def generate_series():
session = api.get_session()
if CONF.start_date:
start_date = datetime.datetime.strptime(CONF.start_date, '%Y-%m-%d')
else:
start_date = None
if CONF.stop_date:
stop_date = datetime.datetime.strptime(CONF.stop_date, '%Y-%m-%d')
else:
stop_date = None
run_times = api.get_run_times_grouped_by_run_metadata_key(
CONF.command.metadata_key, start_date=start_date,
stop_date=stop_date, session=session)
df = pd.DataFrame(dict(
[(k, pd.Series(v)) for k, v in run_times.iteritems()]))
if not CONF.title:
title = "Run aggregate run time grouped by metadata"
else:
title = CONF.title
# NOTE(mtreinish): Decrease label font size for the worst case where we
# have tons of groups
matplotlib.rcParams['xtick.labelsize'] = '3'
plt.figure()
plt.title(title)
df.plot(kind='box', rot=90)
plt.ylabel('Time (sec.)')
plt.tight_layout()
plt.savefig(CONF.output, dpi=900)
def generate_series():
session = api.get_session()
if CONF.start_date:
start_date = datetime.datetime.strptime(CONF.start_date, '%Y-%m-%d')
else:
start_date = None
if CONF.stop_date:
stop_date = datetime.datetime.strptime(CONF.stop_date, '%Y-%m-%d')
else:
stop_date = None
run_times = api.get_run_times_grouped_by_run_metadata_key(
CONF.command.metadata_key,
start_date=start_date,
stop_date=stop_date,
session=session)
df = pd.DataFrame(
dict([(k, pd.Series(v)) for k, v in run_times.iteritems()]))
if not CONF.title:
title = "Run aggregate run time grouped by metadata"
else:
title = CONF.title
# NOTE(mtreinish): Decrease label font size for the worst case where we
# have tons of groups
matplotlib.rcParams['xtick.labelsize'] = '3'
plt.figure()
plt.title(title)
df.plot(kind='box', rot=90)
plt.ylabel('Time (sec.)')
plt.tight_layout()
plt.savefig(CONF.output, dpi=900)
def generate_series():
session = api.get_session()
start_date = None
stop_date = None
if CONF.start_date:
start_date = date_parser.parse(CONF.start_date)
if CONF.stop_date:
stop_date = date_parser.parse(CONF.stop_date)
ci_time = {}
ci_time_temp = {}
project_run_times = api.get_run_times_grouped_by_run_metadata_key(
CONF.command.key, start_date=start_date, stop_date=stop_date,
session=session)
for project in project_run_times:
ci_time_temp[project] = numpy.sum(project_run_times[project])
sorted_times = sorted(ci_time_temp.items(), key=operator.itemgetter(1),
reverse=True)
if CONF.command.num:
sorted_times = sorted_times[:CONF.command.num]
for project, time in sorted_times:
ci_time[project] = time
title = CONF.title or 'Aggregate Run Time grouped by %s' % CONF.command.key
session.close()
plt.bar(range(len(ci_time)), ci_time.values(), align='center', width=.1)
plt.xticks(range(len(ci_time)), ci_time.keys(), rotation=90, fontsize=8)
plt.title(title)
plt.tight_layout()
plt.savefig(CONF.output, dpi=CONF.dpi)
def test_get_run_times_grouped_by_run_metadata_key(self):
run_a = api.create_run(run_time=2.2, passes=2)
run_b = api.create_run(run_time=3.5, passes=3)
api.add_run_metadata({'key': 'value_a'}, run_a.id)
api.add_run_metadata({'key': 'value_b'}, run_b.id)
res = api.get_run_times_grouped_by_run_metadata_key('key')
expected_res = {'value_a': [2.2], 'value_b': [3.5]}
self.assertEqual(expected_res, res)
def test_get_run_times_grouped_by_run_metadata_key(self):
run_a = api.create_run(run_time=2.2, passes=2)
run_b = api.create_run(run_time=3.5, passes=3)
api.add_run_metadata({'key': 'value_a'}, run_a.id)
api.add_run_metadata({'key': 'value_b'}, run_b.id)
res = api.get_run_times_grouped_by_run_metadata_key('key')
expected_res = {'value_a': [2.2], 'value_b': [3.5]}
self.assertEqual(expected_res, res)
