| 1 | # events_per_cpu.py |
| 2 | # |
| 3 | # Babeltrace events per cpu 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 opens a trace and prints out CPU statistics |
| 20 | # for the given trace (event count per CPU, total active |
| 21 | # time and % of time processing events). |
| 22 | # It also outputs a .txt file showing each time interval |
| 23 | # (since the beginning of the trace) in which each CPU |
| 24 | # was active and the corresponding event. |
| 25 | |
| 26 | import sys, multiprocessing |
| 27 | from output_format_modules.pprint_table import pprint_table as pprint |
| 28 | from babeltrace import * |
| 29 | |
| 30 | if len(sys.argv) < 2: |
| 31 | raise TypeError("Usage: python events_per_cpu.py path/to/trace") |
| 32 | |
| 33 | # Adding trace |
| 34 | ctx = Context() |
| 35 | ret = ctx.add_trace(sys.argv[1], "ctf") |
| 36 | if ret is None: |
| 37 | raise IOError("Error adding trace") |
| 38 | |
| 39 | cpu_usage = [] |
| 40 | nbEvents = 0 |
| 41 | i = 0 |
| 42 | while i < multiprocessing.cpu_count(): |
| 43 | cpu_usage.append([]) |
| 44 | i += 1 |
| 45 | |
| 46 | # Setting iterator |
| 47 | bp = IterPos(SEEK_BEGIN) |
| 48 | ctf_it = ctf.Iterator(ctx, bp) |
| 49 | |
| 50 | # Reading events |
| 51 | event = ctf_it.read_event() |
| 52 | start_time = event.get_timestamp() |
| 53 | |
| 54 | while(event is not None): |
| 55 | |
| 56 | event_name = event.get_name() |
| 57 | ts = event.get_timestamp() |
| 58 | |
| 59 | # Getting cpu_id |
| 60 | scope = event.get_top_level_scope(ctf.scope.STREAM_PACKET_CONTEXT) |
| 61 | field = event.get_field(scope, "cpu_id") |
| 62 | cpu_id = field.get_uint64() |
| 63 | if ctf.field_error(): |
| 64 | print("ERROR: Missing cpu_id info for {}".format(event.get_name())) |
| 65 | else: |
| 66 | cpu_usage[cpu_id].append( (int(ts), event_name) ) |
| 67 | nbEvents += 1 |
| 68 | |
| 69 | # Next Event |
| 70 | ret = ctf_it.next() |
| 71 | if ret < 0: |
| 72 | break |
| 73 | event = ctf_it.read_event() |
| 74 | |
| 75 | |
| 76 | # Outputting |
| 77 | table = [] |
| 78 | output = open("events_per_cpu.txt", "wt") |
| 79 | output.write("(timestamp, event)\n") |
| 80 | |
| 81 | for cpu in range(len(cpu_usage)): |
| 82 | # Setting table |
| 83 | event_str = str(100.0 * len(cpu_usage[cpu]) / nbEvents) + '000' |
| 84 | # % is printed with 2 decimals |
| 85 | table.append([cpu, len(cpu_usage[cpu]), event_str[0:event_str.find('.') + 3] + ' %']) |
| 86 | |
| 87 | # Writing to file |
| 88 | output.write("\n\n\n----------------------\n") |
| 89 | output.write("CPU {}\n\n".format(cpu)) |
| 90 | for event in cpu_usage[cpu]: |
| 91 | output.write(str(event) + '\n') |
| 92 | |
| 93 | # Printing table |
| 94 | table.insert(0, ["CPU ID", "EVENT COUNT", "TRACE EVENT %"]) |
| 95 | pprint(table) |
| 96 | print("Total event count: {}".format(nbEvents)) |
| 97 | print("Total trace time: {} ns".format(ts - start_time)) |
| 98 | |
| 99 | output.close() |