{ "subject": { "ppid": "5341", "pid": "19579", "comm": "sudo", "exe": "/usr/bin/sudo", "uid": "1000", "cwd": "/home/cat" }, "object": { "name": "/home/cat/.sudo_as_admin_successful", "nametype": "NORMAL", "inode": "555692", "mode": "0100644" }, "edge": { "msg": "audit(1688031643.790:306888):", "arch": "c000003e", "syscall": "257", "success": "no", "exit": "-17", "key": "(null)", "proctitle": "7375646F002F6574632F696E69742E642F6175646974640072657374617274", "item": "1" } ,data.json存储如上格式的数据,利用Python将data.json存入neo4j,subject为起点,object为终点,edge为subject与object之间的关系,要求对subject和object去重,不需要对, },
时间: 2023-07-21 12:08:19 浏览: 131
Dell PPID/Serial Number Validator:检查戴尔序列号年龄-开源
您可以使用以下Python代码将data.json中的数据存入Neo4j数据库。
```python
from neo4j import GraphDatabase
import json
# 连接Neo4j数据库
uri = "bolt://localhost:7687"
user = "neo4j"
password = "your_password"
driver = GraphDatabase.driver(uri, auth=(user, password))
def create_node(tx, node_data):
# 创建或获取节点
tx.run('''MERGE (n:Node {name: $name})''', name=node_data['name'])
def create_relationship(tx, rel_data):
# 创建关系
tx.run('''MATCH (s:Node {name: $subject_name}), (o:Node {name: $object_name})
MERGE (s)-[:RELATIONSHIP {msg: $msg, arch: $arch, syscall: $syscall, success: $success,
exit: $exit, key: $key, proctitle: $proctitle, item: $item}]->(o)''',
subject_name=rel_data['subject']['name'], object_name=rel_data['object']['name'],
msg=rel_data['edge']['msg'], arch=rel_data['edge']['arch'], syscall=rel_data['edge']['syscall'],
success=rel_data['edge']['success'], exit=rel_data['edge']['exit'], key=rel_data['edge']['key'],
proctitle=rel_data['edge']['proctitle'], item=rel_data['edge']['item'])
# 读取data.json文件
with open('data.json') as file:
data = json.load(file)
# 将数据存入Neo4j
with driver.session() as session:
for entry in data:
session.write_transaction(create_node, entry['subject'])
session.write_transaction(create_node, entry['object'])
session.write_transaction(create_relationship, entry)
# 关闭数据库连接
driver.close()
```
请确保已经安装了neo4j和neo4j-driver库,并将代码中的URI、用户名和密码替换为您自己的Neo4j数据库的连接信息。同时,将data.json文件与Python代码放在同一目录下,并确保data.json的格式正确。
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