Updates specified ruleset.
Parameters:
-
name
(RulesetName)
–
The name of the ruleset to be updated.
-
description
(Optional[RulesetDescription], default:
None
)
–
The description of the ruleset.
-
rules
(RuleList)
–
A list of rules that are defined with the ruleset. A rule includes one or more checks to be validated on a DataBrew dataset.
Raises:
Source code in docs_src/capo_databrew/_services/data_brew.py
| def update_ruleset(
self,
name: "capo_databrew.types.ruleset_name.RulesetName",
rules: "capo_databrew.types.rule_list.RuleList",
*,
config_overrides: Optional[DataBrewClientConfig] = 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.
"""
def _handler(
req: "OperationRequest[capo_databrew.types.update_ruleset_request.UpdateRulesetRequest]",
) -> OperationResponse[
"capo_databrew.types.update_ruleset_response.UpdateRulesetResponse"
]:
import capo_databrew._operations.aws_glue_data_brew.update_ruleset
output, http_response = (
capo_databrew._operations.aws_glue_data_brew.update_ruleset.update_ruleset(
req.options, req.input
)
)
return OperationResponse(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 = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|