1 from __future__ import absolute_import, print_function
6 from django.test import TestCase, RequestFactory
7 from django.utils.encoding import smart_text, smart_str
9 from .models import Affiliation, ExperimentType, Species, Library
10 from .views import library_dict, library_json, library
11 from .samples_factory import *
13 from htsworkflow.auth import apidata
14 from htsworkflow.util.conversion import str_or_none
15 from htsworkflow.util.ethelp import validate_xhtml
17 class LibraryTestCase(TestCase):
18 def testOrganism(self):
19 human = SpeciesFactory(common_name='human')
20 self.assertEquals(human.common_name, 'human')
21 library = LibraryFactory(library_species=human)
22 self.assertEquals(library.organism(), 'human')
24 def testAddingOneAffiliation(self):
25 affiliation = AffiliationFactory.create(name='Alice')
26 library = LibraryFactory()
27 library.affiliations.add(affiliation)
29 self.assertEqual(len(library.affiliations.all()), 1)
30 self.assertEqual(library.affiliation(), 'Alice (contact name)')
32 def testMultipleAffiliations(self):
33 alice = AffiliationFactory.create(name='Alice')
34 bob = AffiliationFactory.create(name='Bob')
36 library = LibraryFactory()
37 library.affiliations.add(alice, bob)
39 self.assertEqual(len(library.affiliations.all()), 2)
40 self.assertEqual(library.affiliation(),
41 'Alice (contact name), Bob (contact name)')
44 class SampleWebTestCase(TestCase):
46 Test returning data from our database in rest like ways.
47 (like returning json objects)
49 def test_library_dict(self):
50 library = LibraryFactory.create()
51 lib_dict = library_dict(library.id)
52 url = '/samples/library/%s/json' % (library.id,)
53 lib_response = self.client.get(url, apidata)
54 lib_json = json.loads(smart_text(lib_response.content))['result']
56 for d in [lib_dict, lib_json]:
57 # amplified_from_sample is a link to the library table,
58 # I want to use the "id" for the data lookups not
59 # the embedded primary key.
60 # It gets slightly confusing on how to implement sending the right id
61 # since amplified_from_sample can be null
62 #self.failUnlessEqual(d['amplified_from_sample'], lib.amplified_from_sample)
63 self.failUnlessEqual(d['antibody_id'], library.antibody_id)
64 self.failUnlessEqual(d['cell_line_id'], library.cell_line_id)
65 self.failUnlessEqual(d['cell_line'], str_or_none(library.cell_line))
66 self.failUnlessEqual(d['experiment_type'], library.experiment_type.name)
67 self.failUnlessEqual(d['experiment_type_id'], library.experiment_type_id)
68 self.failUnlessEqual(d['gel_cut_size'], library.gel_cut_size)
69 self.failUnlessEqual(d['hidden'], library.hidden)
70 self.failUnlessEqual(d['id'], library.id)
71 self.failUnlessEqual(d['insert_size'], library.insert_size)
72 self.failUnlessEqual(d['library_name'], library.library_name)
73 self.failUnlessEqual(d['library_species'], library.library_species.scientific_name)
74 self.failUnlessEqual(d['library_species_id'], library.library_species_id)
75 self.failUnlessEqual(d['library_type_id'], library.library_type_id)
76 self.assertTrue(d['library_type'].startswith('library type'))
77 self.failUnlessEqual(d['made_for'], library.made_for)
78 self.failUnlessEqual(d['made_by'], library.made_by)
79 self.failUnlessEqual(d['notes'], library.notes)
80 self.failUnlessEqual(d['replicate'], library.replicate)
81 self.failUnlessEqual(d['stopping_point'], library.stopping_point)
82 self.failUnlessEqual(d['successful_pM'], library.successful_pM)
83 self.failUnlessEqual(d['undiluted_concentration'],
84 str(library.undiluted_concentration))
89 if library.id == '10981':
90 # test a case where there is no known status
91 lane_set = {u'status': u'Unknown',
96 u'flowcell': u'303TUAAXX',
98 self.failUnlessEqual(len(d['lane_set']), 1)
99 self.failUnlessEqual(d['lane_set'][0], lane_set)
100 elif library.id == '11016':
