boto3) to create an AWS HealthImaging
    client and list the data stores in your account.
    This example uses the default settings specified in your shared credentials
    and config files.

    :param medical_imaging_client: A Boto3 AWS HealthImaging Client object.
    """
    print("Hello, Amazon Health Imaging! Let's list some of your data stores:\n")
    try:
        paginator = medical_imaging_client.get_paginator("list_datastores")
        page_iterator = paginator.paginate()
        datastore_summaries = []
        for page in page_iterator:
            datastore_summaries.extend(page["datastoreSummaries"])
        print("\tData Stores:")
        for ds in datastore_summaries:
            print(f"\t\tDatastore: {ds['datastoreName']} ID {ds['datastoreId']}")
    except ClientError as err:
        logger.error(
            "Couldn't list data stores. Here's why: %s: %s",
            err.response["Error"]["Code"],
            err.response["Error"]["Message"],
        )
        raise


if __name__ == "__main__":
    hello_medical_imaging(boto3.client("medical-imaging"))
```
+  Untuk detail API, lihat [ListDatastores](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/ListDatastores)di *AWS SDK for Python (Boto3) Referensi* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/medical-imaging/imaging_set_and_frames_workflow#code-examples). 

------

# Tindakan untuk HealthImaging menggunakan AWS SDKs
<a name="medical-imaging_code_examples_actions"></a>

Contoh kode berikut menunjukkan bagaimana melakukan HealthImaging tindakan individu dengan AWS SDKs. Setiap contoh menyertakan tautan ke GitHub, di mana Anda dapat menemukan instruksi untuk mengatur dan menjalankan kode. 

Kutipan ini memanggil HealthImaging API dan merupakan kutipan kode dari program yang lebih besar yang harus dijalankan dalam konteks. Anda dapat melihat tindakan dalam konteks di[Skenario untuk HealthImaging menggunakan AWS SDKs](medical-imaging_code_examples_scenarios.md). 

 Contoh berikut hanya mencakup tindakan yang paling umum digunakan. Untuk daftar lengkapnya, lihat [Referensi AWS HealthImaging API](https://docs.aws.amazon.com/healthimaging/latest/APIReference/Welcome.html). 

**Topics**
+ [`CopyImageSet`](medical-imaging_example_medical-imaging_CopyImageSet_section.md)
+ [`CreateDatastore`](medical-imaging_example_medical-imaging_CreateDatastore_section.md)
+ [`DeleteDatastore`](medical-imaging_example_medical-imaging_DeleteDatastore_section.md)
+ [`DeleteImageSet`](medical-imaging_example_medical-imaging_DeleteImageSet_section.md)
+ [`GetDICOMImportJob`](medical-imaging_example_medical-imaging_GetDICOMImportJob_section.md)
+ [`GetDatastore`](medical-imaging_example_medical-imaging_GetDatastore_section.md)
+ [`GetImageFrame`](medical-imaging_example_medical-imaging_GetImageFrame_section.md)
+ [`GetImageSet`](medical-imaging_example_medical-imaging_GetImageSet_section.md)
+ [`GetImageSetMetadata`](medical-imaging_example_medical-imaging_GetImageSetMetadata_section.md)
+ [`ListDICOMImportJobs`](medical-imaging_example_medical-imaging_ListDICOMImportJobs_section.md)
+ [`ListDatastores`](medical-imaging_example_medical-imaging_ListDatastores_section.md)
+ [`ListImageSetVersions`](medical-imaging_example_medical-imaging_ListImageSetVersions_section.md)
+ [`ListTagsForResource`](medical-imaging_example_medical-imaging_ListTagsForResource_section.md)
+ [`SearchImageSets`](medical-imaging_example_medical-imaging_SearchImageSets_section.md)
+ [`StartDICOMImportJob`](medical-imaging_example_medical-imaging_StartDICOMImportJob_section.md)
+ [`TagResource`](medical-imaging_example_medical-imaging_TagResource_section.md)
+ [`UntagResource`](medical-imaging_example_medical-imaging_UntagResource_section.md)
+ [`UpdateImageSetMetadata`](medical-imaging_example_medical-imaging_UpdateImageSetMetadata_section.md)

# Gunakan `CopyImageSet` dengan AWS SDK atau CLI
<a name="medical-imaging_example_medical-imaging_CopyImageSet_section"></a>

Contoh kode berikut menunjukkan cara menggunakan`CopyImageSet`.

------
#### [ CLI ]

**AWS CLI**  
**Contoh 1: Untuk menyalin set gambar tanpa tujuan.**  
`copy-image-set`Contoh berikut membuat salinan duplikat dari gambar yang ditetapkan tanpa tujuan.  

```
aws medical-imaging copy-image-set \
    --datastore-id 12345678901234567890123456789012 \
    --source-image-set-id ea92b0d8838c72a3f25d00d13616f87e \
    --copy-image-set-information '{"sourceImageSet": {"latestVersionId": "1" } }'
```
Output:  

```
{
    "destinationImageSetProperties": {
        "latestVersionId": "2",
        "imageSetWorkflowStatus": "COPYING",
        "updatedAt": 1680042357.432,
        "imageSetId": "b9a06fef182a5f992842f77f8e0868e5",
        "imageSetState": "LOCKED",
        "createdAt": 1680042357.432
    },
    "sourceImageSetProperties": {
        "latestVersionId": "1",
        "imageSetWorkflowStatus": "COPYING_WITH_READ_ONLY_ACCESS",
        "updatedAt": 1680042357.432,
        "imageSetId": "ea92b0d8838c72a3f25d00d13616f87e",
        "imageSetState": "LOCKED",
        "createdAt": 1680027126.436
    },
    "datastoreId": "12345678901234567890123456789012"
}
```
**Contoh 2: Untuk menyalin gambar yang ditetapkan dengan tujuan.**  
`copy-image-set`Contoh berikut membuat salinan duplikat dari gambar yang ditetapkan dengan tujuan.  

```
aws medical-imaging copy-image-set \
    --datastore-id 12345678901234567890123456789012 \
    --source-image-set-id ea92b0d8838c72a3f25d00d13616f87e \
    --copy-image-set-information '{"sourceImageSet": {"latestVersionId": "1" }, "destinationImageSet": { "imageSetId": "b9a06fef182a5f992842f77f8e0868e5", "latestVersionId": "1"} }'
```
Output:  

```
{
    "destinationImageSetProperties": {
        "latestVersionId": "2",
        "imageSetWorkflowStatus": "COPYING",
        "updatedAt": 1680042505.135,
        "imageSetId": "b9a06fef182a5f992842f77f8e0868e5",
        "imageSetState": "LOCKED",
        "createdAt": 1680042357.432
    },
    "sourceImageSetProperties": {
        "latestVersionId": "1",
        "imageSetWorkflowStatus": "COPYING_WITH_READ_ONLY_ACCESS",
        "updatedAt": 1680042505.135,
        "imageSetId": "ea92b0d8838c72a3f25d00d13616f87e",
        "imageSetState": "LOCKED",
        "createdAt": 1680027126.436
    },
    "datastoreId": "12345678901234567890123456789012"
}
```
**Contoh 3: Untuk menyalin subset instance dari gambar sumber yang disetel ke kumpulan gambar tujuan.**  
`copy-image-set`Contoh berikut menyalin satu contoh DICOM dari gambar sumber yang disetel ke set gambar tujuan. Parameter gaya disediakan untuk mengesampingkan inkonsistensi dalam atribut tingkat Pasien, Studi, dan Seri.  

```
aws medical-imaging copy-image-set \
    --datastore-id 12345678901234567890123456789012 \
    --source-image-set-id ea92b0d8838c72a3f25d00d13616f87e \
    --copy-image-set-information '{"sourceImageSet": {"latestVersionId": "1","DICOMCopies": {"copiableAttributes": "{\"SchemaVersion\":\"1.1\",\"Study\":{\"Series\":{\"1.3.6.1.4.1.5962.99.1.3673257865.2104868982.1369432891697.3666.0\":{\"Instances\":{\"1.3.6.1.4.1.5962.99.1.3673257865.2104868982.1369432891697.3669.0\":{}}}}}}"}},"destinationImageSet": {"imageSetId": "b9eb50d8ee682eb9fcf4acbf92f62bb7","latestVersionId": "1"}}' \
    --force
```
Output:  

```
{
    "destinationImageSetProperties": {
        "latestVersionId": "2",
        "imageSetWorkflowStatus": "COPYING",
        "updatedAt": 1680042505.135,
        "imageSetId": "b9eb50d8ee682eb9fcf4acbf92f62bb7",
        "imageSetState": "LOCKED",
        "createdAt": 1680042357.432
    },
    "sourceImageSetProperties": {
        "latestVersionId": "1",
        "imageSetWorkflowStatus": "COPYING_WITH_READ_ONLY_ACCESS",
        "updatedAt": 1680042505.135,
        "imageSetId": "ea92b0d8838c72a3f25d00d13616f87e",
        "imageSetState": "LOCKED",
        "createdAt": 1680027126.436
    },
    "datastoreId": "12345678901234567890123456789012"
}
```
Untuk informasi selengkapnya, lihat [Menyalin set gambar](https://docs.aws.amazon.com/healthimaging/latest/devguide/copy-image-set.html) di *Panduan AWS HealthImaging Pengembang*.  
+  Untuk detail API, lihat [CopyImageSet](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/medical-imaging/copy-image-set.html)di *Referensi AWS CLI Perintah*. 

------
#### [ Java ]

**SDK untuk Java 2.x**  

```
    /**
     * Copy an AWS HealthImaging image set.
     *
     * @param medicalImagingClient  - The AWS HealthImaging client object.
     * @param datastoreId           - The datastore ID.
     * @param imageSetId            - The image set ID.
     * @param latestVersionId       - The version ID.
     * @param destinationImageSetId - The optional destination image set ID, ignored if null.
     * @param destinationVersionId  - The optional destination version ID, ignored if null.
     * @param force                 - The force flag.
     * @param subsets               - The optional subsets to copy, ignored if null.
     * @return                      - The image set ID of the copy.
     * @throws MedicalImagingException - Base exception for all service exceptions thrown by AWS HealthImaging.
     */
    public static String copyMedicalImageSet(MedicalImagingClient medicalImagingClient,
                                             String datastoreId,
                                             String imageSetId,
                                             String latestVersionId,
                                             String destinationImageSetId,
                                             String destinationVersionId,
                                             boolean force,
                                             Vector<String> subsets) {

        try {
            CopySourceImageSetInformation.Builder copySourceImageSetInformation = CopySourceImageSetInformation.builder()
                    .latestVersionId(latestVersionId);

            // Optionally copy a subset of image instances.
            if (subsets != null) {
                String subsetInstanceToCopy = getCopiableAttributesJSON(imageSetId, subsets);
                copySourceImageSetInformation.dicomCopies(MetadataCopies.builder()
                        .copiableAttributes(subsetInstanceToCopy)
                        .build());
            }

            CopyImageSetInformation.Builder copyImageSetBuilder = CopyImageSetInformation.builder()
                    .sourceImageSet(copySourceImageSetInformation.build());

            // Optionally designate a destination image set.
            if (destinationImageSetId != null) {
                copyImageSetBuilder = copyImageSetBuilder.destinationImageSet(CopyDestinationImageSet.builder()
                        .imageSetId(destinationImageSetId)
                        .latestVersionId(destinationVersionId)
                        .build());
            }

            CopyImageSetRequest copyImageSetRequest = CopyImageSetRequest.builder()
                    .datastoreId(datastoreId)
                    .sourceImageSetId(imageSetId)
                    .copyImageSetInformation(copyImageSetBuilder.build())
                    .force(force)
                    .build();

            CopyImageSetResponse response = medicalImagingClient.copyImageSet(copyImageSetRequest);

            return response.destinationImageSetProperties().imageSetId();
        } catch (MedicalImagingException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            throw e;
        }
    }
```
Fungsi utilitas untuk membuat atribut yang dapat disalinkan.  

```
    /**
     * Create a JSON string of copiable image instances.
     *
     * @param imageSetId - The image set ID.
     * @param subsets    - The subsets to copy.
     * @return A JSON string of copiable image instances.
     */
    private static String getCopiableAttributesJSON(String imageSetId, Vector<String> subsets) {
        StringBuilder subsetInstanceToCopy = new StringBuilder(
                """
                        {
                          "SchemaVersion": 1.1,
                          "Study": {
                            "Series": {
                                "
                                 """
        );

        subsetInstanceToCopy.append(imageSetId);

        subsetInstanceToCopy.append(
                """
                                ": {
                                "Instances": {
                        """
        );

        for (String subset : subsets) {
            subsetInstanceToCopy.append('"' + subset + "\": {},");
        }
        subsetInstanceToCopy.deleteCharAt(subsetInstanceToCopy.length() - 1);
        subsetInstanceToCopy.append("""
                         }
                       }
                    }
                  }
                }
                """);
        return subsetInstanceToCopy.toString();
    }
```
+  Untuk detail API, lihat [CopyImageSet](https://docs.aws.amazon.com/goto/SdkForJavaV2/medical-imaging-2023-07-19/CopyImageSet)di *Referensi AWS SDK for Java 2.x API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/medicalimaging#code-examples). 

------
#### [ JavaScript ]

**SDK untuk JavaScript (v3)**  
Fungsi utilitas untuk menyalin set gambar.  

```
import { CopyImageSetCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} datastoreId - The ID of the data store.
 * @param {string} imageSetId - The source image set ID.
 * @param {string} sourceVersionId - The source version ID.
 * @param {string} destinationImageSetId - The optional ID of the destination image set.
 * @param {string} destinationVersionId - The optional version ID of the destination image set.
 * @param {boolean} force - Force the copy action.
 * @param {[string]} copySubsets - A subset of instance IDs to copy.
 */
export const copyImageSet = async (
  datastoreId = "xxxxxxxxxxx",
  imageSetId = "xxxxxxxxxxxx",
  sourceVersionId = "1",
  destinationImageSetId = "",
  destinationVersionId = "",
  force = false,
  copySubsets = [],
) => {
  try {
    const params = {
      datastoreId: datastoreId,
      sourceImageSetId: imageSetId,
      copyImageSetInformation: {
        sourceImageSet: { latestVersionId: sourceVersionId },
      },
      force: force,
    };
    if (destinationImageSetId !== "" && destinationVersionId !== "") {
      params.copyImageSetInformation.destinationImageSet = {
        imageSetId: destinationImageSetId,
        latestVersionId: destinationVersionId,
      };
    }

    if (copySubsets.length > 0) {
      let copySubsetsJson;
      copySubsetsJson = {
        SchemaVersion: 1.1,
        Study: {
          Series: {
            imageSetId: {
              Instances: {},
            },
          },
        },
      };

      for (let i = 0; i < copySubsets.length; i++) {
        copySubsetsJson.Study.Series.imageSetId.Instances[copySubsets[i]] = {};
      }

      params.copyImageSetInformation.dicomCopies = copySubsetsJson;
    }

    const response = await medicalImagingClient.send(
      new CopyImageSetCommand(params),
    );
    console.log(response);
    // {
    //     '$metadata': {
    //         httpStatusCode: 200,
    //         requestId: 'd9b219ce-cc48-4a44-a5b2-c5c3068f1ee8',
    //         extendedRequestId: undefined,
    //         cfId: undefined,
    //         attempts: 1,
    //         totalRetryDelay: 0
    //      },
    //       datastoreId: 'xxxxxxxxxxxxxx',
    //       destinationImageSetProperties: {
    //             createdAt: 2023-09-27T19:46:21.824Z,
    //             imageSetArn: 'arn:aws:medical-imaging:us-east-1:xxxxxxxxxxx:datastore/xxxxxxxxxxxxx/imageset/xxxxxxxxxxxxxxxxxxx',
    //             imageSetId: 'xxxxxxxxxxxxxxx',
    //             imageSetState: 'LOCKED',
    //             imageSetWorkflowStatus: 'COPYING',
    //             latestVersionId: '1',
    //             updatedAt: 2023-09-27T19:46:21.824Z
    //       },
    //       sourceImageSetProperties: {
    //             createdAt: 2023-09-22T14:49:26.427Z,
    //             imageSetArn: 'arn:aws:medical-imaging:us-east-1:xxxxxxxxxxx:datastore/xxxxxxxxxxxxx/imageset/xxxxxxxxxxxxxxxx',
    //             imageSetId: 'xxxxxxxxxxxxxxxx',
    //             imageSetState: 'LOCKED',
    //             imageSetWorkflowStatus: 'COPYING_WITH_READ_ONLY_ACCESS',
    //             latestVersionId: '4',
    //             updatedAt: 2023-09-27T19:46:21.824Z
    //      }
    // }
    return response;
  } catch (err) {
    console.error(err);
  }
};
```
Salin set gambar tanpa tujuan.  

```
  await copyImageSet(
    "12345678901234567890123456789012",
    "12345678901234567890123456789012",
    "1",
  );
```
Salin set gambar dengan tujuan.  

```
  await copyImageSet(
    "12345678901234567890123456789012",
    "12345678901234567890123456789012",
    "1",
    "12345678901234567890123456789012",
    "1",
    false,
  );
```
Salin subset dari kumpulan gambar dengan tujuan dan paksa salinannya.  

```
  await copyImageSet(
    "12345678901234567890123456789012",
    "12345678901234567890123456789012",
    "1",
    "12345678901234567890123456789012",
    "1",
    true,
    ["12345678901234567890123456789012", "11223344556677889900112233445566"],
  );
```
+  Untuk detail API, lihat [CopyImageSet](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/CopyImageSetCommand)di *Referensi AWS SDK untuk JavaScript API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples). 

------
#### [ Python ]

**SDK untuk Python (Boto3)**  
Fungsi utilitas untuk menyalin set gambar.  

```
class MedicalImagingWrapper:
    def __init__(self, health_imaging_client):
        self.health_imaging_client = health_imaging_client


    def copy_image_set(
        self,
        datastore_id,
        image_set_id,
        version_id,
        destination_image_set_id=None,
        destination_version_id=None,
        force=False,
        subsets=[],
    ):
        """
        Copy an image set.

        :param datastore_id: The ID of the data store.
        :param image_set_id: The ID of the image set.
        :param version_id: The ID of the image set version.
        :param destination_image_set_id: The ID of the optional destination image set.
        :param destination_version_id: The ID of the optional destination image set version.
        :param force: Force the copy.
        :param subsets: The optional subsets to copy. For example: ["12345678901234567890123456789012"].
        :return: The copied image set ID.
        """
        try:
            copy_image_set_information = {
                "sourceImageSet": {"latestVersionId": version_id}
            }
            if destination_image_set_id and destination_version_id:
                copy_image_set_information["destinationImageSet"] = {
                    "imageSetId": destination_image_set_id,
                    "latestVersionId": destination_version_id,
                }
            if len(subsets) > 0:
                copySubsetsJson = {
                    "SchemaVersion": "1.1",
                    "Study": {"Series": {"imageSetId": {"Instances": {}}}},
                }

                for subset in subsets:
                    copySubsetsJson["Study"]["Series"]["imageSetId"]["Instances"][
                        subset
                    ] = {}

                copy_image_set_information["sourceImageSet"]["DICOMCopies"] = {
                    "copiableAttributes": json.dumps(copySubsetsJson)
                }
            copy_results = self.health_imaging_client.copy_image_set(
                datastoreId=datastore_id,
                sourceImageSetId=image_set_id,
                copyImageSetInformation=copy_image_set_information,
                force=force,
            )
        except ClientError as err:
            logger.error(
                "Couldn't copy image set. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return copy_results["destinationImageSetProperties"]["imageSetId"]
```
Salin set gambar tanpa tujuan.  

```
            copy_image_set_information = {
                "sourceImageSet": {"latestVersionId": version_id}
            }

            copy_results = self.health_imaging_client.copy_image_set(
                datastoreId=datastore_id,
                sourceImageSetId=image_set_id,
                copyImageSetInformation=copy_image_set_information,
                force=force,
            )
```
Salin set gambar dengan tujuan.  

```
            copy_image_set_information = {
                "sourceImageSet": {"latestVersionId": version_id}
            }

            if destination_image_set_id and destination_version_id:
                copy_image_set_information["destinationImageSet"] = {
                    "imageSetId": destination_image_set_id,
                    "latestVersionId": destination_version_id,
                }

            copy_results = self.health_imaging_client.copy_image_set(
                datastoreId=datastore_id,
                sourceImageSetId=image_set_id,
                copyImageSetInformation=copy_image_set_information,
                force=force,
            )
```
Salin subset dari kumpulan gambar.  

```
            copy_image_set_information = {
                "sourceImageSet": {"latestVersionId": version_id}
            }

            if len(subsets) > 0:
                copySubsetsJson = {
                    "SchemaVersion": "1.1",
                    "Study": {"Series": {"imageSetId": {"Instances": {}}}},
                }

                for subset in subsets:
                    copySubsetsJson["Study"]["Series"]["imageSetId"]["Instances"][
                        subset
                    ] = {}

                copy_image_set_information["sourceImageSet"]["DICOMCopies"] = {
                    "copiableAttributes": json.dumps(copySubsetsJson)
                }

            copy_results = self.health_imaging_client.copy_image_set(
                datastoreId=datastore_id,
                sourceImageSetId=image_set_id,
                copyImageSetInformation=copy_image_set_information,
                force=force,
            )
```
Kode berikut membuat instance objek. MedicalImagingWrapper   

```
    client = boto3.client("medical-imaging")
    medical_imaging_wrapper = MedicalImagingWrapper(client)
```
+  Untuk detail API, lihat [CopyImageSet](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/CopyImageSet)di *AWS SDK for Python (Boto3) Referensi* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/medical-imaging#code-examples). 

------
#### [ SAP ABAP ]

**SDK for SAP ABAP**  

```
    TRY.
        " iv_datastore_id = '1234567890123456789012345678901234567890'
        " iv_source_image_set_id = '1234567890123456789012345678901234567890'
        " iv_source_version_id = '1'
        " iv_destination_image_set_id = '1234567890123456789012345678901234567890' (optional)
        " iv_destination_version_id = '1' (optional)
        " iv_force = abap_false
        DATA(lo_source_info) = NEW /aws1/cl_migcpsrcimagesetinf00(
          iv_latestversionid = iv_source_version_id ).
        DATA(lo_copy_info) = NEW /aws1/cl_migcpimagesetinfmtion(
          io_sourceimageset = lo_source_info ).
        IF iv_destination_image_set_id IS NOT INITIAL AND
           iv_destination_version_id IS NOT INITIAL.
          DATA(lo_dest_info) = NEW /aws1/cl_migcopydstimageset(
            iv_imagesetid = iv_destination_image_set_id
            iv_latestversionid = iv_destination_version_id ).
          lo_copy_info = NEW /aws1/cl_migcpimagesetinfmtion(
            io_sourceimageset = lo_source_info
            io_destinationimageset = lo_dest_info ).
        ENDIF.
        oo_result = lo_mig->copyimageset(
          iv_datastoreid = iv_datastore_id
          iv_sourceimagesetid = iv_source_image_set_id
          io_copyimagesetinformation = lo_copy_info
          iv_force = iv_force ).
        DATA(lo_dest_props) = oo_result->get_dstimagesetproperties( ).
        DATA(lv_new_id) = lo_dest_props->get_imagesetid( ).
        MESSAGE |Image set copied with new ID: { lv_new_id }.| TYPE 'I'.
      CATCH /aws1/cx_migaccessdeniedex.
        MESSAGE 'Access denied.' TYPE 'I'.
      CATCH /aws1/cx_migconflictexception.
        MESSAGE 'Conflict error.' TYPE 'I'.
      CATCH /aws1/cx_miginternalserverex.
        MESSAGE 'Internal server error.' TYPE 'I'.
      CATCH /aws1/cx_migresourcenotfoundex.
        MESSAGE 'Image set not found.' TYPE 'I'.
      CATCH /aws1/cx_migservicequotaexcdex.
        MESSAGE 'Service quota exceeded.' TYPE 'I'.
      CATCH /aws1/cx_migthrottlingex.
        MESSAGE 'Request throttled.' TYPE 'I'.
      CATCH /aws1/cx_migvalidationex.
        MESSAGE 'Validation error.' TYPE 'I'.
    ENDTRY.
```
+  Untuk detail API, lihat [CopyImageSet](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)di *AWS SDK untuk referensi SAP ABAP* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/mig#code-examples). 

------

# Gunakan `CreateDatastore` dengan AWS SDK atau CLI
<a name="medical-imaging_example_medical-imaging_CreateDatastore_section"></a>

Contoh kode berikut menunjukkan cara menggunakan`CreateDatastore`.

------
#### [ Bash ]

**AWS CLI dengan skrip Bash**  

```
###############################################################################
# function errecho
#
# This function outputs everything sent to it to STDERR (standard error output).
###############################################################################
function errecho() {
  printf "%s\n" "$*" 1>&2
}

###############################################################################
# function imaging_create_datastore
#
# This function creates an AWS HealthImaging data store for importing DICOM P10 files.
#
# Parameters:
#       -n data_store_name - The name of the data store.
#
# Returns:
#       The datastore ID.
#    And:
#       0 - If successful.
#       1 - If it fails.
###############################################################################
function imaging_create_datastore() {
  local datastore_name response
  local option OPTARG # Required to use getopts command in a function.

  # bashsupport disable=BP5008
  function usage() {
    echo "function imaging_create_datastore"
    echo "Creates an AWS HealthImaging data store for importing DICOM P10 files."
    echo "  -n data_store_name - The name of the data store."
    echo ""
  }

  # Retrieve the calling parameters.
  while getopts "n:h" option; do
    case "${option}" in
      n) datastore_name="${OPTARG}" ;;
      h)
        usage
        return 0
        ;;
      \?)
        echo "Invalid parameter"
        usage
        return 1
        ;;
    esac
  done
  export OPTIND=1

  if [[ -z "$datastore_name" ]]; then
    errecho "ERROR: You must provide a data store name with the -n parameter."
    usage
    return 1
  fi

  response=$(aws medical-imaging create-datastore \
    --datastore-name "$datastore_name" \
    --output text \
    --query 'datastoreId')

  local error_code=${?}

  if [[ $error_code -ne 0 ]]; then
    aws_cli_error_log $error_code
    errecho "ERROR: AWS reports medical-imaging create-datastore operation failed.$response"
    return 1
  fi

  echo "$response"

  return 0
}
```
+  Untuk detail API, lihat [CreateDatastore](https://docs.aws.amazon.com/goto/aws-cli/medical-imaging-2023-07-19/CreateDatastore)di *Referensi AWS CLI Perintah*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/aws-cli/bash-linux/medical-imaging#code-examples). 

------
#### [ CLI ]

**AWS CLI**  
**Contoh 1: Untuk membuat penyimpanan data**  
Contoh `create-datastore` kode berikut membuat penyimpanan data dengan nama`my-datastore`. Saat Anda membuat datastore tanpa menentukan a`--lossless-storage-format`, AWS HealthImaging default ke HTJ2 K (High Throughput JPEG 2000).  

```
aws medical-imaging create-datastore \
    --datastore-name "my-datastore"
```
Output:  

```
{
    "datastoreId": "12345678901234567890123456789012",
    "datastoreStatus": "CREATING"
}
```
**Contoh 2: Untuk membuat penyimpanan data dengan format penyimpanan Lossless JPEG 2000**  
Penyimpanan data yang dikonfigurasi dengan format penyimpanan Lossless JPEG 2000 akan mentranskode dan mempertahankan bingkai gambar lossless dalam format JPEG 2000. Bingkai gambar kemudian dapat diambil dalam JPEG 2000 Lossless tanpa transcoding. Contoh `create-datastore` kode berikut membuat penyimpanan data dikonfigurasi untuk format penyimpanan Lossless JPEG 2000 dengan nama. `my-datastore`  

```
aws medical-imaging create-datastore \
    --datastore-name "my-datastore" \
    --lossless-storage-format JPEG_2000_LOSSLESS
```
Output:  

```
{
    "datastoreId": "12345678901234567890123456789012",
    "datastoreStatus": "CREATING"
}
```
Untuk informasi selengkapnya, lihat [Membuat penyimpanan data](https://docs.aws.amazon.com/healthimaging/latest/devguide/create-data-store.html) di *Panduan AWS HealthImaging Pengembang*.  
+  Untuk detail API, lihat [CreateDatastore](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/medical-imaging/create-datastore.html)di *Referensi AWS CLI Perintah*. 

------
#### [ Java ]

**SDK untuk Java 2.x**  

```
    public static String createMedicalImageDatastore(MedicalImagingClient medicalImagingClient,
            String datastoreName) {
        try {
            CreateDatastoreRequest datastoreRequest = CreateDatastoreRequest.builder()
                    .datastoreName(datastoreName)
                    .build();
            CreateDatastoreResponse response = medicalImagingClient.createDatastore(datastoreRequest);
            return response.datastoreId();
        } catch (MedicalImagingException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }

        return "";
    }
```
+  Untuk detail API, lihat [CreateDatastore](https://docs.aws.amazon.com/goto/SdkForJavaV2/medical-imaging-2023-07-19/CreateDatastore)di *Referensi AWS SDK for Java 2.x API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/medicalimaging#code-examples). 

------
#### [ JavaScript ]

**SDK untuk JavaScript (v3)**  

```
import { CreateDatastoreCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} datastoreName - The name of the data store to create.
 */
export const createDatastore = async (datastoreName = "DATASTORE_NAME") => {
  const response = await medicalImagingClient.send(
    new CreateDatastoreCommand({ datastoreName: datastoreName }),
  );
  console.log(response);
  // {
  //   '$metadata': {
  //       httpStatusCode: 200,
  //       requestId: 'a71cd65f-2382-49bf-b682-f9209d8d399b',
  //       extendedRequestId: undefined,
  //       cfId: undefined,
  //       attempts: 1,
  //       totalRetryDelay: 0
  //    },
  //    datastoreId: 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx',
  //    datastoreStatus: 'CREATING'
  // }
  return response;
};
```
+  Untuk detail API, lihat [CreateDatastore](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/CreateDatastoreCommand)di *Referensi AWS SDK untuk JavaScript API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples). 

------
#### [ Python ]

**SDK untuk Python (Boto3)**  

```
class MedicalImagingWrapper:
    def __init__(self, health_imaging_client):
        self.health_imaging_client = health_imaging_client


    def create_datastore(self, name):
        """
        Create a data store.

        :param name: The name of the data store to create.
        :return: The data store ID.
        """
        try:
            data_store = self.health_imaging_client.create_datastore(datastoreName=name)
        except ClientError as err:
            logger.error(
                "Couldn't create data store %s. Here's why: %s: %s",
                name,
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return data_store["datastoreId"]
```
Kode berikut membuat instance objek. MedicalImagingWrapper   

```
    client = boto3.client("medical-imaging")
    medical_imaging_wrapper = MedicalImagingWrapper(client)
```
+  Untuk detail API, lihat [CreateDatastore](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/CreateDatastore)di *AWS SDK for Python (Boto3) Referensi* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/medical-imaging#code-examples). 

------
#### [ SAP ABAP ]

**SDK for SAP ABAP**  

```
    TRY.
        " iv_datastore_name = 'my-datastore-name'
        oo_result = lo_mig->createdatastore( iv_datastorename = iv_datastore_name ).
        DATA(lv_datastore_id) = oo_result->get_datastoreid( ).
        MESSAGE 'Data store created.' TYPE 'I'.
      CATCH /aws1/cx_migaccessdeniedex.
        MESSAGE 'Access denied.' TYPE 'I'.
      CATCH /aws1/cx_migconflictexception.
        MESSAGE 'Conflict. Data store may already exist.' TYPE 'I'.
      CATCH /aws1/cx_miginternalserverex.
        MESSAGE 'Internal server error.' TYPE 'I'.
      CATCH /aws1/cx_migservicequotaexcdex.
        MESSAGE 'Service quota exceeded.' TYPE 'I'.
      CATCH /aws1/cx_migthrottlingex.
        MESSAGE 'Request throttled.' TYPE 'I'.
      CATCH /aws1/cx_migvalidationex.
        MESSAGE 'Validation error.' TYPE 'I'.
    ENDTRY.
```
+  Untuk detail API, lihat [CreateDatastore](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)di *AWS SDK untuk referensi SAP ABAP* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/mig#code-examples). 

------

# Gunakan `DeleteDatastore` dengan AWS SDK atau CLI
<a name="medical-imaging_example_medical-imaging_DeleteDatastore_section"></a>

Contoh kode berikut menunjukkan cara menggunakan`DeleteDatastore`.

------
#### [ Bash ]

**AWS CLI dengan skrip Bash**  

```
###############################################################################
# function errecho
#
# This function outputs everything sent to it to STDERR (standard error output).
###############################################################################
function errecho() {
  printf "%s\n" "$*" 1>&2
}

###############################################################################
# function imaging_delete_datastore
#
# This function deletes an AWS HealthImaging data store.
#
# Parameters:
#       -i datastore_id - The ID of the data store.
#
# Returns:
#       0 - If successful.
#       1 - If it fails.
###############################################################################
function imaging_delete_datastore() {
  local datastore_id response
  local option OPTARG # Required to use getopts command in a function.

  # bashsupport disable=BP5008
  function usage() {
    echo "function imaging_delete_datastore"
    echo "Deletes an AWS HealthImaging data store."
    echo "  -i datastore_id - The ID of the data store."
    echo ""
  }

  # Retrieve the calling parameters.
  while getopts "i:h" option; do
    case "${option}" in
      i) datastore_id="${OPTARG}" ;;
      h)
        usage
        return 0
        ;;
      \?)
        echo "Invalid parameter"
        usage
        return 1
        ;;
    esac
  done
  export OPTIND=1

  if [[ -z "$datastore_id" ]]; then
    errecho "ERROR: You must provide a data store ID with the -i parameter."
    usage
    return 1
  fi

  response=$(aws medical-imaging delete-datastore \
    --datastore-id "$datastore_id")

  local error_code=${?}

  if [[ $error_code -ne 0 ]]; then
    aws_cli_error_log $error_code
    errecho "ERROR: AWS reports medical-imaging delete-datastore operation failed.$response"
    return 1
  fi

  return 0
}
```
+  Untuk detail API, lihat [DeleteDatastore](https://docs.aws.amazon.com/goto/aws-cli/medical-imaging-2023-07-19/DeleteDatastore)di *Referensi AWS CLI Perintah*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/aws-cli/bash-linux/medical-imaging#code-examples). 

------
#### [ CLI ]

**AWS CLI**  
**Untuk menghapus penyimpanan data**  
Contoh `delete-datastore` kode berikut menghapus penyimpanan data.  

```
aws medical-imaging delete-datastore \
    --datastore-id "12345678901234567890123456789012"
```
Output:  

```
{
    "datastoreId": "12345678901234567890123456789012",
    "datastoreStatus": "DELETING"
}
```
Untuk informasi selengkapnya, lihat [Menghapus penyimpanan data](https://docs.aws.amazon.com/healthimaging/latest/devguide/delete-data-store.html) di *Panduan AWS HealthImaging Pengembang*.  
+  Untuk detail API, lihat [DeleteDatastore](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/medical-imaging/delete-datastore.html)di *Referensi AWS CLI Perintah*. 

------
#### [ Java ]

**SDK untuk Java 2.x**  

```
    public static void deleteMedicalImagingDatastore(MedicalImagingClient medicalImagingClient,
            String datastoreID) {
        try {
            DeleteDatastoreRequest datastoreRequest = DeleteDatastoreRequest.builder()
                    .datastoreId(datastoreID)
                    .build();
            medicalImagingClient.deleteDatastore(datastoreRequest);
        } catch (MedicalImagingException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }
    }
```
+  Untuk detail API, lihat [DeleteDatastore](https://docs.aws.amazon.com/goto/SdkForJavaV2/medical-imaging-2023-07-19/DeleteDatastore)di *Referensi AWS SDK for Java 2.x API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/medicalimaging#code-examples). 

------
#### [ JavaScript ]

**SDK untuk JavaScript (v3)**  

```
import { DeleteDatastoreCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} datastoreId - The ID of the data store to delete.
 */
export const deleteDatastore = async (datastoreId = "DATASTORE_ID") => {
  const response = await medicalImagingClient.send(
    new DeleteDatastoreCommand({ datastoreId }),
  );
  console.log(response);
  // {
  //   '$metadata': {
  //           httpStatusCode: 200,
  //           requestId: 'f5beb409-678d-48c9-9173-9a001ee1ebb1',
  //           extendedRequestId: undefined,
  //           cfId: undefined,
  //           attempts: 1,
  //           totalRetryDelay: 0
  //        },
  //     datastoreId: 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx',
  //     datastoreStatus: 'DELETING'
  // }

  return response;
};
```
+  Untuk detail API, lihat [DeleteDatastore](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/DeleteDatastoreCommand)di *Referensi AWS SDK untuk JavaScript API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples). 

------
#### [ Python ]

**SDK untuk Python (Boto3)**  

```
class MedicalImagingWrapper:
    def __init__(self, health_imaging_client):
        self.health_imaging_client = health_imaging_client


    def delete_datastore(self, datastore_id):
        """
        Delete a data store.

