misp-galaxy/tools/mkdocs/modules/universe.py

110 lines
4.5 KiB
Python

from modules.galaxy import Galaxy
from modules.cluster import Cluster
from collections import defaultdict, deque
class Universe:
def __init__(self, add_inbound_relationship=False):
self.galaxies = {} # Maps galaxy_name to Galaxy objects
self.add_inbound_relationship = add_inbound_relationship
self.private_clusters = {}
def add_galaxy(self, galaxy_name, json_file_name, authors, description):
if galaxy_name not in self.galaxies:
self.galaxies[galaxy_name] = Galaxy(
galaxy_name=galaxy_name,
json_file_name=json_file_name,
authors=authors,
description=description,
)
def add_cluster(self, galaxy_name, uuid, description, value, meta):
if galaxy_name in self.galaxies:
self.galaxies[galaxy_name].add_cluster(
uuid=uuid, description=description, value=value, meta=meta
)
def define_relationship(self, cluster_a_id, cluster_b_id):
cluster_a = None
cluster_b = None
if cluster_a_id == cluster_b_id:
return
# Search for Cluster A and Cluster B in all galaxies
for galaxy in self.galaxies.values():
if cluster_a_id in galaxy.clusters:
cluster_a = galaxy.clusters[cluster_a_id]
if cluster_b_id in galaxy.clusters:
cluster_b = galaxy.clusters[cluster_b_id]
if cluster_a and cluster_b:
break
# If both clusters are found, define the relationship
if cluster_a and cluster_b:
cluster_a.add_outbound_relationship(cluster_b)
cluster_b.add_inbound_relationship(cluster_a)
else:
if cluster_a:
# private_cluster = self.add_cluster(uuid=cluster_b_id, galaxy_name="Unknown", description=None, value="Private Cluster", meta=None)
private_cluster = Cluster(
uuid=cluster_b_id,
galaxy=None,
description=None,
value="Private Cluster",
meta=None,
)
self.private_clusters[cluster_b_id] = private_cluster
cluster_a.add_outbound_relationship(private_cluster)
else:
raise ValueError(f"Cluster {cluster_a} not found in any galaxy")
def get_relationships_with_levels(self, start_cluster):
def bfs_with_undirected_relationships(start_cluster):
visited = set() # Tracks whether a cluster has been visited
relationships = defaultdict(
lambda: float("inf")
) # Tracks the lowest level for each cluster pair
queue = deque([(start_cluster, 0)]) # Queue of (cluster, level)
while queue:
current_cluster, level = queue.popleft()
if current_cluster not in visited:
visited.add(current_cluster)
# Process all relationships regardless of direction
if self.add_inbound_relationship:
neighbors = current_cluster.outbound_relationships.union(
current_cluster.inbound_relationships
)
else:
neighbors = current_cluster.outbound_relationships
for neighbor in neighbors:
link = frozenset([current_cluster, neighbor])
if level + 1 < relationships[link]:
relationships[link] = level + 1
if (
neighbor not in visited
and neighbor.value != "Private Cluster"
):
queue.append((neighbor, level + 1))
# Convert the defaultdict to a list of tuples, ignoring direction
processed_relationships = []
for link, lvl in relationships.items():
# Extract clusters from the frozenset; direction is irrelevant
clusters = list(link)
# Arbitrarily choose the first cluster as 'source' for consistency
if clusters[0].value == "Private Cluster":
processed_relationships.append((clusters[1], clusters[0], lvl))
else:
processed_relationships.append((clusters[0], clusters[1], lvl))
return processed_relationships
return bfs_with_undirected_relationships(start_cluster)