使用客户端库存储医疗保健数据

使用客户端库存储医疗保健数据

使用客户端库存储医疗保健数据

本页面介绍如何使用 Cloud Healthcare API 和 Google API 客户端库完成以下任务：

1. 创建 Cloud Healthcare API 数据集。
2. 在数据集内创建以下数据存储区之一：
• 医学数字图像和通信 (DICOM) 存储区
• 快速医疗互操作性资源 (FHIR) 存储区
• Health Level Seven International 版本 2 (HL7v2) 存储区
3. 在 DICOM、FHIR 或 HL7v2 存储区中存储和检查特定类型的医疗数据。

如果您只想使用一种类型的数据存储区，可以在完成准备工作和创建数据集中的步骤后直接跳到快速入门的相应部分。

注意 ：Cloud Healthcare API 使用 Google API 客户端库，并且不支持 Cloud 客户端库。

准备工作

1. Sign in to your Google Cloud account. If you're new to Google Cloud, create an account to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.
2. Install the Google Cloud CLI.

3. To initialize the gcloud CLI, run the following command:

   gcloud init

4. Create or select a Google Cloud project.

   Note: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.

   • Create a Google Cloud project:

     gcloud projects create PROJECT_ID

     Replace PROJECT_ID with a name for the Google Cloud project you are creating.

   • Select the Google Cloud project that you created:

     gcloud config set project PROJECT_ID

     Replace PROJECT_ID with your Google Cloud project name.

5. Make sure that billing is enabled for your Google Cloud project.

6. Enable the Cloud Healthcare API:

   gcloud services enable healthcare.googleapis.com

7. Create local authentication credentials for your user account:

   gcloud auth application-default login

8. Grant roles to your user account. Run the following command once for each of the following IAM roles: roles/healthcare.datasetAdmin, roles/healthcare.fhirStoreAdmin, roles/healthcare.dicomStoreAdmin, roles/healthcare.hl7V2StoreAdmin

   gcloud projects add-iam-policy-binding PROJECT_ID --member="USER_IDENTIFIER" --role=ROLE

   • Replace PROJECT_ID with your project ID.

   • Replace USER_IDENTIFIER with the identifier for your user account. For example, user:[e-mail].

   • Replace ROLE with each individual role.
9. Install the Google Cloud CLI.

10. To initialize the gcloud CLI, run the following command:

    gcloud init

11. Create or select a Google Cloud project.

    Note: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.

    • Create a Google Cloud project:

      gcloud projects create PROJECT_ID

      Replace PROJECT_ID with a name for the Google Cloud project you are creating.

    • Select the Google Cloud project that you created:

      gcloud config set project PROJECT_ID

      Replace PROJECT_ID with your Google Cloud project name.

12. Make sure that billing is enabled for your Google Cloud project.

13. Enable the Cloud Healthcare API:

    gcloud services enable healthcare.googleapis.com

14. Create local authentication credentials for your user account:

    gcloud auth application-default login

15. Grant roles to your user account. Run the following command once for each of the following IAM roles: roles/healthcare.datasetAdmin, roles/healthcare.fhirStoreAdmin, roles/healthcare.dicomStoreAdmin, roles/healthcare.hl7V2StoreAdmin

    gcloud projects add-iam-policy-binding PROJECT_ID --member="USER_IDENTIFIER" --role=ROLE

    • Replace PROJECT_ID with your project ID.

    • Replace USER_IDENTIFIER with the identifier for your user account. For example, user:[e-mail].

    • Replace ROLE with each individual role.

安装客户端库

以下示例展示了如何安装 Google API 客户端库：

Go

如需了解如何配置 Go 开发环境，请参阅设置 Go 开发环境。

go get google.golang.org/api/healthcare/v1

Java

如需了解如何配置 Java 开发环境，请参阅设置 Java 开发环境。

如果您使用的是 Maven，请使用 Google Cloud 库物料清单 (BOM) 中的版本将以下内容添加到 pom.xml 文件中。如需详细了解 BoM，请参阅使用 Cloud 客户端库。

<dependencyManagement>
  <dependencies>
    <dependency>
      <groupId>com.google.cloud</groupId>
      <artifactId>libraries-bom</artifactId>
      <version>26.18.0</version>
      <type>pom</type>
      <scope>import</scope>
    </dependency>
  </dependencies>
</dependencyManagement>

<dependencies>
  <dependency>
    <groupId>com.google.apis</groupId>
    <artifactId>google-api-services-healthcare</artifactId>
  </dependency>

</dependencies>

Node.js

如需了解如何配置 Node.js 开发环境，请参阅设置 Node.js 开发环境。

npm install @googleapis/healthcare

Python

如需了解如何配置 Python 开发环境，请参阅设置 Python 开发环境。

# Use a virtual environment as shown in the Python development environment guide.
pip install --upgrade google-api-python-client

创建数据集

数据集包含数据存储区，数据存储区包含医疗保健数据。 要使用 Cloud Healthcare API，您必须至少创建一个数据集。

运行以下示例以创建数据集。在本快速入门中，您将用到该数据集。

在运行示例之前，请根据需要取消注释并提供以下值：

• 您在准备工作部分中创建或选择的 Google Cloud 项目的 ID 作为项目 ID
• my-dataset 用于数据集 ID
• us-central1 - 数据集位置

Go

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Go 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Go API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

import (
	"context"
	"fmt"
	"io"
	"time"

	healthcare "google.golang.org/api/healthcare/v1"
)

// createDataset creates a dataset.
func createDataset(w io.Writer, projectID, location, datasetID string) error {
	// Set a deadline for the dataset to become initialized.
	ctx, cancel := context.WithTimeout(context.Background(), 2*time.Minute)
	defer cancel()

	healthcareService, err := healthcare.NewService(ctx)
	if err != nil {
		return fmt.Errorf("healthcare.NewService: %w", err)
	}

	datasetsService := healthcareService.Projects.Locations.Datasets

	parent := fmt.Sprintf("projects/%s/locations/%s", projectID, location)

	resp, err := datasetsService.Create(parent, &healthcare.Dataset{}).DatasetId(datasetID).Context(ctx).Do()
	if err != nil {
		return fmt.Errorf("Create: %w", err)
	}

	// The dataset is not always ready to use immediately, instead a long-running operation is returned.
	// This is how you might poll the operation to ensure the dataset is fully initialized before proceeding.
	// Initialization usually takes less than a minute.
	for !resp.Done {
		time.Sleep(15 * time.Second)
		resp, err = datasetsService.Operations.Get(resp.Name).Context(ctx).Do()
		if err != nil {
			return fmt.Errorf("Operations.Get(%s): %w", resp.Name, err)
		}
	}

	fmt.Fprintf(w, "Created dataset: %q\n", resp.Name)
	return nil
}

Java

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Java 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Java API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

import com.google.api.client.http.HttpRequestInitializer;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.gson.GsonFactory;
import com.google.api.services.healthcare.v1.CloudHealthcare;
import com.google.api.services.healthcare.v1.CloudHealthcare.Projects.Locations.Datasets;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.api.services.healthcare.v1.model.Dataset;
import com.google.api.services.healthcare.v1.model.Operation;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.IOException;
import java.util.Collections;

public class DatasetCreate {
  private static final String DATASET_NAME = "projects/%s/locations/%s/datasets/%s";
  private static final JsonFactory JSON_FACTORY = new GsonFactory();
  private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();

  public static void datasetCreate(String projectId, String regionId, String datasetId)
      throws IOException {
    // String projectId = "your-project-id";
    // String regionId = "us-central1";
    // String datasetId = "your-dataset-id";

    // Initialize the client, which will be used to interact with the service.
    CloudHealthcare client = createClient();

    // Configure the dataset to be created.
    Dataset dataset = new Dataset();
    dataset.setTimeZone("America/Chicago");

    // Create request and configure any parameters.
    String parentName = String.format("projects/%s/locations/%s", projectId, regionId);
    Datasets.Create request = client.projects().locations().datasets().create(parentName, dataset);
    request.setDatasetId(datasetId);

    // Execute the request, wait for the operation to complete, and process the results.
    try {
      Operation operation = request.execute();
      System.out.println(operation.toPrettyString());
      while (operation.getDone() == null || !operation.getDone()) {
        // Update the status of the operation with another request.
        Thread.sleep(500); // Pause for 500ms between requests.
        operation =
            client
                .projects()
                .locations()
                .datasets()
                .operations()
                .get(operation.getName())
                .execute();
      }
      System.out.println("Dataset created. Response content: " + operation.getResponse());
    } catch (Exception ex) {
      System.out.printf("Error during request execution: %s\n", ex.toString());
      ex.printStackTrace(System.out);
    }
  }

  private static CloudHealthcare createClient() throws IOException {
    // Use Application Default Credentials (ADC) to authenticate the requests
    // For more information see https://cloud.google.com/docs/authentication/production
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    // Create a HttpRequestInitializer, which will provide a baseline configuration to all requests.
    HttpRequestInitializer requestInitializer =
        request -> {
          new HttpCredentialsAdapter(credential).initialize(request);
          request.setConnectTimeout(60000); // 1 minute connect timeout
          request.setReadTimeout(60000); // 1 minute read timeout
        };

    // Build the client for interacting with the service.
    return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
        .setApplicationName("your-application-name")
        .build();
  }
}

Node.js

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Node.js 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Node.js API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

const google = require('@googleapis/healthcare');
const healthcare = google.healthcare({
  version: 'v1',
  auth: new google.auth.GoogleAuth({
    scopes: ['https://www.googleapis.com/auth/cloud-platform'],
  }),
});

const createDataset = async () => {
  // TODO(developer): uncomment these lines before running the sample
  // const cloudRegion = 'us-central1';
  // const projectId = 'adjective-noun-123';
  // const datasetId = 'my-dataset';
  const parent = `projects/${projectId}/locations/${cloudRegion}`;
  const request = {parent, datasetId};

  await healthcare.projects.locations.datasets.create(request);
  console.log(`Created dataset: ${datasetId}`);
};

createDataset();

Python

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Python 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Python API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

# Imports the Dict type for runtime type hints.
from typing import Dict

def create_dataset(project_id: str, location: str, dataset_id: str) -> Dict[str, str]:
    """Creates a Cloud Healthcare API dataset.

    See
    https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/healthcare/api-client/v1/datasets
    before running the sample.
    See
    https://googleapis.github.io/google-api-python-client/docs/dyn/healthcare_v1.projects.locations.datasets.html#create
    for the Python API reference.

    Args:
      project_id: The project ID or project number of the Google Cloud project you want
          to use.
      location: The name of the dataset's location.
      dataset_id: The ID of the dataset to create.

