Tags the specified resource in Audit Manager.
Parameters:
-
resource_arn
(AuditManagerArn)
–
The Amazon Resource Name (ARN) of the resource.
-
tags
(TagMap)
–
The tags that are associated with the resource.
Raises:
Source code in docs_src/capo_auditmanager/_services/audit_manager.py
| def tag_resource(
self,
resource_arn: "capo_auditmanager.types.audit_manager_arn.AuditManagerArn",
tags: "capo_auditmanager.types.tag_map.TagMap",
*,
config_overrides: Optional[AuditManagerClientConfig] = None,
) -> "capo_auditmanager.types.tag_resource_response.TagResourceResponse":
"""<p> Tags the specified resource in Audit Manager. </p>
Args:
resource_arn: <p> The Amazon Resource Name (ARN) of the resource. </p>
tags: <p> The tags that are associated with the resource. </p>
Raises:
capo_auditmanager.errors.internal_server_exception.InternalServerException: <p> An internal service error occurred during the processing of your request. Try again later. </p>
capo_auditmanager.errors.resource_not_found_exception.ResourceNotFoundException: <p> The resource that's specified in the request can't be found. </p>
capo_auditmanager.errors.validation_exception.ValidationException: <p> The request has invalid or missing parameters. </p>
capo_auditmanager.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_auditmanager.types.tag_resource_request.TagResourceRequest]",
) -> OperationResponse[
"capo_auditmanager.types.tag_resource_response.TagResourceResponse"
]:
import capo_auditmanager._operations.bedrock_assessment_manager_lambda.tag_resource
output, http_response = (
capo_auditmanager._operations.bedrock_assessment_manager_lambda.tag_resource.tag_resource(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("TagResource")
)
input_: capo_auditmanager.types.tag_resource_request.TagResourceRequest = {
"resource_arn": resource_arn,
"tags": tags,
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|