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#!/usr/bin/python
# Copyright (c) 2016 Cisco and/or its affiliates.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at:
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Plot the performance data"""
import argparse
import operator
import os
import sys
import math
import plotly.offline as ploff
import plotly.graph_objs as plgo
from lxml import etree
def select_files_in_subfolders(directory, ext='xml'):
"""Get all files in folder and its subfolders.
:param dir: Input folder.
:param ext: File extension.
:type dir: str
:type ext: str
:return: List of filex matching the parameters.
:rtype list
"""
for _, _, files in os.walk(directory):
for file in files:
if file.endswith('.%s' % ext):
yield os.path.join(directory, file)
def select_files_in_folder(directory, ext='xml'):
"""Get all files in folder.
:param dir: Input folder.
:param ext: File extension.
:type dir: str
:type ext: str
:return: List of filex matching the parameters.
:rtype list
"""
for file in os.listdir(directory):
if file.endswith('.%s' % ext):
yield os.path.join(directory, file)
def combine_dicts(first, second, oper=operator.add):
"""Combine two dictionaries.
:param first: First dict.
:param second: Second dict.
:param oper: Operator.
:type first: dict
:type second: dict
:type oper: operator
:return: Combined dictionary.
:rtype dict
"""
return dict(first.items() + second.items() +\
[(k, oper(first[k], second[k])) for k in set(second) & set(first)])
def parse_data_pps(args):
"""Get PPS data out of XML file into array.
:param args: Command line parameters.
:type suite: ArgumentParser
:return: X-data and Y-data dictionaries.
:rtype tuple of dict
"""
xdata = []
ydata_pps = {}
for i, file in enumerate(sorted(select_files_in_folder(args.input))):
xml_tree = etree.parse(file)
sel = xml_tree.xpath(args.xpath)
if sel:
ydata_pps = combine_dicts(ydata_pps, dict((elem.attrib['name'],\
(i, float(elem.text))) for elem in sel))
xdata.append(xml_tree.getroot().attrib['vdevice'])
return xdata, ydata_pps
def parse_data_lat(args):
"""Get latency data out of XML file into array.
:param args: Command line parameters.
:type suite: ArgumentParser
:return: X-data and Y-data dictionaries.
:rtype tuple of dict
"""
xdata = []
ydata_lat = {}
for i, file in enumerate(sorted(select_files_in_folder(args.input))):
xml_tree = etree.parse(file)
sel = xml_tree.xpath(args.xpath)
if sel:
try:
ydata_lat = combine_dicts(ydata_lat, dict((elem.attrib['name'],\
(i, elem.attrib[args.latency])) for elem in sel))
except KeyError:
raise RuntimeError('Retrieving latency data error (PDR?)')
xdata.append(xml_tree.getroot().attrib['vdevice'])
return xdata, ydata_lat
def parse_args():
"""Parse arguments from cmd line.
:return: Parsed arguments.
:rtype ArgumentParser
"""
parser = argparse.ArgumentParser()
parser.add_argument("-x", "--xpath", required=True,
help="Xpath filter")
parser.add_argument("-t", "--title", required=True,
help="Plot title")
parser.add_argument("-l", "--lower",
default=False,
help="Lower boudary of Y-axis")
parser.add_argument("-u", "--upper",
default=False,
help="Upper boudary of Y-axis")
parser.add_argument("-e", "--errorbar",
default=False,
help="Errorbar for Y-axis")
parser.add_argument("-d", "--latency",
choices=['lat_10', 'lat_50', 'lat_100'],
help="Latency to draw")
parser.add_argument("-p", "--plot",
choices=['box', 'scatter'],
default='box',
help="Throughput plot type")
parser.add_argument("-i", "--input",
help="Input folder")
parser.add_argument("-o", "--output", required=True,
help="Output image file name")
return parser.parse_args()
def main():
"""Main function."""
args = parse_args()
if args.latency:
xdata, ydata = parse_data_lat(args)
else:
xdata, ydata = parse_data_pps(args)
# Print data into console for debug
print args.title
for data in ydata:
print data + ";" + ";".join(str(val) for val in ydata[data][1::2])
if xdata and ydata:
traces = []
# Add plot traces
for i, suite in enumerate(ydata):
if args.latency:
y_extract = []
_ = [y_extract.extend([l, l]) for l in ydata[suite][1::2][0].split('/')]
traces.append(plgo.Box(
x=['TGint1-to-SUT1-to-SUT2-to-TGint2',
'TGint1-to-SUT1-to-SUT2-to-TGint2',
'TGint1-to-SUT1-to-SUT2-to-TGint2',
'TGint1-to-SUT1-to-SUT2-to-TGint2',
'TGint1-to-SUT1-to-SUT2-to-TGint2',
'TGint1-to-SUT1-to-SUT2-to-TGint2',
'TGint2-to-SUT2-to-SUT1-to-TGint1',
'TGint2-to-SUT2-to-SUT1-to-TGint1',
'TGint2-to-SUT2-to-SUT1-to-TGint1',
'TGint2-to-SUT2-to-SUT1-to-TGint1',
'TGint2-to-SUT2-to-SUT1-to-TGint1',
'TGint2-to-SUT2-to-SUT1-to-TGint1'],
y=y_extract,
name=str(i+1)+'. '+suite.lower().replace('-ndrdisc',''),
boxmean=False,
))
else:
if args.plot == 'box':
traces.append(plgo.Box(
x=[str(i+1)+'. TC'] * len(ydata[suite][1::2]),
y=ydata[suite][1::2],
name=str(i+1)+'. '+suite.lower().replace('-ndrdisc',''),
hoverinfo='x+y',
boxpoints='outliers',
))
elif args.plot == 'scatter':
traces.append(plgo.Scatter(
x=ydata[suite][0::2],
y=ydata[suite][1::2],
mode='lines+markers',
name=str(i+1)+'. '+suite.lower().replace('-ndrdisc',''),
))
else:
pass
# Add plot layout
layout = plgo.Layout(
title='{0}'.format(args.title),
xaxis=dict(
autorange=True,
autotick=False,
fixedrange=False,
gridcolor='rgb(238, 238, 238)',
linecolor='rgb(238, 238, 238)',
linewidth=1,
showgrid=True,
showline=True,
showticklabels=True,
tickcolor='rgb(238, 238, 238)',
tickmode='linear',
title='Indexed Test Cases' if args.plot == 'box'\
else '',
zeroline=False,
),
yaxis=dict(
gridcolor='rgb(238, 238, 238)',
hoverformat='' if args.latency else '.4s',
linecolor='rgb(238, 238, 238)',
linewidth=1,
range=[args.lower, args.upper] if args.lower and args.upper\
else [],
showgrid=True,
showline=True,
showticklabels=True,
tickcolor='rgb(238, 238, 238)',
title='Latency min/avg/max [uSec]' if args.latency\
else 'Packets Per Second [pps]',
zeroline=False,
),
boxmode='group',
boxgroupgap=0.5,
autosize=False,
margin=dict(
autoexpand=False,
b=200,
l=50,
r=50,
),
showlegend=True,
legend=dict(
orientation='h',
y=-1,
yanchor='bottom',
),
width=700,
height=700,
)
# Create plot
plpl = plgo.Figure(data=traces, layout=layout)
# Export Plot
ploff.plot(plpl,
show_link=False, auto_open=False,
filename='{0}.html'.format(args.output))
else:
sys.stderr.write('No data found!\n')
if __name__ == "__main__":
sys.exit(main())
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