mirror of
https://github.com/correl/openapi-core.git
synced 2024-11-24 11:09:54 +00:00
1056 lines
30 KiB
Python
1056 lines
30 KiB
Python
import datetime
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import mock
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import pytest
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from openapi_core.extensions.models.models import Model
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from openapi_core.spec.paths import SpecPath
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from openapi_core.unmarshalling.schemas.factories import (
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SchemaUnmarshallersFactory,
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)
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from openapi_core.unmarshalling.schemas.exceptions import (
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FormatterNotFoundError, InvalidSchemaValue,
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)
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from openapi_core.unmarshalling.schemas.util import build_format_checker
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from six import b, u
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class TestSchemaValidate(object):
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@pytest.fixture
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def validator_factory(self):
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def create_validator(schema):
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format_checker = build_format_checker()
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return SchemaUnmarshallersFactory(
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format_checker=format_checker).create(schema)
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return create_validator
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@pytest.mark.parametrize('schema_type', [
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'boolean', 'array', 'integer', 'number', 'string',
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])
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def test_null(self, schema_type, validator_factory):
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spec = {
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'type': schema_type,
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}
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schema = SpecPath.from_spec(spec)
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value = None
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with pytest.raises(InvalidSchemaValue):
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validator_factory(schema).validate(value)
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@pytest.mark.parametrize('schema_type', [
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'boolean', 'array', 'integer', 'number', 'string',
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])
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def test_nullable(self, schema_type, validator_factory):
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spec = {
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'type': schema_type,
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'nullable': True,
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}
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schema = SpecPath.from_spec(spec)
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value = None
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result = validator_factory(schema).validate(value)
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assert result is None
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def test_string_format_custom_missing(self, validator_factory):
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custom_format = 'custom'
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spec = {
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'type': 'string',
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'format': custom_format,
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}
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schema = SpecPath.from_spec(spec)
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value = 'x'
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with pytest.raises(FormatterNotFoundError):
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validator_factory(schema).validate(value)
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@pytest.mark.parametrize('value', [False, True])
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def test_boolean(self, value, validator_factory):
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spec = {
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'type': 'boolean',
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}
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schema = SpecPath.from_spec(spec)
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result = validator_factory(schema).validate(value)
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assert result is None
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@pytest.mark.parametrize('value', [1, 3.14, u('true'), [True, False]])
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def test_boolean_invalid(self, value, validator_factory):
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spec = {
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'type': 'boolean',
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}
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schema = SpecPath.from_spec(spec)
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with pytest.raises(InvalidSchemaValue):
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validator_factory(schema).validate(value)
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@pytest.mark.parametrize('value', [(1, 2)])
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def test_array_no_schema(self, value, validator_factory):
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spec = {
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'type': 'array',
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}
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schema = SpecPath.from_spec(spec)
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with pytest.raises(InvalidSchemaValue):
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validator_factory(schema).validate(value)
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@pytest.mark.parametrize('value', [[1, 2]])
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def test_array(self, value, validator_factory):
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spec = {
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'type': 'array',
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'items': {
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'type': 'integer',
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},
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}
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schema = SpecPath.from_spec(spec)
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result = validator_factory(schema).validate(value)
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assert result is None
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@pytest.mark.parametrize('value', [False, 1, 3.14, u('true'), (3, 4)])
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def test_array_invalid(self, value, validator_factory):
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spec = {
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'type': 'array',
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}
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schema = SpecPath.from_spec(spec)
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with pytest.raises(InvalidSchemaValue):
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validator_factory(schema).validate(value)
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@pytest.mark.parametrize('value', [1, 3])
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def test_integer(self, value, validator_factory):
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spec = {
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'type': 'integer',
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}
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schema = SpecPath.from_spec(spec)
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result = validator_factory(schema).validate(value)
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assert result is None
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@pytest.mark.parametrize('value', [False, 3.14, u('true'), [1, 2]])
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def test_integer_invalid(self, value, validator_factory):
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spec = {
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'type': 'integer',
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}
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schema = SpecPath.from_spec(spec)
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with pytest.raises(InvalidSchemaValue):
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validator_factory(schema).validate(value)
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@pytest.mark.parametrize('value', [0, 1, 2])
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def test_integer_minimum_invalid(self, value, validator_factory):
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spec = {
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'type': 'integer',
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'minimum': 3,
