Work on test for #615

spacy/tests/regression/test_issue615.py

@@ -0,0 +1,36 @@
+from __future__ import unicode_literals
+import spacy 
+from spacy.attrs import ORTH
+
+
+def merge_phrases(matcher, doc, i, matches):
+ '''
+ Merge a phrase. We have to be careful here because we'll change the token indices.
+ To avoid problems, merge all the phrases once we're called on the last match.
+ '''
+ if i != len(matches)-1:
+ return None
+ # Get Span objects
+ spans = [(ent_id, label, doc[start : end]) for ent_id, label, start, end in matches]
+ for ent_id, label, span in spans:
+ span.merge('NNP' if label else span.root.tag_, span.text, doc.vocab.strings[label])
+
+def test_entity_ID_assignment():
+ nlp = spacy.en.English()
+ text = u"""The golf club is broken"""
+ doc = nlp(text)
+
+ golf_pattern = [ 
+ { ORTH: "golf"},
+ { ORTH: "club"}
+ ]
+
+ matcher = spacy.matcher.Matcher(nlp.vocab)
+ matcher.add_entity('Sport_Equipment', on_match = merge_phrases)
+ matcher.add_pattern("Sport_Equipment", golf_pattern, label = 'Sport_Equipment')
+
+ match = matcher(doc)
+ entities = list(doc.ents)
+
+ assert entities != [] #assertion 1
+ assert entities[0].label != 0 #assertion 2