def test__11_model_creation_with_devices(self):
"""
Test the creation of a models file with DeviceClasses.
The models are used for further tests
"""
vocabulary = VocabularyConfigurator.create_vocabulary(
VocabularySettings(pascal_case_class_labels=False,
pascal_case_individual_labels=False,
camel_case_property_labels=False,
camel_case_datatype_labels=False,
pascal_case_datatype_enum_labels=False))
vocabulary = \
VocabularyConfigurator.add_ontology_to_vocabulary_as_file(
vocabulary=vocabulary,
path_to_file=self.get_file_path(
'ontology_files/ParsingTesterOntology.ttl'))
vocabulary.get_data_property(
"http://www.semanticweb.org/redin/ontologies/2020/11/untitled"
"-ontology-25#commandProp").field_type = DataFieldType.command
vocabulary.get_data_property(
"http://www.semanticweb.org/redin/ontologies/2020/11/untitled"
"-ontology-25#attributeProp").field_type = \
DataFieldType.device_attribute
VocabularyConfigurator.generate_vocabulary_models(
vocabulary, f"{self.get_file_path('')}/", "models2")
def test_1_model_creation(self):
"""
Build the model used by all other tests
"""
vocabulary = VocabularyConfigurator.create_vocabulary(
VocabularySettings(pascal_case_class_labels=False,
pascal_case_individual_labels=False,
camel_case_property_labels=False,
camel_case_datatype_labels=False,
pascal_case_datatype_enum_labels=False))
vocabulary = \
VocabularyConfigurator.add_ontology_to_vocabulary_as_file(
vocabulary=vocabulary,
path_to_file=self.get_file_path(
'ontology_files/ParsingTesterOntology.ttl'))
# Test part can only be executed locally, as the gitlab runner can´t
# access the WWW
vocabulary = \
VocabularyConfigurator.add_ontology_to_vocabulary_as_link(
vocabulary=vocabulary,
link="https://ontology.tno.nl/saref.ttl")
self.assertEqual(vocabulary.get_source_list()[1].source_name,
"saref.ttl")
self.assertTrue(
"https://w3id.org/saref#LightingDevice" in vocabulary.classes)
VocabularyConfigurator.generate_vocabulary_models(
vocabulary, f"{self.get_file_path('')}/", "models")
def test_valid_test(self):
self.assertEqual(
VocabularyConfigurator.is_vocabulary_valid(self.vocabulary_2),
False)
self.assertEqual(
VocabularyConfigurator.is_vocabulary_valid(self.vocabulary_1),
True)
self.assertEqual(
VocabularyConfigurator.is_vocabulary_valid(self.vocabulary_3),
True)
def setUp(self) -> None:
# Build vocabularies
vocabulary = VocabularyConfigurator.create_vocabulary(
VocabularySettings(pascal_case_class_labels=False,
pascal_case_individual_labels=False,
camel_case_property_labels=False,
camel_case_datatype_labels=False,
pascal_case_datatype_enum_labels=False))
vocabulary_1 = \
VocabularyConfigurator.add_ontology_to_vocabulary_as_file(
vocabulary=vocabulary,
path_to_file=self.get_file_path(
'ontology_files/RoomFloorOntology.ttl'))
with open(self.get_file_path(
'ontology_files/RoomFloor_Duplicate_Labels.ttl'), 'r') \
as file:
data = file.read()
vocabulary_2 = \
VocabularyConfigurator.add_ontology_to_vocabulary_as_string(
vocabulary=vocabulary_1,
source_name='RoomFloorOntology_Duplicate_Labels',
source_content=data
)
vocabulary_3 = \
VocabularyConfigurator.add_ontology_to_vocabulary_as_file(
vocabulary=vocabulary,
path_to_file=self.get_file_path(
'ontology_files/RoomFloorOntology.ttl'),
source_name='test_name'
)
vocabulary_3 = \
VocabularyConfigurator.add_ontology_to_vocabulary_as_file(
vocabulary=vocabulary_3,
path_to_file=self.get_file_path(
'ontology_files/ParsingTesterOntology.ttl')
)
self.vocabulary = vocabulary
self.vocabulary_1 = vocabulary_1
self.vocabulary_2 = vocabulary_2
self.vocabulary_3 = vocabulary_3
def _save_initial_label_summary(cls, vocabulary: Vocabulary):
"""
Save the label_summary existing after parsing, before the user
changed labels
Args:
vocabulary: vocabulary of which the label summary should be saved
Returns:
None
"""
from filip.semantics.vocabulary_configurator import \
VocabularyConfigurator
vocabulary.original_label_summary = \
VocabularyConfigurator.get_label_conflicts_in_vocabulary(
vocabulary=vocabulary)
def test_vocabulary_composition(self):
"""
Test for fiware header
"""
# makes lines a bit shorter and more readable
vocabulary = self.vocabulary
vocabulary_1 = self.vocabulary_1
vocabulary_2 = self.vocabulary_2
vocabulary_3 = self.vocabulary_3
# test number of sources; each vocabulary has one PREDEFINED source
self.assertEqual(len(vocabulary_1.sources), 2)
self.assertEqual(len(vocabulary_2.sources), 3)
self.assertEqual(len(vocabulary_3.sources), 3)
# test source names
self.assertIn('RoomFloorOntology',
[n.source_name for n in vocabulary_1.sources.values()])
self.assertIn('RoomFloorOntology',
[n.source_name for n in vocabulary_2.sources.values()])
self.assertIn('RoomFloorOntology_Duplicate_Labels',
[n.source_name for n in vocabulary_2.sources.values()])
self.assertIn('test_name',
[n.source_name for n in vocabulary_3.sources.values()])
# test content of vocabulary
self.assertEqual(len(vocabulary_2.classes), 10)
self.assertEqual(len(vocabulary_3.classes), 18)
# test deletion of source
source_id = [
s.id for s in vocabulary_3.sources.values()
if s.source_name == "test_name"
][0]
vocabulary_4 = VocabularyConfigurator.delete_source_from_vocabulary(
vocabulary=vocabulary_3, source_id=source_id)
self.assertIn('test_name',
[n.source_name for n in vocabulary_3.sources.values()])
self.assertNotIn(
'test_name',
[n.source_name for n in vocabulary_4.sources.values()])
def test_build_models(self):
if not VocabularyConfigurator.is_vocabulary_valid(self.vocabulary_1):
raise Exception
# CombinedRelation (CombinedObject- or CombinedDataRelation depending on
# the property type)
#
# A vocabulary can also contain Individuals. An individual is an
# immutable instance of a class without values. It can be regarded as a
# type of enum value.
# ## 1.1 To automatically adapt the label of the entities in the ontology we
# can pass some settings to our vocabulary:
settings = VocabularySettings(pascal_case_class_labels=True,
pascal_case_individual_labels=True,
camel_case_property_labels=True,
camel_case_datatype_labels=True,
pascal_case_datatype_enum_labels=True)
# We create our new blank vocabulary:
vocabulary = VocabularyConfigurator.create_vocabulary(settings=settings)
# # 2 Adding ontologies
#
# We now add the wanted ontologies to our vocabulary.
# The ontologies can be inserted via a file, a weblink or as content string.
# The ontologies need to be Turtle encoded
# We always get a new vocabulary object returned
# ### 2.0.1 as file
vocabulary = \
VocabularyConfigurator.add_ontology_to_vocabulary_as_file(
vocabulary=vocabulary,
path_to_file='ontology_files/building circuits.owl')
# ### 2.0.2 as string