import time
import threading
import psutil
import smtplib
import logging
from datetime import datetime
import schedule
import winsound
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
import platform
import os
import gc
import requests
import json
class XiaoxingService:
def __init__(self, config_path="C:/xiaoxing/config.json"):
"""
初始化AI服务
:param config_path: 配置文件路径
"""
self.running = True
self.last_optimized = None
self.config = self.load_config(config_path)
self.setup_logging()
self.setup_tasks()
logging.info("小星AI服务初始化完成")
def load_config(self, path):
"""加载配置文件"""
default_config = {
"notification_email": None,
"smtp_server": "smtp.example.com",
"smtp_port": 587,
"smtp_user": "xiaoxing@example.com",
"smtp_pass": "your_password",
"knowledge_sources": [
"https://api.tech-news.com/v1/latest",
"https://ai-research-updates.org/feed"
],
"optimization_threshold": {
"cpu": 80,
"memory": 85
},
"log_path": "C:/xiaoxing/service.log",
"icon_path": "C:/xiaoxing/icon.ico",
"knowledge_db": "C:/xiaoxing/knowledge.db"
}
try:
with open(path, 'r') as f:
return json.load(f)
except FileNotFoundError:
logging.warning("配置文件未找到，使用默认配置")
return default_config
except json.JSONDecodeError:
logging.error("配置文件格式错误，使用默认配置")
return default_config
def setup_logging(self):
"""配置日志系统"""
logging.basicConfig(
filename=self.config["log_path"],
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
filemode='a'
)
# 添加控制台输出
console = logging.StreamHandler()
console.setLevel(logging.INFO)
formatter = logging.Formatter('%(levelname)s: %(message)s')
console.setFormatter(formatter)
logging.getLogger().addHandler(console)
def setup_tasks(self):
"""设置定时任务"""
# 系统维护任务
schedule.every().day.at("02:00").do(self.optimize_system)
schedule.every(30).minutes.do(self.check_system)
# 知识管理任务
schedule.every().hour.do(self.update_knowledge)
schedule.every().monday.at("04:00").do(self.self_evolve)
# 健康报告任务
schedule.every().day.at("08:00").do(self.daily_health_report)
logging.info("定时任务已设置")
def optimize_system(self):
"""执行系统优化"""
logging.info("开始系统优化")
try:
# 记录优化前的状态
cpu_before = psutil.cpu_percent(interval=1)
mem_before = psutil.virtual_memory().percent
# 执行优化操作
self.clean_memory()
self.optimize_resources()
# 记录优化结果
cpu_after = psutil.cpu_percent(interval=1)
mem_after = psutil.virtual_memory().percent
msg = (f"系统优化完成！\n"
f"CPU使用率: {cpu_before}% → {cpu_after}%\n"
f"内存使用率: {mem_before}% → {mem_after}%")
logging.info(msg)
self.notify("系统优化报告", msg)
self.last_optimized = datetime.now()
except Exception as e:
logging.error(f"优化失败: {str(e)}")
self.notify("优化失败", str(e))
def clean_memory(self):
"""内存清理优化"""
# 跨平台内存清理
if platform.system() == 'Windows':
try:
import ctypes
ctypes.windll.kernel32.SetProcessWorkingSetSize(-1, 0xFFFFFFFF, 0xFFFFFFFF)
except Exception:
pass
else:
# Linux/macOS 内存清理
os.system('sync && echo 3 > /proc/sys/vm/drop_caches')
# Python内部垃圾回收
gc.collect()
def optimize_resources(self):
"""优化系统资源使用"""
# 清理临时文件
temp_dir = os.path.join(os.environ.get('TEMP', '/tmp'), 'xiaoxing_cache')
if os.path.exists(temp_dir):
for filename in os.listdir(temp_dir):
file_path = os.path.join(temp_dir, filename)
try:
if os.path.isfile(file_path):
os.unlink(file_path)
except Exception as e:
logging.warning(f"无法删除临时文件 {file_path}: {str(e)}")
def update_knowledge(self):
"""更新知识库"""
logging.info("开始更新知识库")
try:
new_knowledge = []
for source in self.config["knowledge_sources"]:
try:
response = requests.get(source, timeout=10)
if response.status_code == 200:
# 实际应用中需要解析不同格式的数据
# 这里简化为直接保存原始数据
new_knowledge.append(f"来源: {source}\n内容: {response.text[:200]}...")
