Returns information about an ingestion.
Parameters:
-
app_bundle_identifier
(Identifier)
–
The Amazon Resource Name (ARN) or Universal Unique Identifier (UUID) of the app bundle to use for the request.
-
ingestion_identifier
(Identifier)
–
The Amazon Resource Name (ARN) or Universal Unique Identifier (UUID) of the ingestion to use for the request.
Raises:
Source code in docs_src/capo_appfabric/_services/app_fabric.py
| def get_ingestion(
self,
app_bundle_identifier: "capo_appfabric.types.identifier.Identifier",
ingestion_identifier: "capo_appfabric.types.identifier.Identifier",
*,
config_overrides: Optional[AppFabricClientConfig] = None,
) -> "capo_appfabric.types.get_ingestion_response.GetIngestionResponse":
"""<p>Returns information about an ingestion.</p>
Args:
app_bundle_identifier: <p>The Amazon Resource Name (ARN) or Universal Unique Identifier (UUID) of the app bundle to use for the request.</p>
ingestion_identifier: <p>The Amazon Resource Name (ARN) or Universal Unique Identifier (UUID) of the ingestion to use for the request.</p>
Raises:
capo_appfabric.errors.access_denied_exception.AccessDeniedException: <p>You are not authorized to perform this operation.</p>
capo_appfabric.errors.internal_server_exception.InternalServerException: <p>The request processing has failed because of an unknown error, exception, or failure with an internal server.</p>
capo_appfabric.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource does not exist.</p>
capo_appfabric.errors.throttling_exception.ThrottlingException: <p>The request rate exceeds the limit.</p>
capo_appfabric.errors.validation_exception.ValidationException: <p>The request has invalid or missing parameters.</p>
capo_appfabric.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_appfabric.types.get_ingestion_request.GetIngestionRequest]",
) -> OperationResponse[
"capo_appfabric.types.get_ingestion_response.GetIngestionResponse"
]:
import capo_appfabric._operations.fabric_front_end_service.get_ingestion
output, http_response = (
capo_appfabric._operations.fabric_front_end_service.get_ingestion.get_ingestion(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("GetIngestion")
)
input_: capo_appfabric.types.get_ingestion_request.GetIngestionRequest = {
"app_bundle_identifier": app_bundle_identifier,
"ingestion_identifier": ingestion_identifier,
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|