fixtures = ['test_samples.json']
def test_library_info(self):
-
for lib in Library.objects.all():
lib_dict = library_dict(lib.id)
url = '/samples/library/%s/json' % (lib.id,)
self.assertEqual(fromTypedNode(r['gel_cut']), 400)
self.assertEqual(fromTypedNode(r['made_by']), u'Igor')
+ def test_library_index_rdfa(self):
+ from htsworkflow.util.rdfhelp import \
+ add_default_schemas, get_model, load_string_into_model
+
+ from htsworkflow.util.rdfinfer import Infer
+
+ model = get_model()
+ add_default_schemas(model)
+ inference = Infer(model)
+
+ response = self.client.get('/library/')
+ self.assertEqual(response.status_code, 200)
+ load_string_into_model(model, 'rdfa', response.content)
+
+ errmsgs = list(inference.run_validation())
+ self.assertEqual(len(errmsgs), 2)
+ # didn't feel like giving the index page a type since all
+ # its doing is showing a list of things.
+ for err in errmsgs:
+ self.assertEqual(err, 'Missing type for: http://localhost/')
+
+ body = """prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
+ prefix libns: <http://jumpgate.caltech.edu/wiki/LibraryOntology#>
+
+ select ?library ?library_id ?name ?species
+ where {
+ ?library a libns:Library .
+ OPTIONAL { ?library libns:library_id ?library_id . }
+ OPTIONAL { ?library libns:species ?species . }
+ OPTIONAL { ?library libns:name ?name . }
+ }"""
+ bindings = set(['library', 'library_id', 'name', 'species'])
+ query = RDF.SPARQLQuery(body)
+ count = 0
+ for r in query.execute(model):
+ count += 1
+ for name, value in r.items():
+ self.assertTrue(name in bindings)
+ self.assertTrue(value is not None)
+
+ self.assertEqual(count, len(Library.objects.filter(hidden=False)))
+
# The django test runner flushes the database between test suites not cases,
# so to be more compatible with running via nose we flush the database tables
# of interest before creating our sample data.