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58 lines
2.2 KiB
Python
58 lines
2.2 KiB
Python
7 years ago
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#!/usr/bin/env python
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# Copyright 2017, David Wilson
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#
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions are met:
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#
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# 1. Redistributions of source code must retain the above copyright notice, this
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# list of conditions and the following disclaimer.
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#
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# 2. Redistributions in binary form must reproduce the above copyright notice,
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# this list of conditions and the following disclaimer in the documentation
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# and/or other materials provided with the distribution.
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#
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# 3. Neither the name of the copyright holder nor the names of its contributors
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# may be used to endorse or promote products derived from this software without
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# specific prior written permission.
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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"""
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Read a CSV produced by profile_ansible.d on stdin and produce a 100ms-precision
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series of accumulated CPU time on stdout, with floating point second-resolution
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timestamps relative to time of first event.
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"""
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import collections
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import csv
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import sys
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nanosec = 1e9
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precision = 1
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c = collections.Counter()
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wall = 0
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for row in csv.DictReader(sys.stdin):
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n = float(row['wall_nsec']) / nanosec
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if wall == 0:
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wall = n
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if row['op'] == 'SCHED':
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c[round(n-wall, precision)] += int(row['cpu_nsec'])
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wr = csv.writer(sys.stdout)
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wr.writerow(['wall', 'cpu'])
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total = 0.0
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for wall, cpu in sorted(c.iteritems()):
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total += cpu
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wr.writerow((wall, total))
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