def _get_embedded_model_names(self, model, error, instance, success):
"""Get the names of the embedded instance models."""
# Make a copy without the top level model
# This is important in the case of a model that can embed
# itself
new_instance = instance.copy()
del new_instance['_model']
# Get all the model names used
embedded_model_names = set()
parse_instance(new_instance, embedded_model_names)
# Skip any that we have in memory already
if self.embedded_models:
embedded_model_names = embedded_model_names - set(
self.embedded_models.keys())
# If we have them all, move along.
if not embedded_model_names:
return success(
model=model,
embedded_models=None)
return self._get_embedded_models(model,
instance,
success,
embedded_model_names)
def test_parse_complex_instance(self):
"""Complex instance has embedded models."""
# Setup the instance:
instance = TEST_ARTICLE.copy()
# We don't want the top level model:
del instance['_model']
# Store the results in results:
results = set()
# Parse the instance
parse_instance(instance, results)
# Test Result
self.assertEqual(results, set(['comment', 'author']))
def test_parse_simple_instance(self):
"""Simple instance has no embedded models."""
# Setup the instance:
instance = TEST_ARTICLE['author'].copy()
# We don't want the top level model:
del instance['_model']
# Store the results in results:
results = set()
# Parse the instance
parse_instance(instance, results)
# Result should be an empty set
self.assertFalse(results)
def test_parse_complex_instance(self):
"""Complex instance has embedded models."""
# Setup the instance:
instance = TEST_ARTICLE.copy()
# We don't want the top level model:
del instance["_model"]
# Store the results in results:
results = set()
# Parse the instance
parse_instance(instance, results)
# Test Result
self.assertEqual(results, set(["comment", "author"]))
def test_parse_simple_instance(self):
"""Simple instance has no embedded models."""
# Setup the instance:
instance = TEST_ARTICLE["author"].copy()
# We don't want the top level model:
del instance["_model"]
# Store the results in results:
results = set()
# Parse the instance
parse_instance(instance, results)
# Result should be an empty set
self.assertFalse(results)
