Python操作系统的6个自动化脚本小结

import shutil  
import os  
  
source_folder = '/path/to/source'  
destination_folder = '/path/to/destination'  
  
def backup_folder(src, dst):  
    if not os.path.exists(dst):  
        os.makedirs(dst)  
    for item in os.listdir(src):  
        s = os.path.join(src, item)  
        d = os.path.join(dst, item)  
        if os.path.isdir(s):  
            shutil.copytree(s, d, dirs_exist_ok=True)  
        else:  
            shutil.copy2(s, d)  
  
backup_folder(source_folder, destination_folder)

import psutil  
import smtplib  
from email.mime.text import MIMEText  
from email.mime.multipart import MIMEMultipart  
  
def check_cpu_usage():  
    cpu_percent = psutil.cpu_percent(interval=1)  
    if cpu_percent > 80:  
        send_alert(f"CPU Usage High: {cpu_percent}%")  
  
def send_alert(message):  
    # 发送邮件的代码（略），需要SMTP服务器配置  
    pass  
  
check_cpu_usage()

import requests  
  
def check_website(url):  
    try:  
        response = requests.get(url)  
        response.raise_for_status()  # 如果响应状态码不是200，将抛出HTTPError异常  
        print(f"{url} is up.")  
    except requests.RequestException as e:  
        print(f"{url} is down: {e}")  
  
check_website("http://example.com")

import subprocess  
  
def install_git():  
    subprocess.run(['sudo', 'apt-get', 'update'], check=True)  
    subprocess.run(['sudo', 'apt-get', 'install', 'git'], check=True)  
  
install_git()

import pandas as pd  
  
def process_csv(file_path):  
    df = pd.read_csv(file_path)  
    # 假设进行一些数据分析  
    summary = df.describe()  
    print(summary)  
    # 可以将结果保存到新文件或数据库中  
  
process_csv('data.csv')

import schedule  
import time  
  
def job():  
    print("Hello, World!")  
  
schedule.every(10).seconds.do(job)  
  
while True:  
    schedule.run_pending()  
    time.sleep(1)