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89 lines
No EOL
4.2 KiB
Python
89 lines
No EOL
4.2 KiB
Python
from modules.galaxy import Galaxy
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from modules.cluster import Cluster
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from collections import defaultdict, deque
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class Universe:
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def __init__(self, add_inbound_relationship=False):
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self.galaxies = {} # Maps galaxy_name to Galaxy objects
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self.add_inbound_relationship = add_inbound_relationship
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self.private_clusters = {}
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def add_galaxy(self, galaxy_name, json_file_name, authors, description):
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if galaxy_name not in self.galaxies:
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self.galaxies[galaxy_name] = Galaxy(galaxy_name=galaxy_name, json_file_name=json_file_name, authors=authors, description=description)
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def add_cluster(self, galaxy_name, uuid, description, value, meta):
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if galaxy_name in self.galaxies:
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self.galaxies[galaxy_name].add_cluster(uuid=uuid, description=description, value=value, meta=meta)
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def define_relationship(self, cluster_a_id, cluster_b_id):
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cluster_a = None
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cluster_b = None
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if cluster_a_id == cluster_b_id:
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return
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# Search for Cluster A and Cluster B in all galaxies
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for galaxy in self.galaxies.values():
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if cluster_a_id in galaxy.clusters:
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cluster_a = galaxy.clusters[cluster_a_id]
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if cluster_b_id in galaxy.clusters:
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cluster_b = galaxy.clusters[cluster_b_id]
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if cluster_a and cluster_b:
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break
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# If both clusters are found, define the relationship
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if cluster_a and cluster_b:
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cluster_a.add_outbound_relationship(cluster_b)
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cluster_b.add_inbound_relationship(cluster_a)
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else:
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if cluster_a:
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# private_cluster = self.add_cluster(uuid=cluster_b_id, galaxy_name="Unknown", description=None, value="Private Cluster", meta=None)
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private_cluster = Cluster(uuid=cluster_b_id, galaxy=None, description=None, value="Private Cluster", meta=None)
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self.private_clusters[cluster_b_id] = private_cluster
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cluster_a.add_outbound_relationship(private_cluster)
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else:
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raise ValueError(f"Cluster {cluster_a} not found in any galaxy")
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def get_relationships_with_levels(self, start_cluster):
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def bfs_with_undirected_relationships(start_cluster):
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visited = set() # Tracks whether a cluster has been visited
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relationships = defaultdict(lambda: float('inf')) # Tracks the lowest level for each cluster pair
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queue = deque([(start_cluster, 0)]) # Queue of (cluster, level)
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while queue:
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current_cluster, level = queue.popleft()
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if current_cluster not in visited:
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visited.add(current_cluster)
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# Process all relationships regardless of direction
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if self.add_inbound_relationship:
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neighbors = current_cluster.outbound_relationships.union(current_cluster.inbound_relationships)
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else:
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neighbors = current_cluster.outbound_relationships
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for neighbor in neighbors:
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link = frozenset([current_cluster, neighbor])
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if level + 1 < relationships[link]:
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relationships[link] = level + 1
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if neighbor not in visited and neighbor.value != "Private Cluster":
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queue.append((neighbor, level + 1))
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# Convert the defaultdict to a list of tuples, ignoring direction
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processed_relationships = []
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for link, lvl in relationships.items():
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# Extract clusters from the frozenset; direction is irrelevant
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clusters = list(link)
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# Arbitrarily choose the first cluster as 'source' for consistency
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if clusters[0].value == "Private Cluster":
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processed_relationships.append((clusters[1], clusters[0], lvl))
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else:
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processed_relationships.append((clusters[0], clusters[1], lvl))
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return processed_relationships
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return bfs_with_undirected_relationships(start_cluster) |