qante 0.0.2

qante - Query ANnotated TExt

Motivation

Extracting the highly-valuable data from unstructured text often results in hard-to-read, brittle, difficult-to-maintain code. The problem is that using regular expressions directly embedded in the program control flow does not provide the best level of abstraction. We propose a query language (based on the tuple relational calculus) that facilitates data extraction. Developers can explicitly express their intent declaratively, making their code much easier to write, read, and maintain.

Solution

This package allows programmers to express what they are searching for by using higher-level concepts to express their query as tags, locations, and expressions on location relations.

The location of a string of characters within the document is the interval defining its starting and ending position.

Locations are grouped into sets named by tags. Tags can be used in conjunctions and disjunctions of interval relations to query for tuples of locations.

We invite you to view our talk on PyData Global 2022.

Use pip or python (rev 3 or above) to install from PyPI:

pip install qante
python -m pip install qante

API Documentation is available from python docstrings:

python    # rev 3 or above
  import qante, qante.loc
  help(qante)
  help(qante.loc)