Turn your text into [hypertext](http://en.wikipedia.org/wiki/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
- replacement rules
- consider text units in the rules (e.g. paragraphs)
- replace only n items of the same item
- specify restricted_areas for linking by tag: a, img
- sort elements by value before apply them
- return applied elements
This shows a little example how to annotate elements in text:
>>> 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](https://github.com/tarnacious) for inspiration and first steps.
- check if position exist in input and save extra processing
- html.parser vs lxml in bs4 - benchmarks and drawbacks
<img src="https://raw.githubusercontent.com/rebeling/anchorman/master/docs/anchorman.png" width="200">
Stay tuned.