Claw, https://github.com/tictail/claw, is a library to extract message quotations and signatures. It is is a more light-weight version of the original https://github.com/mailgun/talon library.
If you ever tried to parse message quotations or signatures you know that absence of any formatting standards in this area could make this task a nightmare. Hopefully this library will make your life much easier.
pip install claw
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 <[email protected]> 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.
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