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What is mon.py?

Sometimes you have lots of applications, each writing into it's own log file, but your team suffers from low motivation to set up a Logstash or ever browse or observe anything like that. But you need to know it there are errors, you want to improve your system quality and you want to be informed the same moment they hit to fix problems before they will be reported by users.

Mon.py is the kind of tool for dealing with these sort of cases. It will push the most important errors reports right in front of your eyes. Mon.py:

  • Monitors given log files, detects important messages by user-defined patterns
  • Notifies by email
  • Groups email messages, prevents flooding
  • Cuts off in case of disaster
  • Supports multi-line messages
  • Lets you keep an eye on critical errors and exceptions that happen in your applications
  • Is literally a tiny python script

Files

  mon.py          - this one should be executed
  config.ini      - configuration file (not required, overrides default values)
  rules.txt       - message detection rules setup
  sources         - here you need to define your log files

Use cases

Tracking production errors of an YII2 application (PHP)

rules.txt:

{
    'basic': {
                # Equal messages that appear within this time interval will be grouped (in seconds)
                'min_group_time': 300,
                
                # Grouped message will be sent if there is no other messages within this time interval (in seconds)
                'silent_interval': 30,

                # Whom to notify
                'notify': ['[email protected]'],

                # Delimiter means regex that detects the end of multi line log entry (default is newline, when dealing with single line entries only)
                'delimiter': "   \t",

                # Events that trigger this rule
                'events': [
                    {
                        # The regexp to match the message
                        'pattern': '\[error\]',
                        
                        # Don't need to know of all these requests that trigger 404 Not Found exceptions
                        'exclude_pattern': 'HttpException',

                        # Date pattern helps us group the same messages that only differ by date string that is coming together with them
                        'date_pattern': '^\d{4}/\d{2}/\d{2} \d{2}:\d{2}:\d{2} '
                    }
                ]
            }
}

sources.txt:

[
    {
        # The file name to tail
        'filename': '/opt/sites/my.site.com/www/runtime/logs/app.log',

        # This overrides the rules settings
        'silent_interval': 30,

        # This adds notice to the email title
        'notice': 'My App Error',

        # Rules to apply to this source
        'common_rules': ['basic']
    }
]

We need to have a sort of delimiter to work with the multi-line messages, but we do not want this delimiters to irritate an eye when someone just browsing raw log files. This is why we extend the file target class like this:

<?php

namespace app\components;

use yii\log\FileTarget;

class MyFileTarget extends FileTarget {
    const delimiter = "   \t";

    public function formatMessage($message)
    {
        return parent::formatMessage($message) . self::delimiter;
    }
}

Same part for MySQL error log

    # Default delimiter, single line mode
    # 'delimiter': "\n",

    # Events that trigger this rule
    'events': [
        {
            # The regexp to match the message
            'pattern': '\[(error|warning)\]',

            # Date pattern helps us group the same messages that only differ by date string that is coming together with them
            'date_pattern': '^\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2} '
        }
    ]

Usage

One of the best options is to launch mon.py under the supervisor process control system (http://supervisord.org/).

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