<｜begin▁of▁sentence｜>### Instruction:
Imagine we're working on a project to map out a new water distribution system for a local community that merges two existing networks. To model this scenario, we aim to simulate the system using a Barbell Graph, where m1 equals 3, indicating three distribution sites on one side, and m2 equals 2 for two sites on the other side.

We want to organize the system's data in a way that each distribution site and connecting pipeline is easily identifiable. To accomplish this, we plan to create a comprehensive JSON data structure. Each distribution site, represented as a 'node', needs to convey two main attributes: an 'id' to uniquely identify it and a 'label' to provide human-readable identification. Similarly, each pipeline, represented as an 'edge', should include a 'source' and 'target' to specify the connection between distribution sites and an additional 'label' for identification or classification purposes.

Can you restructure our water distribution network data into this JSON format, ensuring it communicates the distinct elements of the Barbell Graph based on the m1 and m2 parameters mentioned? This will help us effectively integrate and simulate the environmental impact within our project's management system.
### Response:
import networkx as nx

# Parameters for the Barbell Graph
m1 = 3  # Number of nodes in each of the two complete graphs
m2 = 2  # Number of nodes in the path connecting the two bells

# Creating a Barbell Graph using NetworkX
G = nx.barbell_graph(m1, m2)

# Getting nodes and edges with labels
nodes = [{'id': n, 'label': f'Node {n}'} for n in G.nodes()]
edges = [{'source': u, 'target': v, 'label': f'Edge {u}-{v}'} for u, v in G.edges()]

# Creating the JSON object
graph_json = {
    'graph_nodes': nodes,
    'graph_edges': edges
}

# Display the JSON object
print(graph_json)
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