def report_sum(name, start=None, end=None):
# fetch data from our RRD's
rrdargs = [
os.path.join(cfg.VAR_DB_OPENVPS, 'vsmon', name + '.rrd'), 'AVERAGE'
]
if start:
rrdargs.append('--start')
rrdargs.append(start)
if end:
rrdargs.append('--end')
rrdargs.append(end)
header, rows = RRD.fetch(*rrdargs)
step = int(rows[1][0] - rows[0][0])
result = {
'start': rows[0][0],
'end': rows[-1][0],
'step': step,
'steps': len(rows),
'ticks': 0,
'vm': 0,
'rss': 0,
'in': 0,
'out': 0,
'disk': 0,
}
for row in rows:
ticks = _sum_none(header, row, ['vs_uticks', 'vs_sticks'])
result['ticks'] += ticks
result['vm'] += _sum_none(header, row, ['vs_vm'])
result['rss'] += _sum_none(header, row, ['vs_rss'])
result['in'] += _sum_none(header, row, ['vs_in'])
result['out'] += _sum_none(header, row, ['vs_out'])
result['disk'] += _sum_none(header, row, ['vs_disk_b_used'])
# a COUNTER is always per-second. To get the actual number, it
# is AVG * STEP (where step is in seconds)
# a GAUGE is an average (i.e. not per-second). If our tokens are
# based on a per-minute interval, then the total tokens would be
# sum(averages) * (STEP/60)
result['ticks'] = result['ticks'] * step # counter
result['vm'] = result['vm'] * (step / 60) # gauge
result['rss'] = result['rss'] * (step / 60) # gauge
result['in'] = result['in'] * step # counter
result['out'] = result['out'] * step # counter
result['disk'] = result['disk'] * (step / 60) # gauge
return result
def report_sum(name, start=None, end=None):
# fetch data from our RRD's
rrdargs = [os.path.join(cfg.VAR_DB_OPENVPS, "vsmon", name + ".rrd"), "AVERAGE"]
if start:
rrdargs.append("--start")
rrdargs.append(start)
if end:
rrdargs.append("--end")
rrdargs.append(end)
header, rows = RRD.fetch(*rrdargs)
step = int(rows[1][0] - rows[0][0])
result = {
"start": rows[0][0],
"end": rows[-1][0],
"step": step,
"steps": len(rows),
"ticks": 0,
"vm": 0,
"rss": 0,
"in": 0,
"out": 0,
"disk": 0,
}
for row in rows:
ticks = _sum_none(header, row, ["vs_uticks", "vs_sticks"])
result["ticks"] += ticks
result["vm"] += _sum_none(header, row, ["vs_vm"])
result["rss"] += _sum_none(header, row, ["vs_rss"])
result["in"] += _sum_none(header, row, ["vs_in"])
result["out"] += _sum_none(header, row, ["vs_out"])
result["disk"] += _sum_none(header, row, ["vs_disk_b_used"])
# a COUNTER is always per-second. To get the actual number, it
# is AVG * STEP (where step is in seconds)
# a GAUGE is an average (i.e. not per-second). If our tokens are
# based on a per-minute interval, then the total tokens would be
# sum(averages) * (STEP/60)
result["ticks"] = result["ticks"] * step # counter
result["vm"] = result["vm"] * (step / 60) # gauge
result["rss"] = result["rss"] * (step / 60) # gauge
result["in"] = result["in"] * step # counter
result["out"] = result["out"] * step # counter
result["disk"] = result["disk"] * (step / 60) # gauge
return result
def period_total(rrd, start, end, dslist=['in', 'out']):
start, end = int(float(start)), int(float(end))
header, rows = RRD.fetch(rrd, 'AVERAGE', '-s', str(start), '-e', str(end))
step = rows[1][0] - rows[0][0]
# convert DS names to numeric indecies
dslist = [list(header).index(x) for x in dslist]
totals = [0] * len(dslist)
for row in rows:
n = 0
for ds_idx in dslist:
if row[ds_idx]:
totals[n] += row[ds_idx]
n += 1
return step, totals
def period_total(rrd, start, end, dslist=["in", "out"]):
start, end = int(float(start)), int(float(end))
header, rows = RRD.fetch(rrd, "AVERAGE", "-s", str(start), "-e", str(end))
step = rows[1][0] - rows[0][0]
# convert DS names to numeric indecies
dslist = [list(header).index(x) for x in dslist]
totals = [0] * len(dslist)
for row in rows:
n = 0
for ds_idx in dslist:
if row[ds_idx]:
totals[n] += row[ds_idx]
n += 1
return step, totals
