自动处理 monitoring/management 和 Python

Question

是的，所以我有一个 python 进程，它一直运行，甚至可能在 Supervisor 上。实现以下监控的最佳方式是什么？

如果进程崩溃，发送警报并重新启动。我想在每次进程崩溃时自动接收信号并自动重新启动它。
如果进程过时发送警报并重新启动，即 1 分钟内没有处理任何东西。
按需重启

我希望通过 Python 实现以上所有目标。我知道 Supervisord 会完成大部分工作，但我想看看是否可以通过 Python 本身来完成。

Answer 1

我想你要找的是 Supervisor Events。 http://supervisord.org/events.html

另请查看 Superlance，它是一个插件实用程序包，用于监视和控制运行在监督下的进程。 [https://superlance.readthedocs.org/en/latest/]

您可以配置崩溃电子邮件、崩溃短信、内存消耗警报、HTTP 挂钩等内容。

Answer 2

嗯，如果你想要一个本土解决方案，这就是我能想到的。

在 redis 中维护实际和预期的进程状态。您可以通过创建一个 Web 界面来检查实际状态并更改预期状态，以您想要的方式对其进行监控。

运行 crontab 中的 python 脚本用于检查状态并在需要时采取适当的操作。在这里，我每 3 秒检查一次，并使用 SES 通过电子邮件提醒管理员。

免责声明：代码尚未运行或测试。现在才写的，所以容易出错

打开 crontab 文件：

$crontab -e

在它的末尾添加这一行，使 run_process.sh 运行每分钟。

#Runs this process every 1 minute.
*/1 * * * * bash ~/path/to/run_monitor.sh

run_moniter.sh 运行是 python 脚本。它运行每 3 秒进入一个 for 循环。

这是因为 crontab 给出的最小时间间隔为 1 分钟。我们想每 3 秒检查一次进程，共 20 次（3 秒 * 20 = 1 分钟）。所以它会运行一分钟，然后 crontab 运行再次启动它。

run_monitor.sh

for count in {0..20}
do
    cd '/path/to/check_status'
    /usr/local/bin/python check_status.py "myprocessname" "python startcommand.py"
    sleep 3 #check every 3 seconds.
done

这里我假设：

*状态 0 = 停止或停止（预期与实际）

*状态-1 = 重启

*状态 1 = 运行或运行ning

您可以根据自己的方便添加更多状态，陈旧的过程也可以是一种状态。

我已经使用进程名来杀死或启动或检查进程，您可以轻松修改它以读取特定的 PID 文件。

check_status.py

import sys
import redis
import subprocess

import sys
import boto.ses


def send_mail(recipients, message_subject, message_body):
    """
    uses AWS SES to send mail.
    """
    SENDER_MAIL = 'xxx@yyy.com'
    AWS_KEY = 'xxxxxxxxxxxxxxxxxxx'
    AWS_SECRET = 'xxxxxxxxxxxxxxxxxxx'
    AWS_REGION = 'xx-xxxx-x'

    mail_conn = boto.ses.connect_to_region(AWS_REGION, 
                                           aws_access_key_id=AWS_KEY, 
                                           aws_secret_access_key=AWS_SECRET
                                           )

    mail_conn.send_email(SENDER_MAIL, message_subject, message_body, recipient, format='html')
    return True

class Shell(object):
    '''
    Convinient Wrapper over Subprocess.
    '''
    def __init__(self, command, raise_on_error=True):
        self.command = command
        self.output = None
        self.error = None
        self.return_code

    def run(self):
        try:
            process = subprocess.Popen(self.command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
            self.return_code = process.wait()
            self.output, self.error = process.communicate()
            if self.return_code and self.raise_on_error:
                print self.error
                raise Exception("Error while executing %s::%s"%(self.command, self.error))    
        except subprocess.CalledProcessError:
            print self.error
            raise Exception("Error while executing %s::%s"%(self.command, self.error))


redis_client = redis.Redis('xxxredis_hostxxx')

def get_state(process_name, state_type): #state_type will be expected or actual.
    state = redis.get('{process_name}_{state_type}_state'.format(process_name=process_name, state_type=state_type)) #value could be 0 or 1
    return state

def set_state(process_name, state_type, state): #state_type will be expected or actual.
    state = redis.set('{process_name}_{state_type}_state'.format(process_name=process_name, state_type=state_type), state)
    return state

def get_stale_state(process_name):
    state = redis.get('{process_name}_stale_state'.format(process_name=process_name)) #value could be 0 or 1
    return state

def check_running_status(process_name):
    command = "ps -ef|grep {process_name}|wc -l".format(process_name=process_name)
    shell = Shell(command = command)
    shell.run()
    if shell.output=='0':
        return False
    return True

def start_process(start_command): #pass start_command with a '&' so the process starts in the background.
    shell = Shell(command = command)
    shell.run()

def stop_process(process_name):
    command = "ps -ef| grep {process_name}| awk '{print }'".format(process_name=process_name)
    shell = Shell(command = command, raise_on_error=False)
    shell.run()
    if not shell.output:
        return
    process_ids = shell.output.strip().split()
    for process_id in process_ids:
        command = 'kill {process_id}'.format(process_id=process_id)
        shell = Shell(command=command, raise_on_error=False)
        shel.run()


def check_process(process_name, start_command):
    expected_state = get_state(process_name, 'expected')
    if expected_state == 0: #stop
        stop_process(process_name)
        set_state(process_name, 'actual', 0)

    else if expected_state == -1: #restart
        stop_process(process_name)
        set_state(process_name, 'actual', 0)
        start_process(start_command)
        set_state(process_name, 'actual', 1)
        set_state(process_name, 'expected', 1) #set expected back to 1 so we dont keep on restarting.

    elif expected_state == 1:
        running = check_running_status(process_name)
        if not running:
            set_state(process_name, 'actual', 0)
            send_mail(reciepients=["abc@admin.com", "xyz@admin.com"], message_subject="Alert", message_body="Your process is Down. Trying to restart")
            start_process(start_command)
            running = check_running_status(process_name)
            if running:
                send_mail(reciepients=["abc@admin.com", "xyz@admin.com"], message_subject="Alert", message_body="Your process is was restarted.")
                set_state(process_name, 'actual', 1)
            else:
                send_mail(reciepients=["abc@admin.com", "xyz@admin.com"], message_subject="Alert", message_body="Your process is could not be restarted.")


if __name__ == '__main__':
    args = sys.argv[1:]
    process_name = args[0]
    start_command = args[1]
    check_process(process_name, start_command)

自动处理 monitoring/management 和 Python

Automatic process monitoring/management with Python

python

ubuntu

monitoring

subprocess

process