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2664fa1896
git-svn-id: http://code.djangoproject.com/svn/django/trunk@16653 bcc190cf-cafb-0310-a4f2-bffc1f526a37
225 lines
7.4 KiB
Python
225 lines
7.4 KiB
Python
from __future__ import with_statement
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from django.forms import EmailField
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from django.test import SimpleTestCase, TestCase, skipUnlessDBFeature
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from django.utils.unittest import skip
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from models import Person
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class SkippingTestCase(TestCase):
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def test_skip_unless_db_feature(self):
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"A test that might be skipped is actually called."
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# Total hack, but it works, just want an attribute that's always true.
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@skipUnlessDBFeature("__class__")
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def test_func():
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raise ValueError
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self.assertRaises(ValueError, test_func)
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class AssertNumQueriesTests(TestCase):
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urls = 'regressiontests.test_utils.urls'
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def test_assert_num_queries(self):
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def test_func():
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raise ValueError
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self.assertRaises(ValueError,
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self.assertNumQueries, 2, test_func
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)
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def test_assert_num_queries_with_client(self):
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person = Person.objects.create(name='test')
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self.assertNumQueries(
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1,
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self.client.get,
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"/test_utils/get_person/%s/" % person.pk
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)
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self.assertNumQueries(
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1,
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self.client.get,
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"/test_utils/get_person/%s/" % person.pk
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)
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def test_func():
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self.client.get("/test_utils/get_person/%s/" % person.pk)
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self.client.get("/test_utils/get_person/%s/" % person.pk)
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self.assertNumQueries(2, test_func)
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class AssertNumQueriesContextManagerTests(TestCase):
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urls = 'regressiontests.test_utils.urls'
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def test_simple(self):
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with self.assertNumQueries(0):
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pass
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with self.assertNumQueries(1):
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Person.objects.count()
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with self.assertNumQueries(2):
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Person.objects.count()
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Person.objects.count()
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def test_failure(self):
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with self.assertRaises(AssertionError) as exc_info:
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with self.assertNumQueries(2):
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Person.objects.count()
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self.assertIn("1 queries executed, 2 expected", str(exc_info.exception))
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with self.assertRaises(TypeError):
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with self.assertNumQueries(4000):
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raise TypeError
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def test_with_client(self):
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person = Person.objects.create(name="test")
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with self.assertNumQueries(1):
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self.client.get("/test_utils/get_person/%s/" % person.pk)
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with self.assertNumQueries(1):
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self.client.get("/test_utils/get_person/%s/" % person.pk)
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with self.assertNumQueries(2):
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self.client.get("/test_utils/get_person/%s/" % person.pk)
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self.client.get("/test_utils/get_person/%s/" % person.pk)
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class SaveRestoreWarningState(TestCase):
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def test_save_restore_warnings_state(self):
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"""
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Ensure save_warnings_state/restore_warnings_state work correctly.
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"""
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# In reality this test could be satisfied by many broken implementations
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# of save_warnings_state/restore_warnings_state (e.g. just
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# warnings.resetwarnings()) , but it is difficult to test more.
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import warnings
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self.save_warnings_state()
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class MyWarning(Warning):
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pass
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# Add a filter that causes an exception to be thrown, so we can catch it
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warnings.simplefilter("error", MyWarning)
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self.assertRaises(Warning, lambda: warnings.warn("warn", MyWarning))
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# Now restore.
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self.restore_warnings_state()
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# After restoring, we shouldn't get an exception. But we don't want a
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# warning printed either, so we have to silence the warning.
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warnings.simplefilter("ignore", MyWarning)
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warnings.warn("warn", MyWarning)
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# Remove the filter we just added.
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self.restore_warnings_state()
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class SkippingExtraTests(TestCase):
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fixtures = ['should_not_be_loaded.json']
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# HACK: This depends on internals of our TestCase subclasses
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def __call__(self, result=None):
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# Detect fixture loading by counting SQL queries, should be zero
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with self.assertNumQueries(0):
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super(SkippingExtraTests, self).__call__(result)
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@skip("Fixture loading should not be performed for skipped tests.")