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}
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schema = SpecPath.from_spec(spec)
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with pytest.raises(InvalidSchemaValue):
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validator_factory(schema).validate(value)
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@pytest.mark.parametrize('value', [4, 5, 6])
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def test_integer_minimum(self, value, validator_factory):
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spec = {
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'type': 'integer',
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'minimum': 3,
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}
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schema = SpecPath.from_spec(spec)
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result = validator_factory(schema).validate(value)
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assert result is None
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@pytest.mark.parametrize('value', [4, 5, 6])
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def test_integer_maximum_invalid(self, value, validator_factory):
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spec = {
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'type': 'integer',
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'maximum': 3,
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}
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schema = SpecPath.from_spec(spec)
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with pytest.raises(InvalidSchemaValue):
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validator_factory(schema).validate(value)
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@pytest.mark.parametrize('value', [0, 1, 2])
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def test_integer_maximum(self, value, validator_factory):
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spec = {
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'type': 'integer',
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'maximum': 3,
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}
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schema = SpecPath.from_spec(spec)
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result = validator_factory(schema).validate(value)
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assert result is None
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@pytest.mark.parametrize('value', [1, 2, 4])
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def test_integer_multiple_of_invalid(self, value, validator_factory):
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spec = {
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'type': 'integer',
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'multipleOf': 3,
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}
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schema = SpecPath.from_spec(spec)
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with pytest.raises(InvalidSchemaValue):
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validator_factory(schema).validate(value)
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@pytest.mark.parametrize('value', [3, 6, 18])
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def test_integer_multiple_of(self, value, validator_factory):
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spec = {
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'type': 'integer',
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'multipleOf': 3,
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}
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schema = SpecPath.from_spec(spec)
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result = validator_factory(schema).validate(value)
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assert result is None
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@pytest.mark.parametrize('value', [1, 3.14])
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def test_number(self, value, validator_factory):
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spec = {
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'type': 'number',
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}
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schema = SpecPath.from_spec(spec)
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result = validator_factory(schema).validate(value)
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assert result is None
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@pytest.mark.parametrize('value', [False, 'true', [1, 3]])
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def test_number_invalid(self, value, validator_factory):
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spec = {
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'type': 'number',
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}
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schema = SpecPath.from_spec(spec)
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with pytest.raises(InvalidSchemaValue):
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validator_factory(schema).validate(value)
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@pytest.mark.parametrize('value', [0, 1, 2])
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def test_number_minimum_invalid(self, value, validator_factory):
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spec = {
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'type': 'number',
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'minimum': 3,
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}
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schema = SpecPath.from_spec(spec)
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with pytest.raises(InvalidSchemaValue):
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validator_factory(schema).validate(value)
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@pytest.mark.parametrize('value', [3, 4, 5])
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def test_number_minimum(self, value, validator_factory):
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spec = {
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'type': 'number',
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'minimum': 3,
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}
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schema = SpecPath.from_spec(spec)
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result = validator_factory(schema).validate(value)
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assert result is None
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@pytest.mark.parametrize('value', [1, 2, 3])
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def test_number_exclusive_minimum_invalid(self, value, validator_factory):
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spec = {
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'type': 'number',
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'minimum': 3,
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'exclusiveMinimum': True,
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}
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schema = SpecPath.from_spec(spec)
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with pytest.raises(InvalidSchemaValue):
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validator_factory(schema).validate(value)
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@pytest.mark.parametrize('value', [4, 5, 6])
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def test_number_exclusive_minimum(self, value, validator_factory):
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spec = {
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'type': 'number',
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'minimum': 3,
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'exclusiveMinimum': True,
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}
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schema = SpecPath.from_spec(spec)
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result = validator_factory(schema).validate(value)
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assert result is None
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@pytest.mark.parametrize('value', [4, 5, 6])
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def test_number_maximum_invalid(self, value, validator_factory):
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spec = {
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'type': 'number',
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'maximum': 3,
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}
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schema = SpecPath.from_spec(spec)
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with pytest.raises(InvalidSchemaValue):
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validator_factory(schema).validate(value)
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@pytest.mark.parametrize('value', [1, 2, 3])
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def test_number_maximum(self, value, validator_factory):
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spec = {
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'type': 'number',
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'maximum': 3,
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}
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schema = SpecPath.from_spec(spec)
