def test_cvnitem_learning_factory(self):
user = UserFactory.create()
parser = CvnXmlWriter(user)
cvnitem_dict = {}
# Insert Phd the researcher has received
for i in range(0, 10):
d = LearningPhdFactory.create()
cvnitem_dict[d[u'des1_titulacion']] = d
if u'des1_organismo' in d and d[u'des1_organismo'] is None:
del d[u'des1_organismo']
parser.add_learning_phd(**d)
# Insert bachelor, degree...data
for i in range(0, 10):
d = LearningFactory.create()
cvnitem_dict[d[u'des1_titulacion']] = d
if u'des1_organismo' in d and d[u'des1_organismo'] is None:
del d[u'des1_organismo']
parser.add_learning(**d)
cvn = CVN.create(user, parser.tostring())
cvn.xml_file.open()
cvn_items = etree.parse(cvn.xml_file).findall('CvnItem')
for item in cvn_items:
cvnitem = parse_cvnitem(item)
self.assertEqual(
cmp(cvnitem, cvnitem_dict[cvnitem[u'des1_titulacion']]), 0)
self.assertNotEqual(cvn, None)
def test_cvnitem_teaching_factory(self):
user = UserFactory.create()
parser = CvnXmlWriter(user)
cvnitem_dict = {}
# Insert teaching data
for i in range(0, 10):
d = TeachingFactory.create()
cvnitem_dict[d[u'asignatura']] = d
parser.add_teaching(**d)
cvn = CVN.create(user, parser.tostring())
cvn.xml_file.open()
cvn_items = etree.parse(cvn.xml_file).findall('CvnItem')
for item in cvn_items:
cvnitem = parse_cvnitem(item)
self.assertEqual(
cmp(cvnitem, cvnitem_dict[cvnitem[u'asignatura']]), 0)
self.assertNotEqual(cvn, None)
def test_cvnitem_profession_factory(self):
user = UserFactory.create()
parser = CvnXmlWriter(user)
cvnitem_dict = {}
# Insert old and new professions in the CVN
for i in range(0, 10):
d = ProfessionFactory.create()
for key in [u'des1_departamento', u'centro', u'des1_dedicacion']:
if d[key] is None:
del d[key]
cvnitem_dict[d[u'des1_cargo']] = d
parser.add_profession(**d)
cvn = CVN.create(user, parser.tostring())
cvn.xml_file.open()
cvn_items = etree.parse(cvn.xml_file).findall('CvnItem')
for item in cvn_items:
cvnitem = parse_cvnitem(item)
self.assertEqual(
cmp(cvnitem, cvnitem_dict[cvnitem[u'des1_cargo']]), 0)
self.assertNotEqual(cvn, None)
