async def update_ruleset(
self,
name: "capo_databrew.types.ruleset_name.RulesetName",
rules: "capo_databrew.types.rule_list.RuleList",
*,
config_overrides: Optional[AsyncDataBrewClientConfig] = None,
description: Optional[
"capo_databrew.types.ruleset_description.RulesetDescription"
] = None,
) -> "capo_databrew.types.update_ruleset_response.UpdateRulesetResponse":
"""<p>Updates specified ruleset.</p>
Args:
name: <p>The name of the ruleset to be updated.</p>
description: <p>The description of the ruleset.</p>
rules: <p>A list of rules that are defined with the ruleset. A rule includes one or more checks to be validated on a DataBrew dataset.</p>
Raises:
capo_databrew.errors.resource_not_found_exception.ResourceNotFoundException: <p>One or more resources can't be found.</p>
capo_databrew.errors.validation_exception.ValidationException: <p>The input parameters for this request failed validation.</p>
capo_databrew.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
async def _handler(
req: "AsyncOperationRequest[capo_databrew.types.update_ruleset_request.UpdateRulesetRequest]",
) -> AsyncOperationResponse[
"capo_databrew.types.update_ruleset_response.UpdateRulesetResponse"
]:
import capo_databrew._operations.aws_glue_data_brew.update_ruleset
(
output,
http_response,
) = await capo_databrew._operations.aws_glue_data_brew.update_ruleset.async_update_ruleset(
req.options, req.input
)
return AsyncOperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("UpdateRuleset")
)
input_: capo_databrew.types.update_ruleset_request.UpdateRulesetRequest = {
"name": name,
"rules": rules,
}
if description is not None:
input_["description"] = description
response = await aexecute_pipeline(
AsyncOperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
await response.response.aclose()
return response.output