下载地址：http://lanzou.co/i3daaebf3
项目编译入口：
package.json
# Folder : zhengshengchengjellyjisuanhexitong
# Files : 26
# Size : 88.7 KB
# Generated: 2026-03-25 19:59:31
zhengshengchengjellyjisuanhexitong/
├── config/
│ ├── Converter.json
│ ├── Factory.properties
│ ├── Handler.xml
│ ├── Resolver.properties
│ └── application.properties
├── filters/
│ └── Listener.java
├── package.json
├── pom.xml
├── port/
│ ├── Controller.py
│ └── Loader.py
├── prompt/
│ ├── Provider.py
│ └── Wrapper.go
├── src/
│ ├── main/
│ │ ├── java/
│ │ │ ├── Buffer.java
│ │ │ ├── Client.java
│ │ │ ├── Manager.java
│ │ │ ├── Observer.java
│ │ │ ├── Registry.java
│ │ │ └── Transformer.java
│ │ └── resources/
│ └── test/
│ └── java/
├── task/
│ └── Queue.js
├── transformer/
│ ├── Executor.go
│ └── Server.js
├── view/
└── websocket/
├── Cache.go
├── Helper.py
└── Pool.js
zhengshengchengjellyjisuanhexitong：一个多语言计算系统
简介
zhengshengchengjellyjisuanhexitong（简称ZJC系统）是一个创新的多语言混合计算框架，旨在解决复杂计算任务中的跨语言协作问题。该系统巧妙地将Java、Python和Go语言集成在一起，通过统一的配置管理和消息传递机制，实现了高效的计算资源调度和任务处理。
系统采用模块化设计，每个组件都有明确的职责边界。核心思想是通过配置文件定义计算流程，利用不同语言的优势处理特定类型的任务：Java负责内存管理和并发控制，Python擅长数据处理和算法实现，Go则处理高性能的网络通信。
核心模块说明
配置管理模块
位于config/目录，包含多种格式的配置文件：
application.properties：系统全局配置Converter.json：数据转换规则定义Factory.properties：对象工厂配置Handler.xml：处理器链配置Resolver.properties：依赖解析配置
端口适配模块
port/目录包含系统入口点：
Controller.py：Python编写的控制层，负责接收和分发计算请求Loader.py：系统启动加载器
提示处理模块
prompt/目录处理计算提示和包装：
Provider.py：计算提示生成器Wrapper.go：Go语言编写的计算结果包装器
核心业务模块
src/main/java/包含Java核心类：
Buffer.java：数据缓冲区管理Client.java：客户端通信接口Manager.java：系统管理器
过滤器模块
filters/目录包含事件监听器：
Listener.java：系统事件监听器
代码示例
1. 系统配置示例
首先查看config/application.properties中的基础配置：
# 系统基础配置
system.name=zhengshengchengjellyjisuanhexitong
system.version=1.0.0
calculation.thread.pool.size=10
max.buffer.size=1048576
default.timeout=30000
# 语言执行器配置
java.executor.class=com.zjc.JavaExecutor
python.executor.path=/usr/bin/python3
go.executor.path=/usr/local/go/bin
# 日志配置
log.level=INFO
log.path=./logs/zjc.log
数据转换规则定义在config/Converter.json中：
{
"converters": [
{
"name": "json_to_xml",
"source_format": "json",
"target_format": "xml",
"processor": "xml.Converter",
"priority": 1
},
{
"name": "csv_to_json",
"source_format": "csv",
"target_format": "json",
"processor": "data.Transformer",
"priority": 2
}
],
"default_encoding": "UTF-8",
"enable_validation": true
}
2. Java核心类实现
src/main/java/Buffer.java展示了数据缓冲区的实现：
package com.zhengshengchengjellyjisuanhexitong;
import java.util.concurrent.ArrayBlockingQueue;
import java.util.concurrent.BlockingQueue;
public class Buffer<T> {
private final BlockingQueue<T> queue;
private final int capacity;
private volatile boolean isActive;
public Buffer(int capacity) {
this.capacity = capacity;
this.queue = new ArrayBlockingQueue<>(capacity);
this.isActive = true;
}
public void put(T item) throws InterruptedException {
if (!isActive) {
throw new IllegalStateException("Buffer is not active");
}
queue.put(item);
}
public T take() throws InterruptedException {
return queue.take();
}
public int size() {
return queue.size();
}
public int remainingCapacity() {
return queue.remainingCapacity();
}
public void shutdown() {
isActive = false;
queue.clear();
}
public boolean isActive() {
return isActive;
}
}
src/main/java/Manager.java展示了系统管理器的核心逻辑：
```java
package com.zhengshengchengjellyjisuanhexitong;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.Future;
public class Manager {
private final ExecutorService executorService;
private final ConcurrentHashMap> tasks;
private final Buffer taskBuffer;
public Manager(int threadPoolSize, int bufferCapacity) {
this.executorService = Executors.newFixedThreadPool(threadPoolSize);
this.tasks = new ConcurrentHashMap<>();
this.taskBuffer = new Buffer<>(bufferCapacity);
startTaskDispatcher();
}
private void startTaskDispatcher() {
Thread dispatcher = new Thread(() -> {
while (!Thread.currentThread().isInterrupted()) {
try {
CalculationTask task = taskBuffer.take();
Future<?> future = executorService.submit(() -> {
try {
return executeTask(task);
} catch (Exception e) {
handleTaskError(task, e);
return null;
}
});
tasks.put(task.getId(), future);
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
break;
}
}
});
dispatcher.setDaemon(true);