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result = validator_factory(schema).validate(value)
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assert result is None
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@pytest.mark.parametrize('value', [3, 4, 5])
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def test_number_exclusive_maximum_invalid(self, value, validator_factory):
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spec = {
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'type': 'number',
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'maximum': 3,
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'exclusiveMaximum': True,
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}
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schema = SpecPath.from_spec(spec)
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with pytest.raises(InvalidSchemaValue):
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validator_factory(schema).validate(value)
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@pytest.mark.parametrize('value', [0, 1, 2])
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def test_number_exclusive_maximum(self, value, validator_factory):
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spec = {
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'type': 'number',
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'maximum': 3,
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'exclusiveMaximum': True,
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}
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schema = SpecPath.from_spec(spec)
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result = validator_factory(schema).validate(value)
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assert result is None
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@pytest.mark.parametrize('value', [1, 2, 4])
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def test_number_multiple_of_invalid(self, value, validator_factory):
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spec = {
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'type': 'number',
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'multipleOf': 3,
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}
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schema = SpecPath.from_spec(spec)
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with pytest.raises(InvalidSchemaValue):
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validator_factory(schema).validate(value)
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@pytest.mark.parametrize('value', [3, 6, 18])
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def test_number_multiple_of(self, value, validator_factory):
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spec = {
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'type': 'number',
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'multipleOf': 3,
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}
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schema = SpecPath.from_spec(spec)
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result = validator_factory(schema).validate(value)
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assert result is None
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@pytest.mark.parametrize('value', [u('true'), b('test')])
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def test_string(self, value, validator_factory):
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spec = {
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'type': 'string',
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}
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schema = SpecPath.from_spec(spec)
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result = validator_factory(schema).validate(value)
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assert result is None
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@pytest.mark.parametrize('value', [False, 1, 3.14, [1, 3]])
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def test_string_invalid(self, value, validator_factory):
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spec = {
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'type': 'string',
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}
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schema = SpecPath.from_spec(spec)
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with pytest.raises(InvalidSchemaValue):
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validator_factory(schema).validate(value)
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@pytest.mark.parametrize('value', [
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b('true'), u('test'), False, 1, 3.14, [1, 3],
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datetime.datetime(1989, 1, 2),
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])
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def test_string_format_date_invalid(self, value, validator_factory):
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spec = {
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'type': 'string',
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'format': 'date',
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}
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schema = SpecPath.from_spec(spec)
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with pytest.raises(InvalidSchemaValue):
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validator_factory(schema).validate(value)
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@pytest.mark.parametrize('value', [
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u('1989-01-02'), u('2018-01-02'),
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])
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def test_string_format_date(self, value, validator_factory):
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spec = {
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'type': 'string',
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'format': 'date',
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}
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schema = SpecPath.from_spec(spec)
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result = validator_factory(schema).validate(value)
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assert result is None
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@pytest.mark.parametrize('value', [
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u('12345678-1234-5678-1234-567812345678'),
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])
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def test_string_format_uuid(self, value, validator_factory):
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spec = {
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'type': 'string',
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'format': 'uuid',
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}
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schema = SpecPath.from_spec(spec)
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result = validator_factory(schema).validate(value)
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assert result is None
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@pytest.mark.parametrize('value', [
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b('true'), u('true'), False, 1, 3.14, [1, 3],
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datetime.date(2018, 1, 2), datetime.datetime(2018, 1, 2, 23, 59, 59),
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])
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def test_string_format_uuid_invalid(self, value, validator_factory):
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spec = {
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'type': 'string',
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'format': 'uuid',
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}
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schema = SpecPath.from_spec(spec)
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with pytest.raises(InvalidSchemaValue):
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validator_factory(schema).validate(value)
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@pytest.mark.parametrize('value', [
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b('true'), u('true'), False, 1, 3.14, [1, 3],
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u('1989-01-02'),
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])
|
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def test_string_format_datetime_invalid(self, value, validator_factory):
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spec = {
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'type': 'string',
|
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'format': 'date-time',
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}
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schema = SpecPath.from_spec(spec)
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with pytest.raises(InvalidSchemaValue):
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validator_factory(schema).validate(value)
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@pytest.mark.parametrize('value', [
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u('1989-01-02T00:00:00Z'),
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u('2018-01-02T23:59:59Z'),
|
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])
|
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@mock.patch(
|
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'openapi_schema_validator._format.'