        :param datastore_id: The ID of the data store.
        """
        try:
            self.health_imaging_client.delete_datastore(datastoreId=datastore_id)
        except ClientError as err:
            logger.error(
                "Couldn't delete data store %s. Here's why: %s: %s",
                datastore_id,
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
```
Kode berikut membuat instance objek. MedicalImagingWrapper   

```
    client = boto3.client("medical-imaging")
    medical_imaging_wrapper = MedicalImagingWrapper(client)
```
+  Untuk detail API, lihat [DeleteDatastore](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/DeleteDatastore)di *AWS SDK for Python (Boto3) Referensi* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/medical-imaging#code-examples). 

------
#### [ SAP ABAP ]

**SDK for SAP ABAP**  

```
    TRY.
        " iv_datastore_id = '1234567890123456789012345678901234567890'
        oo_result = lo_mig->deletedatastore( iv_datastoreid = iv_datastore_id ).
        MESSAGE 'Data store deleted.' TYPE 'I'.
      CATCH /aws1/cx_migaccessdeniedex.
        MESSAGE 'Access denied.' TYPE 'I'.
      CATCH /aws1/cx_migconflictexception.
        MESSAGE 'Conflict. Data store may contain resources.' TYPE 'I'.
      CATCH /aws1/cx_miginternalserverex.
        MESSAGE 'Internal server error.' TYPE 'I'.
      CATCH /aws1/cx_migresourcenotfoundex.
        MESSAGE 'Data store not found.' TYPE 'I'.
      CATCH /aws1/cx_migthrottlingex.
        MESSAGE 'Request throttled.' TYPE 'I'.
      CATCH /aws1/cx_migvalidationex.
        MESSAGE 'Validation error.' TYPE 'I'.
    ENDTRY.
```
+  Untuk detail API, lihat [DeleteDatastore](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)di *AWS SDK untuk referensi SAP ABAP* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/mig#code-examples). 

------

# Gunakan `DeleteImageSet` dengan AWS SDK atau CLI
<a name="medical-imaging_example_medical-imaging_DeleteImageSet_section"></a>

Contoh kode berikut menunjukkan cara menggunakan`DeleteImageSet`.

Contoh tindakan adalah kutipan kode dari program yang lebih besar dan harus dijalankan dalam konteks. Anda dapat melihat tindakan ini dalam konteks dalam contoh kode berikut: 
+  [Memulai dengan set gambar dan bingkai gambar](medical-imaging_example_medical-imaging_Scenario_ImageSetsAndFrames_section.md) 

------
#### [ C\$1\$1 ]

**SDK untuk C\$1\$1**  

```
//! Routine which deletes an AWS HealthImaging image set.
/*!
  \param dataStoreID: The HealthImaging data store ID.
  \param imageSetID: The image set ID.
  \param clientConfig: Aws client configuration.
  \return bool: Function succeeded.
  */
bool AwsDoc::Medical_Imaging::deleteImageSet(
        const Aws::String &dataStoreID, const Aws::String &imageSetID,
        const Aws::Client::ClientConfiguration &clientConfig) {
    Aws::MedicalImaging::MedicalImagingClient client(clientConfig);
    Aws::MedicalImaging::Model::DeleteImageSetRequest request;
    request.SetDatastoreId(dataStoreID);
    request.SetImageSetId(imageSetID);
    Aws::MedicalImaging::Model::DeleteImageSetOutcome outcome = client.DeleteImageSet(
            request);
    if (outcome.IsSuccess()) {
        std::cout << "Successfully deleted image set " << imageSetID
                  << " from data store " << dataStoreID << std::endl;
    }
    else {
        std::cerr << "Error deleting image set " << imageSetID << " from data store "
                  << dataStoreID << ": " <<
                  outcome.GetError().GetMessage() << std::endl;
    }

    return outcome.IsSuccess();
}
```
+  Untuk detail API, lihat [DeleteImageSet](https://docs.aws.amazon.com/goto/SdkForCpp/medical-imaging-2023-07-19/DeleteImageSet)di *Referensi AWS SDK untuk C\$1\$1 API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/cpp/example_code/medical-imaging/#code-examples). 

------
#### [ CLI ]

**AWS CLI**  
**Untuk menghapus kumpulan gambar**  
Contoh `delete-image-set` kode berikut menghapus set gambar.  

```
aws medical-imaging delete-image-set \
    --datastore-id 12345678901234567890123456789012 \
    --image-set-id ea92b0d8838c72a3f25d00d13616f87e
```
Output:  

```
{
    "imageSetWorkflowStatus": "DELETING",
    "imageSetId": "ea92b0d8838c72a3f25d00d13616f87e",
    "imageSetState": "LOCKED",
    "datastoreId": "12345678901234567890123456789012"
}
```
Untuk informasi selengkapnya, lihat [Menghapus set gambar](https://docs.aws.amazon.com/healthimaging/latest/devguide/delete-image-set.html) di *Panduan AWS HealthImaging Pengembang*.  
+  Untuk detail API, lihat [DeleteImageSet](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/medical-imaging/delete-image-set.html)di *Referensi AWS CLI Perintah*. 

------
#### [ Java ]

**SDK untuk Java 2.x**  

```
    public static void deleteMedicalImageSet(MedicalImagingClient medicalImagingClient,
            String datastoreId,
            String imagesetId) {
        try {
            DeleteImageSetRequest deleteImageSetRequest = DeleteImageSetRequest.builder()
                    .datastoreId(datastoreId)
                    .imageSetId(imagesetId)
                    .build();

            medicalImagingClient.deleteImageSet(deleteImageSetRequest);

            System.out.println("The image set was deleted.");
        } catch (MedicalImagingException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }
    }
```
+  Untuk detail API, lihat [DeleteImageSet](https://docs.aws.amazon.com/goto/SdkForJavaV2/medical-imaging-2023-07-19/DeleteImageSet)di *Referensi AWS SDK for Java 2.x API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/medicalimaging#code-examples). 

------
#### [ JavaScript ]

**SDK untuk JavaScript (v3)**  

```
import { DeleteImageSetCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} datastoreId - The data store ID.
 * @param {string} imageSetId - The image set ID.
 */
export const deleteImageSet = async (
  datastoreId = "xxxxxxxxxxxxxxxx",
  imageSetId = "xxxxxxxxxxxxxxxx",
) => {
  const response = await medicalImagingClient.send(
    new DeleteImageSetCommand({
      datastoreId: datastoreId,
      imageSetId: imageSetId,
    }),
  );
  console.log(response);
  // {
  //    '$metadata': {
  //         httpStatusCode: 200,
  //         requestId: '6267bbd2-eaa5-4a50-8ee8-8fddf535cf73',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  //     },
  //     datastoreId: 'xxxxxxxxxxxxxxxx',
  //     imageSetId: 'xxxxxxxxxxxxxxx',
  //     imageSetState: 'LOCKED',
  //     imageSetWorkflowStatus: 'DELETING'
  // }
  return response;
};
```
+  Untuk detail API, lihat [DeleteImageSet](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/DeleteImageSetCommand)di *Referensi AWS SDK untuk JavaScript API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples). 

------
#### [ Python ]

**SDK untuk Python (Boto3)**  

```
class MedicalImagingWrapper:
    def __init__(self, health_imaging_client):
        self.health_imaging_client = health_imaging_client


    def delete_image_set(self, datastore_id, image_set_id):
        """
        Delete an image set.

        :param datastore_id: The ID of the data store.
        :param image_set_id: The ID of the image set.
        :return: The delete results.
        """
        try:
            delete_results = self.health_imaging_client.delete_image_set(
                imageSetId=image_set_id, datastoreId=datastore_id
            )
        except ClientError as err:
            logger.error(
                "Couldn't delete image set. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return delete_results
```
Kode berikut membuat instance objek. MedicalImagingWrapper   

```
    client = boto3.client("medical-imaging")
    medical_imaging_wrapper = MedicalImagingWrapper(client)
```
+  Untuk detail API, lihat [DeleteImageSet](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/DeleteImageSet)di *AWS SDK for Python (Boto3) Referensi* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/medical-imaging#code-examples). 

------
#### [ SAP ABAP ]

**SDK for SAP ABAP**  

```
    TRY.
        " iv_datastore_id = '1234567890123456789012345678901234567890'
        " iv_image_set_id = '1234567890123456789012345678901234567890'
        oo_result = lo_mig->deleteimageset(
          iv_datastoreid = iv_datastore_id
          iv_imagesetid = iv_image_set_id ).
        MESSAGE 'Image set deleted.' TYPE 'I'.
      CATCH /aws1/cx_migaccessdeniedex.
        MESSAGE 'Access denied.' TYPE 'I'.
      CATCH /aws1/cx_migconflictexception.
        MESSAGE 'Conflict error.' TYPE 'I'.
      CATCH /aws1/cx_miginternalserverex.
        MESSAGE 'Internal server error.' TYPE 'I'.
      CATCH /aws1/cx_migresourcenotfoundex.
        MESSAGE 'Image set not found.' TYPE 'I'.
      CATCH /aws1/cx_migthrottlingex.
        MESSAGE 'Request throttled.' TYPE 'I'.
      CATCH /aws1/cx_migvalidationex.
        MESSAGE 'Validation error.' TYPE 'I'.
    ENDTRY.
```
+  Untuk detail API, lihat [DeleteImageSet](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)di *AWS SDK untuk referensi SAP ABAP* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/mig#code-examples). 

------

# Gunakan `GetDICOMImportJob` dengan AWS SDK atau CLI
<a name="medical-imaging_example_medical-imaging_GetDICOMImportJob_section"></a>

Contoh kode berikut menunjukkan cara menggunakan`GetDICOMImportJob`.

Contoh tindakan adalah kutipan kode dari program yang lebih besar dan harus dijalankan dalam konteks. Anda dapat melihat tindakan ini dalam konteks dalam contoh kode berikut: 
+  [Memulai dengan set gambar dan bingkai gambar](medical-imaging_example_medical-imaging_Scenario_ImageSetsAndFrames_section.md) 

------
#### [ C\$1\$1 ]

**SDK untuk C\$1\$1**  

```
//! Routine which gets a HealthImaging DICOM import job's properties.
/*!
  \param dataStoreID: The HealthImaging data store ID.
  \param importJobID: The DICOM import job ID
  \param clientConfig: Aws client configuration.
  \return GetDICOMImportJobOutcome: The import job outcome.
*/
Aws::MedicalImaging::Model::GetDICOMImportJobOutcome
AwsDoc::Medical_Imaging::getDICOMImportJob(const Aws::String &dataStoreID,
                                           const Aws::String &importJobID,
                                           const Aws::Client::ClientConfiguration &clientConfig) {
    Aws::MedicalImaging::MedicalImagingClient client(clientConfig);
    Aws::MedicalImaging::Model::GetDICOMImportJobRequest request;
    request.SetDatastoreId(dataStoreID);
    request.SetJobId(importJobID);
    Aws::MedicalImaging::Model::GetDICOMImportJobOutcome outcome = client.GetDICOMImportJob(
            request);
    if (!outcome.IsSuccess()) {
        std::cerr << "GetDICOMImportJob error: "
                  << outcome.GetError().GetMessage() << std::endl;
    }

    return outcome;
}
```
+  Untuk detail API, lihat [Mendapatkan DICOMImport Job](https://docs.aws.amazon.com/goto/SdkForCpp/medical-imaging-2023-07-19/GetDICOMImportJob) di *Referensi AWS SDK untuk C\$1\$1 API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/cpp/example_code/medical-imaging/#code-examples). 

------
#### [ CLI ]

**AWS CLI**  
**Untuk mendapatkan properti pekerjaan impor dicom**  
Contoh `get-dicom-import-job` kode berikut mendapatkan properti pekerjaan dicom import.  

```
aws medical-imaging get-dicom-import-job \
    --datastore-id "12345678901234567890123456789012" \
    --job-id "09876543210987654321098765432109"
```
Output:  

```
{
    "jobProperties": {
        "jobId": "09876543210987654321098765432109",
        "jobName": "my-job",
        "jobStatus": "COMPLETED",
        "datastoreId": "12345678901234567890123456789012",
        "dataAccessRoleArn": "arn:aws:iam::123456789012:role/ImportJobDataAccessRole",
        "endedAt": "2022-08-12T11:29:42.285000+00:00",
        "submittedAt": "2022-08-12T11:28:11.152000+00:00",
        "inputS3Uri": "s3://medical-imaging-dicom-input/dicom_input/",
        "outputS3Uri": "s3://medical-imaging-output/job_output/12345678901234567890123456789012-DicomImport-09876543210987654321098765432109/"
    }
}
```
Untuk informasi selengkapnya, lihat [Mendapatkan properti pekerjaan impor](https://docs.aws.amazon.com/healthimaging/latest/devguide/get-dicom-import-job.html) di *Panduan AWS HealthImaging Pengembang*.  
+  Untuk detail API, lihat [Mendapatkan DICOMImport Job](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/medical-imaging/get-dicom-import-job.html) di *Referensi AWS CLI Perintah*. 

------
#### [ Java ]

**SDK untuk Java 2.x**  

```
    public static DICOMImportJobProperties getDicomImportJob(MedicalImagingClient medicalImagingClient,
            String datastoreId,
            String jobId) {

        try {
            GetDicomImportJobRequest getDicomImportJobRequest = GetDicomImportJobRequest.builder()
                    .datastoreId(datastoreId)
                    .jobId(jobId)
                    .build();
            GetDicomImportJobResponse response = medicalImagingClient.getDICOMImportJob(getDicomImportJobRequest);
            return response.jobProperties();
        } catch (MedicalImagingException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }

        return null;
    }
```
+  Untuk detail API, lihat [Mendapatkan DICOMImport Job](https://docs.aws.amazon.com/goto/SdkForJavaV2/medical-imaging-2023-07-19/GetDICOMImportJob) di *Referensi AWS SDK for Java 2.x API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/medicalimaging#code-examples). 

------
#### [ JavaScript ]

**SDK untuk JavaScript (v3)**  

```
import { GetDICOMImportJobCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} datastoreId - The ID of the data store.
 * @param {string} jobId - The ID of the import job.
 */
export const getDICOMImportJob = async (
  datastoreId = "xxxxxxxxxxxxxxxxxxxx",
  jobId = "xxxxxxxxxxxxxxxxxxxx",
) => {
  const response = await medicalImagingClient.send(
    new GetDICOMImportJobCommand({ datastoreId: datastoreId, jobId: jobId }),
  );
  console.log(response);
  // {
  //     '$metadata': {
  //     httpStatusCode: 200,
  //         requestId: 'a2637936-78ea-44e7-98b8-7a87d95dfaee',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  // },
  //     jobProperties: {
  //         dataAccessRoleArn: 'arn:aws:iam::xxxxxxxxxxxx:role/dicom_import',
  //             datastoreId: 'xxxxxxxxxxxxxxxxxxxxxxxxx',
  //             endedAt: 2023-09-19T17:29:21.753Z,
  //             inputS3Uri: 's3://healthimaging-source/CTStudy/',
  //             jobId: ''xxxxxxxxxxxxxxxxxxxxxxxxx'',
  //             jobName: 'job_1',
  //             jobStatus: 'COMPLETED',
  //             outputS3Uri: 's3://health-imaging-dest/ouput_ct/'xxxxxxxxxxxxxxxxxxxxxxxxx'-DicomImport-'xxxxxxxxxxxxxxxxxxxxxxxxx'/',
  //             submittedAt: 2023-09-19T17:27:25.143Z
  //     }
  // }

  return response;
};
```
+  Untuk detail API, lihat [Mendapatkan DICOMImport Job](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/GetDICOMImportJobCommand) di *Referensi AWS SDK untuk JavaScript API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples). 

------
#### [ Python ]

**SDK untuk Python (Boto3)**  

```
class MedicalImagingWrapper:
    def __init__(self, health_imaging_client):
        self.health_imaging_client = health_imaging_client


    def get_dicom_import_job(self, datastore_id, job_id):
        """
        Get the properties of a DICOM import job.

        :param datastore_id: The ID of the data store.
        :param job_id: The ID of the job.
        :return: The job properties.
        """
        try:
            job = self.health_imaging_client.get_dicom_import_job(
                jobId=job_id, datastoreId=datastore_id
            )
        except ClientError as err:
            logger.error(
                "Couldn't get DICOM import job. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return job["jobProperties"]
```
Kode berikut membuat instance objek. MedicalImagingWrapper   

```
    client = boto3.client("medical-imaging")
    medical_imaging_wrapper = MedicalImagingWrapper(client)
```
+  Untuk detail API, lihat [Mendapatkan DICOMImport Job](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/GetDICOMImportJob) di *AWS SDK for Python (Boto3) Referensi* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/medical-imaging#code-examples). 

------
#### [ SAP ABAP ]

**SDK for SAP ABAP**  

```
    TRY.
        " iv_datastore_id = '1234567890123456789012345678901234567890'
        " iv_job_id = '12345678901234567890123456789012'
        oo_result = lo_mig->getdicomimportjob(
          iv_datastoreid = iv_datastore_id
          iv_jobid = iv_job_id ).
        DATA(lo_job_props) = oo_result->get_jobproperties( ).
        DATA(lv_job_status) = lo_job_props->get_jobstatus( ).
        MESSAGE |Job status: { lv_job_status }.| TYPE 'I'.
      CATCH /aws1/cx_migaccessdeniedex.
        MESSAGE 'Access denied.' TYPE 'I'.
      CATCH /aws1/cx_migconflictexception.
        MESSAGE 'Conflict error.' TYPE 'I'.
      CATCH /aws1/cx_miginternalserverex.
        MESSAGE 'Internal server error.' TYPE 'I'.
      CATCH /aws1/cx_migresourcenotfoundex.
        MESSAGE 'Job not found.' TYPE 'I'.
      CATCH /aws1/cx_migthrottlingex.
        MESSAGE 'Request throttled.' TYPE 'I'.
      CATCH /aws1/cx_migvalidationex.
        MESSAGE 'Validation error.' TYPE 'I'.
    ENDTRY.
```
+  Untuk detail API, lihat [Mendapatkan DICOMImport Job](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html) di *AWS SDK untuk referensi SAP ABAP* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/mig#code-examples). 

------

# Gunakan `GetDatastore` dengan AWS SDK atau CLI
<a name="medical-imaging_example_medical-imaging_GetDatastore_section"></a>

Contoh kode berikut menunjukkan cara menggunakan`GetDatastore`.

------
#### [ Bash ]

**AWS CLI dengan skrip Bash**  

```
###############################################################################
# function errecho
#
# This function outputs everything sent to it to STDERR (standard error output).
###############################################################################
function errecho() {
  printf "%s\n" "$*" 1>&2
}

###############################################################################
# function imaging_get_datastore
#
# Get a data store's properties.
#
# Parameters:
#       -i data_store_id - The ID of the data store.
#
# Returns:
#       [datastore_name, datastore_id, datastore_status, datastore_arn,  created_at, updated_at]
#    And:
#       0 - If successful.
#       1 - If it fails.
###############################################################################
function imaging_get_datastore() {
  local datastore_id option OPTARG # Required to use getopts command in a function.
  local error_code
  # bashsupport disable=BP5008
  function usage() {
    echo "function imaging_get_datastore"
    echo "Gets a data store's properties."
    echo "  -i datastore_id - The ID of the data store."
    echo ""
  }

  # Retrieve the calling parameters.
  while getopts "i:h" option; do
    case "${option}" in
      i) datastore_id="${OPTARG}" ;;
      h)
        usage
        return 0
        ;;
      \?)
        echo "Invalid parameter"
        usage
        return 1
        ;;
    esac
  done
  export OPTIND=1

  if [[ -z "$datastore_id" ]]; then
    errecho "ERROR: You must provide a data store ID with the -i parameter."
    usage
    return 1
  fi

  local response

  response=$(
    aws medical-imaging get-datastore \
      --datastore-id "$datastore_id" \
      --output text \
      --query "[ datastoreProperties.datastoreName,  datastoreProperties.datastoreId, datastoreProperties.datastoreStatus, datastoreProperties.datastoreArn,  datastoreProperties.createdAt, datastoreProperties.updatedAt]"
  )
  error_code=${?}

  if [[ $error_code -ne 0 ]]; then
    aws_cli_error_log $error_code
    errecho "ERROR: AWS reports list-datastores operation failed.$response"
    return 1
  fi

  echo "$response"

  return 0
}
```
+  Untuk detail API, lihat [GetDatastore](https://docs.aws.amazon.com/goto/aws-cli/medical-imaging-2023-07-19/GetDatastore)di *Referensi AWS CLI Perintah*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/aws-cli/bash-linux/medical-imaging#code-examples). 

------
#### [ CLI ]

**AWS CLI**  
**Contoh 1: Untuk mendapatkan properti penyimpanan data**  
Contoh `get-datastore` kode berikut mendapatkan properti penyimpanan data ini.  

```
aws medical-imaging get-datastore \
    --datastore-id 12345678901234567890123456789012
```
Output:  

```
{
    "datastoreProperties": {
        "datastoreId": "12345678901234567890123456789012",
        "datastoreName": "TestDatastore123",
        "datastoreStatus": "ACTIVE",
        "losslessStorageFormat": "HTJ2K"
        "datastoreArn": "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012",
        "createdAt": "2022-11-15T23:33:09.643000+00:00",
        "updatedAt": "2022-11-15T23:33:09.643000+00:00"
    }
}
```
**Contoh 2: Untuk mendapatkan properti penyimpanan data yang dikonfigurasi untuk JPEG2000**  
Contoh `get-datastore` kode berikut mendapatkan properti penyimpanan data untuk penyimpanan data yang dikonfigurasi untuk format penyimpanan Lossless JPEG 2000.  

```
aws medical-imaging get-datastore \
    --datastore-id 12345678901234567890123456789012
```
Output:  

```
{
    "datastoreProperties": {
        "datastoreId": "12345678901234567890123456789012",
        "datastoreName": "TestDatastore123",
        "datastoreStatus": "ACTIVE",
        "losslessStorageFormat": "JPEG_2000_LOSSLESS",
        "datastoreArn": "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012",
        "createdAt": "2022-11-15T23:33:09.643000+00:00",
        "updatedAt": "2022-11-15T23:33:09.643000+00:00"
    }
}
```
Untuk informasi selengkapnya, lihat [Mendapatkan properti penyimpanan data](https://docs.aws.amazon.com/healthimaging/latest/devguide/get-data-store.html) di *Panduan AWS HealthImaging Pengembang*.  
+  Untuk detail API, lihat [GetDatastore](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/medical-imaging/get-datastore.html)di *Referensi AWS CLI Perintah*. 

------
#### [ Java ]

**SDK untuk Java 2.x**  

```
    public static DatastoreProperties getMedicalImageDatastore(MedicalImagingClient medicalImagingClient,
            String datastoreID) {
        try {
            GetDatastoreRequest datastoreRequest = GetDatastoreRequest.builder()
                    .datastoreId(datastoreID)
                    .build();
            GetDatastoreResponse response = medicalImagingClient.getDatastore(datastoreRequest);
            return response.datastoreProperties();
        } catch (MedicalImagingException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }

        return null;
    }
```
+  Untuk detail API, lihat [GetDatastore](https://docs.aws.amazon.com/goto/SdkForJavaV2/medical-imaging-2023-07-19/GetDatastore)di *Referensi AWS SDK for Java 2.x API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/medicalimaging#code-examples). 

------
#### [ JavaScript ]

**SDK untuk JavaScript (v3)**  

```
import { GetDatastoreCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} datastoreID - The ID of the data store.
 */
export const getDatastore = async (datastoreID = "DATASTORE_ID") => {
  const response = await medicalImagingClient.send(
    new GetDatastoreCommand({ datastoreId: datastoreID }),
  );
  console.log(response);
  // {
  //   '$metadata': {
  //       httpStatusCode: 200,
  //       requestId: '55ea7d2e-222c-4a6a-871e-4f591f40cadb',
  //       extendedRequestId: undefined,
  //       cfId: undefined,
  //       attempts: 1,
  //       totalRetryDelay: 0
  //    },
  //   datastoreProperties: {
  //        createdAt: 2023-08-04T18:50:36.239Z,
  //         datastoreArn: 'arn:aws:medical-imaging:us-east-1:xxxxxxxxx:datastore/xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx',
  //         datastoreId: 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx',
  //         datastoreName: 'my_datastore',
  //         datastoreStatus: 'ACTIVE',
  //         updatedAt: 2023-08-04T18:50:36.239Z
  //   }
  // }
  return response.datastoreProperties;
};
```
+  Untuk detail API, lihat [GetDatastore](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/GetDatastoreCommand)di *Referensi AWS SDK untuk JavaScript API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples). 

------
#### [ Python ]

**SDK untuk Python (Boto3)**  

```
class MedicalImagingWrapper:
    def __init__(self, health_imaging_client):
        self.health_imaging_client = health_imaging_client


    def get_datastore_properties(self, datastore_id):
        """
        Get the properties of a data store.

        :param datastore_id: The ID of the data store.
        :return: The data store properties.
        """
        try:
            data_store = self.health_imaging_client.get_datastore(
                datastoreId=datastore_id
            )
        except ClientError as err:
            logger.error(
                "Couldn't get data store %s. Here's why: %s: %s",
                id,
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return data_store["datastoreProperties"]
```
Kode berikut membuat instance objek. MedicalImagingWrapper   

```
    client = boto3.client("medical-imaging")
    medical_imaging_wrapper = MedicalImagingWrapper(client)
```
+  Untuk detail API, lihat [GetDatastore](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/GetDatastore)di *AWS SDK for Python (Boto3) Referensi* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/medical-imaging#code-examples). 

------
#### [ SAP ABAP ]

**SDK for SAP ABAP**  

```
    TRY.
        " iv_datastore_id = '1234567890123456789012345678901234567890'
        oo_result = lo_mig->getdatastore( iv_datastoreid = iv_datastore_id ).
        DATA(lo_properties) = oo_result->get_datastoreproperties( ).
        DATA(lv_name) = lo_properties->get_datastorename( ).
        DATA(lv_status) = lo_properties->get_datastorestatus( ).
        MESSAGE 'Data store properties retrieved.' TYPE 'I'.
      CATCH /aws1/cx_migaccessdeniedex.
        MESSAGE 'Access denied.' TYPE 'I'.
      CATCH /aws1/cx_miginternalserverex.
        MESSAGE 'Internal server error.' TYPE 'I'.
      CATCH /aws1/cx_migresourcenotfoundex.
        MESSAGE 'Data store not found.' TYPE 'I'.
      CATCH /aws1/cx_migthrottlingex.
        MESSAGE 'Request throttled.' TYPE 'I'.
      CATCH /aws1/cx_migvalidationex.
        MESSAGE 'Validation error.' TYPE 'I'.
    ENDTRY.
```
+  Untuk detail API, lihat [GetDatastore](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)di *AWS SDK untuk referensi SAP ABAP* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/mig#code-examples). 

------

# Gunakan `GetImageFrame` dengan AWS SDK atau CLI
<a name="medical-imaging_example_medical-imaging_GetImageFrame_section"></a>

Contoh kode berikut menunjukkan cara menggunakan`GetImageFrame`.

Contoh tindakan adalah kutipan kode dari program yang lebih besar dan harus dijalankan dalam konteks. Anda dapat melihat tindakan ini dalam konteks dalam contoh kode berikut: 
+  [Memulai dengan set gambar dan bingkai gambar](medical-imaging_example_medical-imaging_Scenario_ImageSetsAndFrames_section.md) 

------
#### [ C\$1\$1 ]

**SDK untuk C\$1\$1**  

```
//! Routine which downloads an AWS HealthImaging image frame.
/*!
  \param dataStoreID: The HealthImaging data store ID.
  \param imageSetID: The image set ID.
  \param frameID: The image frame ID.
  \param jphFile: File to store the downloaded frame.
  \param clientConfig: Aws client configuration.
  \return bool: Function succeeded.
*/
bool AwsDoc::Medical_Imaging::getImageFrame(const Aws::String &dataStoreID,
                                            const Aws::String &imageSetID,
                                            const Aws::String &frameID,
                                            const Aws::String &jphFile,
                                            const Aws::Client::ClientConfiguration &clientConfig) {
    Aws::MedicalImaging::MedicalImagingClient client(clientConfig);

    Aws::MedicalImaging::Model::GetImageFrameRequest request;
    request.SetDatastoreId(dataStoreID);
    request.SetImageSetId(imageSetID);

    Aws::MedicalImaging::Model::ImageFrameInformation imageFrameInformation;
    imageFrameInformation.SetImageFrameId(frameID);
    request.SetImageFrameInformation(imageFrameInformation);

    Aws::MedicalImaging::Model::GetImageFrameOutcome outcome = client.GetImageFrame(
            request);

    if (outcome.IsSuccess()) {
        std::cout << "Successfully retrieved image frame." << std::endl;
        auto &buffer = outcome.GetResult().GetImageFrameBlob();

        std::ofstream outfile(jphFile, std::ios::binary);
        outfile << buffer.rdbuf();
    }
    else {
        std::cout << "Error retrieving image frame." << outcome.GetError().GetMessage()
                  << std::endl;

    }

    return outcome.IsSuccess();
}
```
+  Untuk detail API, lihat [GetImageFrame](https://docs.aws.amazon.com/goto/SdkForCpp/medical-imaging-2023-07-19/GetImageFrame)di *Referensi AWS SDK untuk C\$1\$1 API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/cpp/example_code/medical-imaging/#code-examples). 

------
#### [ CLI ]

**AWS CLI**  
**Untuk mendapatkan data piksel set gambar**  
Contoh `get-image-frame` kode berikut mendapat bingkai gambar.  

```
aws medical-imaging get-image-frame \
    --datastore-id "12345678901234567890123456789012" \
    --image-set-id "98765412345612345678907890789012" \
    --image-frame-information imageFrameId=3abf5d5d7ae72f80a0ec81b2c0de3ef4 \
    imageframe.jph
```
Catatan: Contoh kode ini tidak menyertakan output karena GetImageFrame tindakan mengembalikan aliran data piksel ke file imageframe.jph. Untuk informasi tentang decoding dan melihat bingkai gambar, lihat HTJ2 K decoding library.  
Untuk informasi selengkapnya, lihat [Mendapatkan data piksel yang disetel gambar](https://docs.aws.amazon.com/healthimaging/latest/devguide/get-image-frame.html) di *Panduan AWS HealthImaging Pengembang*.  
+  Untuk detail API, lihat [GetImageFrame](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/medical-imaging/get-image-frame.html)di *Referensi AWS CLI Perintah*. 

------
#### [ Java ]

**SDK untuk Java 2.x**  

```
        public static void getMedicalImageSetFrame(MedicalImagingClient medicalImagingClient,
                        String destinationPath,
                        String datastoreId,
                        String imagesetId,
                        String imageFrameId) {

                try {
                        GetImageFrameRequest getImageSetMetadataRequest = GetImageFrameRequest.builder()
                                        .datastoreId(datastoreId)
                                        .imageSetId(imagesetId)
                                        .imageFrameInformation(ImageFrameInformation.builder()
                                                        .imageFrameId(imageFrameId)
                                                        .build())
                                        .build();
                        medicalImagingClient.getImageFrame(getImageSetMetadataRequest,
                                        FileSystems.getDefault().getPath(destinationPath));

                        System.out.println("Image frame downloaded to " + destinationPath);
                } catch (MedicalImagingException e) {
                        System.err.println(e.awsErrorDetails().errorMessage());
                        System.exit(1);
                }
        }
```
+  Untuk detail API, lihat [GetImageFrame](https://docs.aws.amazon.com/goto/SdkForJavaV2/medical-imaging-2023-07-19/GetImageFrame)di *Referensi AWS SDK for Java 2.x API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/medicalimaging#code-examples). 

------
#### [ JavaScript ]

**SDK untuk JavaScript (v3)**  

```
import { GetImageFrameCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} imageFrameFileName - The name of the file for the HTJ2K-encoded image frame.
 * @param {string} datastoreID - The data store's ID.
 * @param {string} imageSetID - The image set's ID.
 * @param {string} imageFrameID - The image frame's ID.
 */
export const getImageFrame = async (
  imageFrameFileName = "image.jph",
  datastoreID = "DATASTORE_ID",
  imageSetID = "IMAGE_SET_ID",
  imageFrameID = "IMAGE_FRAME_ID",
) => {
  const response = await medicalImagingClient.send(
    new GetImageFrameCommand({
      datastoreId: datastoreID,
      imageSetId: imageSetID,
      imageFrameInformation: { imageFrameId: imageFrameID },
    }),
  );
  const buffer = await response.imageFrameBlob.transformToByteArray();
  writeFileSync(imageFrameFileName, buffer);

  console.log(response);
  // {
  //     '$metadata': {
  //         httpStatusCode: 200,
  //         requestId: 'e4ab42a5-25a3-4377-873f-374ecf4380e1',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  //     },
  //     contentType: 'application/octet-stream',
  //     imageFrameBlob: <ref *1> IncomingMessage {}
  // }
  return response;
};
```
+  Untuk detail API, lihat [GetImageFrame](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/GetImageFrameCommand)di *Referensi AWS SDK untuk JavaScript API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples). 

------
#### [ Python ]

**SDK untuk Python (Boto3)**  

```
class MedicalImagingWrapper:
    def __init__(self, health_imaging_client):
        self.health_imaging_client = health_imaging_client


    def get_pixel_data(
        self, file_path_to_write, datastore_id, image_set_id, image_frame_id
    ):
        """
        Get an image frame's pixel data.

        :param file_path_to_write: The path to write the image frame's HTJ2K encoded pixel data.
        :param datastore_id: The ID of the data store.
        :param image_set_id: The ID of the image set.
        :param image_frame_id: The ID of the image frame.
        """
        try:
            image_frame = self.health_imaging_client.get_image_frame(
                datastoreId=datastore_id,
                imageSetId=image_set_id,
                imageFrameInformation={"imageFrameId": image_frame_id},
            )
            with open(file_path_to_write, "wb") as f:
                for chunk in image_frame["imageFrameBlob"].iter_chunks():
                    if chunk:
                        f.write(chunk)
        except ClientError as err:
            logger.error(
                "Couldn't get image frame. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
```
Kode berikut membuat instance objek. MedicalImagingWrapper   

```
    client = boto3.client("medical-imaging")
    medical_imaging_wrapper = MedicalImagingWrapper(client)
```
+  Untuk detail API, lihat [GetImageFrame](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/GetImageFrame)di *AWS SDK for Python (Boto3) Referensi* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/medical-imaging#code-examples). 

------
#### [ SAP ABAP ]

**SDK for SAP ABAP**  

```
    TRY.
        " iv_datastore_id = '1234567890123456789012345678901234567890'
        " iv_image_set_id = '1234567890123456789012345678901234567890'
        " iv_image_frame_id = '1234567890123456789012345678901234567890'
        oo_result = lo_mig->getimageframe(
          iv_datastoreid = iv_datastore_id
          iv_imagesetid = iv_image_set_id
          io_imageframeinformation = NEW /aws1/cl_migimageframeinfmtion(
            iv_imageframeid = iv_image_frame_id ) ).
        DATA(lv_frame_blob) = oo_result->get_imageframeblob( ).
        MESSAGE 'Image frame retrieved.' TYPE 'I'.
      CATCH /aws1/cx_migaccessdeniedex.
        MESSAGE 'Access denied.' TYPE 'I'.
      CATCH /aws1/cx_migconflictexception.
        MESSAGE 'Conflict error.' TYPE 'I'.
      CATCH /aws1/cx_miginternalserverex.
        MESSAGE 'Internal server error.' TYPE 'I'.
      CATCH /aws1/cx_migresourcenotfoundex.
        MESSAGE 'Image frame not found.' TYPE 'I'.
      CATCH /aws1/cx_migthrottlingex.
        MESSAGE 'Request throttled.' TYPE 'I'.
      CATCH /aws1/cx_migvalidationex.
        MESSAGE 'Validation error.' TYPE 'I'.
    ENDTRY.
```
+  Untuk detail API, lihat [GetImageFrame](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)di *AWS SDK untuk referensi SAP ABAP* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/mig#code-examples). 

------

# Gunakan `GetImageSet` dengan AWS SDK atau CLI
<a name="medical-imaging_example_medical-imaging_GetImageSet_section"></a>

Contoh kode berikut menunjukkan cara menggunakan`GetImageSet`.

------
#### [ CLI ]

**AWS CLI**  
**Untuk mendapatkan properti set gambar**  
Contoh `get-image-set` kode berikut mendapatkan properti untuk set gambar.  

