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1 | # histogram.py |
2 | # | |
3 | # Babeltrace histogram example script | |
4 | # | |
5 | # Copyright 2012 EfficiOS Inc. | |
6 | # | |
7 | # Author: Danny Serres <danny.serres@efficios.com> | |
8 | # | |
9 | # Permission is hereby granted, free of charge, to any person obtaining a copy | |
10 | # of this software and associated documentation files (the "Software"), to deal | |
11 | # in the Software without restriction, including without limitation the rights | |
12 | # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | |
13 | # copies of the Software, and to permit persons to whom the Software is | |
14 | # furnished to do so, subject to the following conditions: | |
15 | # | |
16 | # The above copyright notice and this permission notice shall be included in | |
17 | # all copies or substantial portions of the Software. | |
18 | ||
19 | # The script checks the number of events in the trace | |
20 | # and outputs a table and a .svg histogram for the specified | |
21 | # range (microseconds) or the total trace if no range specified. | |
22 | # The graph is generated using the cairoplot module. | |
23 | ||
24 | import sys | |
25 | from babeltrace import * | |
26 | from output_format_modules import cairoplot | |
27 | from output_format_modules.pprint_table import pprint_table as pprint | |
28 | ||
29 | # ------------------------------------------------ | |
30 | # Output settings | |
31 | ||
32 | # number of intervals: | |
33 | nbDiv = 25 # Should not be over 150 | |
34 | # for usable graph output | |
35 | ||
36 | # table output stream (file-like object): | |
37 | out = sys.stdout | |
38 | # ------------------------------------------------- | |
39 | ||
40 | if len(sys.argv) < 2 or len(sys.argv) > 4: | |
41 | raise TypeError("Usage: python histogram.py [ start_time [end_time] ] path/to/trace") | |
42 | ||
43 | ctx = Context() | |
44 | ret = ctx.add_trace(sys.argv[len(sys.argv)-1], "ctf") | |
45 | if ret is None: | |
46 | raise IOError("Error adding trace") | |
47 | ||
48 | # Check when to start/stop graphing | |
49 | sinceBegin = True | |
50 | beginTime = 0.0 | |
51 | if len(sys.argv) > 2: | |
52 | sinceBegin = False | |
53 | beginTime = float(sys.argv[1]) | |
54 | untilEnd = True | |
55 | if len(sys.argv) == 4: | |
56 | untilEnd = False | |
57 | ||
58 | # Setting iterator | |
59 | bp = IterPos(SEEK_BEGIN) | |
60 | ctf_it = ctf.Iterator(ctx, bp) | |
61 | ||
62 | # Reading events | |
63 | event = ctf_it.read_event() | |
64 | start_time = event.get_timestamp() | |
65 | time = 0 | |
66 | count = {} | |
67 | ||
68 | while(event is not None): | |
69 | # Microsec. | |
70 | time = (event.get_timestamp() - start_time)/1000.0 | |
71 | ||
72 | # Check if in range | |
73 | if not sinceBegin: | |
74 | if time < beginTime: | |
75 | # Next Event | |
76 | ret = ctf_it.next() | |
77 | if ret < 0: | |
78 | break | |
79 | event = ctf_it.read_event() | |
80 | continue | |
81 | if not untilEnd: | |
82 | if time > float(sys.argv[2]): | |
83 | break | |
84 | ||
85 | # Counting events per timestamp: | |
86 | if time in count: | |
87 | count[time] += 1 | |
88 | else: | |
89 | count[time] = 1 | |
90 | ||
91 | # Next Event | |
92 | ret = ctf_it.next() | |
93 | if ret < 0: | |
94 | break | |
95 | event = ctf_it.read_event() | |
96 | ||
97 | del ctf_it | |
98 | ||
99 | # Setting data for output | |
100 | interval = (time - beginTime)/nbDiv | |
101 | div_begin_time = beginTime | |
102 | div_end_time = beginTime + interval | |
103 | data = {} | |
104 | ||
105 | # Prefix for string sorting, considering | |
106 | # there should not be over 150 intervals. | |
107 | # This would work up to 9999 intervals. | |
108 | # If needed, add zeros. | |
109 | prefix = 0.0001 | |
110 | ||
111 | while div_end_time <= time: | |
112 | key = str(prefix) + '[' + str(div_begin_time) + ';' + str(div_end_time) + '[' | |
113 | for tmp in count: | |
114 | if tmp >= div_begin_time and tmp < div_end_time: | |
115 | if key in data: | |
116 | data[key] += count[tmp] | |
117 | else: | |
118 | data[key] = count[tmp] | |
119 | if not key in data: | |
120 | data[key] = 0 | |
121 | div_begin_time = div_end_time | |
122 | div_end_time += interval | |
123 | # Prefix increment | |
124 | prefix += 0.001 | |
125 | ||
126 | table = [] | |
127 | x_labels = [] | |
128 | for key in sorted(data): | |
129 | table.append([key[key.find('['):], data[key]]) | |
130 | x_labels.append(key[key.find('['):]) | |
131 | ||
132 | # Table output | |
133 | table.insert(0, ["INTERVAL (us)", "COUNT"]) | |
134 | pprint(table, 1, out) | |
135 | ||
136 | # Graph output | |
137 | cairoplot.vertical_bar_plot ( 'histogram.svg', data, 50 + 150*nbDiv, 50*nbDiv, | |
138 | border = 20, display_values = True, grid = True, | |
139 | x_labels = x_labels, rounded_corners = True ) |