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Add as_spans to Matcher/PhraseMatcher
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@ -203,13 +203,16 @@ cdef class Matcher:
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else:
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yield doc
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def __call__(self, object doclike):
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def __call__(self, object doclike, as_spans=False):
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"""Find all token sequences matching the supplied pattern.
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doclike (Doc or Span): The document to match over.
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RETURNS (list): A list of `(key, start, end)` tuples,
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as_spans (bool): Return Span objects with labels instead of (match_id,
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start, end) tuples.
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RETURNS (list): A list of `(match_id, start, end)` tuples,
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describing the matches. A match tuple describes a span
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`doc[start:end]`. The `label_id` and `key` are both integers.
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`doc[start:end]`. The `match_id` is an integer. If as_spans is set
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to True, a list of Span objects is returned.
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"""
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if isinstance(doclike, Doc):
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doc = doclike
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@ -262,6 +265,9 @@ cdef class Matcher:
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on_match = self._callbacks.get(key, None)
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if on_match is not None:
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on_match(self, doc, i, final_matches)
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if as_spans:
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return [Span(doc, start, end, label=key) for key, start, end in final_matches]
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else:
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return final_matches
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def _normalize_key(self, key):
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@ -7,6 +7,7 @@ import warnings
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from ..attrs cimport ORTH, POS, TAG, DEP, LEMMA
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from ..structs cimport TokenC
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from ..tokens.token cimport Token
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from ..tokens.span cimport Span
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from ..typedefs cimport attr_t
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from ..schemas import TokenPattern
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@ -216,13 +217,16 @@ cdef class PhraseMatcher:
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result = internal_node
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map_set(self.mem, <MapStruct*>result, self.vocab.strings[key], NULL)
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def __call__(self, doc):
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def __call__(self, doc, as_spans=False):
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"""Find all sequences matching the supplied patterns on the `Doc`.
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doc (Doc): The document to match over.
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RETURNS (list): A list of `(key, start, end)` tuples,
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as_spans (bool): Return Span objects with labels instead of (match_id,
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start, end) tuples.
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RETURNS (list): A list of `(match_id, start, end)` tuples,
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describing the matches. A match tuple describes a span
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`doc[start:end]`. The `label_id` and `key` are both integers.
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`doc[start:end]`. The `match_id` is an integer. If as_spans is set
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to True, a list of Span objects is returned.
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DOCS: https://spacy.io/api/phrasematcher#call
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"""
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@ -239,6 +243,9 @@ cdef class PhraseMatcher:
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on_match = self._callbacks.get(self.vocab.strings[ent_id])
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if on_match is not None:
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on_match(self, doc, i, matches)
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if as_spans:
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return [Span(doc, start, end, label=key) for key, start, end in matches]
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else:
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return matches
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cdef void find_matches(self, Doc doc, vector[SpanC] *matches) nogil:
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@ -2,7 +2,8 @@ import pytest
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import re
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from mock import Mock
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from spacy.matcher import Matcher, DependencyMatcher
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from spacy.tokens import Doc, Token
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from spacy.tokens import Doc, Token, Span
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from ..doc.test_underscore import clean_underscore # noqa: F401
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@ -469,3 +470,17 @@ def test_matcher_span(matcher):
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assert len(matcher(doc)) == 2
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assert len(matcher(span_js)) == 1
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assert len(matcher(span_java)) == 1
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def test_matcher_as_spans(matcher):
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"""Test the new as_spans=True API."""
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text = "JavaScript is good but Java is better"
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doc = Doc(matcher.vocab, words=text.split())
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matches = matcher(doc, as_spans=True)
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assert len(matches) == 2
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assert isinstance(matches[0], Span)
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assert matches[0].text == "JavaScript"
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assert matches[0].label_ == "JS"
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assert isinstance(matches[1], Span)
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assert matches[1].text == "Java"
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assert matches[1].label_ == "Java"
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@ -2,7 +2,7 @@ import pytest
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import srsly
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from mock import Mock
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from spacy.matcher import PhraseMatcher
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from spacy.tokens import Doc
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from spacy.tokens import Doc, Span
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from ..util import get_doc
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@ -287,3 +287,19 @@ def test_phrase_matcher_pickle(en_vocab):
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# clunky way to vaguely check that callback is unpickled
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(vocab, docs, callbacks, attr) = matcher_unpickled.__reduce__()[1]
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assert isinstance(callbacks.get("TEST2"), Mock)
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def test_phrase_matcher_as_spans(en_vocab):
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"""Test the new as_spans=True API."""
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matcher = PhraseMatcher(en_vocab)
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matcher.add("A", [Doc(en_vocab, words=["hello", "world"])])
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matcher.add("B", [Doc(en_vocab, words=["test"])])
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doc = Doc(en_vocab, words=["...", "hello", "world", "this", "is", "a", "test"])
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matches = matcher(doc, as_spans=True)
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assert len(matches) == 2
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assert isinstance(matches[0], Span)
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assert matches[0].text == "hello world"
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assert matches[0].label_ == "A"
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assert isinstance(matches[1], Span)
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assert matches[1].text == "test"
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assert matches[1].label_ == "B"
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