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# 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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# 修改后的查询语句，使用INCLUDES关系类型
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query = """
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MATCH p=()-[r:INCLUDES]->()
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RETURN p LIMIT 250
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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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# 提取起始节点
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start_node = item['p'].start_node
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# 提取结束节点
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end_node = item['p'].end_node
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net.add_node(start_node.identity,
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label=start_node['name'],
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title=start_node.get('description', ''),
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group=list(start_node.labels)[0])
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net.add_node(end_node.identity,
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label=end_node['name'],
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title=end_node.get('description', ''),
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group=list(end_node.labels)[0])
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net.add_edge(start_node.identity,
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end_node.identity,
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title="INCLUDES")
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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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