def test_ignore_missing_with_value_missing(self):
'''ignore_missing() should raise StopOnError if:
- data[key] is None, or
- data[key] is dictization_functions.missing, or
- key is not in data
'''
import ckan.lib.navl.dictization_functions as df
import ckan.lib.navl.validators as validators
for value in (None, df.missing, 'skip'):
# This is the key for the value that is going to be validated.
key = ('key to be validated', )
# The data to pass to the validator function for validation.
data = factories.validator_data_dict()
if value != 'skip':
data[key] = value
# The errors dict to pass to the validator function.
errors = factories.validator_errors_dict()
errors[key] = []
@does_not_modify_other_keys_in_data_dict
@does_not_modify_errors_dict
@removes_key_from_data_dict
@raises_StopOnError
def call_validator(*args, **kwargs):
return validators.ignore_missing(*args, **kwargs)
call_validator(key=key, data=data, errors=errors, context={})
def test_ignore_missing_with_value_missing(self):
'''ignore_missing() should raise StopOnError if:
- data[key] is None, or
- data[key] is dictization_functions.missing, or
- key is not in data
'''
import ckan.lib.navl.dictization_functions as df
import ckan.lib.navl.validators as validators
for value in (None, df.missing, 'skip'):
# This is the key for the value that is going to be validated.
key = ('key to be validated',)
# The data to pass to the validator function for validation.
data = factories.validator_data_dict()
if value != 'skip':
data[key] = value
# The errors dict to pass to the validator function.
errors = factories.validator_errors_dict()
errors[key] = []
@does_not_modify_other_keys_in_data_dict
@does_not_modify_errors_dict
@removes_key_from_data_dict
@raises_StopOnError
def call_validator(*args, **kwargs):
return validators.ignore_missing(*args, **kwargs)
call_validator(key=key, data=data, errors=errors, context={})
def test_ignore_missing_with_a_value(self):
'''If data[key] is neither None or missing, ignore_missing() should do
nothing.
'''
key = ('key to be validated', )
data = factories.validator_data_dict()
data[key] = 'value to be validated'
errors = factories.validator_errors_dict()
errors[key] = []
@returns_None
@does_not_modify_data_dict
@does_not_modify_errors_dict
def call_validator(*args, **kwargs):
return validators.ignore_missing(*args, **kwargs)
call_validator(key=key, data=data, errors=errors, context={})
def test_datasets_with_no_org_cannot_be_private_when_creating(self):
data = factories.validator_data_dict()
errors = factories.validator_errors_dict()
key = ('private',)
data[key] = True
errors[key] = []
# Mock ckan.model.
mock_model = mock.MagicMock()
@t.does_not_modify_data_dict
@adds_message_to_errors_dict(
"Datasets with no organization can't be private.")
def call_validator(*args, **kwargs):
return validators.datasets_with_no_organization_cannot_be_private(
*args, **kwargs)
call_validator(key, data, errors, context={'model': mock_model})
def test_datasets_with_no_org_cannot_be_private_when_creating(self):
data = factories.validator_data_dict()
errors = factories.validator_errors_dict()
key = ('private', )
data[key] = True
errors[key] = []
# Mock ckan.model.
mock_model = mock.MagicMock()
@t.does_not_modify_data_dict
@adds_message_to_errors_dict(
"Datasets with no organization can't be private.")
def call_validator(*args, **kwargs):
return validators.datasets_with_no_organization_cannot_be_private(
*args, **kwargs)
call_validator(key, data, errors, context={'model': mock_model})
def test_ignore_missing_with_a_value(self):
'''If data[key] is neither None or missing, ignore_missing() should do
nothing.
'''
import ckan.lib.navl.validators as validators
key = ('key to be validated',)
data = factories.validator_data_dict()
data[key] = 'value to be validated'
errors = factories.validator_errors_dict()
errors[key] = []
@returns_None
@does_not_modify_data_dict
@does_not_modify_errors_dict
def call_validator(*args, **kwargs):
return validators.ignore_missing(*args, **kwargs)
call_validator(key=key, data=data, errors=errors, context={})
def test_datasets_with_org_can_be_private_when_creating(self):
data = factories.validator_data_dict()
errors = factories.validator_errors_dict()
key = ('private',)
data[key] = True
errors[key] = []
data[('owner_org',)] = 'some_org_id'
# Mock ckan.model.
mock_model = mock.MagicMock()
@t.does_not_modify_errors_dict
@t.does_not_modify_data_dict
@t.returns_None
def call_validator(*args, **kwargs):
return validators.datasets_with_no_organization_cannot_be_private(
*args, **kwargs)
call_validator(key, data, errors, context={'model': mock_model})
def test_user_name_validator_successful(self):
'''user_name_validator() should do nothing if given a valid name.'''
