def test_single_branch_ancestry(self):
child_ancestry = ClassAncestry(child_cls_iri, self.schema_graph)
self.assertEquals(child_ancestry.bottom_up,
[child_cls_iri, b1p_cls_iri, b1gp_cls_iri])
self.assertEquals(child_ancestry.child, child_cls_iri)
self.assertEquals(child_ancestry.top_down,
[b1gp_cls_iri, b1p_cls_iri, child_cls_iri])
self.assertEquals(child_ancestry.parents(child_cls_iri), [b1p_cls_iri])
self.assertEquals(child_ancestry.parents(b1p_cls_iri), [b1gp_cls_iri])
self.assertEquals(child_ancestry.parents(b1gp_cls_iri), [])
def test_two_branch_ancestry_without_priority(self):
self.schema_graph.add(
(URIRef(child_cls_iri), RDFS.subClassOf, URIRef(b2p_cls_iri)))
self.schema_graph.add(
(URIRef(child_cls_iri), RDFS.subClassOf, URIRef(b2gp_cls_iri)))
child_ancestry = ClassAncestry(child_cls_iri, self.schema_graph)
self.assertEquals(child_ancestry.bottom_up[0], child_cls_iri)
self.assertEquals(set(child_ancestry.bottom_up[1:3]),
{b1p_cls_iri, b2p_cls_iri})
self.assertEquals(set(child_ancestry.bottom_up[3:]),
{b1gp_cls_iri, b2gp_cls_iri})
self.assertEquals(child_ancestry.child, child_cls_iri)
self.assertEquals(set(child_ancestry.parents(child_cls_iri)),
{b1p_cls_iri, b2p_cls_iri})
self.assertEquals(child_ancestry.parents(b1p_cls_iri), [b1gp_cls_iri])
self.assertEquals(child_ancestry.parents(b1gp_cls_iri), [])
self.assertEquals(child_ancestry.parents(b2p_cls_iri), [b2gp_cls_iri])
self.assertEquals(child_ancestry.parents(b2gp_cls_iri), [])
def test_three_branch_ancestry_with_priority(self):
child_ref = URIRef(child_cls_iri)
self.schema_graph.add(
(child_ref, RDFS.subClassOf, URIRef(b2p_cls_iri)))
self.schema_graph.add(
(child_ref, RDFS.subClassOf, URIRef(b2gp_cls_iri)))
self.schema_graph.add(
(child_ref, RDFS.subClassOf, URIRef(b3p_cls_iri)))
priority_b1 = BNode()
self.schema_graph.add(
(child_ref, URIRef(MODEL_HAS_PRIORITY_IRI), priority_b1))
self.schema_graph.add((priority_b1, URIRef(MODEL_PRIORITY_CLASS_IRI),
URIRef(b1p_cls_iri)))
self.schema_graph.add(
(priority_b1, URIRef(MODEL_PRIORITY_IRI), Literal(1)))
priority_b2 = BNode()
self.schema_graph.add(
(child_ref, URIRef(MODEL_HAS_PRIORITY_IRI), priority_b2))
self.schema_graph.add((priority_b2, URIRef(MODEL_PRIORITY_CLASS_IRI),
URIRef(b2p_cls_iri)))
self.schema_graph.add(
(priority_b2, URIRef(MODEL_PRIORITY_IRI), Literal(2)))
child_ancestry = ClassAncestry(child_cls_iri, self.schema_graph)
self.assertEquals(child_ancestry.bottom_up[0], child_cls_iri)
self.assertEquals(child_ancestry.bottom_up[1:3],
[b2p_cls_iri, b2gp_cls_iri])
self.assertEquals(child_ancestry.bottom_up[3:5],
[b1p_cls_iri, b1gp_cls_iri])
# b3p_cls_iri is the last because has no priority (nothing declared)
self.assertEquals(child_ancestry.bottom_up[-1], b3p_cls_iri)
self.assertEquals(child_ancestry.child, child_cls_iri)
self.assertEquals(child_ancestry.parents(child_cls_iri),
[b2p_cls_iri, b1p_cls_iri, b3p_cls_iri])
self.assertEquals(child_ancestry.parents(b1p_cls_iri), [b1gp_cls_iri])
self.assertEquals(child_ancestry.parents(b1gp_cls_iri), [])
self.assertEquals(child_ancestry.parents(b2p_cls_iri), [b2gp_cls_iri])
self.assertEquals(child_ancestry.parents(b2gp_cls_iri), [])
def create_model(self, class_name_or_iri, context_iri_or_payload, data_store, iri_prefix=None, iri_fragment=None,
iri_generator=None, untyped=False, incremental_iri=False, is_default=False,
context_file_path=None):
"""Creates a :class:`~oldman.model.Model` object.