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'DATETIME_HAS_STRICT_RFC3339', True
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)
|
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@mock.patch(
|
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'openapi_schema_validator._format.'
|
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'DATETIME_HAS_ISODATE', False
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)
|
|
def test_string_format_datetime_strict_rfc3339(
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self, value, validator_factory):
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spec = {
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'type': 'string',
|
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'format': 'date-time',
|
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}
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schema = SpecPath.from_spec(spec)
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result = validator_factory(schema).validate(value)
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assert result is None
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|
|
@pytest.mark.parametrize('value', [
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u('1989-01-02T00:00:00Z'),
|
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u('2018-01-02T23:59:59Z'),
|
|
])
|
|
@mock.patch(
|
|
'openapi_schema_validator._format.'
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'DATETIME_HAS_STRICT_RFC3339', False
|
|
)
|
|
@mock.patch(
|
|
'openapi_schema_validator._format.'
|
|
'DATETIME_HAS_ISODATE', True
|
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)
|
|
def test_string_format_datetime_isodate(self, value, validator_factory):
|
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spec = {
|
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'type': 'string',
|
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'format': 'date-time',
|
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}
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schema = SpecPath.from_spec(spec)
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result = validator_factory(schema).validate(value)
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assert result is None
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|
|
@pytest.mark.parametrize('value', [
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u('true'), False, 1, 3.14, [1, 3], u('1989-01-02'),
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u('1989-01-02T00:00:00Z'),
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])
|
|
def test_string_format_binary_invalid(self, value, validator_factory):
|
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spec = {
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'type': 'string',
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'format': 'binary',
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}
|
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schema = SpecPath.from_spec(spec)
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|
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with pytest.raises(InvalidSchemaValue):
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validator_factory(schema).validate(value)
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@pytest.mark.parametrize('value', [
|
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b('stream'), b('text'),
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])
|
|
def test_string_format_binary(self, value, validator_factory):
|
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spec = {
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'type': 'string',
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'format': 'binary',
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}
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schema = SpecPath.from_spec(spec)
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result = validator_factory(schema).validate(value)
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assert result is None
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@pytest.mark.parametrize('value', [
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b('dGVzdA=='), u('dGVzdA=='),
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])
|
|
def test_string_format_byte(self, value, validator_factory):
|
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spec = {
