A Python library to parse strings and extract information from structured/unstructured data
- parsing and matching patterns in a string(log, message etc.)
- relieving from complex regular expressions.
- extracting information from structured/unstructured data
$ pip install pygrokor download, uncompress and install pygrok from here:
$ tar zxvf pygrok-xx.tar.gz
$ cd pygrok_dir
$ sudo python setup.py install>>> import pygrok
>>> 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'
>>> print pygrok.grok_match(text, pattern)
{'gender': 'male', 'age': '25', 'name': 'gary', 'weight': '68.5'}Pretty Cool ! 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
Beause python re module does not support regular expression syntax atomic grouping(?>),so pygrok requires regex to be installed.
pygrok is inspired by 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, it explains how Grok-like thing work.
pattern files come from logstash filter grok's pattern files
I use Trello to manage TODO list of this project.
- You are encouraged to fork, improve the code, then make a pull request.
- Issue tracker
mail:garygaowork@gmail.com twitter:@garyelephant
garyelephant whilgeek