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