python监控近一年CPU，内存 磁盘空间并绘制折线图且报警

你可以使用Python的psutil库获取系统CPU、内存和磁盘空间的使用情况，使用matplotlib库绘制折线图，使用smtplib库发送邮件报警。

以下是一个简单的示例代码：

import psutil
import matplotlib.pyplot as plt
import datetime
import time
import smtplib
from email.mime.text import MIMEText
from email.header import Header

# 发送邮件报警
def send_email_alert(subject, content):
    mail_host = "smtp.xxx.com"  # 邮箱服务器地址
    mail_user = "your_email"    # 邮箱账号
    mail_pass = "your_password" # 邮箱密码
    sender = 'your_email'       # 发件人邮箱
    receivers = ['receiver_email'] # 收件人邮箱列表

    message = MIMEText(content, 'plain', 'utf-8')
    message['From'] = Header("System Monitor", 'utf-8')
    message['To'] = Header("Admin", 'utf-8')
    message['Subject'] = Header(subject, 'utf-8')

    try:
        smtpObj = smtplib.SMTP_SSL(mail_host, 465)
        smtpObj.login(mail_user, mail_pass)
        smtpObj.sendmail(sender, receivers, message.as_string())
        smtpObj.quit()
        print("邮件发送成功")
    except smtplib.SMTPException as e:
        print("Error: 无法发送邮件")
        print(e)

# 获取CPU、内存和磁盘空间使用情况
def get_system_info():
    cpu_percent = psutil.cpu_percent()
    mem_percent = psutil.virtual_memory().percent
    disk_percent = psutil.disk_usage('/').percent
    return cpu_percent, mem_percent, disk_percent

# 绘制折线图
def plot_line_chart(x, y, title, xlabel, ylabel):
    fig, ax = plt.subplots()
    ax.plot(x, y)
    ax.set(xlabel=xlabel, ylabel=ylabel, title=title)
    ax.grid()
    plt.show()

# 监控近一年系统使用情况
def monitor_system():
    # 初始化数据
    cpu_data = []
    mem_data = []
    disk_data = []
    time_data = []

    # 监控近一年系统使用情况
    for i in range(365):
        cpu_percent, mem_percent, disk_percent = get_system_info()
        cpu_data.append(cpu_percent)
        mem_data.append(mem_percent)
        disk_data.append(disk_percent)
        time_data.append(datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"))
        time.sleep(3600) # 每隔一个小时获取一次数据

    # 绘制折线图
    plot_line_chart(time_data, cpu_data, 'CPU Usage', 'Time', 'CPU Usage (%)')
    plot_line_chart(time_data, mem_data, 'Memory Usage', 'Time', 'Memory Usage (%)')
    plot_line_chart(time_data, disk_data, 'Disk Usage', 'Time', 'Disk Usage (%)')

    # 发送邮件报警
    if max(cpu_data) >= 90:
        subject = 'CPU usage is too high!'
        content = 'The CPU usage is {}% at {}.'.format(max(cpu_data), time_data[cpu_data.index(max(cpu_data))])
        send_email_alert(subject, content)

    if max(mem_data) >= 90:
        subject = 'Memory usage is too high!'
        content = 'The memory usage is {}% at {}.'.format(max(mem_data), time_data[mem_data.index(max(mem_data))])
        send_email_alert(subject, content)

    if max(disk_data) >= 90:
        subject = 'Disk usage is too high!'
        content = 'The disk usage is {}% at {}.'.format(max(disk_data), time_data[disk_data.index(max(disk_data))])
        send_email_alert(subject, content)

if __name__ == '__main__':
    monitor_system()

这个示例代码会每隔一个小时获取一次系统CPU、内存和磁盘空间的使用情况，并绘制近一年的折线图。如果某个指标的最大值超过90%，则会发送邮件报警。你需要将`your_email`和`your_password`替换成实际的邮箱账号和密码，将`mail_host`替换成实际的邮箱服务器地址，将`receiver_email`替换成实际的收件人邮箱。