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'type': 'string',
|
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'format': 'byte',
|
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}
|
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schema = SpecPath.from_spec(spec)
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|
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result = validator_factory(schema).validate(value)
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assert result is None
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@pytest.mark.parametrize('value', [
|
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u('tsssst'), b('tsssst'), b('tesddddsdsdst'),
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])
|
|
def test_string_format_byte_invalid(self, value, validator_factory):
|
|
spec = {
|
|
'type': 'string',
|
|
'format': 'byte',
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
|
|
with pytest.raises(InvalidSchemaValue):
|
|
validator_factory(schema).validate(value)
|
|
|
|
@pytest.mark.parametrize('value', [
|
|
u('test'), b('stream'), datetime.date(1989, 1, 2),
|
|
datetime.datetime(1989, 1, 2, 0, 0, 0),
|
|
])
|
|
def test_string_format_unknown(self, value, validator_factory):
|
|
unknown_format = 'unknown'
|
|
spec = {
|
|
'type': 'string',
|
|
'format': unknown_format,
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
|
|
with pytest.raises(FormatterNotFoundError):
|
|
validator_factory(schema).validate(value)
|
|
|
|
@pytest.mark.parametrize('value', [u(""), u("a"), u("ab")])
|
|
def test_string_min_length_invalid(self, value, validator_factory):
|
|
spec = {
|
|
'type': 'string',
|
|
'minLength': 3,
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
|
|
with pytest.raises(InvalidSchemaValue):
|
|
validator_factory(schema).validate(value)
|
|
|
|
@pytest.mark.parametrize('value', [u("abc"), u("abcd")])
|
|
def test_string_min_length(self, value, validator_factory):
|
|
spec = {
|
|
'type': 'string',
|
|
'minLength': 3,
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
|
|
result = validator_factory(schema).validate(value)
|
|
|
|
assert result is None
|
|
|
|
@pytest.mark.parametrize('value', [u(""), ])
|
|
def test_string_max_length_invalid_schema(self, value, validator_factory):
|
|
spec = {
|
|
'type': 'string',
|
|
'maxLength': -1,
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
|
|
with pytest.raises(InvalidSchemaValue):
|
|
validator_factory(schema).validate(value)
|
|
|
|
@pytest.mark.parametrize('value', [u("ab"), u("abc")])
|
|
def test_string_max_length_invalid(self, value, validator_factory):
|
|
spec = {
|
|
'type': 'string',
|
|
'maxLength': 1,
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
|
|
with pytest.raises(InvalidSchemaValue):
|
|
validator_factory(schema).validate(value)
|
|
|
|
@pytest.mark.parametrize('value', [u(""), u("a")])
|
|
def test_string_max_length(self, value, validator_factory):
|
|
spec = {
|
|
'type': 'string',
|
|
'maxLength': 1,
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
|
|
result = validator_factory(schema).validate(value)
|
|
|
|
assert result is None
|
|
|
|
@pytest.mark.parametrize('value', [u("foo"), u("bar")])
|
|
def test_string_pattern_invalid(self, value, validator_factory):
|
|
spec = {
|
|
'type': 'string',
|
|
'pattern': 'baz',
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
|
|
with pytest.raises(InvalidSchemaValue):
|
|
validator_factory(schema).validate(value)
|
|
|
|
@pytest.mark.parametrize('value', [u("bar"), u("foobar")])
|
|
def test_string_pattern(self, value, validator_factory):
|
|
spec = {
|
|
'type': 'string',
|
|
'pattern': 'bar',
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
|
|
result = validator_factory(schema).validate(value)
|
|
|
|
assert result is None
|
|
|
|
@pytest.mark.parametrize('value', ['true', False, 1, 3.14, [1, 3]])
|
|
def test_object_not_an_object(self, value, validator_factory):
|
|
spec = {
|
|
'type': 'object',
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
|
|
with pytest.raises(InvalidSchemaValue):
|
|
validator_factory(schema).validate(value)
|
|
|
|
@pytest.mark.parametrize('value', [Model(), ])
|
|
def test_object_multiple_one_of(self, value, validator_factory):
|
|
one_of = [
|
|
{
|
|
'type': 'object',
|
|
},
|
|
{
|
|
'type': 'object',
|
|
},
|
|
]
|
|
spec = {
|
|
'type': 'object',
|
|
'oneOf': one_of,
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
|
|
with pytest.raises(InvalidSchemaValue):
