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51 lines
1.5 KiB
Python
51 lines
1.5 KiB
Python
# coding: utf-8
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from __future__ import unicode_literals
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from spacy.util import get_json_validator, validate_json, validate_schema
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from spacy.cli._schemas import META_SCHEMA, TRAINING_SCHEMA
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from spacy.matcher._schemas import TOKEN_PATTERN_SCHEMA
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import pytest
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@pytest.fixture(scope="session")
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def training_schema_validator():
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return get_json_validator(TRAINING_SCHEMA)
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def test_validate_schema():
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validate_schema({"type": "object"})
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with pytest.raises(Exception):
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validate_schema({"type": lambda x: x})
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@pytest.mark.parametrize("schema", [TRAINING_SCHEMA, META_SCHEMA, TOKEN_PATTERN_SCHEMA])
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def test_schemas(schema):
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validate_schema(schema)
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@pytest.mark.parametrize(
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"data",
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[
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{"text": "Hello world"},
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{"text": "Hello", "ents": [{"start": 0, "end": 5, "label": "TEST"}]},
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],
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)
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def test_json_schema_training_valid(data, training_schema_validator):
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errors = validate_json([data], training_schema_validator)
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assert not errors
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@pytest.mark.parametrize(
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"data,n_errors",
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[
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({"spans": []}, 1),
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({"text": "Hello", "ents": [{"start": "0", "end": "5", "label": "TEST"}]}, 2),
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({"text": "Hello", "ents": [{"start": 0, "end": 5}]}, 1),
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({"text": "Hello", "ents": [{"start": 0, "end": 5, "label": "test"}]}, 1),
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({"text": "spaCy", "tokens": [{"pos": "PROPN"}]}, 2),
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],
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)
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def test_json_schema_training_invalid(data, n_errors, training_schema_validator):
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errors = validate_json([data], training_schema_validator)
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assert len(errors) == n_errors
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