Lists service functions for a service.
Raises:
Source code in docs_src/capo_resiliencehubv2/_services/resiliencehubv2.py
| def list_service_functions(
self,
service_arn: "capo_resiliencehubv2.types.arn.Arn",
*,
config_overrides: Optional[resiliencehubv2ClientConfig] = None,
max_results: Optional[
"capo_resiliencehubv2.types.max_results.MaxResults"
] = None,
next_token: Optional["capo_resiliencehubv2.types.next_token.NextToken"] = None,
) -> "capo_resiliencehubv2.types.list_service_functions_response.ListServiceFunctionsResponse":
"""<p>Lists service functions for a service.</p>
Raises:
capo_resiliencehubv2.errors.access_denied_exception.AccessDeniedException: <p>Access denied — caller lacks required permissions.</p>
capo_resiliencehubv2.errors.internal_server_exception.InternalServerException: <p>Internal service error.</p>
capo_resiliencehubv2.errors.resource_not_found_exception.ResourceNotFoundException: <p>Resource not found.</p>
capo_resiliencehubv2.errors.validation_exception.ValidationException: <p>Validation error — invalid input parameters.</p>
capo_resiliencehubv2.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_resiliencehubv2.types.list_service_functions_request.ListServiceFunctionsRequest]",
) -> OperationResponse[
"capo_resiliencehubv2.types.list_service_functions_response.ListServiceFunctionsResponse"
]:
import capo_resiliencehubv2._operations.ngrh_service_core.list_service_functions
output, http_response = (
capo_resiliencehubv2._operations.ngrh_service_core.list_service_functions.list_service_functions(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("ListServiceFunctions")
)
input_: capo_resiliencehubv2.types.list_service_functions_request.ListServiceFunctionsRequest = {
"service_arn": service_arn
}
if max_results is not None:
input_["max_results"] = max_results
if next_token is not None:
input_["next_token"] = next_token
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|