101 # test a case where there is a status
102 lane_set = {u'status': 'Good',
107 u'flowcell': u'303TUAAXX',
109 self.failUnlessEqual(len(d['lane_set']), 1)
110 self.failUnlessEqual(d['lane_set'][0], lane_set)
113 def test_invalid_library_json(self):
115 Make sure we get a 404 if we request an invalid library id
117 response = self.client.get('/samples/library/nottheone/json', apidata)
118 self.failUnlessEqual(response.status_code, 404)
121 def test_invalid_library(self):
122 response = self.client.get('/library/nottheone/')
123 self.failUnlessEqual(response.status_code, 404)
126 def test_library_no_key(self):
128 Make sure we get a 403 if we're not logged in
130 library = LibraryFactory.create()
132 url = '/samples/library/{}/json'.format(library.id)
133 response = self.client.get(url, apidata)
134 self.failUnlessEqual(response.status_code, 200)
135 response = self.client.get(url)
136 self.failUnlessEqual(response.status_code, 403)
138 def test_library_rdf(self):
139 library = LibraryFactory.create()
142 from htsworkflow.util.rdfhelp import get_model, \
145 load_string_into_model, \
150 response = self.client.get(library.get_absolute_url())
151 self.assertEqual(response.status_code, 200)
152 content = smart_text(response.content)
153 load_string_into_model(model, 'rdfa', content)
155 body = """prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
156 prefix libns: <http://jumpgate.caltech.edu/wiki/LibraryOntology#>
158 select ?library ?name ?library_id ?gel_cut ?made_by
160 ?library a libns:library ;
162 libns:library_id ?library_id ;
163 libns:gel_cut ?gel_cut ;
164 libns:made_by ?made_by
166 query = RDF.SPARQLQuery(body)
167 for r in query.execute(model):
168 self.assertEqual(fromTypedNode(r['library_id']),
170 self.assertEqual(fromTypedNode(r['name']),
172 self.assertEqual(fromTypedNode(r['gel_cut']),
174 self.assertEqual(fromTypedNode(r['made_by']),
177 state = validate_xhtml(content)
178 if state is not None:
179 self.assertTrue(state)
181 # validate a library page.
182 from htsworkflow.util.rdfhelp import add_default_schemas
183 from htsworkflow.util.rdfinfer import Infer
184 add_default_schemas(model)
185 inference = Infer(model)
186 errmsgs = list(inference.run_validation())
187 self.assertEqual(len(errmsgs), 0)
189 def test_library_index_rdfa(self):
190 from htsworkflow.util.rdfhelp import \
191 add_default_schemas, get_model, load_string_into_model, \
193 from htsworkflow.util.rdfinfer import Infer
196 add_default_schemas(model)
197 inference = Infer(model)
199 response = self.client.get('/library/')
200 self.assertEqual(response.status_code, 200)
201 load_string_into_model(model, 'rdfa', smart_text(response.content))
203 errmsgs = list(inference.run_validation())
204 self.assertEqual(len(errmsgs), 0)
206 body = """prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
207 prefix libns: <http://jumpgate.caltech.edu/wiki/LibraryOntology#>
209 select ?library ?library_id ?name ?species ?species_name
211 ?library a libns:Library .
212 OPTIONAL { ?library libns:library_id ?library_id . }
213 OPTIONAL { ?library libns:species ?species .
214 ?species libns:species_name ?species_name . }
215 OPTIONAL { ?library libns:name ?name . }
217 bindings = set(['library', 'library_id', 'name', 'species', 'species_name'])
218 query = RDF.SPARQLQuery(body)
220 for r in query.execute(model):
222 for name, value in r.items():
223 self.assertTrue(name in bindings)
224 self.assertTrue(value is not None)
226 self.assertEqual(count, len(Library.objects.filter(hidden=False)))
228 state = validate_xhtml(response.content)
229 if state is not None: self.assertTrue(state)
232 # The django test runner flushes the database between test suites not cases,
233 # so to be more compatible with running via nose we flush the database tables
234 # of interest before creating our sample data.
