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qlog_size.py: more accurate msg size breakdown (#32723)
* grouping changes outcome * clean up * clean up * clean up * clean up * clean up
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@@ -6,6 +6,7 @@ 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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@@ -15,19 +16,23 @@ def make_pie(msgs, typ):
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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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length_by_type = {k: len(b"".join(v)) for k, v in msgs_by_type.items()}
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compressed_length_by_type = {k: len(bz2.compress(b"".join(v))) for k, v in msgs_by_type.items()}
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total = sum(compressed_length_by_type.values())
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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} - Total {total / 1024:.2f} kB")
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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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