def jira_mock():
m = mock.MagicMock()
i1 = fakes.Issue("ISSUE-1")
i2 = fakes.Issue("ISSUE-2")
i3 = fakes.Issue("ISSUE-3")
i4 = fakes.Issue("ISSUE-4")
m.search_issues.return_value = [i1, i2, i3, i4]
return m
def jira_mock():
m = mock.MagicMock()
i1 = fakes.Issue('ISSUE-1')
i2 = fakes.Issue('ISSUE-2')
i3 = fakes.Issue('ISSUE-3')
i4 = fakes.Issue('ISSUE-4')
m.search_issues.return_value = [i1, i2, i3, i4]
return m
def test_execution_progress_100():
jira_mock = mock.MagicMock()
i1 = fakes.Issue("ISSUE-1", "Done")
i2 = fakes.Issue("ISSUE-2", "Done")
i3 = fakes.Issue("ISSUE-3", "Done")
i4 = fakes.Issue("ISSUE-4", "Done")
jira_mock.search_issues.return_value = [i1, i2, i3, i4]
percentage, all_issues, done_issues = algo.progress(jira_mock, "jql")
assert percentage == 100.0
assert len(all_issues) == 4
assert len(done_issues) == 4
def test_count_internal():
issue_cache_1 = fakes.IssueCache(
fakes.Issue('ISSUE-1', epic_name='my epic'))
issue_cache_1.linked_issues = {
"ISSUE-10": fakes.Issue('ISSUE-10', epic_name='linked epic')
}
issue_cache_2 = mock.MagicMock()
issue_cache_2.linked_issues = {"ISSUE-20": fakes.Issue('ISSUE-20')}
counter = dep.count_internal([issue_cache_1, issue_cache_2],
['prj1', 'prj2'])
assert len(counter['internal']) == 0
assert len(counter['external']) == 2
def test_active_sprint_progress():
jira_mock = mock.MagicMock()
i1 = fakes.Issue("ISSUE-1", "Done")
i2 = fakes.Issue("ISSUE-2", "Done")
i3 = fakes.Issue("ISSUE-3", "In progress")
i4 = fakes.Issue("ISSUE-4", "Open")
jira_mock.search_issues.return_value = [i1, i2, i3, i4]
percentage, all_issues, done_issues = algo.active_sprint_progress(jira_mock, "PRJ_KEY")
assert percentage == 50.0
assert len(all_issues) == 4
assert done_issues[0].key == IssueCache(jira_mock, i1).key
assert done_issues[1].key == IssueCache(jira_mock, i2).key
def test_count_stats():
issue_cache_1 = fakes.IssueCache(
fakes.Issue('ISSUE-1', epic_name='my epic'))
issue_cache_1.linked_issues = {
"ISSUE-10": fakes.Issue('ISSUE-10', epic_name='linked epic')
}
issue_cache_2 = mock.MagicMock()
issue_cache_2.linked_issues = {"ISSUE-20": fakes.Issue('ISSUE-20')}
project_count, epic_count, link_epic_count = dep.count_stats(
[issue_cache_1, issue_cache_2])
assert len(project_count) == 1
assert len(epic_count) == 2 # 'my epic' and none
assert len(link_epic_count) == 2 # none and linked epic
def test_count_by_link_type():
i1 = fakes.Issue('ISSUE-1', epic_name='my epic')
i1.fields.issuelinks = [
fakes.IssueLink('outwardIssue', 'DEP-1'),
fakes.IssueLink('inwardIssue', 'DEP-2')
]
issue_cache_1 = fakes.IssueCache(i1)
issue_cache_1.linked_issues = {
"ISSUE-10": fakes.Issue('ISSUE-10', epic_name='linked epic')
}
issue_cache_2 = mock.MagicMock()
issue_cache_2.linked_issues = {"ISSUE-20": fakes.Issue('ISSUE-20')}
linked_issues = dep.count_by_link_type([issue_cache_1, issue_cache_2])
assert linked_issues == {'Dependency': 2}
def test_execution_metrics(sprint_mock):
jira_mock = mock.MagicMock()
i1 = fakes.Issue("ISSUE-1", "Done")
i2 = fakes.Issue("ISSUE-2", "Done")
i3 = fakes.Issue("ISSUE-3", "Done")
i4 = fakes.Issue("ISSUE-4", "In progress")
jira_mock.search_issues.return_value = [i1, i2, i3, i4]
_, all_issues, done_in_sprint = algo.progress(jira_mock, "jql")
i4.fields.status.name = "Done"
done_by_now = done_in_sprint + [IssueCache(jira_mock, i4)]
em = algo.ExecutionMetrics(all_issues, done_in_sprint, done_by_now, sprint_mock)
assert em.count_done_by_now == 4
assert em.count_done_in_sprint == 3
assert em.progress_by_now == 100
assert em.progress_in_sprint == 75
def test_external_links_0(
jira_mock): # issue-5 is a dependency for the other issue
i5 = fakes.Issue('ISSUE-5')
i5.fields.issuelinks = [
fakes.IssueLink('inwardIssue', 'Dep-1'),
]
jira_mock.search_issues.return_value = [i5]
p, all_issues, all_with_dep = dep.dependency_factor(jira_mock, "jql")
assert p == 0
assert len(all_with_dep) == 0
assert len(all_issues) == 1
def test_external_links_100(jira_mock): # issue-5 is dependent on
i5 = fakes.Issue('ISSUE-5')
i5.fields.issuelinks = [
fakes.IssueLink('outwardIssue', 'Dep-1'),
]
jira_mock.search_issues.return_value = [i5]
p, all_issues, all_with_dep = dep.dependency_factor(jira_mock, "jql")
assert p == 100
assert len(all_with_dep) == 1
assert all_with_dep[0].key == 'ISSUE-5'
assert len(all_issues) == 1
def test_merge(all_issues):
metrics.save("ut", "test_squad_1", 50, all_issues,
[all_issues[0], all_issues[1]])
i1 = fakes.Issue('ISSUE-5')
i2 = fakes.Issue('ISSUE-6')
i3 = fakes.Issue('ISSUE-7')
i4 = fakes.Issue('ISSUE-8')
all_issues_2 = [i1, i2, i3, i4]
metrics.save("ut", "test_squad_2", 100, all_issues_2, [])
metrics_history_1 = metrics.read_independence_stats('ut', "test_squad_1")
metrics_history_2 = metrics.read_independence_stats('ut', "test_squad_2")
total_metrics = metrics.merge([metrics_history_1, metrics_history_2])
m = total_metrics.latest
assert m['squad'] == 'Merged'
assert m['name'] == 'ut'
assert m['independence'] == 75
assert len(m['all_issues']) == 8
assert len(m['all_with_dep']) == 2
def test_get_issue_by_key():
jira_mock = mock.MagicMock()
i1 = fakes.Issue("ISSUE-1")
jira_mock.search_issues.return_value = [i1]
issue_cache = j.get_issue_by_key(jira_mock, "ISSUE-1")
assert issue_cache.issue == i1
def all_issues():
i1 = fakes.Issue('ISSUE-1')
i2 = fakes.Issue('ISSUE-2')
i3 = fakes.Issue('ISSUE-3')
i4 = fakes.Issue('ISSUE-4')
return [i1, i2, i3, i4]