C++ 代码实现高性能异构分布式代码规范格式化系统
任务分配模块
负责将代码文件分配到不同的节点上。
// TaskAllocator.h
#ifndef TASK_ALLOCATOR_H
#define TASK_ALLOCATOR_H
#include <vector>
#include <string>
class TaskAllocator {
public:
std::vector<std::string> allocateTasks(const std::vector<std::string>& files, int nodeCount);
};
#endif // TASK_ALLOCATOR_H
// TaskAllocator.cpp
#include "TaskAllocator.h"
std::vector<std::string> TaskAllocator::allocateTasks(const std::vector<std::string>& files, int nodeCount) {
std::vector<std::string> allocatedTasks(nodeCount);
for (size_t i = 0; i < files.size(); ++i) {
allocatedTasks[i % nodeCount] += files[i] + " ";
}
return allocatedTasks;
}
代码格式化模块
在每个节点上对接收到的代码文件进行格式化。
// CodeFormatter.h
#ifndef CODE_FORMATTER_H
#define CODE_FORMATTER_H
#include <string>
class CodeFormatter {
public:
std::string formatCode(const std::string& code);
};
#endif // CODE_FORMATTER_H
// CodeFormatter.cpp
#include "CodeFormatter.h"
#include <algorithm>
std::string CodeFormatter::formatCode(const std::string& code) {
std::string formattedCode = code;
std::replace(formattedCode.begin(), formattedCode.end(), '\t', ' ');
// 添加更多的代码格式化规则
return formattedCode;
}
通信模块
实现节点之间的通信,确保任务的分发和结果的回传。
// Communication.h
#ifndef COMMUNICATION_H
#define COMMUNICATION_H
#include <string>
class Communication {
public:
void sendTask(const std::string& task, const std::string& nodeAddress);
std::string receiveTaskResult(const std::string& nodeAddress);
};
#endif // COMMUNICATION_H
// Communication.cpp
#include "Communication.h"
#include <iostream>
void Communication::sendTask(const std::string& task, const std::string& nodeAddress) {
// 模拟发送任务到节点
std::cout << "Sending task to " << nodeAddress << ": " << task << std::endl;
}
std::string Communication::receiveTaskResult(const std::string& nodeAddress) {
// 模拟从节点接收任务结果
std::string result = "Formatted code from " + nodeAddress;
std::cout << "Receiving result from " << nodeAddress << ": " << result << std::endl;
return result;
}
任务调度模块
负责管理任务的调度和负载均衡。
// TaskScheduler.h
#ifndef TASK_SCHEDULER_H
#define TASK_SCHEDULER_H
#include <vector>
#include <string>
#include "TaskAllocator.h"
#include "CodeFormatter.h"
#include "Communication.h"
class TaskScheduler {
public:
void scheduleTasks(const std::vector<std::string>& files, const std::vector<std::string>& nodeAddresses);
};
#endif // TASK_SCHEDULER_H
// TaskScheduler.cpp
#include "TaskScheduler.h"
void TaskScheduler::scheduleTasks(const std::vector<std::string>& files, const std::vector<std::string>& nodeAddresses) {
TaskAllocator allocator;
Communication communicator;
CodeFormatter formatter;
int nodeCount = nodeAddresses.size();
auto allocatedTasks = allocator.allocateTasks(files, nodeCount);
for (int i = 0; i < nodeCount; ++i) {
communicator.sendTask(allocatedTasks[i], nodeAddresses[i]);
std::string result = communicator.receiveTaskResult(nodeAddresses[i]);
std::string formattedCode = formatter.formatCode(result);
// 处理格式化后的代码
}
}
主程序
// main.cpp
#include <iostream>
#include "TaskScheduler.h"
int main() {
std::vector<std::string> files = {"file1.cpp", "file2.cpp", "file3.cpp"};
std::vector<std::string> nodeAddresses = {"node1", "node2", "node3"};
TaskScheduler scheduler;
scheduler.scheduleTasks(files, nodeAddresses);
return 0;
}
上述代码展示了一个高性能异构分布式代码规范格式化系统的基本实现。实际使用中,可以根据具体需求进一步优化和扩展这些模块。
Python 代码实现高性能异构分布式代码规范格式化系统
任务分配模块
负责将代码文件分配到不同的节点上。
# task_allocator.py
class TaskAllocator:
def allocate_tasks(self, files, node_count):
allocated_tasks = [[] for _ in range(node_count)]
for i, file in enumerate(files):
allocated_tasks[i % node_count].append(file)
return allocated_tasks
代码格式化模块
在每个节点上对接收到的代码文件进行格式化。
# code_formatter.py
class CodeFormatter:
def format_code(self, code):
formatted_code = code.replace('\t', ' ')
# 添加更多的代码格式化规则
return formatted_code
通信模块
实现节点之间的通信,确保任务的分发和结果的回传。
# communication.py
import socket
class Communication:
def __init__(self, port):
self.port = port
def send_task(self, task, node_address):
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
s.connect((node_address, self.port))
s.sendall(task.encode('utf-8'))
def receive_task_result(self):
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
s.bind(('', self.port))
s.listen()
conn, addr = s.accept()
with conn:
result = conn.recv(1024).decode('utf-8')
return result
任务调度模块
负责管理任务的调度和负载均衡。
# task_scheduler.py
from task_allocator import TaskAllocator
from code_formatter import CodeFormatter
from communication import Communication
class TaskScheduler:
def __init__(self, port):
self.port = port
def schedule_tasks(self, files, node_addresses):
allocator = TaskAllocator()
formatter = CodeFormatter()
communicator = Communication(self.port)
node_count = len(node_addresses)
allocated_tasks = allocator.allocate_tasks(files, node_count)
for i in range(node_count):
task = " ".join(allocated_tasks[i])
communicator.send_task(task, node_addresses[i])
result = communicator.receive_task_result()
formatted_code = formatter.format_code(result)
print(f"Formatted code from {node_addresses[i]}: {formatted_code}")
主程序
# main.py
from task_scheduler import TaskScheduler
if __name__ == "__main__":
files = ["file1.cpp", "file2.cpp", "file3.cpp"]
node_addresses = ["node1", "node2", "node3"]
port = 12345
scheduler = TaskScheduler(port)
scheduler.schedule_tasks(files, node_addresses)
上述代码展示了一个高性能异构分布式代码规范格式化系统的基本实现。实际使用中,可以根据具体需求进一步优化和扩展这些模块。请确保在实际部署中,所有节点都运行相应的服务器代码来处理接收到的任务。