data = factories.validator_data_dict()
key = ('name',)
data[key] = 'new_user_name'
errors = factories.validator_errors_dict()
errors[key] = []
# Mock ckan.model.
mock_model = mock.MagicMock()
# model.User.get(user_name) should return None, to simulate that no
# user with that name exists in the database.
mock_model.User.get.return_value = None
@t.does_not_modify_errors_dict
@t.does_not_modify_data_dict
@t.returns_None
def call_validator(*args, **kwargs):
return validators.user_name_validator(*args, **kwargs)
call_validator(key, data, errors, context={'model': mock_model})
def test_datasets_with_org_can_be_private_when_creating(self):
data = factories.validator_data_dict()
errors = factories.validator_errors_dict()
key = ('private',)
data[key] = True
errors[key] = []
data[('owner_org',)] = 'some_org_id'
# Mock ckan.model.
mock_model = mock.MagicMock()
@t.does_not_modify_errors_dict
@t.does_not_modify_data_dict
@t.returns_None
def call_validator(*args, **kwargs):
return validators.datasets_with_no_organization_cannot_be_private(
*args, **kwargs)
call_validator(key, data, errors, context={'model': mock_model})
def test_user_name_validator_successful(self):
'''user_name_validator() should do nothing if given a valid name.'''
data = factories.validator_data_dict()
key = ('name',)
data[key] = 'new_user_name'
errors = factories.validator_errors_dict()
errors[key] = []
# Mock ckan.model.
mock_model = mock.MagicMock()
# model.User.get(user_name) should return None, to simulate that no
# user with that name exists in the database.
mock_model.User.get.return_value = None
@t.does_not_modify_errors_dict
@t.does_not_modify_data_dict
@t.returns_None
def call_validator(*args, **kwargs):
return validators.user_name_validator(*args, **kwargs)
call_validator(key, data, errors, context={'model': mock_model})
def test_user_name_validator_with_non_string_value(self):
'''user_name_validator() should raise Invalid if given a non-string
value.
'''
non_string_values = [
13,
23.7,
100L,
1.0j,
None,
True,
False,
('a', 2, False),
[13, None, True],
{
'foo': 'bar'
},
lambda x: x**2,
]
# Mock ckan.model.
mock_model = mock.MagicMock()
# model.User.get(some_user_id) needs to return None for this test.
mock_model.User.get.return_value = None
key = ('name', )
for non_string_value in non_string_values:
data = factories.validator_data_dict()
data[key] = non_string_value
errors = factories.validator_errors_dict()
errors[key] = []
@t.does_not_modify_data_dict
@raises_Invalid
def call_validator(*args, **kwargs):
return validators.user_name_validator(*args, **kwargs)
call_validator(key, data, errors, context={'model': mock_model})
def test_datasets_with_org_can_be_private_when_updating():
data = factories.validator_data_dict()
errors = factories.validator_errors_dict()
key = ("private", )
data[key] = True
errors[key] = []
data[("id", )] = "some_dataset_id"
data[("owner_org", )] = "some_org_id"
# Mock ckan.model.
mock_model = mock.MagicMock()
@t.does_not_modify_errors_dict
@t.does_not_modify_data_dict
@t.returns_None
def call_validator(*args, **kwargs):
return validators.datasets_with_no_organization_cannot_be_private(
*args, **kwargs)
call_validator(key, data, errors, context={"model": mock_model})
def test_user_name_validator_with_a_name_that_already_exists(self):
'''user_name_validator() should add to the errors dict if given a
user name that already exists.
'''
# Mock ckan.model. model.User.get('user_name') will return another mock
# object rather than None, which will simulate an existing user with
# the same user name in the database.
mock_model = mock.MagicMock()
data = factories.validator_data_dict()
key = ('name',)
data[key] = 'user_name'
errors = factories.validator_errors_dict()
errors[key] = []
@does_not_modify_other_keys_in_errors_dict
@t.does_not_modify_data_dict
@t.returns_None
@adds_message_to_errors_dict('That login name is not available.')
def call_validator(*args, **kwargs):
return validators.user_name_validator(*args, **kwargs)
call_validator(key, data, errors, context={'model': mock_model})
def test_user_name_validator_with_a_name_that_already_exists(self):
'''user_name_validator() should add to the errors dict if given a
user name that already exists.
'''
# Mock ckan.model. model.User.get('user_name') will return another mock
# object rather than None, which will simulate an existing user with
# the same user name in the database.
mock_model = mock.MagicMock()
data = factories.validator_data_dict()
key = ('name',)
data[key] = 'user_name'
errors = factories.validator_errors_dict()
errors[key] = []
@does_not_modify_other_keys_in_errors_dict
@t.does_not_modify_data_dict
@t.returns_None
@adds_message_to_errors_dict('That login name is not available.')
def call_validator(*args, **kwargs):
return validators.user_name_validator(*args, **kwargs)
call_validator(key, data, errors, context={'model': mock_model})
def test_user_name_validator_with_non_string_value(self):
'''user_name_validator() should raise Invalid if given a non-string
value.
'''
non_string_values = [
13,
23.7,
100L,
1.0j,
None,
True,
False,
('a', 2, False),
[13, None, True],
{'foo': 'bar'},
lambda x: x ** 2,
]
# Mock ckan.model.
mock_model = mock.MagicMock()
# model.User.get(some_user_id) needs to return None for this test.
mock_model.User.get.return_value = None
key = ('name',)
for non_string_value in non_string_values:
data = factories.validator_data_dict()
data[key] = non_string_value
errors = factories.validator_errors_dict()
errors[key] = []
@t.does_not_modify_data_dict
@raises_Invalid
def call_validator(*args, **kwargs):
return validators.user_name_validator(*args, **kwargs)
call_validator(key, data, errors, context={'model': mock_model})