openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 200 supported car makes and models.
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#!/usr/bin/env python3
import argparse
import bz2
import zstd
import lz4.frame
import zlib
from collections import defaultdict
import matplotlib.pyplot as plt
from cereal.services import SERVICE_LIST
from openpilot.tools.lib.logreader import LogReader
from openpilot.tools.lib.route import Route
from tqdm import tqdm
MIN_SIZE = 0.5 # Percent size of total to show as separate entry
def compress(data):
# return lz4.frame.compress(data)
# return zlib.compress(data)
# return bz2.compress(data)
return zstd.compress(data)
def make_pie(msgs, typ):
msgs_by_type = defaultdict(list)
print(len(msgs))
for m in msgs:
# # print(dir(m.as_builder()))
# print(m.which())
# print(len(m.as_builder().to_bytes()))
# print(len(m.as_builder().to_bytes_packed()))
# break
msgs_by_type[m.which()].append(m.as_builder().to_bytes_packed())
length_by_type = {k: len(b"".join(v)) for k, v in msgs_by_type.items()}
compressed_length_by_type = {k: len(compress(b"".join(v))) for k, v in msgs_by_type.items()}
compressed_length_by_type_v2 = {}
total = sum(compressed_length_by_type.values())
real_total = len(compress(b"".join([m.as_builder().to_bytes_packed() for m in msgs])))
uncompressed_total = len(b"".join([m.as_builder().to_bytes_packed() for m in msgs]))
for k in tqdm(msgs_by_type.keys()):
compressed_length_by_type_v2[k] = real_total - len(compress(b"".join([m.as_builder().to_bytes_packed() for m in msgs if m.which() != k])))
# print(k, compressed_length_by_type_v2[k])
sizes = sorted(compressed_length_by_type.items(), key=lambda kv: kv[1])
# sizes = sorted(compressed_length_by_type_v2.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 / {compressed_length_by_type_v2[name] / 1024:.2f} kB ({length_by_type[name] / 1024:.2f} kB)")
print()
print(f"{typ} - Total {total / 1024:.2f} kB")
print(f"{typ} - Real {real_total / 1024:.2f} kB")
print(f"{typ} - Simulated total (v2) {sum(compressed_length_by_type_v2.values()) / 1024:.2f} MB")
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='Check qlog size based on a rlog')
parser.add_argument('route', help='route to use')
args = parser.parse_args()
msgs = list(LogReader(args.route))
make_pie(msgs, 'qlog')
plt.show()