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Latency logging 2 (#24058)
* msg_order and gantt * frameId in long/lat planner * track frame id * controls frame id * graph tracked events * graph json * cloudlog timestamp * c++ cloudlog * add frame id * bug fixes * bug fixes * frame id visionicp * bug fixes and debug level * timestamp log placement * print timestamps in table * translate events * more logging * bug fixes * daemon boardd * print logs with boardd * more timestamp logs * cleanup * remove publish logs * bug fix * timestamp received * timestamp received * bug fixes * use json lib * ignore driver camera * prep for new timestamp pipeline * bug fix * read new pipeline unfinnished * read new pipeline * bug fix * add frame to controlsstate * remove controlsstate * print * cleanup * more cleanup + bug fix * clock build issue * remove unused imports * format durations * increase speed * pr comments fixes * conflicts * set MANAGER_DAEMON for boardd * clean script code * bug fix + argparse * remove rcv time * bug fixes * print without tabulate * fix pre-commits * plot gnatt * color bug fix * read without timestampextra * bump panda * mono time instead of frame id * finnish script * clean unused * clean unused logging * monotonic + json fixes * del test * remove whilelines * bump laika * cleanup * remove deps * logs nicer strings * remove plotting from scirpt * reset pipfile * reset pipfile * nicer strings * bug fix * bug fix * pr comments cleaning * remove plotting * bug fix * new demo route * bump opendbc and panda * cereal master * cereal master * script less komplex * assertions * matplotlib * readme * Update README.md * graph html * design fixes * more code design * Update common/logging_extra.py Co-authored-by: Adeeb Shihadeh <adeebshihadeh@gmail.com> * whitespace Co-authored-by: Adeeb Shihadeh <adeebshihadeh@gmail.com> * Update tools/latency_logger/latency_logger.py Co-authored-by: Adeeb Shihadeh <adeebshihadeh@gmail.com> * pr comments * bug fix * readme + env once * clean swaglog * bug fix * Update tools/latencylogger/README.md Co-authored-by: Adeeb Shihadeh <adeebshihadeh@gmail.com> * revert * revert * clean swaglog with error * remove typo file * revert graph * cereal * submodules * whitespaces * update refs Co-authored-by: Bruce Wayne <batman@workstation-openpilot2.internal> Co-authored-by: Comma Device <device@comma.ai> Co-authored-by: Adeeb Shihadeh <adeebshihadeh@gmail.com> old-commit-hash: 65fca83abed98f32993286dc5a66e3e583f06172
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# LatencyLogger
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LatencyLogger is a tool to track the time from first pixel to actuation. Timestamps are printed in a table as well as plotted in a graph. Start openpilot with `LOG_TIMESTAMPS=1` set to enable the necessary logging.
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## Usage
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```
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$ python latency_logger.py -h
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usage: latency_logger.py [-h] [--relative] [--demo] [--plot] [route_or_segment_name]
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A tool for analyzing openpilot's end-to-end latency
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positional arguments:
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route_or_segment_name
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The route to print (default: None)
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optional arguments:
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-h, --help show this help message and exit
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--relative Make timestamps relative to the start of each frame (default: False)
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--demo Use the demo route instead of providing one (default: False)
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--plot If a plot should be generated (default: False)
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```
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## Examples
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Plotting with relative starts each process at time=0 and gives a nice overview.
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Plotting without relative provides info about the frames relative time.
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Printed timestamps of a frame with internal durations.
