Installation

pip install claw

Usage

Here’s how you initialize the library and extract a reply from a text message:

import claw
from claw import quotations

claw.init()

text =  """Reply

-----Original Message-----

Quote"""

reply = quotations.extract_from(text, 'text/plain')
reply = quotations.extract_from_plain(text)
# reply == "Reply"

To extract a reply from html:

html = """Reply
<blockquote>

  <div>
    On 11-Apr-2011, at 6:54 PM, Bob &lt;bob@example.com&gt; wrote:
  </div>

  <div>
    Quote
  </div>

</blockquote>"""

reply = quotations.extract_from(html, 'text/html')
reply = quotations.extract_from_html(html)
# reply == "<html><body><p>Reply</p></body></html>"

Often the best way is the easiest one. Here’s how you can extract signature from email message without any machine learning fancy stuff:

from claw.signature import extract_signature


message = """Wow. Awesome!
--
Bob Smith"""

text, signature = extract_signature(message)
# text == "Wow. Awesome!"
# signature == "--\nBob Smith"

Quick and works like a charm 90% of the time. For other 10% you can use the power of machine learning algorithms. See the original talon implementation.

Development

virtualenv venv
source venv/bin/activate

make install

make test

Release new version:

Bump the version in setup.py and update CHANGELOG.md, and then:

make release