与 AWS SDK或StartFHIRImportJob一起使用 CLI

启动FHIR导入任务

以下start-fhir-import-job示例说明如何使用 Amazon 启动FHIR导入任务 HealthLake。

aws healthlake start-fhir-import-job \
    --input-data-config S3Uri="s3://(Bucket Name)/(Prefix Name)/" \
    --datastore-id (Datastore ID) \
    --data-access-role-arn "arn:aws:iam::(AWS Account ID):role/(Role Name)" \
    --region us-east-1

输出：

{
    "DatastoreId": "(Datastore ID)",
    "JobStatus": "SUBMITTED",
    "JobId": "c145fbb27b192af392f8ce6e7838e34f"
}

有关更多信息，请参阅《亚马逊 HeatlhLake 开发者指南》https://docs.aws.amazon.com/healthlake/latest/devguide/import中的 “将文件导入FHIR数据存储”-datastore.html。

    @classmethod
    def from_client(cls) -> "HealthLakeWrapper":
        """
        Creates a HealthLakeWrapper instance with a default AWS HealthLake client.

        :return: An instance of HealthLakeWrapper initialized with the default HealthLake client.
        """
        health_lake_client = boto3.client("healthlake")
        return cls(health_lake_client)


    def start_fhir_import_job(
        self,
        job_name: str,
        datastore_id: str,
        input_s3_uri: str,
        job_output_s3_uri: str,
        kms_key_id: str,
        data_access_role_arn: str,
    ) -> dict[str, str]:
        """
        Starts a HealthLake import job.
        :param job_name: The import job name.
        :param datastore_id: The datastore ID.
        :param input_s3_uri: The input S3 URI.
        :param job_output_s3_uri: The job output S3 URI.
        :param kms_key_id: The KMS key ID associated with the output S3 bucket.
        :param data_access_role_arn: The data access role ARN.
        :return: The import job.
        """
        try:
            response = self.health_lake_client.start_fhir_import_job(
                JobName=job_name,
                InputDataConfig={"S3Uri": input_s3_uri},
                JobOutputDataConfig={
                    "S3Configuration": {
                        "S3Uri": job_output_s3_uri,
                        "KmsKeyId": kms_key_id,
                    }
                },
                DataAccessRoleArn=data_access_role_arn,
                DatastoreId=datastore_id,
            )
            return response
        except ClientError as err:
            logger.exception(
                "Couldn't start import job. Here's why %s",
                err.response["Error"]["Message"],
            )
            raise