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```
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Frame ID: 303
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camerad
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roadCameraState start of frame 0.0
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wideRoadCameraState start of frame 0.091926
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RoadCamera: Image set 1.691696
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RoadCamera: Transformed 1.812841
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roadCameraState published 51.775466
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wideRoadCameraState published 54.935164
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roadCameraState.processingTime 1.6455530421808362
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wideRoadCameraState.processingTime 4.790564067661762
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modeld
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Image added 56.628788
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Extra image added 57.459923
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Execution finished 75.091306
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modelV2 published 75.24797
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modelV2.modelExecutionTime 20.00947669148445
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modelV2.gpuExecutionTime 0.0
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plannerd
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lateralPlan published 80.426861
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longitudinalPlan published 85.722781
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lateralPlan.solverExecutionTime 1.0600379901006818
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longitudinalPlan.solverExecutionTime 1.3830000534653664
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controlsd
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Data sampled 89.436221
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Events updated 90.356522
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sendcan published 91.396092
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controlsState published 91.77843
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Data sampled 99.885876
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Events updated 100.696855
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sendcan published 101.600489
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controlsState published 101.941839
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Data sampled 110.087669
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Events updated 111.025365
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sendcan published 112.305921
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controlsState published 112.70451
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Data sampled 119.692803
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Events updated 120.56774
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sendcan published 121.735016
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controlsState published 122.142823
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Data sampled 129.264761
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Events updated 130.024282
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sendcan published 130.950364
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controlsState published 131.281558
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boardd
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sending sendcan to panda: 250027001751393037323631 101.705487
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sendcan sent to panda: 250027001751393037323631 102.042462
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sending sendcan to panda: 250027001751393037323631 112.416961
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sendcan sent to panda: 250027001751393037323631 112.792269
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sending sendcan to panda: 250027001751393037323631 121.850952
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sendcan sent to panda: 250027001751393037323631 122.231103
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sending sendcan to panda: 250027001751393037323631 131.045206
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sendcan sent to panda: 250027001751393037323631 131.351296
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sending sendcan to panda: 250027001751393037323631 141.340592
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sendcan sent to panda: 250027001751393037323631 141.700744
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```
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import argparse
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import json
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import mpld3
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import sys
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from collections import defaultdict
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import matplotlib.pyplot as plt
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from tools.lib.logreader import logreader_from_route_or_segment
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DEMO_ROUTE = "9f583b1d93915c31|2022-04-01--17-51-29"
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SERVICES = ['camerad', 'modeld', 'plannerd', 'controlsd', 'boardd']
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# Retrive controlsd frameId from lateralPlan, mismatch with longitudinalPlan will be ignored
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MONOTIME_KEYS = ['modelMonoTime', 'lateralPlanMonoTime']
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MSGQ_TO_SERVICE = {
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'roadCameraState': 'camerad',
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'wideRoadCameraState': 'camerad',
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'modelV2': 'modeld',
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'lateralPlan': 'plannerd',
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'longitudinalPlan': 'plannerd',
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'sendcan': 'controlsd',
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'controlsState': 'controlsd'
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}
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SERVICE_TO_DURATIONS = {
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'camerad': ['processingTime'],
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'modeld': ['modelExecutionTime', 'gpuExecutionTime'],
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'plannerd': ["solverExecutionTime"],
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}
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def read_logs(lr):
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data = defaultdict(lambda: defaultdict(lambda: defaultdict(list)))
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mono_to_frame = {}
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frame_mismatches = []
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latest_sendcan_monotime = 0
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for msg in lr:
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if msg.which() == 'sendcan':
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latest_sendcan_monotime = msg.logMonoTime
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continue
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if msg.which() in MSGQ_TO_SERVICE:
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service = MSGQ_TO_SERVICE[msg.which()]
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msg_obj = getattr(msg, msg.which())
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frame_id = -1
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if hasattr(msg_obj, "frameId"):
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frame_id = msg_obj.frameId
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else:
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continue_outer = False
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for key in MONOTIME_KEYS:
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if hasattr(msg_obj, key):
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if getattr(msg_obj, key) == 0:
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# Filter out controlsd messages which arrive before the camera loop
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continue_outer = True
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elif getattr(msg_obj, key) in mono_to_frame:
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frame_id = mono_to_frame[getattr(msg_obj, key)]
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if continue_outer:
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continue
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mono_to_frame[msg.logMonoTime] = frame_id
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data['timestamp'][frame_id][service].append((msg.which()+" published", msg.logMonoTime))
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if service in SERVICE_TO_DURATIONS:
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for duration in SERVICE_TO_DURATIONS[service]:
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data['duration'][frame_id][service].append((msg.which()+"."+duration, getattr(msg_obj, duration)))
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if service == SERVICES[0]:
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data['timestamp'][frame_id][service].append((msg.which()+" start of frame", msg_obj.timestampSof))
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elif msg.which() == 'controlsState':
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# Sendcan is published before controlsState, but the frameId is retrived in CS
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data['timestamp'][frame_id][service].append(("sendcan published", latest_sendcan_monotime))
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elif msg.which() == 'modelV2':
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if msg_obj.frameIdExtra != frame_id:
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frame_mismatches.append(frame_id)
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# Failed frameId fetches are stored in -1
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assert sum([len(data['timestamp'][-1][service]) for service in data['timestamp'][-1].keys()]) < 20, "Too many frameId fetch fails"
