for testing and deploying your application
for finding and fixing issues
for empowering human code reviews
from ..oval_tree.converter import Converter
from .client_arf_input import ClientArfInput
from .client_html_output import ClientHtmlOutput
class ArfToHtml(ClientArfInput, ClientHtmlOutput):
def __init__(self, args):
super().__init__(args)
self.hide_passing_tests = self.arg.hide_passing_tests
def _get_message(self):
return {
'command_name': 'arf-to-graph',
'description': 'Client for visualization of SCAP rule evaluation results',
'source_filename': 'ARF scan file',
}
def create_dict_of_rule(self, rule_id):
oval_tree = self.arf_xml_parser.get_oval_tree(rule_id)
converter = Converter(oval_tree)
return converter.to_js_tree_dict(self.hide_passing_tests)
def _put_to_dict_oval_trees(self, dict_oval_trees, rule):
dict_oval_trees[rule] = self.create_dict_of_rule(rule)
def prepare_parser(self, parser):
super().prepare_parser(parser)
self.prepare_args_when_output_is_html(parser)
self.prepare_args_when_user_can_list_in_rules(parser)
OpenSCAP /
oval-graph
