# coding: utf-8 from __future__ import unicode_literals from spacy.lang.en import English from spacy.pipeline import EntityRuler from ..util import make_tempdir def test_issue4651_with_phrase_matcher_attr(): """Test that the EntityRuler PhraseMatcher is deserialize correctly using the method from_disk when the EntityRuler argument phrase_matcher_attr is specified. """ text = "Spacy is a python library for nlp" nlp = English() ruler = EntityRuler(nlp, phrase_matcher_attr="LOWER") patterns = [{"label": "PYTHON_LIB", "pattern": "spacy", "id": "spaCy"}] ruler.add_patterns(patterns) nlp.add_pipe(ruler) doc = nlp(text) res = [(ent.text, ent.label_, ent.ent_id_) for ent in doc.ents] nlp_reloaded = English() with make_tempdir() as d: file_path = d / "entityruler" ruler.to_disk(file_path) ruler_reloaded = EntityRuler(nlp_reloaded).from_disk(file_path) nlp_reloaded.add_pipe(ruler_reloaded) doc_reloaded = nlp_reloaded(text) res_reloaded = [(ent.text, ent.label_, ent.ent_id_) for ent in doc_reloaded.ents] assert res == res_reloaded def test_issue4651_without_phrase_matcher_attr(): """Test that the EntityRuler PhraseMatcher is deserialize correctly using the method from_disk when the EntityRuler argument phrase_matcher_attr is not specified. """ text = "Spacy is a python library for nlp" nlp = English() ruler = EntityRuler(nlp) patterns = [{"label": "PYTHON_LIB", "pattern": "spacy", "id": "spaCy"}] ruler.add_patterns(patterns) nlp.add_pipe(ruler) doc = nlp(text) res = [(ent.text, ent.label_, ent.ent_id_) for ent in doc.ents] nlp_reloaded = English() with make_tempdir() as d: file_path = d / "entityruler" ruler.to_disk(file_path) ruler_reloaded = EntityRuler(nlp_reloaded).from_disk(file_path) nlp_reloaded.add_pipe(ruler_reloaded) doc_reloaded = nlp_reloaded(text) res_reloaded = [(ent.text, ent.label_, ent.ent_id_) for ent in doc_reloaded.ents] assert res == res_reloaded