def test(self):
generate_model(TestModelX, 5)
self.assertEqual(len(TestModelX.objects.all()), 5)
generate_model(TestModelY, 95)
generated_models = list(TestModelY.objects.all())
length = len(generated_models)
self.assertEqual(len(TestModelX.objects.all()) * 18, length)
generate_model(TestModelA, 7)
self.assertEqual(len(TestModelA.objects.all()), 6)
generate_model(TestModelB, 17)
self.assertEqual(len(TestModelB.objects.all()), 12)
generate_model(TestModelC, 53)
self.assertEqual(len(TestModelC.objects.all()), 12)
for model in generated_models:
self.assertTrue(isinstance(model, TestModelY))
self.assertTrue(model.field1Y in [2, 3, 5, 7, 11, 13])
self.assertTrue(model.field2Y in ['MMa', 'XXa', 'azz'])
self.assertTrue(model.field3Y in TestModelX.objects.all())
to_be_computed_test = generate_model(TestModelFieldsTwo, 50)
self.assertTrue(to_be_computed_test)
self.assertEqual(TestModelFieldsTwo, to_be_computed_test[0])
self.assertTrue(to_be_computed_test[1])
for fld in to_be_computed_test[1]:
self.assertTrue(is_related(fld)
and 'ManyToMany' in relation_type(fld))
self.assertEqual(fld.rel.to, TestModelE)
generate_model(TestModelE, 2, shuffle=False)[0]
generated_models = list(TestModelE.objects.all())
for model in generated_models:
self.assertTrue(isinstance(model, TestModelE))
self.assertTrue(model.field4E in [1000000009, 1000003, 101])
self.assertTrue(model.field1E in TestModelB.objects.all())
self.assertTrue(all([x in TestModelA.objects.all()
for x in model.field2E.all()]))
self.assertTrue(model.field3E in TestModelC.objects.all())
def test(self):
self.assertTrue(is_related(models.ForeignKey))
self.assertTrue(is_related(models.OneToOneField))
self.assertTrue(is_related(models.ManyToManyField))
self.assertFalse(is_related(models.CharField))
self.assertFalse(is_related(models.BooleanField))
self.assertFalse(is_related(models.EmailField))
self.assertFalse(is_related(models.IntegerField))
def test(self):
generate_test_data('tests.models', 10)
length = len(list_of_models(mdls))
visited = dict(zip(list_of_models(mdls), length * [False]))
pairs = []
data_base = dict([(mdl, list(mdl.objects.all()))
for mdl in list_of_models(mdls)])
generated_data = data_base.values()
nodes = 0
edges = 0
for list_model in generated_data:
for model in list_model:
visited[model.__class__] = True
fields = list_of_fields(model.__class__)
nodes += 1
for field in fields:
if (not is_auto_field(field) and
not is_reverse_related(field)):
val = getattr(model, field.name)
if is_related(field):
if 'ManyToMany' in relation_type(field):
r = data_base[field.rel.to]
self.assertTrue(list(val.all()))
self.assertTrue(all([x in r for
x in list(val.all())]))
else:
r = data_base[field.rel.to]
self.assertTrue(val in r)
edges += 1
else:
this_model = field.model
while (this_model != Model and not
(hasattr(this_model, 'TestData') and
hasattr(this_model.TestData, field.name))
and not os.path.exists(
'%s/TestTemplates/sample__%s__%s' %
(this_model._meta.app_label,
this_model.__name__, field.name))):
this_model = this_model.__base__
if this_model == Model:
self.assertEqual(model.__class__,
AllFieldsModel)
sample_values = field_sample_values(field)
if val.__class__ == unicode:
val = str(val)
self.assertTrue(val.__class__ in
map(lambda val: val.__class__,
sample_values))
elif (field.__class__.__name__ == 'DecimalField' or
field.__class__.__name__ == 'FloatField'):
sample_values = map(float,
field_sample_values(field))
val = float(val)
self.assertTrue(any(abs(val - fld_value) < 1e-5
for fld_value in
sample_values))
else:
sample_values = map(str,
field_sample_values(field))
val = str(val)
self.assertTrue(val in sample_values)
if model.__class__ == TestModelFields:
pr = (model.fieldC, model.fieldA)
self.assertFalse(pr in pairs)
pairs.append(pr)
self.assertTrue((model.fieldB < 50)
or (model.fieldD / 2 % 2 == 1))
self.assertTrue(all(visited.values()),
"Not all the models with sample data are generated.")