octagonal_graph

Complexity

Total Complexity

2

Size/Duplication

Total Lines	45
Duplicated Lines	0 %

Importance

Changes

0

1 Function

Rating	Name	Duplication	Size	Complexity
A	edge()	0	5	2

import graphinate

N: int = 8

# First Define a GraphModel instance.
# It will be used to hold the graph definitions
graph_model: graphinate.GraphModel = graphinate.model(name="Octagonal Graph")

# Register in the Graph Model the edges' supplier generator function
@graph_model.edge()
def edge():
    for i in range(N):
        yield {'source': i, 'target': i + 1}
    yield {'source': N, 'target': 0}


# Use the NetworkX Builder
builder = graphinate.builders.NetworkxBuilder(graph_model)

# build the NetworkX GraphRepresentation
# the output in this case is a nx.Graph instance
graph = builder.build()

# this supplied plot method uses matplotlib to display the graph
graphinate.matplotlib.plot(graph, with_edge_labels=True)

# or use the Mermaid Builder
builder = graphinate.builders.MermaidBuilder(graph_model)

# to create a Mermaid diagram
diagram: str = builder.build()

# and get Markdown or single page HTML to display it
mermaid_markdown: str = graphinate.mermaid.markdown(diagram)
mermaid_html: str = graphinate.mermaid.html(diagram, title=graph_model.name)

# or use the GraphQL Builder
builder = graphinate.builders.GraphQLBuilder(graph_model)

# to create a Strawberry GraphQL schema
schema = builder.build()

# and serve it using Uvicorn web server
graphinate.graphql.server(schema)