java Neo4j 实现设备出现故障匹配相应解决方案的概率计算的示例代码?
时间: 2024-01-21 10:17:26 浏览: 106
基于Neo4j的Java实现金河市公交线路系统设计源码
以下是一个简单的示例代码,用于计算设备出现故障匹配相应解决方案的概率:
```java
import org.neo4j.driver.AuthTokens;
import org.neo4j.driver.Driver;
import org.neo4j.driver.GraphDatabase;
import org.neo4j.driver.Session;
import org.neo4j.driver.Transaction;
import org.neo4j.driver.Value;
import org.neo4j.driver.types.Node;
import java.util.HashMap;
import java.util.Map;
public class FaultProbabilityCalculator {
private final Driver driver;
public FaultProbabilityCalculator(String uri, String username, String password) {
driver = GraphDatabase.driver(uri, AuthTokens.basic(username, password));
}
public double calculateProbability(String deviceType, String faultType) {
try (Session session = driver.session()) {
Map<String, Object> parameters = new HashMap<>();
parameters.put("deviceType", deviceType);
parameters.put("faultType", faultType);
return session.readTransaction(tx -> {
Node deviceNode = tx.run(
"MATCH (d:Device {type: $deviceType}) RETURN d",
parameters)
.single()
.get("d")
.asNode();
Node faultNode = tx.run(
"MATCH (f:Fault {type: $faultType}) RETURN f",
parameters)
.single()
.get("f")
.asNode();
double total = 0;
double count = 0;
for (Node solutionNode : deviceNode.getRelationships()
.iterator()
.stream()
.filter(relationship -> relationship.getType().name().equals("HAS_SOLUTION"))
.map(relationship -> relationship.getEndNode())
.toArray(Node[]::new)) {
double probability = (double) solutionNode.get("probability").asDouble();
total += probability;
for (Node relatedFaultNode : solutionNode.getRelationships()
.iterator()
.stream()
.filter(relationship -> relationship.getType().name().equals("SOLVES"))
.map(relationship -> relationship.getStartNode())
.toArray(Node[]::new)) {
if (relatedFaultNode.getId() == faultNode.getId()) {
count += probability;
break;
}
}
}
return count / total;
});
}
}
public void close() {
driver.close();
}
}
```
该示例代码使用 Neo4j 驱动程序连接到 Neo4j 数据库,然后查询与设备类型和故障类型相关的节点和关系,计算与解决方案相关的概率,并返回与指定故障匹配的解决方案的概率。使用时,您需要更改连接字符串、用户名和密码以及查询字符串,以适应您的数据库架构和查询需求。
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