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			121 lines
		
	
	
		
			3.5 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			121 lines
		
	
	
		
			3.5 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
import pytest
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import numpy
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from spacy.matcher import Matcher
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from spacy.attrs import ORTH, LOWER, ENT_IOB, ENT_TYPE
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from spacy.symbols import DATE
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def test_overlap_issue118(EN):
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    '''Test a bug that arose from having overlapping matches'''
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    doc = EN.tokenizer(u'how many points did lebron james score against the boston celtics last night')
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    ORG = doc.vocab.strings['ORG']
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    matcher = Matcher(EN.vocab,
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        {'BostonCeltics':
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            ('ORG', {},
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                [
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                    [{LOWER: 'celtics'}],
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                    [{LOWER: 'boston'}, {LOWER: 'celtics'}],
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                ]
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            )
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        }
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    )
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    assert len(list(doc.ents)) == 0
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    matches = matcher(doc)
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    assert matches == [(ORG, 9, 11), (ORG, 10, 11)]
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    ents = list(doc.ents)
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    assert len(ents) == 1
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    assert ents[0].label == ORG
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    assert ents[0].start == 9
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    assert ents[0].end == 11
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def test_overlap_reorder(EN):
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    '''Test order dependence'''
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    doc = EN.tokenizer(u'how many points did lebron james score against the boston celtics last night')
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    ORG = doc.vocab.strings['ORG']
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    matcher = Matcher(EN.vocab,
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        {'BostonCeltics':
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            ('ORG', {},
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                [
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                    [{LOWER: 'boston'}, {LOWER: 'celtics'}],
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                    [{LOWER: 'celtics'}],
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                ]
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            )
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        }
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    )
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    assert len(list(doc.ents)) == 0
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    matches = matcher(doc)
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    assert matches == [(ORG, 9, 11), (ORG, 10, 11)]
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    ents = list(doc.ents)
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    assert len(ents) == 1
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    assert ents[0].label == ORG
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    assert ents[0].start == 9
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    assert ents[0].end == 11
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def test_overlap_prefix(EN):
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    '''Test order dependence'''
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    doc = EN.tokenizer(u'how many points did lebron james score against the boston celtics last night')
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    ORG = doc.vocab.strings['ORG']
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    matcher = Matcher(EN.vocab,
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        {'BostonCeltics':
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            ('ORG', {},
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                [
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                    [{LOWER: 'boston'}],
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                    [{LOWER: 'boston'}, {LOWER: 'celtics'}],
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                ]
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            )
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        }
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    )
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    assert len(list(doc.ents)) == 0
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    matches = matcher(doc)
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    assert matches == [(ORG, 9, 10), (ORG, 9, 11)]
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    ents = list(doc.ents)
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    assert len(ents) == 1
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    assert ents[0].label == ORG
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    assert ents[0].start == 9
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    assert ents[0].end == 11
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def test_overlap_prefix_reorder(EN):
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    '''Test order dependence'''
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    doc = EN.tokenizer(u'how many points did lebron james score against the boston celtics last night')
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    ORG = doc.vocab.strings['ORG']
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    matcher = Matcher(EN.vocab,
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        {'BostonCeltics':
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            ('ORG', {},
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                [
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                    [{LOWER: 'boston'}, {LOWER: 'celtics'}],
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                    [{LOWER: 'boston'}],
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                ]
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            )
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        }
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    )
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    assert len(list(doc.ents)) == 0
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    matches = matcher(doc)
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    assert matches == [(ORG, 9, 10), (ORG, 9, 11)]
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    ents = list(doc.ents)
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    assert len(ents) == 1
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    assert ents[0].label == ORG
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    assert ents[0].start == 9
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    assert ents[0].end == 11
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@pytest.mark.models
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def test_ner_interaction(EN):
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    EN.matcher.add('LAX_Airport', 'AIRPORT', {}, [[{ORTH: 'LAX'}]])
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    EN.matcher.add('SFO_Airport', 'AIRPORT', {}, [[{ORTH: 'SFO'}]])
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    doc = EN(u'get me a flight from SFO to LAX leaving 20 December and arriving on January 5th')
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    ents = [(ent.label_, ent.text) for ent in doc.ents]
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    assert ents[0] == ('AIRPORT', 'SFO')
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    assert ents[1] == ('AIRPORT', 'LAX')
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    assert ents[2] == ('DATE', '20 December')
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    assert ents[3] == ('DATE', 'January 5th')
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