Projects/Graph_Database_Simulation.py

50 lines
1.6 KiB
Python

class GraphDB:
def __init__(self):
self.nodes = {} # node_id -> properties
self.edges = {} # node_id -> set of connected node_ids
def add_node(self, node_id, **properties):
self.nodes[node_id] = properties
self.edges.setdefault(node_id, set())
def add_edge(self, from_node, to_node):
if from_node in self.nodes and to_node in self.nodes:
self.edges[from_node].add(to_node)
self.edges[to_node].add(from_node) # undirected graph
def get_node(self, node_id):
return self.nodes.get(node_id)
def get_neighbors(self, node_id):
return self.edges.get(node_id, set())
def find_nodes_by_property(self, key, value):
return [nid for nid, props in self.nodes.items() if props.get(key) == value]
def shortest_path(self, start, end):
from collections import deque
visited = set()
queue = deque([(start, [start])])
while queue:
current, path = queue.popleft()
if current == end:
return path
visited.add(current)
for neighbor in self.edges.get(current, []):
if neighbor not in visited:
queue.append((neighbor, path + [neighbor]))
return None
g = GraphDB()
g.add_node("A", type="Person", name="Alice")
g.add_node("B", type="Person", name="Bob")
g.add_node("C", type="City", name="Phoenix")
g.add_edge("A", "B")
g.add_edge("A", "C")
g.add_edge("B", "C")
print(g.get_neighbors("A")) # {'B', 'C'}
print(g.find_nodes_by_property("type", "Person")) # ['A', 'B']
print(g.shortest_path("B", "C")) # ['B', 'A', 'C']