Add openpilot tools

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FrogAi
2024-01-12 22:39:30 -07:00
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# LatencyLogger
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.
## Usage
```
$ python latency_logger.py -h
usage: latency_logger.py [-h] [--relative] [--demo] [--plot] [route_or_segment_name]
A tool for analyzing openpilot's end-to-end latency
positional arguments:
route_or_segment_name
The route to print (default: None)
optional arguments:
-h, --help show this help message and exit
--relative Make timestamps relative to the start of each frame (default: False)
--demo Use the demo route instead of providing one (default: False)
--plot If a plot should be generated (default: False)
--offset Offset service to better visualize overlap (default: False)
```
To timestamp an event, use `LOGT("msg")` in c++ code or `cloudlog.timestamp("msg")` in python code. If the print is warning for frameId assignment ambiguity, use `LOGT(frameId ,"msg")`.
## Examples
Timestamps are visualized as diamonds
| | Relative | Absolute |
| ------------- | ------------- | ------------- |
| Inline | ![inrel](https://user-images.githubusercontent.com/42323981/170559939-465df3b1-bf87-46d5-b5ee-5cc87dc49470.png) | ![inabs](https://user-images.githubusercontent.com/42323981/170559985-a82f87e7-82c4-4e48-a348-4221568dd589.png) |
| Offset | ![offrel](https://user-images.githubusercontent.com/42323981/170559854-93fba90f-acc4-4d08-b317-d3f8fc649ea8.png) | ![offabs](https://user-images.githubusercontent.com/42323981/170559782-06ed5599-d4e3-4701-ad78-5c1eec6cb61e.png) |
Printed timestamps of a frame with internal durations.
```
Frame ID: 1202
camerad
wideRoadCameraState start of frame 0.0
roadCameraState start of frame 0.049583
wideRoadCameraState published 35.01206
WideRoadCamera: Image set 35.020028
roadCameraState published 38.508261
RoadCamera: Image set 38.520344
RoadCamera: Transformed 38.616176
wideRoadCameraState.processingTime 3.152403049170971
roadCameraState.processingTime 6.453451234847307
modeld
Image added 40.909841
Extra image added 42.515027
Execution finished 63.002552
modelV2 published 63.148747
modelV2.modelExecutionTime 23.62649142742157
modelV2.gpuExecutionTime 0.0
plannerd
lateralPlan published 66.915049
longitudinalPlan published 69.715999
lateralPlan.solverExecutionTime 0.8170719956979156
longitudinalPlan.solverExecutionTime 0.5619999719783664
controlsd
Data sampled 70.217763
Events updated 71.037178
sendcan published 72.278775
controlsState published 72.825226
Data sampled 80.008354
Events updated 80.787666
sendcan published 81.849682
controlsState published 82.238323
Data sampled 90.521123
Events updated 91.626003
sendcan published 93.413218
controlsState published 94.143989
Data sampled 100.991497
Events updated 101.973774
sendcan published 103.565575
controlsState published 104.146088
Data sampled 110.284387
Events updated 111.183541
sendcan published 112.981692
controlsState published 113.731994
boardd
sending sendcan to panda: 250027001751393037323631 81.928119
sendcan sent to panda: 250027001751393037323631 82.164834
sending sendcan to panda: 250027001751393037323631 93.569986
sendcan sent to panda: 250027001751393037323631 93.92795
sending sendcan to panda: 250027001751393037323631 103.689167
sendcan sent to panda: 250027001751393037323631 104.012235
sending sendcan to panda: 250027001751393037323631 113.109555
sendcan sent to panda: 250027001751393037323631 113.525487
sending sendcan to panda: 250027001751393037323631 122.508434
sendcan sent to panda: 250027001751393037323631 122.834314
```

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#!/usr/bin/env python3
import argparse
import json
import matplotlib.patches as mpatches
import matplotlib.pyplot as plt
import mpld3
import sys
from bisect import bisect_left, bisect_right
from collections import defaultdict
from openpilot.tools.lib.logreader import logreader_from_route_or_segment
DEMO_ROUTE = "9f583b1d93915c31|2022-05-18--10-49-51--0"
SERVICES = ['camerad', 'modeld', 'plannerd', 'controlsd', 'boardd']
# Retrieve controlsd frameId from lateralPlan, mismatch with longitudinalPlan will be ignored
MONOTIME_KEYS = ['modelMonoTime', 'lateralPlanMonoTime']
MSGQ_TO_SERVICE = {
'roadCameraState': 'camerad',
'wideRoadCameraState': 'camerad',
'modelV2': 'modeld',
'lateralPlan': 'plannerd',
'longitudinalPlan': 'plannerd',
