63 lines
1.7 KiB
Python
Executable File
63 lines
1.7 KiB
Python
Executable File
#!/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 cereal.services import service_list
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from tools.lib.logreader import LogReader
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from tools.lib.route import Route
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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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compressed_length_by_type = {k: len(bz2.compress(b"".join(v))) for k, v in msgs.items()}
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total = sum(compressed_length_by_type.values())
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sizes = sorted(compressed_length_by_type.items(), key=lambda kv: kv[1])
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print(f"{typ} - Total {total / 1024:.2f} kB")
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for (name, sz) in sizes:
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print(f"{name} - {sz / 1024:.2f} kB")
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print()
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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)
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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='Check qlog size based on a rlog')
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parser.add_argument('route', help='route to use')
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parser.add_argument('segment', type=int, help='segment number to use')
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args = parser.parse_args()
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r = Route(args.route)
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rlog = r.log_paths()[args.segment]
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msgs = list(LogReader(rlog))
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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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qlog_by_type = defaultdict(list)
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for name, service in service_list.items():
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if service.decimation is None:
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continue
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for i, msg in enumerate(msgs_by_type[name]):
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if i % service.decimation == 0:
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qlog_by_type[name].append(msg)
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make_pie(msgs_by_type, 'rlog')
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make_pie(qlog_by_type, 'qlog')
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plt.show()
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