import datetime import mock import pytest from openapi_core.extensions.models.models import Model from openapi_core.spec.paths import SpecPath from openapi_core.unmarshalling.schemas.factories import ( SchemaUnmarshallersFactory, ) from openapi_core.unmarshalling.schemas.exceptions import ( FormatterNotFoundError, InvalidSchemaValue, ) from openapi_core.unmarshalling.schemas.util import build_format_checker from six import b, u class TestSchemaValidate(object): @pytest.fixture def validator_factory(self): def create_validator(schema): format_checker = build_format_checker() return SchemaUnmarshallersFactory( format_checker=format_checker).create(schema) return create_validator @pytest.mark.parametrize('schema_type', [ 'boolean', 'array', 'integer', 'number', 'string', ]) def test_null(self, schema_type, validator_factory): spec = { 'type': schema_type, } schema = SpecPath.from_spec(spec) value = None with pytest.raises(InvalidSchemaValue): validator_factory(schema).validate(value) @pytest.mark.parametrize('schema_type', [ 'boolean', 'array', 'integer', 'number', 'string', ]) def test_nullable(self, schema_type, validator_factory): spec = { 'type': schema_type, 'nullable': True, } schema = SpecPath.from_spec(spec) value = None result = validator_factory(schema).validate(value) assert result is None def test_string_format_custom_missing(self, validator_factory): custom_format = 'custom' spec = { 'type': 'string', 'format': custom_format, } schema = SpecPath.from_spec(spec) value = 'x' with pytest.raises(FormatterNotFoundError): validator_factory(schema).validate(value) @pytest.mark.parametrize('value', [False, True]) def test_boolean(self, value, validator_factory): spec = { 'type': 'boolean', } schema = SpecPath.from_spec(spec) result = validator_factory(schema).validate(value) assert result is None @pytest.mark.parametrize('value', [1, 3.14, u('true'), [True, False]]) def test_boolean_invalid(self, value, validator_factory): spec = { 'type': 'boolean', } schema = SpecPath.from_spec(spec) with pytest.raises(InvalidSchemaValue): validator_factory(schema).validate(value) @pytest.mark.parametrize('value', [(1, 2)]) def test_array_no_schema(self, value, validator_factory): spec = { 'type': 'array', } schema = SpecPath.from_spec(spec) with pytest.raises(InvalidSchemaValue): validator_factory(schema).validate(value) @pytest.mark.parametrize('value', [[1, 2]]) def test_array(self, value, validator_factory): spec = { 'type': 'array', 'items': { 'type': 'integer', }, } schema = SpecPath.from_spec(spec) result = validator_factory(schema).validate(value) assert result is None @pytest.mark.parametrize('value', [False, 1, 3.14, u('true'), (3, 4)]) def test_array_invalid(self, value, validator_factory): spec = { 'type': 'array', } schema = SpecPath.from_spec(spec) with pytest.raises(InvalidSchemaValue): validator_factory(schema).validate(value) @pytest.mark.parametrize('value', [1, 3]) def test_integer(self, value, validator_factory): spec = { 'type': 'integer', } schema = SpecPath.from_spec(spec) result = validator_factory(schema).validate(value) assert result is None @pytest.mark.parametrize('value', [False, 3.14, u('true'), [1, 2]]) def test_integer_invalid(self, value, validator_factory): spec = { 'type': 'integer', } schema = SpecPath.from_spec(spec) with pytest.raises(InvalidSchemaValue): validator_factory(schema).validate(value) @pytest.mark.parametrize('value', [0, 1, 2]) def test_integer_minimum_invalid(self, value, validator_factory): spec = { 'type': 'integer', 'minimum': 3, } schema = SpecPath.from_spec(spec) with pytest.raises(InvalidSchemaValue): validator_factory(schema).validate(value) @pytest.mark.parametrize('value', [4, 5, 6]) def test_integer_minimum(self, value, validator_factory): spec = { 'type': 'integer', 'minimum': 3, } schema = SpecPath.from_spec(spec) result = validator_factory(schema).validate(value) assert result is None @pytest.mark.parametrize('value', [4, 5, 6]) def test_integer_maximum_invalid(self, value, validator_factory): spec = { 'type': 'integer', 'maximum': 3, } schema = SpecPath.from_spec(spec) with