|
|
validator_factory(schema).validate(value)
|
|
|
|
@pytest.mark.parametrize('value', [{}, ])
|
|
def test_object_different_type_one_of(self, value, validator_factory):
|
|
one_of = [
|
|
{
|
|
'type': 'integer',
|
|
},
|
|
{
|
|
'type': 'string',
|
|
},
|
|
]
|
|
spec = {
|
|
'type': 'object',
|
|
'oneOf': one_of,
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
|
|
with pytest.raises(InvalidSchemaValue):
|
|
validator_factory(schema).validate(value)
|
|
|
|
@pytest.mark.parametrize('value', [{}, ])
|
|
def test_object_no_one_of(self, value, validator_factory):
|
|
one_of = [
|
|
{
|
|
'type': 'object',
|
|
'required': ['test1', ],
|
|
'properties': {
|
|
'test1': {
|
|
'type': 'string',
|
|
},
|
|
},
|
|
},
|
|
{
|
|
'type': 'object',
|
|
'required': ['test2', ],
|
|
'properties': {
|
|
'test2': {
|
|
'type': 'string',
|
|
},
|
|
},
|
|
},
|
|
]
|
|
spec = {
|
|
'type': 'object',
|
|
'oneOf': one_of,
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
|
|
with pytest.raises(InvalidSchemaValue):
|
|
validator_factory(schema).validate(value)
|
|
|
|
@pytest.mark.parametrize('value', [
|
|
{
|
|
'foo': u("FOO"),
|
|
},
|
|
{
|
|
'foo': u("FOO"),
|
|
'bar': u("BAR"),
|
|
},
|
|
])
|
|
def test_unambiguous_one_of(self, value, validator_factory):
|
|
one_of = [
|
|
{
|
|
'type': 'object',
|
|
'required': ['foo', ],
|
|
'properties': {
|
|
'foo': {
|
|
'type': 'string',
|
|
},
|
|
},
|
|
'additionalProperties': False,
|
|
},
|
|
{
|
|
'type': 'object',
|
|
'required': ['foo', 'bar'],
|
|
'properties': {
|
|
'foo': {
|
|
'type': 'string',
|
|
},
|
|
'bar': {
|
|
'type': 'string',
|
|
},
|
|
},
|
|
'additionalProperties': False,
|
|
},
|
|
]
|
|
spec = {
|
|
'type': 'object',
|
|
'oneOf': one_of,
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
|
|
result = validator_factory(schema).validate(value)
|
|
|
|
assert result is None
|
|
|
|
@pytest.mark.parametrize('value', [{}, ])
|
|
def test_object_default_property(self, value, validator_factory):
|
|
spec = {
|
|
'type': 'object',
|
|
'default': 'value1',
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
|
|
result = validator_factory(schema).validate(value)
|
|
|
|
assert result is None
|
|
|
|
@pytest.mark.parametrize('value', [{}, ])
|
|
def test_object_min_properties_invalid_schema(
|
|
self, value, validator_factory):
|
|
spec = {
|
|
'type': 'object',
|
|
'minProperties': 2,
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
|
|
with pytest.raises(InvalidSchemaValue):
|
|
validator_factory(schema).validate(value)
|
|
|
|
@pytest.mark.parametrize('value', [
|
|
{'a': 1},
|
|
{'a': 1, 'b': 2},
|
|
{'a': 1, 'b': 2, 'c': 3},
|
|
])
|
|
def test_object_min_properties_invalid(self, value, validator_factory):
|
|
spec = {
|
|
'type': 'object',
|
|
'properties': {
|
|
k: {'type': 'number'}
|
|
for k in ['a', 'b', 'c']
|
|
},
|
|
'minProperties': 4,
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
|
|
with pytest.raises(InvalidSchemaValue):
|
|
validator_factory(schema).validate(value)
|
|
|
|
@pytest.mark.parametrize('value', [
|
|
{'a': 1},
|
|
{'a': 1, 'b': 2},
|
|
{'a': 1, 'b': 2, 'c': 3},
|
|
])
|
|
def test_object_min_properties(self, value, validator_factory):
|
|
spec = {
|
|
'type': 'object',
|
|
'properties': {
|
|
k: {'type': 'number'}
|
|
for k in ['a', 'b', 'c']
|
|
},
|
|
'minProperties': 1,
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
result = validator_factory(schema).validate(value)
|
|
|
|
assert result is None
|
|
|
|
@pytest.mark.parametrize('value', [{}, ])
|
|
def test_object_max_properties_invalid_schema(
|
|
self, value, validator_factory):
|
|
spec = {
|
|
'type': 'object',
|
|
'maxProperties': -1,
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
|
|
with pytest.raises(InvalidSchemaValue):
|
|
validator_factory(schema).validate(value)
|
|
|
|
@pytest.mark.parametrize('value', [
|
|
{'a': 1},
|
|
{'a': 1, 'b': 2},
|
|
{'a': 1, 'b': 2, 'c': 3},
|
|
])
|
|
def test_object_max_properties_invalid(self, value, validator_factory):
|
|
spec = {
|
|
'type': 'object',
|
|
'properties': {
|
|
k: {'type': 'number'}
|
|
for k in ['a', 'b', 'c']
|
|
},
|
|
'maxProperties': 0,
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
|
|
with pytest.raises(InvalidSchemaValue):
|
|
validator_factory(schema).validate(value)
|
|
|
|
@pytest.mark.parametrize('value', [
|
|
{'a': 1},
|
|
{'a': 1, 'b': 2},
|
|
{'a': 1, 'b': 2, 'c': 3},
|
|
])
|
|
def test_object_max_properties(self, value, validator_factory):
|
|
spec = {
