def test_a_combined_datasource_is_returned(self):
m1, m2 = datasource.DataSource(), datasource.DataSource()
with mock.patch('lizard_datasource.datasource.get_datasources',
return_value=[m1, m2]):
self.assertTrue(isinstance(
datasource.datasource(),
datasource.CombinedDataSource))
def __init__(self, *args, **kwargs):
super(FancyLayersAdapter, self).__init__(*args, **kwargs)
self.choices_made = datasource.ChoicesMade(
json=self.layer_arguments['choices_made'])
self.datasource = datasource.datasource(
choices_made=self.choices_made)
def get_datasource():
"""Return the datasource used for the timeseries."""
# The choices made are defined as a lizard-map setting.
choices_made_json = Setting.get("neerslagradar_datasource")
# Get the datasource
return datasource.datasource(
datasource.ChoicesMade(json=choices_made_json))
def get_datasource():
"""Return the datasource used for the timeseries."""
# The choices made are defined as a lizard-map setting.
choices_made_json = Setting.get("neerslagradar_datasource")
# Get the datasource
return datasource.datasource(
datasource.ChoicesMade(json=choices_made_json))
def datasource(self):
if not hasattr(self, '_datasource'):
self._datasource = datasource.datasource(self.choices_made)
return self._datasource
def test_combined_datasource_has_choices_made(self):
m1, m2 = datasource.DataSource(), datasource.DataSource()
with mock.patch('lizard_datasource.datasource.get_datasources',
return_value=[m1, m2]):
combined = datasource.datasource()
self.assertNotEquals(combined.get_choices_made(), None)
def test_if_there_is_one_datasource_it_is_returned(self):
m = object()
with mock.patch('lizard_datasource.datasource.get_datasources',
return_value=[m]):
self.assertTrue(datasource.datasource() is m)
def test_if_there_are_no_datasources_returns_none(self):
with mock.patch('lizard_datasource.datasource.get_datasources',
return_value=[]):
self.assertEquals(datasource.datasource(), None)
