def get_organization(self, pattern):
organization = None
if pattern is not None:
if "HBP-SP" in pattern:
address = Address(locality='HBP', country='Europe')
organization = Organization(pattern, address, None)
elif pattern == "Blue Brain Project":
address = Address(locality='Geneva', country='Switzerland')
organization = Organization("Blue Brain Project", address,
None)
elif pattern == "Allen Institute":
address = Address(locality='Seattle', country='United States')
organization = Organization("Allen Institute", address, None)
elif pattern in ("KTH-UNIC", "KOKI-UNIC"):
address = Address(locality='HBP', country='Europe')
organization = Organization("HBP-SP6", address, None)
elif pattern == "Destexhe Lab":
address = Address(locality='Gif-sur-Yvette', country='France')
organization = Organization("CNRS", address, None)
elif pattern in ("<<empty>>", "Other"):
organization = None
else:
raise ValueError(
"Can't handle this pattern: {}".format(pattern))
return organization
def add_organizations_in_KG_database(self):
address = Address(locality='HBP', country='Europe')
for sp_num in range(1, 13):
org = Organization("HBP-SP{}".format(sp_num), address, None)
org.save(NAR_client)
addressBBP = Address(locality='Geneva', country='Switzerland')
BBP = Organization("Blue Brain Project", addressBBP, None)
BBP.save(NAR_client)
addressAllen = Address(locality='Seattle', country='United States')
spAllen = Organization("Allen Institute", addressAllen, None)
spAllen.save(NAR_client)
return ''
def generate_random_object(cls, all_fields=True):
attrs = {}
for field in cls.fields:
if all_fields or field.required:
obj_type = field.types[
0] # todo: pick randomly if len(field.types) > 1
if not field.intrinsic:
value = None
elif obj_type == basestring:
value = _random_text()
elif obj_type == int:
value = random.randint(1, 10)
elif obj_type == float:
value = random.uniform(0, 1000)
elif issubclass(obj_type, KGObject):
if obj_type == KGObject:
# specific type is not determined
# arbitrarily, let's choose minds.Dataset
value = MockKGObject(id=random_uuid(),
type=["minds:Dataset"])
else:
value = MockKGObject(id=random_uuid(),
type=getattr(obj_type, "type", None))
elif obj_type == QuantitativeValue:
# todo: subclass QV so we can specify the required dimensionality in `fields`
value = QuantitativeValue(
random.uniform(-10, 10),
random.choice(list(QuantitativeValue.unit_codes)))
elif obj_type == QuantitativeValueRange:
# todo: subclass QVR so we can specify the required dimensionality in `fields`
min = random.uniform(-10, 10)
value = QuantitativeValueRange(
min, min + random.uniform(1, 10),
random.choice(list(QuantitativeValue.unit_codes)))
elif issubclass(obj_type, OntologyTerm):
value = obj_type(random.choice(list(obj_type.iri_map)))
elif obj_type == datetime:
value = datetime.now()
elif obj_type == date:
value = date.today()
elif obj_type == bool:
value = random.choice([True, False])
elif obj_type == Distribution:
value = Distribution("http://example.com/myfile.txt")
elif obj_type == Age:
value = Age(QuantitativeValue(random.randint(7, 150), "days"),
"Post-natal")
elif obj_type == IRI:
value = "http://example.com/åêïøù"
elif obj_type == Address:
value = Address("Paris", "France")
elif obj_type == dict:
value = {"a": 1, "b": 2}
else:
raise NotImplementedError(str(obj_type))
attrs[field.name] = value
return cls(**attrs)
def test_round_trip(self, kg_client):
obj1 = Organization(name="NeuroPSI",
address=Address(locality="Saclay", country="France"),
parent=KGProxy(Organization, "http://fake_uuid_00481be7a1"))
instance = Instance(Organization.path, obj1._build_data(kg_client), Instance.path)
instance.data["@id"] = "http://fake_uuid_7bb3c1e78b"
instance.data["@type"] = Organization.type
obj2 = Organization.from_kg_instance(instance, kg_client)
for field in ("name", "address", "parent"):
assert getattr(obj1, field) == getattr(obj2, field)
def test_build_data(self, kg_client):
obj1 = Organization(name="NeuroPSI",
address=Address(locality="Saclay", country="France"),
parent=KGProxy(Organization, "http://fake_uuid_00481be7a1"))
expected = {
"name": "NeuroPSI",
"address": {
"@type": "schema:PostalAddress",
"addressLocality": "Saclay",
"addressCountry": "France"
},
"parentOrganization": {
"@type": "nsg:Organization",
"@id": "http://fake_uuid_00481be7a1"
}
}
assert obj1._build_data(kg_client) == expected