2009-04-04 04:52:54 +08:00
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from django.conf import settings
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2009-04-02 12:32:48 +08:00
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from django.db import connection
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from django.test import TestCase
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from django.utils import functional
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from models import Reporter, Article
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#
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# The introspection module is optional, so methods tested here might raise
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# NotImplementedError. This is perfectly acceptable behavior for the backend
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# in question, but the tests need to handle this without failing. Ideally we'd
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# skip these tests, but until #4788 is done we'll just ignore them.
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#
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# The easiest way to accomplish this is to decorate every test case with a
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# wrapper that ignores the exception.
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#
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# The metaclass is just for fun.
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#
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def ignore_not_implemented(func):
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def _inner(*args, **kwargs):
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try:
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return func(*args, **kwargs)
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except NotImplementedError:
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return None
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functional.update_wrapper(_inner, func)
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return _inner
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class IgnoreNotimplementedError(type):
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def __new__(cls, name, bases, attrs):
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for k,v in attrs.items():
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if k.startswith('test'):
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attrs[k] = ignore_not_implemented(v)
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return type.__new__(cls, name, bases, attrs)
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class IntrospectionTests(TestCase):
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__metaclass__ = IgnoreNotimplementedError
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def test_table_names(self):
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tl = connection.introspection.table_names()
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self.assert_(Reporter._meta.db_table in tl,
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"'%s' isn't in table_list()." % Reporter._meta.db_table)
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self.assert_(Article._meta.db_table in tl,
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"'%s' isn't in table_list()." % Article._meta.db_table)
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def test_django_table_names(self):
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cursor = connection.cursor()
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2009-04-04 04:52:54 +08:00
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cursor.execute('CREATE TABLE django_introspection_test_table (id INTEGER);');
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2009-04-02 12:32:48 +08:00
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tl = connection.introspection.django_table_names()
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2009-04-04 04:52:54 +08:00
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cursor.execute("DROP TABLE django_introspection_test_table;")
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2009-04-02 12:32:48 +08:00
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self.assert_('django_introspection_testcase_table' not in tl,
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"django_table_names() returned a non-Django table")
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def test_installed_models(self):
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tables = [Article._meta.db_table, Reporter._meta.db_table]
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models = connection.introspection.installed_models(tables)
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self.assertEqual(models, set([Article, Reporter]))
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def test_sequence_list(self):
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sequences = connection.introspection.sequence_list()
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expected = {'table': Reporter._meta.db_table, 'column': 'id'}
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self.assert_(expected in sequences,
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'Reporter sequence not found in sequence_list()')
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def test_get_table_description_names(self):
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cursor = connection.cursor()
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desc = connection.introspection.get_table_description(cursor, Reporter._meta.db_table)
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self.assertEqual([r[0] for r in desc],
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[f.column for f in Reporter._meta.fields])
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def test_get_table_description_types(self):
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2009-04-04 04:52:54 +08:00
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cursor = connection.cursor()
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2009-04-02 12:32:48 +08:00
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desc = connection.introspection.get_table_description(cursor, Reporter._meta.db_table)
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self.assertEqual([datatype(r[1]) for r in desc],
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['IntegerField', 'CharField', 'CharField', 'CharField'])
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2009-04-04 04:52:54 +08:00
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# Regression test for #9991 - 'real' types in postgres
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if settings.DATABASE_ENGINE.startswith('postgresql'):
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def test_postgresql_real_type(self):
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cursor = connection.cursor()
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cursor.execute("CREATE TABLE django_introspection_real_test_table (number REAL);")
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desc = connection.introspection.get_table_description(cursor, 'django_introspection_real_test_table')
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cursor.execute('DROP TABLE django_introspection_real_test_table;')
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self.assertEqual(datatype(desc[0][1]), 'FloatField')
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2009-04-02 12:32:48 +08:00
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def test_get_relations(self):
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cursor = connection.cursor()
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relations = connection.introspection.get_relations(cursor, Article._meta.db_table)
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# Older versions of MySQL don't have the chops to report on this stuff,
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# so just skip it if no relations come back. If they do, though, we
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# should test that the response is correct.
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if relations:
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# That's {field_index: (field_index_other_table, other_table)}
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self.assertEqual(relations, {3: (0, Reporter._meta.db_table)})
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def test_get_indexes(self):
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cursor = connection.cursor()
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indexes = connection.introspection.get_indexes(cursor, Article._meta.db_table)
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2009-04-04 04:52:54 +08:00
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self.assertEqual(indexes['reporter_id'], {'unique': False, 'primary_key': False})
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def datatype(dbtype):
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"""Helper to convert a data type into a string."""
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dt = connection.introspection.data_types_reverse[dbtype]
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if type(dt) is tuple:
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return dt[0]
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else:
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return dt
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