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del data['timestamp'][-1]
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assert len(frame_mismatches) < 20, "Too many frame mismatches"
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return (data, frame_mismatches)
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def get_min_time(frame_id, service, timestamps, use_max=False):
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return min(timestamps[frame_id][service], key=lambda x: x[1])[1] if not use_max else max(timestamps[frame_id][service], key=lambda x: x[1])[1]
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def get_interval(frame_id, service, timestamps):
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try:
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service_max = get_min_time(frame_id, service, timestamps, use_max=True)
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if service == SERVICES[0]:
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service_min = get_min_time(frame_id, service, timestamps)
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return (service_min, service_max)
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prev_service = SERVICES[SERVICES.index(service)-1]
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prev_service_max = get_min_time(frame_id, prev_service, timestamps, use_max=True)
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return (prev_service_max, service_max)
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except ValueError:
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return (-1,-1)
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def find_frame_id(time, service, timestamps):
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for frame_id in reversed(timestamps):
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start, end = get_interval(frame_id, service, timestamps)
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if start <= time <= end:
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return frame_id
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return -1
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## ASSUMES THAT AT LEAST ONE CLOUDLOG IS MADE IN CONTROLSD
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def insert_cloudlogs(lr, timestamps):
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t0 = get_min_time(min(timestamps.keys()), SERVICES[0], timestamps)
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failed_inserts = 0
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latest_controls_frameid = 0
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for msg in lr:
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if msg.which() == "logMessage":
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jmsg = json.loads(msg.logMessage)
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if "timestamp" in jmsg['msg']:
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time = int(jmsg['msg']['timestamp']['time'])
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service = jmsg['ctx']['daemon']
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event = jmsg['msg']['timestamp']['event']
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if time < t0:
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# Filter out controlsd messages which arrive before the camera loop
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continue
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frame_id = latest_controls_frameid if service == "boardd" else find_frame_id(time, service, timestamps)
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if frame_id > -1:
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timestamps[frame_id][service].append((event, time))
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if service == 'controlsd':
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latest_controls_frameid = frame_id
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else:
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failed_inserts += 1
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assert failed_inserts < len(timestamps), "Too many failed cloudlog inserts"
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def print_timestamps(timestamps, durations ,relative):
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t0 = get_min_time(min(timestamps.keys()), SERVICES[0], timestamps)
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for frame_id in timestamps.keys():
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print('='*80)
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print("Frame ID:", frame_id)
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if relative:
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t0 = get_min_time(frame_id, SERVICES[0], timestamps)
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for service in SERVICES:
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print(" "+service)
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events = timestamps[frame_id][service]
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for event, time in sorted(events, key = lambda x: x[1]):
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print(" "+'%-53s%-53s' %(event, str((time-t0)/1e6)))
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for event, time in durations[frame_id][service]:
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print(" "+'%-53s%-53s' %(event, str(time*1000)))
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def graph_timestamps(timestamps, relative):
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t0 = get_min_time(min(timestamps.keys()), SERVICES[0], timestamps)
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fig, ax = plt.subplots()
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ax.set_xlim(0, 150 if relative else 750)
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ax.set_ylim(0, 15)
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points = {"x": [], "y": [], "labels": []}
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for frame_id, services in timestamps.items():
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if relative:
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t0 = get_min_time(frame_id, SERVICES[0], timestamps)
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service_bars = []
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for service, events in services.items():
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start, end = get_interval(frame_id, service,timestamps)
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service_bars.append(((start-t0)/1e6,(end-start)/1e6))
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for event in events:
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points["x"].append((event[1]-t0)/1e6)
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points["y"].append(frame_id+0.45)
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points["labels"].append(event[0])
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ax.broken_barh(service_bars, (frame_id, 0.9), facecolors=(["blue", 'green', 'red', 'yellow', 'purple']))
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scatter = ax.scatter(points['x'], points['y'], marker="d", edgecolor='black')
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tooltip = mpld3.plugins.PointLabelTooltip(scatter, labels=points["labels"])
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ax.legend()
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mpld3.plugins.connect(fig, tooltip)
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#mpld3.save_html(fig, 'test.html')
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mpld3.show()
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="A tool for analyzing openpilot's end-to-end latency",
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formatter_class = argparse.ArgumentDefaultsHelpFormatter)
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parser.add_argument("--relative", action="store_true", help="Make timestamps relative to the start of each frame")
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parser.add_argument("--demo", action="store_true", help="Use the demo route instead of providing one")
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parser.add_argument("--plot", action="store_true", help="If a plot should be generated")
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parser.add_argument("route_or_segment_name", nargs='?', help="The route to print")
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if len(sys.argv) == 1:
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parser.print_help()
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sys.exit()
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args = parser.parse_args()
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r = DEMO_ROUTE if args.demo else args.route_or_segment_name.strip()
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lr = logreader_from_route_or_segment(r, sort_by_time=True)
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data, frame_mismatches = read_logs(lr)
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lr.reset()
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insert_cloudlogs(lr, data['timestamp'])
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print_timestamps(data['timestamp'], data['duration'], args.relative)
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if args.plot:
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graph_timestamps(data['timestamp'], args.relative)
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@@ -103,13 +103,13 @@ class LogReader:
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yield ent
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def logreader_from_route_or_segment(r):
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def logreader_from_route_or_segment(r, sort_by_time=False):
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sn = SegmentName(r, allow_route_name=True)
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route = Route(sn.route_name.canonical_name)
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if sn.segment_num < 0:
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return MultiLogIterator(route.log_paths())
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return MultiLogIterator(route.log_paths(), sort_by_time)
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else:
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return LogReader(route.log_paths()[sn.segment_num])
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return LogReader(route.log_paths()[sn.segment_num], sort_by_time)
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if __name__ == "__main__":
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