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 collections
import multiprocessing
import os
import requests
from tqdm import tqdm
import openpilot.system.hardware.tici.casync as casync
def get_chunk_download_size(chunk):
sha = chunk.sha.hex()
path = os.path.join(remote_url, sha[:4], sha + ".cacnk")
if os.path.isfile(path):
return os.path.getsize(path)
else:
r = requests.head(path, timeout=10)
r.raise_for_status()
return int(r.headers['content-length'])
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Compute overlap between two casync manifests')
parser.add_argument('frm')
parser.add_argument('to')
args = parser.parse_args()
frm = casync.parse_caibx(args.frm)
to = casync.parse_caibx(args.to)
remote_url = args.to.replace('.caibx', '')
most_common = collections.Counter(t.sha for t in to).most_common(1)[0][0]
frm_dict = casync.build_chunk_dict(frm)
# Get content-length for each chunk
with multiprocessing.Pool() as pool:
szs = list(tqdm(pool.imap(get_chunk_download_size, to), total=len(to)))
chunk_sizes = {t.sha: sz for (t, sz) in zip(to, szs, strict=True)}
sources: dict[str, list[int]] = {
'seed': [],
'remote_uncompressed': [],
'remote_compressed': [],
}
for chunk in to:
# Assume most common chunk is the zero chunk
if chunk.sha == most_common:
continue
if chunk.sha in frm_dict:
sources['seed'].append(chunk.length)
else:
sources['remote_uncompressed'].append(chunk.length)
sources['remote_compressed'].append(chunk_sizes[chunk.sha])
print()
print("Update statistics (excluding zeros)")
print()
print("Download only with no seed:")
print(f" Remote (uncompressed)\t\t{sum(sources['seed'] + sources['remote_uncompressed']) / 1000 / 1000:.2f} MB\tn = {len(to)}")
print(f" Remote (compressed download)\t{sum(chunk_sizes.values()) / 1000 / 1000:.2f} MB\tn = {len(to)}")
print()
print("Upgrade with seed partition:")
print(f" Seed (uncompressed)\t\t{sum(sources['seed']) / 1000 / 1000:.2f} MB\t\t\t\tn = {len(sources['seed'])}")
sz, n = sum(sources['remote_uncompressed']), len(sources['remote_uncompressed'])
print(f" Remote (uncompressed)\t\t{sz / 1000 / 1000:.2f} MB\t(avg {sz / 1000 / 1000 / n:4f} MB)\tn = {n}")
sz, n = sum(sources['remote_compressed']), len(sources['remote_compressed'])
print(f" Remote (compressed download)\t{sz / 1000 / 1000:.2f} MB\t(avg {sz / 1000 / 1000 / n:4f} MB)\tn = {n}")