Developer Guide: Advanced Fuzzy Map Regular Expressions

The Fuzzy Mapping system utilizes standard Python regular expressions, allowing for powerful matching and exclusion patterns, particularly through Negative Lookaheads ((?!...)).

Using Negative Lookaheads for Whitelisting

This pattern allows you to define a rule that applies to everything EXCEPT a specific list of words or phrases. This is especially useful in combination with the empty_all pattern to build cumulative, restricted rule sets.

Goal

Example Rule (FUZZY_MAP)

Explanation

Apply to All Except One Word

('', r'^(?!Haus).*$', 5, {'flags': re.IGNORECASE})

This rule will apply a replacement (or skip logic, here '') to any text that is not exactly “Haus”. (?!Haus) is the Negative Lookahead, ensuring the text does not start with “Haus”.

Apply to All Except Multiple Words

`(‘’, r’^(?!Schach

Matt


Using Positive Lookaheads for Restricted Rules

The standard approach uses Positive Lookaheads or simple capturing groups to restrict a rule to only a specific list of words.

Goal

Example Rule (FUZZY_MAP)

Explanation

Apply Only to a Specific List

`(‘Schachmatt’, r’^(Schach

Matt