TODO: remove data_store from the constructor!
To create it, they are three elements to consider:
1. Its class IRI which can be retrieved from `class_name_or_iri`;
2. Its JSON-LD context for mapping :class:`~oldman.attribute.OMAttribute` values to RDF triples;
3. The :class:`~oldman.iri.IriGenerator` object that generates IRIs from new
:class:`~oldman.resource.Resource` objects.
The :class:`~oldman.iri.IriGenerator` object is either:
* directly given: `iri_generator`;
* created from the parameters `iri_prefix`, `iri_fragment` and `incremental_iri`.
:param class_name_or_iri: IRI or JSON-LD term of a RDFS class.
:param context_iri_or_payload: `dict`, `list` or `IRI` that represents the JSON-LD context .
:param iri_generator: :class:`~oldman.iri.IriGenerator` object. If given, other `iri_*` parameters are
ignored.
:param iri_prefix: Prefix of generated IRIs. Defaults to `None`.
If is `None` and no `iri_generator` is given, a :class:`~oldman.iri.BlankNodeIriGenerator` is created.
:param iri_fragment: IRI fragment that is added at the end of generated IRIs. For instance, `"me"`
adds `"#me"` at the end of the new IRI. Defaults to `None`. Has no effect if `iri_prefix` is not given.
:param incremental_iri: If `True` an :class:`~oldman.iri.IncrementalIriGenerator` is created instead of a
:class:`~oldman.iri.RandomPrefixedIriGenerator`. Defaults to `False`.
Has no effect if `iri_prefix` is not given.
:param context_file_path: TODO: describe.
"""
# Only for the DefaultModel
if untyped:
class_iri = None
ancestry = ClassAncestry(class_iri, self._schema_graph)
om_attributes = {}
else:
context_file_path_or_payload = context_file_path if context_file_path is not None \
else context_iri_or_payload
class_iri = _extract_class_iri(class_name_or_iri, context_file_path_or_payload)
ancestry = ClassAncestry(class_iri, self._schema_graph)
om_attributes = self._attr_extractor.extract(class_iri, ancestry.bottom_up, context_file_path_or_payload,
self._schema_graph)
if iri_generator is not None:
id_generator = iri_generator
elif iri_prefix is not None:
if incremental_iri:
id_generator = IncrementalIriGenerator(iri_prefix, data_store,
class_iri, fragment=iri_fragment)
else:
id_generator = PrefixedUUIDIriGenerator(iri_prefix, fragment=iri_fragment)
else:
id_generator = BlankNodeIriGenerator()
operations = self._operation_extractor.extract(ancestry, self._schema_graph,
self._operation_functions)
model = Model(class_name_or_iri, class_iri, ancestry.bottom_up, context_iri_or_payload, om_attributes,
id_generator, operations=operations, local_context=context_file_path)
self._add_model(model, is_default=is_default)
# Reversed attributes awareness
if not self._include_reversed_attributes:
self._include_reversed_attributes = model.has_reversed_attributes
# Anonymous classes derived from hydra:Link properties
self._create_anonymous_models(model, context_file_path, data_store)
return model
