代码实现高性能分布式异构邮件管理系统

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Python 代码实现高性能分布式异构邮件管理系统

用户管理模块（User Management Module）

用户注册与登录用户权限管理

# user_management.py
from flask import Flask, request, jsonify
from werkzeug.security import generate_password_hash, check_password_hash

app = Flask(__name__)

# In-memory user store for demonstration purposes
users = {}

@app.route('/register', methods=['POST'])
def register():
    data = request.get_json()
    username = data.get('username')
    password = data.get('password')
    if username in users:
        return jsonify({'message': 'User already exists'}), 400
    users[username] = generate_password_hash(password)
    return jsonify({'message': 'User registered successfully'}), 201

@app.route('/login', methods=['POST'])
def login():
    data = request.get_json()
    username = data.get('username')
    password = data.get('password')
    if username not in users or not check_password_hash(users[username], password):
        return jsonify({'message': 'Invalid credentials'}), 401
    return jsonify({'message': 'Login successful'}), 200

if __name__ == '__main__':
    app.run(debug=True)

邮件处理模块（Email Processing Module）

邮件发送与接收邮件存储与检索

# email_processing.py
from flask import Flask, request, jsonify
from collections import defaultdict
import uuid

app = Flask(__name__)

# In-memory email store for demonstration purposes
mailboxes = defaultdict(list)

@app.route('/send', methods=['POST'])
def send_email():
    data = request.get_json()
    email_id = str(uuid.uuid4())
    email = {
        'id': email_id,
        'from': data.get('from'),
        'to': data.get('to'),
        'subject': data.get('subject'),
        'body': data.get('body'),
        'status': 'sent'
    }
    mailboxes[email['to']].append(email)
    return jsonify({'message': 'Email sent', 'id': email_id}), 201

@app.route('/inbox/<username>', methods=['GET'])
def get_inbox(username):
    return jsonify({'emails': mailboxes[username]}), 200

if __name__ == '__main__':
    app.run(debug=True)

分布式存储模块（Distributed Storage Module）

邮件数据的分布式存储数据一致性与容错机制

# distributed_storage.py
from pymongo import MongoClient

client = MongoClient('mongodb://localhost:27017/')
db = client.email_system

def save_email(email):
    db.emails.insert_one(email)

def get_emails(username):
    return list(db.emails.find({'to': username}))

def init_db():
    db.emails.create_index('to')

# Initialize the database
init_db()

负载均衡模块（Load Balancing Module）

请求的分发与调度服务器状态监控与流量管理

# load_balancing.py
from flask import Flask, request, jsonify
import random

app = Flask(__name__)

# List of available servers
servers = ['server1:5000', 'server2:5000', 'server3:5000']

@app.route('/forward', methods=['POST'])
def forward_request():
    server = random.choice(servers)
    data = request.get_json()
    # Forward the request to the chosen server
    response = requests.post(f'http://{server}/process', json=data)
    return jsonify(response.json()), response.status_code

if __name__ == '__main__':
    app.run(debug=True)

异构计算模块（Heterogeneous Computing Module）

利用CPU、GPU等加速邮件处理任务分配与并行计算

# heterogeneous_computing.py
import concurrent.futures
import time

def cpu_intensive_task(data):
    # Simulate CPU-intensive task
    time.sleep(2)
    return f'Processed by CPU: {data}'

def gpu_intensive_task(data):
    # Simulate GPU-intensive task
    time.sleep(1)
    return f'Processed by GPU: {data}'

def process_tasks(tasks):
    results = []
    with concurrent.futures.ThreadPoolExecutor() as executor:
        future_cpu = executor.submit(cpu_intensive_task, tasks['cpu'])
        future_gpu = executor.submit(gpu_intensive_task, tasks['gpu'])
        results.append(future_cpu.result())
        results.append(future_gpu.result())
    return results

安全与隐私模块（Security and Privacy Module）

数据加密与解密用户隐私保护

# security.py
from cryptography.fernet import Fernet

# Generate a key for encryption
key = Fernet.generate_key()
cipher = Fernet(key)

def encrypt_data(data):
    return cipher.encrypt(data.encode())

def decrypt_data(data):
    return cipher.decrypt(data).decode()

# Example usage
encrypted = encrypt_data('Sensitive information')
print(f'Encrypted: {encrypted}')
print(f'Decrypted: {decrypt_data(encrypted)}')

日志与监控模块（Logging and Monitoring Module）

系统日志记录运行状态监控与告警

# logging_monitoring.py
import logging
from flask import Flask

app = Flask(__name__)

# Configure logging
logging.basicConfig(level=logging.INFO)

@app.route('/log', methods=['POST'])
def log_event():
    data = request.get_json()
    logging.info(f"Event: {data['event']}")
    return '', 204

@app.route('/health', methods=['GET'])
def health_check():
    return 'OK', 200

if __name__ == '__main__':
    app.run(debug=True)

结合与部署

所有这些模块可以通过API互相通信，并且可以部署在不同的服务器上，以实现高性能的分布式异构邮件管理系统。

# main.py
from flask import Flask, request, jsonify
import requests

app = Flask(__name__)

# Assume that the different modules are running on different servers
USER_SERVICE = 'http://localhost:5001'
EMAIL_SERVICE = 'http://localhost:5002'
STORAGE_SERVICE = 'http://localhost:5003'
LOAD_BALANCER = 'http://localhost:5004'
SECURITY_SERVICE = 'http://localhost:5005'
LOGGING_SERVICE = 'http://localhost:5006'

@app.route('/register', methods=['POST'])
def register():
    data = request.get_json()
    response = requests.post(f'{USER_SERVICE}/register', json=data)
    return jsonify(response.json()), response.status_code

@app.route('/login', methods=['POST'])
def login():
    data = request.get_json()
    response = requests.post(f'{USER_SERVICE}/login', json=data)
    return jsonify(response.json()), response.status_code

@app.route('/send', methods=['POST'])
def send_email():
    data = request.get_json()
    response = requests.post(f'{LOAD_BALANCER}/forward', json=data)
    return jsonify(response.json()), response.status_code

@app.route('/inbox/<username>', methods=['GET'])
def get_inbox(username):
    response = requests.get(f'{EMAIL_SERVICE}/inbox/{username}')
    return jsonify(response.json()), response.status_code

if __name__ == '__main__':
    app.run(debug=True)

总结

这个高性能分布式异构邮件管理系统通过模块化设计，实现了用户管理、邮件处理、分布式存储、负载均衡、异构计算、安全隐私保护以及日志监控等功能。各模块之间通过API互相通信，能够有效利用不同的计算资源，提升系统的性能和可靠性。

C++ 代码实现高性能分布式异构邮件管理系统