except requests.RequestException as e:
logging.warning(f"知识源 {source} 获取失败: {str(e)}")
if new_knowledge:
with open(self.config["knowledge_db"], "a", encoding="utf-8") as f:
f.write(f"\n\n=== 更新于 {datetime.now()} ===\n")
f.write("\n".join(new_knowledge))
msg = f"获取 {len(new_knowledge)} 条新知识"
logging.info(msg)
self.notify("知识库更新", msg)
else:
logging.info("本次未获取到新知识")
except Exception as e:
logging.error(f"知识库更新失败: {str(e)}")
self.notify("知识更新错误", str(e))
def check_system(self):
"""监控系统状态"""
cpu_percent = psutil.cpu_percent(interval=1)
mem_percent = psutil.virtual_memory().percent
disk_percent = psutil.disk_usage('/').percent if platform.system() != 'Windows' else psutil.disk_usage('C:').percent
logging.info(f"系统状态: CPU={cpu_percent}%, 内存={mem_percent}%, 磁盘={disk_percent}%")
# 检查阈值
thresholds = self.config["optimization_threshold"]
if cpu_percent > thresholds["cpu"]:
self.handle_high_cpu(cpu_percent)
if mem_percent > thresholds["memory"]:
self.handle_high_memory(mem_percent)
def handle_high_cpu(self, usage):
"""处理高CPU使用率"""
logging.warning(f"CPU使用率过高: {usage}%")
# 找出高CPU进程
processes = []
for proc in psutil.process_iter(['pid', 'name', 'cpu_percent']):
try:
if proc.info['cpu_percent'] > 10: # 筛选高CPU进程
processes.append(proc.info)
except (psutil.NoSuchProcess, psutil.AccessDenied):
pass
# 按CPU使用率排序
processes.sort(key=lambda x: x['cpu_percent'], reverse=True)
# 生成报告
report = f"当前CPU使用率: {usage}%\n"
report += "高CPU进程:\n"
for i, proc in enumerate(processes[:5], 1):
report += f"{i}. {proc['name']} (PID:{proc['pid']}) - {proc['cpu_percent']:.1f}%\n"
self.notify("CPU使用率警告", report)
# 如果最近15分钟内没有优化过，执行优化
if not self.last_optimized or (datetime.now() - self.last_optimized).seconds > 900:
self.optimize_system()
def handle_high_memory(self, usage):
"""处理高内存使用率"""
logging.warning(f"内存使用率过高: {usage}%")
self.notify("内存警告", f"当前内存使用率: {usage}%")
self.clean_memory()
def self_evolve(self):
"""执行自我进化"""
logging.info("启动自我进化协议")
try:
# 模拟进化过程
improvements = [
"神经网络架构升级: 引入注意力机制",
"知识图谱扩展: 新增10万实体关系",
"推理引擎优化: 响应速度提升40%",
"安全模块强化: 量子加密算法集成"
]
# 生成进化报告
report = "进化完成！主要改进:\n"
for i, imp in enumerate(improvements, 1):
report += f"{i}. {imp}\n"
logging.info(report)
self.notify("自我进化报告", report)
self.play_sound_alert()
except Exception as e:
logging.error(f"进化失败: {str(e)}")
self.notify("进化失败", str(e))
def daily_health_report(self):
"""生成每日健康报告"""
logging.info("生成每日健康报告")
try:
# 获取系统指标
cpu_avg = psutil.cpu_percent(interval=1)
mem_usage = psutil.virtual_memory().percent
disk_usage = psutil.disk_usage('/').percent if platform.system() != 'Windows' else psutil.disk_usage('C:').percent
# 获取网络状态
net_io = psutil.net_io_counters()
# 构建报告
report = (
"小星AI每日健康报告\n"
"===================\n"
f"CPU平均使用率: {cpu_avg}%\n"
f"内存使用率: {mem_usage}%\n"
f"磁盘使用率: {disk_usage}%\n"
f"网络流量: 接收 {net_io.bytes_recv/1024/1024:.2f}MB / 发送 {net_io.bytes_sent/1024/1024:.2f}MB\n"
