Thanks for the enlightenment - seems I had some misconceptions about
how validators work. Based on this misconceptions I designed some tests
which somehow worked but not as I liked - hence my posting. My crude
first cut was like this:
# ripped out of django/db/models/base.py
def validate(instance):
error_dict = {}
invalid_python = {}
for f in instance._meta.fields:
try:
setattr(instance, f.attname, f.to_python(getattr(instance,
f.attname, f.get_default())))
except ValidationError, e:
error_dict[f.name] = e.messages
invalid_python[f.name] = 1
for f in instance._meta.fields:
if f.name in invalid_python:
continue
errors = f.validate_full(getattr(instance, f.attname,
f.get_default()), instance.__dict__)
for v in f.validator_list:
try:
v(getattr(instance, f.attname, f.get_default()),
instance.__dict__)
except ValidationError, e:
errors = e.messages
if errors:
error_dict[f.name] = errors
return error_dict
class TestSanityChecks(unittest.TestCase):
def test_saneweight(self):
product = Product.objects.create(artnr='40003', name='Test',
package_weight='320', ve1_weight='232')
errors = validate(product)
self.assertEqual(errors['ve1_weight'], ['Das VE1 Gewicht darf
nicht kleiner als das Produktpaketgewicht sein.'])
This worked to a certain degree but resulted in all find of odd effects
because the 'data string and all_data dictionary' the validators where
seeing different data when being called this way than when they would
be called by a form validator.
Now I'll try to rework this into something more realistic based on
Malcom's comments
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