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#!/usr/bin/python2.5
#
# Copyright 2009 Google Inc. All Rights Reserved.
"""plot_sdcard: A module to plot the results of an sdcard perf test.
Requires Gnuplot python v 1.8
Typical usage:
python
>>> import plot_sdcard as p
>>> (metadata, data) = p.parse('/tmp/data.txt')
>>> p.plotIterations(metadata, data)
>>> p.plotTimes(metadata, data)
"""
#TODO: provide a main so we can pipe the result from the run
#TODO: more comments...
import Gnuplot
from numpy import *
import sys
import re
from itertools import izip
class DataSet(object):
def __init__(self, line):
res = re.search('# StopWatch ([\w]+) total/cumulative duration ([0-9.]+)\. Samples: ([0-9]+)', line)
self.time = []
self.data = []
self.name = res.group(1)
self.duration = float(res.group(2))
self.iteration = int(res.group(3))
print "Name: %s Duration: %f Iterations: %d" % (self.name, self.duration, self.iteration)
self.summary = re.match('([a-z_]+)_total', self.name)
def __repr__(self):
return str(zip(self.time, self.data))
def add(self, time, value):
self.time.append(time)
self.data.append(value)
def rescaleTo(self, length):
factor = len(self.data) / length
if factor > 1:
new_time = []
new_data = []
accum = 0.0
idx = 1
for t,d in izip(self.time, self.data):
accum += d
if idx % factor == 0:
new_time.append(t)
new_data.append(accum / factor)
accum = 0
idx += 1
self.time = new_time
self.data = new_data
class Metadata(object):
def __init__(self):
self.kernel = ''
self.command_line = ''
self.sched = ''
self.name = ''
self.fadvise = ''
self.iterations = 0
self.duration = 0.0
self.complete = False
def parse(self, line):
if line.startswith('# Kernel:'):
self.kernel = re.search('Linux version ([0-9.]+-[0-9]+)', line).group(1)
elif line.startswith('# Command:'):
self.command_line = re.search('# Command: [/\w_]+ (.*)', line).group(1)
self.command_line = self.command_line.replace(' --', '-')
self.command_line = self.command_line.replace(' -d', '')
self.command_line = self.command_line.replace('--test=', '')
elif line.startswith('# Iterations'):
self.iterations = int(re.search('# Iterations: ([0-9]+)', line).group(1))
elif line.startswith('# Fadvise'):
self.fadvise = int(re.search('# Fadvise: ([\w]+)', line).group(1))
elif line.startswith("# Sched"):
self.sched = re.search('# Sched features: ([\w]+)', line).group(1)
self.complete = True
def asTitle(self):
return "%s-duration:%f\\n-%s\\n%s" % (self.kernel, self.duration, self.command_line, self.sched)
def updateWith(self, dataset):
self.duration = max(self.duration, dataset.duration)
self.name = dataset.name
def plotIterations(metadata, data):
gp = Gnuplot.Gnuplot(persist = 1)
gp('set data style lines')
gp.clear()
gp.xlabel("iterations")
gp.ylabel("duration in second")
gp.title(metadata.asTitle())
styles = {}
line_style = 1
for dataset in data:
dataset.rescaleTo(metadata.iterations)
x = arange(len(dataset.data), dtype='int_')
if not dataset.name in styles:
styles[dataset.name] = line_style
line_style += 1
d = Gnuplot.Data(x, dataset.data,
title=dataset.name,
with_='lines ls %d' % styles[dataset.name])
else: # no need to repeat a title that exists already.
d = Gnuplot.Data(x, dataset.data,
with_='lines ls %d' % styles[dataset.name])
gp.replot(d)
gp.hardcopy('/tmp/%s-%s-%f.png' % (metadata.name, metadata.kernel, metadata.duration), terminal='png')
def plotTimes(metadata, data):
gp = Gnuplot.Gnuplot(persist = 1)
gp('set data style impulses')
gp('set xtics 1')
gp.clear()
gp.xlabel("seconds")
gp.ylabel("duration in second")
gp.title(metadata.asTitle())
styles = {}
line_style = 1
for dataset in data:
#dataset.rescaleTo(metadata.iterations)
x = array(dataset.time, dtype='float_')
if not dataset.name in styles:
styles[dataset.name] = line_style
line_style += 1
d = Gnuplot.Data(x, dataset.data,
title=dataset.name,
with_='impulses ls %d' % styles[dataset.name])
else: # no need to repeat a title that exists already.
d = Gnuplot.Data(x, dataset.data,
with_='impulses ls %d' % styles[dataset.name])
gp.replot(d)
gp.hardcopy('/tmp/%s-%s-%f.png' % (metadata.name, metadata.kernel, metadata.duration), terminal='png')
def parse(filename):
f = open(filename, 'r')
metadata = Metadata()
data = [] # array of dataset
dataset = None
for num, line in enumerate(f):
try:
line = line.strip()
if not line: continue
if not metadata.complete:
metadata.parse(line)
continue
if re.match('[a-z_]', line):
continue
if line.startswith('# StopWatch'): # Start of a new dataset
if dataset:
if dataset.summary:
metadata.updateWith(dataset)
else:
data.append(dataset)
dataset = DataSet(line)
continue
if line.startswith('#'):
continue
# must be data at this stage
try:
(time, value) = line.split(None, 1)
except ValueError:
print "skipping line %d: %s" % (num, line)
continue
if dataset and not dataset.summary:
dataset.add(float(time), float(value))
except Exception, e:
print "Error parsing line %d" % num, sys.exc_info()[0]
raise
data.append(dataset)
return (metadata, data)
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