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#!/usr/bin/env python3
#
# Copyright (C) 2016 The Android Open Source Project
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
"""
Inferno is a tool to generate flamegraphs for android programs. It was originally written
to profile surfaceflinger (Android compositor) but it can be used for other C++ program.
It uses simpleperf to collect data. Programs have to be compiled with frame pointers which
excludes ART based programs for the time being.
Here is how it works:
1/ Data collection is started via simpleperf and pulled locally as "perf.data".
2/ The raw format is parsed, callstacks are merged to form a flamegraph data structure.
3/ The data structure is used to generate a SVG embedded into an HTML page.
4/ Javascript is injected to allow flamegraph navigation, search, coloring model.
"""
import argparse
import datetime
import logging
import os
import subprocess
import sys
# fmt: off
# pylint: disable=wrong-import-position
SCRIPTS_PATH = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
sys.path.append(SCRIPTS_PATH)
from simpleperf_report_lib import ReportLib
from simpleperf_utils import log_exit, log_fatal, AdbHelper, open_report_in_browser
from data_types import Process
from svg_renderer import get_proper_scaled_time_string, render_svg
# fmt: on
def collect_data(args):
""" Run app_profiler.py to generate record file. """
app_profiler_args = [sys.executable, os.path.join(SCRIPTS_PATH, "app_profiler.py"), "-nb"]
if args.app:
app_profiler_args += ["-p", args.app]
elif args.native_program:
app_profiler_args += ["-np", args.native_program]
elif args.pid != -1:
app_profiler_args += ['--pid', str(args.pid)]
elif args.system_wide:
app_profiler_args += ['--system_wide']
else:
log_exit("Please set profiling target with -p, -np, --pid or --system_wide option.")
if args.compile_java_code:
app_profiler_args.append("--compile_java_code")
if args.disable_adb_root:
app_profiler_args.append("--disable_adb_root")
record_arg_str = ""
if args.dwarf_unwinding:
record_arg_str += "-g "
else:
record_arg_str += "--call-graph fp "
if args.events:
tokens = args.events.split()
if len(tokens) == 2:
num_events = tokens[0]
event_name = tokens[1]
record_arg_str += "-c %s -e %s " % (num_events, event_name)
else:
log_exit("Event format string of -e option cann't be recognized.")
logging.info("Using event sampling (-c %s -e %s)." % (num_events, event_name))
else:
record_arg_str += "-f %d " % args.sample_frequency
logging.info("Using frequency sampling (-f %d)." % args.sample_frequency)
record_arg_str += "--duration %d " % args.capture_duration
app_profiler_args += ["-r", record_arg_str]
returncode = subprocess.call(app_profiler_args)
return returncode == 0
def parse_samples(process, args, sample_filter_fn):
"""Read samples from record file.
process: Process object
args: arguments
sample_filter_fn: if not None, is used to modify and filter samples.
It returns false for samples should be filtered out.
"""
record_file = args.record_file
symfs_dir = args.symfs
kallsyms_file = args.kallsyms
lib = ReportLib()
lib.ShowIpForUnknownSymbol()
if symfs_dir:
lib.SetSymfs(symfs_dir)
if record_file:
lib.SetRecordFile(record_file)
if kallsyms_file:
lib.SetKallsymsFile(kallsyms_file)
if args.show_art_frames:
lib.ShowArtFrames(True)
for file_path in args.proguard_mapping_file or []:
lib.AddProguardMappingFile(file_path)
process.cmd = lib.GetRecordCmd()
product_props = lib.MetaInfo().get("product_props")
if product_props:
manufacturer, model, name = product_props.split(':')
process.props['ro.product.manufacturer'] = manufacturer
process.props['ro.product.model'] = model
process.props['ro.product.name'] = name
if lib.MetaInfo().get('trace_offcpu') == 'true':
process.props['trace_offcpu'] = True
if args.one_flamegraph:
log_exit("It doesn't make sense to report with --one-flamegraph for perf.data " +
"recorded with --trace-offcpu.""")