|
|
'type': 'object',
|
|
'properties': {
|
|
k: {'type': 'number'}
|
|
for k in ['a', 'b', 'c']
|
|
},
|
|
'maxProperties': 3,
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
|
|
result = validator_factory(schema).validate(value)
|
|
|
|
assert result is None
|
|
|
|
@pytest.mark.parametrize('value', [{'additional': 1}, ])
|
|
def test_object_additional_properties(self, value, validator_factory):
|
|
spec = {
|
|
'type': 'object',
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
|
|
result = validator_factory(schema).validate(value)
|
|
|
|
assert result is None
|
|
|
|
@pytest.mark.parametrize('value', [{'additional': 1}, ])
|
|
def test_object_additional_properties_false(
|
|
self, value, validator_factory):
|
|
spec = {
|
|
'type': 'object',
|
|
'additionalProperties': False,
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
|
|
with pytest.raises(InvalidSchemaValue):
|
|
validator_factory(schema).validate(value)
|
|
|
|
@pytest.mark.parametrize('value', [{'additional': 1}, ])
|
|
def test_object_additional_properties_object(
|
|
self, value, validator_factory):
|
|
additional_properties = {
|
|
'type': 'integer',
|
|
}
|
|
spec = {
|
|
'type': 'object',
|
|
'additionalProperties': additional_properties,
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
|
|
result = validator_factory(schema).validate(value)
|
|
|
|
assert result is None
|
|
|
|
@pytest.mark.parametrize('value', [[], [1], [1, 2]])
|
|
def test_list_min_items_invalid(self, value, validator_factory):
|
|
spec = {
|
|
'type': 'array',
|
|
'items': {
|
|
'type': 'number',
|
|
},
|
|
'minItems': 3,
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
|
|
with pytest.raises(Exception):
|
|
validator_factory(schema).validate(value)
|
|
|
|
@pytest.mark.parametrize('value', [[], [1], [1, 2]])
|
|
def test_list_min_items(self, value, validator_factory):
|
|
spec = {
|
|
'type': 'array',
|
|
'items': {
|
|
'type': 'number',
|
|
},
|
|
'minItems': 0,
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
|
|
result = validator_factory(schema).validate(value)
|
|
|
|
assert result is None
|
|
|
|
@pytest.mark.parametrize('value', [[], ])
|
|
def test_list_max_items_invalid_schema(self, value, validator_factory):
|
|
spec = {
|
|
'type': 'array',
|
|
'items': {
|
|
'type': 'number',
|
|
},
|
|
'maxItems': -1,
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
|
|
with pytest.raises(InvalidSchemaValue):
|
|
validator_factory(schema).validate(value)
|
|
|
|
@pytest.mark.parametrize('value', [[1, 2], [2, 3, 4]])
|
|
def test_list_max_items_invalid(self, value, validator_factory):
|
|
spec = {
|
|
'type': 'array',
|
|
'items': {
|
|
'type': 'number',
|
|
},
|
|
'maxItems': 1,
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
|
|
with pytest.raises(Exception):
|
|
validator_factory(schema).validate(value)
|
|
|
|
@pytest.mark.parametrize('value', [[1, 2, 1], [2, 2]])
|
|
def test_list_unique_items_invalid(self, value, validator_factory):
|
|
spec = {
|
|
'type': 'array',
|
|
'items': {
|
|
'type': 'number',
|
|
},
|
|
'uniqueItems': True,
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
|
|
with pytest.raises(Exception):
|
|
validator_factory(schema).validate(value)
|
|
|
|
@pytest.mark.parametrize('value', [
|
|
{
|
|
'someint': 123,
|
|
},
|
|
{
|
|
'somestr': u('content'),
|
|
},
|
|
{
|
|
'somestr': u('content'),
|
|
'someint': 123,
|
|
},
|
|
])
|
|
def test_object_with_properties(self, value, validator_factory):
|
|
spec = {
|
|
'type': 'object',
|
|
'properties': {
|
|
'somestr': {
|
|
'type': 'string',
|
|
},
|
|
'someint': {
|
|
'type': 'integer',
|
|
}
|
|
}
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
|
|
result = validator_factory(schema).validate(value)
|
|
|
|
assert result is None
|
|
|
|
@pytest.mark.parametrize('value', [
|
|
{
|
|
'somestr': {},
|
|
'someint': 123,
|
|
},
|
|
{
|
|
'somestr': [
|
|
'content1', 'content2'
|
|
],
|
|
'someint': 123,
|
|
},
|
|
{
|
|
'somestr': 123,
|
|
'someint': 123,
|
|
},
|
|
{
|
|
'somestr': 'content',
|
|
'someint': 123,
|
|
'not_in_scheme_prop': 123,
|
|
},
|
|
])
|
|
def test_object_with_invalid_properties(self, value, validator_factory):
|
|
spec = {
|
|
'type': 'object',
|
|
'properties': {
|
|
'somestr': {
|
|
'type': 'string',
|
|
},
|
|
'someint': {
|
|
'type': 'integer',
|
|
}
|
|
},
|
|
'additionalProperties': False,
|
|
}
|
|
schema = SpecPath.from_spec(spec)
|
|
|
|
with pytest.raises(Exception):
|
|
validator_factory(schema).validate(value)
|