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Copy pathplot_rate.py
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164 lines (138 loc) · 4.62 KB
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from helper import *
parser = argparse.ArgumentParser()
parser.add_argument('--files', '-f',
help="Rate timeseries output to one plot",
required=True,
action="store",
nargs='+',
dest="files")
parser.add_argument('--legend', '-l',
help="Legend to use if there are multiple plots. File names used as default.",
action="store",
nargs="+",
default=None,
dest="legend")
parser.add_argument('--out', '-o',
help="Output png file for the plot.",
default=None, # Will show the plot
dest="out")
parser.add_argument('-s', '--summarise',
help="Summarise the time series plot (boxplot). First 10 and last 10 values are ignored.",
default=False,
dest="summarise",
action="store_true")
parser.add_argument('--labels',
help="Labels for x-axis if summarising; defaults to file names",
required=False,
default=[],
nargs="+",
dest="labels")
parser.add_argument('--xlabel',
help="Custom label for x-axis",
required=False,
default=None,
dest="xlabel")
parser.add_argument('--ylabel',
help="Custom label for y-axis",
required=False,
default=None,
dest="ylabel")
parser.add_argument('-i',
help="Interfaces to plot (regex)",
default=".*",
dest="pat_iface")
parser.add_argument('--rx',
help="Plot receive rates on the interfaces.",
default=False,
action="store_true",
dest="rx")
parser.add_argument('--maxy',
help="Max mbps on y-axis..",
default=100,
action="store",
dest="maxy")
parser.add_argument('--miny',
help="Min mbps on y-axis..",
default=0,
action="store",
dest="miny")
parser.add_argument('--normalize',
help="normalise y-axis",
default=False,
action="store_true",
dest="normalise")
args = parser.parse_args()
if args.labels is None:
args.labels = args.files
pat_iface = re.compile(args.pat_iface)
to_plot=[]
"""Output of bwm-ng csv has the following columns:
unix_timestamp;iface_name;bytes_out;bytes_in;bytes_total;packets_out;packets_in;packets_total;errors_out;errors_in
"""
if args.normalise and args.labels == []:
raise "Labels required if summarising/normalising."
sys.exit(-1)
bw = map(lambda e: int(e.replace('M','')), args.labels)
idx = 0
for f in args.files:
data = read_list(f)
#xaxis = map(float, col(0, data))
#start_time = xaxis[0]
#xaxis = map(lambda x: x - start_time, xaxis)
#rate = map(float, col(2, data))
rate = {}
column = 2
if args.rx:
column = 3
for row in data:
try:
ifname = row[1]
except:
break
if ifname not in ['eth0', 'lo']:
if not rate.has_key(ifname):
rate[ifname] = []
try:
rate[ifname].append(float(row[column]) * 8.0 / (1 << 20))
except:
break
if args.summarise:
for k in rate.keys():
if pat_iface.match(k):
print k
vals = filter(lambda e: e < 1500, rate[k][10:-10])
if args.normalise:
vals = map(lambda e: e / bw[idx], vals)
idx += 1
to_plot.append(vals)
else:
for k in sorted(rate.keys()):
if pat_iface.match(k):
print k
plt.plot(rate[k], label=k)
plt.title("TX rates")
if args.rx:
plt.title("RX rates")
if args.ylabel:
plt.ylabel(args.ylabel)
elif args.normalise:
plt.ylabel("Normalized BW")
else:
plt.ylabel("Mbps")
plt.grid()
plt.legend()
plt.ylim((int(args.miny), int(args.maxy)))
if args.summarise:
plt.boxplot(to_plot)
plt.xticks(range(1, 1+len(args.files)), args.labels)
if not args.summarise:
if args.xlabel:
plt.xlabel(args.xlabel)
else:
plt.xlabel("Time")
if args.legend:
plt.legend(args.legend)
if args.out:
plt.savefig(args.out)
else:
plt.show()