List all rulesets available in the current account or rulesets associated with a specific resource (dataset).
Parameters:
-
target_arn
(Optional[Arn], default:
None
)
–
The Amazon Resource Name (ARN) of a resource (dataset). Using this parameter indicates to return only those rulesets that are associated with the specified resource.
-
max_results
(Optional[MaxResults100], default:
None
)
–
The maximum number of results to return in this request.
-
next_token
(Optional[NextToken], default:
None
)
–
A token generated by DataBrew that specifies where to continue pagination if a previous request was truncated. To get the next set of pages, pass in the NextToken value from the response object of the previous page call.
Raises:
Source code in docs_src/capo_databrew/_services/async_data_brew.py
| async def list_rulesets(
self,
*,
config_overrides: Optional[AsyncDataBrewClientConfig] = None,
target_arn: Optional["capo_databrew.types.arn.Arn"] = None,
max_results: Optional[
"capo_databrew.types.max_results100.MaxResults100"
] = None,
next_token: Optional["capo_databrew.types.next_token.NextToken"] = None,
) -> "capo_databrew.types.list_rulesets_response.ListRulesetsResponse":
"""<p>List all rulesets available in the current account or rulesets associated with a specific resource (dataset).</p>
Args:
target_arn: <p>The Amazon Resource Name (ARN) of a resource (dataset). Using this parameter indicates to return only those rulesets that are associated with the specified resource.</p>
max_results: <p>The maximum number of results to return in this request.</p>
next_token: <p>A token generated by DataBrew that specifies where to continue pagination if a previous request was truncated. To get the next set of pages, pass in the NextToken value from the response object of the previous page call.</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.list_rulesets_request.ListRulesetsRequest]",
) -> AsyncOperationResponse[
"capo_databrew.types.list_rulesets_response.ListRulesetsResponse"
]:
import capo_databrew._operations.aws_glue_data_brew.list_rulesets
(
output,
http_response,
) = await capo_databrew._operations.aws_glue_data_brew.list_rulesets.async_list_rulesets(
req.options, req.input
)
return AsyncOperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("ListRulesets")
)
input_: capo_databrew.types.list_rulesets_request.ListRulesetsRequest = {}
if target_arn is not None:
input_["target_arn"] = target_arn
if max_results is not None:
input_["max_results"] = max_results
if next_token is not None:
input_["next_token"] = next_token
response = await aexecute_pipeline(
AsyncOperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
await response.response.aclose()
return response.output
|