    Returns:
      A dictionary representing a long-running operation that results from
      calling the 'CreateDataset' method. Dataset creation is typically fast.
    """
    # Imports the Python built-in time module.
    import time

    # Imports the Google API Discovery Service.
    from googleapiclient import discovery

    # Imports HttpError from the Google Python API client errors module.
    from googleapiclient.errors import HttpError

    api_version = "v1"
    service_name = "healthcare"
    # Returns an authorized API client by discovering the Healthcare API
    # and using GOOGLE_APPLICATION_CREDENTIALS environment variable.
    client = discovery.build(service_name, api_version)

    # TODO(developer): Uncomment these lines and replace with your values.
    # project_id = 'my-project'
    # location = 'us-central1'
    # dataset_id = 'my-dataset'
    dataset_parent = f"projects/{project_id}/locations/{location}"

    request = (
        client.projects()
        .locations()
        .datasets()
        .create(parent=dataset_parent, body={}, datasetId=dataset_id)
    )

    # Wait for operation to complete.
    start_time = time.time()
    max_time = 600  # 10 minutes, but dataset creation is typically only a few seconds.

    try:
        operation = request.execute()
        while not operation.get("done", False):
            # Poll until the operation finishes.
            print("Waiting for operation to finish...")
            if time.time() - start_time > max_time:
                raise TimeoutError("Timed out waiting for operation to finish.")
            operation = (
                client.projects()
                .locations()
                .datasets()
                .operations()
                .get(name=operation["name"])
                .execute()
            )
            # Wait 5 seconds between each poll to the operation.
            time.sleep(5)

        if "error" in operation:
            raise RuntimeError(f"Create dataset operation failed: {operation['error']}")
        else:
            dataset_name = operation["response"]["name"]
            print(f"Created dataset: {dataset_name}")
            return operation

    except HttpError as err:
        # A common error is when the dataset already exists.
        if err.resp.status == 409:
            print(f"Dataset with ID {dataset_id} already exists.")
            return
        else:
            raise err

如需完成本快速入门，请从以下部分中选择一个：

• 存储和查看 DICOM 实例
• 存储和查看 FHIR 资源
• 存储和查看 HL7v2 消息

存储和查看 DICOM 实例

本部分介绍了如何完成以下任务：

1. 创建 DICOM 存储区。
2. 将 DICOM 实例存储在 DICOM 存储区中。
3. 查看 DICOM 实例的元数据。

Cloud Healthcare API 实现了 DICOMweb 标准，用于存储和访问医学成像数据。

创建 DICOM 存储区

在运行示例之前，请根据需要取消注释并提供以下值：

DICOM 存储区位于数据集内，用于存储 DICOM 实例。请运行以下示例以创建 DICOM 存储区。

在运行示例之前，请根据需要取消注释并提供以下值：

• 您在准备工作部分中创建或选择的 Google Cloud 项目的 ID 作为项目 ID
• my-dataset 用于数据集 ID
• us-central1 - 数据集位置
• my-dicom-store（对于 DICOM 存储区 ID）

Go

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Go 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Go API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

import (
	"context"
	"fmt"
	"io"

	healthcare "google.golang.org/api/healthcare/v1"
)

// createDICOMStore creates a DICOM store.
func createDICOMStore(w io.Writer, projectID, location, datasetID, dicomStoreID string) error {
	ctx := context.Background()

	healthcareService, err := healthcare.NewService(ctx)
	if err != nil {
		return fmt.Errorf("healthcare.NewService: %w", err)
	}

	storesService := healthcareService.Projects.Locations.Datasets.DicomStores

	store := &healthcare.DicomStore{}
	parent := fmt.Sprintf("projects/%s/locations/%s/datasets/%s", projectID, location, datasetID)

	resp, err := storesService.Create(parent, store).DicomStoreId(dicomStoreID).Do()
	if err != nil {
		return fmt.Errorf("Create: %w", err)
	}

	fmt.Fprintf(w, "Created DICOM store: %q\n", resp.Name)
	return nil
}

Java

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Java 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Java API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

import com.google.api.client.http.HttpRequestInitializer;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.gson.GsonFactory;
import com.google.api.services.healthcare.v1.CloudHealthcare;
import com.google.api.services.healthcare.v1.CloudHealthcare.Projects.Locations.Datasets.DicomStores;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.api.services.healthcare.v1.model.DicomStore;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.IOException;
import java.util.Collections;
import java.util.HashMap;
import java.util.Map;

public class DicomStoreCreate {
  private static final String DATASET_NAME = "projects/%s/locations/%s/datasets/%s";
  private static final JsonFactory JSON_FACTORY = new GsonFactory();
  private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();

  public static void dicomStoreCreate(String datasetName, String dicomStoreId) throws IOException {
    // String datasetName =
    //     String.format(DATASET_NAME, "your-project-id", "your-region-id", "your-dataset-id");

    // Initialize the client, which will be used to interact with the service.
    CloudHealthcare client = createClient();

    // Configure the dicomStore to be created.
    Map<String, String> labels = new HashMap<>();
    labels.put("key1", "value1");
    labels.put("key2", "value2");
    DicomStore content = new DicomStore().setLabels(labels);

    // Create request and configure any parameters.
    DicomStores.Create request =
        client
            .projects()
            .locations()
            .datasets()
            .dicomStores()
            .create(datasetName, content)
            .setDicomStoreId(dicomStoreId);

    // Execute the request and process the results.
    DicomStore response = request.execute();
    System.out.println("DICOM store created: " + response.toPrettyString());
  }

  private static CloudHealthcare createClient() throws IOException {
    // Use Application Default Credentials (ADC) to authenticate the requests
    // For more information see https://cloud.google.com/docs/authentication/production
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    // Create a HttpRequestInitializer, which will provide a baseline configuration to all requests.
    HttpRequestInitializer requestInitializer =
        request -> {
          new HttpCredentialsAdapter(credential).initialize(request);
          request.setConnectTimeout(60000); // 1 minute connect timeout
          request.setReadTimeout(60000); // 1 minute read timeout
        };

    // Build the client for interacting with the service.
    return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
        .setApplicationName("your-application-name")
        .build();
  }
}

Node.js

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Node.js 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Node.js API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

const google = require('@googleapis/healthcare');
const healthcare = google.healthcare({
  version: 'v1',
  auth: new google.auth.GoogleAuth({
    scopes: ['https://www.googleapis.com/auth/cloud-platform'],
  }),
});

const createDicomStore = async () => {
  // TODO(developer): uncomment these lines before running the sample
  // const cloudRegion = 'us-central1';
  // const projectId = 'adjective-noun-123';
  // const datasetId = 'my-dataset';
  // const dicomStoreId = 'my-dicom-store';
  const parent = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}`;
  const request = {parent, dicomStoreId};

  await healthcare.projects.locations.datasets.dicomStores.create(request);
  console.log(`Created DICOM store: ${dicomStoreId}`);
};

createDicomStore();

Python

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Python 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Python API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

def create_dicom_store(project_id, location, dataset_id, dicom_store_id):
    """Creates a new DICOM store within the parent dataset.

    See https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/healthcare/api-client/v1/dicom
    before running the sample."""
    # Imports the Google API Discovery Service.
    from googleapiclient import discovery

    api_version = "v1"
    service_name = "healthcare"
    # Returns an authorized API client by discovering the Healthcare API
    # and using GOOGLE_APPLICATION_CREDENTIALS environment variable.
    client = discovery.build(service_name, api_version)

    # TODO(developer): Uncomment these lines and replace with your values.
    # project_id = 'my-project'  # replace with your GCP project ID
    # location = 'us-central1'  # replace with the parent dataset's location
    # dataset_id = 'my-dataset'  # replace with the DICOM store's parent dataset ID
    # dicom_store_id = 'my-dicom-store'  # replace with the DICOM store's ID
    dicom_store_parent = "projects/{}/locations/{}/datasets/{}".format(
        project_id, location, dataset_id
    )

    request = (
        client.projects()
        .locations()
        .datasets()
        .dicomStores()
        .create(parent=dicom_store_parent, body={}, dicomStoreId=dicom_store_id)
    )

    response = request.execute()
    print(f"Created DICOM store: {dicom_store_id}")
    return response

存储 DICOM 实例

1. 将示例 DICOM 实例文件下载到您的机器。该文件包含去标识化的患者 X 光片。

   curl

   curl -O https://cloud.google.com/healthcare-api/docs/resources/dicom_00000001_000.dcm
   

   PowerShell

   Invoke-WebRequest -Uri "https://cloud.google.com/healthcare-api/docs/resources/dicom_00000001_000.dcm" -OutFile $pwd/dicom_00000001_000.dcm
   

2. 运行以下示例以存储 DICOM 实例。这些示例假设您从下载 DICOM 实例的同一目录运行代码。

   在运行示例之前，请根据需要取消注释并提供以下值：

   • 您在准备工作部分中创建或选择的 Google Cloud 项目的 ID 作为项目 ID
   • my-dataset 用于数据集 ID
   • us-central1 - 数据集位置
   • my-dicom-store（对于 DICOM 存储区 ID）
   • dicom_00000001_000.dcm：用于 DICOM 文件名

   Go

   在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Go 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Go API 参考文档。

   如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

   在 GitHub 上查看 反馈

   import (
   	"bytes"
   	"context"
   	"fmt"
   	"io"
   	"io/ioutil"
   
   	healthcare "google.golang.org/api/healthcare/v1"
   )
   
   // dicomWebStoreInstance stores the given dicomFile with the dicomWebPath.
   func dicomWebStoreInstance(w io.Writer, projectID, location, datasetID, dicomStoreID, dicomWebPath, dicomFile string) error {
   	ctx := context.Background()
   
   	dicomData, err := ioutil.ReadFile(dicomFile)
   	if err != nil {
   		return fmt.Errorf("ReadFile: %w", err)
   	}
   
   	healthcareService, err := healthcare.NewService(ctx)
   	if err != nil {
   		return fmt.Errorf("healthcare.NewService: %w", err)
   	}
   
   	storesService := healthcareService.Projects.Locations.Datasets.DicomStores
   
   	parent := fmt.Sprintf("projects/%s/locations/%s/datasets/%s/dicomStores/%s", projectID, location, datasetID, dicomStoreID)
   
   	call := storesService.StoreInstances(parent, dicomWebPath, bytes.NewReader(dicomData))
   	call.Header().Set("Content-Type", "application/dicom")
   	resp, err := call.Do()
   	if err != nil {
   		return fmt.Errorf("StoreInstances: %w", err)
   	}
   	defer resp.Body.Close()
   
   	respBytes, err := ioutil.ReadAll(resp.Body)
   	if err != nil {
   		return fmt.Errorf("could not read response: %w", err)
   	}
   
   	if resp.StatusCode > 299 {
   		return fmt.Errorf("StoreInstances: status %d %s: %s", resp.StatusCode, resp.Status, respBytes)
   	}
   	fmt.Fprintf(w, "%s", respBytes)
   	return nil
   }
   

   Java

   在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Java 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Java API 参考文档。

   如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

   在 GitHub 上查看 反馈

   import com.google.api.client.http.HttpRequestInitializer;
   import com.google.api.client.http.javanet.NetHttpTransport;
   import com.google.api.client.json.JsonFactory;
   import com.google.api.client.json.gson.GsonFactory;
   import com.google.api.services.healthcare.v1.CloudHealthcare;
   import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
   import com.google.auth.http.HttpCredentialsAdapter;
   import com.google.auth.oauth2.GoogleCredentials;
   import java.io.File;
   import java.io.IOException;
   import java.net.URISyntaxException;
   import java.nio.file.Files;
   import java.nio.file.Paths;
   import java.util.Collections;
   import org.apache.http.HttpEntity;
   import org.apache.http.HttpResponse;
   import org.apache.http.HttpStatus;
   import org.apache.http.client.HttpClient;
   import org.apache.http.client.methods.HttpUriRequest;
   import org.apache.http.client.methods.RequestBuilder;
   import org.apache.http.client.utils.URIBuilder;
   import org.apache.http.entity.ByteArrayEntity;
   import org.apache.http.impl.client.HttpClients;
   
   public class DicomWebStoreInstance {
     private static final String DICOM_NAME = "projects/%s/locations/%s/datasets/%s/dicomStores/%s";
     private static final JsonFactory JSON_FACTORY = new GsonFactory();
     private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();
   
     public static void dicomWebStoreInstance(String dicomStoreName, String filePath)
         throws IOException, URISyntaxException {
       // String dicomStoreName =
       //    String.format(
       //        DICOM_NAME, "your-project-id", "your-region-id", "your-dataset-id", "your-dicom-id");
       // String filePath = "path/to/file.dcm";
   