pytest.raises(InvalidSchemaValue): validator_factory(schema).validate(value) @pytest.mark.parametrize('value', [0, 1, 2]) def test_integer_maximum(self, value, validator_factory): spec = { 'type': 'integer', 'maximum': 3, } schema = SpecPath.from_spec(spec) result = validator_factory(schema).validate(value) assert result is None @pytest.mark.parametrize('value', [1, 2, 4]) def test_integer_multiple_of_invalid(self, value, validator_factory): spec = { 'type': 'integer', 'multipleOf': 3, } schema = SpecPath.from_spec(spec) with pytest.raises(InvalidSchemaValue): validator_factory(schema).validate(value) @pytest.mark.parametrize('value', [3, 6, 18]) def test_integer_multiple_of(self, value, validator_factory): spec = { 'type': 'integer', 'multipleOf': 3, } schema = SpecPath.from_spec(spec) result = validator_factory(schema).validate(value) assert result is None @pytest.mark.parametrize('value', [1, 3.14]) def test_number(self, value, validator_factory): spec = { 'type': 'number', } schema = SpecPath.from_spec(spec) result = validator_factory(schema).validate(value) assert result is None @pytest.mark.parametrize('value', [False, 'true', [1, 3]]) def test_number_invalid(self, value, validator_factory): spec = { 'type': 'number', } schema = SpecPath.from_spec(spec) with pytest.raises(InvalidSchemaValue): validator_factory(schema).validate(value) @pytest.mark.parametrize('value', [0, 1, 2]) def test_number_minimum_invalid(self, value, validator_factory): spec = { 'type': 'number', 'minimum': 3, } schema = SpecPath.from_spec(spec) with pytest.raises(InvalidSchemaValue): validator_factory(schema).validate(value) @pytest.mark.parametrize('value', [3, 4, 5]) def test_number_minimum(self, value, validator_factory): spec = { 'type': 'number', 'minimum': 3, } schema = SpecPath.from_spec(spec) result = validator_factory(schema).validate(value) assert result is None @pytest.mark.parametrize('value', [1, 2, 3]) def test_number_exclusive_minimum_invalid(self, value, validator_factory): spec = { 'type': 'number', 'minimum': 3, 'exclusiveMinimum': True, } schema = SpecPath.from_spec(spec) with pytest.raises(InvalidSchemaValue): validator_factory(schema).validate(value) @pytest.mark.parametrize('value', [4, 5, 6]) def test_number_exclusive_minimum(self, value, validator_factory): spec = { 'type': 'number', 'minimum': 3, 'exclusiveMinimum': True, } schema = SpecPath.from_spec(spec) result = validator_factory(schema).validate(value) assert result is None @pytest.mark.parametrize('value', [4, 5, 6]) def test_number_maximum_invalid(self, value, validator_factory): spec = { 'type': 'number', 'maximum': 3, } schema = SpecPath.from_spec(spec) with pytest.raises(InvalidSchemaValue): validator_factory(schema).validate(value) @pytest.mark.parametrize('value', [1, 2, 3]) def test_number_maximum(self, value, validator_factory): spec = { 'type': 'number', 'maximum': 3, } schema = SpecPath.from_spec(spec) result = validator_factory(schema).validate(value) assert result is None @pytest.mark.parametrize('value', [3, 4, 5]) def test_number_exclusive_maximum_invalid(self, value, validator_factory): spec = { 'type': 'number', 'maximum': 3, 'exclusiveMaximum': True, } schema = SpecPath.from_spec(spec) with pytest.raises(InvalidSchemaValue): validator_factory(schema).validate(value) @pytest.mark.parametrize('value', [0, 1, 2]) def test_number_exclusive_maximum(self, value, validator_factory): spec = { 'type': 'number', 'maximum': 3, 'exclusiveMaximum': True, } schema = SpecPath.from_spec(spec) result = validator_factory(schema).validate(value) assert result is None @pytest.mark.parametrize('value', [1, 2, 4]) def test_number_multiple_of_invalid(self, value, validator_factory): spec = { 'type': 'number', 'multipleOf': 3, } schema = SpecPath.from_spec(spec) with pytest.raises(InvalidSchemaValue): validator_factory(schema).validate(value) @pytest.mark.parametrize('value', [3, 6, 18]) def test_number_multiple_of(self, value, validator_factory): spec = { 'type': 'number', 'multipleOf': 3, } schema = SpecPath.from_spec(spec) result = validator_factory(schema).validate(value) assert result is None @pytest.mark.parametrize('value', [u('true'), b('test')]) def