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These changes made possible by our change to Postgres for the PB Mock test database.

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These tests failed in SQLite.
Modified test_delete_study to ensure existence of data we later delete.
Added test_update_study_from_csv which failed because of issue between SQLite and csv file data
This commit is contained in:
mike cullerton 2021-06-24 13:59:37 -04:00
parent aae975013b
commit 21da1e052b
1 changed files with 12 additions and 27 deletions
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39
tests/test_sanity.py
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@ -138,10 +138,10 @@ class Sanity_Check_Test(unittest.TestCase):
count = IRBInfo.query.filter(IRBInfo.SS_STUDY_ID == study.STUDYID).count() count = IRBInfo.query.filter(IRBInfo.SS_STUDY_ID == study.STUDYID).count()
self.assertGreater(count, 0) self.assertGreater(count, 0)
# irb_info = IRBInfo.query.filter(IRBInfo.SS_STUDY_ID == study.STUDYID).first() irb_info = IRBInfo.query.filter(IRBInfo.SS_STUDY_ID == study.STUDYID).first()
# self.assertEqual(irb_info.UVA_STUDY_TRACKING, tracking_string) self.assertEqual(irb_info.UVA_STUDY_TRACKING, tracking_string)
# self.assertEqual(irb_info.IRBEVENT[0].EVENT, event) self.assertEqual(irb_info.IRBEVENT[0].EVENT, event)
# self.assertEqual(irb_info.IRB_STATUS[0].STATUS, status) self.assertEqual(irb_info.IRB_STATUS[0].STATUS, status)
# Delete the study # Delete the study
@ -206,8 +206,6 @@ class Sanity_Check_Test(unittest.TestCase):
needle = 'funk' needle = 'funk'
result = LdapService.users_as_json(needle) result = LdapService.users_as_json(needle)
users = json.loads(result) users = json.loads(result)
print(f'len of users: {len(users)}')
# self.assertEqual(2, len(users))
uids = [] uids = []
for user in users: for user in users:
uids.append(user['uid']) uids.append(user['uid'])
@ -230,14 +228,14 @@ class Sanity_Check_Test(unittest.TestCase):
study = self.add_study(title=title) study = self.add_study(title=title)
self.assertEqual(title, study.TITLE) self.assertEqual(title, study.TITLE)
# This test fails because SQLite has an issue with date data from csv file def test_update_study_from_csv(self):
# def test_update_study_from_csv(self): study = self.add_study()
# study = self.add_study() f = open('tests/data/ExampleStudyID15370.csv', 'rb')
# f = open('tests/data/ExampleStudyID15370.csv', 'rb') r = self.app.post(f'/study_details/{study.STUDYID}', data={'file': [f]}, follow_redirects=False)
# r = self.app.post(f'/study_details/{study.STUDYID}', data={'file': [f]}, follow_redirects=False) api_result = db.session.query(StudyDetails).filter(StudyDetails.STUDYID==study.STUDYID).first()
# self.assertEqual(api_result.IDE, '1234')
# print(r) self.assertEqual(api_result.IND_1, 'abc')
# print('test_update_study_from_csv')
def test_study_details_validation(self): def test_study_details_validation(self):
@ -247,16 +245,3 @@ class Sanity_Check_Test(unittest.TestCase):
detail = StudyDetails.query.filter(StudyDetails.STUDYID == test_study.STUDYID).first() detail = StudyDetails.query.filter(StudyDetails.STUDYID == test_study.STUDYID).first()
self.assertEqual(detail.IS_IND, 1) self.assertEqual(detail.IS_IND, 1)
self.assertEqual(detail.IND_1, '1234') self.assertEqual(detail.IND_1, '1234')
# Can't figure out a good way to test failing state.
# We may not really need this, because validation happens in the front end, not in python
# def test_study_details_validation_fail(self):
# test_study = self.add_study()
# data = {'IS_IND': 1, 'IND_1': 1234, 'IS_IDE': 'b'}
# with self.assertRaises(Exception) as ex:
# r = self.app.post(f'/study_details/{test_study.STUDYID}', data=data, follow_redirects=False)
# self.assertEqual(r.errors['IS_IDE'], 'Not a valid integer value')
# print('test_study_details_validation_fail')
# detail = StudyDetails.query.filter(StudyDetails.STUDYID == test_study.STUDYID).first()
# self.assertIsNone(detail)
# print('test_study_details_validation_fail')