       // Initialize the client, which will be used to interact with the service.
       CloudHealthcare client = createClient();
   
       HttpClient httpClient = HttpClients.createDefault();
       String uri = String.format("%sv1/%s/dicomWeb/studies", client.getRootUrl(), dicomStoreName);
       URIBuilder uriBuilder = new URIBuilder(uri).setParameter("access_token", getAccessToken());
       // Load the data from file representing the study.
       File f = new File(filePath);
       byte[] dicomBytes = Files.readAllBytes(Paths.get(filePath));
       ByteArrayEntity requestEntity = new ByteArrayEntity(dicomBytes);
   
       HttpUriRequest request =
           RequestBuilder.post(uriBuilder.build())
               .setEntity(requestEntity)
               .addHeader("Content-Type", "application/dicom")
               .build();
   
       // Execute the request and process the results.
       HttpResponse response = httpClient.execute(request);
       HttpEntity responseEntity = response.getEntity();
       if (response.getStatusLine().getStatusCode() != HttpStatus.SC_OK) {
         System.err.print(
             String.format(
                 "Exception storing DICOM instance: %s\n", response.getStatusLine().toString()));
         responseEntity.writeTo(System.err);
         throw new RuntimeException();
       }
       System.out.println("DICOM instance stored: ");
       responseEntity.writeTo(System.out);
     }
   
     private static CloudHealthcare createClient() throws IOException {
       // Use Application Default Credentials (ADC) to authenticate the requests
       // For more information see https://cloud.google.com/docs/authentication/production
       GoogleCredentials credential =
           GoogleCredentials.getApplicationDefault()
               .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));
   
       // Create a HttpRequestInitializer, which will provide a baseline configuration to all requests.
       HttpRequestInitializer requestInitializer =
           request -> {
             new HttpCredentialsAdapter(credential).initialize(request);
             request.setConnectTimeout(60000); // 1 minute connect timeout
             request.setReadTimeout(60000); // 1 minute read timeout
           };
   
       // Build the client for interacting with the service.
       return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
           .setApplicationName("your-application-name")
           .build();
     }
   
     private static String getAccessToken() throws IOException {
       GoogleCredentials credential =
           GoogleCredentials.getApplicationDefault()
               .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));
   
       return credential.refreshAccessToken().getTokenValue();
     }
   }

   Node.js

   在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Node.js 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Node.js API 参考文档。

   如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

   在 GitHub 上查看 反馈

   const google = require('@googleapis/healthcare');
   const healthcare = google.healthcare({
     version: 'v1',
     auth: new google.auth.GoogleAuth({
       scopes: ['https://www.googleapis.com/auth/cloud-platform'],
     }),
   });
   const fs = require('fs');
   
   const dicomWebStoreInstance = async () => {
     // TODO(developer): uncomment these lines before running the sample
     // const cloudRegion = 'us-central1';
     // const projectId = 'adjective-noun-123';
     // const datasetId = 'my-dataset';
     // const dicomStoreId = 'my-dicom-store';
     // const dcmFile = 'file.dcm';
     const parent = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}/dicomStores/${dicomStoreId}`;
     const dicomWebPath = 'studies';
     // Use a stream because other types of reads overwrite the client's HTTP
     // headers and cause storeInstances to fail.
     const binaryData = fs.createReadStream(dcmFile);
     const request = {
       parent,
       dicomWebPath,
       requestBody: binaryData,
     };
   
     const instance =
       await healthcare.projects.locations.datasets.dicomStores.storeInstances(
         request,
         {
           headers: {
             'Content-Type': 'application/dicom',
             Accept: 'application/dicom+json',
           },
         }
       );
     console.log('Stored DICOM instance:\n', JSON.stringify(instance.data));
   };
   
   dicomWebStoreInstance();

   Python

   在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Python 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Python API 参考文档。

   如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

   在 GitHub 上查看 反馈

   def dicomweb_store_instance(project_id, location, dataset_id, dicom_store_id, dcm_file):
       """Handles the POST requests specified in the DICOMweb standard.
   
       See https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/healthcare/api-client/v1/dicom
       before running the sample."""
       # Imports Python's built-in "os" module
       import os
   
       # Imports the google.auth.transport.requests transport
       from google.auth.transport import requests
   
       # Imports a module to allow authentication using a service account
       from google.oauth2 import service_account
   
       # Gets credentials from the environment.
       credentials = service_account.Credentials.from_service_account_file(
           os.environ["GOOGLE_APPLICATION_CREDENTIALS"]
       )
       scoped_credentials = credentials.with_scopes(
           ["https://www.googleapis.com/auth/cloud-platform"]
       )
       # Creates a requests Session object with the credentials.
       session = requests.AuthorizedSession(scoped_credentials)
   
       # URL to the Cloud Healthcare API endpoint and version
       base_url = "https://healthcare.googleapis.com/v1"
   
       # TODO(developer): Uncomment these lines and replace with your values.
       # project_id = 'my-project'  # replace with your GCP project ID
       # location = 'us-central1'  # replace with the parent dataset's location
       # dataset_id = 'my-dataset'  # replace with the parent dataset's ID
       # dicom_store_id = 'my-dicom-store' # replace with the DICOM store ID
       # dcm_file = 'dicom000_0001.dcm'  # replace with a DICOM file
       url = f"{base_url}/projects/{project_id}/locations/{location}"
   
       dicomweb_path = "{}/datasets/{}/dicomStores/{}/dicomWeb/studies".format(
           url, dataset_id, dicom_store_id
       )
   
       with open(dcm_file, "rb") as dcm:
           dcm_content = dcm.read()
   
       # Sets required "application/dicom" header on the request
       headers = {"Content-Type": "application/dicom"}
   
       response = session.post(dicomweb_path, data=dcm_content, headers=headers)
       response.raise_for_status()
       print("Stored DICOM instance:")
       print(response.text)
       return response
   
   

查看 DICOM 实例元数据

运行以下示例以查看实例元数据。

在运行示例之前，请根据需要取消注释并提供以下值：

• 您在准备工作部分中创建或选择的 Google Cloud 项目的 ID 作为项目 ID
• my-dataset 用于数据集 ID
• us-central1 - 数据集位置
• my-dicom-store（对于 DICOM 存储区 ID）

Go

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Go 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Go API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

import (
	"context"
	"fmt"
	"io"
	"io/ioutil"

	healthcare "google.golang.org/api/healthcare/v1"
)

// dicomWebSearchInstances searches instances.
func dicomWebSearchInstances(w io.Writer, projectID, location, datasetID, dicomStoreID string) error {
	// projectID := "my-project"
	// location := "us-central1"
	// datasetID := "my-dataset"
	// dicomStoreID := "my-dicom-store"
	ctx := context.Background()

	healthcareService, err := healthcare.NewService(ctx)
	if err != nil {
		return fmt.Errorf("healthcare.NewService: %w", err)
	}

	storesService := healthcareService.Projects.Locations.Datasets.DicomStores

	parent := fmt.Sprintf("projects/%s/locations/%s/datasets/%s/dicomStores/%s", projectID, location, datasetID, dicomStoreID)

	resp, err := storesService.SearchForInstances(parent, "instances").Do()
	if err != nil {
		return fmt.Errorf("SearchForInstances: %w", err)
	}

	defer resp.Body.Close()

	respBytes, err := ioutil.ReadAll(resp.Body)
	if err != nil {
		return fmt.Errorf("ioutil.ReadAll: %w", err)
	}

	if resp.StatusCode > 299 {
		return fmt.Errorf("SearchForInstances: status %d %s: %s", resp.StatusCode, resp.Status, respBytes)
	}

	respString := string(respBytes)
	fmt.Fprintf(w, "Found instances: %s\n", respString)
	return nil
}

Java

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Java 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Java API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

import com.google.api.client.http.HttpRequestInitializer;
import com.google.api.client.http.HttpResponse;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.gson.GsonFactory;
import com.google.api.services.healthcare.v1.CloudHealthcare;
import com.google.api.services.healthcare.v1.CloudHealthcare.Projects.Locations.Datasets.DicomStores;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.IOException;
import java.util.Collections;

public class DicomWebSearchForInstances {
  private static final String DICOM_NAME = "projects/%s/locations/%s/datasets/%s/dicomStores/%s";
  private static final JsonFactory JSON_FACTORY = new GsonFactory();
  private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();

  public static void dicomWebSearchForInstances(String dicomStoreName) throws IOException {
    // String dicomStoreName =
    //    String.format(
    //        DICOM_NAME, "your-project-id", "your-region-id", "your-dataset-id", "your-dicom-id");

    // Initialize the client, which will be used to interact with the service.
    CloudHealthcare client = createClient();

    // Create request and configure any parameters.
    DicomStores.SearchForInstances request =
        client
            .projects()
            .locations()
            .datasets()
            .dicomStores()
            .searchForInstances(dicomStoreName, "instances");

    // Execute the request and process the results.
    HttpResponse response = request.executeUnparsed();
    System.out.println("Dicom store instances found: \n" + response.toString());
  }

  private static CloudHealthcare createClient() throws IOException {
    // Use Application Default Credentials (ADC) to authenticate the requests
    // For more information see https://cloud.google.com/docs/authentication/production
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    // Create a HttpRequestInitializer, which will provide a baseline configuration to all requests.
    HttpRequestInitializer requestInitializer =
        request -> {
          new HttpCredentialsAdapter(credential).initialize(request);
          request.setConnectTimeout(60000); // 1 minute connect timeout
          request.setReadTimeout(60000); // 1 minute read timeout
        };

    // Build the client for interacting with the service.
    return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
        .setApplicationName("your-application-name")
        .build();
  }
}

Node.js

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Node.js 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Node.js API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

const google = require('@googleapis/healthcare');
const healthcare = google.healthcare({
  version: 'v1',
  auth: new google.auth.GoogleAuth({
    scopes: ['https://www.googleapis.com/auth/cloud-platform'],
  }),
});

const dicomWebSearchForInstances = async () => {
  // TODO(developer): uncomment these lines before running the sample
  // const cloudRegion = 'us-central1';
  // const projectId = 'adjective-noun-123';
  // const datasetId = 'my-dataset';
  // const dicomStoreId = 'my-dicom-store';
  const parent = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}/dicomStores/${dicomStoreId}`;
  const dicomWebPath = 'instances';
  const request = {parent, dicomWebPath};

  const instances =
    await healthcare.projects.locations.datasets.dicomStores.searchForInstances(
      request,
      {
        headers: {Accept: 'application/dicom+json,multipart/related'},
      }
    );
  console.log(`Found ${instances.data.length} instances:`);
  console.log(JSON.stringify(instances.data));
};

dicomWebSearchForInstances();

Python

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Python 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Python API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

def dicomweb_search_instance(project_id, location, dataset_id, dicom_store_id):
    """Handles the GET requests specified in DICOMweb standard.

