def _nice_virtual_path_list(self, virtual_path_list: List[str]) -> List[str]:
path_list = []
for virtual_path in virtual_path_list:
uid_list = split_virtual_path(virtual_path)
components = [
self._virtual_path_element_to_span(hid, uid, root_uid=uid_list[0])
for hid, uid in zip(split_virtual_path(self._filter_replace_uid_with_hid(virtual_path)), uid_list)
]
path_list.append(' '.join(components))
return path_list
def create_data_graph_nodes_and_groups(data, parent_uid, root_uid, whitelist):
data_graph = {
'nodes': [],
'edges': [],
'groups': []
}
groups = []
for file in data:
mime = file['processed_analysis']['file_type']['mime']
if mime not in whitelist or root_uid not in file['virtual_file_path']:
continue
if mime not in groups:
groups.append(mime)
virtual_paths = file['virtual_file_path'][root_uid]
for vpath in virtual_paths:
path_components = split_virtual_path(vpath)
if len(path_components) < 2:
continue
name_component = path_components[-1]
parent_component = path_components[-2]
if parent_component != parent_uid:
continue
linked_libraries = []
elf_analysis_missing = 'elf_analysis' not in file['processed_analysis']
with suppress(KeyError):
linked_libraries = file['processed_analysis']['elf_analysis']['Output']['libraries']
node = {
'label': name_component,
'id': vpath,
'entity': file['_id'],
'group': mime,
'full_file_type': file['processed_analysis']['file_type']['full'],
'linked_libraries': linked_libraries,
'elf_analysis_missing': elf_analysis_missing
}
data_graph['nodes'].append(node)
data_graph['groups'] = sorted(groups)
return data_graph