def parse_lockstat_data(filepath):
"""
@param before_file
@param after_file
@return delta values of each lock contetions
"""
def _fetch_data(fname):
"""Read a lock stat file and extract data
"""
result = {}
with open(fname) as fobj:
for line in fobj:
match = re.match(r'.+:', line)
if match:
last_colon = line.rfind(':')
key = line[:last_colon].strip(' \t&()')
values = line[last_colon + 1:].strip()
result[key] = np.array(
[float(x) for x in values.split()])
return result
results = {}
raw_data = _fetch_data(filepath)
fields = ['con-bounces', 'contentions',
'waittime-min', 'waittime-max', 'waittime-total',
'acq-bounces', 'acquisitions',
'holdtime-min', 'holdtime-max', 'holdtime-total']
for k, v in raw_data.items():
if are_all_zeros(v):
continue
if len(v) < len(fields):
v = list(v)
v.extend([0] * (len(fields) - len(v)))
results[k] = dict(zip(fields, v))
return results
def test_are_all_zeros(self):
# test list
self.assertTrue(analysis.are_all_zeros([0, 0, 0, 0]))
self.assertFalse(analysis.are_all_zeros([0, 1, 0, 0]))
self.assertFalse(analysis.are_all_zeros([1, 2, 3, 4]))
# test dict
self.assertTrue(analysis.are_all_zeros({1: 0, 2: 0, 0: 0, 3: 0}))
self.assertFalse(analysis.are_all_zeros({1: 0, 2: 2, 0: 0, 3: 0}))
self.assertFalse(analysis.are_all_zeros({1: 1, 2: 2, 3: 3, 4: 4}))