    See https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/healthcare/api-client/v1/dicom
    before running the sample."""
    # Imports Python's built-in "os" module
    import os

    # Imports the google.auth.transport.requests transport
    from google.auth.transport import requests

    # Imports a module to allow authentication using a service account
    from google.oauth2 import service_account

    # Gets credentials from the environment.
    credentials = service_account.Credentials.from_service_account_file(
        os.environ["GOOGLE_APPLICATION_CREDENTIALS"]
    )
    scoped_credentials = credentials.with_scopes(
        ["https://www.googleapis.com/auth/cloud-platform"]
    )
    # Creates a requests Session object with the credentials.
    session = requests.AuthorizedSession(scoped_credentials)

    # URL to the Cloud Healthcare API endpoint and version
    base_url = "https://healthcare.googleapis.com/v1"

    # TODO(developer): Uncomment these lines and replace with your values.
    # project_id = 'my-project'  # replace with your GCP project ID
    # location = 'us-central1'  # replace with the parent dataset's location
    # dataset_id = 'my-dataset'  # replace with the parent dataset's ID
    # dicom_store_id = 'my-dicom-store' # replace with the DICOM store ID
    url = f"{base_url}/projects/{project_id}/locations/{location}"

    dicomweb_path = "{}/datasets/{}/dicomStores/{}/dicomWeb/instances".format(
        url, dataset_id, dicom_store_id
    )

    # Sets required application/dicom+json; charset=utf-8 header on the request
    headers = {"Content-Type": "application/dicom+json; charset=utf-8"}

    response = session.get(dicomweb_path, headers=headers)
    response.raise_for_status()

    instances = response.json()

    print("Instances:")
    print(json.dumps(instances, indent=2))

    return instances

在 Cloud Healthcare API 中存储和查看 DICOM 实例后，请继续清理，以免因本页面上使用的资源导致您的 Google Cloud 帐号产生费用。

如需详细了解如何使用 DICOM 数据，请参阅后续步骤。

存储和查看 FHIR 资源

本部分介绍了如何完成以下任务：

1. 创建 FHIR 存储区。
2. 在 FHIR 存储区中存储 FHIR 资源。
3. 查看 FHIR 资源的数据。

Cloud Healthcare API 实现了 FHIR 规范标准，用于存储和访问 FHIR 数据。

创建 FHIR 存储区

FHIR 存储区位于数据集内，用于存储 FHIR 资源。请运行以下示例以创建 FHIR 存储区。

在运行示例之前，请根据需要取消注释并提供以下值：

• 您在准备工作部分中创建或选择的 Google Cloud 项目的 ID 作为项目 ID
• my-dataset 用于数据集 ID
• us-central1 - 数据集位置
• my-fhir-store 用于 FHIR 存储区 ID

Go

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Go 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Go API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

import (
	"context"
	"fmt"
	"io"

	healthcare "google.golang.org/api/healthcare/v1"
)

// createFHIRStore creates an FHIR store.
func createFHIRStore(w io.Writer, projectID, location, datasetID, fhirStoreID string) error {
	ctx := context.Background()

	healthcareService, err := healthcare.NewService(ctx)
	if err != nil {
		return fmt.Errorf("healthcare.NewService: %w", err)
	}

	storesService := healthcareService.Projects.Locations.Datasets.FhirStores

	parent := fmt.Sprintf("projects/%s/locations/%s/datasets/%s", projectID, location, datasetID)
	version := "R4"

	resp, err := storesService.Create(parent, &healthcare.FhirStore{Version: version}).FhirStoreId(fhirStoreID).Do()
	if err != nil {
		return fmt.Errorf("Create: %w", err)
	}

	fmt.Fprintf(w, "Created FHIR store: %q\n", resp.Name)
	return nil
}

Java

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Java 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Java API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

import com.google.api.client.http.HttpRequestInitializer;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.gson.GsonFactory;
import com.google.api.services.healthcare.v1.CloudHealthcare;
import com.google.api.services.healthcare.v1.CloudHealthcare.Projects.Locations.Datasets.FhirStores;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.api.services.healthcare.v1.model.FhirStore;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.IOException;
import java.util.Collections;
import java.util.HashMap;
import java.util.Map;

public class FhirStoreCreate {
  private static final String DATASET_NAME = "projects/%s/locations/%s/datasets/%s";
  private static final JsonFactory JSON_FACTORY = new GsonFactory();
  private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();

  public static void fhirStoreCreate(String datasetName, String fhirStoreId) throws IOException {
    // String datasetName =
    //     String.format(DATASET_NAME, "your-project-id", "your-region-id", "your-dataset-id");
    // String fhirStoreId = "your-fhir-id"

    // Initialize the client, which will be used to interact with the service.
    CloudHealthcare client = createClient();

    // Configure the FhirStore to be created.
    Map<String, String> labels = new HashMap<>();
    labels.put("key1", "value1");
    labels.put("key2", "value2");
    String version = "STU3";
    FhirStore content = new FhirStore().setLabels(labels).setVersion(version);

    // Create request and configure any parameters.
    FhirStores.Create request =
        client
            .projects()
            .locations()
            .datasets()
            .fhirStores()
            .create(datasetName, content)
            .setFhirStoreId(fhirStoreId);

    // Execute the request and process the results.
    FhirStore response = request.execute();
    System.out.println("FHIR store created: " + response.toPrettyString());
  }

  private static CloudHealthcare createClient() throws IOException {
    // Use Application Default Credentials (ADC) to authenticate the requests
    // For more information see https://cloud.google.com/docs/authentication/production
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    // Create a HttpRequestInitializer, which will provide a baseline configuration to all requests.
    HttpRequestInitializer requestInitializer =
        request -> {
          new HttpCredentialsAdapter(credential).initialize(request);
          request.setConnectTimeout(60000); // 1 minute connect timeout
          request.setReadTimeout(60000); // 1 minute read timeout
        };

    // Build the client for interacting with the service.
    return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
        .setApplicationName("your-application-name")
        .build();
  }
}

Node.js

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Node.js 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Node.js API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

const google = require('@googleapis/healthcare');
const healthcare = google.healthcare({
  version: 'v1',
  auth: new google.auth.GoogleAuth({
    scopes: ['https://www.googleapis.com/auth/cloud-platform'],
  }),
});

const createFhirStore = async () => {
  // TODO(developer): uncomment these lines before running the sample
  // const cloudRegion = 'us-central1';
  // const projectId = 'adjective-noun-123';
  // const datasetId = 'my-dataset';
  // const fhirStoreId = 'my-fhir-store';
  // const version = 'STU3';
  const parent = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}`;
  const request = {
    parent,
    fhirStoreId,
    resource: {
      version,
    },
  };

  await healthcare.projects.locations.datasets.fhirStores.create(request);
  console.log(`Created FHIR store: ${fhirStoreId}`);
};

createFhirStore();

Python

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Python 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Python API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

def create_fhir_store(project_id, location, dataset_id, fhir_store_id, version):
    """Creates a new FHIR store within the parent dataset.

    See https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/healthcare/api-client/v1/fhir
    before running the sample."""
    # Imports the Google API Discovery Service.
    from googleapiclient import discovery

    api_version = "v1"
    service_name = "healthcare"
    # Returns an authorized API client by discovering the Healthcare API
    # and using GOOGLE_APPLICATION_CREDENTIALS environment variable.
    client = discovery.build(service_name, api_version)

    # TODO(developer): Uncomment these lines and replace with your values.
    # project_id = 'my-project'  # replace with your GCP project ID
    # location = 'us-central1'  # replace with the parent dataset's location
    # dataset_id = 'my-dataset'  # replace with the FHIR store's parent dataset ID
    # fhir_store_id = 'my-fhir-store'  # replace with the FHIR store's ID
    # version = 'R4'  # replace with the FHIR store version
    fhir_store_parent = "projects/{}/locations/{}/datasets/{}".format(
        project_id, location, dataset_id
    )

    body = {"version": version}

    request = (
        client.projects()
        .locations()
        .datasets()
        .fhirStores()
        .create(parent=fhir_store_parent, body=body, fhirStoreId=fhir_store_id)
    )

    response = request.execute()
    print(f"Created FHIR store: {fhir_store_id}")

    return response

存储 FHIR 资源

运行以下示例以存储患者资源。

在运行示例之前，请根据需要取消注释并提供以下值：

• 您在准备工作部分中创建或选择的 Google Cloud 项目的 ID 作为项目 ID
• my-dataset 用于数据集 ID
• us-central1 - 数据集位置
• my-fhir-store 用于 FHIR 存储区 ID

Go

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Go 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Go API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

import (
	"bytes"
	"context"
	"encoding/json"
	"fmt"
	"io"
	"io/ioutil"

	healthcare "google.golang.org/api/healthcare/v1"
)

// createFHIRResource creates an FHIR resource.
func createFHIRResource(w io.Writer, projectID, location, datasetID, fhirStoreID, resourceType string) error {
	ctx := context.Background()

	healthcareService, err := healthcare.NewService(ctx)
	if err != nil {
		return fmt.Errorf("healthcare.NewService: %w", err)
	}

	fhirService := healthcareService.Projects.Locations.Datasets.FhirStores.Fhir

	payload := map[string]interface{}{
		"resourceType": resourceType,
		"language":     "FR",
	}
	jsonPayload, err := json.Marshal(payload)
	if err != nil {
		return fmt.Errorf("json.Encode: %w", err)
	}

	parent := fmt.Sprintf("projects/%s/locations/%s/datasets/%s/fhirStores/%s", projectID, location, datasetID, fhirStoreID)

	call := fhirService.Create(parent, resourceType, bytes.NewReader(jsonPayload))
	call.Header().Set("Content-Type", "application/fhir+json;charset=utf-8")
	resp, err := call.Do()
	if err != nil {
		return fmt.Errorf("Create: %w", err)
	}
	defer resp.Body.Close()

	respBytes, err := ioutil.ReadAll(resp.Body)
	if err != nil {
		return fmt.Errorf("could not read response: %w", err)
	}

	if resp.StatusCode > 299 {
		return fmt.Errorf("Create: status %d %s: %s", resp.StatusCode, resp.Status, respBytes)
	}
	fmt.Fprintf(w, "%s", respBytes)

	return nil
}

Java

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Java 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Java API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

import com.google.api.client.http.HttpRequestInitializer;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.gson.GsonFactory;
import com.google.api.services.healthcare.v1.CloudHealthcare;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.IOException;
import java.net.URISyntaxException;
import java.util.Collections;
import org.apache.http.HttpEntity;
import org.apache.http.HttpResponse;
import org.apache.http.HttpStatus;
import org.apache.http.client.HttpClient;
import org.apache.http.client.methods.HttpUriRequest;
import org.apache.http.client.methods.RequestBuilder;
import org.apache.http.client.utils.URIBuilder;
import org.apache.http.entity.StringEntity;
import org.apache.http.impl.client.HttpClients;

public class FhirResourceCreate {
  private static final String FHIR_NAME = "projects/%s/locations/%s/datasets/%s/fhirStores/%s";
  private static final JsonFactory JSON_FACTORY = new GsonFactory();
  private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();

  public static void fhirResourceCreate(String fhirStoreName, String resourceType)
      throws IOException, URISyntaxException {
    // String fhirStoreName =
    //    String.format(
    //        FHIR_NAME, "your-project-id", "your-region-id", "your-dataset-id", "your-fhir-id");
    // String resourceType = "Patient";