```
aws medical-imaging get-image-set \
    --datastore-id 12345678901234567890123456789012 \
    --image-set-id 18f88ac7870584f58d56256646b4d92b \
    --version-id 1
```
Output:  

```
{
    "versionId": "1",
    "imageSetWorkflowStatus": "COPIED",
    "updatedAt": 1680027253.471,
    "imageSetId": "18f88ac7870584f58d56256646b4d92b",
    "imageSetState": "ACTIVE",
    "createdAt": 1679592510.753,
    "datastoreId": "12345678901234567890123456789012"
}
```
Untuk informasi selengkapnya, lihat [Mendapatkan properti set gambar](https://docs.aws.amazon.com/healthimaging/latest/devguide/get-image-set-properties.html) di *Panduan AWS HealthImaging Pengembang*.  
+  Untuk detail API, lihat [GetImageSet](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/medical-imaging/get-image-set.html)di *Referensi AWS CLI Perintah*. 

------
#### [ Java ]

**SDK untuk Java 2.x**  

```
    public static GetImageSetResponse getMedicalImageSet(MedicalImagingClient medicalImagingClient,
            String datastoreId,
            String imagesetId,
            String versionId) {
        try {
            GetImageSetRequest.Builder getImageSetRequestBuilder = GetImageSetRequest.builder()
                    .datastoreId(datastoreId)
                    .imageSetId(imagesetId);

            if (versionId != null) {
                getImageSetRequestBuilder = getImageSetRequestBuilder.versionId(versionId);
            }

            return medicalImagingClient.getImageSet(getImageSetRequestBuilder.build());
        } catch (MedicalImagingException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }

        return null;
    }
```
+  Untuk detail API, lihat [GetImageSet](https://docs.aws.amazon.com/goto/SdkForJavaV2/medical-imaging-2023-07-19/GetImageSet)di *Referensi AWS SDK for Java 2.x API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/medicalimaging#code-examples). 

------
#### [ JavaScript ]

**SDK untuk JavaScript (v3)**  

```
import { GetImageSetCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} datastoreId - The ID of the data store.
 * @param {string} imageSetId - The ID of the image set.
 * @param {string} imageSetVersion - The optional version of the image set.
 *
 */
export const getImageSet = async (
  datastoreId = "xxxxxxxxxxxxxxx",
  imageSetId = "xxxxxxxxxxxxxxx",
  imageSetVersion = "",
) => {
  const params = { datastoreId: datastoreId, imageSetId: imageSetId };
  if (imageSetVersion !== "") {
    params.imageSetVersion = imageSetVersion;
  }
  const response = await medicalImagingClient.send(
    new GetImageSetCommand(params),
  );
  console.log(response);
  // {
  //     '$metadata': {
  //     httpStatusCode: 200,
  //         requestId: '0615c161-410d-4d06-9d8c-6e1241bb0a5a',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  // },
  //     createdAt: 2023-09-22T14:49:26.427Z,
  //     datastoreId: 'xxxxxxxxxxxxxxx',
  //     imageSetArn: 'arn:aws:medical-imaging:us-east-1:xxxxxxxxxx:datastore/xxxxxxxxxxxxxxxxxxxx/imageset/xxxxxxxxxxxxxxxxxxxx',
  //     imageSetId: 'xxxxxxxxxxxxxxx',
  //     imageSetState: 'ACTIVE',
  //     imageSetWorkflowStatus: 'CREATED',
  //     updatedAt: 2023-09-22T14:49:26.427Z,
  //     versionId: '1'
  // }

  return response;
};
```
+  Untuk detail API, lihat [GetImageSet](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/GetImageSetCommand)di *Referensi AWS SDK untuk JavaScript API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples). 

------
#### [ Python ]

**SDK untuk Python (Boto3)**  

```
class MedicalImagingWrapper:
    def __init__(self, health_imaging_client):
        self.health_imaging_client = health_imaging_client


    def get_image_set(self, datastore_id, image_set_id, version_id=None):
        """
        Get the properties of an image set.

        :param datastore_id: The ID of the data store.
        :param image_set_id: The ID of the image set.
        :param version_id: The optional version of the image set.
        :return: The image set properties.
        """
        try:
            if version_id:
                image_set = self.health_imaging_client.get_image_set(
                    imageSetId=image_set_id,
                    datastoreId=datastore_id,
                    versionId=version_id,
                )
            else:
                image_set = self.health_imaging_client.get_image_set(
                    imageSetId=image_set_id, datastoreId=datastore_id
                )
        except ClientError as err:
            logger.error(
                "Couldn't get image set. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return image_set
```
Kode berikut membuat instance objek. MedicalImagingWrapper   

```
    client = boto3.client("medical-imaging")
    medical_imaging_wrapper = MedicalImagingWrapper(client)
```
+  Untuk detail API, lihat [GetImageSet](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/GetImageSet)di *AWS SDK for Python (Boto3) Referensi* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/medical-imaging#code-examples). 

------
#### [ SAP ABAP ]

**SDK for SAP ABAP**  

```
    TRY.
        " iv_datastore_id = '1234567890123456789012345678901234567890'
        " iv_image_set_id = '1234567890123456789012345678901234567890'
        " iv_version_id = '1' (optional)
        IF iv_version_id IS NOT INITIAL.
          oo_result = lo_mig->getimageset(
            iv_datastoreid = iv_datastore_id
            iv_imagesetid = iv_image_set_id
            iv_versionid = iv_version_id ).
        ELSE.
          oo_result = lo_mig->getimageset(
            iv_datastoreid = iv_datastore_id
            iv_imagesetid = iv_image_set_id ).
        ENDIF.
        DATA(lv_state) = oo_result->get_imagesetstate( ).
        MESSAGE |Image set retrieved with state: { lv_state }.| TYPE 'I'.
      CATCH /aws1/cx_migaccessdeniedex.
        MESSAGE 'Access denied.' TYPE 'I'.
      CATCH /aws1/cx_migconflictexception.
        MESSAGE 'Conflict error.' TYPE 'I'.
      CATCH /aws1/cx_miginternalserverex.
        MESSAGE 'Internal server error.' TYPE 'I'.
      CATCH /aws1/cx_migresourcenotfoundex.
        MESSAGE 'Image set not found.' TYPE 'I'.
      CATCH /aws1/cx_migthrottlingex.
        MESSAGE 'Request throttled.' TYPE 'I'.
      CATCH /aws1/cx_migvalidationex.
        MESSAGE 'Validation error.' TYPE 'I'.
    ENDTRY.
```
+  Untuk detail API, lihat [GetImageSet](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)di *AWS SDK untuk referensi SAP ABAP* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/mig#code-examples). 

------

# Gunakan `GetImageSetMetadata` dengan AWS SDK atau CLI
<a name="medical-imaging_example_medical-imaging_GetImageSetMetadata_section"></a>

Contoh kode berikut menunjukkan cara menggunakan`GetImageSetMetadata`.

Contoh tindakan adalah kutipan kode dari program yang lebih besar dan harus dijalankan dalam konteks. Anda dapat melihat tindakan ini dalam konteks dalam contoh kode berikut: 
+  [Memulai dengan set gambar dan bingkai gambar](medical-imaging_example_medical-imaging_Scenario_ImageSetsAndFrames_section.md) 

------
#### [ C\$1\$1 ]

**SDK untuk C\$1\$1**  
Fungsi utilitas untuk mendapatkan metadata set gambar.  

```
//! Routine which gets a HealthImaging image set's metadata.
/*!
  \param dataStoreID: The HealthImaging data store ID.
  \param imageSetID: The HealthImaging image set ID.
  \param versionID: The HealthImaging image set version ID, ignored if empty.
  \param outputFilePath: The path where the metadata will be stored as gzipped json.
  \param clientConfig: Aws client configuration.
  \\return bool: Function succeeded.
*/
bool AwsDoc::Medical_Imaging::getImageSetMetadata(const Aws::String &dataStoreID,
                                                  const Aws::String &imageSetID,
                                                  const Aws::String &versionID,
                                                  const Aws::String &outputFilePath,
                                                  const Aws::Client::ClientConfiguration &clientConfig) {
    Aws::MedicalImaging::Model::GetImageSetMetadataRequest request;
    request.SetDatastoreId(dataStoreID);
    request.SetImageSetId(imageSetID);
    if (!versionID.empty()) {
        request.SetVersionId(versionID);
    }
    Aws::MedicalImaging::MedicalImagingClient client(clientConfig);
    Aws::MedicalImaging::Model::GetImageSetMetadataOutcome outcome = client.GetImageSetMetadata(
            request);
    if (outcome.IsSuccess()) {
        std::ofstream file(outputFilePath, std::ios::binary);
        auto &metadata = outcome.GetResult().GetImageSetMetadataBlob();
        file << metadata.rdbuf();
    }
    else {
        std::cerr << "Failed to get image set metadata: "
                  << outcome.GetError().GetMessage() << std::endl;
    }

    return outcome.IsSuccess();
}
```
Dapatkan metadata set gambar tanpa versi.  

```
        if (AwsDoc::Medical_Imaging::getImageSetMetadata(dataStoreID, imageSetID, "", outputFilePath, clientConfig))
        {
            std::cout << "Successfully retrieved image set metadata." << std::endl;
            std::cout << "Metadata stored in: " << outputFilePath << std::endl;
        }
```
Dapatkan metadata set gambar dengan versi.  

```
        if (AwsDoc::Medical_Imaging::getImageSetMetadata(dataStoreID, imageSetID, versionID, outputFilePath, clientConfig))
        {
            std::cout << "Successfully retrieved image set metadata." << std::endl;
            std::cout << "Metadata stored in: " << outputFilePath << std::endl;
        }
```
+  Untuk detail API, lihat [GetImageSetMetadata](https://docs.aws.amazon.com/goto/SdkForCpp/medical-imaging-2023-07-19/GetImageSetMetadata)di *Referensi AWS SDK untuk C\$1\$1 API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/cpp/example_code/medical-imaging/#code-examples). 

------
#### [ CLI ]

**AWS CLI**  
**Contoh 1: Untuk mendapatkan metadata set gambar tanpa versi**  
Contoh `get-image-set-metadata` kode berikut mendapatkan metadata untuk kumpulan gambar tanpa menentukan versi.  
Catatan: `outfile` adalah parameter yang diperlukan  

```
aws medical-imaging get-image-set-metadata \
    --datastore-id 12345678901234567890123456789012 \
    --image-set-id ea92b0d8838c72a3f25d00d13616f87e \
    studymetadata.json.gz
```
Metadata yang dikembalikan dikompresi dengan gzip dan disimpan dalam file studymetadata.json.gz. Untuk melihat isi objek JSON yang dikembalikan, Anda harus terlebih dahulu mendekompresnya.  
Output:  

```
{
    "contentType": "application/json",
    "contentEncoding": "gzip"
}
```
**Contoh 2: Untuk mendapatkan metadata set gambar dengan versi**  
Contoh `get-image-set-metadata` kode berikut mendapatkan metadata untuk set gambar dengan versi tertentu.  
Catatan: `outfile` adalah parameter yang diperlukan  

```
aws medical-imaging get-image-set-metadata \
    --datastore-id 12345678901234567890123456789012 \
    --image-set-id ea92b0d8838c72a3f25d00d13616f87e \
    --version-id 1 \
    studymetadata.json.gz
```
Metadata yang dikembalikan dikompresi dengan gzip dan disimpan dalam file studymetadata.json.gz. Untuk melihat isi objek JSON yang dikembalikan, Anda harus terlebih dahulu mendekompresnya.  
Output:  

```
{
    "contentType": "application/json",
    "contentEncoding": "gzip"
}
```
Untuk informasi selengkapnya, lihat [Mendapatkan metadata set gambar](https://docs.aws.amazon.com/healthimaging/latest/devguide/get-image-set-metadata.html) di Panduan *AWS HealthImaging Pengembang*.  
+  Untuk detail API, lihat [GetImageSetMetadata](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/medical-imaging/get-image-set-metadata.html)di *Referensi AWS CLI Perintah*. 

------
#### [ Java ]

**SDK untuk Java 2.x**  

```
    public static void getMedicalImageSetMetadata(MedicalImagingClient medicalImagingClient,
            String destinationPath,
            String datastoreId,
            String imagesetId,
            String versionId) {

        try {
            GetImageSetMetadataRequest.Builder getImageSetMetadataRequestBuilder = GetImageSetMetadataRequest.builder()
                    .datastoreId(datastoreId)
                    .imageSetId(imagesetId);

            if (versionId != null) {
                getImageSetMetadataRequestBuilder = getImageSetMetadataRequestBuilder.versionId(versionId);
            }

            medicalImagingClient.getImageSetMetadata(getImageSetMetadataRequestBuilder.build(),
                    FileSystems.getDefault().getPath(destinationPath));

            System.out.println("Metadata downloaded to " + destinationPath);
        } catch (MedicalImagingException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }
    }
```
+  Untuk detail API, lihat [GetImageSetMetadata](https://docs.aws.amazon.com/goto/SdkForJavaV2/medical-imaging-2023-07-19/GetImageSetMetadata)di *Referensi AWS SDK for Java 2.x API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/medicalimaging#code-examples). 

------
#### [ JavaScript ]

**SDK untuk JavaScript (v3)**  
Fungsi utilitas untuk mendapatkan metadata set gambar.  

```
import { GetImageSetMetadataCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";
import { writeFileSync } from "node:fs";

/**
 * @param {string} metadataFileName - The name of the file for the gzipped metadata.
 * @param {string} datastoreId - The ID of the data store.
 * @param {string} imagesetId - The ID of the image set.
 * @param {string} versionID - The optional version ID of the image set.
 */
export const getImageSetMetadata = async (
  metadataFileName = "metadata.json.gzip",
  datastoreId = "xxxxxxxxxxxxxx",
  imagesetId = "xxxxxxxxxxxxxx",
  versionID = "",
) => {
  const params = { datastoreId: datastoreId, imageSetId: imagesetId };

  if (versionID) {
    params.versionID = versionID;
  }

  const response = await medicalImagingClient.send(
    new GetImageSetMetadataCommand(params),
  );
  const buffer = await response.imageSetMetadataBlob.transformToByteArray();
  writeFileSync(metadataFileName, buffer);

  console.log(response);
  // {
  //     '$metadata': {
  //     httpStatusCode: 200,
  //         requestId: '5219b274-30ff-4986-8cab-48753de3a599',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  // },
  //     contentType: 'application/json',
  //     contentEncoding: 'gzip',
  //     imageSetMetadataBlob: <ref *1> IncomingMessage {}
  // }

  return response;
};
```
Dapatkan metadata set gambar tanpa versi.  

```
  try {
    await getImageSetMetadata(
      "metadata.json.gzip",
      "12345678901234567890123456789012",
      "12345678901234567890123456789012",
    );
  } catch (err) {
    console.log("Error", err);
  }
```
Dapatkan metadata set gambar dengan versi.  

```
  try {
    await getImageSetMetadata(
      "metadata2.json.gzip",
      "12345678901234567890123456789012",
      "12345678901234567890123456789012",
      "1",
    );
  } catch (err) {
    console.log("Error", err);
  }
```
+  Untuk detail API, lihat [GetImageSetMetadata](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/GetImageSetMetadataCommand)di *Referensi AWS SDK untuk JavaScript API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples). 

------
#### [ Python ]

**SDK untuk Python (Boto3)**  
Fungsi utilitas untuk mendapatkan metadata set gambar.  

```
class MedicalImagingWrapper:
    def __init__(self, health_imaging_client):
        self.health_imaging_client = health_imaging_client


    def get_image_set_metadata(
        self, metadata_file, datastore_id, image_set_id, version_id=None
    ):
        """
        Get the metadata of an image set.

        :param metadata_file: The file to store the JSON gzipped metadata.
        :param datastore_id: The ID of the data store.
        :param image_set_id: The ID of the image set.
        :param version_id: The version of the image set.
        """
        try:
            if version_id:
                image_set_metadata = self.health_imaging_client.get_image_set_metadata(
                    imageSetId=image_set_id,
                    datastoreId=datastore_id,
                    versionId=version_id,
                )
            else:

                image_set_metadata = self.health_imaging_client.get_image_set_metadata(
                    imageSetId=image_set_id, datastoreId=datastore_id
                )
            print(image_set_metadata)
            with open(metadata_file, "wb") as f:
                for chunk in image_set_metadata["imageSetMetadataBlob"].iter_chunks():
                    if chunk:
                        f.write(chunk)

        except ClientError as err:
            logger.error(
                "Couldn't get image metadata. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
```
Dapatkan metadata set gambar tanpa versi.  

```
                image_set_metadata = self.health_imaging_client.get_image_set_metadata(
                    imageSetId=image_set_id, datastoreId=datastore_id
                )
```
Dapatkan metadata set gambar dengan versi.  

```
                image_set_metadata = self.health_imaging_client.get_image_set_metadata(
                    imageSetId=image_set_id,
                    datastoreId=datastore_id,
                    versionId=version_id,
                )
```
Kode berikut membuat instance objek. MedicalImagingWrapper   

```
    client = boto3.client("medical-imaging")
    medical_imaging_wrapper = MedicalImagingWrapper(client)
```
+  Untuk detail API, lihat [GetImageSetMetadata](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/GetImageSetMetadata)di *AWS SDK for Python (Boto3) Referensi* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/medical-imaging#code-examples). 

------
#### [ SAP ABAP ]

**SDK for SAP ABAP**  

```
    TRY.
        " iv_datastore_id = '1234567890123456789012345678901234567890'
        " iv_image_set_id = '1234567890123456789012345678901234567890'
        " iv_version_id = '1' (optional)
        IF iv_version_id IS NOT INITIAL.
          oo_result = lo_mig->getimagesetmetadata(
            iv_datastoreid = iv_datastore_id
            iv_imagesetid = iv_image_set_id
            iv_versionid = iv_version_id ).
        ELSE.
          oo_result = lo_mig->getimagesetmetadata(
            iv_datastoreid = iv_datastore_id
            iv_imagesetid = iv_image_set_id ).
        ENDIF.
        DATA(lv_metadata_blob) = oo_result->get_imagesetmetadatablob( ).
        MESSAGE 'Image set metadata retrieved.' TYPE 'I'.
      CATCH /aws1/cx_migaccessdeniedex.
        MESSAGE 'Access denied.' TYPE 'I'.
      CATCH /aws1/cx_migconflictexception.
        MESSAGE 'Conflict error.' TYPE 'I'.
      CATCH /aws1/cx_miginternalserverex.
        MESSAGE 'Internal server error.' TYPE 'I'.
      CATCH /aws1/cx_migresourcenotfoundex.
        MESSAGE 'Image set not found.' TYPE 'I'.
      CATCH /aws1/cx_migthrottlingex.
        MESSAGE 'Request throttled.' TYPE 'I'.
      CATCH /aws1/cx_migvalidationex.
        MESSAGE 'Validation error.' TYPE 'I'.
    ENDTRY.
```
+  Untuk detail API, lihat [GetImageSetMetadata](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)di *AWS SDK untuk referensi SAP ABAP* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/mig#code-examples). 

------

# Gunakan `ListDICOMImportJobs` dengan AWS SDK atau CLI
<a name="medical-imaging_example_medical-imaging_ListDICOMImportJobs_section"></a>

Contoh kode berikut menunjukkan cara menggunakan`ListDICOMImportJobs`.

------
#### [ CLI ]

**AWS CLI**  
**Untuk daftar pekerjaan dicom import**  
Contoh `list-dicom-import-jobs` kode berikut mencantumkan pekerjaan impor dicom.  

```
aws medical-imaging list-dicom-import-jobs \
    --datastore-id "12345678901234567890123456789012"
```
Output:  

```
{
    "jobSummaries": [
        {
            "jobId": "09876543210987654321098765432109",
            "jobName": "my-job",
            "jobStatus": "COMPLETED",
            "datastoreId": "12345678901234567890123456789012",
            "dataAccessRoleArn": "arn:aws:iam::123456789012:role/ImportJobDataAccessRole",
            "endedAt": "2022-08-12T11:21:56.504000+00:00",
            "submittedAt": "2022-08-12T11:20:21.734000+00:00"
        }
    ]
}
```
Untuk informasi selengkapnya, lihat [Daftar lowongan impor](https://docs.aws.amazon.com/healthimaging/latest/devguide/list-dicom-import-jobs.html) di *Panduan AWS HealthImaging Pengembang*.  
+  Untuk detail API, lihat [Daftar DICOMImport Pekerjaan](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/medical-imaging/list-dicom-import-jobs.html) di *Referensi AWS CLI Perintah*. 

------
#### [ Java ]

**SDK untuk Java 2.x**  

```
    public static List<DICOMImportJobSummary> listDicomImportJobs(MedicalImagingClient medicalImagingClient,
            String datastoreId) {

        try {
            ListDicomImportJobsRequest listDicomImportJobsRequest = ListDicomImportJobsRequest.builder()
                    .datastoreId(datastoreId)
                    .build();
            ListDicomImportJobsResponse response = medicalImagingClient.listDICOMImportJobs(listDicomImportJobsRequest);
            return response.jobSummaries();
        } catch (MedicalImagingException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }

        return new ArrayList<>();
    }
```
+  Untuk detail API, lihat [Daftar DICOMImport Pekerjaan](https://docs.aws.amazon.com/goto/SdkForJavaV2/medical-imaging-2023-07-19/ListDICOMImportJobs) di *Referensi AWS SDK for Java 2.x API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/medicalimaging#code-examples). 

------
#### [ JavaScript ]

**SDK untuk JavaScript (v3)**  

```
import { paginateListDICOMImportJobs } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} datastoreId - The ID of the data store.
 */
export const listDICOMImportJobs = async (
  datastoreId = "xxxxxxxxxxxxxxxxxx",
) => {
  const paginatorConfig = {
    client: medicalImagingClient,
    pageSize: 50,
  };

  const commandParams = { datastoreId: datastoreId };
  const paginator = paginateListDICOMImportJobs(paginatorConfig, commandParams);

  const jobSummaries = [];
  for await (const page of paginator) {
    // Each page contains a list of `jobSummaries`. The list is truncated if is larger than `pageSize`.
    jobSummaries.push(...page.jobSummaries);
    console.log(page);
  }
  // {
  //     '$metadata': {
  //     httpStatusCode: 200,
  //         requestId: '3c20c66e-0797-446a-a1d8-91b742fd15a0',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  // },
  //     jobSummaries: [
  //         {
  //             dataAccessRoleArn: 'arn:aws:iam::xxxxxxxxxxxx:role/dicom_import',
  //             datastoreId: 'xxxxxxxxxxxxxxxxxxxxxxxxx',
  //             endedAt: 2023-09-22T14:49:51.351Z,
  //             jobId: 'xxxxxxxxxxxxxxxxxxxxxxxxx',
  //             jobName: 'test-1',
  //             jobStatus: 'COMPLETED',
  //             submittedAt: 2023-09-22T14:48:45.767Z
  // }
  // ]}

  return jobSummaries;
};
```
+  Untuk detail API, lihat [Daftar DICOMImport Pekerjaan](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/ListDICOMImportJobsCommand) di *Referensi AWS SDK untuk JavaScript API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples). 

------
#### [ Python ]

**SDK untuk Python (Boto3)**  

```
class MedicalImagingWrapper:
    def __init__(self, health_imaging_client):
        self.health_imaging_client = health_imaging_client


    def list_dicom_import_jobs(self, datastore_id):
        """
        List the DICOM import jobs.

        :param datastore_id: The ID of the data store.
        :return: The list of jobs.
        """
        try:
            paginator = self.health_imaging_client.get_paginator(
                "list_dicom_import_jobs"
            )
            page_iterator = paginator.paginate(datastoreId=datastore_id)
            job_summaries = []
            for page in page_iterator:
                job_summaries.extend(page["jobSummaries"])
        except ClientError as err:
            logger.error(
                "Couldn't list DICOM import jobs. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return job_summaries
```
Kode berikut membuat instance objek. MedicalImagingWrapper   

```
    client = boto3.client("medical-imaging")
    medical_imaging_wrapper = MedicalImagingWrapper(client)
```
+  Untuk detail API, lihat [Daftar DICOMImport Lowongan](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/ListDICOMImportJobs) di *AWS SDK for Python (Boto3) Referensi* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/medical-imaging#code-examples). 

------
#### [ SAP ABAP ]

**SDK for SAP ABAP**  

```
    TRY.
        " iv_datastore_id = '1234567890123456789012345678901234567890'
        oo_result = lo_mig->listdicomimportjobs( iv_datastoreid = iv_datastore_id ).
        DATA(lt_jobs) = oo_result->get_jobsummaries( ).
        DATA(lv_count) = lines( lt_jobs ).
        MESSAGE |Found { lv_count } DICOM import jobs.| TYPE 'I'.
      CATCH /aws1/cx_migaccessdeniedex.
        MESSAGE 'Access denied.' TYPE 'I'.
      CATCH /aws1/cx_migconflictexception.
        MESSAGE 'Conflict error.' TYPE 'I'.
      CATCH /aws1/cx_miginternalserverex.
        MESSAGE 'Internal server error.' TYPE 'I'.
      CATCH /aws1/cx_migresourcenotfoundex.
        MESSAGE 'Resource not found.' TYPE 'I'.
      CATCH /aws1/cx_migthrottlingex.
        MESSAGE 'Request throttled.' TYPE 'I'.
      CATCH /aws1/cx_migvalidationex.
        MESSAGE 'Validation error.' TYPE 'I'.
    ENDTRY.
```
+  Untuk detail API, lihat [Daftar DICOMImport Lowongan](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html) di *AWS SDK untuk referensi SAP ABAP* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/mig#code-examples). 

------

# Gunakan `ListDatastores` dengan AWS SDK atau CLI
<a name="medical-imaging_example_medical-imaging_ListDatastores_section"></a>

Contoh kode berikut menunjukkan cara menggunakan`ListDatastores`.

------
#### [ Bash ]

**AWS CLI dengan skrip Bash**  

```
###############################################################################
# function errecho
#
# This function outputs everything sent to it to STDERR (standard error output).
###############################################################################
function errecho() {
  printf "%s\n" "$*" 1>&2
}

###############################################################################
# function imaging_list_datastores
#
# List the HealthImaging data stores in the account.
#
# Returns:
#       [[datastore_name, datastore_id, datastore_status]]
#    And:
#       0 - If successful.
#       1 - If it fails.
###############################################################################
function imaging_list_datastores() {
  local option OPTARG # Required to use getopts command in a function.
  local error_code
  # bashsupport disable=BP5008
  function usage() {
    echo "function imaging_list_datastores"
    echo "Lists the AWS HealthImaging data stores in the account."
    echo ""
  }

  # Retrieve the calling parameters.
  while getopts "h" option; do
    case "${option}" in
      h)
        usage
        return 0
        ;;
      \?)
        echo "Invalid parameter"
        usage
        return 1
        ;;
    esac
  done
  export OPTIND=1

  local response
  response=$(aws medical-imaging list-datastores \
    --output text \
    --query "datastoreSummaries[*][datastoreName, datastoreId, datastoreStatus]")
  error_code=${?}

  if [[ $error_code -ne 0 ]]; then
    aws_cli_error_log $error_code
    errecho "ERROR: AWS reports list-datastores operation failed.$response"
    return 1
  fi

  echo "$response"

  return 0
}
```
+  Untuk detail API, lihat [ListDatastores](https://docs.aws.amazon.com/goto/aws-cli/medical-imaging-2023-07-19/ListDatastores)di *Referensi AWS CLI Perintah*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/aws-cli/bash-linux/medical-imaging#code-examples). 

------
#### [ CLI ]

**AWS CLI**  
**Untuk daftar penyimpanan data**  
Contoh `list-datastores` kode berikut mencantumkan penyimpanan data yang tersedia.  

```
aws medical-imaging list-datastores
```
Output:  

```
{
    "datastoreSummaries": [
        {
            "datastoreId": "12345678901234567890123456789012",
            "datastoreName": "TestDatastore123",
            "datastoreStatus": "ACTIVE",
            "datastoreArn": "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012",
            "createdAt": "2022-11-15T23:33:09.643000+00:00",
            "updatedAt": "2022-11-15T23:33:09.643000+00:00"
        }
    ]
}
```
Untuk informasi selengkapnya, lihat [Menyimpan penyimpanan data](https://docs.aws.amazon.com/healthimaging/latest/devguide/list-data-stores.html) di *Panduan AWS HealthImaging Pengembang*.  
+  Untuk detail API, lihat [ListDatastores](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/medical-imaging/list-datastores.html)di *Referensi AWS CLI Perintah*. 

------
#### [ Java ]

**SDK untuk Java 2.x**  

```
    public static List<DatastoreSummary> listMedicalImagingDatastores(MedicalImagingClient medicalImagingClient) {
        try {
            ListDatastoresRequest datastoreRequest = ListDatastoresRequest.builder()
                    .build();
            ListDatastoresIterable responses = medicalImagingClient.listDatastoresPaginator(datastoreRequest);
            List<DatastoreSummary> datastoreSummaries = new ArrayList<>();

            responses.stream().forEach(response -> datastoreSummaries.addAll(response.datastoreSummaries()));

            return datastoreSummaries;
        } catch (MedicalImagingException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }

        return null;
    }
```
+  Untuk detail API, lihat [ListDatastores](https://docs.aws.amazon.com/goto/SdkForJavaV2/medical-imaging-2023-07-19/ListDatastores)di *Referensi AWS SDK for Java 2.x API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/medicalimaging#code-examples). 

------
#### [ JavaScript ]

**SDK untuk JavaScript (v3)**  

```
import { paginateListDatastores } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

export const listDatastores = async () => {
  const paginatorConfig = {
    client: medicalImagingClient,
    pageSize: 50,
  };

  const commandParams = {};
  const paginator = paginateListDatastores(paginatorConfig, commandParams);

  /**
   * @type {import("@aws-sdk/client-medical-imaging").DatastoreSummary[]}
   */
  const datastoreSummaries = [];
  for await (const page of paginator) {
    // Each page contains a list of `jobSummaries`. The list is truncated if is larger than `pageSize`.
    datastoreSummaries.push(...page.datastoreSummaries);
    console.log(page);
  }
  // {
  //   '$metadata': {
  //       httpStatusCode: 200,
  //       requestId: '6aa99231-d9c2-4716-a46e-edb830116fa3',
  //       extendedRequestId: undefined,
  //       cfId: undefined,
  //       attempts: 1,
  //       totalRetryDelay: 0
  //   },
  //   datastoreSummaries: [
  //     {
  //       createdAt: 2023-08-04T18:49:54.429Z,
  //       datastoreArn: 'arn:aws:medical-imaging:us-east-1:xxxxxxxxx:datastore/xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx',
  //       datastoreId: 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx',
  //       datastoreName: 'my_datastore',
  //       datastoreStatus: 'ACTIVE',
  //       updatedAt: 2023-08-04T18:49:54.429Z
  //     }
  //     ...
  //   ]
  // }

  return datastoreSummaries;
};
```
+  Untuk detail API, lihat [ListDatastores](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/ListDatastoresCommand)di *Referensi AWS SDK untuk JavaScript API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples). 

------
#### [ Python ]

**SDK untuk Python (Boto3)**  

```
class MedicalImagingWrapper:
    def __init__(self, health_imaging_client):
        self.health_imaging_client = health_imaging_client


    def list_datastores(self):
        """
        List the data stores.

        :return: The list of data stores.
        """
        try:
            paginator = self.health_imaging_client.get_paginator("list_datastores")
            page_iterator = paginator.paginate()
            datastore_summaries = []
            for page in page_iterator:
                datastore_summaries.extend(page["datastoreSummaries"])
        except ClientError as err:
            logger.error(
                "Couldn't list data stores. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return datastore_summaries
```
Kode berikut membuat instance objek. MedicalImagingWrapper   

```
    client = boto3.client("medical-imaging")
    medical_imaging_wrapper = MedicalImagingWrapper(client)
```
+  Untuk detail API, lihat [ListDatastores](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/ListDatastores)di *AWS SDK for Python (Boto3) Referensi* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/medical-imaging#code-examples). 

------
#### [ SAP ABAP ]

**SDK for SAP ABAP**  

```
    TRY.
        oo_result = lo_mig->listdatastores( ).
        DATA(lt_datastores) = oo_result->get_datastoresummaries( ).
        DATA(lv_count) = lines( lt_datastores ).
        MESSAGE |Found { lv_count } data stores.| TYPE 'I'.
      CATCH /aws1/cx_migaccessdeniedex.
        MESSAGE 'Access denied.' TYPE 'I'.
      CATCH /aws1/cx_miginternalserverex.
        MESSAGE 'Internal server error.' TYPE 'I'.
      CATCH /aws1/cx_migthrottlingex.
        MESSAGE 'Request throttled.' TYPE 'I'.
      CATCH /aws1/cx_migvalidationex.
        MESSAGE 'Validation error.' TYPE 'I'.
    ENDTRY.
```
+  Untuk detail API, lihat [ListDatastores](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)di *AWS SDK untuk referensi SAP ABAP* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/mig#code-examples). 

------

# Gunakan `ListImageSetVersions` dengan AWS SDK atau CLI
<a name="medical-imaging_example_medical-imaging_ListImageSetVersions_section"></a>

Contoh kode berikut menunjukkan cara menggunakan`ListImageSetVersions`.

------
#### [ CLI ]

**AWS CLI**  
**Untuk daftar versi set gambar**  
Contoh `list-image-set-versions` kode berikut mencantumkan riwayat versi untuk kumpulan gambar.  

