def describe_service(
self,
service_arn: "capo_apprunner.types.app_runner_resource_arn.AppRunnerResourceArn",
*,
config_overrides: Optional[AppRunnerClientConfig] = None,
) -> "capo_apprunner.types.describe_service_response.DescribeServiceResponse":
"""<p>Return a full description of an App Runner service.</p>
Args:
service_arn: <p>The Amazon Resource Name (ARN) of the App Runner service that you want a description for.</p>
Raises:
capo_apprunner.errors.internal_service_error_exception.InternalServiceErrorException: <p>An unexpected service exception occurred.</p>
capo_apprunner.errors.invalid_request_exception.InvalidRequestException: <p>One or more input parameters aren't valid. Refer to the API action's document page, correct the input parameters, and try the action again.</p>
capo_apprunner.errors.resource_not_found_exception.ResourceNotFoundException: <p>A resource doesn't exist for the specified Amazon Resource Name (ARN) in your Amazon Web Services account.</p>
capo_apprunner.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_apprunner.types.describe_service_request.DescribeServiceRequest]",
) -> OperationResponse[
"capo_apprunner.types.describe_service_response.DescribeServiceResponse"
]:
import capo_apprunner._operations.app_runner.describe_service
output, http_response = (
capo_apprunner._operations.app_runner.describe_service.describe_service(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
def _redact_output(
output: "capo_apprunner.types.describe_service_response.DescribeServiceResponse",
) -> dict[str, Any]:
import capo_apprunner.types.describe_service_response
return capo_apprunner.types.describe_service_response.redact_sensitive(
output
)
interceptors_, options_ = self.operation_options(
config_overrides,
OperationLogging("DescribeService", redact_output=_redact_output),
)
input_: capo_apprunner.types.describe_service_request.DescribeServiceRequest = {
"service_arn": service_arn
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output