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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.
106 lines
3.1 KiB
Python
Executable file
106 lines
3.1 KiB
Python
Executable file
#!/usr/bin/env python3
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"""
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performance-log-expand.py -- Delta-decodes GIMP performance logs
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Copyright (C) 2018 Ell
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This program is free software: you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation; either version 3 of the License, or
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(at your option) any later version.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with this program. If not, see <https://www.gnu.org/licenses/>.
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Usage: performance-log-expand.py < infile > outfile
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"""
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from xml.etree import ElementTree
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import sys
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empty_element = ElementTree.Element ("")
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# Read performance log from STDIN
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log = ElementTree.fromstring (sys.stdin.buffer.read ())
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try:
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has_backtrace = bool (int (log.find ("params").find ("backtrace").text))
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except:
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has_backtrace = False
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def expand_simple (element, last_values):
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last_values.update ({value.tag: value.text for value in element})
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for value in list (element):
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element.remove (value)
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for tag, text in last_values.items ():
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value = ElementTree.SubElement (element, tag)
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value.text = text
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value.tail = "\n"
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# Expand samples
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last_vars = {}
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last_backtrace = {}
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for sample in (log.find ("samples") or empty_element).iterfind ("sample"):
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# Expand variables
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vars = sample.find ("vars") or \
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ElementTree.SubElement (sample, "vars")
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expand_simple (vars, last_vars)
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# Expand backtrace
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if has_backtrace:
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backtrace = sample.find ("backtrace") or \
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ElementTree.SubElement (sample, "backtrace")
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for thread in backtrace:
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id = thread.get ("id")
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frames = list (thread)
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if not frames:
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last_backtrace.pop (id, None)
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else:
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last_thread = last_backtrace.setdefault (id, [None, []])
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last_frames = last_thread[1]
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name = thread.get ("name")
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head = thread.get ("head")
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tail = thread.get ("tail")
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if head:
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frames = last_frames[:int (head)] + frames
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if tail:
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frames = frames + last_frames[-int (tail):]
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last_thread[0] = name
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last_thread[1] = frames
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for thread in list (backtrace):
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backtrace.remove (thread)
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for id, (name, frames) in last_backtrace.items ():
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thread = ElementTree.SubElement (backtrace, "thread", id=id)
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thread.text = "\n"
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thread.tail = "\n"
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if name:
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thread.set ("name", name)
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thread.extend (frames)
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# Expand address map
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last_address = {}
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for address in (log.find ("address-map") or empty_element).iterfind ("address"):
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expand_simple (address, last_address)
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# Write performance log to STDOUT
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sys.stdout.buffer.write (ElementTree.tostring (log))
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