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scripts(latency): widen summary columns, refresh percentile-reset note
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
author
zzstoatzz
co-author
Claude Fable 5
date
(Jun 12, 2026, 1:48 AM -0500)
commit
896e4f86
896e4f86fce8d59862a2a2aabc9f0251e7878278
parent
f885f1eb
f885f1ebc2e829173fac81549ab04666d35f9bb2
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scripts/latency
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scripts/latency
···
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scripts/latency --plain # no ANSI (pipe/paste friendly)
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scripts/latency --backend http://... # point elsewhere
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Note: lifetime /stats percentiles persist across restarts and still carry
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the 2026-06-10 outage tail (p99 in MINUTES); the hourly series is the
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honest view of now.
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Note: lifetime /stats percentiles persist across restarts (reset
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2026-06-12 when the endpoint registry grew); the hourly series is the
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view of "now", the summary is the long arc.
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"""
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import argparse
···
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def ms(v: float) -> str:
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return f"{v:,.0f}ms"
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print(f"{'endpoint':<18}{'count':>8}{'p50':>10}{'p95':>12}{'p99':>14}{'max':>14}")
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print(f"{'endpoint':<26}{'count':>8}{'p50':>10}{'p95':>12}{'p99':>14}{'max':>14}")
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for n in names:
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t = timing[n]
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print(f"{n:<18}{t['count']:>8}{ms(t['p50_ms']):>10}{ms(t['p95_ms']):>12}{ms(t['p99_ms']):>14}{ms(t['max_ms']):>14}")
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print("\n(lifetime, persisted across restarts — includes 2026-06-10 outage tail)")
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print(f"{n:<26}{t['count']:>8}{ms(t['p50_ms']):>10}{ms(t['p95_ms']):>12}{ms(t['p99_ms']):>14}{ms(t['max_ms']):>14}")
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print("\n(lifetime since 2026-06-12 — percentile history reset when the endpoint registry grew)")
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plt.clear_figure()
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plt.theme("pro")