import pytest import re from mock import Mock from spacy.matcher import Matcher, DependencyMatcher from spacy.tokens import Doc, Token @pytest.fixture def matcher(en_vocab): rules = { "JS": [[{"ORTH": "JavaScript"}]], "GoogleNow": [[{"ORTH": "Google"}, {"ORTH": "Now"}]], "Java": [[{"LOWER": "java"}]], } matcher = Matcher(en_vocab) for key, patterns in rules.items(): matcher.add(key, patterns) return matcher def test_matcher_from_api_docs(en_vocab): matcher = Matcher(en_vocab) pattern = [{"ORTH": "test"}] assert len(matcher) == 0 matcher.add("Rule", [pattern]) assert len(matcher) == 1 matcher.remove("Rule") assert "Rule" not in matcher matcher.add("Rule", [pattern]) assert "Rule" in matcher on_match, patterns = matcher.get("Rule") assert len(patterns[0]) def test_matcher_from_usage_docs(en_vocab): text = "Wow 😀 This is really cool! 😂 😂" doc = Doc(en_vocab, words=text.split(" ")) pos_emoji = ["😀", "😃", "😂", "🤣", "😊", "😍"] pos_patterns = [[{"ORTH": emoji}] for emoji in pos_emoji] def label_sentiment(matcher, doc, i, matches): match_id, start, end = matches[i] if doc.vocab.strings[match_id] == "HAPPY": doc.sentiment += 0.1 span = doc[start:end] with doc.retokenize() as retokenizer: retokenizer.merge(span) token = doc[start] token.vocab[token.text].norm_ = "happy emoji" matcher = Matcher(en_vocab) matcher.add("HAPPY", pos_patterns, on_match=label_sentiment) matcher(doc) assert doc.sentiment != 0 assert doc[1].norm_ == "happy emoji" def test_matcher_len_contains(matcher): assert len(matcher) == 3 matcher.add("TEST", [[{"ORTH": "test"}]]) assert "TEST" in matcher assert "TEST2" not in matcher def test_matcher_add_new_old_api(en_vocab): doc = Doc(en_vocab, words=["a", "b"]) patterns = [[{"TEXT": "a"}], [{"TEXT": "a"}, {"TEXT": "b"}]] matcher = Matcher(en_vocab) matcher.add("OLD_API", None, *patterns) assert len(matcher(doc)) == 2 matcher = Matcher(en_vocab) on_match = Mock() matcher.add("OLD_API_CALLBACK", on_match, *patterns) assert len(matcher(doc)) == 2 assert on_match.call_count == 2 # New API: add(key: str, patterns: List[List[dict]], on_match: Callable) matcher = Matcher(en_vocab) matcher.add("NEW_API", patterns) assert len(matcher(doc)) == 2 matcher = Matcher(en_vocab) on_match = Mock() matcher.add("NEW_API_CALLBACK", patterns, on_match=on_match) assert len(matcher(doc)) == 2 assert on_match.call_count == 2 def test_matcher_no_match(matcher): doc = Doc(matcher.vocab, words=["I", "like", "cheese", "."]) assert matcher(doc) == [] def test_matcher_match_start(matcher): doc = Doc(matcher.vocab, words=["JavaScript", "is", "good"]) assert matcher(doc) == [(matcher.vocab.strings["JS"], 0, 1)] def test_matcher_match_end(matcher): words = ["I", "like", "java"] doc = Doc(matcher.vocab, words=words) assert matcher(doc) == [(doc.vocab.strings["Java"], 2, 3)] def test_matcher_match_middle(matcher): words = ["I", "like", "Google", "Now", "best"] doc = Doc(matcher.vocab, words=words) assert matcher(doc) == [(doc.vocab.strings["GoogleNow"], 2, 4)] def test_matcher_match_multi(matcher): words = ["I", "like", "Google", "Now", "and", "java", "best"] doc = Doc(matcher.vocab, words=words) assert matcher(doc) == [ (doc.vocab.strings["GoogleNow"], 2, 4), (doc.vocab.strings["Java"], 5, 6), ] def test_matcher_empty_dict(en_vocab): """Test matcher allows empty token specs, meaning match on any token.""" matcher = Matcher(en_vocab) doc = Doc(matcher.vocab, words=["a", "b", "c"]) matcher.add("A.C", [[{"ORTH": "a"}, {}, {"ORTH": "c"}]]) matches = matcher(doc) assert len(matches) == 1 assert matches[0][1:] == (0, 3) matcher = Matcher(en_vocab) matcher.add("A.", [[{"ORTH": "a"}, {}]]) matches = matcher(doc) assert matches[0][1:] == (0, 2) def test_matcher_operator_shadow(en_vocab): matcher = Matcher(en_vocab) doc = Doc(matcher.vocab, words=["a", "b", "c"]) pattern = [{"ORTH": "a"}, {"IS_ALPHA": True, "OP": "+"}, {"ORTH": "c"}] matcher.add("A.C", [pattern]) matches = matcher(doc) assert len(matches) == 1 assert matches[0][1:] == (0, 3) def test_matcher_match_zero(matcher): words1 = 'He said , " some words " ...'.split() words2 = 'He said , " some three words " ...'.split() pattern1 = [ {"ORTH": '"'}, {"OP": "!", "IS_PUNCT": True}, {"OP": "!", "IS_PUNCT": True}, {"ORTH": '"'}, ] pattern2 = [ {"ORTH": '"'}, {"IS_PUNCT": True}, {"IS_PUNCT": True}, {"IS_PUNCT": True}, {"ORTH": '"'}, ] matcher.add("Quote", [pattern1]) doc = Doc(matcher.vocab, words=words1) assert len(matcher(doc)) == 1 doc = Doc(matcher.vocab, words=words2) assert len(matcher(doc)) == 0 matcher.add("Quote", [pattern2]) assert len(matcher(doc)) == 0 def test_matcher_match_zero_plus(matcher): words = 'He said , " some words " ...'.split() pattern = [{"ORTH": '"'}, {"OP": "*", "IS_PUNCT": False}, {"ORTH": '"'}] matcher = Matcher(matcher.vocab) matcher.add("Quote", [pattern]) doc = Doc(matcher.vocab, words=words) assert len(matcher(doc)) == 1 def test_matcher_match_one_plus(matcher): control = Matcher(matcher.vocab) control.add("BasicPhilippe", None, [{"ORTH": "Philippe"}]) doc = Doc(control.vocab, words=["Philippe", "Philippe"]) m = control(doc) assert len(m) == 2 pattern = [{"ORTH": "Philippe"}, {"ORTH": "Philippe", "OP": "+"}] matcher.add("KleenePhilippe", [pattern]) m = matcher(doc) assert len(m) == 1 def test_matcher_any_token_operator(en_vocab): """Test that patterns with "any token" {} work with operators.""" matcher = Matcher(en_vocab) matcher.add("TEST", [[{"ORTH": "test"}, {"OP": "*"}]]) doc = Doc(en_vocab, words=["test", "hello", "world"]) matches = [doc[start:end].text for _, start, end in matcher(doc)] assert len(matches) == 3 assert matches[0] == "test" assert matches[1] == "test hello" assert matches[2] == "test hello world" def test_matcher_extension_attribute(en_vocab): matcher = Matcher(en_vocab) get_is_fruit = lambda token: token.text in ("apple", "banana") Token.set_extension("is_fruit", getter=get_is_fruit, force=True) pattern = [{"ORTH": "an"}, {"_": {"is_fruit": True}}] matcher.add("HAVING_FRUIT", [pattern]) doc = Doc(en_vocab, words=["an", "apple"]) matches = matcher(doc) assert len(matches) == 1 doc = Doc(en_vocab, words=["an", "aardvark"]) matches = matcher(doc) assert len(matches) == 0 def test_matcher_set_value(en_vocab): matcher = Matcher(en_vocab) pattern = [{"ORTH": {"IN": ["an", "a"]}}] matcher.add("A_OR_AN", [pattern]) doc = Doc(en_vocab, words=["an", "a", "apple"]) matches = matcher(doc) assert len(matches) == 2 doc = Doc(en_vocab, words=["aardvark"]) matches = matcher(doc) assert len(matches) == 0 def test_matcher_set_value_operator(en_vocab): matcher = Matcher(en_vocab) pattern = [{"ORTH": {"IN": ["a", "the"]}, "OP": "?"