f"运行时间: {self.get_uptime()}\n"
"===================\n"
"系统状态: 一切正常 ✅"
)
logging.info(report)
self.notify("每日健康报告", report)
except Exception as e:
logging.error(f"健康报告生成失败: {str(e)}")
def get_uptime(self):
"""获取服务运行时间"""
if hasattr(self, 'start_time'):
uptime = datetime.now() - self.start_time
days = uptime.days
hours, remainder = divmod(uptime.seconds, 3600)
minutes, _ = divmod(remainder, 60)
return f"{days}天 {hours}小时 {minutes}分钟"
return "未知"
def play_sound_alert(self):
"""播放声音提示"""
try:
if platform.system() == 'Windows':
winsound.Beep(1000, 500)
else:
# Linux/Mac 使用系统声音
os.system('afplay /System/Library/Sounds/Ping.aiff' if platform.system() == 'Darwin'
else 'paplay /usr/share/sounds/freedesktop/stereo/complete.oga')
except Exception:
pass
def notify(self, title, message):
"""发送通知"""
# 系统通知
self.show_system_notification(title, message)
# 邮件通知
if self.config.get("notification_email"):
self.send_email(title, message)
def show_system_notification(self, title, message):
"""显示系统通知"""
try:
if platform.system() == 'Windows':
from win10toast import ToastNotifier
toaster = ToastNotifier()
toaster.show_toast(
title,
message,
icon_path=self.config.get("icon_path", ""),
duration=10
)
elif platform.system() == 'Darwin': # macOS
os.system(f"osascript -e 'display notification \"{message}\" with title \"{title}\"'")
else: # Linux
os.system(f'notify-send "{title}" "{message}"')
except Exception as e:
logging.warning(f"系统通知失败: {str(e)}")
def send_email(self, subject, body):
"""发送邮件通知"""
try:
msg = MIMEMultipart()
msg['Subject'] = subject
msg['From'] = self.config["smtp_user"]
msg['To'] = self.config["notification_email"]
msg.attach(MIMEText(body, 'plain'))
with smtplib.SMTP(self.config["smtp_server"], self.config["smtp_port"]) as server:
server.starttls()
server.login(self.config["smtp_user"], self.config["smtp_pass"])
server.send_message(msg)
logging.info("邮件通知已发送")
except Exception as e:
logging.error(f"邮件发送失败: {str(e)}")
def run(self):
"""启动服务主循环"""
logging.info("小星AI后台服务启动")
self.start_time = datetime.now()
self.notify("小星AI服务", "后台服务已启动，开始24小时运行")
# 定时任务线程
def schedule_runner():
while self.running:
schedule.run_pending()
time.sleep(1)
threading.Thread(target=schedule_runner, daemon=True).start()
# 主循环
try:
while self.running:
time.sleep(60)
except KeyboardInterrupt:
self.stop()
def stop(self):
"""停止服务"""
self.running = False
logging.info("服务停止中...")
self.notify("小星AI服务", "后台服务已安全停止")
logging.info("服务已停止")
if __name__ == "__main__":
service = XiaoxingService()
try:
service.run()
except Exception as e:
logging.critical(f"服务崩溃: {str(e)}")
service.notify("服务崩溃", str(e))
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本文介绍了如何在MacOSX中使用osascript命令实现远程控制和管理，包括自动登录、重启、退出等操作，并提供了常见问题的解决方案。
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