neo4j 实现知识图谱的异常归因分析相关代码

以下是一个简单的示例代码，演示如何使用Neo4j实现知识图谱的异常归因分析：

from neo4j import GraphDatabase

# 连接Neo4j数据库
uri = "bolt://localhost:7687"
username = "your_username"
password = "your_password"

driver = GraphDatabase.driver(uri, auth=(username, password))

def run_cypher_query(query):
    with driver.session() as session:
        result = session.run(query)
        return result

# 创建节点
def create_node(label, properties):
    properties_str = ', '.join([f'{key}: "{value}"' for key, value in properties.items()])
    query = f'CREATE (n:{label} {{{properties_str}}}) RETURN n'
    run_cypher_query(query)

# 创建关系
def create_relationship(start_node_id, end_node_id, relationship_type, properties):
    properties_str = ', '.join([f'{key}: "{value}"' for key, value in properties.items()])
    query = f'MATCH (a), (b) WHERE ID(a)={start_node_id} AND ID(b)={end_node_id} CREATE (a)-[r:{relationship_type} {{{properties_str}}}]->(b) RETURN r'
    run_cypher_query(query)

# 查询异常归因路径
def find_causal_path(start_entity_id, end_entity_id):
    query = f'MATCH path = shortestPath((a)-[*]-(b)) WHERE ID(a)={start_entity_id} AND ID(b)={end_entity_id} RETURN path'
    result = run_cypher_query(query)
    
    for record in result:
        path = record['path']
        print(path)

# 示例：创建节点和关系
create_node('Entity', {'name': 'A'})
create_node('Entity', {'name': 'B'})
create_node('Entity', {'name': 'C'})
create_relationship(1, 2, 'RELATION', {'property1': 'value1'})
create_relationship(2, 3, 'RELATION', {'property2': 'value2'})

# 示例：查找异常归因路径
find_causal_path(1, 3)

# 关闭数据库连接
driver.close()

请注意，这只是一个简单的示例代码，你需要根据自己的需求进行适当的修改和扩展。你可以根据实际情况定义更多的节点和关系类型，并编写适合的查询语句来实现你的异常归因分析。