```
aws medical-imaging list-image-set-versions \
    --datastore-id 12345678901234567890123456789012 \
    --image-set-id ea92b0d8838c72a3f25d00d13616f87e
```
Output:  

```
{
    "imageSetPropertiesList": [
        {
            "ImageSetWorkflowStatus": "UPDATED",
            "versionId": "4",
            "updatedAt": 1680029436.304,
            "imageSetId": "ea92b0d8838c72a3f25d00d13616f87e",
            "imageSetState": "ACTIVE",
            "createdAt": 1680027126.436
        },
        {
            "ImageSetWorkflowStatus": "UPDATED",
            "versionId": "3",
            "updatedAt": 1680029163.325,
            "imageSetId": "ea92b0d8838c72a3f25d00d13616f87e",
            "imageSetState": "ACTIVE",
            "createdAt": 1680027126.436
        },
        {
            "ImageSetWorkflowStatus": "COPY_FAILED",
            "versionId": "2",
            "updatedAt": 1680027455.944,
            "imageSetId": "ea92b0d8838c72a3f25d00d13616f87e",
            "imageSetState": "ACTIVE",
            "message": "INVALID_REQUEST:  Series of SourceImageSet and DestinationImageSet don't match.",
            "createdAt": 1680027126.436
        },
        {
            "imageSetId": "ea92b0d8838c72a3f25d00d13616f87e",
            "imageSetState": "ACTIVE",
            "versionId": "1",
            "ImageSetWorkflowStatus": "COPIED",
            "createdAt": 1680027126.436
        }
    ]
}
```
Untuk informasi selengkapnya, lihat [Daftar versi kumpulan gambar](https://docs.aws.amazon.com/healthimaging/latest/devguide/list-image-set-versions.html) di *Panduan AWS HealthImaging Pengembang*.  
+  Untuk detail API, lihat [ListImageSetVersions](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/medical-imaging/list-image-set-versions.html)di *Referensi AWS CLI Perintah*. 

------
#### [ Java ]

**SDK untuk Java 2.x**  

```
    public static List<ImageSetProperties> listMedicalImageSetVersions(MedicalImagingClient medicalImagingClient,
            String datastoreId,
            String imagesetId) {
        try {
            ListImageSetVersionsRequest getImageSetRequest = ListImageSetVersionsRequest.builder()
                    .datastoreId(datastoreId)
                    .imageSetId(imagesetId)
                    .build();

            ListImageSetVersionsIterable responses = medicalImagingClient
                    .listImageSetVersionsPaginator(getImageSetRequest);
            List<ImageSetProperties> imageSetProperties = new ArrayList<>();
            responses.stream().forEach(response -> imageSetProperties.addAll(response.imageSetPropertiesList()));

            return imageSetProperties;
        } catch (MedicalImagingException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }

        return null;
    }
```
+  Untuk detail API, lihat [ListImageSetVersions](https://docs.aws.amazon.com/goto/SdkForJavaV2/medical-imaging-2023-07-19/ListImageSetVersions)di *Referensi AWS SDK for Java 2.x API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/medicalimaging#code-examples). 

------
#### [ JavaScript ]

**SDK untuk JavaScript (v3)**  

```
import { paginateListImageSetVersions } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} datastoreId - The ID of the data store.
 * @param {string} imageSetId - The ID of the image set.
 */
export const listImageSetVersions = async (
  datastoreId = "xxxxxxxxxxxx",
  imageSetId = "xxxxxxxxxxxx",
) => {
  const paginatorConfig = {
    client: medicalImagingClient,
    pageSize: 50,
  };

  const commandParams = { datastoreId, imageSetId };
  const paginator = paginateListImageSetVersions(
    paginatorConfig,
    commandParams,
  );

  const imageSetPropertiesList = [];
  for await (const page of paginator) {
    // Each page contains a list of `jobSummaries`. The list is truncated if is larger than `pageSize`.
    imageSetPropertiesList.push(...page.imageSetPropertiesList);
    console.log(page);
  }
  // {
  //     '$metadata': {
  //         httpStatusCode: 200,
  //         requestId: '74590b37-a002-4827-83f2-3c590279c742',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  //     },
  //     imageSetPropertiesList: [
  //         {
  //             ImageSetWorkflowStatus: 'CREATED',
  //             createdAt: 2023-09-22T14:49:26.427Z,
  //             imageSetId: 'xxxxxxxxxxxxxxxxxxxxxxx',
  //             imageSetState: 'ACTIVE',
  //             versionId: '1'
  //         }]
  // }
  return imageSetPropertiesList;
};
```
+  Untuk detail API, lihat [ListImageSetVersions](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/ListImageSetVersionsCommand)di *Referensi AWS SDK untuk JavaScript API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples). 

------
#### [ Python ]

**SDK untuk Python (Boto3)**  

```
class MedicalImagingWrapper:
    def __init__(self, health_imaging_client):
        self.health_imaging_client = health_imaging_client


    def list_image_set_versions(self, datastore_id, image_set_id):
        """
        List the image set versions.

        :param datastore_id: The ID of the data store.
        :param image_set_id: The ID of the image set.
        :return: The list of image set versions.
        """
        try:
            paginator = self.health_imaging_client.get_paginator(
                "list_image_set_versions"
            )
            page_iterator = paginator.paginate(
                imageSetId=image_set_id, datastoreId=datastore_id
            )
            image_set_properties_list = []
            for page in page_iterator:
                image_set_properties_list.extend(page["imageSetPropertiesList"])
        except ClientError as err:
            logger.error(
                "Couldn't list image set versions. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return image_set_properties_list
```
Kode berikut membuat instance objek. MedicalImagingWrapper   

```
    client = boto3.client("medical-imaging")
    medical_imaging_wrapper = MedicalImagingWrapper(client)
```
+  Untuk detail API, lihat [ListImageSetVersions](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/ListImageSetVersions)di *AWS SDK for Python (Boto3) Referensi* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/medical-imaging#code-examples). 

------
#### [ SAP ABAP ]

**SDK for SAP ABAP**  

```
    TRY.
        " iv_datastore_id = '1234567890123456789012345678901234567890'
        " iv_image_set_id = '1234567890123456789012345678901234567890'
        oo_result = lo_mig->listimagesetversions(
          iv_datastoreid = iv_datastore_id
          iv_imagesetid = iv_image_set_id ).
        DATA(lt_versions) = oo_result->get_imagesetpropertieslist( ).
        DATA(lv_count) = lines( lt_versions ).
        MESSAGE |Found { lv_count } image set versions.| TYPE 'I'.
      CATCH /aws1/cx_migaccessdeniedex.
        MESSAGE 'Access denied.' TYPE 'I'.
      CATCH /aws1/cx_migconflictexception.
        MESSAGE 'Conflict error.' TYPE 'I'.
      CATCH /aws1/cx_miginternalserverex.
        MESSAGE 'Internal server error.' TYPE 'I'.
      CATCH /aws1/cx_migresourcenotfoundex.
        MESSAGE 'Image set not found.' TYPE 'I'.
      CATCH /aws1/cx_migthrottlingex.
        MESSAGE 'Request throttled.' TYPE 'I'.
      CATCH /aws1/cx_migvalidationex.
        MESSAGE 'Validation error.' TYPE 'I'.
    ENDTRY.
```
+  Untuk detail API, lihat [ListImageSetVersions](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)di *AWS SDK untuk referensi SAP ABAP* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/mig#code-examples). 

------

# Gunakan `ListTagsForResource` dengan AWS SDK atau CLI
<a name="medical-imaging_example_medical-imaging_ListTagsForResource_section"></a>

Contoh kode berikut menunjukkan cara menggunakan`ListTagsForResource`.

Contoh tindakan adalah kutipan kode dari program yang lebih besar dan harus dijalankan dalam konteks. Anda dapat melihat tindakan ini dalam konteks dalam contoh kode berikut: 
+  [Menandai penyimpanan data](medical-imaging_example_medical-imaging_Scenario_TaggingDataStores_section.md) 
+  [Menandai set gambar](medical-imaging_example_medical-imaging_Scenario_TaggingImageSets_section.md) 

------
#### [ CLI ]

**AWS CLI**  
**Contoh 1: Untuk daftar tag sumber daya untuk penyimpanan data**  
Contoh `list-tags-for-resource` kode berikut mencantumkan tag untuk penyimpanan data.  

```
aws medical-imaging list-tags-for-resource \
    --resource-arn "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012"
```
Output:  

```
{
    "tags":{
        "Deployment":"Development"
    }
}
```
**Contoh 2: Untuk mencantumkan tag sumber daya untuk kumpulan gambar**  
Contoh `list-tags-for-resource` kode berikut mencantumkan tag untuk kumpulan gambar.  

```
aws medical-imaging list-tags-for-resource \
    --resource-arn "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012/imageset/18f88ac7870584f58d56256646b4d92b"
```
Output:  

```
{
    "tags":{
        "Deployment":"Development"
    }
}
```
Untuk informasi selengkapnya, lihat [Menandai sumber daya AWS HealthImaging](https://docs.aws.amazon.com/healthimaging/latest/devguide/tagging.html) di *Panduan AWS HealthImaging Pengembang*.  
+  Untuk detail API, lihat [ListTagsForResource](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/medical-imaging/list-tags-for-resource.html)di *Referensi AWS CLI Perintah*. 

------
#### [ Java ]

**SDK untuk Java 2.x**  

```
    public static ListTagsForResourceResponse listMedicalImagingResourceTags(MedicalImagingClient medicalImagingClient,
            String resourceArn) {
        try {
            ListTagsForResourceRequest listTagsForResourceRequest = ListTagsForResourceRequest.builder()
                    .resourceArn(resourceArn)
                    .build();

            return medicalImagingClient.listTagsForResource(listTagsForResourceRequest);
        } catch (MedicalImagingException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }

        return null;
    }
```
+  Untuk detail API, lihat [ListTagsForResource](https://docs.aws.amazon.com/goto/SdkForJavaV2/medical-imaging-2023-07-19/ListTagsForResource)di *Referensi AWS SDK for Java 2.x API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/medicalimaging#code-examples). 

------
#### [ JavaScript ]

**SDK untuk JavaScript (v3)**  

```
import { ListTagsForResourceCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} resourceArn - The Amazon Resource Name (ARN) for the data store or image set.
 */
export const listTagsForResource = async (
  resourceArn = "arn:aws:medical-imaging:us-east-1:abc:datastore/def/imageset/ghi",
) => {
  const response = await medicalImagingClient.send(
    new ListTagsForResourceCommand({ resourceArn: resourceArn }),
  );
  console.log(response);
  // {
  //     '$metadata': {
  //         httpStatusCode: 200,
  //         requestId: '008fc6d3-abec-4870-a155-20fa3631e645',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  //     },
  //     tags: { Deployment: 'Development' }
  // }

  return response;
};
```
+  Untuk detail API, lihat [ListTagsForResource](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/ListTagsForResourceCommand)di *Referensi AWS SDK untuk JavaScript API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples). 

------
#### [ Python ]

**SDK untuk Python (Boto3)**  

```
class MedicalImagingWrapper:
    def __init__(self, health_imaging_client):
        self.health_imaging_client = health_imaging_client


    def list_tags_for_resource(self, resource_arn):
        """
        List the tags for a resource.

        :param resource_arn: The ARN of the resource.
        :return: The list of tags.
        """
        try:
            tags = self.health_imaging_client.list_tags_for_resource(
                resourceArn=resource_arn
            )
        except ClientError as err:
            logger.error(
                "Couldn't list tags for resource. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return tags["tags"]
```
Kode berikut membuat instance objek. MedicalImagingWrapper   

```
    client = boto3.client("medical-imaging")
    medical_imaging_wrapper = MedicalImagingWrapper(client)
```
+  Untuk detail API, lihat [ListTagsForResource](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/ListTagsForResource)di *AWS SDK for Python (Boto3) Referensi* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/medical-imaging#code-examples). 

------
#### [ SAP ABAP ]

**SDK for SAP ABAP**  

```
    TRY.
        " iv_resource_arn = 'arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012'
        oo_result = lo_mig->listtagsforresource( iv_resourcearn = iv_resource_arn ).
        DATA(lt_tags) = oo_result->get_tags( ).
        DATA(lv_count) = lines( lt_tags ).
        MESSAGE |Found { lv_count } tags for resource.| TYPE 'I'.
      CATCH /aws1/cx_migaccessdeniedex.
        MESSAGE 'Access denied.' TYPE 'I'.
      CATCH /aws1/cx_miginternalserverex.
        MESSAGE 'Internal server error.' TYPE 'I'.
      CATCH /aws1/cx_migresourcenotfoundex.
        MESSAGE 'Resource not found.' TYPE 'I'.
      CATCH /aws1/cx_migthrottlingex.
        MESSAGE 'Request throttled.' TYPE 'I'.
      CATCH /aws1/cx_migvalidationex.
        MESSAGE 'Validation error.' TYPE 'I'.
    ENDTRY.
```
+  Untuk detail API, lihat [ListTagsForResource](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)di *AWS SDK untuk referensi SAP ABAP* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/mig#code-examples). 

------

# Gunakan `SearchImageSets` dengan AWS SDK atau CLI
<a name="medical-imaging_example_medical-imaging_SearchImageSets_section"></a>

Contoh kode berikut menunjukkan cara menggunakan`SearchImageSets`.

Contoh tindakan adalah kutipan kode dari program yang lebih besar dan harus dijalankan dalam konteks. Anda dapat melihat tindakan ini dalam konteks dalam contoh kode berikut: 
+  [Memulai dengan set gambar dan bingkai gambar](medical-imaging_example_medical-imaging_Scenario_ImageSetsAndFrames_section.md) 

------
#### [ C\$1\$1 ]

**SDK untuk C\$1\$1**  
Fungsi utilitas untuk mencari set gambar.  

```
//! Routine which searches for image sets based on defined input attributes.
/*!
  \param dataStoreID: The HealthImaging data store ID.
  \param searchCriteria: A search criteria instance.
  \param imageSetResults: Vector to receive the image set IDs.
  \param clientConfig: Aws client configuration.
  \return bool: Function succeeded.
  */
bool AwsDoc::Medical_Imaging::searchImageSets(const Aws::String &dataStoreID,
                                              const Aws::MedicalImaging::Model::SearchCriteria &searchCriteria,
                                              Aws::Vector<Aws::String> &imageSetResults,
                                              const Aws::Client::ClientConfiguration &clientConfig) {
    Aws::MedicalImaging::MedicalImagingClient client(clientConfig);
    Aws::MedicalImaging::Model::SearchImageSetsRequest request;
    request.SetDatastoreId(dataStoreID);
    request.SetSearchCriteria(searchCriteria);

    Aws::String nextToken; // Used for paginated results.
    bool result = true;
    do {
        if (!nextToken.empty()) {
            request.SetNextToken(nextToken);
        }

        Aws::MedicalImaging::Model::SearchImageSetsOutcome outcome = client.SearchImageSets(
                request);
        if (outcome.IsSuccess()) {
            for (auto &imageSetMetadataSummary: outcome.GetResult().GetImageSetsMetadataSummaries()) {
                imageSetResults.push_back(imageSetMetadataSummary.GetImageSetId());
            }

            nextToken = outcome.GetResult().GetNextToken();
        }
        else {
            std::cout << "Error: " << outcome.GetError().GetMessage() << std::endl;
            result = false;
        }
    } while (!nextToken.empty());

    return result;
}
```
Kasus penggunaan \$11: operator EQUAL.  

```
        Aws::Vector<Aws::String> imageIDsForPatientID;
        Aws::MedicalImaging::Model::SearchCriteria searchCriteriaEqualsPatientID;
        Aws::Vector<Aws::MedicalImaging::Model::SearchFilter> patientIDSearchFilters = {
                Aws::MedicalImaging::Model::SearchFilter().WithOperator(Aws::MedicalImaging::Model::Operator::EQUAL)
                .WithValues({Aws::MedicalImaging::Model::SearchByAttributeValue().WithDICOMPatientId(patientID)})
        };

        searchCriteriaEqualsPatientID.SetFilters(patientIDSearchFilters);
        bool result = AwsDoc::Medical_Imaging::searchImageSets(dataStoreID,
                                                               searchCriteriaEqualsPatientID,
                                                               imageIDsForPatientID,
                                                               clientConfig);
        if (result) {
            std::cout << imageIDsForPatientID.size() << " image sets found for the patient with ID '"
            <<  patientID << "'." << std::endl;
            for (auto &imageSetResult : imageIDsForPatientID) {
                std::cout << "  Image set with ID '" << imageSetResult << std::endl;
            }
        }
```
Kasus penggunaan \$12: ANTARA operator menggunakan DICOMStudy Tanggal dan DICOMStudy Waktu.   

```
         Aws::MedicalImaging::Model::SearchByAttributeValue useCase2StartDate;
        useCase2StartDate.SetDICOMStudyDateAndTime(Aws::MedicalImaging::Model::DICOMStudyDateAndTime()
        .WithDICOMStudyDate("19990101")
        .WithDICOMStudyTime("000000.000"));

        Aws::MedicalImaging::Model::SearchByAttributeValue useCase2EndDate;
        useCase2EndDate.SetDICOMStudyDateAndTime(Aws::MedicalImaging::Model::DICOMStudyDateAndTime()
        .WithDICOMStudyDate(Aws::Utils::DateTime(std::chrono::system_clock::now()).ToLocalTimeString("%Y%m%d"))
        .WithDICOMStudyTime("000000.000"));

        Aws::MedicalImaging::Model::SearchFilter useCase2SearchFilter;
        useCase2SearchFilter.SetValues({useCase2StartDate, useCase2EndDate});
        useCase2SearchFilter.SetOperator(Aws::MedicalImaging::Model::Operator::BETWEEN);

        Aws::MedicalImaging::Model::SearchCriteria useCase2SearchCriteria;
        useCase2SearchCriteria.SetFilters({useCase2SearchFilter});

        Aws::Vector<Aws::String> usesCase2Results;
        result = AwsDoc::Medical_Imaging::searchImageSets(dataStoreID,
                                                          useCase2SearchCriteria,
                                                          usesCase2Results,
                                                          clientConfig);
        if (result) {
            std::cout << usesCase2Results.size() << " image sets found for between 1999/01/01 and present."
                      <<  std::endl;
            for (auto &imageSetResult : usesCase2Results) {
                std::cout << "  Image set with ID '" << imageSetResult << std::endl;
            }
        }
```
Kasus penggunaan \$13: ANTARA operator menggunakan createDat. Studi waktu sebelumnya bertahan.   

```
        Aws::MedicalImaging::Model::SearchByAttributeValue useCase3StartDate;
        useCase3StartDate.SetCreatedAt(Aws::Utils::DateTime("20231130T000000000Z",Aws::Utils::DateFormat::ISO_8601_BASIC));

        Aws::MedicalImaging::Model::SearchByAttributeValue useCase3EndDate;
        useCase3EndDate.SetCreatedAt(Aws::Utils::DateTime(std::chrono::system_clock::now()));

        Aws::MedicalImaging::Model::SearchFilter useCase3SearchFilter;
        useCase3SearchFilter.SetValues({useCase3StartDate, useCase3EndDate});
        useCase3SearchFilter.SetOperator(Aws::MedicalImaging::Model::Operator::BETWEEN);

        Aws::MedicalImaging::Model::SearchCriteria useCase3SearchCriteria;
        useCase3SearchCriteria.SetFilters({useCase3SearchFilter});

        Aws::Vector<Aws::String> usesCase3Results;
        result = AwsDoc::Medical_Imaging::searchImageSets(dataStoreID,
                                                          useCase3SearchCriteria,
                                                          usesCase3Results,
                                                          clientConfig);
        if (result) {
            std::cout << usesCase3Results.size() << " image sets found for created between 2023/11/30 and present."
                      <<  std::endl;
            for (auto &imageSetResult : usesCase3Results) {
                std::cout << "  Image set with ID '" << imageSetResult << std::endl;
            }
        }
```
Kasus penggunaan \$14: Operator EQUAL di DICOMSeries InstanceUID dan BETWEEN di UpdateDAT dan mengurutkan respons dalam urutan ASC di bidang UpdateDAT.   

```
        Aws::MedicalImaging::Model::SearchByAttributeValue useCase4StartDate;
        useCase4StartDate.SetUpdatedAt(Aws::Utils::DateTime("20231130T000000000Z",Aws::Utils::DateFormat::ISO_8601_BASIC));

        Aws::MedicalImaging::Model::SearchByAttributeValue useCase4EndDate;
        useCase4EndDate.SetUpdatedAt(Aws::Utils::DateTime(std::chrono::system_clock::now()));

        Aws::MedicalImaging::Model::SearchFilter useCase4SearchFilterBetween;
        useCase4SearchFilterBetween.SetValues({useCase4StartDate, useCase4EndDate});
        useCase4SearchFilterBetween.SetOperator(Aws::MedicalImaging::Model::Operator::BETWEEN);

        Aws::MedicalImaging::Model::SearchByAttributeValue seriesInstanceUID;
        seriesInstanceUID.SetDICOMSeriesInstanceUID(dicomSeriesInstanceUID);

        Aws::MedicalImaging::Model::SearchFilter useCase4SearchFilterEqual;
        useCase4SearchFilterEqual.SetValues({seriesInstanceUID});
        useCase4SearchFilterEqual.SetOperator(Aws::MedicalImaging::Model::Operator::EQUAL);

        Aws::MedicalImaging::Model::SearchCriteria useCase4SearchCriteria;
        useCase4SearchCriteria.SetFilters({useCase4SearchFilterBetween, useCase4SearchFilterEqual});

        Aws::MedicalImaging::Model::Sort useCase4Sort;
        useCase4Sort.SetSortField(Aws::MedicalImaging::Model::SortField::updatedAt);
        useCase4Sort.SetSortOrder(Aws::MedicalImaging::Model::SortOrder::ASC);

        useCase4SearchCriteria.SetSort(useCase4Sort);

        Aws::Vector<Aws::String> usesCase4Results;
        result = AwsDoc::Medical_Imaging::searchImageSets(dataStoreID,
                                                          useCase4SearchCriteria,
                                                          usesCase4Results,
                                                          clientConfig);
        if (result) {
            std::cout << usesCase4Results.size() << " image sets found for EQUAL operator "
            << "on DICOMSeriesInstanceUID and BETWEEN on updatedAt and sort response\n"
            <<  "in ASC order on updatedAt field." <<  std::endl;
            for (auto &imageSetResult : usesCase4Results) {
                std::cout << "  Image set with ID '" << imageSetResult << std::endl;
            }
        }
```
+  Untuk detail API, lihat [SearchImageSets](https://docs.aws.amazon.com/goto/SdkForCpp/medical-imaging-2023-07-19/SearchImageSets)di *Referensi AWS SDK untuk C\$1\$1 API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/cpp/example_code/medical-imaging/#code-examples). 

------
#### [ CLI ]

**AWS CLI**  
**Contoh 1: Untuk mencari set gambar dengan operator EQUAL**  
Contoh `search-image-sets` kode berikut menggunakan operator EQUAL untuk mencari set gambar berdasarkan nilai tertentu.  

```
aws medical-imaging search-image-sets \
    --datastore-id 12345678901234567890123456789012 \
    --search-criteria file://search-criteria.json
```
Isi dari `search-criteria.json`  

```
{
    "filters": [{
        "values": [{"DICOMPatientId" : "SUBJECT08701"}],
        "operator": "EQUAL"
    }]
}
```
Output:  

```
{
    "imageSetsMetadataSummaries": [{
        "imageSetId": "09876543210987654321098765432109",
        "createdAt": "2022-12-06T21:40:59.429000+00:00",
        "version": 1,
        "DICOMTags": {
            "DICOMStudyId": "2011201407",
            "DICOMStudyDate": "19991122",
             "DICOMPatientSex": "F",
             "DICOMStudyInstanceUID": "1.2.840.99999999.84710745.943275268089",
             "DICOMPatientBirthDate": "19201120",
             "DICOMStudyDescription": "UNKNOWN",
             "DICOMPatientId": "SUBJECT08701",
             "DICOMPatientName": "Melissa844 Huel628",
             "DICOMNumberOfStudyRelatedInstances": 1,
             "DICOMStudyTime": "140728",
             "DICOMNumberOfStudyRelatedSeries": 1
            },
        "updatedAt": "2022-12-06T21:40:59.429000+00:00"
    }]
}
```
**Contoh 2: Untuk mencari set gambar dengan operator BETWEEN menggunakan DICOMStudy Tanggal dan DICOMStudy Waktu**  
Contoh `search-image-sets` kode berikut mencari kumpulan gambar dengan Studi DICOM yang dihasilkan antara 1 Januari 1990 (12:00 AM) dan 1 Januari 2023 (12:00 AM).  
Catatan: DICOMStudy Waktu adalah opsional. Jika tidak ada, 12:00 AM (awal hari) adalah nilai waktu untuk tanggal yang disediakan untuk penyaringan.  

```
aws medical-imaging search-image-sets \
    --datastore-id 12345678901234567890123456789012 \
    --search-criteria file://search-criteria.json
```
Isi dari `search-criteria.json`  

```
{
    "filters": [{
        "values": [{
            "DICOMStudyDateAndTime": {
                "DICOMStudyDate": "19900101",
                "DICOMStudyTime": "000000"
            }
        },
        {
            "DICOMStudyDateAndTime": {
                "DICOMStudyDate": "20230101",
                "DICOMStudyTime": "000000"
            }
        }],
        "operator": "BETWEEN"
    }]
}
```
Output:  

```
{
    "imageSetsMetadataSummaries": [{
        "imageSetId": "09876543210987654321098765432109",
        "createdAt": "2022-12-06T21:40:59.429000+00:00",
        "version": 1,
        "DICOMTags": {
            "DICOMStudyId": "2011201407",
            "DICOMStudyDate": "19991122",
            "DICOMPatientSex": "F",
            "DICOMStudyInstanceUID": "1.2.840.99999999.84710745.943275268089",
            "DICOMPatientBirthDate": "19201120",
            "DICOMStudyDescription": "UNKNOWN",
            "DICOMPatientId": "SUBJECT08701",
            "DICOMPatientName": "Melissa844 Huel628",
            "DICOMNumberOfStudyRelatedInstances": 1,
            "DICOMStudyTime": "140728",
            "DICOMNumberOfStudyRelatedSeries": 1
        },
        "updatedAt": "2022-12-06T21:40:59.429000+00:00"
    }]
}
```
**Contoh 3: Untuk mencari set gambar dengan operator BETWEEN menggunakan createDat (studi waktu sebelumnya dipertahankan)**  
Contoh `search-image-sets` kode berikut mencari set gambar dengan Studi DICOM bertahan di HealthImaging antara rentang waktu di zona waktu UTC.  
Catatan: Berikan CreateDat dalam format contoh (“1985-04-12T 23:20:50.52 Z”).  

```
aws medical-imaging search-image-sets \
    --datastore-id 12345678901234567890123456789012 \
    --search-criteria  file://search-criteria.json
```
Isi dari `search-criteria.json`  

```
{
    "filters": [{
        "values": [{
            "createdAt": "1985-04-12T23:20:50.52Z"
        },
        {
            "createdAt": "2022-04-12T23:20:50.52Z"
        }],
        "operator": "BETWEEN"
    }]
}
```
Output:  

```
{
    "imageSetsMetadataSummaries": [{
        "imageSetId": "09876543210987654321098765432109",
        "createdAt": "2022-12-06T21:40:59.429000+00:00",
        "version": 1,
        "DICOMTags": {
            "DICOMStudyId": "2011201407",
            "DICOMStudyDate": "19991122",
            "DICOMPatientSex": "F",
            "DICOMStudyInstanceUID": "1.2.840.99999999.84710745.943275268089",
            "DICOMPatientBirthDate": "19201120",
            "DICOMStudyDescription": "UNKNOWN",
            "DICOMPatientId": "SUBJECT08701",
            "DICOMPatientName": "Melissa844 Huel628",
            "DICOMNumberOfStudyRelatedInstances": 1,
            "DICOMStudyTime": "140728",
            "DICOMNumberOfStudyRelatedSeries": 1
        },
        "lastUpdatedAt": "2022-12-06T21:40:59.429000+00:00"
    }]
}
```
**Contoh 4: Untuk mencari set gambar dengan operator EQUAL di DICOMSeries InstanceUID dan BETWEEN pada UpdateDat dan mengurutkan respons dalam urutan ASC di bidang UpdateDAT**  
Contoh `search-image-sets` kode berikut mencari kumpulan gambar dengan operator EQUAL di DICOMSeries InstanceUID dan BETWEEN pada UpdateDat dan mengurutkan respons dalam urutan ASC di bidang UpdateDAT.  
Catatan: Berikan UpdateDat dalam format contoh (“1985-04-12T 23:20:50.52 Z”).  

```
aws medical-imaging search-image-sets \
    --datastore-id 12345678901234567890123456789012 \
    --search-criteria  file://search-criteria.json
```
Isi dari `search-criteria.json`  

```
{
    "filters": [{
        "values": [{
            "updatedAt": "2024-03-11T15:00:05.074000-07:00"
        }, {
            "updatedAt": "2024-03-11T16:00:05.074000-07:00"
        }],
        "operator": "BETWEEN"
    }, {
        "values": [{
            "DICOMSeriesInstanceUID": "1.2.840.99999999.84710745.943275268089"
        }],
        "operator": "EQUAL"
    }],
    "sort": {
        "sortField": "updatedAt",
        "sortOrder": "ASC"
    }
}
```
Output:  

```
{
    "imageSetsMetadataSummaries": [{
        "imageSetId": "09876543210987654321098765432109",
        "createdAt": "2022-12-06T21:40:59.429000+00:00",
        "version": 1,
        "DICOMTags": {
            "DICOMStudyId": "2011201407",
            "DICOMStudyDate": "19991122",
            "DICOMPatientSex": "F",
            "DICOMStudyInstanceUID": "1.2.840.99999999.84710745.943275268089",
            "DICOMPatientBirthDate": "19201120",
            "DICOMStudyDescription": "UNKNOWN",
            "DICOMPatientId": "SUBJECT08701",
            "DICOMPatientName": "Melissa844 Huel628",
            "DICOMNumberOfStudyRelatedInstances": 1,
            "DICOMStudyTime": "140728",
            "DICOMNumberOfStudyRelatedSeries": 1
        },
        "lastUpdatedAt": "2022-12-06T21:40:59.429000+00:00"
    }]
}
```
Untuk informasi selengkapnya, lihat [Mencari kumpulan gambar](https://docs.aws.amazon.com/healthimaging/latest/devguide/search-image-sets.html) di *Panduan AWS HealthImaging Pengembang*.  
+  Untuk detail API, lihat [SearchImageSets](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/medical-imaging/search-image-sets.html)di *Referensi AWS CLI Perintah*. 

------
#### [ Java ]

**SDK untuk Java 2.x**  
Fungsi utilitas untuk mencari set gambar.  

```
    public static List<ImageSetsMetadataSummary> searchMedicalImagingImageSets(
            MedicalImagingClient medicalImagingClient,
            String datastoreId, SearchCriteria searchCriteria) {
        try {
            SearchImageSetsRequest datastoreRequest = SearchImageSetsRequest.builder()
                    .datastoreId(datastoreId)
                    .searchCriteria(searchCriteria)
                    .build();
            SearchImageSetsIterable responses = medicalImagingClient
                    .searchImageSetsPaginator(datastoreRequest);
            List<ImageSetsMetadataSummary> imageSetsMetadataSummaries = new ArrayList<>();

            responses.stream().forEach(response -> imageSetsMetadataSummaries
                    .addAll(response.imageSetsMetadataSummaries()));

            return imageSetsMetadataSummaries;
        } catch (MedicalImagingException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }

        return null;
    }
```
Kasus penggunaan \$11: operator EQUAL.  

```
        List<SearchFilter> searchFilters = Collections.singletonList(SearchFilter.builder()
                .operator(Operator.EQUAL)
                .values(SearchByAttributeValue.builder()
                        .dicomPatientId(patientId)
                        .build())
                .build());

        SearchCriteria searchCriteria = SearchCriteria.builder()
                .filters(searchFilters)
                .build();

        List<ImageSetsMetadataSummary> imageSetsMetadataSummaries = searchMedicalImagingImageSets(
                medicalImagingClient,
                datastoreId, searchCriteria);
        if (imageSetsMetadataSummaries != null) {
            System.out.println("The image sets for patient " + patientId + " are:\n"
                    + imageSetsMetadataSummaries);
            System.out.println();
        }
```
Kasus penggunaan \$12: ANTARA operator menggunakan DICOMStudy Tanggal dan DICOMStudy Waktu.   

```
        DateTimeFormatter formatter = DateTimeFormatter.ofPattern("yyyyMMdd");
        searchFilters = Collections.singletonList(SearchFilter.builder()
                .operator(Operator.BETWEEN)
                .values(SearchByAttributeValue.builder()
                                .dicomStudyDateAndTime(DICOMStudyDateAndTime.builder()
                                        .dicomStudyDate("19990101")
                                        .dicomStudyTime("000000.000")
                                        .build())
                                .build(),
                        SearchByAttributeValue.builder()
                                .dicomStudyDateAndTime(DICOMStudyDateAndTime.builder()
                                        .dicomStudyDate((LocalDate.now()
                                                .format(formatter)))
                                        .dicomStudyTime("000000.000")
                                        .build())
                                .build())
                .build());

        searchCriteria = SearchCriteria.builder()
                .filters(searchFilters)
                .build();

        imageSetsMetadataSummaries = searchMedicalImagingImageSets(medicalImagingClient,
                datastoreId, searchCriteria);
        if (imageSetsMetadataSummaries != null) {
            System.out.println(
                    "The image sets searched with BETWEEN operator using DICOMStudyDate and DICOMStudyTime are:\n"
                            +
                            imageSetsMetadataSummaries);
            System.out.println();
        }
```
Kasus penggunaan \$13: ANTARA operator menggunakan createDat. Studi waktu sebelumnya bertahan.   

```
        searchFilters = Collections.singletonList(SearchFilter.builder()
                .operator(Operator.BETWEEN)
                .values(SearchByAttributeValue.builder()
                                .createdAt(Instant.parse("1985-04-12T23:20:50.52Z"))
                                .build(),
                        SearchByAttributeValue.builder()
                                .createdAt(Instant.now())
                                .build())
                .build());

        searchCriteria = SearchCriteria.builder()
                .filters(searchFilters)
                .build();
        imageSetsMetadataSummaries = searchMedicalImagingImageSets(medicalImagingClient,
                datastoreId, searchCriteria);
        if (imageSetsMetadataSummaries != null) {
            System.out.println("The image sets searched with BETWEEN operator using createdAt are:\n "
                    + imageSetsMetadataSummaries);
            System.out.println();
        }
```
Kasus penggunaan \$14: Operator EQUAL di DICOMSeries InstanceUID dan BETWEEN di UpdateDAT dan mengurutkan respons dalam urutan ASC di bidang UpdateDAT.   

```
        Instant startDate = Instant.parse("1985-04-12T23:20:50.52Z");
        Instant endDate = Instant.now();

        searchFilters = Arrays.asList(
                SearchFilter.builder()
                        .operator(Operator.EQUAL)
                        .values(SearchByAttributeValue.builder()
                                .dicomSeriesInstanceUID(seriesInstanceUID)
                                .build())
                        .build(),
                SearchFilter.builder()
                        .operator(Operator.BETWEEN)
                        .values(
                                SearchByAttributeValue.builder().updatedAt(startDate).build(),
                                SearchByAttributeValue.builder().updatedAt(endDate).build()
                        ).build());

        Sort sort = Sort.builder().sortOrder(SortOrder.ASC).sortField(SortField.UPDATED_AT).build();

        searchCriteria = SearchCriteria.builder()
                .filters(searchFilters)
                .sort(sort)
                .build();

        imageSetsMetadataSummaries = searchMedicalImagingImageSets(medicalImagingClient,
                datastoreId, searchCriteria);
        if (imageSetsMetadataSummaries != null) {
            System.out.println("The image sets searched with EQUAL operator on DICOMSeriesInstanceUID and BETWEEN on updatedAt and sort response\n" +
                    "in ASC order on updatedAt field are:\n "
                    + imageSetsMetadataSummaries);
            System.out.println();
        }
```
+  Untuk detail API, lihat [SearchImageSets](https://docs.aws.amazon.com/goto/SdkForJavaV2/medical-imaging-2023-07-19/SearchImageSets)di *Referensi AWS SDK for Java 2.x API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/medicalimaging#code-examples). 

------
#### [ JavaScript ]

**SDK untuk JavaScript (v3)**  
Fungsi utilitas untuk mencari set gambar.  

```
import { paginateSearchImageSets } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} datastoreId - The data store's ID.
 * @param { import('@aws-sdk/client-medical-imaging').SearchFilter[] } filters - The search criteria filters.
 * @param { import('@aws-sdk/client-medical-imaging').Sort } sort - The search criteria sort.
 */
export const searchImageSets = async (
  datastoreId = "xxxxxxxx",
  searchCriteria = {},
) => {
  const paginatorConfig = {
    client: medicalImagingClient,
    pageSize: 50,
  };

  const commandParams = {
    datastoreId: datastoreId,
    searchCriteria: searchCriteria,
  };

  const paginator = paginateSearchImageSets(paginatorConfig, commandParams);

  const imageSetsMetadataSummaries = [];
  for await (const page of paginator) {
    // Each page contains a list of `jobSummaries`. The list is truncated if is larger than `pageSize`.
    imageSetsMetadataSummaries.push(...page.imageSetsMetadataSummaries);
    console.log(page);
  }
  // {
  //     '$metadata': {
  //         httpStatusCode: 200,
  //         requestId: 'f009ea9c-84ca-4749-b5b6-7164f00a5ada',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  //     },
  //     imageSetsMetadataSummaries: [
  //         {
  //             DICOMTags: [Object],
  //             createdAt: "2023-09-19T16:59:40.551Z",
  //             imageSetId: '7f75e1b5c0f40eac2b24cf712f485f50',
  //             updatedAt: "2023-09-19T16:59:40.551Z",
  //             version: 1
  //         }]
  // }

  return imageSetsMetadataSummaries;
};
```
Kasus penggunaan \$11: operator EQUAL.  

