def test_cgroup(self):
if self.con is None:
return
print self.conts
cids = [c['Id'] for c in self.conts]
print 'CIDS', cids
metrics = cgroupmgr.get_containers_metrics(cids)
print "METRICS", metrics
def compute_stats(self):
cids = self.containers.keys()
stats = cgroupmgr.get_containers_metrics(cids)
now = time.time()
for (cid, nst) in stats.iteritems():
c_stats = self.stats.get(cid, {})
if self.last_stats != 0:
diff = now - self.last_stats
else:
diff = 0
for d in nst:
k = '%s.%s' % (d['scope'], d['mname'])
_type = d['type']
scope = d['scope']
if _type == 'gauge':
c_stats[k] = {'type':_type, 'key':k, 'value':d['value'], 'scope':scope}
elif _type == 'rate':
o = c_stats.get(k, {})
rate_f = d['rate_f']
if o == {}:
# If there is no old value, don't need to compare rate as
# there is no older value
c_stats[k] = {'type':_type, 'key':k, 'value':None, 'raw_value':d['value'], 'scope':scope}
continue
if rate_f is None:
rate_v = (d['value'] - o['raw_value']) / diff
else:
rate_v = rate_f(o['raw_value'], d['value'], diff)
c_stats[k] = {'type':_type, 'key':k, 'value':rate_v, 'raw_value':d['value'], 'scope':scope}
self.stats[cid] = c_stats
# Keep stats only for the known containers
to_del = []
for cid in self.stats:
if cid not in self.containers:
to_del.append(cid)
for cid in to_del:
if cid in self.containers:
del self.containers[cid]
# tag the current time so we can diff rate in the future
self.last_stats = now
# Now pack the value based on the images if need
self.aggregate_stats()
