HealthImaging 使用适用于 JavaScript (v3) 的 SDK 的示例

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;
};

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;
};

用于复制映像集的实用程序函数。

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.
 */
export const copyImageSet = async (
  datastoreId = "xxxxxxxxxxx",
  imageSetId = "xxxxxxxxxxxx",
  sourceVersionId = "1",
  destinationImageSetId = "",
  destinationVersionId = ""
) => {
  const params = {
    datastoreId: datastoreId,
    sourceImageSetId: imageSetId,
    copyImageSetInformation: {
      sourceImageSet: { latestVersionId: sourceVersionId },
    },
  };
  if (destinationImageSetId !== "" && destinationVersionId !== "") {
    params.copyImageSetInformation.destinationImageSet = {
      imageSetId: destinationImageSetId,
      latestVersionId: destinationVersionId,
    };
  }

  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;
};

复制没有目标的映像集。

  try {
    await copyImageSet(
      "12345678901234567890123456789012",
      "12345678901234567890123456789012",
      "1"
    );
  } catch (err) {
    console.error(err);
  }

复制带有目标的映像集。

  try {
    await copyImageSet(
      "12345678901234567890123456789012",
      "12345678901234567890123456789012",
      "4",
      "12345678901234567890123456789012",
      "1"
    );
  } catch (err) {
    console.error(err);
  }

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;
};

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;
};

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;
};

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;
};

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"];
};

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 = ""
) => {
  let 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;
};

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;
};

用于获取映像集元数据的实用程序函数。

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

获取没有版本的映像集元数据。

  try {
    await getImageSetMetadata(
      "metadata.json.gzip",
      "12345678901234567890123456789012",
      "12345678901234567890123456789012"
    );
  } catch (err) {
    console.log("Error", err);
  }

获取带有版本的映像集元数据。

  try {
    await getImageSetMetadata(
      "metadata2.json.gzip",
      "12345678901234567890123456789012",
      "12345678901234567890123456789012",
      "1"
    );
  } catch (err) {
    console.log("Error", err);
  }

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;
};

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;
};

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
  );

  let 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;
};

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);

  let 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;
};

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;
};

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;
};

用于搜索映像集的实用程序函数。

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.
 */
export const searchImageSets = async (
  datastoreId = "xxxxxxxx",
  filters = []
) => {
  const paginatorConfig = {
    client: medicalImagingClient,
    pageSize: 50,
  };

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

  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;
};

使用案例 #1：EQUAL 运算符。

  const datastoreId = "12345678901234567890123456789012";

  try {
    const filters = [
      {
        values: [{ DICOMPatientId: "9227465" }],
        operator: "EQUAL",
      },
    ];

    await searchImageSets(datastoreId, filters);
  } catch (err) {
    console.error(err);
  }

用例 #2: 在使用 DICOM 和 DICOM 的运算符之间StudyDate 。StudyTime

  const datastoreId = "12345678901234567890123456789012";

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

    await searchImageSets(datastoreId, filters);
  } catch (err) {
    console.error(err);
  }

使用案例 #3：使用 createdAt 的 BETWEEN 运算符。时间研究以前一直存在。

  const datastoreId = "12345678901234567890123456789012";

  try {
    const filters = [
      {
        values: [
          { createdAt: new Date("1985-04-12T23:20:50.52Z") },
          { createdAt: new Date("2023-09-12T23:20:50.52Z") },
        ],
        operator: "BETWEEN",
      },
    ];

    await searchImageSets(datastoreId, filters);
  } catch (err) {
    console.error(err);
  }

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.
 */
export const updateImageSetMetadata = async (datastoreId = "xxxxxxxxxx",
                                             imageSetId = "xxxxxxxxxx",
                                             latestVersionId = "1",
                                             updateMetadata = '{}') => {
    const response = await medicalImagingClient.send(
        new UpdateImageSetMetadataCommand({
            datastoreId: datastoreId,
            imageSetId: imageSetId,
            latestVersionId: latestVersionId,
            updateImageSetMetadataUpdates: updateMetadata
        })
    );
    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;
};

对元数据进行编码。

    const updatableAttributes =
JSON.stringify({
  "SchemaVersion": 1.1,
  "Patient": {
    "DICOM": {
      "PatientName": "Garcia^Gloria"
    }
  }
})

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

    await updateImageSetMetadata("12345678901234567890123456789012", "12345678901234567890123456789012",
        "1", updateMetadata);

标记数据存储。

  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);
  }

用于标记资源的实用程序函数。

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;
};

列出数据存储的标签。

  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);
  }

用于列出资源标签的实用程序函数。

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;
};

取消标记数据存储。

  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);
  }

用于取消标记资源的实用程序函数。

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;
};

标记映像集。

  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);
  }

用于标记资源的实用程序函数。

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;
};

列出映像集的标签。

  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);
  }

用于列出资源标签的实用程序函数。

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;
};

取消标记映像集。

  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);
  }

用于取消标记资源的实用程序函数。

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;
};