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import networkx as nx |
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import graphinate |
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# import graphinate.modeling |
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from graphinate import GraphModel |
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def polygonal_graph_edges(edges_count: int): |
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for i in range(1, edges_count): |
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yield {'source': i, 'target': i + 1} |
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yield {'source': edges_count, 'target': 1} |
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def polygonal_graph_model(name: str, number_of_sides: int) -> graphinate.GraphModel: |
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""" |
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Create a polygonal graph model. |
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Args: |
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name (str): The Graph's name. |
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number_of_sides (int): Number of sides in the polygon. |
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Returns: |
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GraphModel: A graph model representing a polygonal graph. |
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""" |
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# Define GraphModel |
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graph_model: GraphModel = graphinate.model(name) |
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# Register edges supplier function |
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@graph_model.edge() |
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def edge(): |
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yield from polygonal_graph_edges(number_of_sides) |
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return graph_model |
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# instantiated here to be used to cli serving |
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model = polygonal_graph_model("Octagonal Graph", 8) |
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if __name__ == '__main__': |
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# 1. Define Graph Builder |
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builder = graphinate.builders.NetworkxBuilder(model) |
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# Then |
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# 2. Build the Graph object |
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graph: nx.Graph = builder.build() |
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# Then |
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# 3. Option A - Output to console |
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print(graph) |
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# Or |
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# 3. Option B - Output as a plot |
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graphinate.renderers.matplotlib.plot(graph) |
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# Alternatively, |
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# 4. Define a GraphQL Builder |
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builder = graphinate.builders.GraphQLBuilder(model) |
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schema = builder.build() |
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graphinate.graphql.server(schema, port=9077) |
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erivlis /
graphinate
