gimp/tools/performance-log-resolve.py
Ell d7c74a615b tools: add performance-log-related tools
performance-log-expand.py decodes a delta-encoded performance log
by expanding the deltas, producing a log where each sample (and
other relevant elements) contain complete information.  Note that
the structure of expanded logs is identical to that of delta-
encoded logs, the expanded log simply has no deltas.

performance-log-resolve.py resolves symbol information in
backtraces.  The logs produced by GIMP only specify the program
counter at each stack frame, providing an address-map to map
program-counter addresses to actual symbols separately.  This tool
looks up each program-counter address in the address map,
incorporating the relevant symbol information directly into the
backtrace.

Both tools read their input from STDIN, and write their output to
STDOUT, and can be chained in a pipeline (with
gimp-performance-log-expand.py appearing first).

Note that these tools require Python 3.
2018-09-02 03:12:09 -04:00

55 lines
1.7 KiB
Python
Executable file

#!/usr/bin/env python3
"""
performance-log-resolve.py -- Resolve GIMP performance log backtrace symbols
Copyright (C) 2018 Ell
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Usage: performance-log-resolve.py < infile > outfile
"""
from xml.etree import ElementTree
import sys
empty_element = ElementTree.Element ("")
# Read performance log from STDIN
log = ElementTree.fromstring (sys.stdin.buffer.read ())
address_map = log.find ("address-map")
if address_map:
# Create address dictionary
addresses = {}
for address in address_map.iterfind ("address"):
addresses[address.get ("value")] = list (address)
# Resolve addresses in backtraces
for sample in (log.find ("samples") or empty_element).iterfind ("sample"):
for thread in sample.find ("backtrace") or ():
for frame in thread:
address = addresses.get (frame.get ("address"))
if address:
frame.text = "\n"
frame.extend (address)
# Remove address map
log.remove (address_map)
# Write performance log to STDOUT
sys.stdout.buffer.write (ElementTree.tostring (log))