【企业级Java Agent实现】完整包结构与核心代码详解 ——基于Maven多模块的标准化Agent开发框架

一、项目结构规范（Maven多模块）

ai-agent-parent/  
├── agent-core/                  # 核心抽象模块
│   ├── src/main/java/com/example/agent/
│   │   ├── core/  
│   │   │   ├── BaseAgent.java       # Agent基类
│   │   │   ├── AgentManager.java    # Agent生命周期管理
│   │   ├── config/  
│   │   │   ├── ClusterConfig.java   # 集群配置
│   │   │   ├── AgentProperties.java # 参数配置
│   │   ├── model/  
│   │   │   ├── AgentMeta.java       # 元数据模型
│   │   │   ├── TaskMessage.java     # 任务消息体
├── agent-monitor/              # 监控Agent实现模块
│   ├── src/main/java/com/example/agent/monitor/
│   │   ├── MonitorAgent.java       # 监控Agent实现
│   │   ├── SystemMetrics.java      # 系统指标采集
├── agent-scheduler/            # 调度中心模块
│   ├── src/main/java/com/example/agent/scheduler/
│   │   ├── TaskDispatcher.java     # 任务分发器
│   │   ├── ShardingStrategy.java   # 分片策略
├── agent-example/              # 使用示例模块
│   ├── src/main/java/com/example/agent/demo/
│   │   ├── Application.java        # 启动类
│   ├── src/main/resources/
│   │   ├── application.yml         # 配置文件

二、核心代码实现（含完整包名）

1. Agent基类（核心抽象）

package com.example.agent.core;

import io.vertx.core.AbstractVerticle;
import io.vertx.core.eventbus.Message;
import io.vertx.core.json.JsonObject;

public abstract class BaseAgent extends AbstractVerticle {
    protected final JsonObject config;
    
    public BaseAgent(JsonObject config) {
        this.config = config;
    }

    @Override
    public void start() {
        // 注册事件处理器
        vertx.eventBus().consumer(getEventAddress(), this::handleMessage);
        // 初始化定时任务
        initScheduledTask();
    }

    protected abstract String getEventAddress();
    protected abstract void handleMessage(Message<JsonObject> message);
    protected abstract void initScheduledTask();
}

2. 监控Agent实现

package com.example.agent.monitor;

import com.example.agent.core.BaseAgent;
import io.vertx.core.json.JsonObject;

public class MonitorAgent extends BaseAgent {
    private static final String MONITOR_ADDRESS = "agent.monitor";
    private final SystemMetricsCollector collector;

    public MonitorAgent(JsonObject config) {
        super(config);
        this.collector = new SystemMetricsCollector();
    }

    @Override
    protected String getEventAddress() {
        return MONITOR_ADDRESS;
    }

    @Override
    protected void handleMessage(Message<JsonObject> msg) {
        JsonObject metrics = collector.collect();
        vertx.eventBus().publish(MONITOR_ADDRESS, metrics);
    }

    @Override
    protected void initScheduledTask() {
        vertx.setPeriodic(5000L, id -> {
            // 定时采集指标
            JsonObject metrics = collector.collect();
            vertx.eventBus().send("metrics.report", metrics);
        });
    }
}

三、配置类与依赖管理

1. 集群配置类

// 文件路径: agent-core/src/main/java/com/example/agent/config/ClusterConfig.java
package com.example.agent.config;

import io.vertx.core.VertxOptions;
import io.vertx.spi.cluster.hazelcast.HazelcastClusterManager;
import com.hazelcast.config.Config;
import com.hazelcast.config.JoinConfig;

public class ClusterConfig {
    public static VertxOptions buildClusterOptions() {
        Config hazelcastConfig = new Config()
            .setClusterName("agent-cluster")
            .getNetworkConfig()
            .setPort(5701)
            .setJoin(new JoinConfig().setMulticastConfig(
                new MulticastConfig().setEnabled(true)));

        return new VertxOptions()
            .setClusterManager(new HazelcastClusterManager(hazelcastConfig))
            .setClusterHost("192.168.1.0/24");
    }
}

