def get_test_stats(cls, project_slug):
response = api_client.get('/projects/{project}/'.format(
project=project_slug))
last_build = response['lastPassingBuild']
if not last_build:
# use a failing build if no build has passed yet
last_build = response['lastBuild']
if not last_build:
return {}, 0
# XXX(dcramer): ideally this would be abstracted via an API
job_list = db.session.query(Job.id).filter(
Job.build_id == last_build['id'],
)
if job_list:
test_durations = dict(db.session.query(
TestCase.name, TestCase.duration
).filter(
TestCase.job_id.in_(job_list),
))
else:
test_durations = dict()
test_names = []
total_count, total_duration = 0, 0
for test in test_durations:
test_names.append(test)
total_duration += test_durations[test]
total_count += 1
test_stats = {}
if test_names:
sep = TestCase(name=test_names[0]).sep
tree = build_flat_tree(test_names, sep=sep)
for group_name, group_tests in tree.iteritems():
segments = cls._normalize_test_segments(group_name)
test_stats[segments] = sum(test_durations[t] for t in group_tests)
# the build report can contain different test suites so this isnt the
# most accurate
if total_duration > 0:
avg_test_time = int(total_duration / total_count)
else:
avg_test_time = 0
return test_stats, avg_test_time
def get_test_stats(cls, project_slug):
response = api_client.get(
'/projects/{project}/'.format(project=project_slug))
last_build = response['lastPassingBuild']
if not last_build:
# use a failing build if no build has passed yet
last_build = response['lastBuild']
if not last_build:
return {}, 0
# XXX(dcramer): ideally this would be abstracted via an API
job_list = db.session.query(Job.id).filter(
Job.build_id == last_build['id'], )
if job_list:
test_durations = dict(
db.session.query(TestCase.name, TestCase.duration).filter(
TestCase.job_id.in_(job_list), ))
else:
test_durations = dict()
test_names = []
total_count, total_duration = 0, 0
for test in test_durations:
test_names.append(test)
total_duration += test_durations[test]
total_count += 1
test_stats = {}
if test_names:
sep = TestCase(name=test_names[0]).sep
tree = build_flat_tree(test_names, sep=sep)
for group_name, group_tests in tree.iteritems():
segments = cls._normalize_test_segments(group_name)
test_stats[segments] = sum(test_durations[t]
for t in group_tests)
# the build report can contain different test suites so this isnt the
# most accurate
if total_duration > 0:
avg_test_time = int(total_duration / total_count)
else:
avg_test_time = 0
return test_stats, avg_test_time