Describes a persistent application user interface.
Parameters:
-
persistent_app_ui_id
(Optional[XmlStringMaxLen256], default:
None
)
–
The identifier for the persistent application user interface.
Raises:
Source code in docs_src/capo_emr/_services/emr.py
| def describe_persistent_app_ui(
self,
*,
config_overrides: Optional[EMRClientConfig] = None,
persistent_app_ui_id: Optional[
"capo_emr.types.xml_string_max_len256.XmlStringMaxLen256"
] = None,
) -> (
"capo_emr.types.describe_persistent_app_ui_output.DescribePersistentAppUIOutput"
):
"""<p>Describes a persistent application user interface.</p>
Args:
persistent_app_ui_id: <p>The identifier for the persistent application user interface.</p>
Raises:
capo_emr.errors.internal_server_exception.InternalServerException: <p>This exception occurs when there is an internal failure in the Amazon EMR service.</p>
capo_emr.errors.invalid_request_exception.InvalidRequestException: <p>This exception occurs when there is something wrong with user input.</p>
capo_emr.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_emr.types.describe_persistent_app_ui_input.DescribePersistentAppUIInput]",
) -> OperationResponse[
"capo_emr.types.describe_persistent_app_ui_output.DescribePersistentAppUIOutput"
]:
import capo_emr._operations.elastic_map_reduce.describe_persistent_app_ui
output, http_response = (
capo_emr._operations.elastic_map_reduce.describe_persistent_app_ui.describe_persistent_app_ui(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("DescribePersistentAppUI")
)
input_: capo_emr.types.describe_persistent_app_ui_input.DescribePersistentAppUIInput = {}
if persistent_app_ui_id is not None:
input_["persistent_app_ui_id"] = persistent_app_ui_id
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|