test_string(self, value, validator_factory): spec = { 'type': 'string', } schema = SpecPath.from_spec(spec) result = validator_factory(schema).validate(value) assert result is None @pytest.mark.parametrize('value', [False, 1, 3.14, [1, 3]]) def test_string_invalid(self, value, validator_factory): spec = { 'type': 'string', } schema = SpecPath.from_spec(spec) with pytest.raises(InvalidSchemaValue): validator_factory(schema).validate(value) @pytest.mark.parametrize('value', [ b('true'), u('test'), False, 1, 3.14, [1, 3], datetime.datetime(1989, 1, 2), ]) def test_string_format_date_invalid(self, value, validator_factory): spec = { 'type': 'string', 'format': 'date', } schema = SpecPath.from_spec(spec) with pytest.raises(InvalidSchemaValue): validator_factory(schema).validate(value) @pytest.mark.parametrize('value', [ u('1989-01-02'), u('2018-01-02'), ]) def test_string_format_date(self, value, validator_factory): spec = { 'type': 'string', 'format': 'date', } schema = SpecPath.from_spec(spec) result = validator_factory(schema).validate(value) assert result is None @pytest.mark.parametrize('value', [ u('12345678-1234-5678-1234-567812345678'), ]) def test_string_format_uuid(self, value, validator_factory): spec = { 'type': 'string', 'format': 'uuid', } schema = SpecPath.from_spec(spec) result = validator_factory(schema).validate(value) assert result is None @pytest.mark.parametrize('value', [ b('true'), u('true'), False, 1, 3.14, [1, 3], datetime.date(2018, 1, 2), datetime.datetime(2018, 1, 2, 23, 59, 59), ]) def test_string_format_uuid_invalid(self, value, validator_factory): spec = { 'type': 'string', 'format': 'uuid', } schema = SpecPath.from_spec(spec) with pytest.raises(InvalidSchemaValue): validator_factory(schema).validate(value) @pytest.mark.parametrize('value', [ b('true'), u('true'), False, 1, 3.14, [1, 3], u('1989-01-02'), ]) def test_string_format_datetime_invalid(self, value, validator_factory): spec = { 'type': 'string', 'format': 'date-time', } schema = SpecPath.from_spec(spec) with pytest.raises(InvalidSchemaValue): validator_factory(schema).validate(value) @pytest.mark.parametrize('value', [ u('1989-01-02T00:00:00Z'), u('2018-01-02T23:59:59Z'), ]) @mock.patch( 'openapi_schema_validator._format.' 'DATETIME_HAS_STRICT_RFC3339', True ) @mock.patch( 'openapi_schema_validator._format.' 'DATETIME_HAS_ISODATE', False ) def test_string_format_datetime_strict_rfc3339( self, value, validator_factory): spec = { 'type': 'string', 'format': 'date-time', } schema = SpecPath.from_spec(spec) result = validator_factory(schema).validate(value) assert result is None @pytest.mark.parametrize('value', [ u('1989-01-02T00:00:00Z'), u('2018-01-02T23:59:59Z'), ]) @mock.patch( 'openapi_schema_validator._format.' 'DATETIME_HAS_STRICT_RFC3339', False ) @mock.patch( 'openapi_schema_validator._format.' 'DATETIME_HAS_ISODATE', True ) def test_string_format_datetime_isodate(self, value, validator_factory): spec = { 'type': 'string', 'format': 'date-time', } schema = SpecPath.from_spec(spec) result = validator_factory(schema).validate(value) assert result is None @pytest.mark.parametrize('value', [ u('true'), False, 1, 3.14, [1, 3], u('1989-01-02'), u('1989-01-02T00:00:00Z'), ]) def test_string_format_binary_invalid(self, value, validator_factory): spec = { 'type': 'string', 'format': 'binary', } schema = SpecPath.from_spec(spec) with pytest.raises(InvalidSchemaValue): validator_factory(schema).validate(value) @pytest.mark.parametrize('value', [ b('stream'), b('text'), ]) def test_string_format_binary(self, value, validator_factory): spec = { 'type': 'string', 'format': 'binary', } schema = SpecPath.from_spec(spec) result = validator_factory(schema).validate(value) assert result is None @pytest.mark.parametrize('value', [ b('dGVzdA=='), u('dGVzdA=='), ]) def test_string_format_byte(self, value, validator_factory): spec = { 'type': 'string', 'format': 'byte', } schema = SpecPath.from_spec(spec) result = validator_factory(schema).validate(value) assert result is None @pytest.mark.parametrize('value', [ u('tsssst'), b('tsssst'), b('tesddddsdsdst'), ]) 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)