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Usa CreateFhirDataStore con un AWS SDK o CLI - AWS Esempi di codice SDK

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Usa CreateFhirDataStore con un AWS SDK o CLI

Gli esempi di codice seguenti mostrano come utilizzare CreateFHIRDatastore.

CLI
AWS CLI

Esempio 1: creare un archivio SigV4-enabled HealthLake dati

L'create-fhir-datastoreesempio seguente mostra come creare un nuovo archivio dati in AWS HealthLake.

aws healthlake create-fhir-datastore \ --datastore-type-version R4 \ --datastore-name "FhirTestDatastore"

Output:

{ "DatastoreEndpoint": "https://healthlake.us-east-1.amazonaws.com/datastore/(Data store ID)/r4/", "DatastoreArn": "arn:aws:healthlake:us-east-1:(AWS Account ID):datastore/(Data store ID)", "DatastoreStatus": "CREATING", "DatastoreId": "(Data store ID)" }

Esempio 2: creare uno SMART su un FHIR-enabled HealthLake data store

L'create-fhir-datastoreesempio seguente mostra come creare un nuovo SMART su un FHIR-enabled data store in AWS HealthLake.

aws healthlake create-fhir-datastore \ --datastore-name "your-data-store-name" \ --datastore-type-version R4 \ --preload-data-config PreloadDataType="SYNTHEA" \ --sse-configuration '{ "KmsEncryptionConfig": { "CmkType": "CUSTOMER_MANAGED_KMS_KEY", "KmsKeyId": "arn:aws:kms:us-east-1:your-account-id:key/your-key-id" } }' \ --identity-provider-configuration file://identity_provider_configuration.json

Contenuto di identity_provider_configuration.json:

{ "AuthorizationStrategy": "SMART_ON_FHIR_V1", "FineGrainedAuthorizationEnabled": true, "IdpLambdaArn": "arn:aws:lambda:your-region:your-account-id:function:your-lambda-name", "Metadata": "{\"issuer\":\"https://ehr.example.com\", \"jwks_uri\":\"https://ehr.example.com/.well-known/jwks.json\",\"authorization_endpoint\":\"https://ehr.example.com/auth/authorize\",\"token_endpoint\":\"https://ehr.token.com/auth/token\",\"token_endpoint_auth_methods_supported\":[\"client_secret_basic\",\"foo\"],\"grant_types_supported\":[\"client_credential\",\"foo\"],\"registration_endpoint\":\"https://ehr.example.com/auth/register\",\"scopes_supported\":[\"openId\",\"profile\",\"launch\"],\"response_types_supported\":[\"code\"],\"management_endpoint\":\"https://ehr.example.com/user/manage\",\"introspection_endpoint\":\"https://ehr.example.com/user/introspect\",\"revocation_endpoint\":\"https://ehr.example.com/user/revoke\",\"code_challenge_methods_supported\":[\"S256\"],\"capabilities\":[\"launch-ehr\",\"sso-openid-connect\",\"client-public\"]}" }

Output:

{ "DatastoreEndpoint": "https://healthlake.us-east-1.amazonaws.com/datastore/(Data store ID)/r4/", "DatastoreArn": "arn:aws:healthlake:us-east-1:(AWS Account ID):datastore/(Data store ID)", "DatastoreStatus": "CREATING", "DatastoreId": "(Data store ID)" }

Per ulteriori informazioni, consulta Creazione e monitoraggio di un data store FHIR nella AWS HealthLake Developer Guide.

  • Per informazioni dettagliate sull’API, consulta CreateFHIRDatastore in AWS CLI Command Reference.