'sendcan': 'controlsd',
'controlsState': 'controlsd'
}
SERVICE_TO_DURATIONS = {
'camerad': ['processingTime'],
'modeld': ['modelExecutionTime', 'gpuExecutionTime'],
'plannerd': ['solverExecutionTime'],
}
def read_logs(lr):
data = defaultdict(lambda: defaultdict(lambda: defaultdict(list)))
mono_to_frame = {}
frame_mismatches = []
frame_id_fails = 0
latest_sendcan_monotime = 0
for msg in lr:
if msg.which() == 'sendcan':
latest_sendcan_monotime = msg.logMonoTime
continue
if msg.which() in MSGQ_TO_SERVICE:
service = MSGQ_TO_SERVICE[msg.which()]
msg_obj = getattr(msg, msg.which())
frame_id = -1
if hasattr(msg_obj, "frameId"):
frame_id = msg_obj.frameId
else:
continue_outer = False
for key in MONOTIME_KEYS:
if hasattr(msg_obj, key):
if getattr(msg_obj, key) == 0:
# Filter out controlsd messages which arrive before the camera loop
continue_outer = True
elif getattr(msg_obj, key) in mono_to_frame:
frame_id = mono_to_frame[getattr(msg_obj, key)]
if continue_outer:
continue
if frame_id == -1:
frame_id_fails += 1
continue
mono_to_frame[msg.logMonoTime] = frame_id
data['timestamp'][frame_id][service].append((msg.which()+" published", msg.logMonoTime))
next_service = SERVICES[SERVICES.index(service)+1]
if not data['start'][frame_id][next_service]:
data['start'][frame_id][next_service] = msg.logMonoTime
data['end'][frame_id][service] = msg.logMonoTime
if service in SERVICE_TO_DURATIONS:
for duration in SERVICE_TO_DURATIONS[service]:
data['duration'][frame_id][service].append((msg.which()+"."+duration, getattr(msg_obj, duration)))
if service == SERVICES[0]:
data['timestamp'][frame_id][service].append((msg.which()+" start of frame", msg_obj.timestampSof))
if not data['start'][frame_id][service]:
data['start'][frame_id][service] = msg_obj.timestampSof
elif msg.which() == 'controlsState':
# Sendcan is published before controlsState, but the frameId is retrieved in CS
data['timestamp'][frame_id][service].append(("sendcan published", latest_sendcan_monotime))
elif msg.which() == 'modelV2':
if msg_obj.frameIdExtra != frame_id:
frame_mismatches.append(frame_id)
if frame_id_fails > 20:
print("Warning, many frameId fetch fails", frame_id_fails)
if len(frame_mismatches) > 20:
print("Warning, many frame mismatches", len(frame_mismatches))
return (data, frame_mismatches)
# This is not needed in 3.10 as a "key" parameter is added to bisect
class KeyifyList(object):
def __init__(self, inner, key):
self.inner = inner
self.key = key
def __len__(self):
return len(self.inner)
def __getitem__(self, k):
return self.key(self.inner[k])
def find_frame_id(time, service, start_times, end_times):
left = bisect_left(KeyifyList(list(start_times.items()),
lambda x: x[1][service] if x[1][service] else -1), time) - 1
right = bisect_right(KeyifyList(list(end_times.items()),
lambda x: x[1][service] if x[1][service] else float("inf")), time)
return left, right
def find_t0(start_times, frame_id=-1):
frame_id = frame_id if frame_id > -1 else min(start_times.keys())
m = max(start_times.keys())
while frame_id <= m:
for service in SERVICES:
if start_times[frame_id][service]:
return start_times[frame_id][service]
frame_id += 1
raise Exception('No start time has been set')
def insert_cloudlogs(lr, timestamps, start_times, end_times):
# at least one cloudlog must be made in controlsd
t0 = find_t0(start_times)
failed_inserts = 0
latest_controls_frameid = 0
for msg in lr:
if msg.which() == "logMessage":
jmsg = json.loads(msg.logMessage)
if "timestamp" in jmsg['msg']:
time = int(jmsg['msg']['timestamp']['time'])
service = jmsg['ctx']['daemon']
event = jmsg['msg']['timestamp']['event']
if time < t0:
# Filter out controlsd messages which arrive before the camera loop
continue
if "frame_id" in jmsg['msg']['timestamp']:
timestamps[int(jmsg['msg']['timestamp']['frame_id'])][service].append((event, time))
continue
if service == "boardd":
timestamps[latest_controls_frameid][service].append((event, time))
end_times[latest_controls_frameid][service] = time
else:
frame_id = find_frame_id(time, service, start_times, end_times)
if frame_id:
if frame_id[0] != frame_id[1]:
event += " (warning: ambiguity)"
frame_id = frame_id[0]
if service == 'controlsd':
latest_controls_frameid = frame_id
timestamps[frame_id][service].append((event, time))
else:
failed_inserts += 1
if latest_controls_frameid == 0:
print("Warning: failed to bind boardd logs to a frame ID. Add a timestamp cloudlog in controlsd.")