    // Initialize the client, which will be used to interact with the service.
    CloudHealthcare client = createClient();
    HttpClient httpClient = HttpClients.createDefault();
    String uri = String.format("%sv1/%s/fhir/%s", client.getRootUrl(), fhirStoreName, resourceType);
    URIBuilder uriBuilder = new URIBuilder(uri).setParameter("access_token", getAccessToken());
    StringEntity requestEntity =
        new StringEntity("{\"resourceType\": \"" + resourceType + "\", \"language\": \"en\"}");

    HttpUriRequest request =
        RequestBuilder.post()
            .setUri(uriBuilder.build())
            .setEntity(requestEntity)
            .addHeader("Content-Type", "application/fhir+json")
            .addHeader("Accept-Charset", "utf-8")
            .addHeader("Accept", "application/fhir+json; charset=utf-8")
            .build();

    // Execute the request and process the results.
    HttpResponse response = httpClient.execute(request);
    HttpEntity responseEntity = response.getEntity();
    if (response.getStatusLine().getStatusCode() != HttpStatus.SC_CREATED) {
      System.err.print(
          String.format(
              "Exception creating FHIR resource: %s\n", response.getStatusLine().toString()));
      responseEntity.writeTo(System.err);
      throw new RuntimeException();
    }
    System.out.print("FHIR resource created: ");
    responseEntity.writeTo(System.out);
  }

  private static CloudHealthcare createClient() throws IOException {
    // Use Application Default Credentials (ADC) to authenticate the requests
    // For more information see https://cloud.google.com/docs/authentication/production
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    // Create a HttpRequestInitializer, which will provide a baseline configuration to all requests.
    HttpRequestInitializer requestInitializer =
        request -> {
          new HttpCredentialsAdapter(credential).initialize(request);
          request.setConnectTimeout(60000); // 1 minute connect timeout
          request.setReadTimeout(60000); // 1 minute read timeout
        };

    // Build the client for interacting with the service.
    return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
        .setApplicationName("your-application-name")
        .build();
  }

  private static String getAccessToken() throws IOException {
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    return credential.refreshAccessToken().getTokenValue();
  }
}

Node.js

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Node.js 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Node.js API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

const google = require('@googleapis/healthcare');
const healthcare = google.healthcare({
  version: 'v1',
  auth: new google.auth.GoogleAuth({
    scopes: ['https://www.googleapis.com/auth/cloud-platform'],
  }),
  headers: {'Content-Type': 'application/fhir+json'},
});

async function createFhirResource() {
  // Replace the following body with the data for the resource you want to
  // create.
  const body = {
    name: [{use: 'official', family: 'Smith', given: ['Darcy']}],
    gender: 'female',
    birthDate: '1970-01-01',
    resourceType: 'Patient',
  };

  // TODO(developer): uncomment these lines before running the sample
  // const cloudRegion = 'us-central1';
  // const projectId = 'adjective-noun-123';
  // const datasetId = 'my-dataset';
  // const fhirStoreId = 'my-fhir-store';
  // const resourceType = 'Patient';
  const parent = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}/fhirStores/${fhirStoreId}`;

  const request = {parent, type: resourceType, requestBody: body};
  const resource =
    await healthcare.projects.locations.datasets.fhirStores.fhir.create(
      request
    );
  console.log(`Created FHIR resource with ID ${resource.data.id}`);
  console.log(resource.data);
}

createFhirResource();

Python

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Python 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Python API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

# Imports the types Dict and Any for runtime type hints.
from typing import Any, Dict  # noqa: E402

def create_patient(
    project_id: str,
    location: str,
    dataset_id: str,
    fhir_store_id: str,
) -> Dict[str, Any]:
    """Creates a new Patient resource in a FHIR store.

    See
    https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/healthcare/api-client/v1/fhir
    before running the sample.
    See
    https://googleapis.github.io/google-api-python-client/docs/dyn/healthcare_v1.projects.locations.datasets.fhirStores.fhir.html#create
    for the Python API reference.

    Args:
      project_id: The project ID or project number of the Cloud project you want
        to use.
      location: The name of the parent dataset's location.
      dataset_id: The name of the parent dataset.
      fhir_store_id: The name of the FHIR store that holds the Patient resource.

    Returns:
      A dict representing the created Patient resource.
    """
    # Imports the Google API Discovery Service.
    from googleapiclient import discovery

    api_version = "v1"
    service_name = "healthcare"

    # Returns an authorized API client by discovering the Healthcare API
    # and using GOOGLE_APPLICATION_CREDENTIALS environment variable.
    client = discovery.build(service_name, api_version)

    # TODO(developer): Uncomment these lines and replace with your values.
    # project_id = 'my-project'
    # location = 'us-central1'
    # dataset_id = 'my-dataset'
    # fhir_store_id = 'my-fhir-store'
    fhir_store_parent = (
        f"projects/{project_id}/locations/{location}/datasets/{dataset_id}"
    )
    fhir_store_name = f"{fhir_store_parent}/fhirStores/{fhir_store_id}"

    patient_body = {
        "name": [{"use": "official", "family": "Smith", "given": ["Darcy"]}],
        "gender": "female",
        "birthDate": "1970-01-01",
        "resourceType": "Patient",
    }

    request = (
        client.projects()
        .locations()
        .datasets()
        .fhirStores()
        .fhir()
        .create(parent=fhir_store_name, type="Patient", body=patient_body)
    )
    # Sets required application/fhir+json header on the googleapiclient.http.HttpRequest.
    request.headers["content-type"] = "application/fhir+json;charset=utf-8"
    response = request.execute()

    print(f"Created Patient resource with ID {response['id']}")
    return response

查看 FHIR 资源内容

运行以下示例，查看有关患者资源的信息。

在运行示例之前，请根据需要取消注释并提供以下值：

• 您在准备工作部分中创建或选择的 Google Cloud 项目的 ID 作为项目 ID
• my-dataset 用于数据集 ID
• us-central1 - 数据集位置
• my-fhir-store 用于 FHIR 存储区 ID
• FHIR 资源类型的 Patient

Java

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Java 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Java API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

import com.google.api.client.http.HttpRequestInitializer;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.gson.GsonFactory;
import com.google.api.services.healthcare.v1.CloudHealthcare;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.IOException;
import java.net.URISyntaxException;
import java.util.Collections;
import org.apache.http.HttpEntity;
import org.apache.http.HttpResponse;
import org.apache.http.HttpStatus;
import org.apache.http.client.HttpClient;
import org.apache.http.client.methods.HttpUriRequest;
import org.apache.http.client.methods.RequestBuilder;
import org.apache.http.client.utils.URIBuilder;
import org.apache.http.entity.StringEntity;
import org.apache.http.impl.client.HttpClients;

public class FhirResourceSearchGet {
  private static final String FHIR_NAME =
      "projects/%s/locations/%s/datasets/%s/fhirStores/%s/fhir/%s";
  // The endpoint URL for the Healthcare API. Required for HttpClient.
  private static final String API_ENDPOINT = "https://healthcare.googleapis.com";
  private static final JsonFactory JSON_FACTORY = new GsonFactory();
  private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();

  public static void fhirResourceSearchGet(String resourceName)
      throws IOException, URISyntaxException {
    // String resourceName =
    //    String.format(
    //        FHIR_NAME, "project-id", "region-id", "dataset-id", "fhir-store-id");
    // String resourceType = "Patient";

    // Instantiate the client, which will be used to interact with the service.
    HttpClient httpClient = HttpClients.createDefault();
    String uri = String.format("%s/v1/%s", API_ENDPOINT, resourceName);
    URIBuilder uriBuilder = new URIBuilder(uri).setParameter("access_token", getAccessToken());
    // To set additional parameters for search filtering, add them to the URIBuilder. For
    // example, to search for a Patient with the family name "Smith", specify the following:
    // uriBuilder.setParameter("family:exact", "Smith");

    HttpUriRequest request =
        RequestBuilder.get()
            .setUri(uriBuilder.build())
            .build();

    // Execute the request and process the results.
    HttpResponse response = httpClient.execute(request);
    HttpEntity responseEntity = response.getEntity();
    if (response.getStatusLine().getStatusCode() != HttpStatus.SC_OK) {
      System.err.print(
          String.format(
              "Exception searching GET FHIR resources: %s\n", response.getStatusLine().toString()));
      responseEntity.writeTo(System.err);
      throw new RuntimeException();
    }
    System.out.println("FHIR resource GET search results: ");
    responseEntity.writeTo(System.out);
  }

  private static CloudHealthcare createClient() throws IOException {
    // Use Application Default Credentials (ADC) to authenticate the requests
    // For more information see https://cloud.google.com/docs/authentication/production
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));
    // Create a HttpRequestInitializer, which will provide a baseline configuration to all requests.
    HttpRequestInitializer requestInitializer =
        request -> {
          new HttpCredentialsAdapter(credential).initialize(request);
          request.setConnectTimeout(60000); // 1 minute connect timeout
          request.setReadTimeout(60000); // 1 minute read timeout
        };
    // Build the client for interacting with the service.
    return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
        .setApplicationName("your-application-name")
        .build();
  }

  private static String getAccessToken() throws IOException {
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    return credential.refreshAccessToken().getTokenValue();
  }
}

Node.js

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Node.js 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Node.js API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

// Import google-auth-library for authentication.
const {GoogleAuth} = require('google-auth-library');

const searchFhirResourcesGet = async () => {
  const auth = new GoogleAuth({
    scopes: 'https://www.googleapis.com/auth/cloud-platform',
  });
  // TODO(developer): uncomment these lines before running the sample
  // const cloudRegion = 'us-central1';
  // const projectId = 'adjective-noun-123';
  // const datasetId = 'my-dataset';
  // const fhirStoreId = 'my-fhir-store';
  // const resourceType = 'Patient';
  const url = `https://healthcare.googleapis.com/v1/projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}/fhirStores/${fhirStoreId}/fhir/${resourceType}`;

  const params = {};
  // Specify search filters in a params object. For example, to filter on a
  // Patient with the last name "Smith", set resourceType to "Patient" and
  // specify the following params:
  // params = {'family:exact' : 'Smith'};
  const client = await auth.getClient();
  const response = await client.request({url, method: 'GET', params});
  const resources = response.data.entry;
  console.log(`Resources found: ${resources.length}`);
  console.log(JSON.stringify(resources, null, 2));
};

searchFhirResourcesGet();

Python

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Python 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Python API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

def search_resources_get(
    project_id,
    location,
    dataset_id,
    fhir_store_id,
    resource_type,
):
    """
    Uses the searchResources GET method to search for resources in the given FHIR store.

