open source driving agent
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#!/usr/bin/env python3
import argparse
import bz2
from collections import defaultdict
import matplotlib.pyplot as plt
from openpilot.tools.lib.logreader import LogReader
MIN_SIZE = 0.5 # Percent size of total to show as separate entry
def make_pie(msgs, typ):
msgs_by_type = defaultdict(list)
for m in msgs:
msgs_by_type[m.which()].append(m.as_builder().to_bytes())
length_by_type = {k: len(b"".join(v)) for k, v in msgs_by_type.items()}
compressed_length_by_type = {k: len(bz2.compress(b"".join(v))) for k, v in msgs_by_type.items()}
total = sum(compressed_length_by_type.values())
uncompressed_total = len(b"".join([m.as_builder().to_bytes() for m in msgs]))
sizes = sorted(compressed_length_by_type.items(), key=lambda kv: kv[1])
print("name - comp. size (uncomp. size)")
for (name, sz) in sizes:
print(f"{name:<22} - {sz / 1024:.2f} kB ({length_by_type[name] / 1024:.2f} kB)")
print()
print(f"{typ} - Total {total / 1024:.2f} kB")
print(f"{typ} - Uncompressed total {uncompressed_total / 1024 / 1024:.2f} MB")
sizes_large = [(k, sz) for (k, sz) in sizes if sz >= total * MIN_SIZE / 100]
sizes_large += [('other', sum(sz for (_, sz) in sizes if sz < total * MIN_SIZE / 100))]
labels, sizes = zip(*sizes_large, strict=True)
plt.figure()
plt.title(f"{typ}")
plt.pie(sizes, labels=labels, autopct='%1.1f%%')
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='View log size breakdown by message type')
parser.add_argument('route', help='route to use')
args = parser.parse_args()
msgs = list(LogReader(args.route))
make_pie(msgs, 'qlog')
plt.show()