}, {"ORTH": "house"}] matcher.add("DET_HOUSE", [pattern]) doc = Doc(en_vocab, words=["In", "a", "house"]) matches = matcher(doc) assert len(matches) == 2 doc = Doc(en_vocab, words=["my", "house"]) matches = matcher(doc) assert len(matches) == 1 def test_matcher_regex(en_vocab): matcher = Matcher(en_vocab) pattern = [{"ORTH": {"REGEX": r"(?:a|an)"}}] matcher.add("A_OR_AN", [pattern]) doc = Doc(en_vocab, words=["an", "a", "hi"]) matches = matcher(doc) assert len(matches) == 2 doc = Doc(en_vocab, words=["bye"]) matches = matcher(doc) assert len(matches) == 0 def test_matcher_regex_shape(en_vocab): matcher = Matcher(en_vocab) pattern = [{"SHAPE": {"REGEX": r"^[^x]+$"}}] matcher.add("NON_ALPHA", [pattern]) doc = Doc(en_vocab, words=["99", "problems", "!"]) matches = matcher(doc) assert len(matches) == 2 doc = Doc(en_vocab, words=["bye"]) matches = matcher(doc) assert len(matches) == 0 def test_matcher_compare_length(en_vocab): matcher = Matcher(en_vocab) pattern = [{"LENGTH": {">=": 2}}] matcher.add("LENGTH_COMPARE", [pattern]) doc = Doc(en_vocab, words=["a", "aa", "aaa"]) matches = matcher(doc) assert len(matches) == 2 doc = Doc(en_vocab, words=["a"]) matches = matcher(doc) assert len(matches) == 0 def test_matcher_extension_set_membership(en_vocab): matcher = Matcher(en_vocab) get_reversed = lambda token: "".join(reversed(token.text)) Token.set_extension("reversed", getter=get_reversed, force=True) pattern = [{"_": {"reversed": {"IN": ["eyb", "ih"]}}}] matcher.add("REVERSED", [pattern]) doc = Doc(en_vocab, words=["hi", "bye", "hello"]) matches = matcher(doc) assert len(matches) == 2 doc = Doc(en_vocab, words=["aardvark"]) matches = matcher(doc) assert len(matches) == 0 @pytest.fixture def text(): return "The quick brown fox jumped over the lazy fox" @pytest.fixture def heads(): return [3, 2, 1, 1, 0, -1, 2, 1, -3] @pytest.fixture def deps(): return ["det", "amod", "amod", "nsubj", "prep", "pobj", "det", "amod"] @pytest.fixture def dependency_matcher(en_vocab): def is_brown_yellow(text): return bool(re.compile(r"brown|yellow|over").match(text)) IS_BROWN_YELLOW = en_vocab.add_flag(is_brown_yellow) pattern1 = [ {"SPEC": {"NODE_NAME": "fox"}, "PATTERN": {"ORTH": "fox"}}, { "SPEC": {"NODE_NAME": "q", "NBOR_RELOP": ">", "NBOR_NAME": "fox"}, "PATTERN": {"ORTH": "quick", "DEP": "amod"}, }, { "SPEC": {"NODE_NAME": "r", "NBOR_RELOP": ">", "NBOR_NAME": "fox"}, "PATTERN": {IS_BROWN_YELLOW: True}, }, ] pattern2 = [ {"SPEC": {"NODE_NAME": "jumped"}, "PATTERN": {"ORTH": "jumped"}}, { "SPEC": {"NODE_NAME": "fox", "NBOR_RELOP": ">", "NBOR_NAME": "jumped"}, "PATTERN": {"ORTH": "fox"}, }, { "SPEC": {"NODE_NAME": "quick", "NBOR_RELOP": ".", "NBOR_NAME": "jumped"}, "PATTERN": {"ORTH": "fox"}, }, ] pattern3 = [ {"SPEC": {"NODE_NAME": "jumped"}, "PATTERN": {"ORTH": "jumped"}}, { "SPEC": {"NODE_NAME": "fox", "NBOR_RELOP": ">", "NBOR_NAME": "jumped"}, "PATTERN": {"ORTH": "fox"}, }, { "SPEC": {"NODE_NAME": "r", "NBOR_RELOP": ">>", "NBOR_NAME": "fox"}, "PATTERN": {"ORTH": "brown"}, }, ] matcher = DependencyMatcher(en_vocab) matcher.add("pattern1", [pattern1]) matcher.add("pattern2", [pattern2]) matcher.add("pattern3", [pattern3]) return matcher def test_dependency_matcher_compile(dependency_matcher): assert len(dependency_matcher) == 3 # def test_dependency_matcher(dependency_matcher, text, heads, deps): # doc = get_doc(dependency_matcher.vocab, text.split(), heads=heads, deps=deps) # matches = dependency_matcher(doc) # assert matches[0][1] == [[3, 1, 2]] # assert matches[1][1] == [[4, 3, 3]] # assert matches[2][1] == [[4, 3, 2]] def test_matcher_basic_check(en_vocab): matcher = Matcher(en_vocab) # Potential mistake: pass in pattern instead of list of patterns pattern = [{"TEXT": "hello"}, {"TEXT": "world"}] with pytest.raises(ValueError): matcher.add("TEST", pattern) def test_attr_pipeline_checks(en_vocab): doc1 = Doc(en_vocab, words=["Test"]) doc1.is_parsed = True doc2 = Doc(en_vocab, words=["Test"]) doc2.is_tagged = True doc3 = Doc(en_vocab, words=["Test"]) # DEP requires is_parsed matcher = Matcher(en_vocab) matcher.add("TEST", [[{"DEP": "a"}]]) matcher(doc1) with pytest.raises(ValueError): matcher(doc2) with pytest.raises(ValueError): matcher(doc3) # TAG, POS, LEMMA require is_tagged for attr in ("TAG", "POS", "LEMMA"): matcher = Matcher(en_vocab) matcher.add("TEST", [[{attr: "a"}]]) matcher(doc2) with pytest.raises(ValueError): matcher(doc1) with pytest.raises(ValueError): matcher(doc3) # TEXT/ORTH only require tokens matcher = Matcher(en_vocab) matcher.add("TEST", [[{"ORTH": "a"}]]) matcher(doc1) matcher(doc2) matcher(doc3) matcher = Matcher(en_vocab) matcher.add("TEST", [[{"TEXT": "a"}]]) matcher(doc1) matcher(doc2) matcher(doc3) @pytest.mark.parametrize( "pattern,text", [ ([{"IS_ALPHA": True}], "a"), ([{"IS_ASCII": True}], "a"), ([{"IS_DIGIT": True}], "1"), ([{"IS_LOWER": True}], "a"), ([{"IS_UPPER": True}], "A"), ([{"IS_TITLE": True}], "Aaaa"), ([{"IS_PUNCT": True}], "."), ([{"IS_SPACE": True}], "\n"), ([{"IS_BRACKET": True}], "["), ([{"IS_QUOTE": True}], '"'), ([{"IS_LEFT_PUNCT": True}], "``"), ([{"IS_RIGHT_PUNCT": True}], "''"), ([{"IS_STOP": True}], "the"), ([{"LIKE_NUM": True}], "1"), ([{"LIKE_URL": True}], "http://example.com"), ([{"LIKE_EMAIL": True}], "mail@example.com"), ], ) def test_matcher_schema_token_attributes(en_vocab, pattern, text): matcher = Matcher(en_vocab) doc = Doc(en_vocab, words=text.split(" ")) matcher.add("Rule", [pattern]) assert len(matcher) == 1 matches = matcher(doc) assert len(matches) == 1 def test_matcher_valid_callback(en_vocab): """Test that on_match can only be None or callable.""" matcher = Matcher(en_vocab) with pytest.raises(ValueError): matcher.add("TEST", [[{"TEXT": "test"}]], on_match=[]) matcher(Doc(en_vocab, words=["test"])) def test_matcher_callback(en_vocab): mock = Mock() matcher = Matcher(en_vocab) pattern = [{"ORTH": "test"}] matcher.add("Rule", [pattern], on_match=mock) doc = Doc(en_vocab, words=["This", "is", "a", "test", "."]) matches = matcher(doc) mock.assert_called_once_with(matcher, doc, 0, matches)