    See https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/healthcare/api-client/v1/fhir
    before running the sample."""
    # Imports Python's built-in "os" module
    import os

    # Imports the google.auth.transport.requests transport
    from google.auth.transport import requests

    # Imports a module to allow authentication using a service account
    from google.oauth2 import service_account

    # Gets credentials from the environment.
    credentials = service_account.Credentials.from_service_account_file(
        os.environ["GOOGLE_APPLICATION_CREDENTIALS"]
    )
    scoped_credentials = credentials.with_scopes(
        ["https://www.googleapis.com/auth/cloud-platform"]
    )
    # Creates a requests Session object with the credentials.
    session = requests.AuthorizedSession(scoped_credentials)

    # URL to the Cloud Healthcare API endpoint and version
    base_url = "https://healthcare.googleapis.com/v1"

    # TODO(developer): Uncomment these lines and replace with your values.
    # project_id = 'my-project'  # replace with your GCP project ID
    # location = 'us-central1'  # replace with the parent dataset's location
    # dataset_id = 'my-dataset'  # replace with the parent dataset's ID
    # fhir_store_id = 'my-fhir-store' # replace with the FHIR store ID
    # resource_type = 'Patient'  # replace with the FHIR resource type
    url = f"{base_url}/projects/{project_id}/locations/{location}"

    resource_path = "{}/datasets/{}/fhirStores/{}/fhir/{}".format(
        url, dataset_id, fhir_store_id, resource_type
    )

    response = session.get(resource_path)
    response.raise_for_status()

    resources = response.json()

    print(
        "Using GET request, found a total of {} {} resources:".format(
            resources["total"], resource_type
        )
    )
    print(json.dumps(resources, indent=2))

    return resources

在 Cloud Healthcare API 中存储和查看 FHIR 资源后，请继续清理，以免因此页面中使用的资源向您的 Google Cloud 帐号收取费用。

如需详细了解如何使用 FHIR 数据，请参阅后续步骤。

存储和查看 HL7v2 消息

本部分介绍了如何完成以下任务：

1. 创建 HL7v2 存储区
2. 将 HL7v2 消息存储在 HL7v2 存储区中。
3. 查看 HL7v2 消息的数据。

Cloud Healthcare API 中的 HL7v2 实现符合 HL7v2 标准。

创建 HL7v2 存储区

HL7v2 存储区位于数据集内，用于存储 HL7v2 数据。请运行以下示例以创建 HL7v2 存储区。

在运行示例之前，请根据需要取消注释并提供以下值：

• 您在准备工作部分中创建或选择的 Google Cloud 项目的 ID 作为项目 ID
• my-dataset 用于数据集 ID
• us-central1 - 数据集位置
• my-hl7v2-store（适用于 HL7v2 存储区 ID）

Go

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Go 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Go API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

import (
	"context"
	"fmt"
	"io"

	healthcare "google.golang.org/api/healthcare/v1"
)

// createHL7V2Store creates an HL7V2 store.
func createHL7V2Store(w io.Writer, projectID, location, datasetID, hl7V2StoreID string) error {
	ctx := context.Background()

	healthcareService, err := healthcare.NewService(ctx)
	if err != nil {
		return fmt.Errorf("healthcare.NewService: %w", err)
	}

	storesService := healthcareService.Projects.Locations.Datasets.Hl7V2Stores

	// Set the HL7v2 store parser version to V3.
	store := &healthcare.Hl7V2Store{ParserConfig: &healthcare.ParserConfig{Version: "V3"}}
	parent := fmt.Sprintf("projects/%s/locations/%s/datasets/%s", projectID, location, datasetID)

	resp, err := storesService.Create(parent, store).Hl7V2StoreId(hl7V2StoreID).Do()
	if err != nil {
		return fmt.Errorf("Create: %w", err)
	}

	fmt.Fprintf(w, "Created HL7V2 store: %q\n", resp.Name)
	return nil
}

Java

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Java 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Java API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

import com.google.api.client.http.HttpRequestInitializer;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.gson.GsonFactory;
import com.google.api.services.healthcare.v1.CloudHealthcare;
import com.google.api.services.healthcare.v1.CloudHealthcare.Projects.Locations.Datasets.Hl7V2Stores;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.api.services.healthcare.v1.model.Hl7V2Store;
import com.google.api.services.healthcare.v1.model.ParserConfig;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.IOException;
import java.util.Collections;
import java.util.HashMap;
import java.util.Map;

public class Hl7v2StoreCreate {
  private static final String DATASET_NAME = "projects/%s/locations/%s/datasets/%s";
  private static final JsonFactory JSON_FACTORY = new GsonFactory();
  private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();

  public static void hl7v2StoreCreate(String datasetName, String hl7v2StoreId) throws IOException {
    // String datasetName =
    // String.format(DATASET_NAME, "your-project-id", "your-region-id",
    // "your-dataset-id");
    // String hl7v2StoreId = "your-hl7v25-id"

    // Initialize the client, which will be used to interact with the service.
    CloudHealthcare client = createClient();

    // Configure the store to be created.
    Map<String, String> labels = new HashMap<>();
    labels.put("key1", "value1");
    labels.put("key2", "value2");
    Hl7V2Store content =
        new Hl7V2Store().setLabels(labels).setParserConfig(new ParserConfig().setVersion("V3"));

    // Create request and configure any parameters.
    Hl7V2Stores.Create request = client
        .projects()
        .locations()
        .datasets()
        .hl7V2Stores()
        .create(datasetName, content)
        .setHl7V2StoreId(hl7v2StoreId);

    // Execute the request and process the results.
    Hl7V2Store response = request.execute();
    System.out.println("Hl7V2Store store created: " + response.toPrettyString());
  }

  private static CloudHealthcare createClient() throws IOException {
    // Use Application Default Credentials (ADC) to authenticate the requests
    // For more information see
    // https://cloud.google.com/docs/authentication/production
    GoogleCredentials credential = GoogleCredentials.getApplicationDefault()
        .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    // Create a HttpRequestInitializer, which will provide a baseline configuration
    // to all requests.
    HttpRequestInitializer requestInitializer = request -> {
      new HttpCredentialsAdapter(credential).initialize(request);
      request.setConnectTimeout(60000); // 1 minute connect timeout
      request.setReadTimeout(60000); // 1 minute read timeout
    };

    // Build the client for interacting with the service.
    return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
        .setApplicationName("your-application-name")
        .build();
  }
}

Node.js

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Node.js 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Node.js API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

const google = require('@googleapis/healthcare');
const healthcare = google.healthcare({
  version: 'v1',
  auth: new google.auth.GoogleAuth({
    scopes: ['https://www.googleapis.com/auth/cloud-platform'],
  }),
});

const createHl7v2Store = async () => {
  // TODO(developer): uncomment these lines before running the sample
  // const cloudRegion = 'us-central1';
  // const projectId = 'adjective-noun-123';
  // const datasetId = 'my-dataset';
  // const hl7v2StoreId = 'my-hl7v2-store';
  const parent = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}`;
  const request = {
    parent,
    hl7V2StoreId: hl7v2StoreId,
    resource: {
      parserConfig: {
        version: 'V3',
      },
    },
  };

  await healthcare.projects.locations.datasets.hl7V2Stores.create(request);
  console.log(`Created HL7v2 store: ${hl7v2StoreId}`);
};

createHl7v2Store();

Python

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Python 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Python API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

def create_hl7v2_store(project_id, location, dataset_id, hl7v2_store_id):
    """Creates a new HL7v2 store within the parent dataset.
    See https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/healthcare/api-client/v1/hl7v2
    before running the sample."""
    # Imports the Google API Discovery Service.
    from googleapiclient import discovery

    api_version = "v1"
    service_name = "healthcare"
    # Returns an authorized API client by discovering the Healthcare API
    # and using GOOGLE_APPLICATION_CREDENTIALS environment variable.
    client = discovery.build(service_name, api_version)

    # TODO(developer): Uncomment these lines and replace with your values.
    # project_id = 'my-project'  # replace with your GCP project ID
    # location = 'us-central1'  # replace with the parent dataset's location
    # dataset_id = 'my-dataset'  # replace with the HL7v2 store's parent dataset ID
    # hl7v2_store_id = 'my-hl7v2-store'  # replace with the HL7v2 store's ID
    hl7v2_store_parent = "projects/{}/locations/{}/datasets/{}".format(
        project_id, location, dataset_id
    )

    # Use the V3 parser. Immutable after HL7v2 store creation.
    body = {"parserConfig": {"version": "V3"}}

    request = (
        client.projects()
        .locations()
        .datasets()
        .hl7V2Stores()
        .create(parent=hl7v2_store_parent, body=body, hl7V2StoreId=hl7v2_store_id)
    )

    response = request.execute()
    print(f"Created HL7v2 store: {hl7v2_store_id}")
    return response

创建 HL7v2 消息

1. 将示例 HL7v2 消息文件下载到您的机器上：

   curl

   curl -O https://cloud.google.com/healthcare-api/docs/resources/hl7v2-sample.json
   

   PowerShell

   Invoke-WebRequest -Uri "https://cloud.google.com/healthcare-api/docs/resources/hl7v2-sample.json" -OutFile $pwd/hl7v2-sample.json
   

   HL7v2 消息包含以下基本信息，它采用 base-64 编码存放在示例文件的 data 字段中：

   MSH|^~\&|A|SEND_FACILITY|A|A|20180101000000||TYPE^A|20180101000000|T|0.0|||AA||00|ASCII
   EVN|A00|20180101040000
   PID||14^111^^^^MRN|11111111^^^^MRN~1111111111^^^^ORGNMBR
   

2. 运行以下示例以存储 HL7v2 消息。 这些示例假设您从下载 HL7v2 消息的目录运行代码。

   在运行示例之前，请根据需要取消注释并提供以下值：

   • 您在准备工作部分中创建或选择的 Google Cloud 项目的 ID 作为项目 ID
   • my-dataset 用于数据集 ID
   • us-central1 - 数据集位置
   • my-hl7v2-store（适用于 HL7v2 存储区 ID）
   • hl7v2-sample.json（用于 HL7v2 消息文件名）

   Go

   在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Go 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Go API 参考文档。

   如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

   在 GitHub 上查看 反馈

   import (
   	"context"
   	"encoding/base64"
   	"fmt"
   	"io"
   	"io/ioutil"
   
   	healthcare "google.golang.org/api/healthcare/v1"
   )
   
   // ingestHL7V2Message ingests an HL7V2 message.
   func ingestHL7V2Message(w io.Writer, projectID, location, datasetID, hl7V2StoreID, messageFile string) error {
   	ctx := context.Background()
   
   	hl7v2message, err := ioutil.ReadFile(messageFile)
   	if err != nil {
   		return fmt.Errorf("ReadFile: %w", err)
   	}
   
   	healthcareService, err := healthcare.NewService(ctx)
   	if err != nil {
   		return fmt.Errorf("healthcare.NewService: %w", err)
   	}
   
   	messagesService := healthcareService.Projects.Locations.Datasets.Hl7V2Stores.Messages
   
   	req := &healthcare.IngestMessageRequest{
   		Message: &healthcare.Message{
   			Data: base64.StdEncoding.EncodeToString(hl7v2message),
   		},
   	}
   	parent := fmt.Sprintf("projects/%s/locations/%s/datasets/%s/hl7V2Stores/%s", projectID, location, datasetID, hl7V2StoreID)
   
   	resp, err := messagesService.Ingest(parent, req).Do()
   	if err != nil {
   		return fmt.Errorf("Create: %w", err)
   	}
   
   	fmt.Fprintf(w, "Ingested HL7V2 message: %q\n", resp.Message.Name)
   	return nil
   }
   