Python
SDK per Python (Boto3)
@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 create_fhir_datastore( self, datastore_name: str, sse_configuration: dict[str, any] = None, identity_provider_configuration: dict[str, any] = None, ) -> dict[str, str]: """ Creates a new HealthLake data store. When creating a SMART on FHIR data store, the following parameters are required: - sse_configuration: The server-side encryption configuration for a SMART on FHIR-enabled data store. - identity_provider_configuration: The identity provider configuration for a SMART on FHIR-enabled data store. :param datastore_name: The name of the data store. :param sse_configuration: The server-side encryption configuration for a SMART on FHIR-enabled data store. :param identity_provider_configuration: The identity provider configuration for a SMART on FHIR-enabled data store. :return: A dictionary containing the data store information. """ try: parameters = {"DatastoreName": datastore_name, "DatastoreTypeVersion": "R4"} if ( sse_configuration is not None and identity_provider_configuration is not None ): # Creating a SMART on FHIR-enabled data store parameters["SseConfiguration"] = sse_configuration parameters[ "IdentityProviderConfiguration" ] = identity_provider_configuration response = self.health_lake_client.create_fhir_datastore(**parameters) return response except ClientError as err: logger.exception( "Couldn't create data store %s. Here's why %s", datastore_name, err.response["Error"]["Message"], ) raise

Il codice seguente mostra un esempio di parametri per un archivio FHIR-enabled HealthLake dati SMART.

sse_configuration = { "KmsEncryptionConfig": {"CmkType": "AWS_OWNED_KMS_KEY"} } # TODO: Update the metadata to match your environment. metadata = { "issuer": "https://ehr.example.com", "jwks_uri": "https://ehr.example.com/.well-known/jwks.json", "authorization_endpoint": "https://ehr.example.com/auth/authorize", "token_endpoint": "https://ehr.token.com/auth/token", "token_endpoint_auth_methods_supported": [ "client_secret_basic", "foo", ], "grant_types_supported": ["client_credential", "foo"], "registration_endpoint": "https://ehr.example.com/auth/register", "scopes_supported": ["openId", "profile", "launch"], "response_types_supported": ["code"], "management_endpoint": "https://ehr.example.com/user/manage", "introspection_endpoint": "https://ehr.example.com/user/introspect", "revocation_endpoint": "https://ehr.example.com/user/revoke", "code_challenge_methods_supported": ["S256"], "capabilities": [ "launch-ehr", "sso-openid-connect", "client-public", ], } # TODO: Update the IdpLambdaArn. identity_provider_configuration = { "AuthorizationStrategy": "SMART_ON_FHIR_V1", "FineGrainedAuthorizationEnabled": True, "IdpLambdaArn": "arn:aws:lambda:your-region:your-account-id:function:your-lambda-name", "Metadata": json.dumps(metadata), } data_store = self.create_fhir_datastore( datastore_name, sse_configuration, identity_provider_configuration )
  • Per informazioni dettagliate sull’API, consulta CreateFHIRDatastore nella documentazione di riferimento dell’API AWS SDK per Python (Boto3).

Nota

C'è altro su GitHub. Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel Repository di esempi di codice AWS.

SAP ABAP
SDK per SAP ABAP
Nota

C'è altro da fare. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel Repository di esempi di codice AWS.

TRY. " iv_datastore_name = 'MyHealthLakeDataStore' oo_result = lo_hll->createfhirdatastore( iv_datastorename = iv_datastore_name iv_datastoretypeversion = 'R4' ). MESSAGE 'Data store created successfully.' TYPE 'I'. CATCH /aws1/cx_hllvalidationex INTO DATA(lo_validation_ex). DATA(lv_error) = |Validation error: { lo_validation_ex->av_err_code }-{ lo_validation_ex->av_err_msg }|. MESSAGE lv_error TYPE 'I'. RAISE EXCEPTION lo_validation_ex. CATCH /aws1/cx_hllinternalserverex INTO DATA(lo_internal_ex). lv_error = |Internal server error: { lo_internal_ex->av_err_code }-{ lo_internal_ex->av_err_msg }|. MESSAGE lv_error TYPE 'I'. RAISE EXCEPTION lo_internal_ex. CATCH /aws1/cx_hllthrottlingex INTO DATA(lo_throttling_ex). lv_error = |Throttling error: { lo_throttling_ex->av_err_code }-{ lo_throttling_ex->av_err_msg }|. MESSAGE lv_error TYPE 'I'. RAISE EXCEPTION lo_throttling_ex. ENDTRY.
  • Per i dettagli sull'API, consulta CreateFhirDataStore in AWS SDK per il riferimento all'API SAP ABAP.