2. Maven依赖配置（pom.xml）

<!-- 父POM依赖管理 -->
<dependencyManagement>
    <dependencies>
        <dependency>
            <groupId>io.vertx</groupId>
            <artifactId>vertx-stack-depchain</artifactId>
            <version>4.5.7</version>
            <type>pom</type>
            <scope>import</scope>
        </dependency>
        <dependency>
            <groupId>com.hazelcast</groupId>
            <artifactId>hazelcast</artifactId>
            <version>5.4.0</version>
        </dependency>
    </dependencies>
</dependencyManagement>

<!-- Agent Core模块依赖 -->
<dependencies>
    <dependency>
        <groupId>io.vertx</groupId>
        <artifactId>vertx-core</artifactId>
    </dependency>
    <dependency>
        <groupId>io.vertx</groupId>
        <artifactId>vertx-hazelcast</artifactId>
    </dependency>
    <dependency>
        <groupId>com.fasterxml.jackson.core</groupId>
        <artifactId>jackson-databind</artifactId>
        <version>2.17.1</version>
    </dependency>
</dependencies>

四、启动类与配置文件

1. Spring Boot启动类

// 文件路径: agent-example/src/main/java/com/example/agent/demo/Application.java
package com.example.agent.demo;

import com.example.agent.config.ClusterConfig;
import io.vertx.core.Vertx;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;

@SpringBootApplication
public class Application {
    public static void main(String[] args) {
        Vertx.clusteredVertx(ClusterConfig.buildClusterOptions(), ar -> {
            if (ar.succeeded()) {
                Vertx vertx = ar.result();
                // 部署监控Agent
                vertx.deployVerticle(new MonitorAgent(new JsonObject()));
                SpringApplication.run(Application.class, args);
            }
        });
    }
}

2. application.yml配置

# 文件路径: agent-example/src/main/resources/application.yml
agent:
  cluster:
    name: production-cluster
    port: 5701
    members: 192.168.1.100,192.168.1.101
  monitor:
    interval: 5000    # 采集间隔(ms)
    thresholds:
      cpu: 80         # CPU告警阈值(%)
      memory: 90      # 内存告警阈值(%)

五、企业级扩展实现

1. 自定义分片策略

// 文件路径: agent-scheduler/src/main/java/com/example/agent/scheduler/ConsistentHashShard.java
package com.example.agent.scheduler;

import java.util.SortedMap;
import java.util.TreeMap;

public class ConsistentHashShard {
    private final SortedMap<Integer, String> ring = new TreeMap<>();
    private static final int VIRTUAL_NODES = 160;

    public void addNode(String nodeId) {
        for (int i = 0; i < VIRTUAL_NODES; i++) {
            int hash = getHash(nodeId + "#" + i);
            ring.put(hash, nodeId);
        }
    }

    public String getNode(String key) {
        if (ring.isEmpty()) return null;
        int hash = getHash(key);
        SortedMap<Integer, String> tailMap = ring.tailMap(hash);
        return tailMap.isEmpty() ? ring.get(ring.firstKey()) : tailMap.get(tailMap.firstKey());
    }

    private int getHash(String key) {
        // FNV1_32_HASH算法实现
        final int p = 16777619;
        int hash = (int) 2166136261L;
        for (byte b : key.getBytes()) {
            hash = (hash ^ b) * p;
        }
        hash += hash << 13;
        hash ^= hash >> 7;
        hash += hash << 3;
        hash ^= hash >> 17;
        return Math.abs(hash);
    }
}

六、部署与监控

1. Docker部署配置

FROM eclipse-temurin:17-jdk-jammy
WORKDIR /app
COPY agent-example/target/agent-example-1.0.0.jar ./
EXPOSE 8080 5701
CMD ["java", "-jar", "agent-example-1.0.0.jar"]

2. Prometheus监控指标

# prometheus.yml 配置片段
scrape_configs:
  - job_name: 'java-agent'
    metrics_path: '/actuator/prometheus'
    static_configs:
      - targets: ['agent1:8080', 'agent2:8080']