   Java

   在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Java 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Java API 参考文档。

   如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

   在 GitHub 上查看 反馈

   import com.google.api.client.http.HttpRequestInitializer;
   import com.google.api.client.http.javanet.NetHttpTransport;
   import com.google.api.client.json.JsonFactory;
   import com.google.api.client.json.gson.GsonFactory;
   import com.google.api.services.healthcare.v1.CloudHealthcare;
   import com.google.api.services.healthcare.v1.CloudHealthcare.Projects.Locations.Datasets.Hl7V2Stores.Messages;
   import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
   import com.google.api.services.healthcare.v1.model.IngestMessageRequest;
   import com.google.api.services.healthcare.v1.model.IngestMessageResponse;
   import com.google.api.services.healthcare.v1.model.Message;
   import com.google.auth.http.HttpCredentialsAdapter;
   import com.google.auth.oauth2.GoogleCredentials;
   import java.io.IOException;
   import java.nio.charset.Charset;
   import java.nio.file.Files;
   import java.nio.file.Paths;
   import java.util.Collections;
   import java.util.List;
   
   @SuppressWarnings("checkstyle:AbbreviationAsWordInName")
   public class HL7v2MessageIngest {
     private static final String HL7v2_NAME = "projects/%s/locations/%s/datasets/%s/hl7V2Stores/%s";
     private static final String MESSAGE_NAME =
         "projects/%s/locations/%s/datasets/%s/hl7V2Stores/%s/messages/%s";
     private static final JsonFactory JSON_FACTORY = new GsonFactory();
     private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();
   
     public static void hl7v2MessageIngest(String hl7v2StoreName, String filePath) throws IOException {
       // String hl7v2StoreName =
       //    String.format(
       //        HL7v2_NAME, "your-project-id", "your-region-id", "your-dataset-id", "your-hl7v2-id");
   
       // Initialize the client, which will be used to interact with the service.
       CloudHealthcare client = createClient();
   
       // Load the data from file and format it into an ingest request.
       List<String> lines = Files.readAllLines(Paths.get(filePath), Charset.defaultCharset());
       String data = String.join("\n", lines);
       Message message = new Message().setData(data);
       IngestMessageRequest ingestRequest = new IngestMessageRequest().setMessage(message);
   
       // Create request and configure any parameters.
       Messages.Ingest request =
           client
               .projects()
               .locations()
               .datasets()
               .hl7V2Stores()
               .messages()
               .ingest(hl7v2StoreName, ingestRequest);
   
       // Execute the request and process the results.
       IngestMessageResponse response = request.execute();
       System.out.println("HL7v2 message ingested: " + response.toPrettyString());
     }
   
     private static CloudHealthcare createClient() throws IOException {
       // Use Application Default Credentials (ADC) to authenticate the requests
       // For more information see https://cloud.google.com/docs/authentication/production
       GoogleCredentials credential =
           GoogleCredentials.getApplicationDefault()
               .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));
   
       // Create a HttpRequestInitializer, which will provide a baseline configuration to all requests.
       HttpRequestInitializer requestInitializer =
           request -> {
             new HttpCredentialsAdapter(credential).initialize(request);
             request.setConnectTimeout(60000); // 1 minute connect timeout
             request.setReadTimeout(60000); // 1 minute read timeout
           };
   
       // Build the client for interacting with the service.
       return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
           .setApplicationName("your-application-name")
           .build();
     }
   }

   Node.js

   在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Node.js 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Node.js API 参考文档。

   如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

   在 GitHub 上查看 反馈

   const google = require('@googleapis/healthcare');
   const healthcare = google.healthcare({
     version: 'v1',
     auth: new google.auth.GoogleAuth({
       scopes: ['https://www.googleapis.com/auth/cloud-platform'],
     }),
   });
   const fs = require('fs');
   const util = require('util');
   const readFile = util.promisify(fs.readFile);
   
   const ingestHl7v2Message = async () => {
     // TODO(developer): uncomment these lines before running the sample
     // const cloudRegion = 'us-central1';
     // const projectId = 'adjective-noun-123';
     // const datasetId = 'my-dataset';
     // const hl7v2StoreId = 'my-hl7v2-store';
     // const hl7v2MessageFile = 'hl7v2-message.json';
     const hl7v2Message = JSON.parse(await readFile(hl7v2MessageFile));
   
     const parent = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}/hl7V2Stores/${hl7v2StoreId}`;
     const request = {parent, resource: hl7v2Message};
   
     const response =
       await healthcare.projects.locations.datasets.hl7V2Stores.messages.ingest(
         request
       );
     const data = response.data.hl7Ack;
     const buff = new Buffer.from(data, 'base64');
     const hl7Ack = buff.toString('ascii');
     console.log('Ingested HL7v2 message with ACK:\n', hl7Ack);
   };
   
   ingestHl7v2Message();

   Python

   在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Python 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Python API 参考文档。

   如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

   在 GitHub 上查看 反馈

   def ingest_hl7v2_message(
       project_id, location, dataset_id, hl7v2_store_id, hl7v2_message_file
   ):
       """Ingests a new HL7v2 message from the hospital and sends a notification
       to the Cloud Pub/Sub topic. Return is an HL7v2 ACK message if the message
       was successfully stored.
   
       See https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/healthcare/api-client/v1/hl7v2
       before running the sample."""
       # Imports the Google API Discovery Service.
       from googleapiclient import discovery
   
       # Imports Python's built-in "json" module
       import json
   
       api_version = "v1"
       service_name = "healthcare"
       # Returns an authorized API client by discovering the Healthcare API
       # and using GOOGLE_APPLICATION_CREDENTIALS environment variable.
       client = discovery.build(service_name, api_version)
   
       # TODO(developer): Uncomment these lines and replace with your values.
       # project_id = 'my-project'  # replace with your GCP project ID
       # location = 'us-central1'  # replace with the parent dataset's location
       # dataset_id = 'my-dataset'  # replace with the HL7v2 store's parent dataset ID
       # hl7v2_store_id = 'my-hl7v2-store'  # replace with the HL7v2 store's ID
       # hl7v2_message_file = 'hl7v2-message.json'  # replace with the path to the HL7v2 file
       hl7v2_parent = f"projects/{project_id}/locations/{location}"
       hl7v2_store_name = "{}/datasets/{}/hl7V2Stores/{}".format(
           hl7v2_parent, dataset_id, hl7v2_store_id
       )
   
       with open(hl7v2_message_file) as hl7v2_message:
           hl7v2_message_content = json.load(hl7v2_message)
   
       request = (
           client.projects()
           .locations()
           .datasets()
           .hl7V2Stores()
           .messages()
           .ingest(parent=hl7v2_store_name, body=hl7v2_message_content)
       )
   
       response = request.execute()
       print(f"Ingested HL7v2 message from file: {hl7v2_message_file}")
       return response
   
   

   输出包含 HL7v2 消息 ID。在下一部分，您将需要用到此 ID。

查看 HL7v2 消息内容

运行以下示例以查看 HL7v2 消息内容。

在运行示例之前，请根据需要取消注释并提供以下值：

• 您在准备工作部分中创建或选择的 Google Cloud 项目的 ID 作为项目 ID
• my-dataset 用于数据集 ID
• us-central1 - 数据集位置
• my-hl7v2-store（适用于 HL7v2 存储区 ID）
• 存储 HL7v2 消息 ID 的消息时响应中的 ID

Go

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Go 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Go API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

import (
	"context"
	"encoding/base64"
	"encoding/json"
	"fmt"
	"io"

	healthcare "google.golang.org/api/healthcare/v1"
)

// getHL7V2Message gets an HL7V2 message.
func getHL7V2Message(w io.Writer, projectID, location, datasetID, hl7V2StoreID, hl7V2MessageID string) error {
	ctx := context.Background()

	healthcareService, err := healthcare.NewService(ctx)
	if err != nil {
		return fmt.Errorf("healthcare.NewService: %w", err)
	}

	messagesService := healthcareService.Projects.Locations.Datasets.Hl7V2Stores.Messages

	name := fmt.Sprintf("projects/%s/locations/%s/datasets/%s/hl7V2Stores/%s/messages/%s", projectID, location, datasetID, hl7V2StoreID, hl7V2MessageID)
	message, err := messagesService.Get(name).Do()
	if err != nil {
		return fmt.Errorf("Get: %w", err)
	}

	rawData, err := base64.StdEncoding.DecodeString(message.Data)
	if err != nil {
		return fmt.Errorf("base64.DecodeString: %w", err)
	}

	fmt.Fprintf(w, "Got HL7V2 message.\n")
	fmt.Fprintf(w, "Raw length: %d.\n", len(rawData))
	fmt.Fprintf(w, "Parsed data:\n")
	parsedJSON, _ := json.MarshalIndent(message.ParsedData, "", "  ")
	fmt.Fprintf(w, "%s", parsedJSON)
	return nil
}

Java

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Java 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Java API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

import com.google.api.client.http.HttpRequestInitializer;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.gson.GsonFactory;
import com.google.api.services.healthcare.v1.CloudHealthcare;
import com.google.api.services.healthcare.v1.CloudHealthcare.Projects.Locations.Datasets.Hl7V2Stores.Messages;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.api.services.healthcare.v1.model.Message;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.IOException;
import java.util.Collections;

@SuppressWarnings("checkstyle:AbbreviationAsWordInName")
public class HL7v2MessageGet {
  private static final String MESSAGE_NAME =
      "projects/%s/locations/%s/datasets/%s/hl7V2Stores/%s/messages/%s";
  private static final JsonFactory JSON_FACTORY = new GsonFactory();
  private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();

  public static void hl7v2MessageGet(String hl7v2MessageName) throws IOException {
    // String hl7v2MessageName =
    //    String.format(
    //        MESSAGE_NAME, "project-id", "region-id", "dataset-id", "hl7v2-id", "message-id");

    // Initialize the client, which will be used to interact with the service.
    CloudHealthcare client = createClient();

    // Create request and configure any parameters.
    Messages.Get request =
        client.projects().locations().datasets().hl7V2Stores().messages().get(hl7v2MessageName);

    // Execute the request and process the results.
    Message store = request.execute();
    System.out.println("HL7v2 message retrieved: \n" + store.toPrettyString());
  }

  private static CloudHealthcare createClient() throws IOException {
    // Use Application Default Credentials (ADC) to authenticate the requests
    // For more information see https://cloud.google.com/docs/authentication/production
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    // Create a HttpRequestInitializer, which will provide a baseline configuration to all requests.
    HttpRequestInitializer requestInitializer =
        request -> {
          new HttpCredentialsAdapter(credential).initialize(request);
          request.setConnectTimeout(60000); // 1 minute connect timeout
          request.setReadTimeout(60000); // 1 minute read timeout
        };

    // Build the client for interacting with the service.
    return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
        .setApplicationName("your-application-name")
        .build();
  }
}

Node.js

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Node.js 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Node.js API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

const google = require('@googleapis/healthcare');
const healthcare = google.healthcare({
  version: 'v1',
  auth: new google.auth.GoogleAuth({
    scopes: ['https://www.googleapis.com/auth/cloud-platform'],
  }),
});

const getHl7v2Message = async () => {
  // TODO(developer): uncomment the lines beginning with 'const' before running the sample
  // const cloudRegion = 'us-central1';
  // const projectId = 'adjective-noun-123';
  // const datasetId = 'my-dataset';
  // const hl7v2StoreId = 'my-hl7v2-store';
  // The value for hl7v2MessageId is the server-generated ID returned when you
  // created or ingested the HL7v2 message in an HL7v2 store.
  // const hl7v2MessageId = 'qCnewKno44gTt3oBn4dQ0u8ZA23ibDdV9GpifD2E=';
  const name = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}/hl7V2Stores/${hl7v2StoreId}/messages/${hl7v2MessageId}`;
  // Use the 'FULL' enum to include all of the message fields in the response.
  const view = 'FULL';
  const request = {name, view};

  const hl7v2Message =
    await healthcare.projects.locations.datasets.hl7V2Stores.messages.get(
      request
    );
  console.log('Got HL7v2 message:\n', hl7v2Message.data);
};

getHl7v2Message();

Python

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Python 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Python API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

def get_hl7v2_message(
    project_id, location, dataset_id, hl7v2_store_id, hl7v2_message_id
):
    """Gets an HL7v2 message.

