def get_session(
self,
application_id: "capo_emr_serverless.types.application_id.ApplicationId",
session_id: "capo_emr_serverless.types.session_id.SessionId",
*,
config_overrides: Optional[EMRServerlessClientConfig] = None,
) -> "capo_emr_serverless.types.get_session_response.GetSessionResponse":
"""<p>Displays detailed information about a session.</p>
Args:
application_id: <p>The ID of the application that the session belongs to.</p>
session_id: <p>The ID of the session.</p>
Raises:
capo_emr_serverless.errors.internal_server_exception.InternalServerException: <p>Request processing failed because of an error or failure with the service.</p>
capo_emr_serverless.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource was not found.</p>
capo_emr_serverless.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by an Amazon Web Services service.</p>
capo_emr_serverless.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_emr_serverless.types.get_session_request.GetSessionRequest]",
) -> OperationResponse[
"capo_emr_serverless.types.get_session_response.GetSessionResponse"
]:
import capo_emr_serverless._operations.aws_toledo_web_service.get_session
output, http_response = (
capo_emr_serverless._operations.aws_toledo_web_service.get_session.get_session(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
def _redact_output(
output: "capo_emr_serverless.types.get_session_response.GetSessionResponse",
) -> dict[str, Any]:
import capo_emr_serverless.types.get_session_response
return capo_emr_serverless.types.get_session_response.redact_sensitive(
output
)
interceptors_, options_ = self.operation_options(
config_overrides,
OperationLogging("GetSession", redact_output=_redact_output),
)
input_: capo_emr_serverless.types.get_session_request.GetSessionRequest = {
"application_id": application_id,
"session_id": session_id,
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output