else:
process.props['trace_offcpu'] = False
while True:
sample = lib.GetNextSample()
if sample is None:
lib.Close()
break
symbol = lib.GetSymbolOfCurrentSample()
callchain = lib.GetCallChainOfCurrentSample()
if sample_filter_fn and not sample_filter_fn(sample, symbol, callchain):
continue
process.add_sample(sample, symbol, callchain)
if process.pid == 0:
main_threads = [thread for thread in process.threads.values() if thread.tid == thread.pid]
if main_threads:
process.name = main_threads[0].name
process.pid = main_threads[0].pid
for thread in process.threads.values():
min_event_count = thread.num_events * args.min_callchain_percentage * 0.01
thread.flamegraph.trim_callchain(min_event_count, args.max_callchain_depth)
logging.info("Parsed %s callchains." % process.num_samples)
def get_local_asset_content(local_path):
"""
Retrieves local package text content
:param local_path: str, filename of local asset
:return: str, the content of local_path
"""
with open(os.path.join(os.path.dirname(__file__), local_path), 'r') as f:
return f.read()
def output_report(process, args):
"""
Generates a HTML report representing the result of simpleperf sampling as flamegraph
:param process: Process object
:return: str, absolute path to the file
"""
f = open(args.report_path, 'w')
filepath = os.path.realpath(f.name)
if not args.embedded_flamegraph:
f.write("<html><body>")
f.write("<div id='flamegraph_id' style='font-family: Monospace; %s'>" % (
"display: none;" if args.embedded_flamegraph else ""))
f.write("""<style type="text/css"> .s { stroke:black; stroke-width:0.5; cursor:pointer;}
</style>""")
f.write('<style type="text/css"> .t:hover { cursor:pointer; } </style>')
f.write('<img height="180" alt = "Embedded Image" src ="data')
f.write(get_local_asset_content("inferno.b64"))
f.write('"/>')
process_entry = ("Process : %s (%d)<br/>" % (process.name, process.pid)) if process.pid else ""
thread_entry = '' if args.one_flamegraph else ('Threads: %d<br/>' % len(process.threads))
if process.props['trace_offcpu']:
event_entry = 'Total time: %s<br/>' % get_proper_scaled_time_string(process.num_events)
else:
event_entry = 'Event count: %s<br/>' % ("{:,}".format(process.num_events))
# TODO: collect capture duration info from perf.data.
duration_entry = ("Duration: %s seconds<br/>" % args.capture_duration
) if args.capture_duration else ""
f.write("""<div style='display:inline-block;'>
<font size='8'>
Inferno Flamegraph Report%s</font><br/><br/>
%s
Date&nbsp;&nbsp;&nbsp;&nbsp;: %s<br/>
%s
Samples : %d<br/>
%s
%s""" % ((': ' + args.title) if args.title else '',
process_entry,
datetime.datetime.now().strftime("%Y-%m-%d (%A) %H:%M:%S"),
thread_entry,
process.num_samples,
event_entry,
duration_entry))
if 'ro.product.model' in process.props:
f.write(
"Machine : %s (%s) by %s<br/>" %
(process.props["ro.product.model"],
process.props["ro.product.name"],
process.props["ro.product.manufacturer"]))
if process.cmd:
f.write("Capture : %s<br/><br/>" % process.cmd)
f.write("</div>")
f.write("""<br/><br/>
<div>Navigate with WASD, zoom in with SPACE, zoom out with BACKSPACE.</div>""")
f.write("<script>%s</script>" % get_local_asset_content("script.js"))
if not args.embedded_flamegraph:
f.write("<script>document.addEventListener('DOMContentLoaded', flamegraphInit);</script>")
# Sort threads by the event count in a thread.
for thread in sorted(process.threads.values(), key=lambda x: x.num_events, reverse=True):
thread_name = 'One flamegraph' if args.one_flamegraph else ('Thread %d (%s)' %
(thread.tid, thread.name))
f.write("<br/><br/><b>%s (%d samples):</b><br/>\n\n\n\n" %
(thread_name, thread.num_samples))
render_svg(process, thread.flamegraph, f, args.color)
f.write("</div>")
if not args.embedded_flamegraph:
f.write("</body></html")
f.close()
return "file://" + filepath
def generate_threads_offsets(process):
for thread in process.threads.values():
thread.flamegraph.generate_offset(0)
def collect_machine_info(process):
adb = AdbHelper()
process.props = {}
process.props['ro.product.model'] = adb.get_property('ro.product.model')
process.props['ro.product.name'] = adb.get_property('ro.product.name')
process.props['ro.product.manufacturer'] = adb.get_property('ro.product.manufacturer')
def main():
# Allow deep callchain with length >1000.
sys.setrecursionlimit(1500)
parser = argparse.ArgumentParser(description="""Report samples in perf.data. Default option
is: "-np surfaceflinger -f 6000 -t 10".""")
record_group = parser.add_argument_group('Record options')
record_group.add_argument('-du', '--dwarf_unwinding', action='store_true', help="""Perform
unwinding using dwarf instead of fp.""")
record_group.add_argument('-e', '--events', default="", help="""Sample based on event
occurences instead of frequency. Format expected is
"event_counts event_name". e.g: "10000 cpu-cyles". A few examples
of event_name: cpu-cycles, cache-references, cache-misses,
branch-instructions, branch-misses""")
record_group.add_argument('-f', '--sample_frequency', type=int, default=6000, help="""Sample
frequency""")
record_group.add_argument('--compile_java_code', action='store_true',
help="""On Android N and Android O, we need to compile Java code
into native instructions to profile Java code. Android O
also needs wrap.sh in the apk to use the native
instructions.""")
record_group.add_argument('-np', '--native_program', default="surfaceflinger", help="""Profile
a native program. The program should be running on the device.
