spaCy/spacy/tests/matcher/test_pattern_validation.py
2019-09-29 17:32:12 +02:00

76 lines
2.7 KiB
Python

# coding: utf-8
from __future__ import unicode_literals
import pytest
from spacy.matcher import Matcher
from spacy.matcher._schemas import TOKEN_PATTERN_SCHEMA
from spacy.errors import MatchPatternError
from spacy.util import get_json_validator, validate_json
# (pattern, num errors with validation, num errors identified with minimal
# checks)
TEST_PATTERNS = [
# Bad patterns flagged in all cases
([{"XX": "foo"}], 1, 1),
([{"LENGTH": "2", "TEXT": 2}, {"LOWER": "test"}], 2, 1),
([{"IS_ALPHA": {"==": True}}, {"LIKE_NUM": None}], 2, 1),
([{"IS_PUNCT": True, "OP": "$"}], 1, 1),
([{"IS_DIGIT": -1}], 1, 1),
([{"ORTH": -1}], 1, 1),
([{"_": "foo"}], 1, 1),
('[{"TEXT": "foo"}, {"LOWER": "bar"}]', 1, 1),
([1, 2, 3], 3, 1),
# Bad patterns flagged outside of Matcher
([{"_": {"foo": "bar", "baz": {"IN": "foo"}}}], 1, 0),
# Bad patterns not flagged with minimal checks
([{"LENGTH": {"IN": [1, 2, "3"]}}, {"POS": {"IN": "VERB"}}], 2, 0),
([{"LENGTH": {"VALUE": 5}}], 1, 0),
([{"TEXT": {"VALUE": "foo"}}], 1, 0),
# Good patterns
([{"TEXT": "foo"}, {"LOWER": "bar"}], 0, 0),
([{"LEMMA": {"IN": ["love", "like"]}}, {"POS": "DET", "OP": "?"}], 0, 0),
([{"LIKE_NUM": True, "LENGTH": {">=": 5}}], 0, 0),
([{"LOWER": {"REGEX": "^X", "NOT_IN": ["XXX", "XY"]}}], 0, 0),
([{"NORM": "a"}, {"POS": {"IN": ["NOUN"]}}], 0, 0),
([{"_": {"foo": {"NOT_IN": ["bar", "baz"]}, "a": 5, "b": {">": 10}}}], 0, 0),
]
XFAIL_TEST_PATTERNS = [([{"orth": "foo"}], 0, 0)]
@pytest.fixture
def validator():
return get_json_validator(TOKEN_PATTERN_SCHEMA)
@pytest.mark.parametrize(
"pattern", [[{"XX": "y"}, {"LENGTH": "2"}, {"TEXT": {"IN": 5}}]]
)
def test_matcher_pattern_validation(en_vocab, pattern):
matcher = Matcher(en_vocab, validate=True)
with pytest.raises(MatchPatternError):
matcher.add("TEST", None, pattern)
@pytest.mark.parametrize("pattern,n_errors,_", TEST_PATTERNS)
def test_pattern_validation(validator, pattern, n_errors, _):
errors = validate_json(pattern, validator)
assert len(errors) == n_errors
@pytest.mark.xfail
@pytest.mark.parametrize("pattern,n_errors,_", XFAIL_TEST_PATTERNS)
def test_xfail_pattern_validation(validator, pattern, n_errors, _):
errors = validate_json(pattern, validator)
assert len(errors) == n_errors
@pytest.mark.parametrize("pattern,n_errors,n_min_errors", TEST_PATTERNS)
def test_minimal_pattern_validation(en_vocab, pattern, n_errors, n_min_errors):
matcher = Matcher(en_vocab)
if n_min_errors > 0:
with pytest.raises(ValueError):
matcher.add("TEST", None, pattern)
elif n_errors == 0:
matcher.add("TEST", None, pattern)