|
|
|
@ -6,6 +6,7 @@ from collections import defaultdict |
|
|
|
|
import matplotlib.pyplot as plt |
|
|
|
|
|
|
|
|
|
from openpilot.tools.lib.logreader import LogReader |
|
|
|
|
from tqdm import tqdm |
|
|
|
|
|
|
|
|
|
MIN_SIZE = 0.5 # Percent size of total to show as separate entry |
|
|
|
|
|
|
|
|
@ -15,19 +16,23 @@ def make_pie(msgs, typ): |
|
|
|
|
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()) |
|
|
|
|
total = len(bz2.compress(b"".join([m.as_builder().to_bytes() for m in msgs]))) |
|
|
|
|
uncompressed_total = len(b"".join([m.as_builder().to_bytes() for m in msgs])) |
|
|
|
|
|
|
|
|
|
length_by_type = {k: len(b"".join(v)) for k, v in msgs_by_type.items()} |
|
|
|
|
# calculate compressed size by calculating diff when removed from the segment |
|
|
|
|
compressed_length_by_type = {} |
|
|
|
|
for k in tqdm(msgs_by_type.keys(), desc="Compressing"): |
|
|
|
|
compressed_length_by_type[k] = total - len(bz2.compress(b"".join([m.as_builder().to_bytes() for m in msgs if m.which() != k]))) |
|
|
|
|
|
|
|
|
|
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} - Real total {total / 1024:.2f} kB") |
|
|
|
|
print(f"{typ} - Breakdown total {sum(compressed_length_by_type.values()) / 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] |
|
|
|
|