Get the import job properties to learn more about the job or job progress.
Parameters:
-
datastore_id
(DatastoreId)
–
The data store identifier.
-
job_id
(JobId)
–
The import job identifier.
Raises:
Source code in docs_src/capo_healthlake/_services/async_health_lake.py
| async def describe_fhir_import_job(
self,
datastore_id: "capo_healthlake.types.datastore_id.DatastoreId",
job_id: "capo_healthlake.types.job_id.JobId",
*,
config_overrides: Optional[AsyncHealthLakeClientConfig] = None,
) -> "capo_healthlake.types.describe_fhir_import_job_response.DescribeFHIRImportJobResponse":
"""<p>Get the import job properties to learn more about the job or job progress.</p>
Args:
datastore_id: <p>The data store identifier.</p>
job_id: <p>The import job 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.
"""
async def _handler(
req: "AsyncOperationRequest[capo_healthlake.types.describe_fhir_import_job_request.DescribeFHIRImportJobRequest]",
) -> AsyncOperationResponse[
"capo_healthlake.types.describe_fhir_import_job_response.DescribeFHIRImportJobResponse"
]:
import capo_healthlake._operations.health_lake.describe_fhir_import_job
(
output,
http_response,
) = await capo_healthlake._operations.health_lake.describe_fhir_import_job.async_describe_fhir_import_job(
req.options, req.input
)
return AsyncOperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("DescribeFHIRImportJob")
)
input_: capo_healthlake.types.describe_fhir_import_job_request.DescribeFHIRImportJobRequest = {
"datastore_id": datastore_id,
"job_id": job_id,
}
response = await aexecute_pipeline(
AsyncOperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
await response.response.aclose()
return response.output
|