elif failed_inserts > len(timestamps):
print(f"Warning: failed to bind {failed_inserts} cloudlog timestamps to a frame ID")
def print_timestamps(timestamps, durations, start_times, relative):
t0 = find_t0(start_times)
for frame_id in timestamps.keys():
print('='*80)
print("Frame ID:", frame_id)
if relative:
t0 = find_t0(start_times, frame_id)
for service in SERVICES:
print(" "+service)
events = timestamps[frame_id][service]
for event, time in sorted(events, key = lambda x: x[1]):
print(" "+'%-53s%-53s' %(event, str((time-t0)/1e6)))
for event, time in durations[frame_id][service]:
print(" "+'%-53s%-53s' %(event, str(time*1000)))
def graph_timestamps(timestamps, start_times, end_times, relative, offset_services=False, title=""):
# mpld3 doesn't convert properly to D3 font sizes
plt.rcParams.update({'font.size': 18})
t0 = find_t0(start_times)
fig, ax = plt.subplots()
ax.set_xlim(0, 130 if relative else 750)
ax.set_ylim(0, 17)
ax.set_xlabel('Time (milliseconds)')
colors = ['blue', 'green', 'red', 'yellow', 'purple']
offsets = [[0, -5*j] for j in range(len(SERVICES))] if offset_services else None
height = 0.3 if offset_services else 0.9
assert len(colors) == len(SERVICES), 'Each service needs a color'
points = {"x": [], "y": [], "labels": []}
for i, (frame_id, services) in enumerate(timestamps.items()):
if relative:
t0 = find_t0(start_times, frame_id)
service_bars = []
for service, events in services.items():
if start_times[frame_id][service] and end_times[frame_id][service]:
start = start_times[frame_id][service]
end = end_times[frame_id][service]
service_bars.append(((start-t0)/1e6,(end-start)/1e6))
for event in events:
points['x'].append((event[1]-t0)/1e6)
points['y'].append(i)
points['labels'].append(event[0])
ax.broken_barh(service_bars, (i-height/2, height), facecolors=(colors), alpha=0.5, offsets=offsets)
scatter = ax.scatter(points['x'], points['y'], marker='d', edgecolor='black')
tooltip = mpld3.plugins.PointLabelTooltip(scatter, labels=points['labels'])
mpld3.plugins.connect(fig, tooltip)
plt.title(title)
# Set size relative window size is not trivial: https://github.com/mpld3/mpld3/issues/65
fig.set_size_inches(18, 9)
plt.legend(handles=[mpatches.Patch(color=colors[i], label=SERVICES[i]) for i in range(len(SERVICES))])
return fig
def get_timestamps(lr):
lr = list(lr)
data, frame_mismatches = read_logs(lr)
insert_cloudlogs(lr, data['timestamp'], data['start'], data['end'])
return data, frame_mismatches
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="A tool for analyzing openpilot's end-to-end latency",
formatter_class = argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument("--relative", action="store_true", help="Make timestamps relative to the start of each frame")
parser.add_argument("--demo", action="store_true", help="Use the demo route instead of providing one")
parser.add_argument("--plot", action="store_true", help="If a plot should be generated")
parser.add_argument("--offset", action="store_true", help="Vertically offset service to better visualize overlap")
parser.add_argument("route_or_segment_name", nargs='?', help="The route to print")
if len(sys.argv) == 1:
parser.print_help()
sys.exit()
args = parser.parse_args()
r = DEMO_ROUTE if args.demo else args.route_or_segment_name.strip()
lr = logreader_from_route_or_segment(r, sort_by_time=True)
data, _ = get_timestamps(lr)
print_timestamps(data['timestamp'], data['duration'], data['start'], args.relative)
if args.plot:
mpld3.show(graph_timestamps(data['timestamp'], data['start'], data['end'], args.relative, offset_services=args.offset, title=r))