236 obj.species_human = Species.objects.get(pk=8)
237 obj.experiment_rna_seq = ExperimentType.objects.get(pk=4)
238 obj.affiliation_alice = Affiliation.objects.get(pk=1)
239 obj.affiliation_bob = Affiliation.objects.get(pk=2)
241 Library.objects.all().delete()
242 obj.library_10001 = Library(
244 library_name = 'C2C12 named poorly',
245 library_species = obj.species_human,
246 experiment_type = obj.experiment_rna_seq,
247 creation_date = datetime.datetime.now(),
248 made_for = 'scientist unit 2007',
249 made_by = 'microfludics system 7321',
250 stopping_point = '2A',
251 undiluted_concentration = '5.01',
254 obj.library_10001.save()
255 obj.library_10002 = Library(
257 library_name = 'Worm named poorly',
258 library_species = obj.species_human,
259 experiment_type = obj.experiment_rna_seq,
260 creation_date = datetime.datetime.now(),
261 made_for = 'scientist unit 2007',
262 made_by = 'microfludics system 7321',
263 stopping_point = '2A',
264 undiluted_concentration = '5.01',
267 obj.library_10002.save()
273 rdfNS = RDF.NS("http://www.w3.org/1999/02/22-rdf-syntax-ns#")
274 xsdNS = RDF.NS("http://www.w3.org/2001/XMLSchema#")
275 libNS = RDF.NS("http://jumpgate.caltech.edu/wiki/LibraryOntology#")
277 from htsworkflow.util.rdfhelp import dump_model
278 except ImportError as e:
282 class TestRDFaLibrary(TestCase):
285 self.request = RequestFactory()
287 def test_parse_rdfa(self):
289 model = get_rdf_memory_model()
290 parser = RDF.Parser(name='rdfa')
292 bob = AffiliationFactory.create(name='Bob')
294 lib_object = LibraryFactory()
295 lib_object.affiliations.add(bob)
296 url = '/library/{}/'.format(lib_object.id)
297 ## request = self.request.get(url)
298 ## lib_response = library(request)
299 lib_response = self.client.get(url)
300 lib_body = smart_str(lib_response.content)
301 self.failIfEqual(len(lib_body), 0)
302 with open('/tmp/body.html', 'wt') as outstream:
303 outstream.write(lib_body)
305 parser.parse_string_into_model(model,
307 'http://localhost'+url)
308 # help debugging rdf errrors
309 #with open('/tmp/test.ttl', 'w') as outstream:
310 # dump_model(model, outstream)
311 # http://jumpgate.caltech.edu/wiki/LibraryOntology#affiliation>
312 self.check_literal_object(model, ['Bob'], p=libNS['affiliation'])
313 self.check_literal_object(model,
314 ['experiment type name'],
315 p=libNS['experiment_type'])
316 self.check_literal_object(model, ['400'], p=libNS['gel_cut'])
317 self.check_literal_object(model,
318 ['microfluidics bot 7321'],
320 self.check_literal_object(model,
321 [lib_object.library_name],
323 self.check_literal_object(model,
324 [lib_object.library_species.scientific_name],
325 p=libNS['species_name'])
328 def check_literal_object(self, model, values, s=None, p=None, o=None):
329 statements = list(model.find_statements(
330 RDF.Statement(s,p,o)))
331 self.failUnlessEqual(len(statements), len(values),
332 "Couln't find %s %s %s" % (s,p,o))
334 self.failUnless(s.object.literal_value['string'] in values)
337 def check_uri_object(self, model, values, s=None, p=None, o=None):
338 statements = list(model.find_statements(
339 RDF.Statement(s,p,o)))
340 self.failUnlessEqual(len(statements), len(values),
341 "Couln't find %s %s %s" % (s,p,o))
343 self.failUnless(str(s.object.uri) in values)
347 def get_rdf_memory_model():
348 storage = RDF.MemoryStorage()
349 model = RDF.Model(storage)
353 from unittest import TestSuite, defaultTestLoader
355 suite.addTests(defaultTestLoader.loadTestsFromTestCase(LibraryTestCase))
356 suite.addTests(defaultTestLoader.loadTestsFromTestCase(SampleWebTestCase))
357 suite.addTests(defaultTestLoader.loadTestsFromTestCase(TestRDFaLibrary))
360 if __name__ == "__main__":
361 from unittest import main
362 main(defaultTest="suite")