{ "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 16:08:19 浏览: 123
要将data.json中的数据存入Neo4j数据库,你可以使用py2neo库来实现。首先,你需要安装py2neo库,可以使用以下命令进行安装:
```
pip install py2neo
```
然后,你可以使用以下代码将数据存入Neo4j数据库:
```python
from py2neo import Graph, Node, Relationship
import json
# 连接到Neo4j数据库
graph = Graph("bolt://localhost:7687", auth=("neo4j", "password"))
# 读取data.json文件
with open('data.json') as f:
data = json.load(f)
# 创建唯一约束
graph.run("CREATE CONSTRAINT ON (s:Subject) ASSERT s.ppid IS UNIQUE")
graph.run("CREATE CONSTRAINT ON (o:Object) ASSERT o.name IS UNIQUE")
# 遍历数据并创建节点和关系
for item in data:
subject_data = item['subject']
object_data = item['object']
edge_data = item['edge']
# 创建起点节点和终点节点
subject = Node("Subject", ppid=subject_data['ppid'], pid=subject_data['pid'], comm=subject_data['comm'],
exe=subject_data['exe'], uid=subject_data['uid'], cwd=subject_data['cwd'])
object = Node("Object", name=object_data['name'], nametype=object_data['nametype'],
inode=object_data['inode'], mode=object_data['mode'])
# 创建关系
edge = Relationship(subject, edge_data['syscall'], object,
msg=edge_data['msg'], arch=edge_data['arch'],
success=edge_data['success'], exit=edge_data['exit'],
key=edge_data['key'], proctitle=edge_data['proctitle'],
item=edge_data['item'])
# 将节点和关系添加到图中
graph.merge(subject)
graph.merge(object)
graph.merge(edge)
# 提交事务
graph.commit()
```
请确保你已经安装并配置了Neo4j数据库,并将上述代码中的数据库连接信息与实际情况相匹配。另外,你还需要将data.json文件放置在与Python脚本相同的目录下。
这样,数据就会被存储到Neo4j数据库中,其中subject节点和object节点会进行去重处理。
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