Like -np surfaceflinger.""")
record_group.add_argument('-p', '--app', help="""Profile an Android app, given the package
name. Like -p com.example.android.myapp.""")
record_group.add_argument('--pid', type=int, default=-1, help="""Profile a native program
with given pid, the pid should exist on the device.""")
record_group.add_argument('--record_file', default='perf.data', help='Default is perf.data.')
record_group.add_argument('-sc', '--skip_collection', action='store_true', help="""Skip data
collection""")
record_group.add_argument('--system_wide', action='store_true', help='Profile system wide.')
record_group.add_argument('-t', '--capture_duration', type=int, default=10, help="""Capture
duration in seconds.""")
report_group = parser.add_argument_group('Report options')
report_group.add_argument('-c', '--color', default='hot', choices=['hot', 'dso', 'legacy'],
help="""Color theme: hot=percentage of samples, dso=callsite DSO
name, legacy=brendan style""")
report_group.add_argument('--embedded_flamegraph', action='store_true', help="""Generate
embedded flamegraph.""")
report_group.add_argument('--kallsyms', help='Set the path to find kernel symbols.')
report_group.add_argument('--min_callchain_percentage', default=0.01, type=float, help="""
Set min percentage of callchains shown in the report.
It is used to limit nodes shown in the flamegraph. For example,
when set to 0.01, only callchains taking >= 0.01%% of the event
count of the owner thread are collected in the report.""")
report_group.add_argument('--max_callchain_depth', default=1000000000, type=int, help="""
Set maximum depth of callchains shown in the report. It is used
to limit the nodes shown in the flamegraph and avoid processing
limits. For example, when set to 10, callstacks will be cut after
the tenth frame.""")
report_group.add_argument('--no_browser', action='store_true', help="""Don't open report
in browser.""")
report_group.add_argument('-o', '--report_path', default='report.html', help="""Set report
path.""")
report_group.add_argument('--one-flamegraph', action='store_true', help="""Generate one
flamegraph instead of one for each thread.""")
report_group.add_argument('--symfs', help="""Set the path to find binaries with symbols and
debug info.""")
report_group.add_argument('--title', help='Show a title in the report.')
report_group.add_argument('--show_art_frames', action='store_true',
help='Show frames of internal methods in the ART Java interpreter.')
report_group.add_argument('--proguard-mapping-file', nargs='+',
help='Add proguard mapping file to de-obfuscate symbols')
debug_group = parser.add_argument_group('Debug options')
debug_group.add_argument('--disable_adb_root', action='store_true', help="""Force adb to run
in non root mode.""")
args = parser.parse_args()
process = Process("", 0)
if not args.skip_collection:
if args.pid != -1:
process.pid = args.pid
args.native_program = ''
if args.system_wide:
process.pid = -1
args.native_program = ''
if args.system_wide:
process.name = 'system_wide'
else:
process.name = args.app or args.native_program or ('Process %d' % args.pid)
logging.info("Starting data collection stage for '%s'." % process.name)
if not collect_data(args):
log_exit("Unable to collect data.")
if process.pid == 0:
result, output = AdbHelper().run_and_return_output(['shell', 'pidof', process.name])
if result:
try:
process.pid = int(output)
except ValueError:
process.pid = 0
collect_machine_info(process)
else:
args.capture_duration = 0
sample_filter_fn = None
if args.one_flamegraph:
def filter_fn(sample, _symbol, _callchain):
sample.pid = sample.tid = process.pid
return True
sample_filter_fn = filter_fn
if not args.title:
args.title = ''
args.title += '(One Flamegraph)'
try:
parse_samples(process, args, sample_filter_fn)
generate_threads_offsets(process)
report_path = output_report(process, args)
if not args.no_browser:
open_report_in_browser(report_path)
except RuntimeError as r:
if 'maximum recursion depth' in r.__str__():
log_fatal("Recursion limit exceeded (%s), try --max_callchain_depth." % r)
raise r
logging.info("Flamegraph generated at '%s'." % report_path)
if __name__ == "__main__":
main()