def setUp(self):
super(ExtractorTest, self).setUp()
self.extractor = Extractor()
def setUp(self):
super(ExtractorTest, self).setUp()
self.extractor = Extractor()
class ExtractorTest(TestCase):
""" Tests that Extractor extracts correct data and transforms it into expected format """
def setUp(self):
super(ExtractorTest, self).setUp()
self.extractor = Extractor()
@ddt.unpack
@ddt.data(*_std_parameters_list)
def test_extract_invokes_correct_data_extraction_methods(self, course_key, end_date, thread_type, thread_ids):
""" Tests that correct underlying extractors are called with proper arguments """
with mock.patch(_target_module + '.CourseEnrollment.objects.users_enrolled_in') as patched_users_enrolled_in, \
mock.patch(_target_module + ".User.all_social_stats") as patched_all_social_stats:
self.extractor.extract(course_key, end_date=end_date, thread_type=thread_type, thread_ids=thread_ids)
patched_users_enrolled_in.return_value = []
patched_users_enrolled_in.patched_all_social_stats = {}
patched_users_enrolled_in.assert_called_with(course_key)
patched_all_social_stats.assert_called_with(
str(course_key), end_date=end_date, thread_type=thread_type, thread_ids=thread_ids
)
@ddt.unpack
@ddt.data(
([], {}, []),
(
[_make_user_mock(1)],
{"1": _make_social_stats(num_threads=1)},
[_make_result(1, num_threads=1)]
),
(
[
_make_user_mock(1, username="******", email="*****@*****.**", first_name="w", last_name="e"),
_make_user_mock(2, username="******", email="*****@*****.**", first_name="s", last_name="d"),
_make_user_mock(3, username="******", email="*****@*****.**", first_name="x", last_name="c"),
],
{
"1": _make_social_stats(
num_threads=1, num_comments=3, num_replies=7,
num_upvotes=2, num_thread_followers=4, num_comments_generated=4
),
"2": _make_social_stats(
num_threads=7, num_comments=15, num_replies=3,
num_upvotes=4, num_thread_followers=5, num_comments_generated=19
)
},
[
_make_result(
1, username="******", email="*****@*****.**", first_name="w", last_name="e",
num_threads=1, num_comments=3, num_replies=7,
num_upvotes=2, num_thread_followers=4, num_comments_generated=4
),
_make_result(
2, username="******", email="*****@*****.**", first_name="s", last_name="d",
num_threads=7, num_comments=15, num_replies=3,
num_upvotes=4, num_thread_followers=5, num_comments_generated=19
),
_make_result(3, username="******", email="*****@*****.**", first_name="x", last_name="c")
]
),
)
def test_extract_correctly_merges_data(self, user_data, social_stats, expected_result):
""" Tests that extracted data is merged correctly """
with mock.patch(_target_module + '.CourseEnrollment.objects.users_enrolled_in') as patched_users_enrolled_in, \
mock.patch(_target_module + ".User.all_social_stats") as patched_all_social_stats:
patched_users_enrolled_in.return_value = user_data
patched_all_social_stats.return_value = social_stats
result = self.extractor.extract(CourseLocator("completely", "irrelevant", "here"))
self.assertEqual(sorted(result, key=lambda i: i[DiscussionExportFields.USER_ID]), expected_result)
class ExtractorTest(TestCase):
""" Tests that Extractor extracts correct data and transforms it into expected format """
def setUp(self):
super(ExtractorTest, self).setUp()
self.extractor = Extractor()
@ddt.unpack
@ddt.data(*_std_parameters_list)
def test_extract_invokes_correct_data_extraction_methods(
self, course_key, end_date, thread_type, thread_ids):
""" Tests that correct underlying extractors are called with proper arguments """
with mock.patch(_target_module + '.CourseEnrollment.objects.users_enrolled_in') as patched_users_enrolled_in, \
mock.patch(_target_module + ".User.all_social_stats") as patched_all_social_stats:
self.extractor.extract(course_key,
end_date=end_date,
thread_type=thread_type,
thread_ids=thread_ids)
patched_users_enrolled_in.return_value = []
patched_users_enrolled_in.patched_all_social_stats = {}
patched_users_enrolled_in.assert_called_with(course_key)
patched_all_social_stats.assert_called_with(
str(course_key),
end_date=end_date,
thread_type=thread_type,
thread_ids=thread_ids)
@ddt.unpack
@ddt.data(
([], {}, []),
([_make_user_mock(1)], {
"1": _make_social_stats(num_threads=1)
}, [_make_result(1, num_threads=1)]),
([
_make_user_mock(1,
username="******",
email="*****@*****.**",
first_name="w",
last_name="e"),
_make_user_mock(2,
username="******",
email="*****@*****.**",
first_name="s",
last_name="d"),
_make_user_mock(3,
username="******",
email="*****@*****.**",
first_name="x",
last_name="c"),
], {
"1":
_make_social_stats(num_threads=1,
num_comments=3,
num_replies=7,
num_upvotes=2,
num_thread_followers=4,
num_comments_generated=4),
"2":
_make_social_stats(num_threads=7,
num_comments=15,
num_replies=3,
num_upvotes=4,
num_thread_followers=5,
num_comments_generated=19)
}, [
_make_result(1,
username="******",
email="*****@*****.**",
first_name="w",
last_name="e",
num_threads=1,
num_comments=3,
num_replies=7,
num_upvotes=2,
num_thread_followers=4,
num_comments_generated=4),
_make_result(2,
username="******",
email="*****@*****.**",
first_name="s",
last_name="d",
num_threads=7,
num_comments=15,
num_replies=3,
num_upvotes=4,
num_thread_followers=5,
num_comments_generated=19),
_make_result(3,
username="******",
email="*****@*****.**",
first_name="x",
last_name="c")
]),
)
def test_extract_correctly_merges_data(self, user_data, social_stats,
expected_result):
""" Tests that extracted data is merged correctly """
with mock.patch(_target_module + '.CourseEnrollment.objects.users_enrolled_in') as patched_users_enrolled_in, \
mock.patch(_target_module + ".User.all_social_stats") as patched_all_social_stats:
patched_users_enrolled_in.return_value = user_data
patched_all_social_stats.return_value = social_stats
result = self.extractor.extract(
CourseLocator("completely", "irrelevant", "here"))
self.assertEqual(
sorted(result,
key=lambda i: i[DiscussionExportFields.USER_ID]),
expected_result)