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pygrok

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pygrok

A Python library to parse strings and extract information from structured/unstructured data

  • 1.0.0
  • PyPI
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pygrok |Build Status|

|Join the chat at https://gitter.im/garyelephant/pygrok|

A Python library to parse strings and extract information from structured/unstructured data

What can I use Grok for?

  • parsing and matching patterns in a string(log, message etc.)
  • relieving from complex regular expressions.
  • extracting information from structured/unstructured data

Installation

.. code:: Bash

    $ pip install pygrok

or download, uncompress and install pygrok from here <https://github.com/garyelephant/pygrok/releases/latest>__:

.. code:: Bash

    $ tar zxvf pygrok-xx.tar.gz
    $ cd pygrok_dir
    $ sudo python setup.py install

Getting Started

.. code:: Python

from pygrok import Grok
text = 'gary is male, 25 years old and weighs 68.5 kilograms'
pattern = '%{WORD:name} is %{WORD:gender}, %{NUMBER:age} years old and weighs %{NUMBER:weight} kilograms'
grok = Grok(pattern)
print grok.match(text)

# {'gender': 'male', 'age': '25', 'name': 'gary', 'weight': '68.5'}

Pretty Cool !

Numbers can be converted from string to int or float if you use %{pattern:name:type} syntax, such as %{NUMBER:age:int}

.. code:: Python

from pygrok import Grok
text = 'gary is male, 25 years old and weighs 68.5 kilograms'
pattern = '%{WORD:name} is %{WORD:gender}, %{NUMBER:age:int} years old and weighs %{NUMBER:weight:float} kilograms'
grok = Grok(pattern)
print grok.match(text, pattern)

# {'gender': 'male', 'age': 25, 'name': 'gary', 'weight': 68.5}

Now age is of type int and weight is of type float.

Awesome !

Some of the pattern you can use are listed here:

::

`WORD` means \b\w+\b in regular expression.
`NUMBER` means (?:%{BASE10NUM})
`BASE10NUM` means (?<![0-9.+-])(?>[+-]?(?:(?:[0-9]+(?:\.[0-9]+)?)|(?:\.[0-9]+)))

other patterns such as `IP`, `HOSTNAME`, `URIPATH`, `DATE`, `TIMESTAMP_ISO8601`, `COMMONAPACHELOG`..

See All patterns here <./pygrok/patterns>__

You can also have custom pattern, see these codes <https://github.com/garyelephant/pygrok/blob/master/tests/test_pygrok.py#L97>__.

More details

Beause python re module does not support regular expression syntax atomic grouping(?>),so pygrok requires regex <https://pypi.python.org/pypi/regex/2014.06.28>__ to be installed.

pygrok is inspired by Grok <https://github.com/jordansissel/grok>__ developed by Jordan Sissel. This is not a wrapper of Jordan Sissel's Grok and totally implemented by me.

Grok is a simple software that allows you to easily parse strings, logs and other files. With grok, you can turn unstructured log and event data into structured data.Pygrok does the same thing.

I recommend you to have a look at logstash filter grok <https://www.elastic.co/guide/en/logstash/current/plugins-filters-grok.html>__, it explains how Grok-like thing work.

pattern files come from logstash filter grok's pattern files <https://github.com/logstash-plugins/logstash-patterns-core/tree/master/patterns>__

Contribute

  • You are encouraged to fork <https://github.com/garyelephant/pygrok/fork>__, improve the code, then make a pull request.
  • Issue tracker <https://github.com/garyelephant/pygrok/issues>__

Get Help

::

mail:garygaowork@gmail.com
twitter:@garyelephant

Contributors

Thanks to all contributors <https://github.com/garyelephant/pygrok/graphs/contributors>__

.. |Build Status| image:: https://travis-ci.org/garyelephant/pygrok.svg?branch=master :target: https://travis-ci.org/garyelephant/pygrok .. |Join the chat at https://gitter.im/garyelephant/pygrok| image:: https://badges.gitter.im/Join%20Chat.svg :target: https://gitter.im/garyelephant/pygrok?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge

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