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def test_fixtures_are_skipped(self):
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pass
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class AssertRaisesMsgTest(SimpleTestCase):
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def test_special_re_chars(self):
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"""assertRaisesMessage shouldn't interpret RE special chars."""
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def func1():
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raise ValueError("[.*x+]y?")
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self.assertRaisesMessage(ValueError, "[.*x+]y?", func1)
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class AssertFieldOutputTests(SimpleTestCase):
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def test_assert_field_output(self):
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error_invalid = [u'Enter a valid e-mail address.']
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self.assertFieldOutput(EmailField, {'a@a.com': 'a@a.com'}, {'aaa': error_invalid})
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self.assertRaises(AssertionError, self.assertFieldOutput, EmailField, {'a@a.com': 'a@a.com'}, {'aaa': error_invalid + [u'Another error']})
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self.assertRaises(AssertionError, self.assertFieldOutput, EmailField, {'a@a.com': 'Wrong output'}, {'aaa': error_invalid})
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self.assertRaises(AssertionError, self.assertFieldOutput, EmailField, {'a@a.com': 'a@a.com'}, {'aaa': [u'Come on, gimme some well formatted data, dude.']})
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__test__ = {"API_TEST": r"""
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# Some checks of the doctest output normalizer.
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# Standard doctests do fairly
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>>> from django.utils import simplejson
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>>> from django.utils.xmlutils import SimplerXMLGenerator
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>>> from StringIO import StringIO
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>>> def produce_long():
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... return 42L
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>>> def produce_int():
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... return 42
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>>> def produce_json():
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... return simplejson.dumps(['foo', {'bar': ('baz', None, 1.0, 2), 'whiz': 42}])
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>>> def produce_xml():
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... stream = StringIO()
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... xml = SimplerXMLGenerator(stream, encoding='utf-8')
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... xml.startDocument()
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... xml.startElement("foo", {"aaa" : "1.0", "bbb": "2.0"})
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... xml.startElement("bar", {"ccc" : "3.0"})
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... xml.characters("Hello")
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... xml.endElement("bar")
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... xml.startElement("whiz", {})
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... xml.characters("Goodbye")
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... xml.endElement("whiz")
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... xml.endElement("foo")
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... xml.endDocument()
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... return stream.getvalue()
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>>> def produce_xml_fragment():
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... stream = StringIO()
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... xml = SimplerXMLGenerator(stream, encoding='utf-8')
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... xml.startElement("foo", {"aaa": "1.0", "bbb": "2.0"})
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... xml.characters("Hello")
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... xml.endElement("foo")
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... xml.startElement("bar", {"ccc": "3.0", "ddd": "4.0"})
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... xml.endElement("bar")
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... return stream.getvalue()
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# Long values are normalized and are comparable to normal integers ...
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>>> produce_long()
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42
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# ... and vice versa
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>>> produce_int()
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42L
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# JSON output is normalized for field order, so it doesn't matter
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# which order json dictionary attributes are listed in output
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>>> produce_json()
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'["foo", {"bar": ["baz", null, 1.0, 2], "whiz": 42}]'
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>>> produce_json()
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'["foo", {"whiz": 42, "bar": ["baz", null, 1.0, 2]}]'
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# XML output is normalized for attribute order, so it doesn't matter
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# which order XML element attributes are listed in output
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>>> produce_xml()
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'<?xml version="1.0" encoding="UTF-8"?>\n<foo aaa="1.0" bbb="2.0"><bar ccc="3.0">Hello</bar><whiz>Goodbye</whiz></foo>'
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>>> produce_xml()
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'<?xml version="1.0" encoding="UTF-8"?>\n<foo bbb="2.0" aaa="1.0"><bar ccc="3.0">Hello</bar><whiz>Goodbye</whiz></foo>'
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>>> produce_xml_fragment()
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'<foo aaa="1.0" bbb="2.0">Hello</foo><bar ccc="3.0" ddd="4.0"></bar>'
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>>> produce_xml_fragment()
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'<foo bbb="2.0" aaa="1.0">Hello</foo><bar ddd="4.0" ccc="3.0"></bar>'
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"""}
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