```
  const datastoreId = "12345678901234567890123456789012";

  try {
    const searchCriteria = {
      filters: [
        {
          values: [{ DICOMPatientId: "1234567" }],
          operator: "EQUAL",
        },
      ],
    };

    await searchImageSets(datastoreId, searchCriteria);
  } catch (err) {
    console.error(err);
  }
```
Kasus penggunaan \$12: ANTARA operator menggunakan DICOMStudy Tanggal dan DICOMStudy Waktu.   

```
  const datastoreId = "12345678901234567890123456789012";

  try {
    const searchCriteria = {
      filters: [
        {
          values: [
            {
              DICOMStudyDateAndTime: {
                DICOMStudyDate: "19900101",
                DICOMStudyTime: "000000",
              },
            },
            {
              DICOMStudyDateAndTime: {
                DICOMStudyDate: "20230901",
                DICOMStudyTime: "000000",
              },
            },
          ],
          operator: "BETWEEN",
        },
      ],
    };

    await searchImageSets(datastoreId, searchCriteria);
  } catch (err) {
    console.error(err);
  }
```
Kasus penggunaan \$13: ANTARA operator menggunakan createDat. Studi waktu sebelumnya bertahan.   

```
  const datastoreId = "12345678901234567890123456789012";

  try {
    const searchCriteria = {
      filters: [
        {
          values: [
            { createdAt: new Date("1985-04-12T23:20:50.52Z") },
            { createdAt: new Date() },
          ],
          operator: "BETWEEN",
        },
      ],
    };

    await searchImageSets(datastoreId, searchCriteria);
  } catch (err) {
    console.error(err);
  }
```
Kasus penggunaan \$14: Operator EQUAL di DICOMSeries InstanceUID dan BETWEEN di UpdateDAT dan mengurutkan respons dalam urutan ASC di bidang UpdateDAT.   

```
  const datastoreId = "12345678901234567890123456789012";

  try {
    const searchCriteria = {
      filters: [
        {
          values: [
            { updatedAt: new Date("1985-04-12T23:20:50.52Z") },
            { updatedAt: new Date() },
          ],
          operator: "BETWEEN",
        },
        {
          values: [
            {
              DICOMSeriesInstanceUID:
                "1.1.123.123456.1.12.1.1234567890.1234.12345678.123",
            },
          ],
          operator: "EQUAL",
        },
      ],
      sort: {
        sortOrder: "ASC",
        sortField: "updatedAt",
      },
    };

    await searchImageSets(datastoreId, searchCriteria);
  } catch (err) {
    console.error(err);
  }
```
+  Untuk detail API, lihat [SearchImageSets](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/SearchImageSetsCommand)di *Referensi AWS SDK untuk JavaScript API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples). 

------
#### [ Python ]

**SDK untuk Python (Boto3)**  
Fungsi utilitas untuk mencari set gambar.  

```
class MedicalImagingWrapper:
    def __init__(self, health_imaging_client):
        self.health_imaging_client = health_imaging_client


    def search_image_sets(self, datastore_id, search_filter):
        """
        Search for image sets.

        :param datastore_id: The ID of the data store.
        :param search_filter: The search filter.
            For example: {"filters" : [{ "operator": "EQUAL", "values": [{"DICOMPatientId": "3524578"}]}]}.
        :return: The list of image sets.
        """
        try:
            paginator = self.health_imaging_client.get_paginator("search_image_sets")
            page_iterator = paginator.paginate(
                datastoreId=datastore_id, searchCriteria=search_filter
            )
            metadata_summaries = []
            for page in page_iterator:
                metadata_summaries.extend(page["imageSetsMetadataSummaries"])
        except ClientError as err:
            logger.error(
                "Couldn't search image sets. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return metadata_summaries
```
Kasus penggunaan \$11: operator EQUAL.  

```
        search_filter = {
            "filters": [
                {"operator": "EQUAL", "values": [{"DICOMPatientId": patient_id}]}
            ]
        }

        image_sets = self.search_image_sets(data_store_id, search_filter)
        print(f"Image sets found with EQUAL operator\n{image_sets}")
```
Kasus penggunaan \$12: ANTARA operator menggunakan DICOMStudy Tanggal dan DICOMStudy Waktu.   

```
        search_filter = {
            "filters": [
                {
                    "operator": "BETWEEN",
                    "values": [
                        {
                            "DICOMStudyDateAndTime": {
                                "DICOMStudyDate": "19900101",
                                "DICOMStudyTime": "000000",
                            }
                        },
                        {
                            "DICOMStudyDateAndTime": {
                                "DICOMStudyDate": "20230101",
                                "DICOMStudyTime": "000000",
                            }
                        },
                    ],
                }
            ]
        }

        image_sets = self.search_image_sets(data_store_id, search_filter)
        print(
            f"Image sets found with BETWEEN operator using DICOMStudyDate and DICOMStudyTime\n{image_sets}"
        )
```
Kasus penggunaan \$13: ANTARA operator menggunakan createDat. Studi waktu sebelumnya bertahan.   

```
        search_filter = {
            "filters": [
                {
                    "values": [
                        {
                            "createdAt": datetime.datetime(
                                2021, 8, 4, 14, 49, 54, 429000
                            )
                        },
                        {
                            "createdAt": datetime.datetime.now()
                            + datetime.timedelta(days=1)
                        },
                    ],
                    "operator": "BETWEEN",
                }
            ]
        }

        recent_image_sets = self.search_image_sets(data_store_id, search_filter)
        print(
            f"Image sets found with with BETWEEN operator using createdAt\n{recent_image_sets}"
        )
```
Kasus penggunaan \$14: Operator EQUAL di DICOMSeries InstanceUID dan BETWEEN di UpdateDAT dan mengurutkan respons dalam urutan ASC di bidang UpdateDAT.   

```
        search_filter = {
            "filters": [
                {
                    "values": [
                        {
                            "updatedAt": datetime.datetime(
                                2021, 8, 4, 14, 49, 54, 429000
                            )
                        },
                        {
                            "updatedAt": datetime.datetime.now()
                            + datetime.timedelta(days=1)
                        },
                    ],
                    "operator": "BETWEEN",
                },
                {
                    "values": [{"DICOMSeriesInstanceUID": series_instance_uid}],
                    "operator": "EQUAL",
                },
            ],
            "sort": {
                "sortOrder": "ASC",
                "sortField": "updatedAt",
            },
        }

        image_sets = self.search_image_sets(data_store_id, search_filter)
        print(
            "Image sets found with EQUAL operator on DICOMSeriesInstanceUID and BETWEEN on updatedAt and"
        )
        print(f"sort response in ASC order on updatedAt field\n{image_sets}")
```
Kode berikut membuat instance objek. MedicalImagingWrapper   

```
    client = boto3.client("medical-imaging")
    medical_imaging_wrapper = MedicalImagingWrapper(client)
```
+  Untuk detail API, lihat [SearchImageSets](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/SearchImageSets)di *AWS SDK for Python (Boto3) Referensi* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/medical-imaging#code-examples). 

------
#### [ SAP ABAP ]

**SDK for SAP ABAP**  

```
    TRY.
        " iv_datastore_id = '1234567890123456789012345678901234567890'
        oo_result = lo_mig->searchimagesets(
          iv_datastoreid = iv_datastore_id
          io_searchcriteria = io_search_criteria ).
        DATA(lt_imagesets) = oo_result->get_imagesetsmetadatasums( ).
        DATA(lv_count) = lines( lt_imagesets ).
        MESSAGE |Found { lv_count } image sets.| TYPE 'I'.
      CATCH /aws1/cx_migaccessdeniedex.
        MESSAGE 'Access denied.' TYPE 'I'.
      CATCH /aws1/cx_migconflictexception.
        MESSAGE 'Conflict error.' TYPE 'I'.
      CATCH /aws1/cx_miginternalserverex.
        MESSAGE 'Internal server error.' TYPE 'I'.
      CATCH /aws1/cx_migresourcenotfoundex.
        MESSAGE 'Resource not found.' TYPE 'I'.
      CATCH /aws1/cx_migthrottlingex.
        MESSAGE 'Request throttled.' TYPE 'I'.
      CATCH /aws1/cx_migvalidationex.
        MESSAGE 'Validation error.' TYPE 'I'.
    ENDTRY.
```
+  Untuk detail API, lihat [SearchImageSets](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)di *AWS SDK untuk referensi SAP ABAP* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/mig#code-examples). 

------

# Gunakan `StartDICOMImportJob` dengan AWS SDK atau CLI
<a name="medical-imaging_example_medical-imaging_StartDICOMImportJob_section"></a>

Contoh kode berikut menunjukkan cara menggunakan`StartDICOMImportJob`.

Contoh tindakan adalah kutipan kode dari program yang lebih besar dan harus dijalankan dalam konteks. Anda dapat melihat tindakan ini dalam konteks dalam contoh kode berikut: 
+  [Memulai dengan set gambar dan bingkai gambar](medical-imaging_example_medical-imaging_Scenario_ImageSetsAndFrames_section.md) 

------
#### [ C\$1\$1 ]

**SDK untuk C\$1\$1**  

```
//! Routine which starts a HealthImaging import job.
/*!
  \param dataStoreID: The HealthImaging data store ID.
  \param inputBucketName: The name of the Amazon S3 bucket containing the DICOM files.
  \param inputDirectory: The directory in the S3 bucket containing the DICOM files.
  \param outputBucketName: The name of the S3 bucket for the output.
  \param outputDirectory: The directory in the S3 bucket to store the output.
  \param roleArn: The ARN of the IAM role with permissions for the import.
  \param importJobId: A string to receive the import job ID.
  \param clientConfig: Aws client configuration.
  \return bool: Function succeeded.
  */
bool AwsDoc::Medical_Imaging::startDICOMImportJob(
        const Aws::String &dataStoreID, const Aws::String &inputBucketName,
        const Aws::String &inputDirectory, const Aws::String &outputBucketName,
        const Aws::String &outputDirectory, const Aws::String &roleArn,
        Aws::String &importJobId,
        const Aws::Client::ClientConfiguration &clientConfig) {
    Aws::MedicalImaging::MedicalImagingClient medicalImagingClient(clientConfig);
    Aws::String inputURI = "s3://" + inputBucketName + "/" + inputDirectory + "/";
    Aws::String outputURI = "s3://" + outputBucketName + "/" + outputDirectory + "/";
    Aws::MedicalImaging::Model::StartDICOMImportJobRequest startDICOMImportJobRequest;
    startDICOMImportJobRequest.SetDatastoreId(dataStoreID);
    startDICOMImportJobRequest.SetDataAccessRoleArn(roleArn);
    startDICOMImportJobRequest.SetInputS3Uri(inputURI);
    startDICOMImportJobRequest.SetOutputS3Uri(outputURI);

    Aws::MedicalImaging::Model::StartDICOMImportJobOutcome startDICOMImportJobOutcome = medicalImagingClient.StartDICOMImportJob(
            startDICOMImportJobRequest);

    if (startDICOMImportJobOutcome.IsSuccess()) {
        importJobId = startDICOMImportJobOutcome.GetResult().GetJobId();
    }
    else {
        std::cerr << "Failed to start DICOM import job because "
                  << startDICOMImportJobOutcome.GetError().GetMessage() << std::endl;
    }

    return startDICOMImportJobOutcome.IsSuccess();
}
```
+  Untuk detail API, lihat [Memulai DICOMImport Job](https://docs.aws.amazon.com/goto/SdkForCpp/medical-imaging-2023-07-19/StartDICOMImportJob) di *Referensi AWS SDK untuk C\$1\$1 API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/cpp/example_code/medical-imaging/#code-examples). 

------
#### [ CLI ]

**AWS CLI**  
**Untuk memulai pekerjaan impor dicom**  
Contoh `start-dicom-import-job` kode berikut memulai pekerjaan impor dicom.  

```
aws medical-imaging start-dicom-import-job \
    --job-name "my-job" \
    --datastore-id "12345678901234567890123456789012" \
    --input-s3-uri "s3://medical-imaging-dicom-input/dicom_input/" \
    --output-s3-uri "s3://medical-imaging-output/job_output/" \
    --data-access-role-arn "arn:aws:iam::123456789012:role/ImportJobDataAccessRole"
```
Output:  

```
{
    "datastoreId": "12345678901234567890123456789012",
    "jobId": "09876543210987654321098765432109",
    "jobStatus": "SUBMITTED",
    "submittedAt": "2022-08-12T11:28:11.152000+00:00"
}
```
Untuk informasi selengkapnya, lihat [Memulai pekerjaan impor](https://docs.aws.amazon.com/healthimaging/latest/devguide/start-dicom-import-job.html) di *Panduan AWS HealthImaging Pengembang*.  
+  Untuk detail API, lihat [Memulai DICOMImport Job](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/medical-imaging/start-dicom-import-job.html) di *Referensi AWS CLI Perintah*. 

------
#### [ Java ]

**SDK untuk Java 2.x**  

```
    public static String startDicomImportJob(MedicalImagingClient medicalImagingClient,
            String jobName,
            String datastoreId,
            String dataAccessRoleArn,
            String inputS3Uri,
            String outputS3Uri) {

        try {
            StartDicomImportJobRequest startDicomImportJobRequest = StartDicomImportJobRequest.builder()
                    .jobName(jobName)
                    .datastoreId(datastoreId)
                    .dataAccessRoleArn(dataAccessRoleArn)
                    .inputS3Uri(inputS3Uri)
                    .outputS3Uri(outputS3Uri)
                    .build();
            StartDicomImportJobResponse response = medicalImagingClient.startDICOMImportJob(startDicomImportJobRequest);
            return response.jobId();
        } catch (MedicalImagingException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }

        return "";
    }
```
+  Untuk detail API, lihat [Memulai DICOMImport Job](https://docs.aws.amazon.com/goto/SdkForJavaV2/medical-imaging-2023-07-19/StartDICOMImportJob) di *Referensi AWS SDK for Java 2.x API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/medicalimaging#code-examples). 

------
#### [ JavaScript ]

**SDK untuk JavaScript (v3)**  

```
import { StartDICOMImportJobCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} jobName - The name of the import job.
 * @param {string} datastoreId - The ID of the data store.
 * @param {string} dataAccessRoleArn - The Amazon Resource Name (ARN) of the role that grants permission.
 * @param {string} inputS3Uri - The URI of the S3 bucket containing the input files.
 * @param {string} outputS3Uri - The URI of the S3 bucket where the output files are stored.
 */
export const startDicomImportJob = async (
  jobName = "test-1",
  datastoreId = "12345678901234567890123456789012",
  dataAccessRoleArn = "arn:aws:iam::xxxxxxxxxxxx:role/ImportJobDataAccessRole",
  inputS3Uri = "s3://medical-imaging-dicom-input/dicom_input/",
  outputS3Uri = "s3://medical-imaging-output/job_output/",
) => {
  const response = await medicalImagingClient.send(
    new StartDICOMImportJobCommand({
      jobName: jobName,
      datastoreId: datastoreId,
      dataAccessRoleArn: dataAccessRoleArn,
      inputS3Uri: inputS3Uri,
      outputS3Uri: outputS3Uri,
    }),
  );
  console.log(response);
  // {
  //     '$metadata': {
  //     httpStatusCode: 200,
  //         requestId: '6e81d191-d46b-4e48-a08a-cdcc7e11eb79',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  // },
  //     datastoreId: 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx',
  //     jobId: 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx',
  //     jobStatus: 'SUBMITTED',
  //     submittedAt: 2023-09-22T14:48:45.767Z
  // }
  return response;
};
```
+  Untuk detail API, lihat [Memulai DICOMImport Job](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/StartDICOMImportJobCommand) di *Referensi AWS SDK untuk JavaScript API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples). 

------
#### [ Python ]

**SDK untuk Python (Boto3)**  

```
class MedicalImagingWrapper:
    def __init__(self, health_imaging_client):
        self.health_imaging_client = health_imaging_client


    def start_dicom_import_job(
        self, job_name, datastore_id, role_arn, input_s3_uri, output_s3_uri
    ):
        """
        Start a DICOM import job.

        :param job_name: The name of the job.
        :param datastore_id: The ID of the data store.
        :param role_arn: The Amazon Resource Name (ARN) of the role to use for the job.
        :param input_s3_uri: The S3 bucket input prefix path containing the DICOM files.
        :param output_s3_uri: The S3 bucket output prefix path for the result.
        :return: The job ID.
        """
        try:
            job = self.health_imaging_client.start_dicom_import_job(
                jobName=job_name,
                datastoreId=datastore_id,
                dataAccessRoleArn=role_arn,
                inputS3Uri=input_s3_uri,
                outputS3Uri=output_s3_uri,
            )
        except ClientError as err:
            logger.error(
                "Couldn't start DICOM import job. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return job["jobId"]
```
Kode berikut membuat instance objek. MedicalImagingWrapper   

```
    client = boto3.client("medical-imaging")
    medical_imaging_wrapper = MedicalImagingWrapper(client)
```
+  Untuk detail API, lihat [Memulai DICOMImport Job](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/StartDICOMImportJob) di *AWS SDK for Python (Boto3) Referensi* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/medical-imaging#code-examples). 

------
#### [ SAP ABAP ]

**SDK for SAP ABAP**  

```
    TRY.
        " iv_job_name = 'import-job-1'
        " iv_datastore_id = '1234567890123456789012345678901234567890'
        " iv_role_arn = 'arn:aws:iam::123456789012:role/ImportJobRole'
        " iv_input_s3_uri = 's3://my-bucket/input/'
        " iv_output_s3_uri = 's3://my-bucket/output/'
        oo_result = lo_mig->startdicomimportjob(
          iv_jobname = iv_job_name
          iv_datastoreid = iv_datastore_id
          iv_dataaccessrolearn = iv_role_arn
          iv_inputs3uri = iv_input_s3_uri
          iv_outputs3uri = iv_output_s3_uri ).
        DATA(lv_job_id) = oo_result->get_jobid( ).
        MESSAGE |DICOM import job started with ID: { lv_job_id }.| TYPE 'I'.
      CATCH /aws1/cx_migaccessdeniedex.
        MESSAGE 'Access denied.' TYPE 'I'.
      CATCH /aws1/cx_migconflictexception.
        MESSAGE 'Conflict error.' TYPE 'I'.
      CATCH /aws1/cx_miginternalserverex.
        MESSAGE 'Internal server error.' TYPE 'I'.
      CATCH /aws1/cx_migresourcenotfoundex.
        MESSAGE 'Resource not found.' TYPE 'I'.
      CATCH /aws1/cx_migservicequotaexcdex.
        MESSAGE 'Service quota exceeded.' TYPE 'I'.
      CATCH /aws1/cx_migthrottlingex.
        MESSAGE 'Request throttled.' TYPE 'I'.
      CATCH /aws1/cx_migvalidationex.
        MESSAGE 'Validation error.' TYPE 'I'.
    ENDTRY.
```
+  Untuk detail API, lihat [Memulai DICOMImport Job](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html) di *AWS SDK untuk referensi API SAP ABAP*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/mig#code-examples). 

------

# Gunakan `TagResource` dengan AWS SDK atau CLI
<a name="medical-imaging_example_medical-imaging_TagResource_section"></a>

Contoh kode berikut menunjukkan cara menggunakan`TagResource`.

Contoh tindakan adalah kutipan kode dari program yang lebih besar dan harus dijalankan dalam konteks. Anda dapat melihat tindakan ini dalam konteks dalam contoh kode berikut: 
+  [Menandai penyimpanan data](medical-imaging_example_medical-imaging_Scenario_TaggingDataStores_section.md) 
+  [Menandai set gambar](medical-imaging_example_medical-imaging_Scenario_TaggingImageSets_section.md) 

------
#### [ CLI ]

**AWS CLI**  
**Contoh 1: Untuk menandai penyimpanan data**  
Contoh `tag-resource` kode berikut menandai penyimpanan data.  

```
aws medical-imaging tag-resource \
  --resource-arn "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012" \
  --tags '{"Deployment":"Development"}'
```
Perintah ini tidak menghasilkan output.  
**Contoh 2: Untuk menandai set gambar**  
Contoh `tag-resource` kode berikut menandai set gambar.  

```
aws medical-imaging tag-resource \
    --resource-arn "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012/imageset/18f88ac7870584f58d56256646b4d92b" \
    --tags '{"Deployment":"Development"}'
```
Perintah ini tidak menghasilkan output.  
Untuk informasi selengkapnya, lihat [Menandai sumber daya AWS HealthImaging](https://docs.aws.amazon.com/healthimaging/latest/devguide/tagging.html) di *Panduan AWS HealthImaging Pengembang*.  
+  Untuk detail API, lihat [TagResource](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/medical-imaging/tag-resource.html)di *Referensi AWS CLI Perintah*. 

------
#### [ Java ]

**SDK untuk Java 2.x**  

```
    public static void tagMedicalImagingResource(MedicalImagingClient medicalImagingClient,
            String resourceArn,
            Map<String, String> tags) {
        try {
            TagResourceRequest tagResourceRequest = TagResourceRequest.builder()
                    .resourceArn(resourceArn)
                    .tags(tags)
                    .build();

            medicalImagingClient.tagResource(tagResourceRequest);

            System.out.println("Tags have been added to the resource.");
        } catch (MedicalImagingException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }
    }
```
+  Untuk detail API, lihat [TagResource](https://docs.aws.amazon.com/goto/SdkForJavaV2/medical-imaging-2023-07-19/TagResource)di *Referensi AWS SDK for Java 2.x API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/medicalimaging#code-examples). 

------
#### [ JavaScript ]

**SDK untuk JavaScript (v3)**  

```
import { TagResourceCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} resourceArn - The Amazon Resource Name (ARN) for the data store or image set.
 * @param {Record<string,string>} tags - The tags to add to the resource as JSON.
 *                     - For example: {"Deployment" : "Development"}
 */
export const tagResource = async (
  resourceArn = "arn:aws:medical-imaging:us-east-1:xxxxxx:datastore/xxxxx/imageset/xxx",
  tags = {},
) => {
  const response = await medicalImagingClient.send(
    new TagResourceCommand({ resourceArn: resourceArn, tags: tags }),
  );
  console.log(response);
  // {
  //     '$metadata': {
  //        httpStatusCode: 204,
  //         requestId: '8a6de9a3-ec8e-47ef-8643-473518b19d45',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  //    }
  // }

  return response;
};
```
+  Untuk detail API, lihat [TagResource](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/TagResourceCommand)di *Referensi AWS SDK untuk JavaScript API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples). 

------
#### [ Python ]

**SDK untuk Python (Boto3)**  

```
class MedicalImagingWrapper:
    def __init__(self, health_imaging_client):
        self.health_imaging_client = health_imaging_client


    def tag_resource(self, resource_arn, tags):
        """
        Tag a resource.

        :param resource_arn: The ARN of the resource.
        :param tags: The tags to apply.
        """
        try:
            self.health_imaging_client.tag_resource(resourceArn=resource_arn, tags=tags)
        except ClientError as err:
            logger.error(
                "Couldn't tag resource. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
```
Kode berikut membuat instance objek. MedicalImagingWrapper   

```
    client = boto3.client("medical-imaging")
    medical_imaging_wrapper = MedicalImagingWrapper(client)
```
+  Untuk detail API, lihat [TagResource](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/TagResource)di *AWS SDK for Python (Boto3) Referensi* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/medical-imaging#code-examples). 

------
#### [ SAP ABAP ]

**SDK for SAP ABAP**  

```
    TRY.
        " iv_resource_arn = 'arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012'
        lo_mig->tagresource(
          iv_resourcearn = iv_resource_arn
          it_tags = it_tags ).
        MESSAGE 'Resource tagged successfully.' TYPE 'I'.
      CATCH /aws1/cx_migaccessdeniedex.
        MESSAGE 'Access denied.' TYPE 'I'.
      CATCH /aws1/cx_miginternalserverex.
        MESSAGE 'Internal server error.' TYPE 'I'.
      CATCH /aws1/cx_migresourcenotfoundex.
        MESSAGE 'Resource not found.' TYPE 'I'.
      CATCH /aws1/cx_migthrottlingex.
        MESSAGE 'Request throttled.' TYPE 'I'.
      CATCH /aws1/cx_migvalidationex.
        MESSAGE 'Validation error.' TYPE 'I'.
    ENDTRY.
```
+  Untuk detail API, lihat [TagResource](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)di *AWS SDK untuk referensi SAP ABAP* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/mig#code-examples). 

------

# Gunakan `UntagResource` dengan AWS SDK atau CLI
<a name="medical-imaging_example_medical-imaging_UntagResource_section"></a>

Contoh kode berikut menunjukkan cara menggunakan`UntagResource`.

Contoh tindakan adalah kutipan kode dari program yang lebih besar dan harus dijalankan dalam konteks. Anda dapat melihat tindakan ini dalam konteks dalam contoh kode berikut: 
+  [Menandai penyimpanan data](medical-imaging_example_medical-imaging_Scenario_TaggingDataStores_section.md) 
+  [Menandai set gambar](medical-imaging_example_medical-imaging_Scenario_TaggingImageSets_section.md) 

------
#### [ CLI ]

**AWS CLI**  
**Contoh 1: Untuk menghapus tag penyimpanan data**  
Contoh `untag-resource` kode berikut untags penyimpanan data.  

```
aws medical-imaging untag-resource \
    --resource-arn "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012" \
    --tag-keys '["Deployment"]'
```
Perintah ini tidak menghasilkan output.  
**Contoh 2: Untuk menghapus tag set gambar**  
Contoh `untag-resource` kode berikut untag set gambar.  

```
aws medical-imaging untag-resource \
    --resource-arn "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012/imageset/18f88ac7870584f58d56256646b4d92b" \
    --tag-keys '["Deployment"]'
```
Perintah ini tidak menghasilkan output.  
Untuk informasi selengkapnya, lihat [Menandai sumber daya AWS HealthImaging](https://docs.aws.amazon.com/healthimaging/latest/devguide/tagging.html) di *Panduan AWS HealthImaging Pengembang*.  
+  Untuk detail API, lihat [UntagResource](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/medical-imaging/untag-resource.html)di *Referensi AWS CLI Perintah*. 

------
#### [ Java ]

**SDK untuk Java 2.x**  

```
    public static void untagMedicalImagingResource(MedicalImagingClient medicalImagingClient,
            String resourceArn,
            Collection<String> tagKeys) {
        try {
            UntagResourceRequest untagResourceRequest = UntagResourceRequest.builder()
                    .resourceArn(resourceArn)
                    .tagKeys(tagKeys)
                    .build();

            medicalImagingClient.untagResource(untagResourceRequest);

            System.out.println("Tags have been removed from the resource.");
        } catch (MedicalImagingException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }
    }
```
+  Untuk detail API, lihat [UntagResource](https://docs.aws.amazon.com/goto/SdkForJavaV2/medical-imaging-2023-07-19/UntagResource)di *Referensi AWS SDK for Java 2.x API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/medicalimaging#code-examples). 

------
#### [ JavaScript ]

**SDK untuk JavaScript (v3)**  

```
import { UntagResourceCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} resourceArn - The Amazon Resource Name (ARN) for the data store or image set.
 * @param {string[]} tagKeys - The keys of the tags to remove.
 */
export const untagResource = async (
  resourceArn = "arn:aws:medical-imaging:us-east-1:xxxxxx:datastore/xxxxx/imageset/xxx",
  tagKeys = [],
) => {
  const response = await medicalImagingClient.send(
    new UntagResourceCommand({ resourceArn: resourceArn, tagKeys: tagKeys }),
  );
  console.log(response);
  // {
  //     '$metadata': {
  //        httpStatusCode: 204,
  //         requestId: '8a6de9a3-ec8e-47ef-8643-473518b19d45',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  //    }
  // }

  return response;
};
```
+  Untuk detail API, lihat [UntagResource](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/UntagResourceCommand)di *Referensi AWS SDK untuk JavaScript API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples). 

------
#### [ Python ]

**SDK untuk Python (Boto3)**  

```
class MedicalImagingWrapper:
    def __init__(self, health_imaging_client):
        self.health_imaging_client = health_imaging_client


    def untag_resource(self, resource_arn, tag_keys):
        """
        Untag a resource.

        :param resource_arn: The ARN of the resource.
        :param tag_keys: The tag keys to remove.
        """
        try:
            self.health_imaging_client.untag_resource(
                resourceArn=resource_arn, tagKeys=tag_keys
            )
        except ClientError as err:
            logger.error(
                "Couldn't untag resource. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
```
Kode berikut membuat instance objek. MedicalImagingWrapper   

```
    client = boto3.client("medical-imaging")
    medical_imaging_wrapper = MedicalImagingWrapper(client)
```
+  Untuk detail API, lihat [UntagResource](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/UntagResource)di *AWS SDK for Python (Boto3) Referensi* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/medical-imaging#code-examples). 

------
#### [ SAP ABAP ]

**SDK for SAP ABAP**  

```
    TRY.
        " iv_resource_arn = 'arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012'
        lo_mig->untagresource(
          iv_resourcearn = iv_resource_arn
          it_tagkeys = it_tag_keys ).
        MESSAGE 'Resource untagged successfully.' TYPE 'I'.
      CATCH /aws1/cx_migaccessdeniedex.
        MESSAGE 'Access denied.' TYPE 'I'.
      CATCH /aws1/cx_miginternalserverex.
        MESSAGE 'Internal server error.' TYPE 'I'.
      CATCH /aws1/cx_migresourcenotfoundex.
        MESSAGE 'Resource not found.' TYPE 'I'.
      CATCH /aws1/cx_migthrottlingex.
        MESSAGE 'Request throttled.' TYPE 'I'.
      CATCH /aws1/cx_migvalidationex.
        MESSAGE 'Validation error.' TYPE 'I'.
    ENDTRY.
```
+  Untuk detail API, lihat [UntagResource](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)di *AWS SDK untuk referensi SAP ABAP* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/mig#code-examples). 

------

# Gunakan `UpdateImageSetMetadata` dengan AWS SDK atau CLI
<a name="medical-imaging_example_medical-imaging_UpdateImageSetMetadata_section"></a>

Contoh kode berikut menunjukkan cara menggunakan`UpdateImageSetMetadata`.

------
#### [ CLI ]

**AWS CLI**  
**Contoh 1: Untuk menyisipkan atau memperbarui atribut dalam metadata set gambar**  
`update-image-set-metadata`Contoh berikut menyisipkan atau memperbarui atribut dalam metadata set gambar.  

```
aws medical-imaging update-image-set-metadata \
    --datastore-id 12345678901234567890123456789012 \
    --image-set-id ea92b0d8838c72a3f25d00d13616f87e \
    --latest-version-id 1 \
    --cli-binary-format raw-in-base64-out \
    --update-image-set-metadata-updates file://metadata-updates.json
```
Isi dari `metadata-updates.json`  

```
{
    "DICOMUpdates": {
        "updatableAttributes": "{\"SchemaVersion\":1.1,\"Patient\":{\"DICOM\":{\"PatientName\":\"MX^MX\"}}}"
    }
}
```
Output:  

```
{
    "latestVersionId": "2",
    "imageSetWorkflowStatus": "UPDATING",
    "updatedAt": 1680042257.908,
    "imageSetId": "ea92b0d8838c72a3f25d00d13616f87e",
    "imageSetState": "LOCKED",
    "createdAt": 1680027126.436,
    "datastoreId": "12345678901234567890123456789012"
}
```
**Contoh 2: Untuk menghapus atribut dari metadata set gambar**  
`update-image-set-metadata`Contoh berikut menghapus atribut dari metadata set gambar.  

```
aws medical-imaging update-image-set-metadata \
    --datastore-id 12345678901234567890123456789012 \
    --image-set-id ea92b0d8838c72a3f25d00d13616f87e \
    --latest-version-id 1 \
    --cli-binary-format raw-in-base64-out \
    --update-image-set-metadata-updates file://metadata-updates.json
```
Isi dari `metadata-updates.json`  

```
{
    "DICOMUpdates": {
        "removableAttributes": "{\"SchemaVersion\":1.1,\"Study\":{\"DICOM\":{\"StudyDescription\":\"CHEST\"}}}"
    }
}
```
Output:  

```
{
    "latestVersionId": "2",
    "imageSetWorkflowStatus": "UPDATING",
    "updatedAt": 1680042257.908,
    "imageSetId": "ea92b0d8838c72a3f25d00d13616f87e",
    "imageSetState": "LOCKED",
    "createdAt": 1680027126.436,
    "datastoreId": "12345678901234567890123456789012"
}
```
**Contoh 3: Untuk menghapus instance dari metadata set gambar**  
`update-image-set-metadata`Contoh berikut menghapus instance dari metadata set gambar.  

```
aws medical-imaging update-image-set-metadata \
    --datastore-id 12345678901234567890123456789012 \
    --image-set-id ea92b0d8838c72a3f25d00d13616f87e \
    --latest-version-id 1 \
    --cli-binary-format raw-in-base64-out \
    --update-image-set-metadata-updates file://metadata-updates.json \
    --force
```
Isi dari `metadata-updates.json`  

```
{
    "DICOMUpdates": {
        "removableAttributes": "{\"SchemaVersion\": 1.1,\"Study\": {\"Series\": {\"1.1.1.1.1.1.12345.123456789012.123.12345678901234.1\": {\"Instances\": {\"1.1.1.1.1.1.12345.123456789012.123.12345678901234.1\": {}}}}}}"
    }
}
```
Output:  

```
{
    "latestVersionId": "2",
    "imageSetWorkflowStatus": "UPDATING",
    "updatedAt": 1680042257.908,
    "imageSetId": "ea92b0d8838c72a3f25d00d13616f87e",
    "imageSetState": "LOCKED",
    "createdAt": 1680027126.436,
    "datastoreId": "12345678901234567890123456789012"
}
```
**Contoh 4: Untuk mengembalikan gambar yang disetel ke versi sebelumnya**  
`update-image-set-metadata`Contoh berikut menunjukkan cara mengembalikan gambar yang disetel ke versi sebelumnya. CopyImageSet dan UpdateImageSetMetadata tindakan membuat versi baru dari set gambar.  

```
aws medical-imaging update-image-set-metadata \
    --datastore-id 12345678901234567890123456789012 \
    --image-set-id 53d5fdb05ca4d46ac7ca64b06545c66e \
    --latest-version-id 3 \
    --cli-binary-format raw-in-base64-out \
    --update-image-set-metadata-updates '{"revertToVersionId": "1"}'
```
Output:  

```
{
    "datastoreId": "12345678901234567890123456789012",
    "imageSetId": "53d5fdb05ca4d46ac7ca64b06545c66e",
    "latestVersionId": "4",
    "imageSetState": "LOCKED",
    "imageSetWorkflowStatus": "UPDATING",
    "createdAt": 1680027126.436,
    "updatedAt": 1680042257.908
}
```
**Contoh 5: Untuk menambahkan elemen data DICOM pribadi ke sebuah instance**  
`update-image-set-metadata`Contoh berikut menunjukkan bagaimana menambahkan elemen pribadi untuk contoh tertentu dalam set gambar. Standar DICOM memungkinkan elemen data pribadi untuk komunikasi informasi yang tidak dapat terkandung dalam elemen data standar. Anda dapat membuat, memperbarui, dan menghapus elemen data pribadi dengan UpdateImageSetMetadata tindakan.  

