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Direktori : /opt/alt/python38/lib/python3.8/site-packages/cerberus/tests/ |
Current File : //opt/alt/python38/lib/python3.8/site-packages/cerberus/tests/test_assorted.py |
# -*- coding: utf-8 -*- from decimal import Decimal from pkg_resources import Distribution, DistributionNotFound from pytest import mark from cerberus import TypeDefinition, Validator from cerberus.tests import assert_fail, assert_success from cerberus.utils import validator_factory from cerberus.validator import BareValidator from cerberus.platform import PYTHON_VERSION if PYTHON_VERSION > 3 and PYTHON_VERSION < 3.4: from imp import reload elif PYTHON_VERSION >= 3.4: from importlib import reload else: pass # Python 2.x def test_pkgresources_version(monkeypatch): def create_fake_distribution(name): return Distribution(project_name="cerberus", version="1.2.3") with monkeypatch.context() as m: cerberus = __import__("cerberus") m.setattr("pkg_resources.get_distribution", create_fake_distribution) reload(cerberus) assert cerberus.__version__ == "1.2.3" def test_version_not_found(monkeypatch): def raise_distribution_not_found(name): raise DistributionNotFound("pkg_resources cannot get distribution") with monkeypatch.context() as m: cerberus = __import__("cerberus") m.setattr("pkg_resources.get_distribution", raise_distribution_not_found) reload(cerberus) assert cerberus.__version__ == "unknown" def test_clear_cache(validator): assert len(validator._valid_schemas) > 0 validator.clear_caches() assert len(validator._valid_schemas) == 0 def test_docstring(validator): assert validator.__doc__ # Test that testing with the sample schema works as expected # as there might be rules with side-effects in it @mark.parametrize( "test,document", ((assert_fail, {"an_integer": 60}), (assert_success, {"an_integer": 110})), ) def test_that_test_fails(test, document): try: test(document) except AssertionError: pass else: raise AssertionError("test didn't fail") def test_dynamic_types(): decimal_type = TypeDefinition("decimal", (Decimal,), ()) document = {"measurement": Decimal(0)} schema = {"measurement": {"type": "decimal"}} validator = Validator() validator.types_mapping["decimal"] = decimal_type assert_success(document, schema, validator) class MyValidator(Validator): types_mapping = Validator.types_mapping.copy() types_mapping["decimal"] = decimal_type validator = MyValidator() assert_success(document, schema, validator) def test_mro(): assert Validator.__mro__ == (Validator, BareValidator, object), Validator.__mro__ def test_mixin_init(): class Mixin(object): def __init__(self, *args, **kwargs): kwargs["test"] = True super(Mixin, self).__init__(*args, **kwargs) MyValidator = validator_factory("MyValidator", Mixin) validator = MyValidator() assert validator._config["test"] def test_sub_init(): class MyValidator(Validator): def __init__(self, *args, **kwargs): kwargs["test"] = True super(MyValidator, self).__init__(*args, **kwargs) validator = MyValidator() assert validator._config["test"]