1#!/usr/bin/env python 2# 3# Copyright (C) 2013 The Android Open Source Project 4# 5# Licensed under the Apache License, Version 2.0 (the 'License'); 6# you may not use this file except in compliance with the License. 7# You may obtain a copy of the License at 8# 9# http://www.apache.org/licenses/LICENSE-2.0 10# 11# Unless required by applicable law or agreed to in writing, software 12# distributed under the License is distributed on an 'AS IS' BASIS, 13# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 14# See the License for the specific language governing permissions and 15# limitations under the License. 16 17import os, sys 18import get_csv_report as psr 19import matplotlib.pyplot as plt 20import matplotlib.mlab as mlab 21import matplotlib.cbook as cbook 22import matplotlib.ticker as ticker 23""" 24A simple script to render the data from the benchmark as a graph. 25This uses MatPlotLib (http://matplotlib.org/) to plot which can be installed on linux with; 26 sudo apt-get install python-matplotlib 27""" 28 29colors = { 30 'maguro':'#FF0000', 31 'mako':'#00FF00', 32 'manta':'#0000FF', 33 'tilapia':'#00FFFF' 34} 35 36def main(argv): 37 if len(argv) != 2: 38 print "grapher.py cts_report_dir" 39 sys.exit(1) 40 41 (_, tests) = psr.parseReports(os.path.abspath(argv[1])) 42 43 # For each of the benchmarks 44 for benchmark in tests: 45 if benchmark.startswith('com.android.cts.opengl.primitive'): 46 results = tests[benchmark] 47 legend = [] 48 # Create a new figure 49 fig = plt.figure() 50 # Set the title of the graph 51 plt.title(benchmark[benchmark.index('#') + 1:]) 52 # For each result in the data set 53 for r in results: 54 score = r.get('result', 'no results') 55 x = [] 56 y = [] 57 if score == 'pass': 58 y = r['details']['Fps Values'] 59 x = range(1, len(y) + 1) 60 # Get the score, then trim it to 2 decimal places 61 score = r['summary']['Average Frames Per Second'] 62 score = score[0:score.index('.') + 3] 63 if score != 'no results': 64 # Create a plot 65 ax = fig.add_subplot(111) 66 name = r['device'] 67 lbl = name + ' (%s)'%score 68 clr = colors.get(name, "#%06X" % (hash(name) % 0xFFFFFF)) 69 # Plot the workload vs the values 70 ax.plot(x, y, 'o-', label=lbl, color=clr) 71 # Add a legend 72 ax.legend(loc='upper right').get_frame().set_fill(False) 73 (ymin, ymax) = plt.ylim() 74 if ymax < 90:# So that on screen tests are easier to compare 75 plt.ylim(0, 90) 76 plt.xlabel('Iteration') 77 plt.ylabel('FPS') 78 fig.autofmt_xdate() 79 # Show the plots 80 plt.show() 81 82if __name__ == '__main__': 83 main(sys.argv) 84