def test_commits_trend(self):
"""
Test the aggregations for Commits class.
"""
commits = git.Commits(self.git_index, self.start, self.end)
last, trend_percentage = get_trend(commits.timeseries())
self.assertEquals(last, TREND_LAST)
self.assertEquals(trend_percentage, TREND_PRECENTAGE)
def test_commits_timeseries_with_df(self):
"""
Test if the timeseries dataframe for commits metrics are returned
correctly or not.
"""
commits = git.Commits(self.git_index, self.start, self.end)
commits_ts = commits.timeseries(dataframe=True)
commits_test = pd.read_csv(COMMITS_BY_PERIOD)
self.assertIsInstance(commits_ts, pd.DataFrame)
assert_array_equal(commits_test['value'], commits_ts['value'])
def test_commits_timeseries_non_df(self):
"""
Test if the timeseries for commits metrics are returned
correctly or not.
"""
commits = git.Commits(self.git_index, self.start, self.end)
commits_ts = commits.timeseries()
commits_test = pd.read_csv(COMMITS_BY_PERIOD)
commits_test['date'] = [
parser.parse(item).date() for item in commits_test['date']
]
assert_array_equal(commits_test['value'], commits_ts['value'])
assert_array_equal(commits_test['date'], commits_ts['date'])