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