list_assessment_templates ¶

def list_assessment_templates(
    self,
    *,
    config_overrides: Optional[InspectorClientConfig] = None,
    assessment_target_arns: Optional[
        "capo_inspector.types.list_parent_arn_list.ListParentArnList"
    ] = None,
    filter: Optional[
        "capo_inspector.types.assessment_template_filter.AssessmentTemplateFilter"
    ] = None,
    next_token: Optional[
        "capo_inspector.types.pagination_token.PaginationToken"
    ] = None,
    max_results: Optional[
        "capo_inspector.types.list_max_results.ListMaxResults"
    ] = None,
) -> "capo_inspector.types.list_assessment_templates_response.ListAssessmentTemplatesResponse":
    """<p>Lists the assessment templates that correspond to the assessment targets that are specified by the ARNs of the assessment targets.</p>

    Args:
        assessment_target_arns: <p>A list of ARNs that specifies the assessment targets whose assessment templates you want to list.</p>
        filter: <p>You can use this parameter to specify a subset of data to be included in the action's response.</p> <p>For a record to match a filter, all specified filter attributes must match. When multiple values are specified for a filter attribute, any of the values can match.</p>
        next_token: <p>You can use this parameter when paginating results. Set the value of this parameter to null on your first call to the <b>ListAssessmentTemplates</b> action. Subsequent calls to the action fill <b>nextToken</b> in the request with the value of <b>NextToken</b> from the previous response to continue listing data.</p>
        max_results: <p>You can use this parameter to indicate the maximum number of items you want in the response. The default value is 10. The maximum value is 500.</p>

    Raises:
        capo_inspector.errors.access_denied_exception.AccessDeniedException: <p>You do not have required permissions to access the requested resource.</p>
        capo_inspector.errors.internal_exception.InternalException: <p>Internal server error.</p>
        capo_inspector.errors.invalid_input_exception.InvalidInputException: <p>The request was rejected because an invalid or out-of-range value was supplied for an input parameter.</p>
        capo_inspector.errors.no_such_entity_exception.NoSuchEntityException: <p>The request was rejected because it referenced an entity that does not exist. The error code describes the entity.</p>
        capo_inspector.errors.UnknownServiceError: The service returned an error code this client does not model.

    Examples:
        List assessment templates
        Lists the assessment templates that correspond to the assessment targets that are specified by the ARNs of the assessment targets.

        >>> client.list_assessment_templates(assessment_target_arns=['arn:aws:inspector:us-west-2:123456789012:target/0-0kFIPusq'], max_results=123)
    """

    def _handler(
        req: "OperationRequest[capo_inspector.types.list_assessment_templates_request.ListAssessmentTemplatesRequest]",
    ) -> OperationResponse[
        "capo_inspector.types.list_assessment_templates_response.ListAssessmentTemplatesResponse"
    ]:
        import capo_inspector._operations.inspector_service.list_assessment_templates

        output, http_response = (
            capo_inspector._operations.inspector_service.list_assessment_templates.list_assessment_templates(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListAssessmentTemplates")
    )
    input_: capo_inspector.types.list_assessment_templates_request.ListAssessmentTemplatesRequest = {}
    if assessment_target_arns is not None:
        input_["assessment_target_arns"] = assessment_target_arns
    if filter is not None:
        input_["filter"] = filter
    if next_token is not None:
        input_["next_token"] = next_token
    if max_results is not None:
        input_["max_results"] = max_results

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