```
aws medical-imaging update-image-set-metadata \
    --datastore-id 12345678901234567890123456789012 \
    --image-set-id 53d5fdb05ca4d46ac7ca64b06545c66e \
    --latest-version-id 1 \
    --cli-binary-format raw-in-base64-out \
    --force \
    --update-image-set-metadata-updates file://metadata-updates.json
```
Isi dari `metadata-updates.json`  

```
{
    "DICOMUpdates": {
        "updatableAttributes": "{\"SchemaVersion\": 1.1,\"Study\": {\"Series\": {\"1.1.1.1.1.1.12345.123456789012.123.12345678901234.1\": {\"Instances\": {\"1.1.1.1.1.1.12345.123456789012.123.12345678901234.1\": {\"DICOM\": {\"001910F9\": \"97\"},\"DICOMVRs\": {\"001910F9\": \"DS\"}}}}}}}"
    }
}
```
Output:  

```
{
    "latestVersionId": "2",
    "imageSetWorkflowStatus": "UPDATING",
    "updatedAt": 1680042257.908,
    "imageSetId": "53d5fdb05ca4d46ac7ca64b06545c66e",
    "imageSetState": "LOCKED",
    "createdAt": 1680027126.436,
    "datastoreId": "12345678901234567890123456789012"
}
```
**Contoh 6: Untuk memperbarui elemen data DICOM pribadi ke sebuah instance**  
`update-image-set-metadata`Contoh berikut menunjukkan cara memperbarui nilai elemen data pribadi milik sebuah instance dalam kumpulan gambar.  

```
aws medical-imaging update-image-set-metadata \
    --datastore-id 12345678901234567890123456789012 \
    --image-set-id 53d5fdb05ca4d46ac7ca64b06545c66e \
    --latest-version-id 1 \
    --cli-binary-format raw-in-base64-out \
    --force \
    --update-image-set-metadata-updates file://metadata-updates.json
```
Isi dari `metadata-updates.json`  

```
{
    "DICOMUpdates": {
        "updatableAttributes": "{\"SchemaVersion\": 1.1,\"Study\": {\"Series\": {\"1.1.1.1.1.1.12345.123456789012.123.12345678901234.1\": {\"Instances\": {\"1.1.1.1.1.1.12345.123456789012.123.12345678901234.1\": {\"DICOM\": {\"00091001\": \"GE_GENESIS_DD\"}}}}}}}"
    }
}
```
Output:  

```
{
    "latestVersionId": "2",
    "imageSetWorkflowStatus": "UPDATING",
    "updatedAt": 1680042257.908,
    "imageSetId": "53d5fdb05ca4d46ac7ca64b06545c66e",
    "imageSetState": "LOCKED",
    "createdAt": 1680027126.436,
    "datastoreId": "12345678901234567890123456789012"
}
```
**Contoh 7: Untuk memperbarui SOPInstance UID dengan parameter gaya**  
`update-image-set-metadata`Contoh berikut menunjukkan cara memperbarui SOPInstance UID, menggunakan parameter gaya untuk mengganti kendala metadata DICOM.  

```
aws medical-imaging update-image-set-metadata \
        --datastore-id 12345678901234567890123456789012 \
        --image-set-id 53d5fdb05ca4d46ac7ca64b06545c66e \
        --latest-version-id 1 \
        --cli-binary-format raw-in-base64-out \
        --force \
        --update-image-set-metadata-updates file://metadata-updates.json
```
Isi dari `metadata-updates.json`  

```
{
    "DICOMUpdates": {
        "updatableAttributes": "{\"SchemaVersion\":1.1,\"Study\":{\"Series\":{\"1.3.6.1.4.1.5962.99.1.3633258862.2104868982.1369432891697.3656.0\":{\"Instances\":{\"1.3.6.1.4.1.5962.99.1.3633258862.2104868982.1369432891697.3659.0\":{\"DICOM\":{\"SOPInstanceUID\":\"1.3.6.1.4.1.5962.99.1.3633258862.2104868982.1369432891697.3659.9\"}}}}}}}"
    }
}
```
Output:  

```
{
    "latestVersionId": "2",
    "imageSetWorkflowStatus": "UPDATING",
    "updatedAt": 1680042257.908,
    "imageSetId": "53d5fdb05ca4d46ac7ca64b06545c66e",
    "imageSetState": "LOCKED",
    "createdAt": 1680027126.436,
    "datastoreId": "12345678901234567890123456789012"
}
```
Untuk informasi selengkapnya, lihat [Memperbarui metadata set gambar](https://docs.aws.amazon.com/healthimaging/latest/devguide/update-image-set-metadata.html) di Panduan *AWS HealthImaging Pengembang*.  
+  Untuk detail API, lihat [UpdateImageSetMetadata](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/medical-imaging/update-image-set-metadata.html)di *Referensi AWS CLI Perintah*. 

------
#### [ Java ]

**SDK untuk Java 2.x**  

```
    /**
     * Update the metadata of an AWS HealthImaging image set.
     *
     * @param medicalImagingClient - The AWS HealthImaging client object.
     * @param datastoreId          - The datastore ID.
     * @param imageSetId           - The image set ID.
     * @param versionId            - The version ID.
     * @param metadataUpdates      - A MetadataUpdates object containing the updates.
     * @param force                - The force flag.
     * @throws MedicalImagingException - Base exception for all service exceptions thrown by AWS HealthImaging.
     */
    public static void updateMedicalImageSetMetadata(MedicalImagingClient medicalImagingClient,
                                                     String datastoreId,
                                                     String imageSetId,
                                                     String versionId,
                                                     MetadataUpdates metadataUpdates,
                                                     boolean force) {
        try {
            UpdateImageSetMetadataRequest updateImageSetMetadataRequest = UpdateImageSetMetadataRequest
                    .builder()
                    .datastoreId(datastoreId)
                    .imageSetId(imageSetId)
                    .latestVersionId(versionId)
                    .updateImageSetMetadataUpdates(metadataUpdates)
                    .force(force)
                    .build();

            UpdateImageSetMetadataResponse response = medicalImagingClient.updateImageSetMetadata(updateImageSetMetadataRequest);

            System.out.println("The image set metadata was updated" + response);
        } catch (MedicalImagingException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            throw e;
        }
    }
```
Kasus penggunaan \$11: Menyisipkan atau memperbarui atribut.  

```
                final String insertAttributes = """
                        {
                          "SchemaVersion": 1.1,
                          "Study": {
                            "DICOM": {
                              "StudyDescription": "CT CHEST"
                            }
                          }
                        }
                        """;
                MetadataUpdates metadataInsertUpdates = MetadataUpdates.builder()
                        .dicomUpdates(DICOMUpdates.builder()
                                .updatableAttributes(SdkBytes.fromByteBuffer(
                                        ByteBuffer.wrap(insertAttributes
                                                .getBytes(StandardCharsets.UTF_8))))
                                .build())
                        .build();

                updateMedicalImageSetMetadata(medicalImagingClient, datastoreId, imagesetId,
                        versionid, metadataInsertUpdates, force);
```
Kasus penggunaan \$12: Hapus atribut.  

```
                final String removeAttributes = """
                        {
                          "SchemaVersion": 1.1,
                          "Study": {
                            "DICOM": {
                              "StudyDescription": "CT CHEST"
                            }
                          }
                        }
                        """;
                MetadataUpdates metadataRemoveUpdates = MetadataUpdates.builder()
                        .dicomUpdates(DICOMUpdates.builder()
                                .removableAttributes(SdkBytes.fromByteBuffer(
                                        ByteBuffer.wrap(removeAttributes
                                                .getBytes(StandardCharsets.UTF_8))))
                                .build())
                        .build();

                updateMedicalImageSetMetadata(medicalImagingClient, datastoreId, imagesetId,
                        versionid, metadataRemoveUpdates, force);
```
Use case \$13: Hapus sebuah instance.  

```
                final String removeInstance = """
                        {
                          "SchemaVersion": 1.1,
                          "Study": {
                            "Series": {
                              "1.1.1.1.1.1.12345.123456789012.123.12345678901234.1": {
                                "Instances": {
                                  "1.1.1.1.1.1.12345.123456789012.123.12345678901234.1": {}
                                }
                              }
                            }
                          }
                        }      
                        """;
                MetadataUpdates metadataRemoveUpdates = MetadataUpdates.builder()
                        .dicomUpdates(DICOMUpdates.builder()
                                .removableAttributes(SdkBytes.fromByteBuffer(
                                        ByteBuffer.wrap(removeInstance
                                                .getBytes(StandardCharsets.UTF_8))))
                                .build())
                        .build();

                updateMedicalImageSetMetadata(medicalImagingClient, datastoreId, imagesetId,
                        versionid, metadataRemoveUpdates, force);
```
Kasus penggunaan \$14: Kembalikan ke versi sebelumnya.  

```
                // In this case, revert to previous version.
                String revertVersionId = Integer.toString(Integer.parseInt(versionid) - 1);
                MetadataUpdates metadataRemoveUpdates = MetadataUpdates.builder()
                        .revertToVersionId(revertVersionId)
                        .build();
                updateMedicalImageSetMetadata(medicalImagingClient, datastoreId, imagesetId,
                        versionid, metadataRemoveUpdates, force);
```
+  Untuk detail API, lihat [UpdateImageSetMetadata](https://docs.aws.amazon.com/goto/SdkForJavaV2/medical-imaging-2023-07-19/UpdateImageSetMetadata)di *Referensi AWS SDK for Java 2.x API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/medicalimaging#code-examples). 

------
#### [ JavaScript ]

**SDK untuk JavaScript (v3)**  

```
import { UpdateImageSetMetadataCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} datastoreId - The ID of the HealthImaging data store.
 * @param {string} imageSetId - The ID of the HealthImaging image set.
 * @param {string} latestVersionId - The ID of the HealthImaging image set version.
 * @param {{}} updateMetadata - The metadata to update.
 * @param {boolean} force - Force the update.
 */
export const updateImageSetMetadata = async (
  datastoreId = "xxxxxxxxxx",
  imageSetId = "xxxxxxxxxx",
  latestVersionId = "1",
  updateMetadata = "{}",
  force = false,
) => {
  try {
    const response = await medicalImagingClient.send(
      new UpdateImageSetMetadataCommand({
        datastoreId: datastoreId,
        imageSetId: imageSetId,
        latestVersionId: latestVersionId,
        updateImageSetMetadataUpdates: updateMetadata,
        force: force,
      }),
    );
    console.log(response);
    // {
    //     '$metadata': {
    //     httpStatusCode: 200,
    //         requestId: '7966e869-e311-4bff-92ec-56a61d3003ea',
    //         extendedRequestId: undefined,
    //         cfId: undefined,
    //         attempts: 1,
    //         totalRetryDelay: 0
    // },
    //     createdAt: 2023-09-22T14:49:26.427Z,
    //     datastoreId: 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx',
    //     imageSetId: 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx',
    //     imageSetState: 'LOCKED',
    //     imageSetWorkflowStatus: 'UPDATING',
    //     latestVersionId: '4',
    //     updatedAt: 2023-09-27T19:41:43.494Z
    // }
    return response;
  } catch (err) {
    console.error(err);
  }
};
```
Kasus penggunaan \$11: Menyisipkan atau memperbarui atribut dan memaksa pembaruan.  

```
    const insertAttributes = JSON.stringify({
      SchemaVersion: 1.1,
      Study: {
        DICOM: {
          StudyDescription: "CT CHEST",
        },
      },
    });

    const updateMetadata = {
      DICOMUpdates: {
        updatableAttributes: new TextEncoder().encode(insertAttributes),
      },
    };

    await updateImageSetMetadata(
      datastoreID,
      imageSetID,
      versionID,
      updateMetadata,
      true,
    );
```
Kasus penggunaan \$12: Hapus atribut.  

```
    // Attribute key and value must match the existing attribute.
    const remove_attribute = JSON.stringify({
      SchemaVersion: 1.1,
      Study: {
        DICOM: {
          StudyDescription: "CT CHEST",
        },
      },
    });

    const updateMetadata = {
      DICOMUpdates: {
        removableAttributes: new TextEncoder().encode(remove_attribute),
      },
    };

    await updateImageSetMetadata(
      datastoreID,
      imageSetID,
      versionID,
      updateMetadata,
    );
```
Use case \$13: Hapus sebuah instance.  

```
    const remove_instance = JSON.stringify({
      SchemaVersion: 1.1,
      Study: {
        Series: {
          "1.1.1.1.1.1.12345.123456789012.123.12345678901234.1": {
            Instances: {
              "1.1.1.1.1.1.12345.123456789012.123.12345678901234.1": {},
            },
          },
        },
      },
    });

    const updateMetadata = {
      DICOMUpdates: {
        removableAttributes: new TextEncoder().encode(remove_instance),
      },
    };

    await updateImageSetMetadata(
      datastoreID,
      imageSetID,
      versionID,
      updateMetadata,
    );
```
Kasus penggunaan \$14: Kembalikan ke versi sebelumnya.  

```
    const updateMetadata = {
      revertToVersionId: "1",
    };

    await updateImageSetMetadata(
      datastoreID,
      imageSetID,
      versionID,
      updateMetadata,
    );
```
+  Untuk detail API, lihat [UpdateImageSetMetadata](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/UpdateImageSetMetadataCommand)di *Referensi AWS SDK untuk JavaScript API*. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples). 

------
#### [ Python ]

**SDK untuk Python (Boto3)**  

```
class MedicalImagingWrapper:
    def __init__(self, health_imaging_client):
        self.health_imaging_client = health_imaging_client


    def update_image_set_metadata(
        self, datastore_id, image_set_id, version_id, metadata, force=False
    ):
        """
        Update the metadata of an image set.

        :param datastore_id: The ID of the data store.
        :param image_set_id: The ID of the image set.
        :param version_id: The ID of the image set version.
        :param metadata: The image set metadata as a dictionary.
            For example {"DICOMUpdates": {"updatableAttributes":
            "{\"SchemaVersion\":1.1,\"Patient\":{\"DICOM\":{\"PatientName\":\"Garcia^Gloria\"}}}"}}
        :param: force: Force the update.
        :return: The updated image set metadata.
        """
        try:
            updated_metadata = self.health_imaging_client.update_image_set_metadata(
                imageSetId=image_set_id,
                datastoreId=datastore_id,
                latestVersionId=version_id,
                updateImageSetMetadataUpdates=metadata,
                force=force,
            )
        except ClientError as err:
            logger.error(
                "Couldn't update image set metadata. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return updated_metadata
```
Kode berikut membuat instance objek. MedicalImagingWrapper   

```
    client = boto3.client("medical-imaging")
    medical_imaging_wrapper = MedicalImagingWrapper(client)
```
Kasus penggunaan \$11: Menyisipkan atau memperbarui atribut.  

```
            attributes = """{
                    "SchemaVersion": 1.1,
                    "Study": {
                        "DICOM": {
                            "StudyDescription": "CT CHEST"
                        }
                    }
                }"""
            metadata = {"DICOMUpdates": {"updatableAttributes": attributes}}

            self.update_image_set_metadata(
                data_store_id, image_set_id, version_id, metadata, force
            )
```
Kasus penggunaan \$12: Hapus atribut.  

```
            # Attribute key and value must match the existing attribute.
            attributes = """{
                    "SchemaVersion": 1.1,
                    "Study": {
                        "DICOM": {
                            "StudyDescription": "CT CHEST"
                        }
                    }
                }"""
            metadata = {"DICOMUpdates": {"removableAttributes": attributes}}

            self.update_image_set_metadata(
                data_store_id, image_set_id, version_id, metadata, force
            )
```
Use case \$13: Hapus sebuah instance.  

```
            attributes = """{
                    "SchemaVersion": 1.1,
                    "Study": {
                        "Series": {
                            "1.1.1.1.1.1.12345.123456789012.123.12345678901234.1": {
                                "Instances": {
                                    "1.1.1.1.1.1.12345.123456789012.123.12345678901234.1": {}
                                }
                            }
                        }
                    }
                }"""
            metadata = {"DICOMUpdates": {"removableAttributes": attributes}}

            self.update_image_set_metadata(
                data_store_id, image_set_id, version_id, metadata, force
            )
```
Kasus penggunaan \$14: Kembalikan ke versi sebelumnya.  

```
            metadata = {"revertToVersionId": "1"}

            self.update_image_set_metadata(
                data_store_id, image_set_id, version_id, metadata, force
            )
```
+  Untuk detail API, lihat [UpdateImageSetMetadata](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/UpdateImageSetMetadata)di *AWS SDK for Python (Boto3) Referensi* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/medical-imaging#code-examples). 

------
#### [ SAP ABAP ]

**SDK for SAP ABAP**  

```
    TRY.
        " iv_datastore_id = '1234567890123456789012345678901234567890'
        " iv_image_set_id = '1234567890123456789012345678901234567890'
        " iv_latest_version_id = '1'
        " iv_force = abap_false
        oo_result = lo_mig->updateimagesetmetadata(
          iv_datastoreid = iv_datastore_id
          iv_imagesetid = iv_image_set_id
          iv_latestversionid = iv_latest_version_id
          io_updateimagesetmetupdates = io_metadata_updates
          iv_force = iv_force ).
        DATA(lv_new_version) = oo_result->get_latestversionid( ).
        MESSAGE |Image set metadata updated to version: { lv_new_version }.| TYPE 'I'.
      CATCH /aws1/cx_migaccessdeniedex.
        MESSAGE 'Access denied.' TYPE 'I'.
      CATCH /aws1/cx_migconflictexception.
        MESSAGE 'Conflict error.' TYPE 'I'.
      CATCH /aws1/cx_miginternalserverex.
        MESSAGE 'Internal server error.' TYPE 'I'.
      CATCH /aws1/cx_migresourcenotfoundex.
        MESSAGE 'Image set not found.' TYPE 'I'.
      CATCH /aws1/cx_migservicequotaexcdex.
        MESSAGE 'Service quota exceeded.' TYPE 'I'.
      CATCH /aws1/cx_migthrottlingex.
        MESSAGE 'Request throttled.' TYPE 'I'.
      CATCH /aws1/cx_migvalidationex.
        MESSAGE 'Validation error.' TYPE 'I'.
    ENDTRY.
```
+  Untuk detail API, lihat [UpdateImageSetMetadata](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)di *AWS SDK untuk referensi SAP ABAP* API. 
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/mig#code-examples). 

------

# Skenario untuk HealthImaging menggunakan AWS SDKs
<a name="medical-imaging_code_examples_scenarios"></a>

Contoh kode berikut menunjukkan kepada Anda bagaimana menerapkan skenario umum HealthImaging dengan AWS SDKs. Skenario ini menunjukkan kepada Anda bagaimana menyelesaikan tugas tertentu dengan memanggil beberapa fungsi di dalam HealthImaging atau dikombinasikan dengan yang lain Layanan AWS. Setiap skenario menyertakan tautan ke kode sumber lengkap, di mana Anda dapat menemukan instruksi tentang cara mengatur dan menjalankan kode. 

Skenario menargetkan tingkat pengalaman menengah untuk membantu Anda memahami tindakan layanan dalam konteks.

**Topics**
+ [Memulai dengan set gambar dan bingkai gambar](medical-imaging_example_medical-imaging_Scenario_ImageSetsAndFrames_section.md)
+ [Menandai penyimpanan data](medical-imaging_example_medical-imaging_Scenario_TaggingDataStores_section.md)
+ [Menandai set gambar](medical-imaging_example_medical-imaging_Scenario_TaggingImageSets_section.md)

# Memulai set HealthImaging gambar dan bingkai gambar menggunakan AWS SDK
<a name="medical-imaging_example_medical-imaging_Scenario_ImageSetsAndFrames_section"></a>

Contoh kode berikut menunjukkan cara mengimpor file DICOM dan mengunduh bingkai gambar di HealthImaging.

Implementasinya disusun sebagai aplikasi baris perintah. 
+ Siapkan sumber daya untuk impor DICOM.
+ Impor file DICOM ke penyimpanan data.
+ Ambil gambar yang ditetapkan IDs untuk pekerjaan impor.
+ Ambil bingkai gambar IDs untuk set gambar.
+ Unduh, dekode, dan verifikasi bingkai gambar.
+ Pembersihan sumber daya 

------
#### [ C\$1\$1 ]

**SDK untuk C\$1\$1**  
Buat CloudFormation tumpukan dengan sumber daya yang diperlukan.  

```
    Aws::String inputBucketName;
    Aws::String outputBucketName;
    Aws::String dataStoreId;
    Aws::String roleArn;
    Aws::String stackName;

    if (askYesNoQuestion(
            "Would you like to let this workflow create the resources for you? (y/n) ")) {
        stackName = askQuestion(
                "Enter a name for the AWS CloudFormation stack to create. ");
        Aws::String dataStoreName = askQuestion(
                "Enter a name for the HealthImaging datastore to create. ");

        Aws::Map<Aws::String, Aws::String> outputs = createCloudFormationStack(
                stackName,
                dataStoreName,
                clientConfiguration);

        if (!retrieveOutputs(outputs, dataStoreId, inputBucketName, outputBucketName,
                             roleArn)) {
            return false;
        }

        std::cout << "The following resources have been created." << std::endl;
        std::cout << "A HealthImaging datastore with ID: " << dataStoreId << "."
                  << std::endl;
        std::cout << "An Amazon S3 input bucket named: " << inputBucketName << "."
                  << std::endl;
        std::cout << "An Amazon S3 output bucket named: " << outputBucketName << "."
                  << std::endl;
        std::cout << "An IAM role with the ARN: " << roleArn << "." << std::endl;
        askQuestion("Enter return to continue.", alwaysTrueTest);
    }
    else {
        std::cout << "You have chosen to use preexisting resources:" << std::endl;
        dataStoreId = askQuestion(
                "Enter the data store ID of the HealthImaging datastore you wish to use: ");
        inputBucketName = askQuestion(
                "Enter the name of the S3 input bucket you wish to use: ");
        outputBucketName = askQuestion(
                "Enter the name of the S3 output bucket you wish to use: ");
        roleArn = askQuestion(
                "Enter the ARN for the IAM role with the proper permissions to import a DICOM series: ");
    }
```
Salin file DICOM ke bucket impor Amazon S3.  

```
    std::cout
            << "This workflow uses DICOM files from the National Cancer Institute Imaging Data\n"
            << "Commons (IDC) Collections." << std::endl;
    std::cout << "Here is the link to their website." << std::endl;
    std::cout << "https://registry.opendata.aws/nci-imaging-data-commons/" << std::endl;
    std::cout << "We will use DICOM files stored in an S3 bucket managed by the IDC."
              << std::endl;
    std::cout
            << "First one of the DICOM folders in the IDC collection must be copied to your\n"
               "input S3 bucket."
            << std::endl;
    std::cout << "You have the choice of one of the following "
              << IDC_ImageChoices.size() << " folders to copy." << std::endl;

    int index = 1;
    for (auto &idcChoice: IDC_ImageChoices) {
        std::cout << index << " - " << idcChoice.mDescription << std::endl;
        index++;
    }
    int choice = askQuestionForIntRange("Choose DICOM files to import: ", 1, 4);

    Aws::String fromDirectory = IDC_ImageChoices[choice - 1].mDirectory;
    Aws::String inputDirectory = "input";

    std::cout << "The files in the directory '" << fromDirectory << "' in the bucket '"
              << IDC_S3_BucketName << "' will be copied " << std::endl;
    std::cout << "to the folder '" << inputDirectory << "/" << fromDirectory
              << "' in the bucket '" << inputBucketName << "'." << std::endl;
    askQuestion("Enter return to start the copy.", alwaysTrueTest);

    if (!AwsDoc::Medical_Imaging::copySeriesBetweenBuckets(
            IDC_S3_BucketName,
            fromDirectory,
            inputBucketName,
            inputDirectory, clientConfiguration)) {
        std::cerr << "This workflow will exit because of an error." << std::endl;
        cleanup(stackName, dataStoreId, clientConfiguration);
        return false;
    }
```
Impor file DICOM ke penyimpanan data Amazon S3.  

```
bool AwsDoc::Medical_Imaging::startDicomImport(const Aws::String &dataStoreID,
                                               const Aws::String &inputBucketName,
                                               const Aws::String &inputDirectory,
                                               const Aws::String &outputBucketName,
                                               const Aws::String &outputDirectory,
                                               const Aws::String &roleArn,
                                               Aws::String &importJobId,
                                               const Aws::Client::ClientConfiguration &clientConfiguration) {
    bool result = false;
    if (startDICOMImportJob(dataStoreID, inputBucketName, inputDirectory,
                            outputBucketName, outputDirectory, roleArn, importJobId,
                            clientConfiguration)) {
        std::cout << "DICOM import job started with job ID " << importJobId << "."
                  << std::endl;
        result = waitImportJobCompleted(dataStoreID, importJobId, clientConfiguration);
        if (result) {
            std::cout << "DICOM import job completed." << std::endl;

        }
    }

    return result;
}

//! Routine which starts a HealthImaging import job.
/*!
  \param dataStoreID: The HealthImaging data store ID.
  \param inputBucketName: The name of the Amazon S3 bucket containing the DICOM files.
  \param inputDirectory: The directory in the S3 bucket containing the DICOM files.
  \param outputBucketName: The name of the S3 bucket for the output.
  \param outputDirectory: The directory in the S3 bucket to store the output.
  \param roleArn: The ARN of the IAM role with permissions for the import.
  \param importJobId: A string to receive the import job ID.
  \param clientConfig: Aws client configuration.
  \return bool: Function succeeded.
  */
bool AwsDoc::Medical_Imaging::startDICOMImportJob(
        const Aws::String &dataStoreID, const Aws::String &inputBucketName,
        const Aws::String &inputDirectory, const Aws::String &outputBucketName,
        const Aws::String &outputDirectory, const Aws::String &roleArn,
        Aws::String &importJobId,
        const Aws::Client::ClientConfiguration &clientConfig) {
    Aws::MedicalImaging::MedicalImagingClient medicalImagingClient(clientConfig);
    Aws::String inputURI = "s3://" + inputBucketName + "/" + inputDirectory + "/";
    Aws::String outputURI = "s3://" + outputBucketName + "/" + outputDirectory + "/";
    Aws::MedicalImaging::Model::StartDICOMImportJobRequest startDICOMImportJobRequest;
    startDICOMImportJobRequest.SetDatastoreId(dataStoreID);
    startDICOMImportJobRequest.SetDataAccessRoleArn(roleArn);
    startDICOMImportJobRequest.SetInputS3Uri(inputURI);
    startDICOMImportJobRequest.SetOutputS3Uri(outputURI);

    Aws::MedicalImaging::Model::StartDICOMImportJobOutcome startDICOMImportJobOutcome = medicalImagingClient.StartDICOMImportJob(
            startDICOMImportJobRequest);

    if (startDICOMImportJobOutcome.IsSuccess()) {
        importJobId = startDICOMImportJobOutcome.GetResult().GetJobId();
    }
    else {
        std::cerr << "Failed to start DICOM import job because "
                  << startDICOMImportJobOutcome.GetError().GetMessage() << std::endl;
    }

    return startDICOMImportJobOutcome.IsSuccess();
}


//! Routine which waits for a DICOM import job to complete.
/*!
 * @param dataStoreID: The HealthImaging data store ID.
 * @param importJobId: The import job ID.
 * @param clientConfiguration : Aws client configuration.
 * @return  bool: Function succeeded.
 */
bool AwsDoc::Medical_Imaging::waitImportJobCompleted(const Aws::String &datastoreID,
                                                     const Aws::String &importJobId,
                                                     const Aws::Client::ClientConfiguration &clientConfiguration) {

    Aws::MedicalImaging::Model::JobStatus jobStatus = Aws::MedicalImaging::Model::JobStatus::IN_PROGRESS;
    while (jobStatus == Aws::MedicalImaging::Model::JobStatus::IN_PROGRESS) {
        std::this_thread::sleep_for(std::chrono::seconds(1));

        Aws::MedicalImaging::Model::GetDICOMImportJobOutcome getDicomImportJobOutcome = getDICOMImportJob(
                datastoreID, importJobId,
                clientConfiguration);

        if (getDicomImportJobOutcome.IsSuccess()) {
            jobStatus = getDicomImportJobOutcome.GetResult().GetJobProperties().GetJobStatus();

            std::cout << "DICOM import job status: " <<
                      Aws::MedicalImaging::Model::JobStatusMapper::GetNameForJobStatus(
                              jobStatus) << std::endl;
        }
        else {
            std::cerr << "Failed to get import job status because "
                      << getDicomImportJobOutcome.GetError().GetMessage() << std::endl;
            return false;
        }
    }

    return jobStatus == Aws::MedicalImaging::Model::JobStatus::COMPLETED;
}

//! Routine which gets a HealthImaging DICOM import job's properties.
/*!
  \param dataStoreID: The HealthImaging data store ID.
  \param importJobID: The DICOM import job ID
  \param clientConfig: Aws client configuration.
  \return GetDICOMImportJobOutcome: The import job outcome.
*/
Aws::MedicalImaging::Model::GetDICOMImportJobOutcome
AwsDoc::Medical_Imaging::getDICOMImportJob(const Aws::String &dataStoreID,
                                           const Aws::String &importJobID,
                                           const Aws::Client::ClientConfiguration &clientConfig) {
    Aws::MedicalImaging::MedicalImagingClient client(clientConfig);
    Aws::MedicalImaging::Model::GetDICOMImportJobRequest request;
    request.SetDatastoreId(dataStoreID);
    request.SetJobId(importJobID);
    Aws::MedicalImaging::Model::GetDICOMImportJobOutcome outcome = client.GetDICOMImportJob(
            request);
    if (!outcome.IsSuccess()) {
        std::cerr << "GetDICOMImportJob error: "
                  << outcome.GetError().GetMessage() << std::endl;
    }

    return outcome;
}
```
Dapatkan set gambar yang dibuat oleh pekerjaan impor DICOM.  

```
bool
AwsDoc::Medical_Imaging::getImageSetsForDicomImportJob(const Aws::String &datastoreID,
                                                       const Aws::String &importJobId,
                                                       Aws::Vector<Aws::String> &imageSets,
                                                       const Aws::Client::ClientConfiguration &clientConfiguration) {
    Aws::MedicalImaging::Model::GetDICOMImportJobOutcome getDicomImportJobOutcome = getDICOMImportJob(
            datastoreID, importJobId, clientConfiguration);
    bool result = false;
    if (getDicomImportJobOutcome.IsSuccess()) {
        auto outputURI = getDicomImportJobOutcome.GetResult().GetJobProperties().GetOutputS3Uri();
        Aws::Http::URI uri(outputURI);
        const Aws::String &bucket = uri.GetAuthority();
        Aws::String key = uri.GetPath();

        Aws::S3::S3Client s3Client(clientConfiguration);
        Aws::S3::Model::GetObjectRequest objectRequest;
        objectRequest.SetBucket(bucket);
        objectRequest.SetKey(key + "/" + IMPORT_JOB_MANIFEST_FILE_NAME);

        auto getObjectOutcome = s3Client.GetObject(objectRequest);
        if (getObjectOutcome.IsSuccess()) {
            auto &data = getObjectOutcome.GetResult().GetBody();

            std::stringstream stringStream;
            stringStream << data.rdbuf();

            try {
                // Use JMESPath to extract the image set IDs.
                // https://jmespath.org/specification.html
                std::string jmesPathExpression = "jobSummary.imageSetsSummary[].imageSetId";
                jsoncons::json doc = jsoncons::json::parse(stringStream.str());

                jsoncons::json imageSetsJson = jsoncons::jmespath::search(doc,
                                                                          jmesPathExpression);\
                for (auto &imageSet: imageSetsJson.array_range()) {
                    imageSets.push_back(imageSet.as_string());
                }

                result = true;
            }
            catch (const std::exception &e) {
                std::cerr << e.what() << '\n';
            }

        }
        else {
            std::cerr << "Failed to get object because "
                      << getObjectOutcome.GetError().GetMessage() << std::endl;
        }

    }
    else {
        std::cerr << "Failed to get import job status because "
                  << getDicomImportJobOutcome.GetError().GetMessage() << std::endl;
    }

    return result;
}
```
Dapatkan informasi bingkai gambar untuk set gambar.  

```
bool AwsDoc::Medical_Imaging::getImageFramesForImageSet(const Aws::String &dataStoreID,
                                                        const Aws::String &imageSetID,
                                                        const Aws::String &outDirectory,
                                                        Aws::Vector<ImageFrameInfo> &imageFrames,
                                                        const Aws::Client::ClientConfiguration &clientConfiguration) {
    Aws::String fileName = outDirectory + "/" + imageSetID + "_metadata.json.gzip";
    bool result = false;
    if (getImageSetMetadata(dataStoreID, imageSetID, "", // Empty string for version ID.
                            fileName, clientConfiguration)) {
        try {
            std::string metadataGZip;
            {
                std::ifstream inFileStream(fileName.c_str(), std::ios::binary);
                if (!inFileStream) {
                    throw std::runtime_error("Failed to open file " + fileName);
                }

                std::stringstream stringStream;
                stringStream << inFileStream.rdbuf();
                metadataGZip = stringStream.str();
            }
            std::string metadataJson = gzip::decompress(metadataGZip.data(),
                                                        metadataGZip.size());
            // Use JMESPath to extract the image set IDs.
            // https://jmespath.org/specification.html
            jsoncons::json doc = jsoncons::json::parse(metadataJson);
            std::string jmesPathExpression = "Study.Series.*.Instances[].*[]";
            jsoncons::json instances = jsoncons::jmespath::search(doc,
                                                                  jmesPathExpression);
            for (auto &instance: instances.array_range()) {
                jmesPathExpression = "DICOM.RescaleSlope";
                std::string rescaleSlope = jsoncons::jmespath::search(instance,
                                                                      jmesPathExpression).to_string();
                jmesPathExpression = "DICOM.RescaleIntercept";
                std::string rescaleIntercept = jsoncons::jmespath::search(instance,
                                                                          jmesPathExpression).to_string();

                jmesPathExpression = "ImageFrames[][]";
                jsoncons::json imageFramesJson = jsoncons::jmespath::search(instance,
                                                                            jmesPathExpression);

                for (auto &imageFrame: imageFramesJson.array_range()) {
                    ImageFrameInfo imageFrameIDs;
                    imageFrameIDs.mImageSetId = imageSetID;
                    imageFrameIDs.mImageFrameId = imageFrame.find(
                            "ID")->value().as_string();
                    imageFrameIDs.mRescaleIntercept = rescaleIntercept;
                    imageFrameIDs.mRescaleSlope = rescaleSlope;
                    imageFrameIDs.MinPixelValue = imageFrame.find(
                            "MinPixelValue")->value().as_string();
                    imageFrameIDs.MaxPixelValue = imageFrame.find(
                            "MaxPixelValue")->value().as_string();

                    jmesPathExpression = "max_by(PixelDataChecksumFromBaseToFullResolution, &Width).Checksum";
                    jsoncons::json checksumJson = jsoncons::jmespath::search(imageFrame,
                                                                             jmesPathExpression);
                    imageFrameIDs.mFullResolutionChecksum = checksumJson.as_integer<uint32_t>();

                    imageFrames.emplace_back(imageFrameIDs);
                }
            }

            result = true;
        }
        catch (const std::exception &e) {
            std::cerr << "getImageFramesForImageSet failed because " << e.what()
                      << std::endl;
        }
    }

    return result;
}

//! Routine which gets a HealthImaging image set's metadata.
/*!
  \param dataStoreID: The HealthImaging data store ID.
  \param imageSetID: The HealthImaging image set ID.
  \param versionID: The HealthImaging image set version ID, ignored if empty.
  \param outputFilePath: The path where the metadata will be stored as gzipped json.
  \param clientConfig: Aws client configuration.
  \\return bool: Function succeeded.
*/
bool AwsDoc::Medical_Imaging::getImageSetMetadata(const Aws::String &dataStoreID,
                                                  const Aws::String &imageSetID,
                                                  const Aws::String &versionID,
                                                  const Aws::String &outputFilePath,
                                                  const Aws::Client::ClientConfiguration &clientConfig) {
    Aws::MedicalImaging::Model::GetImageSetMetadataRequest request;
    request.SetDatastoreId(dataStoreID);
    request.SetImageSetId(imageSetID);
    if (!versionID.empty()) {
        request.SetVersionId(versionID);
    }
    Aws::MedicalImaging::MedicalImagingClient client(clientConfig);
    Aws::MedicalImaging::Model::GetImageSetMetadataOutcome outcome = client.GetImageSetMetadata(
            request);
    if (outcome.IsSuccess()) {
        std::ofstream file(outputFilePath, std::ios::binary);
        auto &metadata = outcome.GetResult().GetImageSetMetadataBlob();
        file << metadata.rdbuf();
    }
    else {
        std::cerr << "Failed to get image set metadata: "
                  << outcome.GetError().GetMessage() << std::endl;
    }

    return outcome.IsSuccess();
}
```
Unduh, dekode, dan verifikasi bingkai gambar.  

