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perf: allow profiling of more than one run...
perf: allow profiling of more than one run By default, we still profile the first run only. However profiling more run help to understand side effect from one run to the other. So we add an option to be able to do so.

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catapipe.py
120 lines | 3.5 KiB | text/x-python | PythonLexer
#!/usr/bin/env python3
#
# Copyright 2018 Google LLC.
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2 or any later version.
"""Tool read primitive events from a pipe to produce a catapult trace.
Usage:
Terminal 1: $ catapipe.py /tmp/mypipe /tmp/trace.json
Terminal 2: $ HGCATAPULTSERVERPIPE=/tmp/mypipe hg root
<ctrl-c catapipe.py in Terminal 1>
$ catapult/tracing/bin/trace2html /tmp/trace.json # produce /tmp/trace.html
<open trace.html in your browser of choice; the WASD keys are very useful>
(catapult is located at https://github.com/catapult-project/catapult)
For now the event stream supports
START $SESSIONID ...
and
END $SESSIONID ...
events. Everything after the SESSIONID (which must not contain spaces)
is used as a label for the event. Events are timestamped as of when
they arrive in this process and are then used to produce catapult
traces that can be loaded in Chrome's about:tracing utility. It's
important that the event stream *into* this process stay simple,
because we have to emit it from the shell scripts produced by
run-tests.py.
Typically you'll want to place the path to the named pipe in the
HGCATAPULTSERVERPIPE environment variable, which both run-tests and hg
understand. To trace *only* run-tests, use HGTESTCATAPULTSERVERPIPE instead.
"""
import argparse
import json
import os
import timeit
_TYPEMAP = {
'START': 'B',
'END': 'E',
'COUNTER': 'C',
}
_threadmap = {}
# Timeit already contains the whole logic about which timer to use based on
# Python version and OS
timer = timeit.default_timer
def main():
parser = argparse.ArgumentParser()
parser.add_argument(
'pipe',
type=str,
nargs=1,
help='Path of named pipe to create and listen on.',
)
parser.add_argument(
'output',
default='trace.json',
type=str,
nargs='?',
help='Path of json file to create where the traces ' 'will be stored.',
)
parser.add_argument(
'--debug',
default=False,
action='store_true',
help='Print useful debug messages',
)
args = parser.parse_args()
fn = args.pipe[0]
os.mkfifo(fn)
try:
with open(fn) as f, open(args.output, 'w') as out:
out.write('[\n')
start = timer()
while True:
ev = f.readline().strip()
if not ev:
continue
now = timer()
if args.debug:
print(ev)
verb, session, label = ev.split(' ', 2)
if session not in _threadmap:
_threadmap[session] = len(_threadmap)
if verb == 'COUNTER':
amount, label = label.split(' ', 1)
payload_args = {'value': int(amount)}
else:
payload_args = {}
pid = _threadmap[session]
ts_micros = (now - start) * 1000000
out.write(
json.dumps(
{
"name": label,
"cat": "misc",
"ph": _TYPEMAP[verb],
"ts": ts_micros,
"pid": pid,
"tid": 1,
"args": payload_args,
}
)
)
out.write(',\n')
finally:
os.unlink(fn)
if __name__ == '__main__':
main()