Universe

Hammurabi

Python Rule Processing Engine 🏺

Hammurabi works as a rule engine to parse input using a defined set of rules. It uses a simple and readable syntax to define complex rules to handle phrase matching. The syntax supports nested logical statements, regular expressions, reusable or side-loaded variables and match triggered callback functions to modularize your rules. The latest version works with both spaCy 2.X and 3.X. For more information check the documentation on ReadTheDocs.

Example

import spacy # __version__ 3.0+ from hmrb.core import SpacyCore grammar = """ Var is_hurting: ( optional (lemma: "be") (lemma: "hurt") ) Law: - package: "headache" - callback: "mark_headache" ( (lemma: "head", pos: "NOUN") $is_hurting )""" conf = { "rules": grammar "callbacks": { "mark_headache": "callbacks.headache_handler", }, "map_doc": "augmenters.jsonify_span", "sort_length": True, } nlp = spacy.load("en_core_web_sm") nlp.add_pipe("hammurabi", config=conf) nlp(sentences)

Author info

Kristian Boda

GitHubbabylonhealth/hmrb

Categories pipeline standalone scientific biomedical

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Read the docsJSON source