list_managed_rule_sets ¶

def list_managed_rule_sets(
    self,
    scope: "capo_wafv2.types.scope.Scope",
    *,
    config_overrides: Optional[WAFV2ClientConfig] = None,
    next_marker: Optional["capo_wafv2.types.next_marker.NextMarker"] = None,
    limit: Optional["capo_wafv2.types.pagination_limit.PaginationLimit"] = None,
) -> "capo_wafv2.types.list_managed_rule_sets_response.ListManagedRuleSetsResponse":
    """<p>Retrieves the managed rule sets that you own. </p> <note> <p>This is intended for use only by vendors of managed rule sets. Vendors are Amazon Web Services and Amazon Web Services Marketplace sellers. </p> <p>Vendors, you can use the managed rule set APIs to provide controlled rollout of your versioned managed rule group offerings for your customers. The APIs are <code>ListManagedRuleSets</code>, <code>GetManagedRuleSet</code>, <code>PutManagedRuleSetVersions</code>, and <code>UpdateManagedRuleSetVersionExpiryDate</code>.</p> </note>

    Args:
        scope: <p>Specifies whether this is for a global resource type, such as a Amazon CloudFront distribution. For an Amplify application, use <code>CLOUDFRONT</code>.</p> <p>To work with CloudFront, you must also specify the Region US East (N. Virginia) as follows: </p> <ul> <li> <p>CLI - Specify the Region when you use the CloudFront scope: <code>--scope=CLOUDFRONT --region=us-east-1</code>. </p> </li> <li> <p>API and SDKs - For all calls, use the Region endpoint us-east-1. </p> </li> </ul>
        next_marker: <p>When you request a list of objects with a <code>Limit</code> setting, if the number of objects that are still available for retrieval exceeds the limit, WAF returns a <code>NextMarker</code> value in the response. To retrieve the next batch of objects, provide the marker from the prior call in your next request.</p>
        limit: <p>The maximum number of objects that you want WAF to return for this request. If more objects are available, in the response, WAF provides a <code>NextMarker</code> value that you can use in a subsequent call to get the next batch of objects.</p>

    Raises:
        capo_wafv2.errors.waf_internal_error_exception.WAFInternalErrorException: <p>Your request is valid, but WAF couldn’t perform the operation because of a system problem. Retry your request. </p>
        capo_wafv2.errors.waf_invalid_operation_exception.WAFInvalidOperationException: <p>The operation isn't valid. </p>
        capo_wafv2.errors.waf_invalid_parameter_exception.WAFInvalidParameterException: <p>The operation failed because WAF didn't recognize a parameter in the request. For example: </p> <ul> <li> <p>You specified a parameter name or value that isn't valid.</p> </li> <li> <p>Your nested statement isn't valid. You might have tried to nest a statement that can’t be nested. </p> </li> <li> <p>You tried to update a <code>WebACL</code> with a <code>DefaultAction</code> that isn't among the types available at <a>DefaultAction</a>.</p> </li> <li> <p>Your request references an ARN that is malformed, or corresponds to a resource with which a web ACL can't be associated.</p> </li> </ul>
        capo_wafv2.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_wafv2.types.list_managed_rule_sets_request.ListManagedRuleSetsRequest]",
    ) -> OperationResponse[
        "capo_wafv2.types.list_managed_rule_sets_response.ListManagedRuleSetsResponse"
    ]:
        import capo_wafv2._operations.awswaf_20190729.list_managed_rule_sets

        output, http_response = (
            capo_wafv2._operations.awswaf_20190729.list_managed_rule_sets.list_managed_rule_sets(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListManagedRuleSets")
    )
    input_: capo_wafv2.types.list_managed_rule_sets_request.ListManagedRuleSetsRequest = {
        "scope": scope
    }
    if next_marker is not None:
        input_["next_marker"] = next_marker
    if limit is not None:
        input_["limit"] = limit

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output