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twitter-text-python

twitter-text-python is a Tweet parser and formatter for Python. Extract users, hashtags, URLs and format as HTML for display.

It is based on twitter-text-java and passes all the unittests of twitter-text-conformance plus some additional ones.

This version was forked by Ian Ozsvald in January 2013 and released to PyPI, some bugs were fixed, a few minor changes to functionality added: https://github.com/ianozsvald/twitter-text-python

PyPI release: http://pypi.python.org/pypi/twitter-text-python/

The original ttp comes from Ivo Wetzel (Ivo's version no longer supported): https://github.com/BonsaiDen/twitter-text-python

Usage:

>>> from ttp import ttp
>>> p = ttp.Parser()
>>> result = p.parse("@ianozsvald, you now support #IvoWertzel's tweet parser! https://github.com/ianozsvald/")
>>> result.reply
'ianozsvald'
>>> result.users
['ianozsvald']
>>> result.tags
['IvoWertzel']
>>> result.urls
['https://github.com/ianozsvald/']
>>> result.html
u'<a href="http://twitter.com/ianozsvald">@ianozsvald</a>, you now support <a href="http://search.twitter.com/search?q=%23IvoWertzel">#IvoWertzel</a>\'s tweet parser! <a href="https://github.com/ianozsvald/">https://github.com/ianozsvald/</a>'

If you need different HTML output just subclass and override the format_* methods.

You can also ask for the span tags to be returned for each entity:

>>> p = ttp.Parser(include_spans=True)
>>> result = p.parse("@ianozsvald, you now support #IvoWertzel's tweet parser! https://github.com/ianozsvald/")
>>> result.urls
[('https://github.com/ianozsvald/', (57, 87))]

To use the shortlink follower:

>>> from ttp import utils >>> # assume that result.urls == ['http://t.co/8o0z9BbEMu', u'http://bbc.in/16dClPF'] >>> print utils.follow_shortlinks(result.urls) # pass in list of shortlink URLs {'http://t.co/8o0z9BbEMu': [u'http://t.co/8o0z9BbEMu', u'http://bbc.in/16dClPF', u'http://www.bbc.co.uk/sport/0/21711199#TWEET650562'], u'http://bbc.in/16dClPF': [u'http://bbc.in/16dClPF', u'http://www.bbc.co.uk/sport/0/21711199#TWEET650562']} >>> # note that bad shortlink URLs have a key to an empty list (lost/forgotten shortlink URLs don't generate any error)

Installation

pip and easy_install will do the job:

# via: http://pypi.python.org/pypi/twitter-text-python
$ pip install twitter-text-python  
$ python
>>> from ttp import ttp
>>> ttp.__version__
'1.0.0.2'

Changelog

Tests

Checkout the code via github https://github.com/ianozsvald/twitter-text-python and run tests locally:

$ python ttp/tests.py 
....................................................................................................
----------------------------------------------------------------------
Ran 100 tests in 0.009s
OK

Contributing

The source is available on GitHub, to contribute to the project, fork it on GitHub and send a pull request. Everyone is welcome to make improvements to twp!

Todo

  • Consider adding capitalised phrase identification
  • Consider adding a repeated-char remover (e.g. grrrrrrr->grr)
  • Make it 1 line to parse and get a results dict via __init__.py
  • Tag the next release

License

MIT

Copyright (c) 2012 Ivo Wetzel.

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Copyright (c) 2010-2013 Ivo Wetzel

About

Twitter text processing library (auto linking and extraction of usernames, lists and hashtags). Based on the Java implementation by Matt Sanford

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