    See https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/healthcare/api-client/v1/hl7v2
    before running the sample."""
    # Imports the Google API Discovery Service.
    from googleapiclient import discovery

    api_version = "v1"
    service_name = "healthcare"
    # Returns an authorized API client by discovering the Healthcare API
    # and using GOOGLE_APPLICATION_CREDENTIALS environment variable.
    client = discovery.build(service_name, api_version)

    # TODO(developer): Uncomment these lines and replace with your values.
    # project_id = 'my-project'  # replace with your GCP project ID
    # location = 'us-central1'  # replace with the parent dataset's location
    # dataset_id = 'my-dataset'  # replace with the HL7v2 store's parent dataset ID
    # hl7v2_store_id = 'my-hl7v2-store'  # replace with the HL7v2 store's ID
    # hl7v2_message_id = '2yqbdhYHlk_ucSmWkcKOVm_N0p0OpBXgIlVG18rB-cw='  # replace with the HL7v2 message ID that was returned by the server
    hl7v2_parent = f"projects/{project_id}/locations/{location}"
    hl7v2_message_name = "{}/datasets/{}/hl7V2Stores/{}/messages/{}".format(
        hl7v2_parent, dataset_id, hl7v2_store_id, hl7v2_message_id
    )

    msgs = client.projects().locations().datasets().hl7V2Stores().messages()
    message = msgs.get(name=hl7v2_message_name).execute()

    print("Name: {}".format(message.get("name")))
    print("Data: {}".format(message.get("data")))
    print("Creation time: {}".format(message.get("createTime")))
    print("Sending facility: {}".format(message.get("sendFacility")))
    print("Time sent: {}".format(message.get("sendTime")))
    print("Message type: {}".format(message.get("messageType")))
    print("Patient IDs:")
    patient_ids = message.get("patientIds")
    for patient_id in patient_ids:
        print("\tPatient value: {}".format(patient_id.get("value")))
        print("\tPatient type: {}".format(patient_id.get("type")))
    print("Labels: {}".format(message.get("labels")))

    print(message)
    return message

在 Cloud Healthcare API 中存储和查看 HL7v2 消息后，请继续清理，以避免因本页面中使用的资源导致您的 Google Cloud 帐号产生费用。

如需详细了解如何使用 HL7v2 数据，请参阅后续步骤。

清理

为避免因本页面中使用的资源导致您的 Google Cloud 账号产生费用，请删除包含这些资源的 Google Cloud 项目。

如果您为此快速入门创建了新项目，请按照删除项目中的步骤操作。否则，请按照删除数据集中的步骤操作。

1. Optional: Revoke the authentication credentials that you created, and delete the local credential file.

   gcloud auth application-default revoke

2. Optional: Revoke credentials from the gcloud CLI.

   gcloud auth revoke

删除项目

注意：删除项目会产生以下影响：

• 项目中的所有内容都会被删除。如果您将现有项目用于本文档中的任务，则删除该项目后，还将删除您已在该项目中完成的任何其他工作。
• 自定义项目 ID 丢失。创建此项目时，您可能创建了要在将来使用的自定义项目 ID。要保留使用该项目 ID 的网址（例如 appspot.com 网址），请删除项目内的所选资源，而不是删除整个项目。

如果您打算探索多个架构、教程或快速入门，则重复使用项目可以帮助您避免超出项目配额限制。

Delete a Google Cloud project:

gcloud projects delete PROJECT_ID

删除数据集

如果您不再需要在本快速入门中创建的数据集，可以将其删除。删除数据集会永久删除该数据集以及其中包含的任何 FHIR、HL7v2 或 DICOM 存储区。

在运行示例之前，请根据需要取消注释并提供以下值：

• 您在准备工作部分中创建或选择的 Google Cloud 项目的 ID 作为项目 ID
• my-dataset 用于数据集 ID
• us-central1 - 数据集位置

Go

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Go 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Go API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

import (
	"context"
	"fmt"
	"io"

	healthcare "google.golang.org/api/healthcare/v1"
)

// deleteDataset deletes the given dataset.
func deleteDataset(w io.Writer, projectID, location, datasetID string) error {
	ctx := context.Background()

	healthcareService, err := healthcare.NewService(ctx)
	if err != nil {
		return fmt.Errorf("healthcare.NewService: %w", err)
	}

	datasetsService := healthcareService.Projects.Locations.Datasets

	name := fmt.Sprintf("projects/%s/locations/%s/datasets/%s", projectID, location, datasetID)
	if _, err := datasetsService.Delete(name).Do(); err != nil {
		return fmt.Errorf("Delete: %w", err)
	}

	fmt.Fprintf(w, "Deleted dataset: %q\n", name)
	return nil
}

Java

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Java 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Java API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

import com.google.api.client.http.HttpRequestInitializer;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.gson.GsonFactory;
import com.google.api.services.healthcare.v1.CloudHealthcare;
import com.google.api.services.healthcare.v1.CloudHealthcare.Projects.Locations.Datasets;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.IOException;
import java.util.Collections;

public class DatasetDelete {
  private static final String DATASET_NAME = "projects/%s/locations/%s/datasets/%s";
  private static final JsonFactory JSON_FACTORY = new GsonFactory();
  private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();

  public static void datasetDelete(String datasetName) throws IOException {
    // String datasetName =
    //     String.format(DATASET_NAME, "your-project-id", "your-region-id", "your-dataset-id");

    // Initialize the client, which will be used to interact with the service.
    CloudHealthcare client = createClient();

    // Create request and configure any parameters.
    Datasets.Delete request = client.projects().locations().datasets().delete(datasetName);

    // Execute the request and process the results.
    request.execute();
    System.out.println("Dataset deleted.");
  }

  private static CloudHealthcare createClient() throws IOException {
    // Use Application Default Credentials (ADC) to authenticate the requests
    // For more information see https://cloud.google.com/docs/authentication/production
    GoogleCredentials credential =
        GoogleCredentials.getApplicationDefault()
            .createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));

    // Create a HttpRequestInitializer, which will provide a baseline configuration to all requests.
    HttpRequestInitializer requestInitializer =
        request -> {
          new HttpCredentialsAdapter(credential).initialize(request);
          request.setConnectTimeout(60000); // 1 minute connect timeout
          request.setReadTimeout(60000); // 1 minute read timeout
        };

    // Build the client for interacting with the service.
    return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
        .setApplicationName("your-application-name")
        .build();
  }
}

Node.js

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Node.js 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Node.js API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

const google = require('@googleapis/healthcare');
const healthcare = google.healthcare({
  version: 'v1',
  auth: new google.auth.GoogleAuth({
    scopes: ['https://www.googleapis.com/auth/cloud-platform'],
  }),
});

const deleteDataset = async () => {
  // TODO(developer): uncomment these lines before running the sample
  // const cloudRegion = 'us-central1';
  // const projectId = 'adjective-noun-123';
  // const datasetId = 'my-dataset';
  const parent = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}`;
  const request = {name: parent};

  await healthcare.projects.locations.datasets.delete(request);
  console.log(`Deleted dataset: ${datasetId}`);
};

deleteDataset();

Python

在试用此示例之前，请按照使用客户端库的 Cloud Healthcare API 快速入门中的 Python 设置说明进行操作。如需了解详情，请参阅 Cloud Healthcare API Python API 参考文档。

如需向 Cloud Healthcare API 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

在 GitHub 上查看 反馈

def delete_dataset(project_id: str, location: str, dataset_id: str) -> None:
    """Deletes a dataset.

    See
    https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/healthcare/api-client/v1/datasets
    before running the sample.
    See https://googleapis.github.io/google-api-python-client/docs/dyn/healthcare_v1.projects.locations.datasets.html#delete
    for the Python API reference.

    Args:
      project_id: The project ID or project number of the Google Cloud project you want
          to use.
      location: The name of the dataset's location.
      dataset_id: The name of the dataset to delete.

    Returns:
      An empty response body.
    """
    # Imports HttpError from the Google Python API client errors module.
    # Imports the Google API Discovery Service.
    from googleapiclient import discovery
    from googleapiclient.errors import HttpError

    api_version = "v1"
    service_name = "healthcare"
    # Returns an authorized API client by discovering the Healthcare API
    # and using GOOGLE_APPLICATION_CREDENTIALS environment variable.
    client = discovery.build(service_name, api_version)

    # TODO(developer): Uncomment these lines and replace with your values.
    # project_id = 'my-project'
    # location = 'us-central1'
    # dataset_id = 'my-dataset'
    dataset_name = f"projects/{project_id}/locations/{location}/datasets/{dataset_id}"

    request = client.projects().locations().datasets().delete(name=dataset_name)

    try:
        request.execute()
        print(f"Deleted dataset: {dataset_id}")
    except HttpError as err:
        raise err

结果怎么样？

成功了！

太棒了！ 您对本快速入门有何看法？我们可以在哪些方面做出改进？ 欢迎提供您的意见！

遇到了问题！

我们对此深表遗憾。 请告诉我们您遇到了什么问题。我们会予以修正。

后续步骤

如需了解有关 Cloud Healthcare API 的一般信息以及如何使用其他界面执行本快速入门中的任务，请参阅以下部分：

• 阅读 Cloud Healthcare API 概念概览
• 使用 curl 或 PowerShell 存储医疗保健数据
• 使用 Google Cloud 控制台存储医疗保健数据
• 使用 gcloud CLI 存储医疗保健数据

DICOM

• 创建和管理 DICOM 存储区
• 将 PACS 连接到 Cloud Healthcare API
• 使用 DICOMweb 标准
• 使用 Cloud Storage 导入和导出 DICOM 数据

如需了解 Cloud Healthcare API 如何实现 DICOMweb 标准，请参阅 DICOM 一致性声明。

FHIR

• 创建和管理 FHIR 存储区
• 创建和管理 FHIR 资源
• 使用 Cloud Storage 导入和导出 FHIR 数据

如需了解 Cloud Healthcare API 如何实现 FHIR 标准，请参阅 FHIR 一致性声明。

HL7v2

• 创建和管理 HL7v2 商店
• 创建和管理 HL7v2 消息
• 通过 TCP/IP 连接传输 HL7v2 消息
• 使用 Cloud Storage 导入和导出 HL7v2 消息