Movatterモバイル変換


[0]ホーム

URL:


Skip to content

Navigation Menu

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Sign up

Regular Expression based parsers for extracting data from natural languages

License

NotificationsYou must be signed in to change notification settings

andychase/reparse

Repository files navigation

Reparse

Python library/tools for combining and parsing using Regular Expressions in a maintainable way

[Build StatusDownload/View Source on Github] [Docs at ReadtheDocs]

This library also allows you to:

  • Maintain a database of Regular Expressions
  • Combine them together using Patterns
  • Search, Parse and Output data matched by combined Regex using Python functions.

This library basically just gives you a way to combine Regular Expressions togetherand hook them up to some callback functions in Python.

A Taste / Getting Started

(See the examples/ directory for a full code examples)

Say your fashionista friend must know what colors their friends like at certain times.Luckily for you two, your friend's friends are blogging fanatics and you have downloaded thousandsof text documents containing their every thought.

So you want to get (color and time) or[('green', datetime.time(23, 0))] out of text like:

blah blah blah go to the store to buy green at 11pm! blah blah

If you need scan/search/parse/transform some unstructured input and get some semi-structured dataout of it Reparse might be able to help.

First structure some Regular Expressions (Here, in Yaml)

Color:Basic Color:Expression:(Red|Orange|Yellow|Green|Blue|Violet|Brown|Black)Matches:Orange | GreenNon-Matches:WhiteGroups:          -ColorTime:Basic Time:Expression:([0-9]|[1][0-2]) \s? (am|pm)Matches:8am | 3 pmNon-Matches:8a | 8:00 am | 13pmGroups:          -Hour          -AMPM

Then structure some Patterns with those expressions (Yaml)

BasicColorTime:Order:1Pattern:|    <Color> \s? at \s? <Time># Angle brackets detonate expression groups# Multiple expressions in one group are combined together

Some callback functions (in Python)

fromdatetimeimporttimedefcolor_time(Color=None,Time=None):Color,Hour,Period=Color[0],int(Time[0]),Time[1]ifPeriod=='pm':Hour+=12Time=time(hour=Hour)returnColor,Time

Build your parser

fromexamples.colortime.functionsimportfunctionsimportreparsecolortime_parser=reparse.parser(parser_type=reparse.basic_parser,expressions_yaml_path=path+"expressions.yaml",patterns_yaml_path=path+"patterns.yaml",functions=functions)print(colortime_parser("~ ~ ~ go to the store ~ buy green at 11pm! ~ ~"))

Result

[('green',datetime.time(23,0))]

Cool!

Intrigued? Learn more how to make the magic happen inHowto: How to use Reparse.

Want to read more about what Reparse is and what it can do? More info inAbout: Why another tool for parsing?

Info

Installation

pip

pipinstallreparse

manually

  1. If you don't have them already,Reparse depends onREGEX, andPyYaml.Download those andpython setup.py install in their directories.If you are on windows, you may have to find binary installers for these, since theycontain modules that have to be compiled.
  2. Download theZip off of Github (or clone the repo).
  3. Extract and dopython setup.py install in the reparse containing the setup.py file directory.You can also just have the reparse/reparse directory in the source treeof your project if you don't want to install it.
  4. Test withpython -c "import reparse",no output means it is probably installed.If you getImportError: No module named reparsethen you might want to recheck your steps.

Support

Need some help? Send me an email attheandychase@gmail.com and I'll do my best to help you.

Contribution

The code is located onGithub.Send me suggestions, issues, and pull requests and I'll gladly review them!

Versions

  • 3.0 InvalidPattern Exception, Allow monkey patching regex arguments. RE|PARSE -> Reparse.
  • 2.1 Change yaml.load to yaml.safe_load for security
  • 2.0 Major Refactor, Python 3, Better Parser builders
  • 1.1 Fix setup.py
  • 1.0 Release

Licence

MIT Licensed! See LICENSE file for the full text.

About

Regular Expression based parsers for extracting data from natural languages

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages


[8]ページ先頭

©2009-2025 Movatter.jp