```
bool AwsDoc::Medical_Imaging::downloadDecodeAndCheckImageFrames(
        const Aws::String &dataStoreID,
        const Aws::Vector<ImageFrameInfo> &imageFrames,
        const Aws::String &outDirectory,
        const Aws::Client::ClientConfiguration &clientConfiguration) {

    Aws::Client::ClientConfiguration clientConfiguration1(clientConfiguration);
    clientConfiguration1.executor = Aws::MakeShared<Aws::Utils::Threading::PooledThreadExecutor>(
            "executor", 25);
    Aws::MedicalImaging::MedicalImagingClient medicalImagingClient(
            clientConfiguration1);

    Aws::Utils::Threading::Semaphore semaphore(0, 1);
    std::atomic<size_t> count(imageFrames.size());

    bool result = true;
    for (auto &imageFrame: imageFrames) {
        Aws::MedicalImaging::Model::GetImageFrameRequest getImageFrameRequest;
        getImageFrameRequest.SetDatastoreId(dataStoreID);
        getImageFrameRequest.SetImageSetId(imageFrame.mImageSetId);

        Aws::MedicalImaging::Model::ImageFrameInformation imageFrameInformation;
        imageFrameInformation.SetImageFrameId(imageFrame.mImageFrameId);
        getImageFrameRequest.SetImageFrameInformation(imageFrameInformation);

        auto getImageFrameAsyncLambda = [&semaphore, &result, &count, imageFrame, outDirectory](
                const Aws::MedicalImaging::MedicalImagingClient *client,
                const Aws::MedicalImaging::Model::GetImageFrameRequest &request,
                Aws::MedicalImaging::Model::GetImageFrameOutcome outcome,
                const std::shared_ptr<const Aws::Client::AsyncCallerContext> &context) {

                if (!handleGetImageFrameResult(outcome, outDirectory, imageFrame)) {
                    std::cerr << "Failed to download and convert image frame: "
                              << imageFrame.mImageFrameId << " from image set: "
                              << imageFrame.mImageSetId << std::endl;
                    result = false;
                }

                count--;
                if (count <= 0) {

                    semaphore.ReleaseAll();
                }
        }; // End of 'getImageFrameAsyncLambda' lambda.

        medicalImagingClient.GetImageFrameAsync(getImageFrameRequest,
                                                getImageFrameAsyncLambda);
    }

    if (count > 0) {
        semaphore.WaitOne();
    }

    if (result) {
        std::cout << imageFrames.size() << " image files were downloaded."
                  << std::endl;
    }

    return result;
}

bool AwsDoc::Medical_Imaging::decodeJPHFileAndValidateWithChecksum(
        const Aws::String &jphFile,
        uint32_t crc32Checksum) {
    opj_image_t *outputImage = jphImageToOpjBitmap(jphFile);
    if (!outputImage) {
        return false;
    }

    bool result = true;
    if (!verifyChecksumForImage(outputImage, crc32Checksum)) {
        std::cerr << "The checksum for the image does not match the expected value."
                  << std::endl;
        std::cerr << "File :" << jphFile << std::endl;
        result = false;
    }

    opj_image_destroy(outputImage);

    return result;
}

opj_image *
AwsDoc::Medical_Imaging::jphImageToOpjBitmap(const Aws::String &jphFile) {
    opj_stream_t *inFileStream = nullptr;
    opj_codec_t *decompressorCodec = nullptr;
    opj_image_t *outputImage = nullptr;
    try {
        std::shared_ptr<opj_dparameters> decodeParameters = std::make_shared<opj_dparameters>();
        memset(decodeParameters.get(), 0, sizeof(opj_dparameters));

        opj_set_default_decoder_parameters(decodeParameters.get());

        decodeParameters->decod_format = 1; // JP2 image format.
        decodeParameters->cod_format = 2; // BMP image format.

        std::strncpy(decodeParameters->infile, jphFile.c_str(),
                     OPJ_PATH_LEN);

        inFileStream = opj_stream_create_default_file_stream(
                decodeParameters->infile, true);
        if (!inFileStream) {
            throw std::runtime_error(
                    "Unable to create input file stream for file '" + jphFile + "'.");
        }

        decompressorCodec = opj_create_decompress(OPJ_CODEC_JP2);
        if (!decompressorCodec) {
            throw std::runtime_error("Failed to create decompression codec.");
        }

        int decodeMessageLevel = 1;
        if (!setupCodecLogging(decompressorCodec, &decodeMessageLevel)) {
            std::cerr << "Failed to setup codec logging." << std::endl;
        }

        if (!opj_setup_decoder(decompressorCodec, decodeParameters.get())) {
            throw std::runtime_error("Failed to setup decompression codec.");
        }
        if (!opj_codec_set_threads(decompressorCodec, 4)) {
            throw std::runtime_error("Failed to set decompression codec threads.");
        }

        if (!opj_read_header(inFileStream, decompressorCodec, &outputImage)) {
            throw std::runtime_error("Failed to read header.");
        }

        if (!opj_decode(decompressorCodec, inFileStream,
                        outputImage)) {
            throw std::runtime_error("Failed to decode.");
        }

        if (DEBUGGING) {
            std::cout << "image width : " << outputImage->x1 - outputImage->x0
                      << std::endl;
            std::cout << "image height : " << outputImage->y1 - outputImage->y0
                      << std::endl;
            std::cout << "number of channels: " << outputImage->numcomps
                      << std::endl;
            std::cout << "colorspace : " << outputImage->color_space << std::endl;
        }

    } catch (const std::exception &e) {
        std::cerr << e.what() << std::endl;
        if (outputImage) {
            opj_image_destroy(outputImage);
            outputImage = nullptr;
        }
    }
    if (inFileStream) {
        opj_stream_destroy(inFileStream);
    }
    if (decompressorCodec) {
        opj_destroy_codec(decompressorCodec);
    }

    return outputImage;
}

//! Template function which converts a planar image bitmap to an interleaved image bitmap and
//! then verifies the checksum of the bitmap.
/*!
 * @param image: The OpenJPEG image struct.
 * @param crc32Checksum: The CRC32 checksum.
 * @return  bool: Function succeeded.
 */
template<class myType>
bool verifyChecksumForImageForType(opj_image_t *image, uint32_t crc32Checksum) {
    uint32_t width = image->x1 - image->x0;
    uint32_t height = image->y1 - image->y0;
    uint32_t numOfChannels = image->numcomps;

    // Buffer for interleaved bitmap.
    std::vector<myType> buffer(width * height * numOfChannels);

    // Convert planar bitmap to interleaved bitmap.
    for (uint32_t channel = 0; channel < numOfChannels; channel++) {
        for (uint32_t row = 0; row < height; row++) {
            uint32_t fromRowStart = row / image->comps[channel].dy * width /
                                    image->comps[channel].dx;
            uint32_t toIndex = (row * width) * numOfChannels + channel;

            for (uint32_t col = 0; col < width; col++) {
                uint32_t fromIndex = fromRowStart + col / image->comps[channel].dx;

                buffer[toIndex] = static_cast<myType>(image->comps[channel].data[fromIndex]);

                toIndex += numOfChannels;
            }
        }
    }

    // Verify checksum.
    boost::crc_32_type crc32;
    crc32.process_bytes(reinterpret_cast<char *>(buffer.data()),
                        buffer.size() * sizeof(myType));

    bool result = crc32.checksum() == crc32Checksum;
    if (!result) {
        std::cerr << "verifyChecksumForImage, checksum mismatch, expected - "
                  << crc32Checksum << ", actual - " << crc32.checksum()
                  << std::endl;
    }

    return result;
}

//! Routine which verifies the checksum of an OpenJPEG image struct.
/*!
 * @param image: The OpenJPEG image struct.
 * @param crc32Checksum: The CRC32 checksum.
 * @return  bool: Function succeeded.
 */
bool AwsDoc::Medical_Imaging::verifyChecksumForImage(opj_image_t *image,
                                                     uint32_t crc32Checksum) {
    uint32_t channels = image->numcomps;
    bool result = false;
    if (0 < channels) {
        // Assume the precision is the same for all channels.
        uint32_t precision = image->comps[0].prec;
        bool signedData = image->comps[0].sgnd;
        uint32_t bytes = (precision + 7) / 8;

        if (signedData) {
            switch (bytes) {
                case 1 :
                    result = verifyChecksumForImageForType<int8_t>(image,
                                                                   crc32Checksum);
                    break;
                case 2 :
                    result = verifyChecksumForImageForType<int16_t>(image,
                                                                    crc32Checksum);
                    break;
                case 4 :
                    result = verifyChecksumForImageForType<int32_t>(image,
                                                                    crc32Checksum);
                    break;
                default:
                    std::cerr
                            << "verifyChecksumForImage, unsupported data type, signed bytes - "
                            << bytes << std::endl;
                    break;
            }
        }
        else {
            switch (bytes) {
                case 1 :
                    result = verifyChecksumForImageForType<uint8_t>(image,
                                                                    crc32Checksum);
                    break;
                case 2 :
                    result = verifyChecksumForImageForType<uint16_t>(image,
                                                                     crc32Checksum);
                    break;
                case 4 :
                    result = verifyChecksumForImageForType<uint32_t>(image,
                                                                     crc32Checksum);
                    break;
                default:
                    std::cerr
                            << "verifyChecksumForImage, unsupported data type, unsigned bytes - "
                            << bytes << std::endl;
                    break;
            }
        }

        if (!result) {
            std::cerr << "verifyChecksumForImage, error bytes " << bytes
                      << " signed "
                      << signedData << std::endl;
        }
    }
    else {
        std::cerr << "'verifyChecksumForImage', no channels in the image."
                  << std::endl;
    }
    return result;
}
```
Pembersihan sumber daya   

```
bool AwsDoc::Medical_Imaging::cleanup(const Aws::String &stackName,
                                      const Aws::String &dataStoreId,
                                      const Aws::Client::ClientConfiguration &clientConfiguration) {
    bool result = true;

    if (!stackName.empty() && askYesNoQuestion(
            "Would you like to delete the stack " + stackName + "? (y/n)")) {
        std::cout << "Deleting the image sets in the stack." << std::endl;
        result &= emptyDatastore(dataStoreId, clientConfiguration);
        printAsterisksLine();
        std::cout << "Deleting the stack." << std::endl;
        result &= deleteStack(stackName, clientConfiguration);
    }
    return result;
}

bool AwsDoc::Medical_Imaging::emptyDatastore(const Aws::String &datastoreID,
                                             const Aws::Client::ClientConfiguration &clientConfiguration) {

    Aws::MedicalImaging::Model::SearchCriteria emptyCriteria;
    Aws::Vector<Aws::String> imageSetIDs;
    bool result = false;
    if (searchImageSets(datastoreID, emptyCriteria, imageSetIDs,
                        clientConfiguration)) {
        result = true;
        for (auto &imageSetID: imageSetIDs) {
            result &= deleteImageSet(datastoreID, imageSetID, clientConfiguration);
        }
    }

    return result;
}
```
+ Untuk detail API, lihat topik berikut di *Referensi API AWS SDK untuk C\$1\$1 *.
  + [DeleteImageSet](https://docs.aws.amazon.com/goto/SdkForCpp/medical-imaging-2023-07-19/DeleteImageSet)
  + [Dapatkan DICOMImport Job](https://docs.aws.amazon.com/goto/SdkForCpp/medical-imaging-2023-07-19/GetDICOMImportJob)
  + [GetImageFrame](https://docs.aws.amazon.com/goto/SdkForCpp/medical-imaging-2023-07-19/GetImageFrame)
  + [GetImageSetMetadata](https://docs.aws.amazon.com/goto/SdkForCpp/medical-imaging-2023-07-19/GetImageSetMetadata)
  + [SearchImageSets](https://docs.aws.amazon.com/goto/SdkForCpp/medical-imaging-2023-07-19/SearchImageSets)
  + [Mulai DICOMImport Job](https://docs.aws.amazon.com/goto/SdkForCpp/medical-imaging-2023-07-19/StartDICOMImportJob)
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/cpp/example_code/medical-imaging/imaging_set_and_frames_workflow#code-examples). 

------
#### [ JavaScript ]

**SDK untuk JavaScript (v3)**  
Mengatur langkah (). index.js  

```
import {
  parseScenarioArgs,
  Scenario,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";
import {
  saveState,
  loadState,
} from "@aws-doc-sdk-examples/lib/scenario/steps-common.js";

import {
  createStack,
  deployStack,
  getAccountId,
  getDatastoreName,
  getStackName,
  outputState,
  waitForStackCreation,
} from "./deploy-steps.js";
import {
  doCopy,
  selectDataset,
  copyDataset,
  outputCopiedObjects,
} from "./dataset-steps.js";
import {
  doImport,
  outputImportJobStatus,
  startDICOMImport,
  waitForImportJobCompletion,
} from "./import-steps.js";
import {
  getManifestFile,
  outputImageSetIds,
  parseManifestFile,
} from "./image-set-steps.js";
import {
  getImageSetMetadata,
  outputImageFrameIds,
} from "./image-frame-steps.js";
import { decodeAndVerifyImages, doVerify } from "./verify-steps.js";
import {
  confirmCleanup,
  deleteImageSets,
  deleteStack,
} from "./clean-up-steps.js";

const context = {};

const scenarios = {
  deploy: new Scenario(
    "Deploy Resources",
    [
      deployStack,
      getStackName,
      getDatastoreName,
      getAccountId,
      createStack,
      waitForStackCreation,
      outputState,
      saveState,
    ],
    context,
  ),
  demo: new Scenario(
    "Run Demo",
    [
      loadState,
      doCopy,
      selectDataset,
      copyDataset,
      outputCopiedObjects,
      doImport,
      startDICOMImport,
      waitForImportJobCompletion,
      outputImportJobStatus,
      getManifestFile,
      parseManifestFile,
      outputImageSetIds,
      getImageSetMetadata,
      outputImageFrameIds,
      doVerify,
      decodeAndVerifyImages,
      saveState,
    ],
    context,
  ),
  destroy: new Scenario(
    "Clean Up Resources",
    [loadState, confirmCleanup, deleteImageSets, deleteStack],
    context,
  ),
};

// Call function if run directly
import { fileURLToPath } from "node:url";
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  parseScenarioArgs(scenarios, {
    name: "Health Imaging Workflow",
    description:
      "Work with DICOM images using an AWS Health Imaging data store.",
    synopsis:
      "node index.js --scenario <deploy | demo | destroy> [-h|--help] [-y|--yes] [-v|--verbose]",
  });
}
```
Menyebarkan sumber daya (deploy-steps.js).  

```
import fs from "node:fs/promises";
import path from "node:path";

import {
  CloudFormationClient,
  CreateStackCommand,
  DescribeStacksCommand,
} from "@aws-sdk/client-cloudformation";
import { STSClient, GetCallerIdentityCommand } from "@aws-sdk/client-sts";

import {
  ScenarioAction,
  ScenarioInput,
  ScenarioOutput,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";
import { retry } from "@aws-doc-sdk-examples/lib/utils/util-timers.js";

const cfnClient = new CloudFormationClient({});
const stsClient = new STSClient({});

const __dirname = path.dirname(new URL(import.meta.url).pathname);
const cfnTemplatePath = path.join(
  __dirname,
  "../../../../../scenarios/features/healthimaging_image_sets/resources/cfn_template.yaml",
);

export const deployStack = new ScenarioInput(
  "deployStack",
  "Do you want to deploy the CloudFormation stack?",
  { type: "confirm" },
);

export const getStackName = new ScenarioInput(
  "getStackName",
  "Enter a name for the CloudFormation stack:",
  { type: "input", skipWhen: (/** @type {{}} */ state) => !state.deployStack },
);

export const getDatastoreName = new ScenarioInput(
  "getDatastoreName",
  "Enter a name for the HealthImaging datastore:",
  { type: "input", skipWhen: (/** @type {{}} */ state) => !state.deployStack },
);

export const getAccountId = new ScenarioAction(
  "getAccountId",
  async (/** @type {{}} */ state) => {
    const command = new GetCallerIdentityCommand({});
    const response = await stsClient.send(command);
    state.accountId = response.Account;
  },
  {
    skipWhen: (/** @type {{}} */ state) => !state.deployStack,
  },
);

export const createStack = new ScenarioAction(
  "createStack",
  async (/** @type {{}} */ state) => {
    const stackName = state.getStackName;
    const datastoreName = state.getDatastoreName;
    const accountId = state.accountId;

    const command = new CreateStackCommand({
      StackName: stackName,
      TemplateBody: await fs.readFile(cfnTemplatePath, "utf8"),
      Capabilities: ["CAPABILITY_IAM"],
      Parameters: [
        {
          ParameterKey: "datastoreName",
          ParameterValue: datastoreName,
        },
        {
          ParameterKey: "userAccountID",
          ParameterValue: accountId,
        },
      ],
    });

    const response = await cfnClient.send(command);
    state.stackId = response.StackId;
  },
  { skipWhen: (/** @type {{}} */ state) => !state.deployStack },
);

export const waitForStackCreation = new ScenarioAction(
  "waitForStackCreation",
  async (/** @type {{}} */ state) => {
    const command = new DescribeStacksCommand({
      StackName: state.stackId,
    });

    await retry({ intervalInMs: 10000, maxRetries: 60 }, async () => {
      const response = await cfnClient.send(command);
      const stack = response.Stacks?.find(
        (s) => s.StackName === state.getStackName,
      );
      if (!stack || stack.StackStatus === "CREATE_IN_PROGRESS") {
        throw new Error("Stack creation is still in progress");
      }
      if (stack.StackStatus === "CREATE_COMPLETE") {
        state.stackOutputs = stack.Outputs?.reduce((acc, output) => {
          acc[output.OutputKey] = output.OutputValue;
          return acc;
        }, {});
      } else {
        throw new Error(
          `Stack creation failed with status: ${stack.StackStatus}`,
        );
      }
    });
  },
  {
    skipWhen: (/** @type {{}} */ state) => !state.deployStack,
  },
);

export const outputState = new ScenarioOutput(
  "outputState",
  (/** @type {{}} */ state) => {
    /**
     * @type {{ stackOutputs: { DatastoreID: string, BucketName: string, RoleArn: string }}}
     */
    const { stackOutputs } = state;
    return `Stack creation completed. Output values:
Datastore ID: ${stackOutputs?.DatastoreID}
Bucket Name: ${stackOutputs?.BucketName}
Role ARN: ${stackOutputs?.RoleArn}
    `;
  },
  { skipWhen: (/** @type {{}} */ state) => !state.deployStack },
);
```
Salin file DICOM (dataset-steps.js).  

```
import {
  S3Client,
  CopyObjectCommand,
  ListObjectsV2Command,
} from "@aws-sdk/client-s3";

import {
  ScenarioAction,
  ScenarioInput,
  ScenarioOutput,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";

const s3Client = new S3Client({});

const datasetOptions = [
  {
    name: "CT of chest (2 images)",
    value: "00029d25-fb18-4d42-aaa5-a0897d1ac8f7",
  },
  {
    name: "CT of pelvis (57 images)",
    value: "00025d30-ef8f-4135-a35a-d83eff264fc1",
  },
  {
    name: "MRI of head (192 images)",
    value: "0002d261-8a5d-4e63-8e2e-0cbfac87b904",
  },
  {
    name: "MRI of breast (92 images)",
    value: "0002dd07-0b7f-4a68-a655-44461ca34096",
  },
];

/**
 * @typedef {{ stackOutputs: {
 *   BucketName: string,
 *   DatastoreID: string,
 *   doCopy: boolean
 * }}} State
 */

export const selectDataset = new ScenarioInput(
  "selectDataset",
  (state) => {
    if (!state.doCopy) {
      process.exit(0);
    }
    return "Select a DICOM dataset to import:";
  },
  {
    type: "select",
    choices: datasetOptions,
  },
);

export const doCopy = new ScenarioInput(
  "doCopy",
  "Do you want to copy images from the public dataset into your bucket?",
  {
    type: "confirm",
  },
);

export const copyDataset = new ScenarioAction(
  "copyDataset",
  async (/** @type { State } */ state) => {
    const inputBucket = state.stackOutputs.BucketName;
    const inputPrefix = "input/";
    const selectedDatasetId = state.selectDataset;

    const sourceBucket = "idc-open-data";
    const sourcePrefix = `${selectedDatasetId}`;

    const listObjectsCommand = new ListObjectsV2Command({
      Bucket: sourceBucket,
      Prefix: sourcePrefix,
    });

    const objects = await s3Client.send(listObjectsCommand);

    const copyPromises = objects.Contents.map((object) => {
      const sourceKey = object.Key;
      const destinationKey = `${inputPrefix}${sourceKey
        .split("/")
        .slice(1)
        .join("/")}`;

      const copyCommand = new CopyObjectCommand({
        Bucket: inputBucket,
        CopySource: `/${sourceBucket}/${sourceKey}`,
        Key: destinationKey,
      });

      return s3Client.send(copyCommand);
    });

    const results = await Promise.all(copyPromises);
    state.copiedObjects = results.length;
  },
);

export const outputCopiedObjects = new ScenarioOutput(
  "outputCopiedObjects",
  (state) => `${state.copiedObjects} DICOM files were copied.`,
);
```
Mulai impor ke datastore ()import-steps.js.  

```
import {
  MedicalImagingClient,
  StartDICOMImportJobCommand,
  GetDICOMImportJobCommand,
} from "@aws-sdk/client-medical-imaging";

import {
  ScenarioAction,
  ScenarioOutput,
  ScenarioInput,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";
import { retry } from "@aws-doc-sdk-examples/lib/utils/util-timers.js";

/**
 * @typedef {{ stackOutputs: {
 *   BucketName: string,
 *   DatastoreID: string,
 *   RoleArn: string
 * }}} State
 */

export const doImport = new ScenarioInput(
  "doImport",
  "Do you want to import DICOM images into your datastore?",
  {
    type: "confirm",
    default: true,
  },
);

export const startDICOMImport = new ScenarioAction(
  "startDICOMImport",
  async (/** @type {State} */ state) => {
    if (!state.doImport) {
      process.exit(0);
    }
    const medicalImagingClient = new MedicalImagingClient({});
    const inputS3Uri = `s3://${state.stackOutputs.BucketName}/input/`;
    const outputS3Uri = `s3://${state.stackOutputs.BucketName}/output/`;

    const command = new StartDICOMImportJobCommand({
      dataAccessRoleArn: state.stackOutputs.RoleArn,
      datastoreId: state.stackOutputs.DatastoreID,
      inputS3Uri,
      outputS3Uri,
    });

    const response = await medicalImagingClient.send(command);
    state.importJobId = response.jobId;
  },
);

export const waitForImportJobCompletion = new ScenarioAction(
  "waitForImportJobCompletion",
  async (/** @type {State} */ state) => {
    const medicalImagingClient = new MedicalImagingClient({});
    const command = new GetDICOMImportJobCommand({
      datastoreId: state.stackOutputs.DatastoreID,
      jobId: state.importJobId,
    });

    await retry({ intervalInMs: 10000, maxRetries: 60 }, async () => {
      const response = await medicalImagingClient.send(command);
      const jobStatus = response.jobProperties?.jobStatus;
      if (!jobStatus || jobStatus === "IN_PROGRESS") {
        throw new Error("Import job is still in progress");
      }
      if (jobStatus === "COMPLETED") {
        state.importJobOutputS3Uri = response.jobProperties.outputS3Uri;
      } else {
        throw new Error(`Import job failed with status: ${jobStatus}`);
      }
    });
  },
);

export const outputImportJobStatus = new ScenarioOutput(
  "outputImportJobStatus",
  (state) =>
    `DICOM import job completed. Output location: ${state.importJobOutputS3Uri}`,
);
```
Dapatkan set gambar IDs (image-set-steps.js-).  

```
import { S3Client, GetObjectCommand } from "@aws-sdk/client-s3";

import {
  ScenarioAction,
  ScenarioOutput,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";

/**
 * @typedef {{ stackOutputs: {
 *   BucketName: string,
 *   DatastoreID: string,
 *   RoleArn: string
 * }, importJobId: string,
 * importJobOutputS3Uri: string,
 * imageSetIds: string[],
 * manifestContent: { jobSummary: { imageSetsSummary: { imageSetId: string }[] } }
 * }} State
 */

const s3Client = new S3Client({});

export const getManifestFile = new ScenarioAction(
  "getManifestFile",
  async (/** @type {State} */ state) => {
    const bucket = state.stackOutputs.BucketName;
    const prefix = `output/${state.stackOutputs.DatastoreID}-DicomImport-${state.importJobId}/`;
    const key = `${prefix}job-output-manifest.json`;

    const command = new GetObjectCommand({
      Bucket: bucket,
      Key: key,
    });

    const response = await s3Client.send(command);
    const manifestContent = await response.Body.transformToString();
    state.manifestContent = JSON.parse(manifestContent);
  },
);

export const parseManifestFile = new ScenarioAction(
  "parseManifestFile",
  (/** @type {State} */ state) => {
    const imageSetIds =
      state.manifestContent.jobSummary.imageSetsSummary.reduce((ids, next) => {
        return Object.assign({}, ids, {
          [next.imageSetId]: next.imageSetId,
        });
      }, {});
    state.imageSetIds = Object.keys(imageSetIds);
  },
);

export const outputImageSetIds = new ScenarioOutput(
  "outputImageSetIds",
  (/** @type {State} */ state) =>
    `The image sets created by this import job are: \n${state.imageSetIds
      .map((id) => `Image set: ${id}`)
      .join("\n")}`,
);
```
Dapatkan bingkai gambar IDs (image-frame-steps.js).  

```
import {
  MedicalImagingClient,
  GetImageSetMetadataCommand,
} from "@aws-sdk/client-medical-imaging";
import { gunzip } from "node:zlib";
import { promisify } from "node:util";

import {
  ScenarioAction,
  ScenarioOutput,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";

const gunzipAsync = promisify(gunzip);

/**
 * @typedef {Object} DICOMValueRepresentation
 * @property {string} name
 * @property {string} type
 * @property {string} value
 */

/**
 * @typedef {Object} ImageFrameInformation
 * @property {string} ID
 * @property {Array<{ Checksum: number, Height: number, Width: number }>} PixelDataChecksumFromBaseToFullResolution
 * @property {number} MinPixelValue
 * @property {number} MaxPixelValue
 * @property {number} FrameSizeInBytes
 */

/**
 * @typedef {Object} DICOMMetadata
 * @property {Object} DICOM
 * @property {DICOMValueRepresentation[]} DICOMVRs
 * @property {ImageFrameInformation[]} ImageFrames
 */

/**
 * @typedef {Object} Series
 * @property {{ [key: string]: DICOMMetadata }} Instances
 */

/**
 * @typedef {Object} Study
 * @property {Object} DICOM
 * @property {Series[]} Series
 */

/**
 * @typedef {Object} Patient
 * @property {Object} DICOM
 */

/**
 * @typedef {{
 *  SchemaVersion: string,
 *  DatastoreID: string,
 *  ImageSetID: string,
 *  Patient: Patient,
 *  Study: Study
 * }} ImageSetMetadata
 */

/**
 * @typedef {{ stackOutputs: {
 *   BucketName: string,
 *   DatastoreID: string,
 *   RoleArn: string
 * }, imageSetIds: string[] }} State
 */

const medicalImagingClient = new MedicalImagingClient({});

export const getImageSetMetadata = new ScenarioAction(
  "getImageSetMetadata",
  async (/** @type {State} */ state) => {
    const outputMetadata = [];

    for (const imageSetId of state.imageSetIds) {
      const command = new GetImageSetMetadataCommand({
        datastoreId: state.stackOutputs.DatastoreID,
        imageSetId,
      });

      const response = await medicalImagingClient.send(command);
      const compressedMetadataBlob =
        await response.imageSetMetadataBlob.transformToByteArray();
      const decompressedMetadata = await gunzipAsync(compressedMetadataBlob);
      const imageSetMetadata = JSON.parse(decompressedMetadata.toString());

      outputMetadata.push(imageSetMetadata);
    }

    state.imageSetMetadata = outputMetadata;
  },
);

export const outputImageFrameIds = new ScenarioOutput(
  "outputImageFrameIds",
  (/** @type {State & { imageSetMetadata: ImageSetMetadata[] }} */ state) => {
    let output = "";

    for (const metadata of state.imageSetMetadata) {
      const imageSetId = metadata.ImageSetID;
      /** @type {DICOMMetadata[]} */
      const instances = Object.values(metadata.Study.Series).flatMap(
        (series) => {
          return Object.values(series.Instances);
        },
      );
      const imageFrameIds = instances.flatMap((instance) =>
        instance.ImageFrames.map((frame) => frame.ID),
      );

      output += `Image set ID: ${imageSetId}\nImage frame IDs:\n${imageFrameIds.join(
        "\n",
      )}\n\n`;
    }

    return output;
  },
);
```
Verifikasi bingkai gambar (verify-steps.js). Pustaka [Verifikasi Data AWS HealthImaging Pixel](https://github.com/aws-samples/aws-healthimaging-samples/tree/main/pixel-data-verification) digunakan untuk verifikasi.  

```
import { spawn } from "node:child_process";

import {
  ScenarioAction,
  ScenarioInput,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";

/**
 * @typedef {Object} DICOMValueRepresentation
 * @property {string} name
 * @property {string} type
 * @property {string} value
 */

/**
 * @typedef {Object} ImageFrameInformation
 * @property {string} ID
 * @property {Array<{ Checksum: number, Height: number, Width: number }>} PixelDataChecksumFromBaseToFullResolution
 * @property {number} MinPixelValue
 * @property {number} MaxPixelValue
 * @property {number} FrameSizeInBytes
 */

/**
 * @typedef {Object} DICOMMetadata
 * @property {Object} DICOM
 * @property {DICOMValueRepresentation[]} DICOMVRs
 * @property {ImageFrameInformation[]} ImageFrames
 */

/**
 * @typedef {Object} Series
 * @property {{ [key: string]: DICOMMetadata }} Instances
 */

/**
 * @typedef {Object} Study
 * @property {Object} DICOM
 * @property {Series[]} Series
 */

/**
 * @typedef {Object} Patient
 * @property {Object} DICOM
 */

/**
 * @typedef {{
 *  SchemaVersion: string,
 *  DatastoreID: string,
 *  ImageSetID: string,
 *  Patient: Patient,
 *  Study: Study
 * }} ImageSetMetadata
 */

/**
 * @typedef {{ stackOutputs: {
 *   BucketName: string,
 *   DatastoreID: string,
 *   RoleArn: string
 * }, imageSetMetadata: ImageSetMetadata[] }} State
 */

export const doVerify = new ScenarioInput(
  "doVerify",
  "Do you want to verify the imported images?",
  {
    type: "confirm",
    default: true,
  },
);

export const decodeAndVerifyImages = new ScenarioAction(
  "decodeAndVerifyImages",
  async (/** @type {State} */ state) => {
    if (!state.doVerify) {
      process.exit(0);
    }
    const verificationTool = "./pixel-data-verification/index.js";

    for (const metadata of state.imageSetMetadata) {
      const datastoreId = state.stackOutputs.DatastoreID;
      const imageSetId = metadata.ImageSetID;

      for (const [seriesInstanceUid, series] of Object.entries(
        metadata.Study.Series,
      )) {
        for (const [sopInstanceUid, _] of Object.entries(series.Instances)) {
          console.log(
            `Verifying image set ${imageSetId} with series ${seriesInstanceUid} and sop ${sopInstanceUid}`,
          );
          const child = spawn(
            "node",
            [
              verificationTool,
              datastoreId,
              imageSetId,
              seriesInstanceUid,
              sopInstanceUid,
            ],
            { stdio: "inherit" },
          );

          await new Promise((resolve, reject) => {
            child.on("exit", (code) => {
              if (code === 0) {
                resolve();
              } else {
                reject(
                  new Error(
                    `Verification tool exited with code ${code} for image set ${imageSetId}`,
                  ),
                );
              }
            });
          });
        }
      }
    }
  },
);
```
Hancurkan sumber daya (clean-up-steps.js).  

```
import {
  CloudFormationClient,
  DeleteStackCommand,
} from "@aws-sdk/client-cloudformation";
import {
  MedicalImagingClient,
  DeleteImageSetCommand,
} from "@aws-sdk/client-medical-imaging";

import {
  ScenarioAction,
  ScenarioInput,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";

/**
 * @typedef {Object} DICOMValueRepresentation
 * @property {string} name
 * @property {string} type
 * @property {string} value
 */

/**
 * @typedef {Object} ImageFrameInformation
 * @property {string} ID
 * @property {Array<{ Checksum: number, Height: number, Width: number }>} PixelDataChecksumFromBaseToFullResolution
 * @property {number} MinPixelValue
 * @property {number} MaxPixelValue
 * @property {number} FrameSizeInBytes
 */

/**
 * @typedef {Object} DICOMMetadata
 * @property {Object} DICOM
 * @property {DICOMValueRepresentation[]} DICOMVRs
 * @property {ImageFrameInformation[]} ImageFrames
 */

/**
 * @typedef {Object} Series
 * @property {{ [key: string]: DICOMMetadata }} Instances
 */

/**
 * @typedef {Object} Study
 * @property {Object} DICOM
 * @property {Series[]} Series
 */

/**
 * @typedef {Object} Patient
 * @property {Object} DICOM
 */

/**
 * @typedef {{
 *  SchemaVersion: string,
 *  DatastoreID: string,
 *  ImageSetID: string,
 *  Patient: Patient,
 *  Study: Study
 * }} ImageSetMetadata
 */

/**
 * @typedef {{ stackOutputs: {
 *   BucketName: string,
 *   DatastoreID: string,
 *   RoleArn: string
 * }, imageSetMetadata: ImageSetMetadata[] }} State
 */

const cfnClient = new CloudFormationClient({});
const medicalImagingClient = new MedicalImagingClient({});

export const confirmCleanup = new ScenarioInput(
  "confirmCleanup",
  "Do you want to delete the created resources?",
  { type: "confirm" },
);

export const deleteImageSets = new ScenarioAction(
  "deleteImageSets",
  async (/** @type {State} */ state) => {
    const datastoreId = state.stackOutputs.DatastoreID;

    for (const metadata of state.imageSetMetadata) {
      const command = new DeleteImageSetCommand({
        datastoreId,
        imageSetId: metadata.ImageSetID,
      });

      try {
        await medicalImagingClient.send(command);
        console.log(`Successfully deleted image set ${metadata.ImageSetID}`);
      } catch (e) {
        if (e instanceof Error) {
          if (e.name === "ConflictException") {
            console.log(`Image set ${metadata.ImageSetID} already deleted`);
          }
        }
      }
    }
  },
  {
    skipWhen: (/** @type {{}} */ state) => !state.confirmCleanup,
  },
);

export const deleteStack = new ScenarioAction(
  "deleteStack",
  async (/** @type {State} */ state) => {
    const stackName = state.getStackName;

    const command = new DeleteStackCommand({
      StackName: stackName,
    });

    await cfnClient.send(command);
    console.log(`Stack ${stackName} deletion initiated`);
  },
  {
    skipWhen: (/** @type {{}} */ state) => !state.confirmCleanup,
  },
);
```
+ Untuk detail API, lihat topik berikut di *Referensi API AWS SDK untuk JavaScript *.
  + [DeleteImageSet](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/DeleteImageSetCommand)
  + [Dapatkan DICOMImport Job](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/GetDICOMImportJobCommand)
  + [GetImageFrame](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/GetImageFrameCommand)
  + [GetImageSetMetadata](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/GetImageSetMetadataCommand)
  + [SearchImageSets](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/SearchImageSetsCommand)
  + [Mulai DICOMImport Job](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/StartDICOMImportJobCommand)
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples). 

------
#### [ Python ]

**SDK untuk Python (Boto3)**  
Buat CloudFormation tumpukan dengan sumber daya yang diperlukan.  

