def parseVNStat():
process = subprocess.check_output(["vnstat","--dumpdb"])
lines = process.split("\n")
hourLines = lines[65:89]
dayLines = lines[13:43]
monthLines = lines[43:55]
trk = int(getVal(lines[10])) / 1024
ttk = int(getVal(lines[11])) / 1024
tr = int(getVal(lines[6])) + trk
tt = int(getVal(lines[7])) + ttk
createDate = int(getVal(lines[4]))
ttl = tr + tt
total = {'tr': tr, 'tt': tt, 'trs': scaleBytes(tr, 'MB'), 'total': ttl,
'tts': scaleBytes(tt, 'MB'), 'totals': scaleBytes(ttl, 'MB'),
'create': time.strftime("%Y-%m-%d", time.localtime(createDate))}
months = []
for month in monthLines:
if (getVal(month, 2) != '0'): # skip empty entries
months.append(parseEntry(month, 'm', "MB"))
days = []
for day in dayLines:
if (getVal(day, 2) != '0'): # skip empty entries
days.append(parseEntry(day, 'd', "MB"))
hours = []
for hour in hourLines:
if (getVal(hour, 2) != '0'): # skip empty entries
hours.append(parseEntry(hour, 'h', "kB"))
return {'total': total, 'months': months, 'days': days, 'hours': hours}
def index():
stats = os.statvfs('/home')
free = stats.f_bavail * stats.f_frsize
total = stats.f_blocks * stats.f_frsize
# note that f_bfree counts root reserved blocks as free, f_bavail does not
used = (stats.f_blocks - stats.f_bavail) * stats.f_frsize
pctused = round(used / total * 100, 2)
df = {'pctfree': 100 - pctused, 'pctused': pctused}
free = scaleBytes(free)
total = scaleBytes(total)
used = scaleBytes(used)
df.update({'total' : total, 'used' : used, 'free' : free})
stats = VNStat.parseVNStat()
jsonStats = statToJson(stats)
return render_template('index.html', df=df, stats=stats,
jsonStats = jsonStats)
def parseEntry(line, expected, scale):
if (getVal(line, 0) != expected):
raise Exception("Unexpected entry type during vnstat parsing")
index = getVal(line)
ts = getVal(line, 2)
rx = int(getVal(line, 3))
tx = int(getVal(line, 4))
# add the kilobytes part, if it exists
if (getVal(line, 5)):
rxk = int(getVal(line, 5))
txk = int(getVal(line, 6))
rx = rx + (rxk / 1024)
tx = tx + (txk / 1024)
total = rx + tx
if (expected == 'm'):
avg = calcMonthAvg(total, scale, float(ts))
else:
avg = calcDayAvg(total, scale)
return {'index': index, 'time': ts, 'rx': rx, 'tx': tx, 'avg': avg,
'total': total, 'totals': scaleBytes(total, scale),
'rxs': scaleBytes(rx, scale), 'txs': scaleBytes(tx, scale),
'avgs': scaleBytes(avg, 'kB') + '/s'}