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39 lines
1.1 KiB
39 lines
1.1 KiB
# conda activate rag
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# pip install py2neo pyvis
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from py2neo import Graph
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from pyvis.network import Network
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from Config import Config
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# 连接Neo4j
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graph = Graph(Config.NEO4J_URI, auth=Config.NEO4J_AUTH)
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# 查询所有知识点节点和关系
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query = """
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MATCH (n:KnowledgePoint)-[r]->(m)
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RETURN n, r, m
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"""
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data = graph.run(query).data()
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# 创建网络图
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net = Network(height="750px", width="100%", notebook=True, cdn_resources='in_line')
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# 添加节点和边
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for item in data:
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net.add_node(item['n'].identity,
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label=item['n']['name'],
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title=item['n'].get('description', ''))
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net.add_node(item['m'].identity,
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label=item['m']['name'],
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title=item['m'].get('description', ''))
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net.add_edge(item['n'].identity,
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item['m'].identity,
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title=type(item['r']).__name__)
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# 生成HTML文件
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with open("knowledge_graph.html", "w", encoding='utf-8') as f:
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f.write(net.generate_html())
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# 打开HTML文件
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import webbrowser
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webbrowser.open("knowledge_graph.html")
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