```
    def deploy(self):
        """
        Deploys prerequisite resources used by the scenario. The resources are
        defined in the associated `setup.yaml` AWS CloudFormation script and are deployed
        as a CloudFormation stack, so they can be easily managed and destroyed.
        """

        print("\t\tLet's deploy the stack for resource creation.")
        stack_name = q.ask("\t\tEnter a name for the stack: ", q.non_empty)

        data_store_name = q.ask(
            "\t\tEnter a name for the Health Imaging Data Store: ", q.non_empty
        )

        account_id = boto3.client("sts").get_caller_identity()["Account"]

        with open(
            "../../../../scenarios/features/healthimaging_image_sets/resources/cfn_template.yaml"
        ) as setup_file:
            setup_template = setup_file.read()
        print(f"\t\tCreating {stack_name}.")
        stack = self.cf_resource.create_stack(
            StackName=stack_name,
            TemplateBody=setup_template,
            Capabilities=["CAPABILITY_NAMED_IAM"],
            Parameters=[
                {
                    "ParameterKey": "datastoreName",
                    "ParameterValue": data_store_name,
                },
                {
                    "ParameterKey": "userAccountID",
                    "ParameterValue": account_id,
                },
            ],
        )
        print("\t\tWaiting for stack to deploy. This typically takes a minute or two.")
        waiter = self.cf_resource.meta.client.get_waiter("stack_create_complete")
        waiter.wait(StackName=stack.name)
        stack.load()
        print(f"\t\tStack status: {stack.stack_status}")

        outputs_dictionary = {
            output["OutputKey"]: output["OutputValue"] for output in stack.outputs
        }
        self.input_bucket_name = outputs_dictionary["BucketName"]
        self.output_bucket_name = outputs_dictionary["BucketName"]
        self.role_arn = outputs_dictionary["RoleArn"]
        self.data_store_id = outputs_dictionary["DatastoreID"]
        return stack
```
Salin file DICOM ke bucket impor Amazon S3.  

```
    def copy_single_object(self, key, source_bucket, target_bucket, target_directory):
        """
        Copies a single object from a source to a target bucket.

        :param key: The key of the object to copy.
        :param source_bucket: The source bucket for the copy.
        :param target_bucket: The target bucket for the copy.
        :param target_directory: The target directory for the copy.
        """
        new_key = target_directory + "/" + key
        copy_source = {"Bucket": source_bucket, "Key": key}
        self.s3_client.copy_object(
            CopySource=copy_source, Bucket=target_bucket, Key=new_key
        )
        print(f"\n\t\tCopying {key}.")

    def copy_images(
        self, source_bucket, source_directory, target_bucket, target_directory
    ):
        """
        Copies the images from the source to the target bucket using multiple threads.

        :param source_bucket: The source bucket for the images.
        :param source_directory: Directory within the source bucket.
        :param target_bucket: The target bucket for the images.
        :param target_directory: Directory within the target bucket.
        """

        # Get list of all objects in source bucket.
        list_response = self.s3_client.list_objects_v2(
            Bucket=source_bucket, Prefix=source_directory
        )
        objs = list_response["Contents"]
        keys = [obj["Key"] for obj in objs]

        # Copy the objects in the bucket.
        for key in keys:
            self.copy_single_object(key, source_bucket, target_bucket, target_directory)

        print("\t\tDone copying all objects.")
```
Impor file DICOM ke penyimpanan data Amazon S3.  

```
class MedicalImagingWrapper:
    """Encapsulates AWS HealthImaging functionality."""

    def __init__(self, medical_imaging_client, s3_client):
        """
        :param medical_imaging_client: A Boto3 Amazon MedicalImaging client.
        :param s3_client: A Boto3 S3 client.
        """
        self.medical_imaging_client = medical_imaging_client
        self.s3_client = s3_client

    @classmethod
    def from_client(cls):
        medical_imaging_client = boto3.client("medical-imaging")
        s3_client = boto3.client("s3")
        return cls(medical_imaging_client, s3_client)


    def start_dicom_import_job(
        self,
        data_store_id,
        input_bucket_name,
        input_directory,
        output_bucket_name,
        output_directory,
        role_arn,
    ):
        """
        Routine which starts a HealthImaging import job.

        :param data_store_id: The HealthImaging data store ID.
        :param input_bucket_name: The name of the Amazon S3 bucket containing the DICOM files.
        :param input_directory: The directory in the S3 bucket containing the DICOM files.
        :param output_bucket_name: The name of the S3 bucket for the output.
        :param output_directory: The directory in the S3 bucket to store the output.
        :param role_arn: The ARN of the IAM role with permissions for the import.
        :return: The job ID of the import.
        """

        input_uri = f"s3://{input_bucket_name}/{input_directory}/"
        output_uri = f"s3://{output_bucket_name}/{output_directory}/"
        try:
            job = self.medical_imaging_client.start_dicom_import_job(
                jobName="examplejob",
                datastoreId=data_store_id,
                dataAccessRoleArn=role_arn,
                inputS3Uri=input_uri,
                outputS3Uri=output_uri,
            )
        except ClientError as err:
            logger.error(
                "Couldn't start DICOM import job. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return job["jobId"]
```
Dapatkan set gambar yang dibuat oleh pekerjaan impor DICOM.  

```
class MedicalImagingWrapper:
    """Encapsulates AWS HealthImaging functionality."""

    def __init__(self, medical_imaging_client, s3_client):
        """
        :param medical_imaging_client: A Boto3 Amazon MedicalImaging client.
        :param s3_client: A Boto3 S3 client.
        """
        self.medical_imaging_client = medical_imaging_client
        self.s3_client = s3_client

    @classmethod
    def from_client(cls):
        medical_imaging_client = boto3.client("medical-imaging")
        s3_client = boto3.client("s3")
        return cls(medical_imaging_client, s3_client)


    def get_image_sets_for_dicom_import_job(self, datastore_id, import_job_id):
        """
        Retrieves the image sets created for an import job.

        :param datastore_id: The HealthImaging data store ID
        :param import_job_id: The import job ID
        :return: List of image set IDs
        """

        import_job = self.medical_imaging_client.get_dicom_import_job(
            datastoreId=datastore_id, jobId=import_job_id
        )

        output_uri = import_job["jobProperties"]["outputS3Uri"]

        bucket = output_uri.split("/")[2]
        key = "/".join(output_uri.split("/")[3:])

        # Try to get the manifest.
        retries = 3
        while retries > 0:
            try:
                obj = self.s3_client.get_object(
                    Bucket=bucket, Key=key + "job-output-manifest.json"
                )
                body = obj["Body"]
                break
            except ClientError as error:
                retries = retries - 1
                time.sleep(3)
        try:
            data = json.load(body)
            expression = jmespath.compile("jobSummary.imageSetsSummary[].imageSetId")
            image_sets = expression.search(data)
        except json.decoder.JSONDecodeError as error:
            image_sets = import_job["jobProperties"]

        return image_sets


    def get_image_set(self, datastore_id, image_set_id, version_id=None):
        """
        Get the properties of an image set.

        :param datastore_id: The ID of the data store.
        :param image_set_id: The ID of the image set.
        :param version_id: The optional version of the image set.
        :return: The image set properties.
        """
        try:
            if version_id:
                image_set = self.medical_imaging_client.get_image_set(
                    imageSetId=image_set_id,
                    datastoreId=datastore_id,
                    versionId=version_id,
                )
            else:
                image_set = self.medical_imaging_client.get_image_set(
                    imageSetId=image_set_id, datastoreId=datastore_id
                )
        except ClientError as err:
            logger.error(
                "Couldn't get image set. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return image_set
```
Dapatkan informasi bingkai gambar untuk set gambar.  

```
class MedicalImagingWrapper:
    """Encapsulates AWS HealthImaging functionality."""

    def __init__(self, medical_imaging_client, s3_client):
        """
        :param medical_imaging_client: A Boto3 Amazon MedicalImaging client.
        :param s3_client: A Boto3 S3 client.
        """
        self.medical_imaging_client = medical_imaging_client
        self.s3_client = s3_client

    @classmethod
    def from_client(cls):
        medical_imaging_client = boto3.client("medical-imaging")
        s3_client = boto3.client("s3")
        return cls(medical_imaging_client, s3_client)


    def get_image_frames_for_image_set(self, datastore_id, image_set_id, out_directory):
        """
        Get the image frames for an image set.

        :param datastore_id: The ID of the data store.
        :param image_set_id: The ID of the image set.
        :param out_directory: The directory to save the file.
        :return: The image frames.
        """
        image_frames = []
        file_name = os.path.join(out_directory, f"{image_set_id}_metadata.json.gzip")
        file_name = file_name.replace("/", "\\\\")
        self.get_image_set_metadata(file_name, datastore_id, image_set_id)
        try:
            with gzip.open(file_name, "rb") as f_in:
                doc = json.load(f_in)
            instances = jmespath.search("Study.Series.*.Instances[].*[]", doc)
            for instance in instances:
                rescale_slope = jmespath.search("DICOM.RescaleSlope", instance)
                rescale_intercept = jmespath.search("DICOM.RescaleIntercept", instance)
                image_frames_json = jmespath.search("ImageFrames[][]", instance)
                for image_frame in image_frames_json:
                    checksum_json = jmespath.search(
                        "max_by(PixelDataChecksumFromBaseToFullResolution, &Width)",
                        image_frame,
                    )
                    image_frame_info = {
                        "imageSetId": image_set_id,
                        "imageFrameId": image_frame["ID"],
                        "rescaleIntercept": rescale_intercept,
                        "rescaleSlope": rescale_slope,
                        "minPixelValue": image_frame["MinPixelValue"],
                        "maxPixelValue": image_frame["MaxPixelValue"],
                        "fullResolutionChecksum": checksum_json["Checksum"],
                    }
                    image_frames.append(image_frame_info)
            return image_frames
        except TypeError:
            return {}
        except ClientError as err:
            logger.error(
                "Couldn't get image frames for image set. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        return image_frames


    def get_image_set_metadata(
        self, metadata_file, datastore_id, image_set_id, version_id=None
    ):
        """
        Get the metadata of an image set.

        :param metadata_file: The file to store the JSON gzipped metadata.
        :param datastore_id: The ID of the data store.
        :param image_set_id: The ID of the image set.
        :param version_id: The version of the image set.
        """

        try:
            if version_id:
                image_set_metadata = self.medical_imaging_client.get_image_set_metadata(
                    imageSetId=image_set_id,
                    datastoreId=datastore_id,
                    versionId=version_id,
                )
            else:
                image_set_metadata = self.medical_imaging_client.get_image_set_metadata(
                    imageSetId=image_set_id, datastoreId=datastore_id
                )
            with open(metadata_file, "wb") as f:
                for chunk in image_set_metadata["imageSetMetadataBlob"].iter_chunks():
                    if chunk:
                        f.write(chunk)

        except ClientError as err:
            logger.error(
                "Couldn't get image metadata. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
```
Unduh, dekode, dan verifikasi bingkai gambar.  

```
class MedicalImagingWrapper:
    """Encapsulates AWS HealthImaging functionality."""

    def __init__(self, medical_imaging_client, s3_client):
        """
        :param medical_imaging_client: A Boto3 Amazon MedicalImaging client.
        :param s3_client: A Boto3 S3 client.
        """
        self.medical_imaging_client = medical_imaging_client
        self.s3_client = s3_client

    @classmethod
    def from_client(cls):
        medical_imaging_client = boto3.client("medical-imaging")
        s3_client = boto3.client("s3")
        return cls(medical_imaging_client, s3_client)


    def get_pixel_data(
        self, file_path_to_write, datastore_id, image_set_id, image_frame_id
    ):
        """
        Get an image frame's pixel data.

        :param file_path_to_write: The path to write the image frame's HTJ2K encoded pixel data.
        :param datastore_id: The ID of the data store.
        :param image_set_id: The ID of the image set.
        :param image_frame_id: The ID of the image frame.
        """
        try:
            image_frame = self.medical_imaging_client.get_image_frame(
                datastoreId=datastore_id,
                imageSetId=image_set_id,
                imageFrameInformation={"imageFrameId": image_frame_id},
            )
            with open(file_path_to_write, "wb") as f:
                for chunk in image_frame["imageFrameBlob"].iter_chunks():
                    f.write(chunk)
        except ClientError as err:
            logger.error(
                "Couldn't get image frame. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise


    def download_decode_and_check_image_frames(
        self, data_store_id, image_frames, out_directory
    ):
        """
        Downloads image frames, decodes them, and uses the checksum to validate
        the decoded images.

        :param data_store_id: The HealthImaging data store ID.
        :param image_frames: A list of dicts containing image frame information.
        :param out_directory: A directory for the downloaded images.
        :return: True if the function succeeded; otherwise, False.
        """
        total_result = True
        for image_frame in image_frames:
            image_file_path = f"{out_directory}/image_{image_frame['imageFrameId']}.jph"
            self.get_pixel_data(
                image_file_path,
                data_store_id,
                image_frame["imageSetId"],
                image_frame["imageFrameId"],
            )

            image_array = self.jph_image_to_opj_bitmap(image_file_path)
            crc32_checksum = image_frame["fullResolutionChecksum"]
            # Verify checksum.
            crc32_calculated = zlib.crc32(image_array)
            image_result = crc32_checksum == crc32_calculated
            print(
                f"\t\tImage checksum verified for {image_frame['imageFrameId']}: {image_result }"
            )
            total_result = total_result and image_result
        return total_result

    @staticmethod
    def jph_image_to_opj_bitmap(jph_file):
        """
        Decode the image to a bitmap using an OPENJPEG library.
        :param jph_file: The file to decode.
        :return: The decoded bitmap as an array.
        """
        # Use format 2 for the JPH file.
        params = openjpeg.utils.get_parameters(jph_file, 2)
        print(f"\n\t\tImage parameters for {jph_file}: \n\t\t{params}")

        image_array = openjpeg.utils.decode(jph_file, 2)

        return image_array
```
Pembersihan sumber daya   

```
    def destroy(self, stack):
        """
        Destroys the resources managed by the CloudFormation stack, and the CloudFormation
        stack itself.

        :param stack: The CloudFormation stack that manages the example resources.
        """

        print(f"\t\tCleaning up resources and {stack.name}.")
        data_store_id = None
        for oput in stack.outputs:
            if oput["OutputKey"] == "DatastoreID":
                data_store_id = oput["OutputValue"]
        if data_store_id is not None:
            print(f"\t\tDeleting image sets in data store {data_store_id}.")
            image_sets = self.medical_imaging_wrapper.search_image_sets(
                data_store_id, {}
            )
            image_set_ids = [image_set["imageSetId"] for image_set in image_sets]

            for image_set_id in image_set_ids:
                self.medical_imaging_wrapper.delete_image_set(
                    data_store_id, image_set_id
                )
                print(f"\t\tDeleted image set with id : {image_set_id}")

        print(f"\t\tDeleting {stack.name}.")
        stack.delete()
        print("\t\tWaiting for stack removal. This may take a few minutes.")
        waiter = self.cf_resource.meta.client.get_waiter("stack_delete_complete")
        waiter.wait(StackName=stack.name)
        print("\t\tStack delete complete.")




class MedicalImagingWrapper:
    """Encapsulates AWS HealthImaging functionality."""

    def __init__(self, medical_imaging_client, s3_client):
        """
        :param medical_imaging_client: A Boto3 Amazon MedicalImaging client.
        :param s3_client: A Boto3 S3 client.
        """
        self.medical_imaging_client = medical_imaging_client
        self.s3_client = s3_client

    @classmethod
    def from_client(cls):
        medical_imaging_client = boto3.client("medical-imaging")
        s3_client = boto3.client("s3")
        return cls(medical_imaging_client, s3_client)


    def search_image_sets(self, datastore_id, search_filter):
        """
        Search for image sets.

        :param datastore_id: The ID of the data store.
        :param search_filter: The search filter.
            For example: {"filters" : [{ "operator": "EQUAL", "values": [{"DICOMPatientId": "3524578"}]}]}.
        :return: The list of image sets.
        """
        try:
            paginator = self.medical_imaging_client.get_paginator("search_image_sets")
            page_iterator = paginator.paginate(
                datastoreId=datastore_id, searchCriteria=search_filter
            )
            metadata_summaries = []
            for page in page_iterator:
                metadata_summaries.extend(page["imageSetsMetadataSummaries"])
        except ClientError as err:
            logger.error(
                "Couldn't search image sets. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return metadata_summaries


    def delete_image_set(self, datastore_id, image_set_id):
        """
        Delete an image set.

        :param datastore_id: The ID of the data store.
        :param image_set_id: The ID of the image set.
        """
        try:
            delete_results = self.medical_imaging_client.delete_image_set(
                imageSetId=image_set_id, datastoreId=datastore_id
            )
        except ClientError as err:
            logger.error(
                "Couldn't delete image set. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
```
+ Untuk detail API, lihat topik berikut di *Referensi API AWS SDK untuk Python (Boto3)*.
  + [DeleteImageSet](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/DeleteImageSet)
  + [Dapatkan DICOMImport Job](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/GetDICOMImportJob)
  + [GetImageFrame](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/GetImageFrame)
  + [GetImageSetMetadata](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/GetImageSetMetadata)
  + [SearchImageSets](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/SearchImageSets)
  + [Mulai DICOMImport Job](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/StartDICOMImportJob)
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/medical-imaging/imaging_set_and_frames_workflow#code-examples). 

------

# Menandai penyimpanan HealthImaging data menggunakan SDK AWS
<a name="medical-imaging_example_medical-imaging_Scenario_TaggingDataStores_section"></a>

Contoh kode berikut menunjukkan cara menandai penyimpanan HealthImaging data.

------
#### [ Java ]

**SDK untuk Java 2.x**  
Untuk menandai penyimpanan data.  

```
                final String datastoreArn = "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012";

                TagResource.tagMedicalImagingResource(medicalImagingClient, datastoreArn,
                                ImmutableMap.of("Deployment", "Development"));
```
Fungsi utilitas untuk menandai sumber daya.  

```
    public static void tagMedicalImagingResource(MedicalImagingClient medicalImagingClient,
            String resourceArn,
            Map<String, String> tags) {
        try {
            TagResourceRequest tagResourceRequest = TagResourceRequest.builder()
                    .resourceArn(resourceArn)
                    .tags(tags)
                    .build();

            medicalImagingClient.tagResource(tagResourceRequest);

            System.out.println("Tags have been added to the resource.");
        } catch (MedicalImagingException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }
    }
```
Untuk daftar tag untuk penyimpanan data.  

```
                final String datastoreArn = "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012";

                ListTagsForResourceResponse result = ListTagsForResource.listMedicalImagingResourceTags(
                                medicalImagingClient,
                                datastoreArn);
                if (result != null) {
                        System.out.println("Tags for resource: " + result.tags());
                }
```
Fungsi utilitas untuk daftar tag sumber daya.  

```
    public static ListTagsForResourceResponse listMedicalImagingResourceTags(MedicalImagingClient medicalImagingClient,
            String resourceArn) {
        try {
            ListTagsForResourceRequest listTagsForResourceRequest = ListTagsForResourceRequest.builder()
                    .resourceArn(resourceArn)
                    .build();

            return medicalImagingClient.listTagsForResource(listTagsForResourceRequest);
        } catch (MedicalImagingException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }

        return null;
    }
```
Untuk menghapus tag penyimpanan data.  

```
                final String datastoreArn = "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012";

                UntagResource.untagMedicalImagingResource(medicalImagingClient, datastoreArn,
                                Collections.singletonList("Deployment"));
```
Fungsi utilitas untuk membuka tag sumber daya.  

```
    public static void untagMedicalImagingResource(MedicalImagingClient medicalImagingClient,
            String resourceArn,
            Collection<String> tagKeys) {
        try {
            UntagResourceRequest untagResourceRequest = UntagResourceRequest.builder()
                    .resourceArn(resourceArn)
                    .tagKeys(tagKeys)
                    .build();

            medicalImagingClient.untagResource(untagResourceRequest);

            System.out.println("Tags have been removed from the resource.");
        } catch (MedicalImagingException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }
    }
```
+ Untuk detail API, lihat topik berikut di *Referensi API AWS SDK for Java 2.x *.
  + [ListTagsForResource](https://docs.aws.amazon.com/goto/SdkForJavaV2/medical-imaging-2023-07-19/ListTagsForResource)
  + [TagResource](https://docs.aws.amazon.com/goto/SdkForJavaV2/medical-imaging-2023-07-19/TagResource)
  + [UntagResource](https://docs.aws.amazon.com/goto/SdkForJavaV2/medical-imaging-2023-07-19/UntagResource)
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/medicalimaging#code-examples). 

------
#### [ JavaScript ]

**SDK untuk JavaScript (v3)**  
Untuk menandai penyimpanan data.  

```
  try {
    const datastoreArn =
      "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012";
    const tags = {
      Deployment: "Development",
    };
    await tagResource(datastoreArn, tags);
  } catch (e) {
    console.log(e);
  }
```
Fungsi utilitas untuk menandai sumber daya.  

```
import { TagResourceCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} resourceArn - The Amazon Resource Name (ARN) for the data store or image set.
 * @param {Record<string,string>} tags - The tags to add to the resource as JSON.
 *                     - For example: {"Deployment" : "Development"}
 */
export const tagResource = async (
  resourceArn = "arn:aws:medical-imaging:us-east-1:xxxxxx:datastore/xxxxx/imageset/xxx",
  tags = {},
) => {
  const response = await medicalImagingClient.send(
    new TagResourceCommand({ resourceArn: resourceArn, tags: tags }),
  );
  console.log(response);
  // {
  //     '$metadata': {
  //        httpStatusCode: 204,
  //         requestId: '8a6de9a3-ec8e-47ef-8643-473518b19d45',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  //    }
  // }

  return response;
};
```
Untuk daftar tag untuk penyimpanan data.  

```
  try {
    const datastoreArn =
      "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012";
    const { tags } = await listTagsForResource(datastoreArn);
    console.log(tags);
  } catch (e) {
    console.log(e);
  }
```
Fungsi utilitas untuk daftar tag sumber daya.  

```
import { ListTagsForResourceCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} resourceArn - The Amazon Resource Name (ARN) for the data store or image set.
 */
export const listTagsForResource = async (
  resourceArn = "arn:aws:medical-imaging:us-east-1:abc:datastore/def/imageset/ghi",
) => {
  const response = await medicalImagingClient.send(
    new ListTagsForResourceCommand({ resourceArn: resourceArn }),
  );
  console.log(response);
  // {
  //     '$metadata': {
  //         httpStatusCode: 200,
  //         requestId: '008fc6d3-abec-4870-a155-20fa3631e645',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  //     },
  //     tags: { Deployment: 'Development' }
  // }

  return response;
};
```
Untuk menghapus tag penyimpanan data.  

```
  try {
    const datastoreArn =
      "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012";
    const keys = ["Deployment"];
    await untagResource(datastoreArn, keys);
  } catch (e) {
    console.log(e);
  }
```
Fungsi utilitas untuk membuka tag sumber daya.  

```
import { UntagResourceCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} resourceArn - The Amazon Resource Name (ARN) for the data store or image set.
 * @param {string[]} tagKeys - The keys of the tags to remove.
 */
export const untagResource = async (
  resourceArn = "arn:aws:medical-imaging:us-east-1:xxxxxx:datastore/xxxxx/imageset/xxx",
  tagKeys = [],
) => {
  const response = await medicalImagingClient.send(
    new UntagResourceCommand({ resourceArn: resourceArn, tagKeys: tagKeys }),
  );
  console.log(response);
  // {
  //     '$metadata': {
  //        httpStatusCode: 204,
  //         requestId: '8a6de9a3-ec8e-47ef-8643-473518b19d45',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  //    }
  // }

  return response;
};
```
+ Untuk detail API, lihat topik berikut di *Referensi API AWS SDK untuk JavaScript *.
  + [ListTagsForResource](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/ListTagsForResourceCommand)
  + [TagResource](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/TagResourceCommand)
  + [UntagResource](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/UntagResourceCommand)
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples). 

------
#### [ Python ]

**SDK untuk Python (Boto3)**  
Untuk menandai penyimpanan data.  

```
    a_data_store_arn = "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012"

    medical_imaging_wrapper.tag_resource(data_store_arn, {"Deployment": "Development"})
```
Fungsi utilitas untuk menandai sumber daya.  

```
class MedicalImagingWrapper:
    def __init__(self, health_imaging_client):
        self.health_imaging_client = health_imaging_client


    def tag_resource(self, resource_arn, tags):
        """
        Tag a resource.

        :param resource_arn: The ARN of the resource.
        :param tags: The tags to apply.
        """
        try:
            self.health_imaging_client.tag_resource(resourceArn=resource_arn, tags=tags)
        except ClientError as err:
            logger.error(
                "Couldn't tag resource. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
```
Untuk daftar tag untuk penyimpanan data.  

```
    a_data_store_arn = "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012"

    medical_imaging_wrapper.list_tags_for_resource(data_store_arn)
```
Fungsi utilitas untuk daftar tag sumber daya.  

```
class MedicalImagingWrapper:
    def __init__(self, health_imaging_client):
        self.health_imaging_client = health_imaging_client


    def list_tags_for_resource(self, resource_arn):
        """
        List the tags for a resource.

        :param resource_arn: The ARN of the resource.
        :return: The list of tags.
        """
        try:
            tags = self.health_imaging_client.list_tags_for_resource(
                resourceArn=resource_arn
            )
        except ClientError as err:
            logger.error(
                "Couldn't list tags for resource. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return tags["tags"]
```
Untuk menghapus tag penyimpanan data.  

```
    a_data_store_arn = "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012"

    medical_imaging_wrapper.untag_resource(data_store_arn, ["Deployment"])
```
Fungsi utilitas untuk membuka tag sumber daya.  

```
class MedicalImagingWrapper:
    def __init__(self, health_imaging_client):
        self.health_imaging_client = health_imaging_client


    def untag_resource(self, resource_arn, tag_keys):
        """
        Untag a resource.

        :param resource_arn: The ARN of the resource.
        :param tag_keys: The tag keys to remove.
        """
        try:
            self.health_imaging_client.untag_resource(
                resourceArn=resource_arn, tagKeys=tag_keys
            )
        except ClientError as err:
            logger.error(
                "Couldn't untag resource. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
```
Kode berikut membuat instance objek. MedicalImagingWrapper   

```
    client = boto3.client("medical-imaging")
    medical_imaging_wrapper = MedicalImagingWrapper(client)
```
+ Untuk detail API, lihat topik berikut di *Referensi API AWS SDK untuk Python (Boto3)*.
  + [ListTagsForResource](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/ListTagsForResource)
  + [TagResource](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/TagResource)
  + [UntagResource](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/UntagResource)
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples). 

------

# Menandai set HealthImaging gambar menggunakan SDK AWS
<a name="medical-imaging_example_medical-imaging_Scenario_TaggingImageSets_section"></a>

Contoh kode berikut menunjukkan cara menandai set HealthImaging gambar.

------
#### [ Java ]

**SDK untuk Java 2.x**  
Untuk menandai set gambar.  

```
                final String imageSetArn = "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012/imageset/12345678901234567890123456789012";

                TagResource.tagMedicalImagingResource(medicalImagingClient, imageSetArn,
                                ImmutableMap.of("Deployment", "Development"));
```
Fungsi utilitas untuk menandai sumber daya.  

```
    public static void tagMedicalImagingResource(MedicalImagingClient medicalImagingClient,
            String resourceArn,
            Map<String, String> tags) {
        try {
            TagResourceRequest tagResourceRequest = TagResourceRequest.builder()
                    .resourceArn(resourceArn)
                    .tags(tags)
                    .build();

            medicalImagingClient.tagResource(tagResourceRequest);

            System.out.println("Tags have been added to the resource.");
        } catch (MedicalImagingException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }
    }
```
Untuk mencantumkan tag untuk kumpulan gambar.  

```
                final String imageSetArn = "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012/imageset/12345678901234567890123456789012";

                ListTagsForResourceResponse result = ListTagsForResource.listMedicalImagingResourceTags(
                                medicalImagingClient,
                                imageSetArn);
                if (result != null) {
                        System.out.println("Tags for resource: " + result.tags());
                }
```
Fungsi utilitas untuk daftar tag sumber daya.  

```
    public static ListTagsForResourceResponse listMedicalImagingResourceTags(MedicalImagingClient medicalImagingClient,
            String resourceArn) {
        try {
            ListTagsForResourceRequest listTagsForResourceRequest = ListTagsForResourceRequest.builder()
                    .resourceArn(resourceArn)
                    .build();

            return medicalImagingClient.listTagsForResource(listTagsForResourceRequest);
        } catch (MedicalImagingException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }

        return null;
    }
```
Untuk menghapus tag set gambar.  

```
                final String imageSetArn = "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012/imageset/12345678901234567890123456789012";

                UntagResource.untagMedicalImagingResource(medicalImagingClient, imageSetArn,
                                Collections.singletonList("Deployment"));
```
Fungsi utilitas untuk membuka tag sumber daya.  

```
    public static void untagMedicalImagingResource(MedicalImagingClient medicalImagingClient,
            String resourceArn,
            Collection<String> tagKeys) {
        try {
            UntagResourceRequest untagResourceRequest = UntagResourceRequest.builder()
                    .resourceArn(resourceArn)
                    .tagKeys(tagKeys)
                    .build();

            medicalImagingClient.untagResource(untagResourceRequest);

            System.out.println("Tags have been removed from the resource.");
        } catch (MedicalImagingException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }
    }
```
+ Untuk detail API, lihat topik berikut di *Referensi API AWS SDK for Java 2.x *.
  + [ListTagsForResource](https://docs.aws.amazon.com/goto/SdkForJavaV2/medical-imaging-2023-07-19/ListTagsForResource)
  + [TagResource](https://docs.aws.amazon.com/goto/SdkForJavaV2/medical-imaging-2023-07-19/TagResource)
  + [UntagResource](https://docs.aws.amazon.com/goto/SdkForJavaV2/medical-imaging-2023-07-19/UntagResource)
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/medicalimaging#code-examples). 

------
#### [ JavaScript ]

**SDK untuk JavaScript (v3)**  
Untuk menandai set gambar.  

```
  try {
    const imagesetArn =
      "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012/imageset/12345678901234567890123456789012";
    const tags = {
      Deployment: "Development",
    };
    await tagResource(imagesetArn, tags);
  } catch (e) {
    console.log(e);
  }
```
Fungsi utilitas untuk menandai sumber daya.  

```
import { TagResourceCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} resourceArn - The Amazon Resource Name (ARN) for the data store or image set.
 * @param {Record<string,string>} tags - The tags to add to the resource as JSON.
 *                     - For example: {"Deployment" : "Development"}
 */
export const tagResource = async (
  resourceArn = "arn:aws:medical-imaging:us-east-1:xxxxxx:datastore/xxxxx/imageset/xxx",
  tags = {},
) => {
  const response = await medicalImagingClient.send(
    new TagResourceCommand({ resourceArn: resourceArn, tags: tags }),
  );
  console.log(response);
  // {
  //     '$metadata': {
  //        httpStatusCode: 204,
  //         requestId: '8a6de9a3-ec8e-47ef-8643-473518b19d45',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  //    }
  // }

  return response;
};
```
Untuk mencantumkan tag untuk kumpulan gambar.  

```
  try {
    const imagesetArn =
      "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012/imageset/12345678901234567890123456789012";
    const { tags } = await listTagsForResource(imagesetArn);
    console.log(tags);
  } catch (e) {
    console.log(e);
  }
```
Fungsi utilitas untuk daftar tag sumber daya.  

```
import { ListTagsForResourceCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} resourceArn - The Amazon Resource Name (ARN) for the data store or image set.
 */
export const listTagsForResource = async (
  resourceArn = "arn:aws:medical-imaging:us-east-1:abc:datastore/def/imageset/ghi",
) => {
  const response = await medicalImagingClient.send(
    new ListTagsForResourceCommand({ resourceArn: resourceArn }),
  );
  console.log(response);
  // {
  //     '$metadata': {
  //         httpStatusCode: 200,
  //         requestId: '008fc6d3-abec-4870-a155-20fa3631e645',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  //     },
  //     tags: { Deployment: 'Development' }
  // }

  return response;
};
```
Untuk menghapus tag set gambar.  

```
  try {
    const imagesetArn =
      "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012/imageset/12345678901234567890123456789012";
    const keys = ["Deployment"];
    await untagResource(imagesetArn, keys);
  } catch (e) {
    console.log(e);
  }
```
Fungsi utilitas untuk membuka tag sumber daya.  

```
import { UntagResourceCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} resourceArn - The Amazon Resource Name (ARN) for the data store or image set.
 * @param {string[]} tagKeys - The keys of the tags to remove.
 */
export const untagResource = async (
  resourceArn = "arn:aws:medical-imaging:us-east-1:xxxxxx:datastore/xxxxx/imageset/xxx",
  tagKeys = [],
) => {
  const response = await medicalImagingClient.send(
    new UntagResourceCommand({ resourceArn: resourceArn, tagKeys: tagKeys }),
  );
  console.log(response);
  // {
  //     '$metadata': {
  //        httpStatusCode: 204,
  //         requestId: '8a6de9a3-ec8e-47ef-8643-473518b19d45',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  //    }
  // }

  return response;
};
```
+ Untuk detail API, lihat topik berikut di *Referensi API AWS SDK untuk JavaScript *.
  + [ListTagsForResource](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/ListTagsForResourceCommand)
  + [TagResource](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/TagResourceCommand)
  + [UntagResource](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/UntagResourceCommand)
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples). 

------
#### [ Python ]

**SDK untuk Python (Boto3)**  
Untuk menandai set gambar.  

```
    an_image_set_arn = (
        "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012/"
        "imageset/12345678901234567890123456789012"
    )

    medical_imaging_wrapper.tag_resource(image_set_arn, {"Deployment": "Development"})
```
Fungsi utilitas untuk menandai sumber daya.  

```
class MedicalImagingWrapper:
    def __init__(self, health_imaging_client):
        self.health_imaging_client = health_imaging_client


    def tag_resource(self, resource_arn, tags):
        """
        Tag a resource.

        :param resource_arn: The ARN of the resource.
        :param tags: The tags to apply.
        """
        try:
            self.health_imaging_client.tag_resource(resourceArn=resource_arn, tags=tags)
        except ClientError as err:
            logger.error(
                "Couldn't tag resource. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
```
Untuk mencantumkan tag untuk kumpulan gambar.  

```
    an_image_set_arn = (
        "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012/"
        "imageset/12345678901234567890123456789012"
    )

    medical_imaging_wrapper.list_tags_for_resource(image_set_arn)
```
Fungsi utilitas untuk daftar tag sumber daya.  

```
class MedicalImagingWrapper:
    def __init__(self, health_imaging_client):
        self.health_imaging_client = health_imaging_client


    def list_tags_for_resource(self, resource_arn):
        """
        List the tags for a resource.

        :param resource_arn: The ARN of the resource.
        :return: The list of tags.
        """
        try:
            tags = self.health_imaging_client.list_tags_for_resource(
                resourceArn=resource_arn
            )
        except ClientError as err:
            logger.error(
                "Couldn't list tags for resource. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return tags["tags"]
```
Untuk menghapus tag set gambar.  

```
    an_image_set_arn = (
        "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012/"
        "imageset/12345678901234567890123456789012"
    )

    medical_imaging_wrapper.untag_resource(image_set_arn, ["Deployment"])
```
Fungsi utilitas untuk membuka tag sumber daya.  

```
class MedicalImagingWrapper:
    def __init__(self, health_imaging_client):
        self.health_imaging_client = health_imaging_client


    def untag_resource(self, resource_arn, tag_keys):
        """
        Untag a resource.

        :param resource_arn: The ARN of the resource.
        :param tag_keys: The tag keys to remove.
        """
        try:
            self.health_imaging_client.untag_resource(
                resourceArn=resource_arn, tagKeys=tag_keys
            )
        except ClientError as err:
            logger.error(
                "Couldn't untag resource. Here's why: %s: %s",
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
```
Kode berikut membuat instance objek. MedicalImagingWrapper   

```
    client = boto3.client("medical-imaging")
    medical_imaging_wrapper = MedicalImagingWrapper(client)
```
+ Untuk detail API, lihat topik berikut di *Referensi API AWS SDK untuk Python (Boto3)*.
  + [ListTagsForResource](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/ListTagsForResource)
  + [TagResource](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/TagResource)
  + [UntagResource](https://docs.aws.amazon.com/goto/boto3/medical-imaging-2023-07-19/UntagResource)
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples). 

------