| #!/usr/bin/env python |
| # |
| # 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 os |
| import subprocess |
| import sys |
| |
| # 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 utils import log_exit, log_info, AdbHelper, open_report_in_browser |
| |
| from data_types import Process |
| from svg_renderer import get_proper_scaled_time_string, render_svg |
| |
| |
| 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)] |
| else: |
| log_exit("Please set profiling target with -p, -np or --pid 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.") |
| log_info("Using event sampling (-c %s -e %s)." % (num_events, event_name)) |
| else: |
| record_arg_str += "-f %d " % args.sample_frequency |
| log_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) |
| 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) |
| |
| log_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 : %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('-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('--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.') |
| |
| 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 = '' |
| |
| process.name = args.app or args.native_program or ('Process %d' % args.pid) |
| log_info("Starting data collection stage for process '%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)' |
| |
| 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) |
| |
| log_info("Flamegraph generated at '%s'." % report_path) |
| |
| if __name__ == "__main__": |
| main() |
