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Anchorman takes a list of terms and a text. It finds the terms in this text and replaces them with another representation.
.. image:: https://img.shields.io/pypi/v/anchorman.svg :target: https://pypi.python.org/pypi/anchorman :alt: Latest Version
.. image:: https://travis-ci.org/rebeling/anchorman.svg?branch=master :target: https://travis-ci.org/rebeling/anchorman
Turn your text into hypertext and enrich the content. Anchorman finds terms in text and replaces them with another representation.
The replacement is rule-based. Each term is checked against the rules and will be applied if valid.
# How many items will be marked at all in the text.
replaces_at_all: 5
# Input term has to be exact match in text.
case_sensitive: true
>>> from anchorman import annotate
>>> text = 'The quick brown fox jumps over the lazy dog.'
>>> elements = [{'fox': {'value': '/wiki/fox', 'data-type': 'animal'}}]
>>> print annotate(text, elements)
'The quick brown <a href="/wiki/fox" data-type="animal">fox</a> jumps over the lazy dog.'
To install Anchorman, simply:
pip install anchorman
We published this at github and pypi to provide our solution to you. Pleased for feedback and contributions.
Thanks @tarnacious for inspiration and first steps.
Stay tuned.
FAQs
Anchorman takes a list of terms and a text. It finds the terms in this text and replaces them with another representation.
We found that anchorman demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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