describe_fhir_datastore ¶

def describe_fhir_datastore(
    self,
    datastore_id: "capo_healthlake.types.datastore_id.DatastoreId",
    *,
    config_overrides: Optional[HealthLakeClientConfig] = None,
) -> "capo_healthlake.types.describe_fhir_datastore_response.DescribeFHIRDatastoreResponse":
    """<p>Get properties for a FHIR-enabled data store.</p>

    Args:
        datastore_id: <p>The data store identifier.</p>

    Raises:
        capo_healthlake.errors.internal_server_exception.InternalServerException: <p>An unknown internal error occurred in the service.</p>
        capo_healthlake.errors.resource_not_found_exception.ResourceNotFoundException: <p>The requested data store was not found.</p>
        capo_healthlake.errors.throttling_exception.ThrottlingException: <p>The user has exceeded their maximum number of allowed calls to the given API. </p>
        capo_healthlake.errors.validation_exception.ValidationException: <p>The user input parameter was invalid.</p>
        capo_healthlake.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_healthlake.types.describe_fhir_datastore_request.DescribeFHIRDatastoreRequest]",
    ) -> OperationResponse[
        "capo_healthlake.types.describe_fhir_datastore_response.DescribeFHIRDatastoreResponse"
    ]:
        import capo_healthlake._operations.health_lake.describe_fhir_datastore

        output, http_response = (
            capo_healthlake._operations.health_lake.describe_fhir_datastore.describe_fhir_datastore(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DescribeFHIRDatastore")
    )
    input_: capo_healthlake.types.describe_fhir_datastore_request.DescribeFHIRDatastoreRequest = {
        "datastore_id": datastore_id
    }

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output