dsProject/dsRag/Neo4j/N3_KG_Zsd_Graph.py

# conda activate rag
# pip install py2neo pyvis
from py2neo import Graph
from pyvis.network import Network
from Config import Config

# 连接Neo4j
graph = Graph(Config.NEO4J_URI, auth=Config.NEO4J_AUTH)

# 查询所有知识点节点和关系
query = """
MATCH (n:KnowledgePoint)-[r]->(m)
RETURN n, r, m
"""
data = graph.run(query).data()

# 创建网络图
net = Network(height="750px", width="100%", notebook=True, cdn_resources='in_line')

# 添加节点和边
for item in data:
    node_label = item['n'].get('name', '未命名')
    net.add_node(item['n'].identity, 
                label=node_label,
                name=node_label,
                font={'size': 14, 'face': 'SimHei'})
    
    node_label = item['m'].get('name', '未命名')
    net.add_node(item['m'].identity, 
                label=node_label,
                name=node_label,
                font={'size': 14, 'face': 'SimHei'})
    
    net.add_edge(item['n'].identity, 
                item['m'].identity, 
                title=type(item['r']).__name__)

# 生成HTML文件
with open("knowledge_graph.html", "w", encoding='utf-8') as f:
    f.write(net.generate_html())
# 打开HTML文件
import webbrowser
webbrowser.open("knowledge_graph.html")