blob: 260c711485b536e4bef2fece7d54543ac76085d7 [file] [log] [blame]
#!/usr/bin/env python3
#
# Copyright 2022 The Chromium Authors
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
#
# Usage:
# $ CHROME_REMOTE_DESKTOP_HOST_EXTRA_PARAMS="--webrtc-trace-event-file=/tmp/crd-webrtc-trace" ./out/Default/remoting/chrome-remote-desktop --start -f --child-process 2>/tmp/crd.log
# <kill chrome-remote-desktop with a SIGTERM, it must shut down cleanly or the json file will be truncated>
# $ remoting/tools/webrtc_trace_analyzer.py /tmp/crd-webrtc-trace | less
import dataclasses
import enum
import json
import pprint
import sys
from typing import Any, Dict, Iterable, List, Optional
class Phase(enum.Enum):
BEGIN = 'B'
END = 'E'
INSTANT = 'I'
ASYNC_BEGIN = 'S'
ASYNC_STEP = 'T'
ASYNC_END = 'F'
FLOW_BEGIN = 's'
FLOW_STEP = 't'
FLOW_END = 'f'
METADATA = 'M'
COUNTER = 'C'
@dataclasses.dataclass
class Event:
name: str
cat: str # category, usually (always?) "webrtc"
ts: int # CLOCK_MONOTONIC, microseconds since machine boot
duration: int # microseconds
pid: int
tid: int
args: Dict[str, Any]
@dataclasses.dataclass
class VideoSendEvent(Event):
time_since_last: Optional[int] = None
@classmethod
def from_event(cls, event: Event, time_since_last: Optional[int] = None):
return cls(**dataclasses.asdict(event),
time_since_last=time_since_last)
def analyzer_video(events: Iterable[Event]):
last_send_ts_dict = {}
for event in events:
event_name = event.args.get('step')
last_send_ts = last_send_ts_dict.get(event_name)
if last_send_ts is None:
time_since_last = None
else:
time_since_last = event.ts - last_send_ts
last_send_ts_dict[event_name] = event.ts
yield VideoSendEvent.from_event(event, time_since_last=time_since_last)
ANALYZER_FUNCTIONS = {
'Video': analyzer_video
}
def analyze_events(events: Iterable[Dict[str, Any]]):
analyzed_events: Dict[str, List[Any]] = {}
for event in events:
analyzed_event = Event(name=event['name'],
cat=event['cat'],
ts=event['ts'],
duration=0,
pid=event['pid'],
tid=event['tid'],
args=event.get('args', {}))
if Phase(event['ph']) == Phase.END:
prev_analyzed_event = analyzed_events[analyzed_event.name][-1]
prev_analyzed_event.duration = analyzed_event.ts - prev_analyzed_event.ts
else:
analyzed_events.setdefault(analyzed_event.name, []).append(
analyzed_event)
for name, items in analyzed_events.items():
analyzed_events[name] = list(
ANALYZER_FUNCTIONS.get(name, lambda x: x)(items))
return analyzed_events
def main(argv: List[str]):
if len(argv) != 2:
print(f'Usage: {argv[0]} <trace file>')
sys.exit(2)
with open(argv[1], 'r') as trace_file:
trace_data = json.load(trace_file)
analyzed_events = analyze_events(trace_data['traceEvents'])
pp = pprint.PrettyPrinter(indent=2)
pp.pprint(analyzed_events)
if __name__ == '__main__':
main(sys.argv)